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Journal articles on the topic 'Hydro-Meteorology'
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1
Hui, CAO, ZHANG Jishun, LIANG Zhingming, XU Yang, and WU Biqiong. "Practices of Hydro-Meteorological Support During Construction Period of Largehydropower Project." E3S Web of Conferences 233 (2021): 03045. http://dx.doi.org/10.1051/e3sconf/202123303045.
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The hydrological and meteorological hydro-meteorological support is one important part of the hydropower construction. Accidents caused by flood and rainstorm during construction will be reduced effectively with the help of reliable hydrological and meteorological forecast which also provides critical technical support for flood prevention and construction organization of projects under construction. Based on the practice of the hydro-meteorological support during the construction period of Three Gorges and Jinsha River cascade hydropower station, this article discussed the methods to support and serve hydro meteorology of large-scale cascade hydropower station construction. Meanwhile, this paper also builds up a hydro-meteorology supportive system for hydro-power station under construction which is led by a hydropower development company and associated by local professional institutions. And this research can also be utilized as a reference for other large-scale hydro-power station construction and to support the hydro-meteorology safeguard during the operation period.
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Robinson, Emma L., Matthew J. Brown, Alison L. Kay, Rosanna A. Lane, Rhian Chapman, Victoria A. Bell, and Eleanor M. Blyth. "Hydro-PE: gridded datasets of historical and future Penman–Monteith potential evaporation for the United Kingdom." Earth System Science Data 15, no. 10 (October 6, 2023): 4433–61. http://dx.doi.org/10.5194/essd-15-4433-2023.
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Abstract. We present two new potential evaporation datasets for the United Kingdom: a historical dataset, Hydro-PE HadUK-Grid, which is derived from the HadUK-Grid gridded observed meteorology (1969–2021), and a future dataset, Hydro-PE UKCP18 RCM, which is derived from UKCP18 regional climate projections (1980–2080). Both datasets are suitable for hydrological modelling and provide Penman–Monteith potential evapotranspiration parameterised for short grass, with and without a correction for interception on days with rainfall. The potential evapotranspiration calculations have been formulated to closely follow the methodology of the existing Meteorological Office Rainfall and Evaporation Calculation System (MORECS) potential evapotranspiration, which has historically been widely used by hydrological modellers in the United Kingdom. The two datasets have been created using the same methodology to allow seamless modelling from past to future. Hydro-PE HadUK-Grid shows good agreement with MORECS in much of the United Kingdom, although Hydro-PE HadUK-Grid is higher in the mountainous regions of Scotland and Wales. This is due to differences in the underlying meteorology, in particular the wind speed, which are themselves due to the different spatial scales of the data. Hydro-PE HadUK-Grid can be downloaded from https://doi.org/10.5285/9275ab7e-6e93-42bc-8e72-59c98d409deb (Brown et al., 2022) and Hydro-PE UKCP18 RCM can be downloaded from https://doi.org/10.5285/eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4 (Robinson et al., 2021).
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Vu, Tue, Ashok Mishra, and Goutam Konapala. "Information Entropy Suggests Stronger Nonlinear Associations between Hydro-Meteorological Variables and ENSO." Entropy 20, no. 1 (January 9, 2018): 38. http://dx.doi.org/10.3390/e20010038.
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Understanding the teleconnections between hydro-meteorological data and the El Niño–Southern Oscillation cycle (ENSO) is an important step towards developing flood early warning systems. In this study, the concept of mutual information (MI) was applied using marginal and joint information entropy to quantify the linear and non-linear relationship between annual streamflow, extreme precipitation indices over Mekong river basin, and ENSO. We primarily used Pearson correlation as a linear association metric for comparison with mutual information. The analysis was performed at four hydro-meteorological stations located on the mainstream Mekong river basin. It was observed that the nonlinear correlation information is comparatively higher between the large-scale climate index and local hydro-meteorology data in comparison to the traditional linear correlation information. The spatial analysis was carried out using all the grid points in the river basin, which suggests a spatial dependence structure between precipitation extremes and ENSO. Overall, this study suggests that mutual information approach can further detect more meaningful connections between large-scale climate indices and hydro-meteorological variables at different spatio-temporal scales. Application of nonlinear mutual information metric can be an efficient tool to better understand hydro-climatic variables dynamics resulting in improved climate-informed adaptation strategies.
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Proutsos, Nikolaos, Dimitris Tigkas, Magdalini Tsevreni, and Irida Tsevreni. "Encounters between forest hydrology, meteorology and philosophy of environmental education in the era of the Anthropocene." E3S Web of Conferences 436 (2023): 06011. http://dx.doi.org/10.1051/e3sconf/202343606011.
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The paper investigates water in the forest ecosystem through an interdisciplinary prism combining hydrology with meteorology, environmental education and environmental ethics. The research aimed at producing a pedagogical methodology of familiarising with the hydrological cycle in the forest, not with its stereotypical and knowledge-centred approach, but with a framework that would support an experiential, ecocentric and holistic way of environmental learning in the Anthropocene. The research process was implemented through a hybrid approach of action research and took place through research teams’ encounters with water in the forest ecosystem of Dirfys, Evia. Our hydro-pedagogies in the forest manifest through a spiral pedagogical process of experiencing, feeling and thinking with water, which flows in four cycles: a) exploring with water, b) empathising with water, c) interconnecting with water, and d) reflecting with water. Our proposed hydro-pedagogies flow in the Hydranthropocene as an alternative view to pedagogical research and praxis with water visualising an ecocentric, watery common future.
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Dąbrowska, Ewa, and Mateusz Torbicki. "Forecast of Hydro–Meteorological Changes in Southern Baltic Sea." Water 16, no. 8 (April 18, 2024): 1151. http://dx.doi.org/10.3390/w16081151.
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This paper presents a comprehensive approach to forecasting hydro–meteorological changes in a marine area, i.e., in large bodies of water, from open water to coastal zones. First, hydro–meteorological factors, their interactions, and their implications for marine ecosystems are described. In addition, an analysis is outlined specifically for the Baltic Sea area. Next, the procedure for forecasting expected changes in major hydro–meteorological parameters in the sea is presented and a series of steps is accurately described. An extensive prognosis is provided for the southern Baltic Sea region using historical data obtained from the Polish National Institute of Water Management and Meteorology. The procedure is applied for seven measurement points which were assigned to four sub-areas for examining trends in wind regimes and wave height patterns using the authors’ own written software and statistical methods for data analysis. The model was validated within the southern Baltic Sea region. This paper also highlights the significance of forecasting for human beings, the environment, and critical infrastructure by proposing adaptive strategies and integrated coastal zone management in mitigating risks and enhancing resilience. Finally, future directions for research are proposed.
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Tillekaratne, Hiran I., Induka Werellagama, Chandrasekara M. Madduma-Bandara, Thalakumbure W. M. T. W. Bandara, and Amila Abeynayaka. "Hydro-Meteorological Incident and Disaster Response in Sri Lanka. Case Study: 2016 May Rain Events." Earth 3, no. 1 (December 24, 2021): 1–17. http://dx.doi.org/10.3390/earth3010001.
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This paper investigates hydro-meteorological hazards faced by Sri Lanka, a lower-middle-income island country in Asia. It provides a case study of a major hydro-meteorological disaster incident that resulted in one of the largest landslides in the history of the country, the Post-Disaster Needs Assessment (PDNA) process, and the national disaster response. Rainfall and flood inundation data are provided for the whole country. The fact that data are held by several government agencies (namely Department of Meteorology, Department of Irrigation, and NBRO), somewhat coordinated by the Disaster Management Center (DMC) is shown. The need for more streamlined coordination of hydro-met data with online access of data for researchers is emphasized. The flood disaster situation and disaster declaration of the Western Province (which contributes nearly 40% of the GDP) is looked at, and evidence is presented to recommend a smaller governance unit for future disaster declarations, in order to bring aid to the places where it is needed and leaving other areas of the province to carry on with the normal economic activity. An example of the use of climate change scenarios in rainfall prediction is provided from a developed island nation (New Zealand). The need for Sri Lanka to increase its spending for hydro-met services (both infrastructure and skills) is highlighted (the global norm being 0.02 of GDP), as the return on such investment is tenfold.
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He, Zhiguo, Wenlin Hu, Li Li, Thomas Pähtz, and Jianlong Li. "Thermohaline Dynamics in the Northern Continental Slope of the South China Sea: A Case Study in the Qiongdongnan Slope." Journal of Marine Science and Engineering 10, no. 9 (September 1, 2022): 1221. http://dx.doi.org/10.3390/jmse10091221.
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Understanding the marine hydro-thermohaline environment is essential for terrestrial meteorology and the coastal ecosystem. Here, we provide insight into the hydro-thermohaline environment at the Qiongdongnan continental slope of the northern South China Sea and the mechanism controlling it, with focus on its short-term characteristics. We employ a well-validated three-dimensional unstructured-grid-based Finite Volume Coastal Ocean Model (FVCOM) to analyze the spatial-temporal behavior of its hydro-thermohaline structures and to quantify the transport fluxes over a full tidal period. The analysis reveals a two-layer flow structure with directionally oppositely moving layers in the along-isobaths direction. Furthermore, transport patterns undergo periodic changes. During the spring tide, the downslope (along-isobaths) transport of water/heat/salt is approximately 119%/70%/120% higher (62%/62%/62% lower) than during the neap tide. From analyzing the different terms in the thermohaline balance equation, we find that the main dynamic factors controlling heat transport over a tidal period are the gravitational convention and the mean flow, while the salt transport is only dominated by the mean flow. The data of the short-term thermohaline evolution of the QDNS provided in this study may be of use for future studies of the northern SCS, including its marine ecology and marine fisheries.
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Perrels, A., Th Frei, F. Espejo, L. Jamin, and A. Thomalla. "Socio-economic benefits of weather and climate services in Europe." Advances in Science and Research 10, no. 1 (May 28, 2013): 65–70. http://dx.doi.org/10.5194/asr-10-65-2013.
