Results 131 to 140 of about 339 (156)

Precipitation Biases in CMIP5 Models over the South Asian Region. [PDF]

open access: yesSci Rep, 2019
Pathak R, Sahany S, Mishra SK, Dash SK.
europepmc   +1 more source

Spatiotemporal Error in Rainfall Data: Consequences for Epidemiologic Analysis of Waterborne Diseases. [PDF]

open access: yesAm J Epidemiol, 2019
Levy MC   +6 more
europepmc   +1 more source

Monitoring Rainfall Patterns in the Southern Amazon With PERSIANN-CDR Data: Long-Term Characteristics and Trends [PDF]

open access: yesRemote Sensing, 2017
Satellite-derived estimates of precipitation are essential to compensate for missing rainfall measurements in regions where the homogeneous and continuous monitoring of rainfall remains challenging due to low density rain gauge networks. The Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks—Climate Data Record ...
Véronique Michot   +2 more
exaly   +6 more sources
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Development of Bias-Correction PERSIANN-CDR Models for the Simulation and Completion of Precipitation Time Series

Atmospheric Environment, 2021
Abstract The availability of continuous long-term precipitation time series with uniform spatial distribution has a significant role in hydrological studies and applications from simple water budget calculation to infrastructure design. However, in numerous parts of the world precipitation observations are sparse, patchy and uneven and hence ...
Nozar Samani
exaly   +2 more sources

Geospatial Drought Severity Analysis Based on PERSIANN-CDR-Estimated Rainfall Data for Odisha State in India (1983–2018)

Science of the Total Environment, 2021
Studying the behavior of drought and its short-, medium- and long-term features throughout a region is very important for the creation of adequate public policies and actions aimed at the economic and social development of the region. Furthermore, the frequency and intensity of weather-related natural hazards (rainfall, heatwaves and droughts) are ...
Thiago Víctor Medeiros do Nascimento   +2 more
exaly   +3 more sources

PERSIANN-CDR for Hydrology and Hydro-climatic Applications

2020
Satellite-retrieved precipitation datasets represent a promising input data source to be utilized in hydroclimatic and hydrologic applications. Due to their characteristics of high spatiotemporal resolution, near real-time availability and quasi global coverage, satellite-retrieved precipitation datasets promise to provide a remedy for the long ...
Phu Nguyen   +5 more
openaire   +1 more source

Comparison of GPM IMERG, TMPA 3B42 and PERSIANN-CDR Satellite Precipitation Products Over Malaysia

Atmospheric Research, 2018
Abstract The launch of the Global Precipitation Measurement (GPM) mission has prompted the assessment of the newly released satellite precipitation products (SPPs) in different parts of the world. This study performed an initial comparison of three GPM IMERG products (IMERG_E, IMERG_L and IMERG_F) with its predecessor, the TMPA 3B42 and 3B42RT ...
Harrif Santo, Mou Leong Tan
exaly   +2 more sources

Assessment of PERSIANN-CCS, PERSIANN-CDR, SM2RAIN-ASCAT, and CHIRPS-2.0 Rainfall Products Over a Semi-Arid Subtropical Climatic Region [PDF]

open access: yesWater (Switzerland), 2022
This study compares the performance of four satellite-based rainfall products (SRPs) (PERSIANN-CCS, PERSIANN-CDR, SM2RAIN-ASCAT, and CHIRPS-2.0) in a semi-arid subtropical region. As a case study, Punjab Province of Pakistan was considered for this assessment.
Megersa Kebede Leta   +1 more
exaly   +2 more sources

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