Comparison of statistical downscaling methods with respect to extreme events over Europe: Validation results from the perfect predictor experiment of the COST Action VALUE
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Climatology"
DOI: 10.1002/joc.5469
Abstract: Special Issue: VALUE: Validating and Integrating Downscaling Methods for Climate Change Research. read more here.
Keywords: value; comparison statistical; methods respect; statistical downscaling ... See more keywords
Statistical downscaling skill under present climate conditions: A synthesis of the VALUE perfect predictor experiment
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DOI: 10.1002/joc.5877
Abstract: • Users may freely distribute the URL that is used to identify this publication. • Users may download and/or print one copy of the publication from the University of Birmingham research portal for the purpose… read more here.
Keywords: climate conditions; users may; skill present; present climate ... See more keywords
Climate change projections of temperature and precipitation in Chile based on statistical downscaling
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DOI: 10.1007/s00382-020-05231-4
Abstract: 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. This is… read more here.
Keywords: change projections; statistical downscaling; precipitation; climate change ... See more keywords
Uncertainties of statistical downscaling from predictor selection: Equifinality and transferability
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DOI: 10.1016/j.atmosres.2017.12.008
Abstract: Abstract The nonhomogeneous hidden Markov model (NHMM) statistical downscaling model, 38 catchments in southeast Australia and 19 general circulation models (GCMs) were used in this study to demonstrate statistical downscaling uncertainties caused by equifinality to… read more here.
Keywords: set predictors; hpa; equifinality transferability; predictor ... See more keywords
Statistical downscaling of seasonal wave forecasts
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DOI: 10.1016/j.ocemod.2019.04.001
Abstract: Abstract Despite the potential applicability of seasonal forecasting for decision making in construction, maintenance and operations of coastal and offshore infrastructures, tailored climate services have yet to be developed in the marine sector. In this… read more here.
Keywords: downscaling seasonal; statistical downscaling; seasonal wave; wave ... See more keywords
Statistical Downscaling of Gridded Wind Speed Data Using Local Topography
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DOI: 10.1175/jhm-d-16-0054.1
Abstract: AbstractWinds, particularly high winds, strongly affect snowmelt and snow redistribution. High winds during rain-on-snow events can lead to catastrophic flooding while strong redistribution events in mountain environments can generate dangerous avalanche conditions. To provide adequate… read more here.
Keywords: topography; statistical downscaling; wind speed; downscaling gridded ... See more keywords
Climate projections in Lake Maggiore watershed using statistical downscaling model
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DOI: 10.3354/cr01613
Abstract: Precipitation and temperature over the Lake Maggiore watershed greatly influence its water balance. Local communities from both Italy and Switzerland rely on the watershed for agriculture, tourism and hydropower production. Accurate climate projections in this… read more here.
Keywords: downscaling model; climate projections; maggiore watershed; lake maggiore ... See more keywords
Quantification of Uncertainty Propagation Effects during Statistical Downscaling of Precipitation and Temperature to Hydrological Modeling
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DOI: 10.3808/jei.201600347
Abstract: To understand the water balance and other environmental impacts under climate change condition, hydrological models are used to simulate the hydrological cycle and predict future scenarios by using general circulation models (GCMs) outputs. Due to… read more here.
Keywords: uncertainty; hydrological modeling; statistical downscaling; study ... See more keywords
Synoptic approach to forecasting and statistical downscaling of climate parameters (Case study: Golestan Province)
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DOI: 10.7508/pj.2017.03.013
Abstract: The present study attempts to introduce a method of statistical downscaling with a synoptic view. The precipitation data of Golestan Province has been used for the years 1971 to 2010. Employing multivariable regression, this study… read more here.
Keywords: precipitation; golestan province; study; province ... See more keywords