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Abstract. There is a rising interest around the world for a better understanding of the economic and social value added of weather services. National hydro-meteorological services and international cooperative bodies in meteorology have ever more to justify their use of public budgets. Furthermore, the development of hydrological and meteorological services is to a large extent steered by expectations regarding the eventual benefits of the envisaged new developments. This article provides a compact overview of the impediments for uptake of socio-economic benefit (SEB) studies, methods and results of SEB studies to date. It also discusses some pitfalls and crucial steps to enhance a broader uptake of SEB studies.
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E, Băutu. "Osimin - A meteorological data platform for processing SIMIN data built on open source software." Scientific Bulletin of Naval Academy XIX, no. 1 (July 15, 2018): 555–60. http://dx.doi.org/10.21279/1454-864x-18-i1-083.
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In 2003, the Romanian National Institute of Meteorology and Hydrology inaugurated National Integrated Meteorological System (SIMIN), consisting of a network of stations and instruments for measurement and detection of hydro and meteorological data, a specialized communication network, a forecasting network, and a dissemination network. With a setup cost of $55 million and a national priority role, SIMIN (implemented by Lockheed Martin) is relatively black boxed even today, using proprietary technology and software. Few institutions have direct access to the data it provides. In this paper, we present the design of a web-based software application built on open source software that allows easy access to and processing of data available in SIMIN.
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Ping, Zhang, Guo Chaoxuan, Yu Jie, Quan Qiumei, Yao Jianliang, Wang Jiyi, Ye Xiaorui, Zhu Mengyuan, Sun Qiliang, and Zhu Guangwei. "Characteristics of phytoplankton community structure and its response to hydro-meteorology in summer of Qiantang River." Journal of Lake Sciences 34, no. 2 (2022): 418–32. http://dx.doi.org/10.18307/2022.0205.
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Hebabi, S., N. El-Jabi, and S. Sarraf. "Analyse hydro-météorologique des débâcles de glaces de la rivière Nashwaak (Nouveau-Brunswick)." Canadian Journal of Civil Engineering 19, no. 2 (April 1, 1992): 349–54. http://dx.doi.org/10.1139/l92-038.
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The problems associated with ice cover formation, development, and breakup are numerous. In fact, every year ice breakup and ice jams cause damage throughout Canada. In New Brunswick, ice breakup is responsible for 35% of floods and 70% of damage to bridges. This paper describes a hydro-meteorological analysis of ice breakup along the Nashwaak River in New Brunswick. Thirteen events that occur between 1969 and 1982 were studied. First, river records were used to determine a breakup initiation index. A dimensional analysis was then performed integrating the index with meteorological variables and river flows. Although there was no resemblance between variations of meteorological factors from one event to the next, the results suggest that the index formulated has potential as a tool for development of predictive models for ice breakup. Key words: ice breakup, ice jam, floods, meteorology, flow, predictive model, damages, bridges, Nashwaak River.
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De Souza, Ludmila Pochmann, Rita de Cássia Marques Alves, and Gabriel Bonow Munchow. "AVALIAÇÃO DA PREVISIBILIDADE DO MODELO WRF-HYDRO EM MODELAGENS HIDROMETEOROLÓGICAS COM DIFERENTES RESOLUÇÕES NA BACIA DO TAQUARI-ANTAS." Revista Brasileira de Geografia Física 12, no. 5 (December 6, 2019): 1872. http://dx.doi.org/10.26848/rbgf.v12.5.p1872-1890.
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O presente estudo avalia o modelo WRF-Hydro uma ferramenta de previsão acoplada chuva/solo/vazão, buscando aperfeiçoar o grau de agilidade e confiabilidade das previsões na região considerada de grande vulnerabilidade, a bacia hidrográfica do Taquari-Antas/RS, localizada na região Sul do Brasil. A avaliação consistiu em analisar os resultados e a previsibilidade do modelo com diferentes resoluções espaciais na simulação de evento extremo ocorrido em janeiro de 2010. A primeira simulação foi realizada com duas grades do modelo meteorológico com 50 e 10 km e com a rede de canais com resolução de 1000 m. E a outra com três grades de 25, 5 e 1 km para meteorologia e rede de canais com 250 m. Avaliadas usando comparações da magnitude e da variabilidade dos fluxos da superfície da bacia, como precipitação e vazão do modelo com dados observados. Os resultados seguem as observações locais e apresentam bons resultados para servir como ferramenta em sistemas de alerta contra cheias nesta e em outras regiões. Predictability of the Wrf-Hydro Model in Hydrometeorological Modeling with Different Resolutions in the Taquari-Antas Basin A B S T R A C TThe present study evaluates the WRF-Hydro model, a rainfall/soil/flow coupled forecasting tool, aiming to improve the agility and reliability of the predictions in the region considered to be of great vulnerability, the Taquari-Antas/RS basin located in the region South of Brazil. The evaluation consisted of analyzing the results and predictability of the model with different spatial resolutions in the extreme event simulation that occurred in January 2010. The first simulation was performed with two grids of the 50 and 10 km meteorological model and with the channel network with resolution of 1000 m. And the other with three grids of 25, 5 and 1 km for meteorology and network of channels with 250 m. Evaluated using comparisons of magnitude and variability of basin surface fluxes, such as precipitation and flow of the model with observed data. The results follow local observations and present good results to serve as a tool in flood warning systems in this and other regions.Keywords: numerical forecasting, extreme events, WRF-Hydro, hydrological basin monitoring and hydro-meteorological modeling.
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Schunke, Julia, Patrick Laux, Jan Bliefernicht, Moussa Waongo, Windmanagda Sawadogo, and Harald Kunstmann. "Exploring the Potential of the Cost-Efficient TAHMO Observation Data for Hydro-Meteorological Applications in Sub-Saharan Africa." Water 13, no. 22 (November 22, 2021): 3308. http://dx.doi.org/10.3390/w13223308.
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The Trans-African Hydro-Meteorological Observatory (TAHMO) is a promising initiative aiming to install 20,000 stations in sub-Saharan Africa counteracting the decreasing trend of available measuring stations. To achieve this goal, it is particularly important that the installed weather stations are cost-efficient, appropriate for African conditions, and reliably measure the most important variables for hydro-meteorological applications. Since there exist no performance studies of TAHMO stations while operating in Africa, it is necessary to investigate their performance under different climate conditions. This study provides a first analysis of the performance of 10 selected TAHMO stations across Burkina Faso (BF). More specifically, the analysis consists of missing value statistics, plausibility tests of temperature (minimum, maximum) and precipitation, spatial dependencies (correlograms) by comparison with daily observations from synoptical stations of the BF meteorological service as well as cross-comparison between the TAHMO stations. Based on the results of this study for BF for the period from May 2017 to December 2020, it is concluded that TAHMO potentially offers a reliable and cost-efficient solution for applications in hydro-meteorology. The usage of wind speed measurements cannot be recommended without reservation, at least not without bias correcting of the data. The limited measurement period of TAHMO still prevents its usability in climate (impact) research. It is also stressed that TAHMO cannot replace existing observation networks operated by the local meteorological services, but it can be a complement and has great potential for detailed spatial analyses. Since restricted to BF in this analysis, more evaluation studies of TAHMO are needed considering different environmental and climate conditions across SSA.
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Şen, Zekâi, and Mansour Almazroui. "Actual Precipitation Index (API) for Drought Classification." Earth Systems and Environment 5, no. 1 (January 2021): 59–70. http://dx.doi.org/10.1007/s41748-021-00201-0.
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AbstractThe Standard Precipitation Index (SPI) is a widely used statistical technique for the characterization of droughts. It is based on a probabilistic standardization procedure, which converts a Gamma-type probability distribution function (PDF) into a normal (Gaussian) standard series with zero mean and unit standard deviation. Drought classification based on SPI indicates dry and wet spell characteristics, provided that the hydro-meteorological records abide by normal (Gaussian) PDF only, otherwise the results will be biased. Therefore, in this paper, the actual precipitation index (API) method is presented, which provides drought classification and information regardless of the underlying PDFs. The main purpose of this paper is to explain the main differences between SPI and API and to prove that the use of API is the more reliable solution for classification of droughts into five categories described as “Normal dry”, “Slightly dry”, “Medium dry”, “Very dry” and “Extremely dry”. The application of the methodology is presented for two sets of precipitation data; one with exponential PDF monthly precipitation records from Istanbul City, Turkey and one for New Jersey, USA with almost normal (Gaussian) PDF based on annual precipitation records. The comparisons indicate that API is applicable regardless of the underlying PDF of the hydro-meteorology data. It produces real drought classification from the original data without recourse to standard normal PDF conversion.
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Arnal, Louise, Maria-Helena Ramos, Erin Coughlan de Perez, Hannah Louise Cloke, Elisabeth Stephens, Fredrik Wetterhall, Schalk Jan van Andel, and Florian Pappenberger. "Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game." Hydrology and Earth System Sciences 20, no. 8 (August 2, 2016): 3109–28. http://dx.doi.org/10.5194/hess-20-3109-2016.
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Abstract. Probabilistic hydro-meteorological forecasts have over the last decades been used more frequently to communicate forecast uncertainty. This uncertainty is twofold, as it constitutes both an added value and a challenge for the forecaster and the user of the forecasts. Many authors have demonstrated the added (economic) value of probabilistic over deterministic forecasts across the water sector (e.g. flood protection, hydroelectric power management and navigation). However, the richness of the information is also a source of challenges for operational uses, due partially to the difficulty in transforming the probability of occurrence of an event into a binary decision. This paper presents the results of a risk-based decision-making game on the topic of flood protection mitigation, called "How much are you prepared to pay for a forecast?". The game was played at several workshops in 2015, which were attended by operational forecasters and academics working in the field of hydro-meteorology. The aim of this game was to better understand the role of probabilistic forecasts in decision-making processes and their perceived value by decision-makers. Based on the participants' willingness-to-pay for a forecast, the results of the game show that the value (or the usefulness) of a forecast depends on several factors, including the way users perceive the quality of their forecasts and link it to the perception of their own performances as decision-makers.
