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Journal articles on the topic 'Precipitation variability'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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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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2

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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5

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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6

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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7

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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8

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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9

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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10

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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Kienzler, P. M., and F. Naef. "Temporal variability of subsurface stormflow formation." Hydrology and Earth System Sciences 12, no. 1 (2008): 257–65. http://dx.doi.org/10.5194/hess-12-257-2008.

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Abstract. Subsurface stormflow (SSF) can play a key role for the runoff generation at hillslopes. Quantifications of SSF suffer from the limited ability to predict how SSF is formed at a particular hillslope 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

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12

Sun, Bo, and Huijun Wang. "Interannual Variation of the Spring and Summer Precipitation over the Three River Source Region in China and the Associated Regimes." Journal of Climate 31, no. 18 (2018): 7441–57. http://dx.doi.org/10.1175/jcli-d-17-0680.1.

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This study analyzes the interannual and interdecadal variability of spring and summer precipitation over the Three River Source (TRS) region in China using four datasets. A general consistency is revealed among the four datasets with regard to the interannual and interdecadal variability of TRS precipitation during 1979–2015, demonstrating a confidence of the four datasets in representing the precipitation variability over the TRS region. The TRS spring and summer precipitation shows distinct interannual and interdecadal variability, with an overall increasing trend in the spring precipitation

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13

Petković, Veljko, Marko Orescanin, Pierre Kirstetter, Christian Kummerow, and Ralph Ferraro. "Enhancing PMW Satellite Precipitation Estimation: Detecting Convective Class." Journal of Atmospheric and Oceanic Technology 36, no. 12 (2019): 2349–63. http://dx.doi.org/10.1175/jtech-d-19-0008.1.

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AbstractA decades-long effort in observing precipitation from space has led to continuous improvements of satellite-derived passive microwave (PMW) large-scale precipitation products. However, due to a limited ability to relate observed radiometric signatures to precipitation type (convective and stratiform) and associated precipitation rate variability, PMW retrievals are prone to large systematic errors at instantaneous scales. The present study explores the use of deep learning approach in extracting the information content from PMW observation vectors to help identify precipitation types.

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14

Shiu, Janice, Sarah Fletcher, and Dara Entekhabi. "Spatiotemporal monsoon characteristics and maize yields in West Africa." Environmental Research Communications 3, no. 12 (2021): 125007. http://dx.doi.org/10.1088/2515-7620/ac3776.

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Abstract To assess the vulnerability of rainfed agriculture in West Africa (WA) to climate change, a detailed understanding of the relationship between food crop yields and seasonal rainfall characteristics is required. The highly seasonal rainfall in the region is expected to change characteristics such as seasonal timing, duration, intensity, and intermittency. The food crop yield response to changes in these characteristics needs greater understanding. We follow a data-driven approach based on historical yield and climate data. Such an approach complements model-based approaches. Previous d

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15

Maradin, Mladen. "Varijabilnost padalina u Hvaru i Crikvenici." Geoadria 13, no. 2 (2017): 133. http://dx.doi.org/10.15291/geoadria.561.

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The study analyses the precipitation variability in Hvar and Crikvenica in the period from 1931 to 1990. These stations have a maritime type of the annual course of precipitation. The minimum value of the precipitation variability in Hvar is in autumn, in November, while the secondary minimum of the variability is in spring, in April. The primary maximum of variability is in summer, most often in July, while the secondary maximum is in March. In Crikvenica the minimum values of the precipitation variability in April and November are even, and the same is true for the maximum values of the vari

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16

Dannenberg, Matthew P., Erika K. Wise, and William K. Smith. "Reduced tree growth in the semiarid United States due to asymmetric responses to intensifying precipitation extremes." Science Advances 5, no. 10 (2019): eaaw0667. http://dx.doi.org/10.1126/sciadv.aaw0667.

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Earth’s hydroclimatic variability is increasing, with changes in the frequency of extreme events that may negatively affect forest ecosystems. We examined possible consequences of changing precipitation variability using tree rings in the conterminous United States. While many growth records showed either little evidence of precipitation limitation or linear relationships to precipitation, growth of some species (particularly those in semiarid regions) responded asymmetrically to precipitation such that tree growth reductions during dry years were greater than, and not compensated by, increase

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17

He, Jie, Clara Deser, and Brian J. Soden. "Atmospheric and Oceanic Origins of Tropical Precipitation Variability." Journal of Climate 30, no. 9 (2017): 3197–217. http://dx.doi.org/10.1175/jcli-d-16-0714.1.

