Results 141 to 150 of about 339 (156)

Spatiotemporal Variations of Precipitation Over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset [PDF]

Remote Sensing, 2020
Spatiotemporal precipitation trend analysis provides valuable information for water management decision-making. Satellite-based precipitation products with high spatial and temporal resolution and long records, as opposed to temporally and spatially sparse rain gauge networks, are a suitable alternative to analyze precipitation trends over Iran.
Soroosh Sorooshian, Vesta Afzali Gorooh, Ata Akbari Asanjan   +2 more
exaly   +3 more sources

Performance Evaluation of the ERA5, MERRA-2, and PERSIANN-CDR Gridded Products in the Tambo Basin

Environmental and Earth Sciences Proceedings
Efrain Lujano
exaly   +2 more sources

Evaluation of PERSIANN-CDR Constructed Using GPCP V2.2 and V2.3 and a Comparison With TRMM 3B42 V7 and CPC Unified Gauge-Based Analysis in Global Scale [PDF]

Remote Sensing, 2019
Providing reliable long-term global precipitation records at high spatial and temporal resolutions is crucial for climatological studies. Satellite-based precipitation estimations are a promising alternative to rain gauges for providing homogeneous precipitation information.
Soroosh Sorooshian, Kuolin Hsu, Mohammad Faridzad   +2 more
exaly   +4 more sources

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Probabilistic drought forecasting using copula and satellite rainfall based PERSIANN‐CDR and MSWEP datasets

International Journal of Climatology, 2022
AbstractIn situ rainfall data plays a vital role in drought assessment. However, adequate in situ data are not available in many parts of the world, and they do not provide the proper spatial coverage for drought assessment. With the advacements in satellite rainfall estimates (SREs), it is possible to monitor droughts in ungauged basins.
Mohammadali Alijanian, Gholam Reza Rakhshandehroo, Maryam Dehghani, Ashok Mishra   +3 more
openaire   +1 more source

PERSIANN-CDR based characterization and trend analysis of annual rainfall in Rio De Janeiro State, Brazil

Atmospheric Research, 2020
Abstract Climate Data analysis has become a fundamental tool for scientists who seek to better evaluate changes in climatic variables worldwide. When it comes to rainfall there are many datasets publicly available, and orbital products have been gradually sharpening its results.
Bruno Serafini Sobral, José Francisco de Oliveira-Júnior, Fabiano Alecrim, Givanildo Gois, João Gualberto Muniz-Júnior, Paulo Miguel de Bodas Terassi, Edson Rodrigues Pereira-Júnior, Gustavo Bastos Lyra, Marcelo Zeri   +8 more
openaire   +1 more source

PERSIANN-CDR: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies

Bulletin of the American Meteorological Society, 2015
Abstract A new retrospective satellite-based precipitation dataset is constructed as a climate data record for hydrological and climate studies. Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR) provides daily and 0.25° rainfall estimates for the latitude band
Dan K. Braithwaite, Soroosh Sorooshian, Kuo-Lin Hsu, Hamed Ashouri, Kenneth R. Knapp, L. Dewayne Cecil, Brian R. Nelson, Olivier P. Prat   +7 more
openaire   +1 more source

Evaluation of the PERSIANN-CDR Daily Rainfall Estimates in Capturing the Behavior of Extreme Precipitation Events over China

Journal of Hydrometeorology, 2015
AbstractThis study evaluates the performance of a newly developed daily precipitation climate data record, called Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR), in capturing the behavior of daily extreme precipitation events in China during the period of 1983–2006 ...
Chiyuan Miao, Hamed Ashouri, Kuo-Lin Hsu, Soroosh Sorooshian, Qingyun Duan   +4 more
openaire   +1 more source

Evaluation of remotely sensed precipitation estimates using PERSIANN-CDR and MSWEP for spatio-temporal drought assessment over Iran

Journal of Hydrology, 2019
Abstract Satellite Rainfall Estimates (SREs) can provide rainfall information at finer spatial and temporal resolutions, however their performance varies with respect to gauged precipitation data in different climatic regions. A limited number of studies investigated the performance of SREs for spatio-temporal (regional) drought analysis, which is a ...
Mohammadali Alijanian, Gholam Reza Rakhshandehroo, Ashok Mishra, Maryam Dehghani   +3 more
openaire   +1 more source

Evaluation and hydrological application of precipitation estimates derived from PERSIANN‐CDR, TRMM 3B42V7, and NCEP‐CFSR over humid regions in China

Hydrological Processes, 2016
AbstractSatellite‐based and reanalysis quantitative precipitation estimates are attractive for hydrologic prediction or forecasting and reliable water resources management, especially for ungauged regions. This study evaluates three widely used global high‐resolution precipitation products [Precipitation Estimation from Remotely Sensed Information ...
Qian Zhu, Weidong Xuan, Li Liu, Yue‐Ping Xu   +3 more
openaire   +1 more source

Evaluating CHIRPS v3.0 and PERSIANN-CDR Against Ground Observations in Türkiye Using ETS, ARIMA and Naive Models

Assessing the accuracy of satellite-derived precipitation products against ground observations and evaluating their suitability as forecasting model inputs are increasingly critical priorities in water resource management. This study comparatively evaluates CHIRPS v3.0 and PERSIANN-CDR against General Directorate of Meteorology (GDM) ground ...
openaire   +1 more source