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BiLSTM-Kalman framework for precipitation downscaling under multiple climate change scenarios. [PDF]

Sci Rep
Jahangiri M, Asghari M, Niksokhan MH, Nikoo MR.   +3 more
europepmc   +1 more source

Strategies and measures for determining the skill of dynamical downscaling

, 2014
openaire   +1 more source

Dynamical and statistical downscaling of seasonal temperature forecasts in Europe: Added value for user applications [PDF]

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, J M Gutierrez, J Fernández   +2 more
exaly   +4 more sources

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Downscaling Global Climate Simulations to Regional Scales: Statistical Downscaling versus Dynamical Downscaling

Journal of Hydrologic Engineering, 2015
AbstractDownscaling is a fundamental procedure in the assessment of the future climate change impact at regional and watershed scales. Hence, it is important to investigate the spatial variability of the climate conditions that are constructed by various downscaling methods to assess whether each method can properly model the climate conditions at ...
S. Jang, M. L. Kavvas
openaire   +1 more source

Downscaling from GCM precipitation: a benchmark for dynamical and statistical downscaling methods

International Journal of Climatology, 2006
A precipitation downscaling method is presented using precipitation from a general circulation model (GCM) as predictor. The method extends a previous method from monthly to daily temporal resolution. The simplest form of the method corrects for biases in wet-day frequency and intensity. A more sophisticated variant also takes account of flow-dependent
Jürg Schmidli, Christoph Frei, Pier Luigi Vidale   +2 more
openaire   +1 more source

Regional Dynamical Downscaling

2020
Dynamical downscaling has been used for about 30 years to produce high-resolution climate information for studies of regional climate processes and for the production of climate information usable for vulnerability, impact assessment and adaptation studies.
openaire   +1 more source

Statistical-dynamical downscaling of wind climatologies

Journal of Wind Engineering and Industrial Aerodynamics, 1997
Abstract A statistical-dynamical downscaling procedure is applied for an investigation into the availability of wind power over a region of 80 × 87 km which covers flat and hilly terrain. The approach is based on the statistical coupling of a regionally representative wind climate with a numerical atmospheric mesoscale model.
Heinz-Theo Mengelkamp, Hartmut Kapitza, Ulrich Pflüger   +2 more
openaire   +1 more source

Statistical Downscaling versus Dynamic Downscaling: An Assessment Based upon a Sample Study

World Environmental and Water Resources Congress 2014, 2014
In this study the precipitation variability between a statistical downscaling method (BCSD) and a dynamical downscaling method (MM5) that is based on the CCSM3 GCM control run for a historical period and on the CCSM3 GCM A1B emission scenario simulations for a projection period, is investigated by means of the normalized standard deviation and the ...
S. Jang, M. L. Kavvas
openaire   +1 more source

A statistical-dynamical downscaling procedure for global climate simulations

Theoretical and Applied Climatology, 1995
A statistical-dynamical downscaling procedure for global climate simulations is described. The procedure is based on the assumption that any regional climate is associated with a specific frequency distribution of classified large-scale weather situations. The frequency distributions are derived from multi-year episodes of low resolution global climate
Frey-Buness, A., Heimann, D., Sausen, R.
openaire   +2 more sources