Trends of precipitation extreme indices over a subtropical semi-arid area using PERSIANN-CDR [PDF]
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.
Katiraie-Boroujerdy, Pari-Sima +3 more
core +5 more sources
Intercomparison of PERSIANN-CDR and TRMM-3B42V7 precipitation estimates at monthly and daily time scales [PDF]
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 ...
Ata Akbari Asanjan +7 more
core +5 more sources
Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model [PDF]
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 +3 more sources
Error Analysis on PERSIANN Precipitation Estimations: Case Study of Urmia Lake Basin, Iran
In-depth evaluation and analysis of the error properties associated with satellite-based precipitation estimation algorithms can play an important role in the future development and improvements of these products.
P. Daneshkar Arasteh +7 more
core +2 more sources
Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau [PDF]
On the Tibetan Plateau, the limited ground-based rainfall information owing to a harsh environment has brought great challenges to hydrological studies. Satellite-based rainfall products, which allow for a better coverage than both radar network and rain
X. Liu +4 more
doaj +3 more sources
Statistical Evaluation and Trend Analysis of ANN Based Satellite Products (PERSIANN) for the Kelani River Basin, Sri Lanka [PDF]
Satellite-based precipitation products, (SbPPs) have piqued the interest of a number of researchers as a reliable replacement for observed rainfall data which often have limited time spans and missing days.
Helani Perera +4 more
doaj +2 more sources
Performance Evaluation of the ERA5, MERRA-2, and PERSIANN-CDR Gridded Products in the Tambo Basin
Gridded meteorological data help to address the scarcity of data in sparse hydrometeorological networks, but their validation is crucial. This study evaluated the performance of ERA5, MERRA-2, and PERSIANN-CDR gridded products in the Tambo basin ...
Cristhian Apaza-Vilca +2 more
core +2 more sources
Padrões de precipitação no Sul da Amazônia baseado no PERSIANN-CDR: Características e tendências
International audiencePrecipitation is a key climatic parameter for many anthropogenic activities, especially agriculture. Yet, its homogeneous and continuous monitoring remains challenging.
Funatsu, Beatriz M. +3 more
core +8 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