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The intrinsic atmospheric and ocean-induced tropical precipitation variability is studied using millennial control simulations with various degrees of ocean coupling. A comparison between the coupled simulation and the atmosphere-only simulation with climatological sea surface temperatures (SSTs) shows that a substantial amount of tropical precipitation variability is generated without oceanic influence. This intrinsic atmospheric variability features a red noise spectrum from daily to monthly time scales and a white noise spectrum beyond the monthly time scale. The oceanic impact is inappreci

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18

Fatichi, S., V. Yu Ivanov, and E. Caporali. "Investigating Interannual Variability of Precipitation at the Global Scale: Is There a Connection with Seasonality?" Journal of Climate 25, no. 16 (2012): 5512–23. http://dx.doi.org/10.1175/jcli-d-11-00356.1.

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Abstract Interannual variability of precipitation can directly or indirectly affect many hydrological, ecological, and biogeochemical processes that, in turn, influence climate. Despite the significant importance of the phenomenon, few studies have attempted to elucidate spatial patterns of this variability at the global scale. This study uses land gauge precipitation records of the Global Historical Climatology Network, version 2, as well as reanalysis data to provide an assessment of the spatial organization of characteristics of precipitation interannual variability. The coefficient of vari

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19

Zhang, Wenxia, Tianjun Zhou, and Peili Wu. "Anthropogenic amplification of precipitation variability over the past century." Science 385, no. 6707 (2024): 427–32. http://dx.doi.org/10.1126/science.adp0212.

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As the climate warms, the consequent moistening of the atmosphere increases extreme precipitation. Precipitation variability should also increase, producing larger wet-dry swings, but that is yet to be confirmed observationally. Here we show that precipitation variability has already grown globally (over 75% of land area) over the past century, as a result of accumulated anthropogenic warming. The increased variability is seen across daily to intraseasonal timescales, with daily variability increased by 1.2% per 10 years globally, and is particularly prominent over Europe, Australia, and easte

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20

Łupikasza, Ewa. "Long-Term Variability of Precipitation form in Hornsund (Spitsbergen) in Relation to Atmospheric Circulation (1979–2009)." Bulletin of Geography. Physical Geography Series 3, no. 1 (2010): 65–86. http://dx.doi.org/10.2478/bgeo-2010-0004.

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Abstract The paper discusses the impact of the atmospheric circulation on the long-term variability of liquid, mixed and solid precipitation. The three precipitation forms were characterised by their totals, the number of days when they prevailed, and the contribution of each to the overall precipitation totals. Trends, as a background to further analysis, were calculated with regard to each characteristic of each precipitation form. The most significant increases were recorded in the contribution of liquid precipitation to the overall precipitation totals in September and in the mixed precipi

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21

Lee, Dong Eun, Mingfang Ting, Nicolas Vigaud, Yochanan Kushnir, and Anthony G. Barnston. "Atlantic Multidecadal Variability as a Modulator of Precipitation Variability in the Southwest United States." Journal of Climate 31, no. 14 (2018): 5525–42. http://dx.doi.org/10.1175/jcli-d-17-0372.1.

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AbstractTwo independent atmospheric general circulation models reveal that the positive (negative) phase of Atlantic multidecadal variability (AMV) can reduce (amplify) the variance of the shorter time-scale (e.g., ENSO related) precipitation fluctuations in the United States, especially in the Southwest, as well as decrease (increase) the long-term seasonal mean precipitation for the cold season. The variance is modulated because of changes in 1) dry day frequency and 2) maximum daily rainfall intensity. With positive AMV forcing, the upper-level warming originating from the increased precipi

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22

Dong, Lu, L. Ruby Leung, Fengfei Song, and Jian Lu. "Roles of SST versus Internal Atmospheric Variability in Winter Extreme Precipitation Variability along the U.S. West Coast." Journal of Climate 31, no. 19 (2018): 8039–58. http://dx.doi.org/10.1175/jcli-d-18-0062.1.