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Höge, Marvin, Martina Kauzlaric, Rosi Siber, Ursula Schönenberger, Pascal Horton, Jan Schwanbeck, Marius Günter Floriancic, et al. "CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland." Earth System Science Data 15, no. 12 (December 19, 2023): 5755–84. http://dx.doi.org/10.5194/essd-15-5755-2023.
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Abstract. We present CAMELS-CH (Catchment Attributes and MEteorology for Large-sample Studies – Switzerland), a large-sample hydro-meteorological data set for hydrologic Switzerland in central Europe. This domain covers 331 basins within Switzerland and neighboring countries. About one-third of the catchments are located in Austria, France, Germany and Italy. As an Alpine country, Switzerland covers a vast diversity of landscapes, including mountainous environments, karstic regions, and several strongly cultivated regions, along with a wide range of hydrological regimes, i.e., catchments that are glacier-, snow- or rain dominated. Similar to existing data sets, CAMELS-CH comprises dynamic hydro-meteorological variables and static catchment attributes. CAMELS-CH (Höge et al., 2023; available at https://doi.org/10.5281/zenodo.7784632) encompasses 40 years of data between 1 January 1981 and 31 December 2020, including daily time series of stream flow and water levels, and of meteorological data such as precipitation and air temperature. It also includes daily snow water equivalent data for each catchment starting from 2 September 1998. Additionally, we provide annual time series of land cover change and glacier evolution per catchment. The static catchment attributes cover location and topography, climate, hydrology, soil, hydrogeology, geology, land use, human impact and glaciers. This Swiss data set complements comparable publicly accessible data sets, providing data from the “water tower of Europe”.
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Hsu, Shih-Ang (S A. ). "Some Aspects of Marine Meteorology and Air-Sea-Wetland-River Interactions During Hurricane Ida (2021)." Advances in Environmental and Engineering Research 03, no. 04 (October 21, 2022): 1–28. http://dx.doi.org/10.21926/aeer.2204042.
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In August 2021 Hurricane Ida devastated southeast Louisiana. On the basis of numerous pertinent meteorological-oceanographic (met-ocean) information including datasets and graphics as supplied by various public agencies, several unique topics related to marine meteorology and air-sea-land interactions are investigated. It is found that a newly proposed revised relation between minimum sea-level pressure and maximum sustained wind speed is verified during Ida. Characteristics of the rapid intensification, defined as an increase in the sustained winds of a tropical cyclone (TC) of at least 30 knots in a 24-hour period, is presented. Severe wave steepness (≥1/20) was measured continuously for approximately 3 hours when the wind speed ranged between 35 to 45 m s<sup>-1</sup> at 38 m and the wave direction was from the east. Estimations for the wind stress on the wind-seas and a coastal wetland are presented. Finally, hydro-meteorological phenomena related to the Mississippi River flow reversal and the storm surges along the river levees are also revealed. For operational use, estimation methods and forecast formulas related to above topics are also provided.
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Selvarajah, Hemakanth, Toshio Koike, Mohamed Rasmy, Katsunori Tamakawa, Akio Yamamoto, Masuru Kitsuregawa, and Li Zhou. "Development of an Integrated Approach for the Assessment of Climate Change Impacts on the Hydro-Meteorological Characteristics of the Mahaweli River Basin, Sri Lanka." Water 13, no. 9 (April 28, 2021): 1218. http://dx.doi.org/10.3390/w13091218.
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Climate change is increasingly sensed by nations vulnerable to water-related disasters, and governments are acting to mitigate disasters and achieve sustainable development. Uncertainties in General Circulation Models’ (GCM) rainfall projections and seamless long-term hydrological simulations incorporating warming effects are major scientific challenges in assessing climate change impacts at the basin scale. Therefore, the Data Integration and Analysis System (DIAS) of Japan and the Water Energy Budget-based Rainfall-Runoff-Inundation model (WEB-RRI) were utilized to develop an integrated approach, which was then applied to the Mahaweli River Basin (MRB) in Sri Lanka to investigate climate change impacts on its hydro-meteorological characteristics. The results for the Representative Concentration Pathway (RCP8.5) scenario from four selected GCMs showed that, with an average temperature increase of 1.1 °C over the 20 years in future (2026 to 2045), the basin will experience more extreme rainfall (increase ranging 204 to 476 mm/year) and intense flood disasters and receive sufficient water in the future climate (inflow increases will range between 11 m3/s to 57 m3/s). The socio-economic damage due to flood inundation will also increase in the future climate. However, qualitatively, the overall trend of model responses showed an increasing pattern in future meteorological droughts whereas there is uncertainty in hydrological droughts. Policymakers can utilize these results and react to implementing soft or hard countermeasures for future policymaking. The approach can be implemented for climate change impact assessment of hydro-meteorology in any other river basin worldwide.
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Fadnavis, Suvarna, Bernd Heinold, T. P. Sabin, Anne Kubin, Katty Huang, Alexandru Rap, and Rolf Müller. "Air pollution reductions caused by the COVID-19 lockdown open up a way to preserve the Himalayan glaciers." Atmospheric Chemistry and Physics 23, no. 18 (September 21, 2023): 10439–49. http://dx.doi.org/10.5194/acp-23-10439-2023.
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Abstract. The rapid melting of glaciers in the Hindu Kush Himalayas (HKH) during recent decades poses an alarming threat to water security for larger parts of Asia. If this melting persists, the entirety of the Himalayan glaciers are estimated to disappear by end of the 21st century. Here, we assess the influence of the spring 2020 COVID-19 lockdown on the HKH, demonstrating the potential benefits of a strict emission reduction roadmap. Chemistry–climate model simulations, supported by satellite and ground measurements, show that lower levels of gas and aerosol pollution during lockdown led to changes in meteorology and to a reduction in black carbon in snow (2 %–14 %) and thus a reduction in snowmelt (10 %–40 %). This caused increases in snow cover (6 %–12 %) and mass (2 %–20 %) and a decrease in runoff (5 %–55 %) over the HKH and Tibetan Plateau, ultimately leading to an enhanced snow-equivalent water (2 %–55 %). We emphasize the necessity for immediate anthropogenic pollution reductions to address the hydro-climatic threat to billions of people in southern Asia.
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Domenech, S., F. Espejo, A. Ollero, and M. Sánchez-Fabre. "Recent floods in the Middle Ebro River, Spain: hydrometeorological aspects and floodplain management." Hydrology and Earth System Sciences Discussions 6, no. 5 (September 17, 2009): 5937–76. http://dx.doi.org/10.5194/hessd-6-5937-2009.
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Abstract. The Ebro River has the largest Mediterranean basin in the Iberian Peninsula and the third one by surface among those of the Mediterranean Sea. The middle stretch of this river is especially interesting because it constitutes a very economically important axis of population in a semi-arid environment context. Flooding processes are common in the Middle Ebro River, but the combination among decrease of discharges, dam construction and expansion and reinforcement of defences created an unusually quiet period as regards flooding events during the last quarter of the previous century. Nevertheless, with the turn of the century it seems that the Middle Ebro River has entered into new dynamics, with bigger and more frequent floods, the appearance of which has changed its seasonal nature. The most relevant examples are those of February 2003 and March–April 2007. The present paper examines these recent trends and discusses their possible causes from the points of view of hydro-meteorology, flood management through the use of reservoirs, and floodplain management. The consequences of recent floods in the Middle Ebro River have reopened the debate about possible risk management measures.
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Annas, Suwardi, Irwan Irwan, Rahmat H. Safei, and Zulkifli Rais. "K-Prototypes Algorithm for Clustering The Tectonic Earthquake in Sulawesi Island." Jurnal Varian 5, no. 2 (May 1, 2022): 191–98. http://dx.doi.org/10.30812/varian.v5i2.1908.
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Natural disasters that had occurred in Indonesia consist of hydro-meteorology: floods, droughts, and landslides, geophysical: volcanic earthquakes and volcanic eruptions, and biological: epidemics. Regarding the tectonic earthquake on Sulawesi Island, there are at least 2 earthquake disasters that became national disasters, namely in Central Sulawesi and West Sulawesi in the range of 2017 to 2021. This study aims to cluster tectonic earthquakes on Sulawesi Island, from 2017 to 2020, as the basis for formulating disaster mitigation plans. This study used tectonic earthquake data from 2017 to 2020 obtained from BMKG Gowa, Indonesia. The variables used are magnitude, depth, and distance category. Because they are mixed variables, this study used a k-prototype algorithm. There are four clusters in 2017, six clusters in 2018, five clusters in 2019, and six clusters in 2020 based on the ratio of within-cluster distance against between-cluster distance. It can be related to the active fault on Sulawesi Island. The characteristics of clusters form each year are the greater magnitude of the earthquake, the deeper of deep and the category distance is dominated by the regional level.
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Wakeyo, Fekremariam N., Assefa M. Melesse, and Brook Abate. "Trends of Hydro-Meteorological Indices in Tendaho Catchment Part of Awash River Basin, Ethiopia." Environmental Sciences Proceedings 4, no. 1 (November 13, 2020): 33. http://dx.doi.org/10.3390/ecas2020-08133.
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The variability in the intensity and frequency of extreme hydro-meteorological events due to climate change have an enormous impact on managing water resources in developing countries. Frequently it has been recognized as sudden droughts and severe floods. This study analyzed the spatial and temporal trends of five meteorology indices: annual maximum precipitation (AMP), annual precipitation (AP), mean areal precipitation (MAP), annual maximum temperature (AMaT) and annual minimum temperature (AMiT), and three streamflow indices: mean annual flow(MAF), annual maximum flow (AMaxF) and total mean annual flow (TMAF) over the Tendaho Catchment. Mann–Kendall (MK), Spearman Rho (SR), Sen’s slope (SS) test in R-program modifiedmk package, and Sen’s innovative trend test were used to detect trends of 16 meteorological and one streamflow stations from 1979–2017. The result showed that there is statistically significant temporal trends only in AMP, AP, AMaT, and AMiT at 6, 19, 56, and 50% of the stations respectively. The remaining indices have no statistically significant trend in all the stations. It also dictates that the catchment is characterized by a slightly increasing AP and AMP; a slightly decreasing MAP and significant increasing AMaT and AMiT trends. Except for AMaT, there is no particular spatial pattern of AP, MAP, and AMiT on the majority of the stations. Whereas, all streamflow indices showed a slightly decreasing temporal trend at 95% confidence. From this, we can conclude that the decreasing flow trend could be due to the decrement of MAP, an increment of temperature, and construction of reservoirs in the catchment.
