Results 31 to 40 of about 4,088,927 (359)

A simple hybrid statistical–dynamical downscaling method for emulating regional climate models over Western Europe. Evaluation, application, and role of added value?

Climate Dynamics, 2022
A hybrid statistical dynamical downscaling method intended to emulate regional climate models is described and applied to Western Europe. The method is based on a constructed analogues algorithm, already used for statistical downscaling.
J. Boé, A. Mass, Julie Deman
semanticscholar   +1 more source

Comparison of statistical and dynamical downscaling methods for seasonal-scale winter precipitation predictions over north India [PDF]

, 2019
The main aim of the present study is to analyse the capabilities of two downscaling approaches (statistical and dynamical) in predicting wintertime seasonal precipitation over north India.
Acharya, Ayar, Barnston, Chattopadhyay, Christensen, Christensen, Dee, Dutta, Elguindi, Flato, Giorgi, Giorgi, Goodess, Grigory, Kar, Kar, Kar, Kumar, Maraun, Mason Simon, Mohanty, Pai, Perez, Ramírez, Sachindra, Sachindra, Saha, Schmidli, Shukla, Singh, Sinha, Sinha, Smith, Sorland, Su, Taylor, Tiwari, Tiwari, Tiwari, Tiwari, Trigo, Wang, Wilby, Wilks, Wilks, Willmott   +45 more
core   +1 more source

Evaluation of dynamical downscaling prediction of BCC second-generation model system product to precipitation over Chongqing during the flood season of 2016

暴雨灾害, 2019
To evaluate the dynamical downscaling prediction skill on the averaged precipitation in flood season over Chongqing, using WRF model based on Beijing Climate Center (BCC) second-generation seasonal prediction model system (BCCv2) product, we have ...
Haonan ZHU, Xiaoran LIU, Yao WU, Xinning DONG, Hongyu TANG, Bingyan CHENG   +5 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, Dobler, Andreas, Kienberger, Stefan, Sharma, Nayan, Yaoming, Ma   +4 more
core   +2 more sources

Coupling dynamical and statistical downscaling for high-resolution rainfall forecasting: case study of the Red River Delta, Vietnam

Progress in Earth and Planetary Science, 2018
The hybrid dynamical-statistical downscaling approach is an effort to combine the ability of dynamical downscaling to resolve fine-scale climate changes with the low computational cost of statistical downscaling.
Quan Tran Anh, Kenji Taniguchi
doaj   +1 more source

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

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. Gutiérrez, J. Fernández, E. van Meijgaard, S. Calmanti, M.E. Magariño, A.S. Cofiño, S. Herrera   +7 more
doaj   +1 more source

Statistical downscaling based on dynamically downscaled predictors: Application to monthly precipitation in Sweden [PDF]

Advances in Atmospheric Sciences, 2003
A prerequisite of a successful statistical downscaling is that large-scale predictors simulated by the General Circulation Model (GCM) must be realistic. It is assumed here that features smaller than the GCM resolution are important in determining the realism of the large-scale predictors.
Cecilia Hellström, Deliang Chen
openaire   +1 more source

Projected Changes in Temperature and Precipitation over Kashafrood Basin Based on Statistical and Dynamical Downscaling Methods [PDF]

مخاطرات محیط طبیعی, 2021
It is well-known that climate is changing continuously under the intricate influences of natural and artificial factors at global and regional scales. The global Coupled Model Intercomparison Project (CMIP) already provides multi model data resources in ...
Hooshmand Ataei, Mansoureh Kouhi, Rahele Modirian, Bahare Bazrafshan   +3 more
doaj   +1 more source

Review of Downscaling Methodologies for Africa Climate Applications [PDF]

, 2008
Downscaling is the term used to describe the various methods used to translate the climate projections from coarse resolution GCMs to finer resolutions deemed more useful for assessing impacts.
Block, Paul J., Brown, Casey, Giannini, Alessandra, Greene, Arthur M.   +3 more
core   +2 more sources

Testing Reanalyses in Constraining Dynamical Downscaling

Journal of the Meteorological Society of Japan. Ser. II, 2016
Reanalysis data sets have been widely used in regional climate dynamical downscaling studies. In this study, we test the use of various reanalysis data sets in constraining dynamical downscaling by assessing the reconstruction skill of the Yellow Sea coastal winds using the COSMO model in Climate Mode (CCLM) with 7-km resolution.
Li, D., Storch, H.v., Geyer, B.
openaire   +4 more sources