Results 31 to 40 of about 339 (156)
This study evaluates the performance of five satellite precipitation products (SPPs) from the Precipitation Remotely Sensed Information using Artificial Neural Networks (PERSIANN) family for depicting precipitation changes in Taiwan over multiple ...
Wan-Ru Huang, Pin-Yi Liu, Jie Hsu
doaj +1 more source
Hydrological assessment of different satellite precipitation products in semi-arid basins in Morocco
In data-sparse regions and in developing countries such as Morocco, where flooding has serious socio-economic impacts, satellite-based precipitation products open new possibilities for monitoring and modelling water resources and floods. The objective of
El Mahdi El Khalki +4 more
doaj +1 more source
The validity of two reanalysis (ERA5 and MEERA2) and seven satellite-based (CHIRPS, IMERG, PERSIANN-CCS, PERSIANN-CDR, PERSIANN-PDIR, PERSIANN, and TRMM) precipitation products was assessed in relation to the observations of in situ weather stations ...
Muhammad Umer Nadeem +7 more
doaj +1 more source
Comparative Analysis of the Performance of Gridded Precipitation Products Over Iran [PDF]
Precipitation provides the most crucial input for hydrological modeling. Rainfall Estimation from rain gauges is the most common and traditional method have been used widely to measure rainfall at catchment scales.
Ali Gorjizadeh, Ali Moridi
doaj +1 more source
Small watersheds are ideal objects for studying the evolution of hydrological and water resources at small scales. Whether precipitation products can meet the runoff simulation of small watersheds is the main purpose of this study.
Kepeng Feng +5 more
doaj +1 more source
The PERSIANN family of global satellite precipitation data: a review and evaluation of products [PDF]
Over the past 2 decades, a wide range of studies have incorporated Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) products.
P. Nguyen +9 more
doaj +1 more source
Rainfall erosivity is an important indicator for quantitatively representing the erosive power of rainfall. This study expanded three satellite-based precipitation products (SPPs) for estimating and mapping rainfall erosivity in a subtropical basin in ...
Xianghu Li, Xuchun Ye, Chengyu Xu
doaj +1 more source
Understanding rainfall processes as the main driver of the hydrological cycle is important for formulating future water management strategies; however, rainfall data availability is challenging for countries such as Ethiopia.
Girma Berhe Adane +3 more
doaj +1 more source
AbstractThis study aims to investigate the performance of Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR) in a rainfall–runoff modeling application over the past three decades.
Hamed Ashouri +5 more
openaire +1 more source
Management of water resources under climate change is one of the most challenging tasks in many arid and semiarid regions. A major challenge in countries, such as Yemen, is the lack of sufficient and long-term climate data required to drive hydrological ...
Ali Hamoud AL-Falahi +4 more
doaj +1 more source

