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
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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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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
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, 2023 MPI was removed from this release to simplify the downscaling of images. The performance penalty is small, the reduction in complexity however is big.If you use this software, please cite it using these ...
Gebert, Johannes
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A discussion of some aspects of statistical downscaling in climate impacts assessment
Shui kexue jinzhan, 2012 Global Climate Models(GCMs) are the primary tools for understanding how the global climate might change in the future.However,the relatively low spatial resolution of GCMs outputs is unsatisfactory for the local-scale climate impact assessments.Compared ...
LIU Chang-ming +3 more
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BDIS: Balanced Training Architecture for Dual Image Scaler Using Origin Referenceable Losses
IEEE Access, 2022 Deep neural network (DNN)-based research on image scaling has mostly focused on super-resolution (SR) rather than image downscaling. Specifically, most existing DNN-based methods for image downscaling are used as auxiliary modules to improve the quality ...
Eun Su Kang +4 more
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Remarks on the redefinition of system boundaries and model parameterization for downscaling experiments [PDF]
, 2009 The paper discusses problems encountered while implementing a downscaling experiment for testing the potential impacts of changes in temporal precipitation patterns on the biogeochemical properties of the lagoon of Venice.
Solidoro, C. +4 more
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Climate change and extreme wind speeds: An application of statistical downscaling to various climate scenarios in Northern Italy [PDF]
, 2023 openQuando parliamo di cambiamento climatico facciamo comunemente riferimento al riscaldamento globale, ma ci sono molti altri aspetti, o “sintomi”, meno evidenti. Considerando il sistema Terra nel suo insieme viene naturale ipotizzare che un cambiamento
BEVILACQUA, ARTURO
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Applied Sciences, 2023 This paper compared the predictive performance of different regression models for trend component estimation in the spatial downscaling of coarse resolution satellite data using area-to-point regression kriging in the context of the sensitivity to input ...
Geun-Ho Kwak +2 more
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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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