Results 31 to 40 of about 1,958 (257)
VERIFICATION OF HOURLY GSMAP RAINFALL ESTIMATES DURING THE FLOOD EVENTS IN KUMAMOTO PREFECTURE, JAPAN [PDF]
, 2013 Japan and other countries have been greatly damaged by floods in the past due to heavy rainfall. Flood forecasting using rainfall data observed by satellite is a welcome development.
Martiwi Diah Setiawati +2 more
openalex +2 more sources
Summertime evaluation of REFAME over the Unites States for near real-time high resolution precipitation estimation [PDF]
, 2012 Precipitation is the key input for hydrometeorological modeling and applications. In many regions of the world, including populated areas, ground-based measurement of precipitation (whether from radar or rain gauge) is either sparse in time and space or ...
Behrangi, A, Hsu, KL, Sorooshian, S
core +2 more sources
Geographical and seasonal characteristics of APHRODITE and GSMaP in Lao P.D.R [PDF]
IOP Conference Series: Earth and Environmental Science, 2021 Abstract Water-related hazards account for 90 percent of all-natural hazards, and their frequency is generally rising, in association with climate change. To combat climate change, real-time and gridded precipitation data is important, especially where no ground observation is operated.
H Kawai, M K Zaki, K Noda
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Comprehensive evaluation of high-resolution satellite-based precipitation products over China [PDF]
, 2015 Characterizing the errors in satellite-based precipitation estimation products is crucial for understanding their effects in hydrological applications. Six precipitation products derived from three algorithms are comprehensively evaluated against gauge ...
Bao, Anming +5 more
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Advances in Meteorology, 2016 Two versions of Global Satellite Mapping of Precipitation (GSMaP) products (GSMaP-V4 and GSMaP-V5) are validated both in a single grid scale and in contiguous China by comparing to gauge-based rainfall analysis dataset. GSMaP products can capture spatial
Zhuoqi Chen +3 more
doaj +1 more source
Applied Water Science, 2019 Satellite remote-sensing products with high spatial and time resolution are expected to provide alternative data sources for data-sparse regions. This study clarifies if the satellite–gauge product outperforms the satellite-only product by comparing ...
Hieu Thi Bui +2 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 This study aims to evaluate the performances of two latest released global precipitation measurement (GPM)-era satellite precipitation final run products (integrated merged multisatellite retrievals IMERG-V06B and Global Satellite Mapping of ...
Qiong Li +5 more
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Ensemble representation of uncertainty in Lagrangian satellite rainfall estimates [PDF]
, 2013 A new algorithm called Lagrangian Simulation (LSIM) has been developed that enables the interpolation uncertainty present in Lagrangian satellite rainfall algorithms such as the Climate Prediction Center (CPC) morphing technique (CMORPH) to be ...
Bellerby, T. J.
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Kajian Validasi Data Global Satellite Mapping of Precipitation (GSMaP) di Bengkulu [PDF]
Jurnal Fisika dan Aplikasinya, 2020 The rainfall observation data is hard then we need other option to obtain the data which is easier and more accurate. One of methods to obtain rainfall data is using remote sensing. GSMaP is one among products produces by remote sensing which is able to obtaining rainfall data using satellite.
Diana Cahaya Siregar +3 more
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LMODEL: A satellite precipitation methodology using cloud development modeling. Part I: Algorithm construction and calibration [PDF]
, 2009 The Lagrangian Model (LMODEL) is a new multisensor satellite rainfall monitoring methodology based on the use of a conceptual cloud-development model that is driven by geostationary satellite imagery and is locally updated using microwave-based rainfall ...
Bellerby, Tim +2 more
core +3 more sources