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 +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 +2 more
doaj +3 more sources
Perbandingan Pola Distribusi Hujan Terukur dan Hujan Satelit PERSIANN di DAS Progo
Jurnal Teknik Pengairan, 2022 Pola distribusi hujan sangat diperlukan dalam analisis transformasi hujan aliran khususnya untuk penentuan hidrograf banjir rancangan bangunan hidrolik.
Dimas Gustoro +2 more
doaj +2 more sources
Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model [PDF]
Hydrology and Earth System Sciences, 2019 In general, there are no long-term meteorological or hydrological data available for karst river basins. The lack of rainfall data is a great challenge that hinders the development of hydrological models. Quantitative precipitation estimates (QPEs) based
J. Li +7 more
doaj +4 more sources
The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data. [PDF]
Sci Data, 2019 Abstract The Center for Hydrometeorology and Remote Sensing (CHRS) has created the CHRS Data Portal to facilitate easy access to the three open data licensed satellite-based precipitation datasets generated by our Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) system: PERSIANN ...
Nguyen P +12 more
europepmc +7 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. This dataset (0.25°, daily), which covers over three decades of continuous observation beginning in 1983, is evaluated using ...
Katiraie-Boroujerdy, Pari-Sima +3 more
openaire +5 more sources
Intercomparison of PERSIANN-CDR and TRMM-3B42V7 precipitation estimates at monthly and daily time scales [PDF]
Atmospheric Research, 2017 Abstract 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 7 (TRMM-3B42V7) are evaluated over Iran using the Generalized Three-Cornered Hat (GTCH ...
Katiraie-Boroujerdy, Pari-Sima +3 more
openaire +5 more sources
PERSIANN-MSA: A Precipitation Estimation Method from Satellite-Based Multispectral Analysis [PDF]
Journal of Hydrometeorology, 2009 Abstract Visible and infrared data obtained from instruments onboard geostationary satellites have been extensively used for monitoring clouds and their evolution. The Advanced Baseline Imager (ABI) that will be launched onboard the Geostationary Operational Environmental Satellite-R (GOES-R) series in the near future will offer a larger
Behrangi, Ali +5 more
openaire +5 more sources
Evaluation of Precipitation Data using CHIRPS and PERSIANN Models (Case Study: Bandar Abbas) [PDF]
علوم آب و خاک, 2023 Access to large precipitation data with appropriate accuracy can play an effective role in irrigation planning and water resources management. Satellite images generate high, wide, cheap, and up-to-date data is a good way to estimate precipitation.
H. siasar, A. Salari
doaj +3 more sources
International Journal of Applied Earth Observations and Geoinformation, 2021 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 +3 more sources