Results 41 to 50 of about 329 (157)

The PERSIANN family of global satellite precipitation data: a review and evaluation of products [PDF]

Hydrology and Earth System Sciences, 2018
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, P. Nguyen, M. Ombadi, S. Sorooshian, K. Hsu, K. Hsu, A. AghaKouchak, D. Braithwaite, H. Ashouri, A. R. Thorstensen   +9 more
doaj   +1 more source

Assessing the Efficacy of High-Resolution Satellite-Based PERSIANN-CDR Precipitation Product in Simulating Streamflow

Journal of Hydrometeorology, 2016
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, Phu Nguyen, Andrea Thorstensen, Kuo-lin Hsu, Soroosh Sorooshian, Dan Braithwaite   +5 more
openaire   +1 more source

Evaluation and Comparison of Satellite-Derived Estimates of Rainfall in the Diverse Climate and Terrain of Central and Northeastern Ethiopia

Remote Sensing, 2021
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, Birtukan Abebe Hirpa, Chul-Hee Lim, Woo-Kyun Lee   +3 more
doaj   +1 more source

Performance Assessment of Global-EO-Based Precipitation Products against Gridded Rainfall from the Indian Meteorological Department

Remote Sensing, 2023
Monitoring water resources globally is crucial for forecasting future geo-hydro disasters across the Earth. In the present study, an attempt was made to assess the functional dimensionality of multi-satellite precipitation products, retrieved from CHIRPS,
Nitesh Awasthi, Jayant Nath Tripathi, George P. Petropoulos, Dileep Kumar Gupta, Abhay Kumar Singh, Amar Kumar Kathwas   +5 more
doaj   +1 more source

Evaluation the Performance of Several Gridded Precipitation Products over the Highland Region of Yemen for Water Resources Management

Remote Sensing, 2020
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, Naeem Saddique, Uwe Spank, Solomon H. Gebrechorkos, Christian Bernhofer   +4 more
doaj   +1 more source

Evaluation of Satellite-Derived Products for the Daily Average and Extreme Rainfall in the Mearim River Drainage Basin (Maranhão, Brazil)

Remote Sensing, 2021
Satellite precipitation estimates are used as an alternative or as a supplement to the records of the in situ stations. Although some satellite precipitation products have reasonably consistent time series, they are often limited to specific geographic ...
Ana Carolina Freitas Xavier, Anderson Paulo Rudke, Edivaldo Afonso de Oliveira Serrão, Paulo Miguel de Bodas Terassi, Paulo Rógenes Monteiro Pontes   +4 more
doaj   +1 more source

Evaluation and comparison of precipitation estimates and hydrologic utility of CHIRPS, TRMM 3B42 V7 and PERSIANN-CDR products in various climate regimes

Atmospheric Research, 2022
Abstract Evaluation of satellite-based quantitative precipitation estimates (QPEs) with reliable and independent ground-based measurements is important for both product developers and users. Here, we present a comprehensive evaluation on 3 high-resolution QPEs, namely, the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS), the ...
Yuefen Zhang, Chuanhao Wu, Pat J.-F. Yeh, Jianzhu Li, Bill X. Hu, Ping Feng, Changhyun Jun   +6 more
openaire   +1 more source

Evaluation of Satellite Precipitation Products and Their Potential Influence on Hydrological Modeling over the Ganzi River Basin of the Tibetan Plateau

Advances in Meteorology, 2017
In the last few years, satellite-based precipitation datasets are believed to be a potential source for forcing inputs in driving hydrological models, which are important especially in complex terrain areas or ungauged basins where ground gauges are ...
Alaa Alden Alazzy, Haishen Lü, Rensheng Chen, Abubaker B. Ali, Yonghua Zhu, Jianbin Su   +5 more
doaj   +1 more source

Validation of ERA5‐Land Precipitation Data for Meteorological Drought Assessment in the Upper Vistula Basin, Central Europe

Meteorological Applications, Volume 33, Issue 3, May/June 2026.
The study evaluated the suitability of ERA5 Land for drought monitoring in the Upper Vistula Basin (Poland). In particular, meteorological drought expressed as Standardised Precipitation Index (SPI) has been analysed. As a result, the ERA5‐Land provided high accuracy for detecting short‐term droughts but underperformed in representing prolonged ...
Andrzej Wałęga, Alessandro Ceppi, Francesco Chiaravalloti, Alessandra De Marco, Krzysztof Kochanek, Dariusz Młyński, Tommaso Caloiero   +6 more
wiley   +1 more source

Long‐Term Precipitation Estimates Generated by a Downscaling‐Calibration Procedure Over the Tibetan Plateau From 1983 to 2015

Earth and Space Science, 2019
The World Meteorological Organization stipulates a minimum of 30 years of historical data is needed to obtain meaningful results in climatological research.
Z. Q. Ma, D. Ghent, X. Tan, K. He, H. Y. Li, X. Z. Han, Q. T. Huang, J. Peng   +7 more
doaj   +1 more source