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Wakeyo, Fekremariam N., Assefa M. Melesse, and Brook Abate. "Trends of Hydro-Meteorological Indices in Tendaho Catchment Part of Awash River Basin, Ethiopia." Environmental Sciences Proceedings 4, no. 1 (November 13, 2020): 33. http://dx.doi.org/10.3390/ecas2020-08127.
Full textAbstract:
The variability in the intensity and frequency of extreme hydro-meteorological events due to climate change have an enormous impact on managing water resources in developing countries. Frequently it has been recognized as sudden droughts and severe floods. This study analyzed the spatial and temporal trends of five meteorology indices: annual maximum precipitation (AMP), annual precipitation (AP), mean areal precipitation (MAP), annual maximum temperature (AMaT) and annual minimum temperature (AMiT), and three streamflow indices: mean annual flow(MAF), annual maximum flow (AMaxF) and total mean annual flow (TMAF) over the Tendaho Catchment. Mann–Kendall (MK), Spearman Rho (SR), Sen’s slope (SS) test in R-program modifiedmk package, and Sen’s innovative trend test were used to detect trends of 16 meteorological and one streamflow stations from 1979–2017. The result showed that there is statistically significant temporal trends only in AMP, AP, AMaT, and AMiT at 6, 19, 56, and 50% of the stations respectively. The remaining indices have no statistically significant trend in all the stations. It also dictates that the catchment is characterized by a slightly increasing AP and AMP; a slightly decreasing MAP and significant increasing AMaT and AMiT trends. Except for AMaT, there is no particular spatial pattern of AP, MAP, and AMiT on the majority of the stations. Whereas, all streamflow indices showed a slightly decreasing temporal trend at 95% confidence. From this, we can conclude that the decreasing flow trend could be due to the decrement of MAP, an increment of temperature, and construction of reservoirs in the catchment.
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Shin, Jae-Ki, and Yongeun Park. "Spatiotemporal and Longitudinal Variability of Hydro-meteorology, Basic Water Quality and Dominant Algal Assemblages in the Eight Weir Pools of Regulated River (Nakdong)." Korean Journal of Ecology and Environment 51, no. 4 (December 31, 2018): 268–86. http://dx.doi.org/10.11614/ksl.2018.51.4.268.
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Fu, Bolin, Zhinan Lao, Yiyin Liang, Jun Sun, Xu He, Tengfang Deng, Wen He, Donglin Fan, Ertao Gao, and Qinglin Hou. "Evaluating optically and non-optically active water quality and its response relationship to hydro-meteorology using multi-source data in Poyang Lake, China." Ecological Indicators 145 (December 2022): 109675. http://dx.doi.org/10.1016/j.ecolind.2022.109675.
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Godfrey, S., and G. Hailemichael. "Three-phase approach to improve deep groundwater supply availability in the Elidar district of Afar region of Ethiopia." Journal of Water, Sanitation and Hygiene for Development 6, no. 3 (July 8, 2016): 414–24. http://dx.doi.org/10.2166/washdev.2016.021.
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This study provides new evidence on the effectiveness of a combined remote sensing and hydrogeological investigation method for deep groundwater development in complex geologic and geomorphologic situations in Ethiopia. The study was undertaken in the Elidar district of the Afar region of Northern Ethiopia. Due to the water availability and vegetation in this district, the majority of the population (total population of 79,000 people and 647,000 head of cattle) are dependent on pastoralist livelihoods. The current ratio of available water supply facilities to number of beneficiaries is 1:2,323 people and 1:19,029 head of cattle. A joint UNICEF-UNESCO groundwater investigation pilot project with the objective of improving drilling success rates in the Elidar district considered a three-phase approach. In phase 1 and 2, an overlay method was developed that combined data from radar, optical remote sensing and ground measurement (geology, hydrogeology, hydrology, hydro-meteorology, and geophysics). The overlay model identified the most promising site to undertake well drilling, considering a probability of drilling wells with sufficient amount of water and permissible water quality (defined as Q = >2 L/s and EC < 2,000 μms/cm²). In phase 3, three production boreholes were drilled and the results showed a 92% accuracy against the overlay model.
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Coxon, Gemma, Nans Addor, John P. Bloomfield, Jim Freer, Matt Fry, Jamie Hannaford, Nicholas J. K. Howden, et al. "CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain." Earth System Science Data 12, no. 4 (October 12, 2020): 2459–83. http://dx.doi.org/10.5194/essd-12-2459-2020.
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Abstract. We present the first large-sample catchment hydrology dataset for Great Britain, CAMELS-GB (Catchment Attributes and MEteorology for Large-sample Studies). CAMELS-GB collates river flows, catchment attributes and catchment boundaries from the UK National River Flow Archive together with a suite of new meteorological time series and catchment attributes. These data are provided for 671 catchments that cover a wide range of climatic, hydrological, landscape, and human management characteristics across Great Britain. Daily time series covering 1970–2015 (a period including several hydrological extreme events) are provided for a range of hydro-meteorological variables including rainfall, potential evapotranspiration, temperature, radiation, humidity, and river flow. A comprehensive set of catchment attributes is quantified including topography, climate, hydrology, land cover, soils, and hydrogeology. Importantly, we also derive human management attributes (including attributes summarising abstractions, returns, and reservoir capacity in each catchment), as well as attributes describing the quality of the flow data including the first set of discharge uncertainty estimates (provided at multiple flow quantiles) for Great Britain. CAMELS-GB (Coxon et al., 2020; available at https://doi.org/10.5285/8344e4f3-d2ea-44f5-8afa-86d2987543a9) is intended for the community as a publicly available, easily accessible dataset to use in a wide range of environmental and modelling analyses.
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Parodi, Antonio, Dieter Kranzlmüller, Andrea Clematis, Emanuele Danovaro, Antonella Galizia, Luis Garrote, Maria Carmen Llasat, et al. "DRIHM(2US): An e-Science Environment for Hydrometeorological Research on High-Impact Weather Events." Bulletin of the American Meteorological Society 98, no. 10 (October 1, 2017): 2149–66. http://dx.doi.org/10.1175/bams-d-16-0279.1.
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Abstract From 1970 to 2012, about 9,000 high-impact weather events were reported globally, causing the loss of 1.94 million lives and damage of $2.4 trillion (U.S. dollars). The scientific community is called to action to improve the predictive ability of such events and communicate forecasts and associated risks both to affected populations and to those making decisions. At the heart of this challenge lies the ability to have easy access to hydrometeorological data and models and to facilitate the necessary collaboration between meteorologists, hydrologists, and computer science experts to achieve accelerated scientific advances. Two European Union (EU)-funded projects, Distributed Research Infrastructure for Hydro-Meteorology (DRIHM) and DRIHM to United States of America (DRIHM2US), sought to help address this challenge by developing a prototype e-science environment providing advanced end-to-end services (models, datasets, and postprocessing tools), with the aim of paving the way to a step change in how scientists can approach studying these events, with a special focus on flood events in complex topographic areas. This paper describes the motivation and philosophy behind this prototype e-science environment together with certain key components, focusing on hydrometeorological aspects that are then illustrated through actionable research for a critical flash flood event that occurred in October 2014 in Liguria, Italy.
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Wang, W., X. Chen, P. Shi, P. H. A. J. M. van Gelder, and G. Corzo. "Extreme precipitation and extreme streamflow in the Dongjiang River Basin in southern China." Hydrology and Earth System Sciences Discussions 4, no. 4 (July 23, 2007): 2323–60. http://dx.doi.org/10.5194/hessd-4-2323-2007.
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Abstract. Extreme hydro-meteorological events have become the focus of more and more studies in the last decade. Due to the complexity of the spatial pattern of changes in precipitation processes, it is still hard to establish a clear view of how precipitation has changed and how it will change in the future. In the present study, changes in extreme precipitation and streamflow processes in the Dongjiang River Basin in southern China are investigated. It was shown that little change is observed in annual extreme precipitation in terms of various indices, but some significant changes are found in the precipitation processes on a monthly basis. The result indicates that when detecting climate changes, besides annual indices, seasonal variations in extreme events should be considered as well. Despite of little change in annual extreme precipitation series, significant changes are detected in several annual extreme flood flow and low-flow series, mainly at the stations along the main channel of Dongjiang River, which are affected significantly by the operation of several major reservoirs. The result highlights the importance of evaluating the impacts of human activities in assessing the changes of extreme streamflows. In addition, three non-parametric methods that are not-commonly used by hydro-meteorology community, i.e., Kolmogorov–Smirnov test, Levene's test and quantile test, are introduced and assessed by Monte Carlo simulation in the present study to test for changes in the distribution, variance and the shift of tails of different groups of dataset. Monte Carlo simulation result shows that, while all three methods work well for detecting changes in two groups of data with large data size (e.g., over 200 points in each group) and big difference in distribution parameters (e.g., over 100% increase of scale parameter in Gamma distribution), none of them are powerful enough for small data sets (e.g., less than 100 points) and small distribution parameter difference (e.g., 50% increase of scale parameter in Gamma distribution).
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Niu, Kaijie, Qingfang Hu, Yintang Wang, Hanbo Yang, Chuan Liang, Leizhi Wang, Lingjie Li, Xiting Li, Yong Du, and Chengxi Li. "Analysis on the Variation of Hydro-Meteorological Variables in the Yongding River Mountain Area Driven by Multiple Factors." Remote Sensing 13, no. 16 (August 12, 2021): 3199. http://dx.doi.org/10.3390/rs13163199.
