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Relevant bibliographies by topics / Precipitation variability

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Academic literature on the topic 'Precipitation variability'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Precipitation variability"

1

Maradin, Mladen, and Anita Filipčić. "Spatial Differences in Precipitation Variability of Central Croatia." Hrvatski geografski glasnik/Croatian Geographical Bulletin 74, no. 1 (2012): 41–59. http://dx.doi.org/10.21861/hgg.2012.74.01.03.

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Ozcelik, Ceyhun. "A Regional Approach for Investigation of Temporal Precipitation Changes." Sustainability 13, no. 10 (2021): 5733. http://dx.doi.org/10.3390/su13105733.

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Climatic variability is one of the fundamental aspects of the climate. Our scope of knowledge of this variability is limited by unavailable long-term high-resolution spatial data. Climatic simulations indicate that warmer climate increases extreme precipitations but decreases high-frequency temperature variability. As an important climatologic variable, the precipitation is reported by the IPCC to increase in mid and high altitudes and decrease in subtropical areas. On a regional scale, such a change needs spatio-parametric justification. In this regard, a regionalization approach relying on f

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Maradin, Mladen. "Varijabilnost padalina na području Hrvatske s maritimnim pluviometrijskim režimom." Geoadria 18, no. 1 (2013): 3. http://dx.doi.org/10.15291/geoadria.142.

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The paper deals with the precipitation variability areas of Croatia with pluviometric regime. Precipitation variability was analyzed using yearly and monthly values of the mean relative variability for 18 stations in the period 1950-2007. The research results showed that there is relatively large range of precipitation variability in the researched area. The highest precipitation variability was recorded in Lastovo and the lowest in Parg station. The primary maximum of precipitation variability in the northern Adriatic area is in October, while in the southern part of the Adriatic maximum vari

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Amundsen, Eirik S., and Sigve Tjøtta. "Hydroelectric rent and precipitation variability." Energy Economics 15, no. 2 (1993): 81–91. http://dx.doi.org/10.1016/0140-9883(93)90026-n.

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Leščešen, Igor, Dragan Milošević, and Rastislav Stojsavljević. "Variability and trends of precipitation on lowand high-altitude stations in Serbia." Zbornik radova Departmana za geografiju, turizam i hotelijerstvo, no. 50-1 (2021): 14–23. http://dx.doi.org/10.5937/zbdght2101014l.

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For the trend analysis of the annual, seasonal and monthly precipitation linear regression and Mann-Kendall (MK) tests at the 5% significance level were applied. In this study, precipitation data from two stations in Serbia for the 1949-2019 period were used. Results indicate that increasing trends of precipitation for the selected station can be observed but these trends were not statistically significant according to MK test. Then again, MK test has shown that only on Palić station during autumn precipitations have statistically significant increase during the observed period with a p value

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Ramaroson, Voahirana, Joel Rajaobelison, Lahimamy P. Fareze, Falintsoa A. Razafitsalama, Mamiseheno Rasolofonirina, and Christian U. Rakotomalala. "Water Stable Isotope Composition of Precipitations at Two Stations in Antananarivo-Madagascar: A Comparative Study." Earth Science Research 11, no. 1 (2022): 1. http://dx.doi.org/10.5539/esr.v11n1p1.

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In the &ldquo;Global Network of Isotopes in Precipitation&rdquo; database, Antananarivo has two distinct datasets from two stations. Thirty-four years separate the two datasets. This study aims on the one hand to depict the variations of the water stable isotopes composition of precipitations from the two stations and understand their origins, mainly in relation to meteorological factors. On the other hand, the Antananarivo data are compared with regional and international data to identify other sources of isotope composition variability in precipitation. Isotope records showed that af

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Segura, Hans, and Cathy Hohenegger. "How Do the Tropics Precipitate? Daily Variations in Precipitation and Cloud Distribution." Journal of the Meteorological Society of Japan 102, no. 5 (2024): 525−537. https://doi.org/10.2151/jmsj.2024-028.

