Results 121 to 130 of about 1,188 (159)

Major distribution shifts are projected for key rangeland grasses under a high-emission scenario in East Africa at the end of the 21^st century. [PDF]

Commun Earth Environ
Messmer M, Eckert S, Torre-Marin Rando A, Snethlage M, González-Rojí SJ, Hurni K, Beyerle U, Hemp A, Kibet S, Stocker TF.   +9 more
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Strategies and measures for determining the skill of dynamical downscaling

, 2014
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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
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Dynamical downscaling of climate projections in the tropics

2023
The long-existing double-ITCZ problem in Global Climate Models (GCMs) hampers accurate climate simulation. Using a regional climate model (RCM) over the tropical and sub-tropical Atlantic with a horizontal resolution of 12 km and explicit convection, we develop a bias-correction downscaling methodology to remove GCM biases.
Shuchang Liu, Christian Zeman, Christoph Schär   +2 more
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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
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Regional Dynamical Downscaling

2020
Abstract 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.
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Deep recurrent learned dynamic downscaling

2022
Global climate models represent major climate system components of the planet in order to generate long term, sparse, accurate realizations of future climatic events across the entire globe. Downscaling is the method by which these low resolution realizations are converted into high resolution simulations of climate events which can then be used by ...
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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
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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
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