Results 11 to 20 of about 1,203 (197)

Dissecting Performances of PERSIANN-CDR Precipitation Product over Huai River Basin, China [PDF]

Remote Sensing, 2019
Satellite-based precipitation products, especially those with high temporal and spatial resolution, constitute a potential alternative to sparse rain gauge networks for multidisciplinary research and applications.
Shanlei Sun, Shujia Zhou, Huayu Shen, Rongfan Chai, Haishan Chen, Yibo Liu, Wanrong Shi, Jia Wang, Guojie Wang, Yang Zhou   +9 more
doaj   +4 more sources

Evaluating the Performance of PERSIANN and PERSIANN-CDR Satellite Products in Precipitation Estimation in Semi-Arid Region of Zagros [PDF]

مدیریت بیابان, 2020
Rainfall is one of the most important environmental factors affecting the density and canopy cover percentage of plant species, erosion, and natural hazard status and its measurement is important for achieving appropriate water management.
Leila Ghorbani, Reza Jafari, Hossein Bashari   +2 more
doaj   +3 more sources

Trends of precipitation extreme indices over a subtropical semi-arid area using PERSIANN-CDR [PDF]

Theoretical and Applied Climatology, 2016
In this study, satellite-based daily precipitation estimation data from precipitation estimation from remotely sensed information using artificial neural networks (PERSIANN)-climate data record (CDR) are being evaluated in Iran.
Ashouri, H, Hsu, KL, Katiraie-Boroujerdy, PS, Sorooshian, S   +3 more
core   +4 more sources

Intercomparison of PERSIANN-CDR and TRMM-3B42V7 precipitation estimates at monthly and daily time scales [PDF]

Atmospheric Research, 2017
In the first part of this paper, monthly precipitation data from Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR) and Tropical Rainfall Measuring Mission 3B42 algorithm Version ...
Akbari Asanjan, A, Hsu, KL, Katiraie-Boroujerdy, PS, Sorooshian, S   +3 more
core   +4 more sources

A COMPARISON OF SIMULATED RUNOFF BASED ON GROUND RAIN GAUGES AND PERSIANN-CDR SATELLITE PRECIPITATION RECORDS USING SWAT MODEL [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Easy access to valid climatic data has always played a fundamental role in progressing hydrological studies. That is why numerous satellite-based precipitation products (SPPs) have been generated in the contemporary era.
A. Barezaei, J. Jalali
doaj   +3 more sources

Evaluation of satellite rainfall estimates using PERSIANN-CDR and TRMM over three critical cells in Jordan

Journal of Hydroinformatics
Effective management of water resources is heavily dependent on accurate knowledge of rainfall patterns. Satellite rainfall estimates (SREs) have become increasingly popular due to their ability to provide spatial rainfall data.
Mohanned Al-Sheriadeh, Anas Riyad Al-Sharman   +1 more
doaj   +2 more sources

Assessment of satellite precipitation products at different time scales over a cyclone prone coastal river basin in India [PDF]

Journal of Water and Climate Change, 2023
Precipitation is a fundamental input for many hydrological and water management studies. With the advancement in science, a variety of satellite precipitation products are available.
Sridhara Setti, Karisma Yumnam, Maheswaran Rathinasamy, Ankit Agarwal   +3 more
doaj   +4 more sources

Evaluation of the Performance and Utility of Global Gridded Precipitation Products for Health Applications and Impact Assessments in South America. [PDF]

Geohealth
Abstract Globally gridded precipitation products (GGPPs) are commonly used in impact assessments as substitutes for weather station data, each with unique strengths and limitations. Reanalysis products are among the most widely used for driving impact models, evaluating climate models, or bias‐correcting and downscaling model outputs to generate ...
Jahn S, Gaythorpe KAM, Wainwright CM, Ferguson NM.   +3 more
europepmc   +2 more sources

The Application of PERSIANN Family Datasets for Hydrological Modeling

Remote Sensing, 2022
This study investigates the application of precipitation estimation from remote sensing information using artificial neural networks (PERSIANN) for hydrological modeling over the Russian River catchment in California in the United States as a case study.
Hossein Salehi, Mojtaba Sadeghi, Saeed Golian, Phu Nguyen, Conor Murphy, Soroosh Sorooshian   +5 more
doaj   +1 more source

Comprehensive Analysis of PERSIANN Products in Studying the Precipitation Variations over Luzon

Remote Sensing, 2022
This study evaluated the capability of satellite precipitation estimates from five products derived from Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (including PERSIANN, PERSIANN-CCS, PERSIANN-CDR, PERSIANN ...
Jie Hsu, Wan-Ru Huang, Pin-Yi Liu
doaj   +1 more source