Biological and Environmental Research - Earth and Environmental System Sciences
Earth and Environmental System Modeling

Benchmarking Simulated Precipitation in Earth System Models

TitleBenchmarking Simulated Precipitation in Earth System Models
Publication TypeWorkshop Report
Year of Publication2020
AuthorsGleckler, Peter, Jakob Christian, L. Leung Ruby, and Pendergrass Angeline
Report NumberDOE/SC-0203
PublisherU.S. Department of Energy
Place PublishedGermantown, Maryland
Abstract / Summary

Earth system models (ESMs) bridge observationally based and theoretical understanding of the Earth system. They are among the best tools to study a variety of questions related to variability and changes in the Earth’s climate. ESMs realistically simulate observed large-scale precipitation patterns and seasonal cycles that have a multitude of societal and national security implications. 

Despite steady improvement in the simulation of precipitation characteristics, persistent errors in several aspects of simulated precipitation preclude higher confidence in using ESMs  to understand earth system variability and change and to make decisions.

In July 2019, the Regional and Global Model Analysis (RGMA) Program Area within the Earth and Environmental Systems Modeling (EESM) Program in the Climate and Environmental Sciences Division at the U.S. Department of Energy (DOE) led a two-day Precipitation Metrics Workshop, led by DOE Program Manager Renu Joseph and co-chaired by Peter Gleckler of Lawrence Livermore National Laboratory, Angeline Pendergrass of the National Center for Atmospheric Research (NCAR), and Ruby Leung of Pacific Northwest National Laboratory. 

A diverse group of experts participated in the workshop, including model developers, observational experts, scientists with expertise in diagnosing or evaluating simulated precipitation and related processes, and  
several with experience in objectively summarizing model performance with metrics. Among others, they represented the National Aeronautics and Space Administration (NASA), National Oceanic and Atmospheric Administration (NOAA), DOE national laboratories, and universities. 

Original Publication: 
Year of Publication: 2020
Report Number: DOE/SC-0203
Publication Date: 07/2020

Earth system models (ESMs) bridge observationally based and theoretical understanding of the Earth system. They are among the best tools to study a variety of questions related to variability and changes in the Earth’s climate. ESMs realistically simulate observed large-scale precipitation patterns and seasonal cycles that have a multitude of societal and national security implications. 

Despite steady improvement in the simulation of precipitation characteristics, persistent errors in several aspects of simulated precipitation preclude higher confidence in using ESMs  to understand earth system variability and change and to make decisions.

In July 2019, the Regional and Global Model Analysis (RGMA) Program Area within the Earth and Environmental Systems Modeling (EESM) Program in the Climate and Environmental Sciences Division at the U.S. Department of Energy (DOE) led a two-day Precipitation Metrics Workshop, led by DOE Program Manager Renu Joseph and co-chaired by Peter Gleckler of Lawrence Livermore National Laboratory, Angeline Pendergrass of the National Center for Atmospheric Research (NCAR), and Ruby Leung of Pacific Northwest National Laboratory. 

A diverse group of experts participated in the workshop, including model developers, observational experts, scientists with expertise in diagnosing or evaluating simulated precipitation and related processes, and  
several with experience in objectively summarizing model performance with metrics. Among others, they represented the National Aeronautics and Space Administration (NASA), National Oceanic and Atmospheric Administration (NOAA), DOE national laboratories, and universities. 

Publisher: U.S. Department of Energy
Place Published: Germantown, Maryland
Citation:
Gleckler, P, C Jakob, LR Leung, and A Pendergrass.  2020.  "Benchmarking Simulated Precipitation in Earth System Models."  U.S. Department of Energy, Germantown, Maryland.