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The U.S. West Coast exhibits large variability of extreme precipitation during the boreal winter season (December–February). Understanding the large-scale forcing of such variability is important for improving prediction. This motivates analyses of the roles of sea surface temperature (SST) forcing and internal atmospheric variability on extreme precipitation on the U.S. West Coast. Observations, reanalysis products, and an ensemble of Atmospheric Model Intercomparison Project (AMIP) experiments from phase 5 of the Coupled Model Intercomparison Project (CMIP5) are analyzed. It is found that SS

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23

Rossel, F., and J. Garbrecht. "Spatial variability and downscalling of precipitation." Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere 26, no. 11-12 (2001): 863–67. http://dx.doi.org/10.1016/s1464-1909(01)00098-3.

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24

Rajagopalan, B., and U. Lall. "Interannual variability in western US precipitation." Journal of Hydrology 210, no. 1-4 (1998): 51–67. http://dx.doi.org/10.1016/s0022-1694(98)00184-x.

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25

Persson, S., A. Aldahan, G. Possnert, V. Alfimov, and X. Hou. "129I Variability in precipitation over Europe." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 259, no. 1 (2007): 508–12. http://dx.doi.org/10.1016/j.nimb.2007.01.193.

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26

Cortesi, Nicola, José Carlos Gonzalez-Hidalgo, Michele Brunetti, and Martín de Luis. "Spatial variability of precipitation in Spain." Regional Environmental Change 14, no. 5 (2013): 1743–49. http://dx.doi.org/10.1007/s10113-012-0402-6.

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Scinocca, John F., and Norman A. McFarlane. "The Variability of Modeled Tropical Precipitation." Journal of the Atmospheric Sciences 61, no. 16 (2004): 1993–2015. http://dx.doi.org/10.1175/1520-0469(2004)061<1993:tvomtp>2.0.co;2.

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Ahmad, Iftikhar, Romana Ambreen, Zhaobo Sun, and Weitao Deng. "Winter-Spring Precipitation Variability in Pakistan." American Journal of Climate Change 04, no. 01 (2015): 115–39. http://dx.doi.org/10.4236/ajcc.2015.41010.

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29

Adeniyi, M. O. "Variability of daily precipitation over Nigeria." Meteorology and Atmospheric Physics 126, no. 3-4 (2014): 161–76. http://dx.doi.org/10.1007/s00703-014-0340-6.

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30

Álvarez-García, Francisco J., Pilar M. Lorente-Lorente, and María J. OrtizBevia. "Quasi-quadrennial variability in European precipitation." International Journal of Climatology 32, no. 9 (2011): 1295–309. http://dx.doi.org/10.1002/joc.2351.

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31

Maradin, Mladen, and Ivan Madžar. "Geographical Distribution of Precipitation Variability in Croatia and Bosnia and Herzegovina." Hrvatski geografski glasnik/Croatian Geographical Bulletin 76, no. 2 (2015): 5–26. http://dx.doi.org/10.21861/hgg.2014.76.02.01.

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32

Formetta, Giuseppe, Jonghun Kam, Sahar Sadeghi, Glenn Tootle, and Thomas Piechota. "Atlantic Ocean Variability and European Alps Winter Precipitation." Water 13, no. 23 (2021): 3377. http://dx.doi.org/10.3390/w13233377.

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Winter precipitation (snowpack) in the European Alps provides a critical source of freshwater to major river basins such as the Danube, Rhine, and Po. Previous research identified Atlantic Ocean variability and hydrologic responses in the European Alps. The research presented here evaluates Atlantic Sea Surface Temperatures (SSTs) and European Alps winter precipitation variability using Singular Value Decomposition. Regions in the north and mid-Atlantic from the SSTs were identified as being tele-connected with winter precipitation in the European Alps. Indices were generated for these Atlanti

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33

Jiang, Jie, Tianjun Zhou, Xiaolong Chen, and Bo Wu. "Central Asian Precipitation Shaped by the Tropical Pacific Decadal Variability and the Atlantic Multidecadal Variability." Journal of Climate 34, no. 18 (2021): 7541–53. http://dx.doi.org/10.1175/jcli-d-20-0905.1.

