Results 31 to 40 of about 4,321,601 (325)
Meteorological Applications, 2023 This paper evaluated and compared the performance of a statistical downscaling method and a dynamical downscaling method to simulate the spatial–temporal rainfall distribution.
Raazia Attique +2 more
doaj +1 more source
Advances in Climate Change Research, 2023 Extensive investigations on the projection of heat waves (HWs) were conducted on the basis of coarse-resolution global climate models (GCMs). However, these investigations still fail to characterise the future changes in HWs regionally over China. PRECIS
Ming Zhang +3 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.
Ahrens, Bodo +4 more
core +2 more sources
Advances in Meteorology, 2017 Various downscaling approaches have been developed to overcome the limitation of the coarse spatial resolution of general circulation models (GCMs). Such techniques can be grouped into two approaches of dynamical and statistical downscaling.
Yoo-Bin Yhang, Soo-Jin Sohn, Il-Won Jung
doaj +1 more source
Climate Services, 2018 This work describes the results of a comprehensive intercomparison experiment of dynamical and statistical downscaling methods performed in the framework of the SPECS (http://www.specs-fp7.eu) and EUPORIAS (http://www.euporias.eu) projects for seasonal ...
R. Manzanas +7 more
doaj +1 more source
ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows [PDF]
International Conference on Climate Informatics, 2020 Downscaling is a common task in climate science and meteorology in which the goal is to use coarse scale, spatio-temporal data to infer values at finer scales.
Brian Groenke +2 more
semanticscholar +1 more source
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
core +3 more sources
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
Climate Dynamics, 2020 General circulation models (GCMs) allow the analysis of potential changes in the climate system under different emissions scenarios. However, their spatial resolution is too coarse to produce useful climate information for impact/adaptation assessments ...
Daniela Araya-Osses +4 more
semanticscholar +1 more source
Predictors and their domain for statistical downscaling of climate in Bangladesh [PDF]
, 2016 Reliable projection of future rainfall in Bangladesh is very important for the assessment of possible impacts of climate change and implementation of necessary adaptation and mitigation measures.
Alamgir, Mahiuddin +4 more
core +1 more source