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Abstract What controls the variability of daily precipitation averaged over the tropics? Are these the most numerousprecipitation rates or the most intense ones? And do they relate to a specific cloud type? This work addresses these questions using precipitation from the one-year simulation of the global-coupled storm-resolving ICOsahedral Non-hydrostatic model run in its Sapphire configuration (ICON-Sapphire) and observations. Moreover, we develop a framework to analyze the precipitation variability based on the area covered by and the mean intensity of different groups of precipitation rates

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Chelton, Dudley B., and Craig M. Risien. "A Hybrid Precipitation Index Inspired by the SPI, PDSI, and MCDI. Part II: Application to Investigate Precipitation Variability along the West Coast of North America." Journal of Hydrometeorology 21, no. 9 (2020): 1977–2002. http://dx.doi.org/10.1175/jhm-d-19-0231.1.

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AbstractThe hybrid precipitation index developed in Part I of this study is applied to investigate precipitation variability along the west coast of North America during the wet season November–March on monthly-to-interannual time scales. The variability in each of six regions considered in this study is negatively correlated with nearby 500-hPa geopotential height anomalies. Except in Southeast Alaska, these correlation patterns indicate that precipitation variability in each region is predominantly influenced by local atmospheric forcing analogous to the ridging of the westerly flow that has

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Zhao, C., Y. Ding, B. Ye, et al. "An analyses of long-term precipitation variability based on entropy over Xinjiang, northwestern China." Hydrology and Earth System Sciences Discussions 8, no. 2 (2011): 2975–99. http://dx.doi.org/10.5194/hessd-8-2975-2011.

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Abstract. Precipitation is one of important supply of water resources in arid and semiarid region of northwestern China, plays the vital role to maintain the fragile ecosystem. The entropy method was employed to detect the spatial variability of precipitation over monthly, seasonal and annual timescales in Xinjiang. The spatial distribution of precipitation variability was significantly affected by topography, and was zonal on annual, seasonal and monthly. The non-parametric Mann-kendall test was used to analyze the change point of trend. A precipitation concentration index has been developed

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Kienzler, P. M., and F. Naef. "Temporal variability of subsurface stormflow formation." Hydrology and Earth System Sciences Discussions 4, no. 4 (2007): 2143–67. http://dx.doi.org/10.5194/hessd-4-2143-2007.

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Abstract. Subsurface storm flow (SSF) can play a key role for the runoff generation at hillslopes. Quantifications of SSF suffer from the limited understanding of how SSF is formed and how it varies in time and space. This study concentrates on the temporal variability of SSF formation. Controlled sprinkling experiments at three experimental slopes were replicated with varying precipitation intensity and varying antecedent precipitation. SSF characteristics were observed with hydrometric measurements and tracer experiments. SSF response was affected in different ways and to varying degree by c

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Dissertations / Theses on the topic "Precipitation variability"

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Guo, Zhichang. "Spatial and temporal variability of modern Antarctic precipitation /." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu148640228826226.

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Mojzisek, Jan, and n/a. "Precipitation variability in the South Island of New Zealand." University of Otago. Department of Geography, 2006. http://adt.otago.ac.nz./public/adt-NZDU20070503.151144.

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Precipitation is one of the atmospheric variables that characterize the climate of a region. The South Island of New Zealand (SI of NZ) has an unusually large number of distinct regional climates and its climatic diversity includes the coldest, wettest, driest and windiest places in New Zealand. This thesis focuses on identifying precipitation trends and rainfall fluctuations for the SI of NZ. First, homogeneity of 184 precipitation series is assessed with the combination of three homogeneity tests (Standard Normal Homogeneity Test, Easterling & Peterson test, Vincent�s Multiple Linear Regre

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Bashir, Furrukh, and Furrukh Bashir. "Hydrometeorological Variability over Pakistan." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/626357.

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Pakistan, as an agriculture based economy, is vulnerable to various hydrometeorological hazards ranging from tropical cyclones, thunderstorms, tornadoes, drought, rain, hail, snow, lightning, fog, wind, temperature extremes, air pollution, and climatic change. However, three of the most pressing challenges in terms of water resource availability, that are different in nature, but are inter-linked to each other are discussed over here. We begin with the Karakoram Anomaly that is considered as one of the most mysterious and most speculated phenomena on Planet Earth. Though, it is confined to th

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Scott, Michael H. "Precipitation variability of streamflow fraction in West Central Florida." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001793.

