[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 …

Forecasting precipitation based on teleconnections using machine learning approaches across different precipitation regimes

J Helali, M Nouri, M Mohammadi Ghaleni… - Environmental Earth …, 2023 - Springer
Precipitation forecasts are of high significance for different disciplines. In this study,
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 …

Cluster analysis of hourly rainfalls using storm indices in Peninsular Malaysia

MAA Bakar, NM Ariff, AA Jemain… - Journal of Hydrologic …, 2020 - ascelibrary.org
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 …

[HTML][HTML] Improvement of extreme value modeling for extreme rainfall using Large-scale climate modes and considering model uncertainty

H Kim, T Kim, JY Shin, JH Heo - Water, 2022 - mdpi.com
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 …

Regionalization of potential evapotranspiration using a modified region of influence

M Hasanzadeh Saray, SS Eslamian, B Klöve… - Theoretical and Applied …, 2020 - Springer
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) …

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 …

Regional classification of extreme droughts across Iran

F Fathian, Z Dehghan, MM Alee, B Vaheddoost… - Acta Geophysica, 2024 - Springer
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 …

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 …

[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 …