Regional Climate Simulations with COSMO-CLM: Ensembles, Very High Resolution and Paleoclimate

Author(s):  
G. Schädler ◽  
H.-J. Panitz ◽  
E. Christner ◽  
H. Feldmann ◽  
M. Karremann ◽  
...  
1998 ◽  
Vol 11 (12) ◽  
pp. 3204-3229 ◽  
Author(s):  
Ole B. Christensen ◽  
Jens H. Christensen ◽  
Bennert Machenhauer ◽  
Michael Botzet

2015 ◽  
Vol 54 (2) ◽  
pp. 370-394 ◽  
Author(s):  
Julia Andrys ◽  
Thomas J. Lyons ◽  
Jatin Kala

AbstractThe authors evaluate a 30-yr (1981–2010) Weather Research and Forecast (WRF) Model regional climate simulation over the southwest of Western Australia (SWWA), a region with a Mediterranean climate, using ERA-Interim boundary conditions. The analysis assesses the spatial and temporal characteristics of climate extremes, using a selection of climate indices, with an emphasis on metrics that are relevant for forestry and agricultural applications. Two nested domains at 10- and 5-km resolution are examined, with the higher-resolution simulation resolving convection explicitly. Simulation results are compared with a high-resolution, gridded observational dataset that provides daily rainfall, minimum temperatures, and maximum temperatures. Results show that, at both resolutions, the model is able to simulate the daily, seasonal, and annual variation of temperature and precipitation well, including extreme events. The higher-resolution domain displayed significant performance gains in simulating dry-season convective precipitation, rainfall around complex terrain, and the spatial distribution of frost conditions. The high-resolution domain was, however, influenced by grid-edge effects in the southwestern margin, which reduced the ability of the domain to represent frontal rainfall along the coastal region. On the basis of these results, the authors feel confident in using the WRF Model for regional climate simulations for the SWWA, including studies that focus on the spatial and temporal representation of climate extremes. This study provides a baseline climatological description at a high resolution that can be used for impact studies and will also provide a benchmark for climate simulations driven by general circulation models.


2018 ◽  
Vol 57 (9) ◽  
pp. 2179-2196 ◽  
Author(s):  
Eoin Whelan ◽  
Emily Gleeson ◽  
John Hanley

AbstractMet Éireann, the Irish Meteorological Service, has generated a very high resolution (2.5-km horizontal grid) regional climate reanalysis for Ireland called the Met Éireann Reanalysis (MÉRA). MÉRA spans the period from 1981 to 2015 and was produced using the shared ALADIN–HIRLAM numerical weather prediction system. This article includes comparisons with the ERA-Interim and Uncertainties in Ensembles of Regional Reanalyses (UERRA) datasets, analysis of data assimilation outputs, precipitation comparisons, and a focus on extremes of wind and rainfall. The comparisons with the reanalysis datasets show that MÉRA provides a high-quality reconstruction of recent Irish climate and benefits from the use of a very high resolution grid, in particular in relation to wind and precipitation extremes.


2016 ◽  
Vol 25 (3) ◽  
pp. 291-304 ◽  
Author(s):  
Julia Hackenbruch ◽  
Gerd Schädler ◽  
Janus Willem Schipper

2019 ◽  
Vol 54 (1-2) ◽  
pp. 173-189 ◽  
Author(s):  
Liying Qiu ◽  
Eun-Soon Im ◽  
Jina Hur ◽  
Kyo-Moon Shim

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