Results 151 to 160 of about 1,251 (184)

Spatio-temporal characterization of drought variability in data-scarce regions using global precipitation data: a case study in Cauto river basin, Cuba. [PDF]

Sci Rep
Tran AP, Tran BC, Campbell SB, Nguyen NA, Tran DH, Nguyen TT, Nguyen AD, Duong HS.   +7 more
europepmc   +1 more source

Review of "Performance of bias correction schemes for CMORPH rainfall estimates in the Zambezi River Basin"

, 2017
openaire   +1 more source

High-resolution climate models improve simulation of monsoon rainfall changes in the Ganga-Brahmaputra-Meghna basin. [PDF]

Clim Dyn
Ali H, Fowler HJ, Turner AG.
europepmc   +1 more source

The reliability of satellite precipitation estimates during tropical cyclone Shaheen. [PDF]

Sci Rep
Al Mawali B, Ibrahim A, Al Yahyai S, Ali I.   +3 more
europepmc   +1 more source

Distribution patterns of the two genetic groups of <i>Corbicula fluminea</i> in a lotic-lentic system. [PDF]

Ecol Evol
Jia M, Cheng F, Li J, Schmidt BV, Li Y, Xie S.   +5 more
europepmc   +1 more source

Hydrologic evaluation of bias corrected CMORPH rainfall estimates at the Zambezi River headwater catchment

, 2016
Gumindoga, W., Rientjes, T.H.M., Reggiani, P., Makurira, A.T., Haile, A.T.   +4 more
openaire   +1 more source

Bias correction of the rainfall CMORPH satellite product using observed data from Bogotá, Colombia

, 2016
Baez Villanueva, O.M., Giraldo Osorio, J.D., González Ortiz, L.A., Roehrig, J.   +3 more
openaire   +1 more source

Performance of the CMORPH and GPM IMERG Products over the United Arab Emirates [PDF]

Remote Sensing, 2020
Satellite-based precipitation products are becoming available at very high temporal and spatial resolutions, which has accelerated their use in various hydro-meteorological and hydro-climatological applications. Because the quantitative accuracy of such products is affected by numerous factors related to atmospheric and terrain properties, validating ...
Khalid Hussein, Hatim Sharif, Dawit Ghebreyesus   +2 more
exaly   +6 more sources

Fitness Evaluation of CMORPH Satellite-derived Precipitation Data in KOREA [PDF]

Journal of Wetlands Research, 2013
This study analyzes the application possibilities of the satellite-derived precipitation to water resources field. Precipitation observed by ground gauges and climate prediction center morphing method (CMORPH) which is global scale precipitation estimated by National Oceanic and Atmospheric Administration Climate Prediction Center (NOAA CPC) using ...
Kyung Tak Kim
exaly   +2 more sources

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Monitoring Heavy Precipitation with the Cmorph Integrated Satellite Precipitation Estimates

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
This paper describes the development, evaluation, and applications of the CMORPH satellite global precipitation estimates.
Pingping Xie, Robert Joyce, Shaorong Wu, Li Ren, Bert Katz   +4 more
openaire   +2 more sources