Evaluating Downscaling Factors of Microwave Satellite Soil Moisture Based on Machine Learning Method
Remote Sensing, 2021 Downscaling microwave remotely sensed soil moisture (SM) is an effective way to obtain spatial continuous SM with fine resolution for hydrological and agricultural applications on a regional scale.
Hao Sun, Yajing Cui
doaj +1 more source
Simulations of the Holocene climate in Europe using an interactive downscaling within the iLOVECLIM model (version 1.1) [PDF]
Climate of the Past, 2023 This study presents the application of an interactive downscaling in Europe using iLOVECLIM (a model of intermediate complexity), increasing its atmospheric resolution from 5.56 to 0.25∘ kilometric.
F. Arthur +5 more
doaj +1 more source
Towards an Accurate and Reliable Downscaling Scheme for High-Spatial-Resolution Precipitation Data
Remote Sensing, 2023 Accurate high-spatial-resolution precipitation is significantly important in hydrological and meteorological modelling, especially in rain-gauge-sparse areas.
Honglin Zhu +3 more
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Output Domain Downscaler [PDF]
, 2016 This paper offers an area-efficient video downscaler hardware architecture, which we call Output Domain Downscaler (ODD). ODD is demonstrated through an implementation of the bilinear interpolation method combined with Edge Detection and Sharpening Spatial Filter.
Mert Büyükmihçi +8 more
openaire +2 more sources
Efficient dynamical downscaling of general circulation models using continuous data assimilation [PDF]
, 2019 Continuous data assimilation (CDA) is successfully implemented for the first time for efficient dynamical downscaling of a global atmospheric reanalysis.
Biswas A. +10 more
core +2 more sources
A wind field downscaling strategy based on domain segmentation and transfer functions [PDF]
, 2018 This paper presents a novel methodology for mesoscale‐to‐microscale downscaling of near‐surface wind fields. The model chain consists on the Weather Research and Forecast mesoscale model and the Alya‐CFDWind microscale model (assuming neutral stability).
Avila, Matias +2 more
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Technical Note: The impact of spatial scale in bias correction of climate model output for hydrologic impact studies [PDF]
, 2016 Statistical downscaling is a commonly used technique for translating large-scale climate model output to a scale appropriate for assessing impacts. To ensure downscaled meteorology can be used in climate impact studies, downscaling must correct biases in
Ficklin, Darren L. +2 more
core +3 more sources
Advances in Meteorology, 2017 Various downscaling approaches have been developed to overcome the limitation of the coarse spatial resolution of general circulation models (GCMs). Such techniques can be grouped into two approaches of dynamical and statistical downscaling.
Yoo-Bin Yhang, Soo-Jin Sohn, Il-Won Jung
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GEOSTATISTICAL SOLUTIONS FOR DOWNSCALING REMOTELY SENSED LAND SURFACE TEMPERATURE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Remotely sensed land surface temperature (LST) downscaling is an important issue in remote sensing. Geostatistical methods have shown their applicability in downscaling multi/hyperspectral images.
Q. Wang +4 more
doaj +1 more source
Remote Sensing, 2022 Sea surface wind (SSW) is a crucial parameter for meteorological and oceanographic research, and accurate observation of SSW is valuable for a wide range of applications.
Jia Liu +5 more
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