A Global High-Resolution Precipitation Climate Record: PERSIANN-CCS-CDR Version 2.0 [PDF]
PERSIANN-CCS-CDR is a global precipitation dataset with 0.04° spatial and 3 hourly temporal resolution starting from 1983. However, producing reliable information proved to be a challenging task, primarily due to inconsistencies in input data (e.g ...
Mohammad Bolboli Zadeh +5 more
doaj +5 more sources
Dissecting Performances of PERSIANN-CDR Precipitation Product Over Huai River Basin, China [PDF]
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.
Guojie Wang, Haishan Chen, Yang Zhou
exaly +5 more sources
Evaluating the Performance of PERSIANN and PERSIANN-CDR Satellite Products in Precipitation Estimation in Semi-Arid Region of Zagros [PDF]
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
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 +6 more sources
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 +4 more sources
Evaluation of Precipitation Data using CHIRPS and PERSIANN Models (Case Study: Bandar Abbas) [PDF]
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 +1 more source
The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data. [PDF]
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 +6 more sources
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.
Anas Al-Sharman
exaly +3 more sources
Evaluación de Productos de Precipitación Satelital sobre la Cuenca del Lago Titicaca [PDF]
Resumen Los productos de precipitación satelital (PPS), proporcionan una fuente alternativa para aplicaciones hidrometeorológicas principalmente en áreas donde los datos de precipitación son limitados.
Efrain Lujano +3 more
doaj +1 more source
Assessment of Precipitation Obtained from Gridded Data Bases in Southern Baluchestan Basin [PDF]
Precipitation is an important variable in hydrological studies. The high spatial and temporal variability of precipitation makes it difficult to monitor it with observations.
Mohsen Rezaei +3 more
doaj +1 more source

