Results 11 to 20 of about 18,063 (261)
Enhancing Daily Rainfall Data Completeness Using Satellite Rainfall Estimates
Civil and Environmental EngineeringThe availability of complete daily rainfall data is crucial for various hydrological, climatological, and meteorological studies. However, observed data often suffer from gaps due to equipment failures or station relocations.
Andari Rafika +3 more
doaj +2 more sources
Flooding-Driven Greenhouse Gas Emissions From Global Upland Croplands. [PDF]
Adv Sci (Weinh)Temporary flooding of upland croplands releases nitrous oxide, carbon dioxide, and methane. Field measurements combined with a global literature synthesis yield a global estimate of 63.3 teragrams of carbon dioxide equivalent per year for diffusive emissions from flooded upland croplands.
Bi S +7 more
europepmc +2 more sources
Space-Time Modeling of Rainfall Rate for Satellite Networks [PDF]
IEEE Access, 2020 A new comprehensive space-time model for the characterization of point rainfall rate is presented. A detailed assessment of four key rain characteristics (probability of rain/no rain condition, first and second order lognormal statistics and, space and time correlation functions) with consideration of the impact of varying spatial-temporal integration ...
Guangguang Yang +4 more
openaire +4 more sources
Evaluation of Satellite Rainfall Estimates over the Chinese Mainland [PDF]
Remote Sensing, 2014 Benefiting from the high spatiotemporal resolution and near-global coverage, satellite-based precipitation products are applied in many research fields. However, the applications of these products may be limited due to lack of information on the uncertainties.
Qin, Yaxin +4 more
openaire +4 more sources
Evaluation of Satellite Based Rainfall Estimation
IOP Conference Series: Earth and Environmental Science, 2021 Abstract Rainfall is one major source of water supply needed for most human activities encompassing agricultural activities to heavy industries. Therefore, a reliable and up to date approach shall always be required to accurately quantify rainfall precipitation.
Z Mohamad, M Z A Bakar, M Norman
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Neural networks in satellite rainfall estimation [PDF]
Meteorological Applications, 2004 AbstractNeural networks (NNs) have been successfully used in the environmental sciences over the last two decades. However, only a few review papers have been published, most of which cover image processing, classification, prediction and geophysical retrieval in general, while neglecting rainfall estimation issues.
F. J. Tapiador +3 more
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ASM Science Journal, 2019 This paper presents a scientific review on how Malaysia has benefited from the high-resolution satellite rainfall since its first launch in 1998. As a tropical country in which the environment is highly characterised by rainfall dynamics, public domain ...
Mohd. Rizaludin Mahmud
doaj +1 more source
Evaluation of Satellite Precipitation Estimates over Australia
Remote Sensing, 2020 This study evaluates the U.S. National Oceanographic and Atmospheric Administration’s (NOAA) Climate Prediction Center morphing technique (CMORPH) and the Japan Aerospace Exploration Agency’s (JAXA) Global Satellite Mapping of Precipitation ...
Zhi-Weng Chua +2 more
doaj +1 more source
Impact of Radiance Data Assimilation on the Prediction of Heavy Rainfall in RMAPS: A Case Study
Remote Sensing, 2018 Herein, a case study on the impact of assimilating satellite radiance observation data into the rapid-refresh multi-scale analysis and prediction system (RMAPS) is presented.
Yanhui Xie +5 more
doaj +1 more source
Remote Sensing, 2022 Satellites offer a way of estimating rainfall away from rain gauges which can be utilised to overcome the limitations imposed by gauge density on traditional rain gauge analyses.
Zhi-Weng Chua +4 more
doaj +1 more source