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同济大学测绘与地理信息学院王群明教授课题组本科生在遥感领域顶级期刊《Remote Sensing of Environment》发表论文：Blocks-removed spatial unmixing for downscaling MODIS images（图）
同济大学 测绘与地理信息学院 王群明 教授 课题组 遥感领域 顶级期刊
2021/3/18
近日，同济大学测绘与地理信息学院王群明教授课题组在遥感领域顶级期刊《Remote Sensing of Environment》发表了1篇论文。本研究受到国家自然基金项目（41971297）资助。
Statistical downscaling of MODIS thermal imagery to Landsat 5tm + resolutions
Statistical downscaling MODIS thermal Landsat 5tm + resolutions
2015/1/9
Statistical downscaling of MODIS thermal imagery to Landsat 5tm + resolutions.
Ice sheet dynamics within an earth system model: downscaling, coupling and first results
earth system model downscaling
2014/12/19
We present first results from a coupled model
setup, consisting of the state-of-the-art ice sheet model
RIMBAY (Revised Ice Model Based on frAnk pattYn), and
the community earth system model ...
TopoSCALE v.1.0: downscaling gridded climate data in complex terrain
complex terrain climate data
2014/12/18
Simulation of land surface processes is problematic in heterogeneous terrain due to the the high resolution
required of model grids to capture strong lateral variability
caused by, for example, topo...
Downscaling a global climate model to simulate climate change over the US and the implication on regional and urban air quality
Downscaling a global climate model simulate climate change over the US regional and urban air quality
2014/12/12
Climate change can exacerbate future regional air pollution events by making conditions more favorable to form high levels of ozone. In this study, we use spectral nudging with the Weather Research an...
Downscaling the climate change for oceans around Australia
Global climate models climate change Marine Marine climate change the dynamic downscaling forecasting model
2014/12/10
At present, global climate models used to project changes in climate poorly resolve mesoscale ocean features such as boundary currents and eddies. These missing features may be important to realistica...
A pragmatic approach for the downscaling and bias correction of regional climate simulations: evaluation in hydrological modeling
the downscaling bias correction regional climate simulations hydrological modeling
2014/12/9
The present study investigates a statistical approach for the downscaling of climate simulations focusing on those meteorological parameters most commonly required as input for climate change impact m...
Introduction of daily minimum and maximum temperature change signals in the Shikoku region using the statistical downscaling method by GCMs
climate change maximum temperature diurnal temperature range statistical downscaling model Shikoku
2013/10/8
Impacts of climate change may depend more on changes in mean daily minimum temperature (Tmin) or maximum temperature (Tmax) than on average temperature (Tavg). In this study, we apply a statistical do...
Dynamic downscaling of near-surface air temperature at the basin scale using WRF–a case study in the Heihe River Basin, China
weather research and forecasting model dynamic downscaling surface air temperature Heihe River Basin Watershed Allied Telemetry Experimental Research Project
2013/9/2
The spatial resolution of general circulation models (GCMs) is too coarse to represent regional climate variations at the regional, basin, and local scales required for many environmental modeling and...
Analysis of the impact of climate change on groundwater related hydrological fluxes: a multi-model approach including different downscaling methods
groundwater related hydrological fluxes multi-model approach
2011/1/7
Climate change related modifications in the spatio-temporal distribution of precipitation and evapotranspiration will have an impact on groundwater resources. This study presents a modelling approach ...
Evaluation of Various Linear Regression Methods for Downscaling of Mean Monthly Precipitation in Arid Pichola Watershed
Backward Forward Precipitation Regression Stepwise
2013/3/8
In this paper, downscaling models are developed using various linear regression approaches namely direct, forward, backward and stepwise regression for downscaling of GCM output to predict mean monthl...
Evaluation of Various Linear Regression Methods for Downscaling of Mean Monthly Precipitation in Arid Pichola Watershed
Backward Forward Precipitation Regression Stepwise
2013/3/8
In this paper, downscaling models are developed using various linear regression approaches namely direct, forward, backward and stepwise regression for downscaling of GCM output to predict mean monthl...
Downscaling of METEOSAT SEVIRI 0.6 and 0.8 μm channel radiances utilizing the high-resolution visible channel
METEOSAT SEVIRI 0.6 and 0.8 μm channel the high-resolution visible channel
2010/10/21
An algorithm is introduced to downscale the 0.6 and 0.8 μm spectral channels of the METEOSTAT SEVIRI satellite imager from 3×3 km2 (LRES) to 1×1 km2 (HRES) resolution utilizing SEVIRI's high-resolutio...
Downscaling extremes: A comparison of extreme value distributions in point-source and gridded precipitation data
Primary projections of extreme events reanalysis
2010/10/19
There is substantial empirical and climatological evidence that precipitation extremes have become more extreme during the twentieth century, and that this trend is likely to continue as global warmi...
Application of PLS-Regression as Downscaling Tool for Pichola Lake Basin in India
PLS Regression Precipitation VIP Score
2013/3/6
In this paper, downscaling models are developed using Partial Least Squares (PLS) Regression for obtaining projections of mean monthly precipitation to lake-basin scale in an arid region in India. The...