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AbstractKnown as one of the largest semiarid to arid regions in the world, central Asia and its economy and ecosystem are highly sensitivity to the changes in precipitation. The observed precipitation and related hydrographic characteristics have exhibited robust decadal variations in the past decades, but the reason remains unknown. Using the pacemaker experiments of the Community Earth System Model (CESM1.2), we find that the tropical Pacific decadal variability (TPDV) and the Atlantic multidecadal variability (AMV) are the main drivers of the interdecadal variations in central Asian precipi

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Miseker, G. Birega* Birhanu H. Abrha Zinabu M. Gebru. "TIME SERIES TREND ANALYSIS OF PRECIPITATION AND TEMPERATURE: THE CASE OF ARBA MINCH TOWN, SOUTHERN ETHIOPIA." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 2 (2017): 335–42. https://doi.org/10.5281/zenodo.290300.

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Long-term climate averages changes are the result of significant annual climate variability. This study aimed at analyzing trends and variability of Temperature and precipitation of Arba Minch Town, in Southern Ethiopia. Temperature and precipitation data were collected from Arba Minch meteorology station from 1987-2014 and 1982-2014, respectively. Summary descriptive statistics, regression analysis and Mann Kendall trend test method were used to analyze the long-term data. Regression analysis for the trends and Mann-Kendall rank statistic test were used for the examination of their significan

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He, Jie, Nathaniel C. Johnson, Gabriel A. Vecchi, Ben Kirtman, Andrew T. Wittenberg, and Stephan Sturm. "Precipitation Sensitivity to Local Variations in Tropical Sea Surface Temperature." Journal of Climate 31, no. 22 (2018): 9225–38. http://dx.doi.org/10.1175/jcli-d-18-0262.1.

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Abstract The driving of tropical precipitation by the variability of the underlying sea surface temperature (SST) plays a critical role in the atmospheric general circulation. To assess the precipitation sensitivity to SST variability, it is necessary to observe and understand the relationship between precipitation and SST. However, the precipitation–SST relationships from any coupled atmosphere–ocean system can be difficult to interpret given the challenge of disentangling the SST-forced atmospheric response and the atmospheric intrinsic variability. This study demonstrates that the two compo

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Borhara, Krishna, Binod Pokharel, Brennan Bean, Liping Deng, and S. Y. Simon Wang. "On Tanzania’s Precipitation Climatology, Variability, and Future Projection." Climate 8, no. 2 (2020): 34. http://dx.doi.org/10.3390/cli8020034.

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We investigate historical and projected precipitation in Tanzania using observational and climate model data. Precipitation in Tanzania is highly variable in both space and time due to topographical variations, coastal influences, and the presence of lakes. Annual and seasonal precipitation trend analyses from 1961 to 2016 show maximum rainfall decline in Tanzania during the long rainy season in the fall (March–May), and an increasing precipitation trend in northwestern Tanzania during the short rainy season in the spring (September–November). Empirical orthogonal function (EOF) analysis appli

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Mwale, Davison, Thian Yew Gan, Kevin Devito, Carl Mendoza, Uldis Silins, and Richard Petrone. "Precipitation variability and its relationship to hydrologic variability in Alberta." Hydrological Processes 23, no. 21 (2009): 3040–56. http://dx.doi.org/10.1002/hyp.7415.

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Fyke, Jeremy, Jan T. M. Lenaerts, and Hailong Wang. "Basin-scale heterogeneity in Antarctic precipitation and its impact on surface mass variability." Cryosphere 11, no. 6 (2017): 2595–609. http://dx.doi.org/10.5194/tc-11-2595-2017.

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Abstract. Annually averaged precipitation in the form of snow, the dominant term of the Antarctic Ice Sheet surface mass balance, displays large spatial and temporal variability. Here we present an analysis of spatial patterns of regional Antarctic precipitation variability and their impact on integrated Antarctic surface mass balance variability simulated as part of a preindustrial 1800-year global, fully coupled Community Earth System Model simulation. Correlation and composite analyses based on this output allow for a robust exploration of Antarctic precipitation variability. We identify st

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Miletić, Milan, and Jovana Vuletić. "Statistical analysis of the mean relative variability of monthly, seasonal and annual precipitation at the main synoptic stations in the South Morava sub-basin to the Korvingrad hydrological station." Zbornik radova - Geografski fakultet Univerziteta u Beogradu, no. 71 (2023): 79–90. http://dx.doi.org/10.5937/zrgfub2371079m.