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In recent decades, strong human activities have not only brought about climate change including both global warming and shifts in the weather patterns but have also caused anomalous variations of hydrological elements in different basins all around the world. Studying the mechanisms and causes of these hydrological variations scientifically is the basis for the management of water resources and the implementation of ecological protection. Therefore, taking the Yongding River mountain area as a representative watershed in China, the changes of different observed and simulated hydro-meteorological variables and their possible causes are analyzed on an inter-annual scale based on ground based observations and remotely sensed data of hydrology, meteorology and underlying surface characteristics from 1956 to 2016. The results show that the annual natural runoff of Guanting hydrological station in the main stream of the Yongding River, Cetian hydrological station and Xiangshuibao hydrological station in the tributary of the Yongding River all have a significant decreasing trend and abrupt changes, and all the abrupt change points of the annual natural runoff series of the three hydrological stations appear in the early 1980s. On the inter-annual scale, the water balance model with double parameters is unable to effectively simulate the natural surface runoff after the abrupt change points. The annual average precipitation after the abrupt change points decreases by no more than 10%, compared with that before the abrupt change points. However, the precipitation from July to August, which is the main runoff-production period, decreases by more than 25%, besides the intra-annual temporal distribution of precipitation becoming uniform and a significant decrease in effective rainfall, which is the source of the runoff. Meanwhile, the NDVI in the basin show an increasing trend, while the groundwater level and land water storage decrease significantly. These factors do not lead only to the continuous reduction of the annual natural runoff in the Yongding River mountain area from 1956 to 2016, but also result in significant changes of the hydro-meteorological relationship in the basin.
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Bartholmes, J. C., J. Thielen, M. H. Ramos, and S. Gentilini. "The European Flood Alert System EFAS – Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts." Hydrology and Earth System Sciences Discussions 5, no. 1 (February 6, 2008): 289–322. http://dx.doi.org/10.5194/hessd-5-289-2008.
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Abstract. Since 2005 the European Flood Alert System (EFAS) has been producing probabilistic hydrological forecasts in pre-operational mode at the Joint Research Centre (JRC) of the European Commission. EFAS aims at increasing preparedness for floods in trans-national European river basins by providing medium-range deterministic and probabilistic flood forecasting information from 3 to 10 days in advance, to national hydro-meteorological services. This paper is Part 2 of a study presenting the development and skill assessment of EFAS. In Part 1, the scientific approach adopted in the development of the system has been presented, as well as its basic principles and forecast products. In the present article, two years of existing operational EFAS forecasts are statistically assessed and the skill of EFAS forecasts is analysed with several skill scores. The analysis is based on the comparison of threshold exceedances between proxy-observed and forecasted discharges. Skill is assessed both with and without taking into account the persistence of the forecasted signal during consecutive forecasts. Skill assessment approaches are mostly adopted from meteorology and the analysis also compares probabilistic and deterministic aspects of EFAS. Furthermore, the utility of different skill scores is discussed and their strengths and shortcomings illustrated. The analysis shows the benefit of incorporating past forecasts in the probability analysis, for medium-range forecasts, which effectively increases the skill of the forecasts.
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Bartholmes, J. C., J. Thielen, M. H. Ramos, and S. Gentilini. "The european flood alert system EFAS – Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts." Hydrology and Earth System Sciences 13, no. 2 (February 5, 2009): 141–53. http://dx.doi.org/10.5194/hess-13-141-2009.
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Abstract. Since 2005 the European Flood Alert System (EFAS) has been producing probabilistic hydrological forecasts in pre-operational mode at the Joint Research Centre (JRC) of the European Commission. EFAS aims at increasing preparedness for floods in trans-national European river basins by providing medium-range deterministic and probabilistic flood forecasting information, from 3 to 10 days in advance, to national hydro-meteorological services. This paper is Part 2 of a study presenting the development and skill assessment of EFAS. In Part 1, the scientific approach adopted in the development of the system has been presented, as well as its basic principles and forecast products. In the present article, two years of existing operational EFAS forecasts are statistically assessed and the skill of EFAS forecasts is analysed with several skill scores. The analysis is based on the comparison of threshold exceedances between proxy-observed and forecasted discharges. Skill is assessed both with and without taking into account the persistence of the forecasted signal during consecutive forecasts. Skill assessment approaches are mostly adopted from meteorology and the analysis also compares probabilistic and deterministic aspects of EFAS. Furthermore, the utility of different skill scores is discussed and their strengths and shortcomings illustrated. The analysis shows the benefit of incorporating past forecasts in the probability analysis, for medium-range forecasts, which effectively increases the skill of the forecasts.
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Luo, Yao, Dongxiao Wang, Tilak Priyadarshana Gamage, Fenghua Zhou, Charith Madusanka Widanage, and Taiwei Liu. "Wind and wave dataset for Matara, Sri Lanka." Earth System Science Data 10, no. 1 (January 24, 2018): 131–38. http://dx.doi.org/10.5194/essd-10-131-2018.
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Abstract. We present a continuous in situ hydro-meteorology observational dataset from a set of instruments first deployed in December 2012 in the south of Sri Lanka, facing toward the north Indian Ocean. In these waters, simultaneous records of wind and wave data are sparse due to difficulties in deploying measurement instruments, although the area hosts one of the busiest shipping lanes in the world. This study describes the survey, deployment, and measurements of wind and waves, with the aim of offering future users of the dataset the most comprehensive and as much information as possible. This dataset advances our understanding of the nearshore hydrodynamic processes and wave climate, including sea waves and swells, in the north Indian Ocean. Moreover, it is a valuable resource for ocean model parameterization and validation. The archived dataset (Table 1) is examined in detail, including wave data at two locations with water depths of 20 and 10 m comprising synchronous time series of wind, ocean astronomical tide, air pressure, etc. In addition, we use these wave observations to evaluate the ERA-Interim reanalysis product. Based on Buoy 2 data, the swells are the main component of waves year-round, although monsoons can markedly alter the proportion between swell and wind sea. The dataset (Luo et al., 2017) is publicly available from Science Data Bank (https://doi.org/10.11922/sciencedb.447).
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Xu, X., and R. I. Nigmatulin. "On Linear Instability of Atmospheric Quasi-hydrostatic Equations in Response to Small Shortwave Perturbations." Lobachevskii Journal of Mathematics 42, no. 9 (September 2021): 2237–56. http://dx.doi.org/10.1134/s1995080221090298.
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Abstract A set of 3-dimensional atmospheric-dynamics equations with quasi-hydrostatic approximation is proposed and justified with the practical goal to optimize atmospheric modelling at scales ranging from meso meteorology to global climate. Sound waves are filtered by applying the quasi-hydrostatic approximation. In the closed system of hydro/thermodynamic equations, the inertial forces are negligibly small compared to gravity forces, and the asymptotically exact equation for vertical velocity is obtained. Investigation of the stability of solutions to this system in response to small shortwave perturbations has shown that solutions have the property of shortwave instability. There are situations when the increment of the perturbation amplitude tends to infinity, corresponding to absolute instability. It means that the Cauchy problem for such equations may be ill-posed. Its formulation can become conditionally correct if solutions are sought in a limited class of sufficiently smooth functions whose Fourier harmonics tend to zero reasonably quickly when the wavelengths of the perturbations approach zero. Thus, the numerical scheme for the quasi-hydrostatic equations using the finite-difference method requires an adequately selected pseudo-viscosity to eliminate the instability caused by perturbations with wavelengths of the order of the grid size. The result is useful for choosing appropriate vertical and horizontal grid sizes for modelling to avoid shortwave instability associated with the property of the system of equations. Implementation of pseudo-viscosities helps to smoothen or suppress the perturbations that occur during modelling.
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Ortega, J., A. Turnipseed, A. B. Guenther, T. G. Karl, D. A. Day, D. Gochis, J. A. Huffman, et al. "Overview of the Manitou Experimental Forest Observatory: site description and selected science results from 2008–2013." Atmospheric Chemistry and Physics Discussions 14, no. 2 (January 20, 2014): 1647–709. http://dx.doi.org/10.5194/acpd-14-1647-2014.
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Abstract. The Bio-hydro-atmosphere interactions of Energy, Aerosols, Carbon, H2O, Organics & Nitrogen (BEACHON) project seeks to understand the feedbacks and inter-relationships between hydrology, biogenic emissions, carbon assimilation, aerosol properties, clouds and associated feedbacks within water-limited ecosystems. The Manitou Experimental Forest Observatory (MEFO) was established in 2008 by the National Center for Atmospheric Research to address many of the BEACHON research objectives, and it now provides a fixed field site with significant infrastructure. MEFO is a mountainous, semi-arid ponderosa pine-dominated forest site that is normally dominated by clean continental air, but is periodically influenced by anthropogenic sources from Colorado Front Range cities. This article summarizes the past and ongoing research activities at the site, and highlights some of the significant findings that have resulted from these measurements. These activities include: – soil property measurements, – hydrological studies, – measurements of high-frequency turbulence parameters, – eddy covariance flux measurements of water, energy, aerosols and carbon dioxide through the canopy, – biogenic and anthropogenic volatile organic compound emissions and their influence on regional atmospheric chemistry, – aerosol number and mass distributions, – chemical speciation of aerosol particles, – characterization of ice and cloud condensation nuclei, – trace gas measurements, and – model simulations using coupled chemistry and meteorology. In addition to various long-term continuous measurement, three focused measurement campaigns with state-of-the-art instrumentation have taken place since the site was established, and two of these are the subjects of this special issue: BEACHON-ROCS (Rocky Mountain Organic Carbon Study, 2010) and BEACHON-RoMBAS (Rocky Mountain Biogenic Aerosol Study, 2011).
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Ortega, J., A. Turnipseed, A. B. Guenther, T. G. Karl, D. A. Day, D. Gochis, J. A. Huffman, et al. "Overview of the Manitou Experimental Forest Observatory: site description and selected science results from 2008 to 2013." Atmospheric Chemistry and Physics 14, no. 12 (June 26, 2014): 6345–67. http://dx.doi.org/10.5194/acp-14-6345-2014.