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Simpson, Ian. "Precipitation variability across the UK : observations and model simulations." Thesis, University of East Anglia, 2011. https://ueaeprints.uea.ac.uk/39149/.

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Day, Jesse Alexander. "The Dynamics of Precipitation Variability in the Asian Monsoon." Thesis, University of California, Berkeley, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10150844.

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<p> The Asian summer monsoon supplies around 3 billion people with much of their yearly supply of freshwater, necessary for human consumption as well as in agriculture and industry. In many regions, particularly along the Ganges River in India and in northern China, use of freshwater far exceeds natural recharge rates. Given the high population density of these regions, a substantial fraction of Asia's population is therefore critically sensitive to interannual changes in the supply of freshwater by the monsoon, as well as potential future change under 21st century warming. This dissertation f

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Tuel, Alexandre. "Precipitation variability and change over Morocco and the Mediterranean." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/129036.

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Thesis: Ph. D. in Hydrology, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, September, 2020<br>Cataloged from student-submitted PDF of thesis.<br>Includes bibliographical references (pages 264-287).<br>Water is a critical factor limiting economic and social development in Morocco and the Mediterranean Basin. In addition to strong seasonality and high inter-annual variability, annual precipitation remains low (<500mm) across much of the region. Furthermore, the situation is not expected to improve under climate change as models project a sustained decl

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Ek, Ella. "Precipitation variability modulates the terrestrial carbon cycle in Scandinavia." Thesis, Uppsala universitet, Luft-, vatten- och landskapslära, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-445453.

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Climate variability and the carbon cycle (C-cycle) are tied together in complex feedback loops and due to these complexities there are still knowledge-gaps of this coupling. However, to make accurate predictions of future climate, profound understanding of the C-cycle and climate variability is essential. To gain more knowledge of climate variability, the study aims to identify recurring spatial patterns of the variability of precipitation anomalies over Scandinavia during spring and summer respectively between 1981 to 2014. These patterns will be related to the C-cycle through changes in summ

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Fuller, Jacob. "Strength Property Variability in Microbial Induced Calcite Precipitation Soils." UNF Digital Commons, 2017. https://digitalcommons.unf.edu/etd/773.

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Microbial Induced Calcite Precipitation (MICP) is an attractive alternative for a variety geotechnical ground improvement practices commonly used today and has a variety of potential applications. This research focuses primarily on its use as a soil stabilization technique using the bacteria Sporosarcina Pasteurii and a single injection point percolation method adapted from previous research in granular soils. This method, and most published data, show an inherent variability in both physical and engineering properties due to the distribution of precipitated calcite within the specimen. The fo

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HAMOUDA, MOSTAFA ESSAM ABDELRAHMAN. "LARGE SCALE DRIVERS OF EXTREME PRECIPITATION VARIABILITY IN EUROPE." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2021. http://hdl.handle.net/10281/314175.

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È noto che le precipitazioni invernali europee sono ben stimate nei dati di rianalisi e nelle simulazioni dai modelli dato che sono altamente correlate con modi con variabilità su larga scala e a bassa frequenza come l'oscillazione del Nord Atlantico (NAO) e l'oscillazione artica (AO). Dal momento che NAO e AO sono principalmente modi di variabilità invernale, la capacità di stimare le precipitazioni è più limitata nelle altre stagioni, soprattutto in estate, in cui (quando) le precipitazioni sono principalmente dovute alla convezione a mesoscala. La prima parte dello studio utilizza dati osse

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Books on the topic "Precipitation variability"

1

Brázdil, Rudolf. Variation of atmospheric precipitation in the C.S.S.R. with respect to precipitation changes in the European region. Univerzita J.E. Purkyně, 1986.

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Kożuchowski, Krzysztof. Kontynentalizm pluwialny w Polsce: Zróżnicowanie geograficzne i zmiany wieloletnie. Zakład Narodowy im. Ossolińskich, 1988.

