[HTML][HTML] Rainfall erosivity and erosivity density through rainfall synthetic series for São Paulo State, Brazil: Assessment, regionalization and modeling
DB de Sousa Teixeira, RA Cecílio… - International Soil and …, 2022 - Elsevier
Rainfall is the main cause of erosion of Brazilian soils, which makes assessing the rainfall
erosivity factor (RE) and the erosivity density (ED) fundamental for soil and water …
erosivity factor (RE) and the erosivity density (ED) fundamental for soil and water …
Forecasting precipitation based on teleconnections using machine learning approaches across different precipitation regimes
Precipitation forecasts are of high significance for different disciplines. In this study,
precipitation was forecasted using a wide range of teleconnection signals across different …
precipitation was forecasted using a wide range of teleconnection signals across different …
Assessment, regionalization, and modeling rainfall erosivity over Brazil: Findings from a large national database
DB de Sousa Teixeira, RA Cecílio, MC Moreira… - Science of The Total …, 2023 - Elsevier
In this study, we used a large national database to assess the rainfall erosivity (RE) patterns
in time and space over the Brazilian territory. Thereby, RE and erosivity density (ED) values …
in time and space over the Brazilian territory. Thereby, RE and erosivity density (ED) values …
Cluster analysis of hourly rainfalls using storm indices in Peninsular Malaysia
Storm-event analysis (SEA) is a method of extracting information from rainfall data by
defining rainfall events as storm events. A profile-based model in SEA defines storm events …
defining rainfall events as storm events. A profile-based model in SEA defines storm events …
[HTML][HTML] Improvement of extreme value modeling for extreme rainfall using Large-scale climate modes and considering model uncertainty
Extreme value modeling for extreme rainfall is one of the most important processes in the
field of hydrology. For the improvement of extreme value modeling and its physical meaning …
field of hydrology. For the improvement of extreme value modeling and its physical meaning …
Regionalization of potential evapotranspiration using a modified region of influence
This study examined the effect of different attributes on regionalization of potential
evapotranspiration (ETp) in Urmia Lake Basin (ULB), Iran, using the region of influence (RoI) …
evapotranspiration (ETp) in Urmia Lake Basin (ULB), Iran, using the region of influence (RoI) …
基于降水特征的华西雨屏地理范围界定.
胡文斌, 乔雪, 陈科艺, 唐亚 - Mountain Research …, 2023 - search.ebscohost.com
华西雨屏位于四川盆地向青藏高原的过渡区域, 是中国西部年降水量的高值区之一,
具有重要的生态服务价值, 明确其地理范围有助于区域生态环境保护, 山区发展和灾害防治 …
具有重要的生态服务价值, 明确其地理范围有助于区域生态环境保护, 山区发展和灾害防治 …
Regional classification of extreme droughts across Iran
In arid and semi-arid regions like Iran, sustainable urban and agricultural development is
intimately intertwined with the severity, frequency, and duration of meteorological droughts …
intimately intertwined with the severity, frequency, and duration of meteorological droughts …
Rainfall trends and intensity-frequency-duration relationships in Sharjah City, UAE
AG Yilmaz, A Shanableh… - International …, 2020 - inderscienceonline.com
Trend analysis is important to understand effects of climate change and variability on
rainfalls. In this study, rainfall and heavy rainfall trend analysis were performed for Sharjah …
rainfalls. In this study, rainfall and heavy rainfall trend analysis were performed for Sharjah …
[PDF][PDF] Improvement of Extreme Value Modeling for Extreme Rainfall Using Large-Scale Climate Modes and Considering Model Uncertainty. Water 2022, 14, 478
H Kim, T Kim, JY Shin, JH Heo - 2022 - researchgate.net
Extreme value modeling for extreme rainfall is one of the most important processes in the
field of hydrology. For the improvement of extreme value modeling and its physical meaning …
field of hydrology. For the improvement of extreme value modeling and its physical meaning …