Results 31 to 40 of about 10,908 (283)
Evaluation of Spatial Downscaling Methods for Enhancement of Spatial Precipitation Estimation [PDF]
Journal of korean society of hazard mitigation, 2013 In order to estimate a reliable spatial precipitation which has high resolution sub-measuring scale, a systematical research for spatial interpolation methods and evaluation of characteristics of them are required. This will be able to reduce disputes on selection of methodologies and estimate uncertainties of downscaled data.
Seok Hwan Hwang, Dae Heon Ham
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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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Spatial-temporal rainfall simulation using generalized linear models [PDF]
, 2005 We consider the problem of simulating sequences of daily rainfall at a network of sites in such a way as to reproduce a variety of properties realistically over a range of spatial scales.
Yang, C +7 more
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A comparison of stochastic models for spatial rainfall downscaling [PDF]
Water Resources Research, 2003 We explore the performance of three types of stochastic models used for spatial rainfall downscaling and assess their ability to reproduce the statistics of precipitation fields observed during the GATE radar experiment. We consider a bounded multifractal cascade, an autoregressive linear process passed through a nonlinear static filter (sometimes ...
FERRARIS, LUCA +3 more
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Regional climate projections in two alpine river basins: Upper Danube and Upper Brahmaputra [PDF]
, 2011 Projections from coarse-grid global circulation models are not suitable for regional estimates of water balance or trends of extreme precipitation and temperature, especially not in complex terrain.
Yaoming, Ma +9 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Land surface temperature (LST) is a key parameter in numerous environmental studies. However, currently, there is no satellite sensor that can completely provide LST data with both high spatial and high temporal resolutions simultaneously.
Xiaobo Luo +4 more
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Spatial Downscaling of MODIS Chlorophyll-a with Genetic Programming in South Korea [PDF]
Remote Sensing, 2020 Chlorophyll-a (Chl-a) is one of the major indicators for water quality assessment and recent developments in ocean color remote sensing have greatly improved the ability to monitor Chl-a on a global scale. The coarse spatial resolution is one of the major limitations for most ocean color sensors including Moderate Resolution Imaging Spectroradiometer ...
Hamid Mohebzadeh, Junho Yeom, Taesam Lee
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Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images [PDF]
, 2023 For bifacial solar photovoltaic panels, surface albedo plays a crucial role in estimating the radiant energy. Since land surfaces are heterogeneous, the actual albedo of the surface where the solar photovoltaic panel is placed can vary widely and its ...
Deo, Ravinesh C. +4 more
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Blocks-removed spatial unmixing for downscaling MODIS images [PDF]
Remote Sensing of Environment, 2021 Abstract The Terra/Aqua MODerate resolution Imaging Spectroradiometer (MODIS) data have been used widely for global monitoring of the Earth's surface due to their daily fine temporal resolution. The spatial resolution of MODIS time-series (i.e., 500 m), however, is too coarse for local monitoring.
Wang, Q. +4 more
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Roles of atmospheric and land surface data in dynamic regional downscaling [PDF]
, 2010 In studies dealing with the impact of land use changes on atmospheric processes, a key methodological step is the validation of simulated current conditions. However, regions lacking detailed atmospheric and land use data provide limited information with
Pielke, Roger A., Sr +3 more
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