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Abstract. The Bio-hydro-atmosphere interactions of Energy, Aerosols, Carbon, H2O, Organics & Nitrogen (BEACHON) project seeks to understand the feedbacks and inter-relationships between hydrology, biogenic emissions, carbon assimilation, aerosol properties, clouds and associated feedbacks within water-limited ecosystems. The Manitou Experimental Forest Observatory (MEFO) was established in 2008 by the National Center for Atmospheric Research to address many of the BEACHON research objectives, and it now provides a fixed field site with significant infrastructure. MEFO is a mountainous, semi-arid ponderosa pine-dominated forest site that is normally dominated by clean continental air but is periodically influenced by anthropogenic sources from Colorado Front Range cities. This article summarizes the past and ongoing research activities at the site, and highlights some of the significant findings that have resulted from these measurements. These activities include - soil property measurements; - hydrological studies; - measurements of high-frequency turbulence parameters; - eddy covariance flux measurements of water, energy, aerosols and carbon dioxide through the canopy; - determination of biogenic and anthropogenic volatile organic compound emissions and their influence on regional atmospheric chemistry; - aerosol number and mass distributions; - chemical speciation of aerosol particles; - characterization of ice and cloud condensation nuclei; - trace gas measurements; and - model simulations using coupled chemistry and meteorology. In addition to various long-term continuous measurements, three focused measurement campaigns with state-of-the-art instrumentation have taken place since the site was established, and two of these studies are the subjects of this special issue: BEACHON-ROCS (Rocky Mountain Organic Carbon Study, 2010) and BEACHON-RoMBAS (Rocky Mountain Biogenic Aerosol Study, 2011).
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Ramili, Yunita, and Halikuddin Umasangaji. "An Assessment of Microplastics (MPs) Sedimentary Accumulation in Seagrass Meadows of Mare Island Conservation Area, North Maluku, Indonesia." Omni-Akuatika 18, S1 (June 25, 2022): 48. http://dx.doi.org/10.20884/1.oa.2022.18.1.921.
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Research on the occurrence and the characteristics of microplastics (MPs) sedimentary in seagrass meadows at the area of Mare Island conservation is the very first study in this region. The objectives of this work is to determine the abundance and the characteristics of MPS and its diversity in the two villages namely Maregam and Marekofo at the Island. Samples are collected using sediment core, then dried and extracted using NaCl to separate the density. MPs were identified under a microscope after going through the filtering process. The abundance of MPs particles ranges from 17,000 - 37,000 particles. kg-1dry weight (dw) sediment at Station 1 (Maregam) and 13.839 - 30,666 particles.kg-1 dw sediment at Station 2 (Marekofo). In general, the average value of MPs abundance at station 1 higher than station 2 were 27.090 ± 13.908 particles.kg-1 dw of sediment and 18,368 ± 10,625 particles.kg-1 dw of sediment, respectively. Statistically there no significance difference of the MPs abundance between the two station Furthermore, the predominance of MPs types were fiber and fragments, while the majority of colors of particles were blue. While the results of the microplastic diversity test indicated that MPS particles at Mare Island were not too complex and were in unstable conditions. Even though the less density of the population at the island, MPs were quite high compared to other areas in the world. This finding is allegedly that those MPs were supplied from the distance which transmitted by hydro-oceanographic and meteorology factors, beyond of local contribution.Keywords: Microplastic, seagrass bed, sediment, conservation area, Mare Island
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Venkatesh, R., S. Abdul Rahaman, R. Jegankumar, and P. Masilamani. "ECO-ENVIRONMENTAL VULNERABILITY ZONATION IN ESSENCE OF ENVIRONMENTAL MONITORING AND MANAGEMENT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B5-2020 (August 24, 2020): 149–55. http://dx.doi.org/10.5194/isprs-archives-xliii-b5-2020-149-2020.
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Abstract. The concern of present-day conservation of eco-environment and its approach is to diminish the vulnerability, which demands focus region identification and protection. The identification of the focus region needs greater expertise and management. However, assessment of eco-environmental vulnerability requires numerous variables. The variables are categorised under four extensive aspects namely, hydro-meteorology, land resources, topography and socio-economic factors. The Pombar watershed enfolds three main urbanised cities Bargur, Thirupattur and Uthangarai connected by state-highway (SH-179A) and most of the settlements are situated near foothill regions. Thus, the cultural features persisting in the watershed are subjected to eco-environment vulnerable conditions. Therefore, extraction of variables is carried out using Landsat 8 OLI, Sentinel-2B, ALOS PALSAR DEM and IMD rainguage data respectively. The generated parameters affecting the environment are weighed and ranked through the Analytical Hierarchical Process (AHP) with Geospatial technology for eco-environment vulnerability assessment. Then vulnerability level is categorised into five classes like very high, high, moderate, low and very low with an area of 10%, 12%, 37%, 23%, and 18% respectively. The very high and high classes are distributed in low lying plain regions, where there is high anthropogenic activities, urbanisation and industrialisation, a moderate vulnerable class is more in plateau region due to deforestation and over exploitation. However, very low and low classes are sparsely distributed in higher altitude. The integration of Geospatial technology with AHP makes a powerful tool to assess the eco-environment vulnerability and therefore, three focus regions are demarcated to devote a massive concern on protection and management in the essence of sustainable development.
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Furtado, Kalli, and Paul Field. "A strong statistical link between aerosol indirect effects and the self-similarity of rainfall distributions." Atmospheric Chemistry and Physics 22, no. 5 (March 14, 2022): 3391–407. http://dx.doi.org/10.5194/acp-22-3391-2022.
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Abstract. We use convective-scale simulations of monsoonal clouds to reveal a self-similar probability density function that underpins surface rainfall statistics. This density is independent of cloud-droplet number concentration and is unchanged by aerosol perturbations. It therefore represents an invariant property of our model with respect to cloud–aerosol interactions. For a given aerosol concentration, if the dependence of at least one moment of the rainfall distribution on cloud-droplet number is a known input parameter, then the self-similar density can be used to reconstruct the entire rainfall distribution to a useful degree of accuracy. In particular, we present both single-moment and double-moment reconstructions that are able to predict the responses of the rainfall distributions to changes in aerosol concentration. In doing so, we show that the seemingly high-dimensional space of possible aerosol-induced rainfall-distribution transformations can be parameterised by surprisingly few (at most 3) independent “degrees of freedom”: the self-similar density and auxiliary information about two moments of the rainfall distribution. Comparisons to convection-permitting forecasts of mid-latitude weather and atmosphere-only global simulations show that the self-similar density is also independent of model physics and background meteorology. A theoretical explanation for this invariance is given, based on numerical results from a stochastic rainfall simulator. This suggests that, although aerosol indirect effects on any specific hydro-meteorological system may be multifarious in terms of rainfall changes and physical mechanisms, there may, nevertheless, be a universal constraint on the number of independent degrees of freedom needed to represent the dependencies of rainfall on aerosols.
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Şen, Zekâi. "Assessing Wet and Dry Periods Using Standardized Precipitation Index Fractal (SPIF) and Polygons: A Novel Approach." Water 16, no. 4 (February 17, 2024): 592. http://dx.doi.org/10.3390/w16040592.
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In the open literature, there are numerous studies on the normal and extreme (flood and drought) behavior of wet and dry periods based on the understanding of the standard precipitation index (SPI), which provides a series of categorizations by considering the standard normal (Gaussian) probability distribution function (PDF). The numerical meaning of each categorization assessment is quite lacking in terms of future predictions of wet and dry period duration based on historical records. This paper presents a new approach for calculating possible formations of future wet and dry period durations based on historical records through an effective fractal geometric forecasting approach. The essence of the proposed methodology is based on the number of dry periods (steps) of non-overlapping monthly duration along consecutive broken line paths in the SPI classification for wet and dry period durations. It has been observed that the plot of periods on double logarithmic paper falls along a straight line against the number of such periods, implying a power function, which is the essence of fractal geometry. Extending the empirically derived straight line provides the number of periods that may occur in the future over a range of SPI levels. This methodology is referred to as SPI fractal (SPIF), and the classic SPI classification is converted into SPIF wet and dry polygons, which provide additional information about the drought period number within a valid polygonal area, compared to the classic SPI results. The wet and dry period features of any hydro-meteorology time series are constrained in SPIF polygons. The application of the methodology was carried out on monthly rainfall records on the European side of the Istanbul Florya meteorological station in Turkey.
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Tamayo, Jorge, Ernesto Rodriguez-Camino, Alfonso Hernanz, and Sara Covaleda. "Downscaled climate change scenarios for Central America." Advances in Science and Research 19 (October 10, 2022): 105–15. http://dx.doi.org/10.5194/asr-19-105-2022.
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Abstract. The intersectoral workshop held in December 2016 among the Ibero-American networks on water, climate change and meteorology, identified the need of downscaled climate change scenarios for Central America. Such scenarios would be developed by National Meteorological and Hydrological Services in the region, based on a common methodology, allowing the assessment of climate change impacts on water resources and extreme hydro-meteorological events. This project was supported by the International and Ibero-American Foundation for Administration and Public Policies of Spain in the framework of the EUROCLIMA+ programme. One final outcome of the project has been a freely accessible web viewer, installed on the Centro Clima webpage (https://centroclima.org/escenarios-cambio-climatico/, last access: 26 September 2022), managed by the Regional Committee on Hydraulic Resources of the Central American Integration System, where all information generated during the project is available for consultation and data downloading by the different sectors of users. A key element in this project has been to integrate many downscaled projections based on different methods (dynamical and statistical), totalizing 45 different projections, and aiming at estimating the uncertainty coming from different sources in the best possible way. Another essential element has been the strong involvement of the different user sectors through national workshops, first, at the beginning of the project for the identification and definition of viewer features, and then for the presentation of results and planning of its use by prioritized sectors. In a second phase of the project, a regional working group made up of experts from the participating National Meteorological and Hydrological Services will be in charge of viewer maintenance and upgrade, including new sectoral parameters, developed in collaboration with interested users, and computation and addition of new downscaled projections from CMIP6 in collaboration with the State Meteorological Agency of Spain.
