Results 141 to 150 of about 329 (157)
Some of the next articles are maybe not open access.

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 ...
Mou Leong Tan, H Santo
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
Hamed Ashouri   +2 more
exaly   +2 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

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

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

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

Evaluation and hydrological application of precipitation estimates derived from PERSIANN‐CDR, TRMM 3B42V7, and NCEP‐CFSR over humid regions in China

Hydrological Processes, 2016
AbstractSatellite‐based and reanalysis quantitative precipitation estimates are attractive for hydrologic prediction or forecasting and reliable water resources management, especially for ungauged regions. This study evaluates three widely used global high‐resolution precipitation products [Precipitation Estimation from Remotely Sensed Information ...
Qian Zhu   +3 more
openaire   +1 more source

Evaluating CHIRPS v3.0 and PERSIANN-CDR Against Ground Observations in Türkiye Using ETS, ARIMA and Naive Models

Assessing the accuracy of satellite-derived precipitation products against ground observations and evaluating their suitability as forecasting model inputs are increasingly critical priorities in water resource management. This study comparatively evaluates CHIRPS v3.0 and PERSIANN-CDR against General Directorate of Meteorology (GDM) ground ...
openaire   +1 more source

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

International Journal of Climatology, 2022
Mohammadali Alijanian   +2 more
exaly  

Home - About - Disclaimer - Privacy