Results 21 to 30 of about 830 (198)
Buletin Fisika, 2018 Limitations of observation data cause analysis and prediction of precipitation is difficult. One way to overcome such limitations is the use of satellite data such as GSMaP, but satellite data needs to be validated before use. This study aims to validate
Sanjaya Natadiredja +2 more
doaj +3 more sources
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
openaire +2 more sources
Integrative Genomics Reveals Causal Pleiotropy and Therapeutic Opportunities at the Interface of Acute Pancreatitis and Infection. [PDF]
J Hepatobiliary Pancreat SciABSTRACT Background Understanding the genetic links between acute pancreatitis (AP) and its infectious comorbidities is crucial for prognosis and therapy, yet remains underexplored. Methods We conducted a comprehensive post‐GWAS analysis using large‐scale summary statistics for AP and 16 infectious diseases. To pinpoint pleiotropic genes, we integrated
Zou B +6 more
europepmc +2 more sources
Precipitation Extremes Monitoring Using the Near-Real-Time GSMaP Product [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 A need to monitor precipitation extremes from space is widely recognized, especially for regions where ground-based observations are limited or unavailable. This article examines the usefulness of precipitation extremes monitoring using the Global Satellite Mapping of Precipitation (GSMaP) near-real-time product in the East Asia and Western Pacific ...
Tomoko Tashima +4 more
openaire +3 more sources
Evaluation of Global Satellite Mapping of Precipitation Project Daily Precipitation Estimates over the Chinese Mainland [PDF]
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 +2 more sources
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 +2 more sources
Remote Sensing, 2022 Extreme precipitation events have increasingly happened at global and regional scales as the global climate has changed in recent decades. Accurate quantitative precipitation estimation (QPE) plays an important role in the warning of extreme ...
Huiqin Zhu +4 more
doaj +2 more sources
Advances in Meteorology, 2017 The present study comprehensively analyzes error characteristics and performance of the two latest GPM-era satellite precipitation products over eastern China from April 2014 to March 2016.
Shaowei Ning +5 more
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Evaluation of GSMaP Version 8 Precipitation Products on an Hourly Timescale over Mainland China
Remote SensingA thorough evaluation of the recently released Global Satellite Mapping of Precipitation (GSMaP) is critical for both end-users and algorithm developers. In this study, six products from three versions of GSMaP version 8, including real time (NOW-R and NOW-C), near real time (NRT-R and NRT-C), and post-real time (MVK-R and MVK-C), are systematically ...
Xiaoyu Lv +5 more
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AtmosphereIn the summer of 2023, North China experienced a rare extreme precipitation storm due to Typhoons Doksuri and Khanun, leading to significant secondary disasters and highlighting the urgent need for accurate rainfall forecasting.
Zhi Li +5 more
doaj +2 more sources