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Title: The ARM Data-oriented Metrics and Diagnostics Package for Climate Models - A New Tool for Evaluating Climate Models with Field Data

Journal Article · · Bulletin of the American Meteorological Society
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  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Univ. of California, Los Angeles, CA (United States)
  3. University of California, Los Angeles, California
  4. California Institute of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab. (JPL)
  5. Brookhaven National Lab. (BNL), Upton, NY (United States)
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The U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) program User Facility produces ground-based long-term continuous unique measurements for atmospheric state, precipitation, turbulent fluxes, radiation, aerosol, cloud and the land surface, which are collected at multiple sites. These comprehensive datasets have been widely used to calibrate climate models and are proven to be invaluable for climate model development and improvement. This article introduces an evaluation package to facilitate the use of ground-based ARM measurements in climate model evaluation. The ARM data-oriented metrics and diagnostics package (ARM-DIAGS) includes both ARM observational datasets and a Python-based analysis toolkit for computation and visualization. The observational datasets are compiled from multiple ARM data products and specifically tailored for use in climate model evaluation. In addition, ARM-DIAGS also includes simulation data from models participating the Coupled Model Inter-comparison Project (CMIP), which will allow climate-modeling groups to compare a new, candidate version of their model to existing CMIP models. The analysis toolkit is designed to make the metrics and diagnostics quickly available to the model developers.

Research Organization:
Brookhaven National Lab. (BNL), Upton, NY (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Biological and Environmental Research (BER); National Science Foundation (NSF)
Grant/Contract Number:
SC0012704; AC52-07NA27344; SC0011074; B634021; AGS-1540518; AGS-1936810
OSTI ID:
1635462
Alternate ID(s):
OSTI ID: 1830485
Report Number(s):
BNL-216090-2020-JAAM; LLNL-JRNL-818708
Journal Information:
Bulletin of the American Meteorological Society, Vol. 101, Issue 10; ISSN 0003-0007
Publisher:
American Meteorological SocietyCopyright Statement
Country of Publication:
United States
Language:
English

References (15)

The ARM Cloud Radar Simulator for Global Climate Models: Bridging Field Data and Climate Models journal January 2018
Deep Convection and Column Water Vapor over Tropical Land versus Tropical Ocean: A Comparison between the Amazon and the Tropical Western Pacific journal October 2016
Developing long-term single-column model/cloud system–resolving model forcing data using numerical weather prediction products constrained by surface and top of the atmosphere observations journal January 2004
CLOUDS AND MORE: ARM Climate Modeling Best Estimate Data: A New Data Product for Climate Studies journal January 2010
Improved Diurnal Cycle of Precipitation in E3SM With a Revised Convective Triggering Function journal July 2019
Process-Oriented Evaluation of Climate and Weather Forecasting Models journal September 2019
Convective Transition Statistics over Tropical Oceans for Climate Model Diagnostics: GCM Evaluation journal January 2020
Metrics for the Diurnal Cycle of Precipitation: Toward Routine Benchmarks for Climate Models journal June 2016
CAUSES: Diagnosis of the Summertime Warm Bias in CMIP5 Climate Models at the ARM Southern Great Plains Site journal March 2018
Two Modes of Change of the Distribution of Rain journal November 2014
Toward understanding of differences in current cloud retrievals of ARM ground-based measurements: UNDERSTANDING CLOUD RETRIEVAL DIFFERENCE journal May 2012
Low‐cloud characteristics over the tropical western Pacific from ARM observations and CAM5 simulations journal September 2015
Convective Transition Statistics over Tropical Oceans for Climate Model Diagnostics: Observational Baseline journal May 2018
An Automated Quality Assessment and Control Algorithm for Surface Radiation Measurements journal April 2008
Summarizing multiple aspects of model performance in a single diagram journal April 2001

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