DeepPE: Emulating Parameterization in Numerical Weather Forecast Model Through Bidirectional Network

2021 ◽  
pp. 87-101
Author(s):  
Fengyang Xu ◽  
Wencheng Shi ◽  
Yunfei Du ◽  
Zhiguang Chen ◽  
Yutong Lu
Keyword(s):  
Weather Forecast ◽  
Forecast Model ◽  
Numerical Weather ◽  
Weather Forecast Model ◽  
Numerical Weather Forecast

scholarly journals Sensitivity of a long-range numerical weather forecast model to small changes of model parameters

2011 ◽  
Vol 6 (1) ◽  
pp. 13-18 ◽  
Author(s):  
M. B. Gavrilov ◽  
G. R. Jovanović ◽  
Z. Janjić
Keyword(s):  
Initial Conditions ◽  
Weather Forecast ◽  
Forecast Model ◽  
Model Parameters ◽  
Weather Forecasts ◽  
Numerical Weather ◽  
First Case ◽  
Weather Forecast Model ◽  
Model Setup ◽  
Numerical Weather Forecast

Abstract. Sensitivity of extended-range numerical weather forecasts to small changes of model parameters is studied for two cases. In the first case the Earth radius was perturbed. In the other case changes of the gravity were introduced. The results for the 500 hPa geopotential fields are presented on hemispheric maps and intercompared visually and using RMS differences of the perturbed and reference forecasts. During about the first 10 days of integration the results indicate modest sensitivity of the forecasts to the parameter variation. After this period the forecasts diverge rapidly and start to differ significantly. Repeated integrations on the same computer using the same model setup and the same initial conditions yield identical results.

scholarly journals Operational Implementation of the ISBA Land Surface Scheme in the Canadian Regional Weather Forecast Model. Part II: Cold Season Results

2003 ◽  
Vol 4 (2) ◽  
pp. 371-386 ◽  
Author(s):  
Stéphane Bélair ◽  
Ross Brown ◽  
Jocelyn Mailhot ◽  
Bernard Bilodeau ◽  
Louis-Philippe Crevier
Keyword(s):  
Land Surface ◽  
Weather Forecast ◽  
Forecast Model ◽  
Cold Season ◽  
Land Surface Scheme ◽  
Weather Forecast Model ◽  
Surface Scheme
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