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Coca, Sergio Reyes. Tendencias y variabilidad interanual de la lluvia en Aguascalientes. Gobierno del Estado de Aguascalientes, Oficina de Coordinación de Asesores, 1994.

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Bousnina, Abderrahmen. La variabilité des pluies en Tunisie. Université de Tunis, 1986.

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5

Mateu, Joan Estrada. Característiques climatològiques de la precipitació al Pirineu Andorrà. Institut d'Estudis Andorrans, Centre de Recerca en Ciènces de la Terra, 2004.

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Hogan, Daniel Lewis. Meteorological conditions associated with hillslope failures on the Queen Charlotte Islands. Ministry of Forests, 1991.

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Kożuchowski, Krzysztof. Zmienność opadów atmosferycznych w Polsce w stuleciu 1881-1980. Zakład Narodowy im. Ossolińskich, 1985.

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1927-, Vogel John L., and United States. National Weather Service., eds. Relationship between storm and antecedent precipitation over Kansas, Oklahoma, and eastern Colorado. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1995.

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Chin, Edwin H. Relationship between storm and antecedent precipitation over Kansas, Oklahoma, and eastern Colorado. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1995.

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1927-, Vogel John L., and United States. National Weather Service, eds. Relationship between storm and antecedent precipitation over Kansas, Oklahoma, and eastern Colorado. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1995.

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Book chapters on the topic "Precipitation variability"

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Welch, E. B., D. E. Spyridakis, and T. Smayda. "Temporal Chemical Variability in Acid Sensitive High Elevation Lakes." In Acidic Precipitation. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-3385-9_109.

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Samson, Perry J., Mark Fernau, and Patricia Allison. "On the Variability of Simulated Source-Receptor Relationships for Sulfur Deposition." In Acidic Precipitation. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-3385-9_83.

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Loranger, T. J., D. F. Brakke, M. B. Bonoff, and B. F. Gall. "Temporal Variability of Lake Waters in the North Cascades Mountains (Washington, U.S.A.)." In Acidic Precipitation. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-3385-9_118.

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Downing, Thomas E., Fredrick K. Karanja, Mohamed Saïd Karrouk, Fred M. Zaal, and Mohamed A. Salih. "Precipitation Variability and Food Security." In Understanding the Earth System. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56843-5_17.

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Arkin, Phillip A., Heidi M. Cullen, and Pinping Xie. "Oceanic Precipitation Variability and the North Atlantic Oscillation." In Measuring Precipitation From Space. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5835-6_4.

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Riha, Susan J., Gail Senesac, and Eric Pallant. "Effects of Forest Vegetation on Spatial Variability of Surface Mineral Soil pH, Soluble Aluminum and Carbon." In Acidic Precipitation. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-3385-9_191.

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Van Stan, John T., Anke Hildebrandt, Jan Friesen, Johanna C. Metzger, and Sandra A. Yankine. "Spatial Variability and Temporal Stability of Local Net Precipitation Patterns." In Precipitation Partitioning by Vegetation. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-29702-2_6.

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Zorita, Eduardo, Birgit Hünicke, Nele Tim, and Matthieu Rouault. "Past Climate Variability in the Last Millennium." In Sustainability of Southern African Ecosystems under Global Change. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-10948-5_5.

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AbstractWe review our knowledge of the climate variability in southern Africa over the past millennium, based on information provided by proxy data and by climate simulations. Since proxy data almost exclusively record past temperature and/or precipitation, the review is focused on those two variables. Proxy data identify three thermal phases in the region: a medieval warm period around year 1000 CE (common era), a Little Ice Age until about the eighteenth century, and a clear warming phase since that temperature minimum until the present period. Variations of precipitation are different in th

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Lettenmaier, Dennis. "Stochastic Modeling of Precipitation with Applications to Climate Model Downscaling." In Analysis of Climate Variability. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03744-7_11.

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Lettenmaier, Dennis. "Stochastic Modeling of Precipitation with Applications to Climate Model Downscaling." In Analysis of Climate Variability. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03167-4_11.

