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Jan 13, 2021
Large ensemble simulations of worst heatwaves with importance sampling
Challenge: How to simulate 100 millennial heatwaves at the cost of 100 simulations?
Large ensemble simulations of worst heatwaves with importance sampling

Temperatures of the warmest summers that could be, starting on a June 1st (red) and temperature of the the warmest summers that could be, with a weather patterns that are similar to observations (blue)

Nudging a stochastic weather generator based on atmospheric circulation analogs towards high local temperatures [here temperature average between Madrid, Toulouse, Orly, De Bilt and Berlin], to obtain the warmest summers that could be, starting on a June 1st and the armest summers that could be, with a weather patterns that are similar to observations. This is a proof of concept of a methodology to simulate unprecedented events, by resampling observations. We performed application to simulate a worst case scenario (warm December then wet spring) leading to low crop yield.

References:

[1] Yiou, P. and Jézéquel, A.:, Geosci. Model Dev., 13, 763–781, https://doi.org/10.5194/gmd-13-763-2020,  2020.

[2] Pfleiderer, P., Jézéquel, A., Legrand, J., Legrix, N., Markantonis, I., Vignotto, E., and Yiou, P.: Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2020-32, 2020.

 

Authors:

YIOU Pascal (LSCE-IPSL, CNRS),  JEZEQUEL Aglaé

 

 
#208 - Last update : 01/13 2021
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