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Acharya, Suwash Chandra, Rory Nathan, Quan J. Wang, Chun-Hsu Su, and Nathan Eizenberg. "An evaluation of daily precipitation from a regional atmospheric reanalysis over Australia." Hydrology and Earth System Sciences 23, no. 8 (August 19, 2019): 3387–403. http://dx.doi.org/10.5194/hess-23-3387-2019.
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Abstract. An accurate representation of spatio-temporal characteristics of precipitation fields is fundamental for many hydro-meteorological analyses but is often limited by the paucity of gauges. Reanalysis models provide systematic methods of representing atmospheric processes to produce datasets of spatio-temporal precipitation estimates. The precipitation from the reanalysis datasets should, however, be evaluated thoroughly before use because it is inferred from physical parameterization. In this paper, we evaluated the precipitation dataset from the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia (BARRA) and compared it against (a) gauged point observations, (b) an interpolated gridded dataset based on gauged point observations (AWAP – Australian Water Availability Project), and (c) a global reanalysis dataset (ERA-Interim). We utilized a range of evaluation metrics such as continuous metrics (correlation, bias, variability, and modified Kling–Gupta efficiency), categorical metrics, and other statistics (wet-day frequency, transition probabilities, and quantiles) to ascertain the quality of the dataset. BARRA, in comparison with ERA-Interim, shows a better representation of rainfall of larger magnitude at both the point and grid scale of 5 km. BARRA also more closely reproduces the distribution of wet days and transition probabilities. The performance of BARRA varies spatially, with better performance in the temperate zone than in the arid and tropical zones. A point-to-grid evaluation based on correlation, bias, and modified Kling–Gupta efficiency (KGE′) indicates that ERA-Interim performs on par or better than BARRA. However, on a spatial scale, BARRA outperforms ERA-Interim in terms of the KGE′ score and the components of the KGE′ score. Our evaluation illustrates that BARRA, with richer spatial variations in climatology of daily precipitation, provides an improved representation of precipitation compared with the coarser ERA-Interim. It is a useful complement to existing precipitation datasets for Australia, especially in sparsely gauged regions.
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Mohd Shahli, Fitryaliah, Siti Nazahiyah Rahmat, and Siti Nor Aishah Mohd Salleh. "Hydrochemical analysis and evaluation of heavy metals in groundwater: A case study." MATEC Web of Conferences 250 (2018): 06009. http://dx.doi.org/10.1051/matecconf/201825006009.
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The hydrochemical characteristics and the type of groundwater were identified in order to investigate the elements of major ions of groundwater samples in hydro-meteorology station located in Universiti Tun Hussien Onn Malaysia, UTHM. The objectives of the study were to measure the concentration of major ions and evaluate their chemical compositions . The measured ions were namely sodium (Na), magnesium (Mg), calcium (Ca), potassium (K), chloride (Cl), bicarbonate (HCO3), sulfate (SO4), heavy metals substance such as zinc (zn), ferum (Fe), copper (Cu), and manganese (Mn). Eight (8) groundwater samples were collected between January 2018 and March 2018 from a tubewell located at the Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor followed by laboratory analyses by using Standard Methods for the Examination of Water and Wastewater. The concentrations of major cations and anions were determined and the concecutive strength were Na>Mg>K>Ca and Cl>HCO3>SO, respectively. Correlations among various pollutants were also observed. Strong correlations (p<0.01) were found between Total Dissolved Solid (TDS) and Electric Conductivity (EC). Both TDS and EC also showed strong positive correlations with Na, Mg, and Cl ions. The dispersal of major ions in groundwater was determined using piper diagram. The major cation and anion found were Na and Cl, respectively. The type of water that predominates in the study area was Na–Cl which indicated the groundwater influence from seawater intrusion. Mean concentrations for heavy metals parameters were also identified. The values milligram per litre (mg/L) were Mn (0.20), Cu (0.01), Fe (0.50) and Zn (0.04), respectively. Overall, the selected heavy metal parameters which were Mn, Cu, Fe and Zn met the Recommended Raw Water Standard by Ministry of Health, Malaysia.
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SINGH, DEEPAK, and VIKASH C. GOYAL. "Planning of agricultural inputs in Ur watershed to maximize net benefit under limited resources." Indian Journal of Agricultural Sciences 88, no. 2 (April 27, 2018): 326–32. http://dx.doi.org/10.56093/ijas.v88i2.79227.
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Two models (CROPWAT and LINGO) were used to optimize the resource allocation and achieving higher efficiency in agricultural productivity. Quantitative evaluation of hydro-meteorology parameters was carried out for crop water and irrigation requirement planning using CROPWAT model. Whereas, LINGO model applied to determine the optimum land and water resources allocation to major crops of kharif and rabi season in the Ur watershed using agriculture data such as net income per ha which was calculated based on various sub factures, viz. cost of fertilizers and pesticides, cost of seeds, yield of crops, daily wages of labour and machine charges, selling base price of commodities. Results revealed that the crop water requirement in kharif season was 593 cm and in rabi season 421 cm, whereas irrigation requirement was 71.16 cm and 294.7 cm respectively. Because, the crop grown during kharif season require less irrigation water. Therefore only supplemental irrigation requirement have to be planned for kharif crops. But in rabi season, more irrigation water is required to bring whole area under cultivation. That’s why the scenarios were considered based on available resources of watershed to fulfill the demand. Output of the CROPWAT model was used as input of the LINGO model for formulation of the linear programming equations under different scenario. There were three scenarios considered in each cropping seasons, viz. in kharif season (i) Existing scenario; (ii) Some need based crop scenario; (iii) Limitation with cash crop scenario; and in rabi season (i) Existing scenario with conventional method of wheat growing; (ii) Scenario under System of Wheat Intensification; (iii) Scenario under increasing 10% irrigation water. It was observed that the combination of both the models is appropriate for finding the optimal land and water resources allocation to the major crops in kharif and rabi season for maximizing net income of the watershed.
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Alvarez-Garreton, Camila, Pablo A. Mendoza, Juan Pablo Boisier, Nans Addor, Mauricio Galleguillos, Mauricio Zambrano-Bigiarini, Antonio Lara, et al. "The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset." Hydrology and Earth System Sciences 22, no. 11 (November 13, 2018): 5817–46. http://dx.doi.org/10.5194/hess-22-5817-2018.
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Abstract. We introduce the first catchment dataset for large sample studies in Chile. This dataset includes 516 catchments; it covers particularly wide latitude (17.8 to 55.0∘ S) and elevation (0 to 6993 m a.s.l.) ranges, and it relies on multiple data sources (including ground data, remote-sensed products and reanalyses) to characterise the hydroclimatic conditions and landscape of a region where in situ measurements are scarce. For each catchment, the dataset provides boundaries, daily streamflow records and basin-averaged daily time series of precipitation (from one national and three global datasets), maximum, minimum and mean temperatures, potential evapotranspiration (PET; from two datasets), and snow water equivalent. We calculated hydro-climatological indices using these time series, and leveraged diverse data sources to extract topographic, geological and land cover features. Relying on publicly available reservoirs and water rights data for the country, we estimated the degree of anthropic intervention within the catchments. To facilitate the use of this dataset and promote common standards in large sample studies, we computed most catchment attributes introduced by Addor et al. (2017) in their Catchment Attributes and MEteorology for Large-sample Studies (CAMELS) dataset, and added several others. We used the dataset presented here (named CAMELS-CL) to characterise regional variations in hydroclimatic conditions over Chile and to explore how basin behaviour is influenced by catchment attributes and water extractions. Further, CAMELS-CL enabled us to analyse biases and uncertainties in basin-wide precipitation and PET. The characterisation of catchment water balances revealed large discrepancies between precipitation products in arid regions and a systematic precipitation underestimation in headwater mountain catchments (high elevations and steep slopes) over humid regions. We evaluated PET products based on ground data and found a fairly good performance of both products in humid regions (r>0.91) and lower correlation (r<0.76) in hyper-arid regions. Further, the satellite-based PET showed a consistent overestimation of observation-based PET. Finally, we explored local anomalies in catchment response by analysing the relationship between hydrological signatures and an attribute characterising the level of anthropic interventions. We showed that larger anthropic interventions are correlated with lower than normal annual flows, runoff ratios, elasticity of runoff with respect to precipitation, and flashiness of runoff, especially in arid catchments. CAMELS-CL provides unprecedented information on catchments in a region largely underrepresented in large sample studies. This effort is part of an international initiative to create multi-national large sample datasets freely available for the community. CAMELS-CL can be visualised from http://camels.cr2.cl and downloaded from https://doi.pangaea.de/10.1594/PANGAEA.894885.
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Magnin, F., P. Deline, L. Ravanel, J. Noetzli, and P. Pogliotti. "Thermal characteristics of permafrost in the steep alpine rock walls of the Aiguille du Midi (Mont Blanc Massif, 3842 m a.s.l)." Cryosphere 9, no. 1 (January 16, 2015): 109–21. http://dx.doi.org/10.5194/tc-9-109-2015.
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Abstract. Permafrost and related thermo-hydro-mechanical processes are thought to influence high alpine rock wall stability, but a lack of field measurements means that the characteristics and processes of rock wall permafrost are poorly understood. To help remedy this situation, in 2005 work began to install a monitoring system at the Aiguille du Midi (3842 m a.s.l). This paper presents temperature records from nine surface sensors (eight years of records) and three 10 m deep boreholes (4 years of records), installed at locations with different surface and bedrock characteristics. In line with previous studies, our temperature data analyses showed that: micro-meteorology controls the surface temperature, active layer thicknesses are directly related to aspect and ranged from <2 m to nearly 6 m, and that thin accumulations of snow and open fractures are cooling factors. Thermal profiles empirically demonstrated the coexistence within a single rock peak of warm and cold permafrost (about −1.5 to −4.5 °C at 10 m depth) and the resulting lateral heat fluxes. Our results also extended current knowledge of the effect of snow, in that we found similar thermo-insulation effects as reported for gentle mountain areas. Thick snow warms shaded areas, and may reduce active layer refreezing in winter and delay its thawing in summer. However, thick snow thermo-insulation has little effect compared to the high albedo of snow which leads to cooler conditions at the rock surface in areas exposed to the sun. A consistent inflection in the thermal profiles reflected the cooling effect of an open fracture in the bedrock, which appeared to act as a thermal cutoff in the sub-surface thermal regime. Our field data are the first to be obtained from an Alpine permafrost site where borehole temperatures are below −4 °C, and represent a first step towards the development of strategies to investigate poorly known aspects in steep bedrock permafrost such as the effects of snow cover and fractures.