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Conference papers on the topic "Precipitation variability"

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Hu, Xiong, Xianbin Zhao, Li Wang, Weihua Ai, Genwang Liu, and Junqi Qiao. "Variability of Heavy Ice Precipitation in Eastern China Revealed by GPM DPR Observations." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640664.

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Salcedo-Bosch, Andreu, Zong Lian, Jason B. Cohen, Yuanjing Yang, and Simone Lolli. "Comparative analysis of precipitation scavenging effects on aerosol loading in Shanghai: seasonal variability and implications for air quality management." In Remote Sensing of Clouds and the Atmosphere XXIX, edited by Evgueni I. Kassianov and Simone Lolli. SPIE, 2024. http://dx.doi.org/10.1117/12.3031200.

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Das, Diya, Sandip Pal, Eric Bruning, and Brian Hirth. "Exploring Spatial Variability of Precipitation over the Semi-Arid Region of West Texas Using Ground Based and Satellite Remote Sensing Measurements Synergy." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641391.

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Nikolov, Dimitar, Cvetan Dimitrov, and Radoslav Evgeniev. "RECENT CHANGES IN THE SNOW COVER DURATION IN BULGARIA � PRELIMINARY RESULTS." In 24th SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/4.1/s19.57.

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Snow cover is an indicator of the fluctuating climate, resulting from the change in the regime of winter precipitations and air temperatures. Our previous studies have revealed significant decreasing of the seasonal snow cover maxima and the precipitation amounts in the highest mountainous regions of Bulgaria, which is however not so strong at lower altitudes. Current research summarizes our last findings about one other characteristic of the snow cover � its duration. This is presented as annual number of days with snow cover with different heights. We have used 62 weather stations with altit

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Pilecka-Ulcugaceva, Jovita, Anda Bakute, Maris Bertins, Kristaps Siltumens, and Inga Grinfelde. "ASSESSMENT OF HEAVY METAL CONTAMINATION IN URBAN SNOW: A CASE STUDY OF NICKEL AND COPPER IN JELGAVA, LATVIA." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/4.2/s18.25.

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Snow water pollution, especially from heavy metals, is a growing global environmental concern, as urbanization and industrial activities increasingly contribute to the contamination of precipitation. Snow, acting as a natural filter, accumulates atmospheric pollutants, which are subsequently released during snowmelt, entering stormwater systems and surface water bodies. This issue has been observed across Europe, North America, and other industrialized regions, where heavy metals such as nickel (Ni) and copper (Cu) are prevalent contaminants. In Latvia, studies on snow pollution remain limited

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MIREA, Adrian. "Variability of Precipitation in Oltenia." In Air and Water – Components of the Environment 2024 Conference Proceedings. Casa Cărţii de Ştiinţă, 2024. http://dx.doi.org/10.24193/awc2024_07.

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Excess atmospheric precipitation is part of the category of climatic risk phenomena and is located at the opposite pole to the phenomena of dryness and drought (Octavia Bogdan, Ion Marinică, 2007). They are possible in any season of the year and can be determined by both rains and heavy snowfalls, produced mainly by cyclonic activity on the continent. Precipitation is one of the important factors that can compete with triggering the phenomena of dryness and drought, but also of excess humidity. The causes of excess precipitation are related to the dynamics of the atmosphere, but it can also be

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Yang, Song, Eric A. Smith, and Kwo-Sen Kuo. "Diurnal variability of precipitation from TRMM measurements." In Asia-Pacific Remote Sensing Symposium, edited by Tiruvalam N. Krishnamurti, B. N. Goswami, and Toshiki Iwasaki. SPIE, 2006. http://dx.doi.org/10.1117/12.696275.

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Nikolov, Dimitar, and Cvetan Dimitrov. "ANALYSIS OF THE VARIABILITY OF THE WINTER PRECIPITATIONS AND TEMPERATURES IN TWO MOUNTAIN REGIONS OF BULGARIA." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/4.1/s19.35.

