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Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset [PDF]

open access: yesRemote Sensing, 2020
Spatiotemporal precipitation trend analysis provides valuable information for water management decision-making. Satellite-based precipitation products with high spatial and temporal resolution and long records, as opposed to temporally and spatially sparse rain gauge networks, are a suitable alternative to analyze precipitation trends over Iran.
Soroosh Sorooshian   +2 more
exaly   +4 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 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

PERSIANN-CDR: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies

Bulletin of the American Meteorological Society, 2015
Abstract A new retrospective satellite-based precipitation dataset is constructed as a climate data record for hydrological and climate studies. Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR) provides daily and 0.25° rainfall estimates for the latitude band
Kenneth R Knapp   +2 more
exaly   +2 more sources

Probabilistic drought forecasting using copula and satellite rainfall based PERSIANN‐CDR and MSWEP datasets

International Journal of Climatology, 2022
AbstractIn situ rainfall data plays a vital role in drought assessment. However, adequate in situ data are not available in many parts of the world, and they do not provide the proper spatial coverage for drought assessment. With the advacements in satellite rainfall estimates (SREs), it is possible to monitor droughts in ungauged basins.
Mohammadali Alijanian   +3 more
openaire   +1 more source

PERSIANN-CDR based characterization and trend analysis of annual rainfall in Rio De Janeiro State, Brazil

Atmospheric Research, 2020
Abstract Climate Data analysis has become a fundamental tool for scientists who seek to better evaluate changes in climatic variables worldwide. When it comes to rainfall there are many datasets publicly available, and orbital products have been gradually sharpening its results.
Bruno Serafini Sobral   +8 more
openaire   +1 more source

Evaluation of the PERSIANN-CDR Daily Rainfall Estimates in Capturing the Behavior of Extreme Precipitation Events over China

Journal of Hydrometeorology, 2015
AbstractThis study evaluates the performance of a newly developed daily precipitation climate data record, called Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR), in capturing the behavior of daily extreme precipitation events in China during the period of 1983–2006 ...
Chiyuan Miao   +4 more
openaire   +1 more source

Evaluation of remotely sensed precipitation estimates using PERSIANN-CDR and MSWEP for spatio-temporal drought assessment over Iran

Journal of Hydrology, 2019
Abstract Satellite Rainfall Estimates (SREs) can provide rainfall information at finer spatial and temporal resolutions, however their performance varies with respect to gauged precipitation data in different climatic regions. A limited number of studies investigated the performance of SREs for spatio-temporal (regional) drought analysis, which is a ...
Mohammadali Alijanian   +3 more
openaire   +1 more source

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