Results 31 to 40 of about 971 (195)
This NetCDF4 dataset contains gridded rainfall estimates created from a blend of Global Satellite Mapping of Precipitation (GSMaP) satellite rainfall and Australian Gridded Climate Dataset (AGCD) rain gauge analysis data.
Chua, Zhi-Weng
core +1 more source
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
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
The distribution of meteorological stations in China is sparse and uneven, which can bring some difficulties for flood simulation of many small and medium-sized watersheds, where station-based precipitation information is usually insufficient.
CAO Meng +5 more
doaj +1 more source
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
doaj +1 more source
Kajian Validasi Data Global Satellite Mapping of Precipitation (GSMaP) di Bengkulu
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.
Jihad, Abdi; Badan Meteorologi, Klimatologi dan Geofisika Stasiun Geofisika Mata Ie Banda Aceh +3 more
core +1 more source
Tropical Rainfall Measuring Mission (TRMM) and its successor, Global Precipitation Measurement (GPM), have provided hydrologists with important precipitation data sources for hydrological applications in sparsely gauged or ungauged basins.
Fei Yuan +7 more
doaj +1 more source
APPLICABILITY OF GSMAP CORRECTION METHOD TO TYPHOON "MORAKOT" IN TAIWAN
Satellite-based rainfall data such as GSMaP are expected to be adapted to flood forecasting in ungauged basins since they can be obtained world-wide in near real-time for free. However, GSMaP is often underestimated comparing with ground gauged precipitation, which poses a problem in applying the product to flood management.
OZAWA, Go +3 more
openaire +2 more sources
Comparison Accuracy of CHIRPS, GSMaP V7, and GSMaP V8 Satellite Rainfall Estimation in Kalimantan
The application of satellite product rainfall estimates (SPREs) is growing in hydrometeorology due to limited rainfall measurement. This study aims to compare the accuracy of three SPRE, namely Climate Hazards Group InfraRed Precipitation with Station (CHIRPS), Global Satellite Mapping of Precipitation (GSMaP) Moving Vector with Kalman Filtering (GSMaP-
Joko Suryanto, Joko Krisbiyantoro
openaire +1 more source
The performance of the Global Satellite Mapping of Precipitation data Microwave-Infrared Combined Reanalysis Product (GSMaP RNL), version 6, was evaluated, using northern Vietnam as the test area. The Vietnam Gridded Precipitation (VnGP) Dataset was used
Masato I. Nodzu +3 more
doaj +1 more source

