Results 41 to 50 of about 109,140 (374)
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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Application of Gaofen-6 Images in the Downscaling of Land Surface Temperatures
Remote Sensing, 2022 The coarse resolution of land surface temperatures (LSTs) retrieved from thermal-infrared (TIR) satellite images restricts their usage. One way to improve the resolution of such LSTs is downscaling using high-resolution remote sensing images.
Xiaoyuan Li, Xiufeng He, Xin Pan
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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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Uncovering the shortcomings of a weather typing method [PDF]
Hydrology and Earth System Sciences, 2020 In recent years many methods for statistical downscaling of the precipitation climate model outputs have been developed. Statistical downscaling is performed under general and method-specific (structural) assumptions but those are rarely evaluated ...
E. Van Uytven +3 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
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PLOS Water, 2022 Water resources managers must increasingly consider climate change implications of, whether the concern is floods, droughts, reservoir management, or reliably supplying consumers. Hydrologic and water quality modeling of future climate scenarios requires
A. Keller +4 more
semanticscholar +1 more source
Blue Nile Runoff Sensitivity to Climate Change [PDF]
, 2010 This study describes implementation of hydrological climate change impact assessment tool utilising a combination of statistical spatiotemporal downscaling and an operational hydrological model known as the Nile Forecasting System.
Bellerby, T +3 more
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Downscaling GRACE total water storage change using partial least squares regression
Scientific Data, 2021 The Gravity Recovery And Climate Experiment (GRACE) satellite mission recorded temporal variations in the Earth’s gravity field, which are then converted to Total Water Storage Change (TWSC) fields representing an anomaly in the water mass stored in all ...
B. Vishwakarma, Jinwei Zhang, N. Sneeuw
semanticscholar +1 more source
Advances in Meteorology, 2016 Many downscaling techniques have been developed in the past few years for projection of station-scale hydrological variables from large-scale atmospheric variables to assess the hydrological impacts of climate change.
Jiaming Liu +4 more
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Downscaling Groundwater Storage Data in China to a 1-km Resolution Using Machine Learning Methods
Remote Sensing, 2021 High-resolution and continuous hydrological products have tremendous importance for the prediction of water-related trends and enhancing the capability for sustainable water resources management under climate change and human impacts.
Jianxin Zhang, Kai Liu, Ming Wang
semanticscholar +1 more source