Results 21 to 30 of about 6,035 (266)
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
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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
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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
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Statistical downscaling of GCM simulations to Streamflow
Journal of Hydrology, 2001 A multi-tiered forecast procedure is employed to simulate real-time operational seasonal forecasts of categorized (below-normal, near-normal and above-normal) streamflow at the inlets of twelve dams of the Vaal and upper Tugela river catchments in South Africa.
Landman, Willem A. +3 more
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Differential Credibility Assessment for Statistical Downscaling [PDF]
Journal of Applied Meteorology and Climatology, 2020 AbstractClimate science is increasingly using (i) ensembles of climate projections from multiple models derived using different assumptions and/or scenarios and (ii) process-oriented diagnostics of model fidelity. Efforts to assign differential credibility to projections and/or models are also rapidly advancing.
S. C. Pryor, J. T. Schoof
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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
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Statistically downscaled climate dataset for East Africa [PDF]
Scientific Data, 2019 AbstractFor many regions of the world, current climate change projections are only available at coarser spatial resolution from Global Climate Models (GCMs) that cannot directly be used in impact assessment and adaptation studies at regional and local scale.
Gebrechorkos, Solomon H. +2 more
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Atmosphere, 2011 When assessing the magnitude of climate signals in a regional scale, a host of optional approaches is feasible. This encompasses the use of regional climate models (RCM), nested into global climate models (GCM) for an area of interest as well as ...
Arne Spekat +3 more
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Statistical downscaling with the downscaleR package: Contribution to the VALUE intercomparison experiment [PDF]
, 2019 Abstract. The increasing demand for high-resolution climate information has attracted a growing attention for statistical downscaling methods (SD), due in part to their relative advantages and merits as compared to dynamical approaches (based on regional climate model simulations), such as their much lower computational cost and their fitness-for ...
Joaquín Bedia +9 more
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pyESDv1.0.1: an open-source Python framework for empirical-statistical downscaling of climate information [PDF]
Geoscientific Model Development, 2023 The nature and severity of climate change impacts vary significantly from region to region. Consequently, high-resolution climate information is needed for meaningful impact assessments and the design of mitigation strategies.
D. Boateng, S. G. Mutz, S. G. Mutz
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