Regional Replay: A Unique Reanalysis-Based Tool for Addressing Model Error

[摘要] Understanding and correcting errors in general circulation and climate models has long been part intuition and part trial and error. Efforts to diagnose the errors and provide some guidance to developers have been of some value, though such efforts, with few exceptions, have been more successful in identifying and documenting the errors in the model simulations rather than the model deficiencies that produced them. Modern atmospheric reanalyses such as MERRA-2 provide much-improved estimates of our climate system at hourly to interannual and longer time scales and have become an important tool for assessing model performance. Here we use MERRA-2 to address biases in the NASA/GMAO GEOS model by employing a "regional replay" approach developed in the GMAO. The regional replay approach constrains the model to remain close to the reanalysis over arbitrary regions and selected model variables, thus allowing us to examine how model error generated over one area is spatially translated across the globe. Several examples are given including an assessment of the global impact of errors produced over the Tibet region.

[发布日期] 2018-12-10

[学科分类] 大气科学

[关键词] ASSIMILATION;BIAS;CLIMATE MODELS;CORRECTION;DATA SYSTEMS;ERROR ANALYSIS;VORTICES;ATMOSPHERIC GENERAL CIRCULATION MODELS;CLIMATOLOGY;EARTH SCIENCES;FORECASTING;NORTH AMERICA