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The aim of this work is to determine the variability of precipitation in the area of the sub-basin of the South Curve up to the hydrological station Korvingrad. Data from the synoptic stations Leskovac, Vranje and Kuršumlija for a period of 30 years (1991-2020) were used. The mean relative variability of monthly, seasonal and annual precipitation and their ten-year values were used to compare the results of all synoptic stations in the sub-basin. The results showed that the highest mean variability of precipitation in the studied period was recorded at the Vranje synoptic station (22.4%) and t

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Abatzoglou, John T. "Contribution of Cutoff Lows to Precipitation across the United States." Journal of Applied Meteorology and Climatology 55, no. 4 (2016): 893–99. http://dx.doi.org/10.1175/jamc-d-15-0255.1.

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AbstractA chronology of cutoff lows (COL) from 1979 to 2014 alongside daily precipitation observations across the conterminous United States was used to examine the contribution of COL to seasonal precipitation, extreme-precipitation events, and interannual precipitation variability. COL accounted for between 2% and 32% of annual precipitation at stations across the United States, with distinct geographic and seasonal variability. The largest fractional contribution of COL to precipitation totals and precipitation extremes was found across the Great Plains and the interior western United State

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Hlalele, Bernard Moeketsi, and Jabulani Makhubele. "PRECIPITATION VARIABILITY DETERMINANTS IN THE HIGHLANDS OF LESOTHO." Water Conservation & Management 8, no. 4 (2024): 402–7. https://doi.org/10.26480/wcm.04.2024.402.407.

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The Southern Oscillation Index (SOI) and Sunspot Numbers (SSN) have long been recognized as key indicators of precipitation variability in various regions across the world. Understanding the influence of SOI and SSN on precipitation is crucial for effective water resource management, particularly in areas dependent on rainfall for their water supply. This study aimed at examining influences of SOI and SSN on precipitation variability in the highlands of Lesotho, a region that is particularly a source of country’s income and hydro energy. Key findings of this study showed a wide range of variab

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Wang, Weile, Bruce T. Anderson, Dara Entekhabi, et al. "Feedbacks of Vegetation on Summertime Climate Variability over the North American Grasslands. Part II: A Coupled Stochastic Model." Earth Interactions 10, no. 16 (2006): 1–30. http://dx.doi.org/10.1175/ei197.1.

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Abstract A coupled linear model is derived to describe interactions between anomalous precipitation and vegetation over the North American Grasslands. The model is based on biohydrological characteristics in the semiarid environment and has components to describe the water-related vegetation variability, the long-term balance of soil moisture, and the local soil–moisture–precipitation feedbacks. Analyses show that the model captures the observed vegetation dynamics and characteristics of precipitation variability during summer over the region of interest. It demonstrates that vegetation has a

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Maradin, Mladen. "Varijabilnost padalina u Osijeku." Hrvatski geografski glasnik/Croatian Geographical Bulletin 69, no. 02 (2008): 53–77. http://dx.doi.org/10.21861/hgg.2007.69.02.04.

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Zhong, Yafang, Zhengyu Liu, and Michael Notaro. "A GEFA Assessment of Observed Global Ocean Influence on U.S. Precipitation Variability: Attribution to Regional SST Variability Modes." Journal of Climate 24, no. 3 (2011): 693–707. http://dx.doi.org/10.1175/2010jcli3663.1.

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Abstract This paper presents a comprehensive assessment of the observed influence of the global ocean on U.S. precipitation variability using the method of Generalized Equilibrium Feedback Assessment (GEFA), which enables an unambiguous attribution of the influence from multiple ocean basins within a unified framework. The GEFA assessment based on observations for 1950–99 suggests that the tropical Pacific SST variability has the greatest consequence for U.S. precipitation, as both ENSO and meridional modes are associated with notable responses in seasonal mean precipitation. The anomalously c

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Saidi, H., M. Ciampittiello, C. Dresti, and G. Ghiglieri. "Observed variability and trends in extreme rainfall indices and Peaks-Over-Threshold series." Hydrology and Earth System Sciences Discussions 10, no. 5 (2013): 6049–79. http://dx.doi.org/10.5194/hessd-10-6049-2013.