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Snow cover is an indicator of the fluctuating climate, resulting from the change in the regime of winter precipitations and air temperatures. Our previous study has revealed significant decreasing of the snow cover in the high altitudes of Vitosha mountain. The current sturdy is now focused on these two meteorological variable � the type and amount of the winter precipitations and the seasonal change of the air temperature. Monthly and seasonal values of precipitation amounts, number of days with different type of precipitation and mean air temperature from 6 meteorological stations in Vitosha

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Yankova, Maya Yordanova. "WATER RESOURCES IN NORTHWEST BULGARIA AND THE PRECIPITATION VARIABILITY." In 15th International Multidisciplinary Scientific GeoConference SGEM2015. Stef92 Technology, 2011. http://dx.doi.org/10.5593/sgem2015/b31/s12.099.

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Bhatia, Udit, and Auroop Ratan Ganguly. "Extreme Values from Spatiotemporal Chaos: Precipitation Extremes and Climate Variability." In 2018 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2018. http://dx.doi.org/10.1109/icdmw.2018.00114.

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Reports on the topic "Precipitation variability"

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Berry, Joseph, and Ari Kornfeld. Collaborative Research On Ecophysiological Controls On Amazonian Precipitation Seasonality And Variability. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1570388.

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Wehner, Michael, Mark Risser, Paul Ullrich, and Shiheng Duan. Exploring variability in seasonal average and extreme precipitation using unsupervised machine learning. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769708.

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Cavigelli, Michel. Mid-Atlantic Corn and Soybean Yields Show Great Variability in Response to Precipitation during Critical Growth Stages. USDA Northeast Climate Hub, 2018. http://dx.doi.org/10.32747/2018.6892663.ch.

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The mid-Atlantic coastal plain, where the FSP is located, has higher than average variability in corn and soybean yields compared to the most productive agricultural regions in the US. Precipitation is the primary driver of crop yield variability in this region and drought is often responsible for low yields.

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Williams, Christopher R. Using ARM-SGP Multi-Sensor Datasets to Investigate Precipitation Characteristics and Vertical Variability. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1569735.

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Lintner, Benjamin Richard. Collaborative Research on Ecophysiological Controls on Amazonian Precipitation Seasonality and Variability. Final Technical Report. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1499992.

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Jung-Eun, Lee. Final report for Collaborative Research on Ecophysiological Controls on Amazonian Precipitation Seasonality and Variability. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1431208.

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Johnson, David B. A Theoretical Framework for Examining Geographical Variability in the Microphysical Mechanisms of Precipitation Development. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada170317.

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Ramizo, Dorothea, Homer Pagkalinawan, and Maria Carina Tinio. The Economic Impact of Weather Shocks on a Cold-Climate Developing Economy: Evidence from Mongolia. Asian Development Bank, 2024. https://doi.org/10.22617/wps240564-2.

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This paper examines the different economic impacts of weather shocks in Mongolia across sectors and provinces. It highlights the importance of tailored policy responses that consider local climatic conditions and economic structures. The analysis finds that temperature increases in Mongolia negatively affect economic performance and the livestock sector, while increased precipitation positively influences provincial GDP and livestock at the provincial level. Recommendations include investing in infrastructure and agriculture practices that can withstand climate variability, identifying which s

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Ruosteenoja, Kimmo, Joona Hautala, and Mika Rantanen. Climate change in Finland, Germany, Uruguay and China: observed changes and future projections derived from CMIP6 global climate models. Finnish Meteorological Institute, 2024. https://doi.org/10.35614/isbn.9789523362017.

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This report examines recent past changes in mean temperature and precipitation and future climate projections in four areas where the UPM-Kymmene company operates: Finland, Germany, Uruguay and China. Observational changes over 1961–2023 are derived from the ERA5 reanalysis and future projections from CMIP6 global climate models. Three greenhouse gas scenarios are considered: the SSP1-2.6 scenario represents low, SSP2-4.5 medium and SSP5-8.5 very high future emissions. All projections are presented with respect to the period 1981--2010, and main focus is placed on the changes projected for the

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Lai, Chung-Chieng A. Coupled ocean-atmosphere model system for studies of interannual-to-decadal climate variability over the North Pacific Basin and precipitation over the Southwestern United States. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/534525.

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