Results 31 to 40 of about 33,164 (284)
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
doaj +1 more source
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
core +2 more sources
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
doaj +1 more source
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
doaj +1 more source
Use-case of Deep Generative Models for Perfect Prognosis Climate Downscaling
, 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
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
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
core +1 more source
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
doaj +1 more source
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
doaj +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
doaj +1 more source