Results 161 to 170 of about 1,251 (184)
American Journal of Climate Change, 2021 Being largely dependent on agriculture, the overall development and water resource management of Bangladesh are greatly influenced by the accurate estimation of precipitation. Different satellite derived precipitation products, covering a large area, are very useful for rainfall estimation.
Deepa Roy, Sharmin Banu
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Assessment of SM2RAIN-ASCAT and CMORPH satellite precipitation products over Maharlu Lake basin in Iran [PDF]
Water Science and Technology: Water Supply, 2020 AbstractIn recent years, the use of climatic databases and satellite products by researchers has become increasingly common in the field of climate modeling and research. These datasets play an important role in developing countries. This study evaluated two reanalyses, CMORPH and SM2RAIN-ASCAT over Maharlu Lake, a semi-arid region in Iran. The results
Hassan Ahmadi +2 more
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Atmospheric Research, 2021
Abstract The use of a high-resolution satellite-based precipitation product on a global-scale is attractive to hydrological applications. However, it should be systematically evaluated from various perspectives as the quality property is dependent on the geographical and topographical features of a region.
Jungho Kim, Heechan Han
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Abstract The use of a high-resolution satellite-based precipitation product on a global-scale is attractive to hydrological applications. However, it should be systematically evaluated from various perspectives as the quality property is dependent on the geographical and topographical features of a region.
Jungho Kim, Heechan Han
exaly +2 more sources
CPC MORPHING Technique (CMORPH)
2007IR data are available globally nearly everywhere nearly all the time. However, IR channels measure cloud top temperatures and those temperatures do not always correlate well with rainfall. In many instances the cold cloud shield in a precipitating complex may be several times larger than the areal coverage of the actual precipitating region, sometimes ...
Robert J. Joyce +3 more
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Accuracy analysis of IMERG and CMORPH precipitation data over North China
Climate Research, 2020Large-scale agricultural production in North China makes the study of precipitation in this area vital. The performance of the Integrated Merged Multisatellite Retrievals for the Global Precipitation Measurement (IMERG) and the Climate Prediction Center morphing technique (CMORPH) precipitation products for 2015 was evaluated against daily ...
L Shen, R Lin, L Lu, C Xu, Y Liu
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Accuracy of the CMORPH satellite-rainfall product over Lake Tana Basin in Eastern Africa [PDF]
Atmospheric Research, 2015 Abstract In this study, we assessed the accuracy of rainfall occurrence, amount and distribution over the Lake Tana basin in Ethiopia, Eastern Africa, as represented in the NOAA satellite-based Climate Prediction Center Morphing technique (CMORPH) rainfall product. This analysis is carried out at high spatial and temporal resolutions (8 × 8 km 2 and
Alemseged Tamiru Haile, Emad Habib
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CMORPH: A “Morphing” Approach for High Resolution Precipitation Product Generation
2009The CMORPH technique was developed to synergize the most desirable aspects of passive microwave (high quality) and infrared (spatial and temporal resolution) data. CMORPH is a global (in longitude; 60°N–60°S) high-resolution (∼0.10° latitude/longitude, 1/2-hourly) precipitation analysis technique that uses motion vectors derived from half-hourly ...
Robert J. Joyce +4 more
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Remote Sensing, 2019 The traditional station-based drought index is vulnerable because of the inadequate spatial distribution of the station, and also, it does not fully reflect large-scale, dynamic drought information.
Haibo Yang, Fei Wang, Zhenhong Li
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Evaluation and Intercomparison of High-Resolution Satellite Precipitation Estimates—GPM, TRMM, and CMORPH in the Tianshan Mountain Area [PDF]
Remote Sensing, 2018 With high resolution and wide coverage, satellite precipitation products like Global Precipitation Measurement (GPM) could support hydrological/ecological research in the Tianshan Mountains, where the spatial heterogeneity of precipitation is high, but where rain gauges are sparse and unevenly distributed.
Chi Zhang, Haoyang Du
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