Results 1 to 10 of about 463,647 (203)

GloRESatE: A dataset for global rainfall erosivity derived from multi-source data [PDF]

Scientific Data
Numerous hydrological applications, such as soil erosion estimation, water resource management, and rain driven damage assessment, demand accurate and reliable rainfall erosivity data.
Subhankar Das, Manoj Kumar Jain, Vivek Gupta, Ryan P. McGehee, Shuiqing Yin, Carlos Rogerio de Mello, Mahmood Azari, Pasquale Borrelli, Panos Panagos   +8 more
doaj   +3 more sources

An integrated modeling approach for estimating monthly global rainfall erosivity [PDF]

Scientific Reports
Modeling monthly rainfall erosivity is vital to the optimization of measures to control soil erosion. Rain gauge data combined with satellite observations can aid in enhancing rainfall erosivity estimations.
Ayele A. Fenta, Atsushi Tsunekawa, Nigussie Haregeweyn, Hiroshi Yasuda, Mitsuru Tsubo, Pasquale Borrelli, Takayuki Kawai, Ashebir S. Belay, Kindiye Ebabu, Mulatu L. Berihun, Dagnenet Sultan, Tadesual A. Setargie, Abdelrazek Elnashar, Arfan Arshad, Panos Panagos   +14 more
doaj   +3 more sources

Exploring the possible role of satellite-based rainfall data in estimating inter- and intra-annual global rainfall erosivity [PDF]

Hydrology and Earth System Sciences, 2022
Despite recent developments in modeling global soil erosion by water, to date, no substantial progress has been made towards more dynamic inter- and intra-annual assessments.
N. Bezak, P. Borrelli, P. Borrelli, P. Panagos   +3 more
doaj   +2 more sources

Global rainfall erosivity database (GloREDa) and monthly R-factor data at 1 km spatial resolution. [PDF]

Data Brief, 2023
Here, we present and release the Global Rainfall Erosivity Database (GloREDa), a multi-source platform containing rainfall erosivity values for almost 4000 stations globally.
Panagos P, Hengl T, Wheeler I, Marcinkowski P, Rukeza MB, Yu B, Yang JE, Miao C, Chattopadhyay N, Sadeghi SH, Levi Y, Erpul G, Birkel C, Hoyos N, Oliveira PTS, Bonilla CA, Nel W, Al Dashti H, Bezak N, Van Oost K, Petan S, Fenta AA, Haregeweyn N, Pérez-Bidegain M, Liakos L, Ballabio C, Borrelli P.   +26 more
europepmc   +2 more sources

Radar remote sensing reveals potential underestimation of rainfall erosivity at the global scale. [PDF]

Sci Adv, 2023
Rainfall kinetic energy (RKE) constitutes one of the most critical factors that drive rainfall erosivity on surface soil. Direct measurements of RKE are limited, relying instead on the empirical relations between kinetic energy and rainfall intensity (KE-
Dai Q, Zhu J, Lv G, Kalin L, Yao Y, Zhang J, Han D.   +6 more
europepmc   +2 more sources

Rainfall erosivity and erosivity density through rainfall synthetic series for São Paulo State, Brazil: Assessment, regionalization and modeling

International Soil and Water Conservation Research, 2022
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 conservation.
David Bruno de Sousa Teixeira, Roberto Avelino Cecílio, João Paulo Bestete de Oliveira, Laura Thebit de Almeida, Gabrielle Ferreira Pires   +4 more
doaj   +2 more sources

Global rainfall erosivity assessment based on high-temporal resolution rainfall records

Scientific Reports, 2017
The exposure of the Earth’s surface to the energetic input of rainfall is one of the key factors controlling water erosion. While water erosion is identified as the most serious cause of soil degradation globally, global patterns of rainfall erosivity ...
Panos Panagos, Pasquale Borrelli, Katrin Meusburger, Bofu Yu, Andreas Klik, Kyoung Jae Lim, Jae E. Yang, Jinren Ni, Chiyuan Miao, Nabansu Chattopadhyay, Seyed Hamidreza Sadeghi, Zeinab Hazbavi, Mohsen Zabihi, Gennady A. Larionov, Sergey F. Krasnov, Andrey V. Gorobets, Yoav Levi, Gunay Erpul, Christian Birkel, Natalia Hoyos, Victoria Naipal, Paulo Tarso S. Oliveira, Carlos A. Bonilla, Mohamed Meddi, Werner Nel, Hassan Al Dashti, Martino Boni, Nazzareno Diodato, Kristof Van Oost, Mark Nearing, Cristiano Ballabio   +30 more
doaj   +2 more sources

Identifying monthly rainfall erosivity patterns using hourly rainfall data across India [PDF]

Scientific Reports
Rainfall erosivity is a key dynamic factor of water erosion estimation, with a significant spatial and temporal variation. This study presents a comprehensive analysis of the spatial patterns and monthly distribution of rainfall erosivity across India ...
Subhankar Das, Manoj Kumar Jain, Karl Auerswald, Carlos Rogerio de Mello, Peter Molnar   +4 more
doaj   +2 more sources

Spatiotemporal variation and tendency analysis on rainfall erosivity in the Loess Plateau of China

Hydrology Research, 2020
Rainfall erosivity is an important factor to be considered when predicting soil erosion. Precipitation data for 1971–2010 from 39 stations located in the Loess Plateau of China were collected to calculate the spatiotemporal variability of rainfall ...
Yongsheng Cui, Chengzhong Pan, Chunlei Liu, Mingjie Luo, Yahui Guo   +4 more
doaj   +2 more sources

Reconstruction of past rainfall erosivity and trend detection based on the REDES database and reanalysis rainfall

Journal of Hydrology, 2020
Rainfall erosivity is the driving force of soil erosion and it is characterized by a large variability in space and time. In order to obtain robust estimates of rainfall erosivity, long series of high-frequency rainfall data are needed, which are often ...
Cristiano Ballabio, Pasquale Borrelli, Matjaz Mikos   +2 more
exaly   +2 more sources