Results 21 to 30 of about 12,074 (267)
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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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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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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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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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
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Evaluation of downscaling seasonal climate forecasts for crop yield forecasting in Zimbabwe
Climate Services, 2023 Meteorology and weather forecasting are crucial for water-limited agriculture. We evaluate the added value of downscaling seven-months global deterministic seasonal forecasts from the Climate Forecast System version 2 (CFSv2) using the Weather, Research ...
S. Chinyoka, G.J. Steeneveld
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Remote Sensing, 2023 Spatial downscaling is an important approach to obtain high-resolution land surface temperature (LST) for thermal environment research. However, existing downscaling methods are unable to sufficiently address both spatial heterogeneity and complex ...
Minggao Liang +8 more
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