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Woldemeskel, Fitsum, David McInerney, Julien Lerat, Mark Thyer, Dmitri Kavetski, Daehyok Shin, Narendra Tuteja, and George Kuczera. "Evaluating post-processing approaches for monthly and seasonal streamflow forecasts." Hydrology and Earth System Sciences 22, no. 12 (December 6, 2018): 6257–78. http://dx.doi.org/10.5194/hess-22-6257-2018.
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Abstract. Streamflow forecasting is prone to substantial uncertainty due to errors in meteorological forecasts, hydrological model structure, and parameterization, as well as in the observed rainfall and streamflow data used to calibrate the models. Statistical streamflow post-processing is an important technique available to improve the probabilistic properties of the forecasts. This study evaluates post-processing approaches based on three transformations – logarithmic (Log), log-sinh (Log-Sinh), and Box–Cox with λ=0.2 (BC0.2) – and identifies the best-performing scheme for post-processing monthly and seasonal (3-months-ahead) streamflow forecasts, such as those produced by the Australian Bureau of Meteorology. Using the Bureau's operational dynamic streamflow forecasting system, we carry out comprehensive analysis of the three post-processing schemes across 300 Australian catchments with a wide range of hydro-climatic conditions. Forecast verification is assessed using reliability and sharpness metrics, as well as the Continuous Ranked Probability Skill Score (CRPSS). Results show that the uncorrected forecasts (i.e. without post-processing) are unreliable at half of the catchments. Post-processing of forecasts substantially improves reliability, with more than 90 % of forecasts classified as reliable. In terms of sharpness, the BC0.2 scheme substantially outperforms the Log and Log-Sinh schemes. Overall, the BC0.2 scheme achieves reliable and sharper-than-climatology forecasts at a larger number of catchments than the Log and Log-Sinh schemes. The improvements in forecast reliability and sharpness achieved using the BC0.2 post-processing scheme will help water managers and users of the forecasting service make better-informed decisions in planning and management of water resources. Highlights. Uncorrected and post-processed streamflow forecasts (using three transformations, namely Log, Log-Sinh, and BC0.2) are evaluated over 300 diverse Australian catchments. Post-processing enhances streamflow forecast reliability, increasing the percentage of catchments with reliable predictions from 50 % to over 90 %. The BC0.2 transformation achieves substantially better forecast sharpness than the Log-Sinh and Log transformations, particularly in dry catchments.
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Han, Jingya, Chiyuan Miao, Jiaojiao Gou, Haiyan Zheng, Qi Zhang, and Xiaoying Guo. "A new daily gridded precipitation dataset for the Chinese mainland based on gauge observations." Earth System Science Data 15, no. 7 (July 25, 2023): 3147–61. http://dx.doi.org/10.5194/essd-15-3147-2023.
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Abstract. High-quality, freely accessible, long-term precipitation estimates with fine spatiotemporal resolution play essential roles in hydrologic, climatic, and numerical modeling applications. However, the existing daily gridded precipitation datasets over China are either constructed with insufficient gauge observations or neglect topographic effects and boundary effects on interpolation. Using daily observations from 2839 gauges located across China and nearby regions from 1961 to the present, this study compared eight different interpolation schemes that adjusted the climatology based on a monthly precipitation constraint and topographic characteristic correction, using an algorithm that combined the daily climatology field with a precipitation ratio field. Results from these eight interpolation schemes were validated using 45 992 high-density daily gauge observations from 2015 to 2019 across China. Of these eight schemes, the one with the best performance merges the Parameter-elevation Regression on Independent Slopes Model (PRISM) in the daily climatology field and interpolates station observations into the ratio field using an inverse-distance weighting method. This scheme had median values of 0.78 for the correlation coefficient, 8.8 mm d−1 for the root-mean-square deviation, and 0.69 for the Kling–Gupta efficiency for comparisons between the 45 992 high-density gauge observations and the best interpolation scheme for the 0.1∘ latitude × longitude grid cells from 2015 to 2019. This scheme had the best overall performance, as it fully considers topographic effects in the daily climatology field and it balances local data fidelity and global fitting smoothness in the interpolation of the precipitation ratio field. Therefore, this scheme was used to construct a new long-term, gauge-based gridded precipitation dataset for the Chinese mainland (called CHM_PRE, as a member of the China Hydro-Meteorology dataset) with spatial resolutions of 0.5, 0.25, and 0.1∘ from 1961 to the present. This precipitation dataset is expected to facilitate the advancement of drought monitoring, flood forecasting, and hydrological modeling. Free access to the dataset can be found at https://doi.org/10.6084/m9.figshare.21432123.v4 (Han and Miao, 2022).
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Upadhyay, Surabhi, Priya Silwal, Rajaram Prajapati, Rocky Talchabhadel, Sandesh Shrestha, Sudeep Duwal, and Hanik Lakhe. "Evaluating Magnitude Agreement and Occurrence Consistency of CHIRPS Product with Ground-Based Observations over Medium-Sized River Basins in Nepal." Hydrology 9, no. 8 (August 16, 2022): 146. http://dx.doi.org/10.3390/hydrology9080146.
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High spatio-temporal resolution and accurate long-term rainfall estimates are critical in sustainable water resource planning and management, assessment of climate variability and extremes, and hydro-meteorology-related water system decisions. The recent advent of improved higher-resolution open-access satellite-based rainfall products has emerged as a viable complementary to ground-based observations that can often not capture the rainfall variability on a spatial scale. In a developing country such as Nepal, where the rain-gauge monitoring network is sparse and unevenly distributed, satellite rainfall estimates are crucial. However, substantial errors associated with such satellite rainfall estimates pose a challenge to their application, particularly in complex orographic regions such as Nepal. Therefore, these precipitation products must be validated before practical usage to check their accuracy and occurrence consistency. This study aims to assess the reliability of the Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) product against ground-based observations from 1986 to 2015 in five medium-sized river basins in Nepal, namely, Babai, Bagmati, Kamala, Kankai, and the West Rapti river basin. A set of continuous evaluation metrics (correlation coefficient, root mean square error, relative bias, and Kling-Gupta efficiency) were used in analyzing the accuracy of CHIRPS and categorical metrics (probability of detection, critical success index, false alarm ratio, and frequency bias index). The Probability of Detection and Critical Success Index values were found to be considerably low (<0.4 on average), while the false alarm ratio was significant (>0.4 on average). It was found that CHIRPS showed better performance in seasonal and monthly time scales with high correlation and indicated greater consistency in non-monsoon seasons. Rainfall amount (less than 10 mm and greater than 150 mm) and rainfall frequency was underestimated by CHIRPS in all basins, while the overestimated rainfall was between 10 and 100 mm in all basins except Kamala. Additionally, CHIRPS overestimated dry days and maximum consecutive dry days in the study area. Our study suggests that CHIRPS rainfall products cannot supplant the ground-based observations but complement rain-gauge networks. However, the reliability of this product in capturing local extreme events (such as floods and droughts) seems less prominent. A high-quality rain gauge network is essential to enhance the accuracy of satellite estimations.
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Ragno, Elisa, Markus Hrachowitz, and Oswaldo Morales-Nápoles. "Applying non-parametric Bayesian networks to estimate maximum daily river discharge: potential and challenges." Hydrology and Earth System Sciences 26, no. 6 (March 31, 2022): 1695–711. http://dx.doi.org/10.5194/hess-26-1695-2022.
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Abstract. Non-parametric Bayesian networks (NPBNs) are graphical tools for statistical inference widely used for reliability analysis and risk assessment and present several advantages, such as the embedded uncertainty quantification and limited computational time for the inference process. However, their implementation in hydrological studies is still scarce. Hence, to increase our understanding of their applicability and extend their use in hydrology, we explore the potential of NPBNs to reproduce catchment-scale hydrological dynamics. Long-term data from 240 river catchments with contrasting climates across the United States from the Catchment Attributes and Meteorology for Large-sample Studies (CAMELS) data set will be used as actual means to test the utility of NPBNs as descriptive models and to evaluate them as predictive models for maximum daily river discharge in any given month. We analyse the performance of three networks, one unsaturated (hereafter UN-1), one saturated (hereafter SN-1), both defined only by hydro-meteorological variables and their bivariate correlations, and one saturated network (hereafter SN-C), consisting of the SN-1 network and including physical catchments' attributes. The results indicate that the UN-1 network is suitable for catchments with a positive dependence between precipitation and discharge, while the SN-1 network can also reproduce discharge in catchments with negative dependence. The latter can reproduce statistical characteristics of discharge (tested via the Kolmogorov–Smirnov statistic) and have a Nash–Sutcliffe efficiency (NSE) ≥0.5 in ∼40 % of the catchments analysed, receiving precipitation mainly in winter and located in energy-limited regions at low to moderate elevation. Further, the SN-C network, based on similarity of the catchments, can reproduce discharge statistics in ∼10 % of the catchments analysed. We show that once a NPBN is defined, it is straightforward to infer discharge and to extend the network itself with additional variables, i.e. going from the SN-1 network to the SN-C network. However, the results also suggest considerable challenges in defining a suitable NPBN, particularly for predictions in ungauged basins. These are mainly due to the discrepancies in the timescale of the different physical processes generating discharge, the presence of a “memory” in the system, and the Gaussian-copula assumption used for modelling multivariate dependence.