scholarly journals Perspectives for Very High-Resolution Climate Simulations with Nested Models: Illustration of Potential in Simulating St. Lawrence River Valley Channelling Winds with the Fifth-Generation Canadian Regional Climate Model

Climate ◽  
2015 ◽  
Vol 3 (2) ◽  
pp. 283-307 ◽  
Author(s):  
Mélissa Cholette ◽  
René Laprise ◽  
Julie Thériault
2012 ◽  
Vol 117 (D2) ◽  
pp. n/a-n/a ◽  
Author(s):  
Philippe Lucas-Picher ◽  
Maria Wulff-Nielsen ◽  
Jens H. Christensen ◽  
Guðfinna Aðalgeirsdóttir ◽  
Ruth Mottram ◽  
...  

2013 ◽  
Vol 41 (11-12) ◽  
pp. 3167-3201 ◽  
Author(s):  
Leo Šeparović ◽  
Adelina Alexandru ◽  
René Laprise ◽  
Andrey Martynov ◽  
Laxmi Sushama ◽  
...  

2012 ◽  
Vol 40 (5-6) ◽  
pp. 1415-1433 ◽  
Author(s):  
Leticia Hernández-Díaz ◽  
René Laprise ◽  
Laxmi Sushama ◽  
Andrey Martynov ◽  
Katja Winger ◽  
...  

2012 ◽  
Vol 25 (17) ◽  
pp. 5791-5806 ◽  
Author(s):  
Elizabeth J. Kendon ◽  
Nigel M. Roberts ◽  
Catherine A. Senior ◽  
Malcolm J. Roberts

Abstract The realistic representation of rainfall on the local scale in climate models remains a key challenge. Realism encompasses the full spatial and temporal structure of rainfall, and is a key indicator of model skill in representing the underlying processes. In particular, if rainfall is more realistic in a climate model, there is greater confidence in its projections of future change. In this study, the realism of rainfall in a very high-resolution (1.5 km) regional climate model (RCM) is compared to a coarser-resolution 12-km RCM. This is the first time a convection-permitting model has been run for an extended period (1989–2008) over a region of the United Kingdom, allowing the characteristics of rainfall to be evaluated in a climatological sense. In particular, the duration and spatial extent of hourly rainfall across the southern United Kingdom is examined, with a key focus on heavy rainfall. Rainfall in the 1.5-km RCM is found to be much more realistic than in the 12-km RCM. In the 12-km RCM, heavy rain events are not heavy enough, and tend to be too persistent and widespread. While the 1.5-km model does have a tendency for heavy rain to be too intense, it still gives a much better representation of its duration and spatial extent. Long-standing problems in climate models, such as the tendency for too much persistent light rain and errors in the diurnal cycle, are also considerably reduced in the 1.5-km RCM. Biases in the 12-km RCM appear to be linked to deficiencies in the representation of convection.


Atmosphere ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 283
Author(s):  
Benjamin Schaaf ◽  
Frauke Feser ◽  
Insa Meinke

Long-term atmospheric changes are a result of complex interactions on various spatial scales. In this study, we examine the long-term variability of the most important meteorological variables in a convection-permitting regional climate model simulation. A consistent, gridded data set from 1948 to 2014 was computed using the regional climate model COSMO-CLM with a very high convection-permitting resolution at a grid distance of 2.8 km, for a region encompassing the German Bight and Northern Germany. This is one of the very first atmospheric model simulations with such high resolution, and covering several decades. Using a very high-resolution hindcast, this study aims to extend knowledge of the significance of regional details for long-term variability and multi-decadal trends of several meteorological variables such as wind, temperature, cloud cover, precipitation, and convective available potential energy (CAPE). This study demonstrates that most variables show merely large decadal variability and no long-term trends. The analysis shows that the most distinct and significant positive trends occur in temperature and in CAPE for annual mean values as well as for extreme events. No clear and no significant trend is detectable for the annual sum of precipitation and for extreme precipitation. However, spatial structures in the trends remain weak.


2013 ◽  
Vol 41 (11-12) ◽  
pp. 3219-3246 ◽  
Author(s):  
René Laprise ◽  
Leticia Hernández-Díaz ◽  
Kossivi Tete ◽  
Laxmi Sushama ◽  
Leo Šeparović ◽  
...  

SOLA ◽  
2020 ◽  
Vol 16 (0) ◽  
pp. 132-139
Author(s):  
Sheau Tieh Ngai ◽  
Hidetaka Sasaki ◽  
Akihiko Murata ◽  
Masaya Nosaka ◽  
Jing Xiang Chung ◽  
...  

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