Temporal and spatial downscaling for solar radiation [PDF]
35 pages, 14 ...
Bailey, Maggie +4 more
openaire +3 more sources
Spatial Downscaling of Sea Surface Temperature Using Diffusion Model [PDF]
Remote SensingIn recent years, advancements in high-resolution digital twin platforms or artificial intelligence marine forecasting have led to the increased requirements of high-resolution oceanic data. However, existing sea surface temperature (SST) products from observations often fail to meet researchers’ resolution requirements.
Shuo Wang +4 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
doaj +1 more source
Fusion of Surface Soil Moisture Data for Spatial Downscaling of Daily Satellite Precipitation Data [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingRemote sensing satellites provide an effective solution for obtaining large-scale precipitation data. However, the spatial resolution of satellite-based precipitation products is often too coarse for hydrological applications at the regional scale.
Qunming Wang, Ping Ji, Peter M. Atkinson
doaj +2 more sources
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
doaj +1 more source
Residential electricity demand projections for Italy: A spatial downscaling approach [PDF]
Energy Policy, 2022 This work projects future residential electricity demand in Italy at the local (1 km grid) level based on population, land use, socio-economic and climate scenarios for the year 2050. A two-step approach is employed. In the first step, a grid-level model is estimated to explain land use as a function of socio-economic and demographic variables.
Massimiliano Rizzati +4 more
openaire +3 more sources
Use-case of Deep Generative Models for Perfect Prognosis Climate Downscaling [PDF]
, 2021 Use-case of Deep Generative Models for Perfect Prognosis Climate Downscaling.Language: Python and R.Installation: A Dockerfile is available with all the libraries needed to run the experiment.Instructions: The notebook preprocessData.ipynb is available ...
González-Abad, Jose +2 more
core +1 more source
Downscaling approach to develop future sub-daily IDF relations for Canberra Airport Region, Australia [PDF]
Proceedings of the International Association of Hydrological Sciences, 2015 Downscaling of climate projections is the most adopted method to assess the impacts of climate change at regional and local scale. In the last decade, downscaling techniques which provide reasonable improvement to resolution of General Circulation ...
H. M. S. M. Herath +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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Evaluation of soil moisture downscaling using a simple thermal-based proxy – the REMEDHUS network (Spain) example [PDF]
Hydrology and Earth System Sciences, 2015 Soil moisture retrieved from satellite microwave remote sensing normally has spatial resolution on the order of tens of kilometers, which are too coarse for many regional hydrological applications such as agriculture monitoring and drought prediction ...
J. Peng, J. Niesel, A. Loew
doaj +1 more source