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Abstract. Intensification of heavy precipitation as discussed in climate change studies has become a public concern, but it has not yet been examined well with observed data, particularly with data at short temporal scale like hourly and sub-hourly data. In this research we digitalized sub-hourly precipitation recorded at the stations of Vercelli (since 1927), Bra (since 1933), Lombriasco (since 1939) and Pallanza (since 1950) in order to investigate historical change in extreme short precipitations. These stations are located in the northwest of Italy. Besides seasonal and yearly maximum of p

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Gherardi, Laureano A., and Osvaldo E. Sala. "Enhanced precipitation variability decreases grass- and increases shrub-productivity." Proceedings of the National Academy of Sciences 112, no. 41 (2015): 12735–40. http://dx.doi.org/10.1073/pnas.1506433112.

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Although projections of precipitation change indicate increases in variability, most studies of impacts of climate change on ecosystems focused on effects of changes in amount of precipitation, overlooking precipitation variability effects, especially at the interannual scale. Here, we present results from a 6-y field experiment, where we applied sequences of wet and dry years, increasing interannual precipitation coefficient of variation while maintaining a precipitation amount constant. Increased precipitation variability significantly reduced ecosystem primary production. Dominant plant-fun

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Tan, Jackson, and Lazaros Oreopoulos. "Subgrid Precipitation Properties of Mesoscale Atmospheric Systems Represented by MODIS Cloud Regimes." Journal of Climate 32, no. 6 (2019): 1797–812. http://dx.doi.org/10.1175/jcli-d-18-0570.1.

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Abstract The distribution of mesoscale precipitation exhibits diverse patterns: precipitation can be intense but sporadic, or it can be light but widespread. This range of behaviors is a reflection of the different weather systems in the global atmosphere. Using MODIS global cloud regimes as proxies for different atmospheric systems, this study investigates the subgrid precipitation properties within these systems. Taking advantage of the high resolution of Integrated Multisatellite Retrievals for GPM (IMERG; GPM is the Global Precipitation Measurement mission), precipitation values at 0.1° ar

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Luffman, Ingrid, and Arpita Nandi. "Seasonal Precipitation Variability and Gully Erosion in Southeastern USA." Water 12, no. 4 (2020): 925. http://dx.doi.org/10.3390/w12040925.

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This study examines the relationship between gully erosion in channels, sidewalls, and interfluves, and precipitation parameters (duration, total accumulation, average intensity, and maximum intensity) annually and seasonally to determine seasonal drivers for precipitation-related erosion. Ordinary Least Square regression models of erosion using precipitation and antecedent precipitation at weekly lags of up to twelve weeks were developed for three erosion variables for each of three geomorphic areas: channels, interfluves, and sidewalls (nine models in total). Erosion was most pronounced in w

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Bintanja, R., K. van der Wiel, E. C. van der Linden, et al. "Strong future increases in Arctic precipitation variability linked to poleward moisture transport." Science Advances 6, no. 7 (2020): eaax6869. http://dx.doi.org/10.1126/sciadv.aax6869.

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The Arctic region is projected to experience amplified warming as well as strongly increasing precipitation rates. Equally important to trends in the mean climate are changes in interannual variability, but changes in precipitation fluctuations are highly uncertain and the associated processes are unknown. Here, we use various state-of-the-art global climate model simulations to show that interannual variability of Arctic precipitation will likely increase markedly (up to 40% over the 21st century), especially in summer. This can be attributed to increased poleward atmospheric moisture transpo

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Trammell, James H., Xun Jiang, Liming Li, et al. "Temporal and Spatial Variability of Precipitation from Observations and Models*." Journal of Climate 29, no. 7 (2016): 2543–55. http://dx.doi.org/10.1175/jcli-d-15-0325.1.

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Abstract Principal component analysis (PCA) is utilized to explore the temporal and spatial variability of precipitation from GPCP and a CAM5 simulation from 1979 to 2010. In the tropical region, the interannual variability of tropical precipitation is characterized by two dominant modes (El Niño and El Niño Modoki). The first and second modes of tropical GPCP precipitation capture 31.9% and 15.6% of the total variance, respectively. The first mode has positive precipitation anomalies over the western Pacific and negative precipitation anomalies over the central and eastern Pacific. The second

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