Preprints
https://doi.org/10.5194/gmd-2021-350
https://doi.org/10.5194/gmd-2021-350

Submitted as: methods for assessment of models 02 Dec 2021

Submitted as: methods for assessment of models | 02 Dec 2021

Review status: this preprint is currently under review for the journal GMD.

Earth System Model Aerosol-Cloud Diagnostics Package (ESMAC Diags) Version 1: Assessing E3SM Aerosol Predictions Using Aircraft, Ship, and Surface Measurements

Shuaiqi Tang1, Jerome D. Fast1, Kai Zhang1, Joseph C. Hardin2, Adam C. Varble1, John E. Shilling1, Fan Mei1, Maria A. Zawadowicz3, and Po-Lun Ma1 Shuaiqi Tang et al.
  • 1Pacific Northwest National Laboratory, Richland, WA, USA
  • 2ClimateAI Inc, San Francisco, CA, USA
  • 3Brookhaven National Laboratory, Upton, NY, USA

Abstract. An Earth System Model (ESM) aerosol-cloud diagnostics package is developed to facilitate the routine evaluation of aerosols, clouds and aerosol-cloud interactions simulated by the Department of Energy’s (DOE) Energy Exascale Earth System Model (E3SM). The first version focuses on comparing simulated aerosol properties with aircraft, ship, and surface measurements, most of them are measured in-situ. The diagnostics currently covers six field campaigns in four geographical regions: Eastern North Atlantic (ENA), Central U.S. (CUS), Northeastern Pacific (NEP) and Southern Ocean (SO). These regions produce frequent liquid or mixed-phase clouds with extensive measurements available from the Atmospheric Radiation Measurement (ARM) program and other agencies. Various types of diagnostics and metrics are performed for aerosol number, size distribution, chemical composition, CCN concentration and various meteorological quantities to assess how well E3SM represents observed aerosol properties across spatial scales. Overall, E3SM qualitatively reproduces the observed aerosol number concentration, size distribution and chemical composition reasonably well, but underestimates Aitken mode and overestimates accumulation mode aerosols over the CUS region, and underestimates aerosol number concentration over the SO region. The current version of E3SM struggles to reproduce new particle formation events frequently observed over both the CUS and ENA regions, indicating missing processes in current parameterizations. The diagnostics package is coded and organized in a way that can be easily extended to other field campaign datasets and adapted to higher-resolution model simulations. Future releases will include comprehensive cloud and aerosol-cloud interaction diagnostics.

Shuaiqi Tang et al.

Status: open (until 02 Mar 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-350', Gijs van den Oord, 05 Jan 2022 reply

Shuaiqi Tang et al.

Data sets

ESMAC Diags code Tang, Shuaiqi; Fast, Jerome D.; Joseph C. Hardin https://doi.org/10.5281/zenodo.5733233

ESMAC Diags Data Tang, Shuaiqi; Fast, Jerome D.; Zhang, Kai; Joseph C. Hardin; Varble, Adam C.; Shilling, John E.; Mei, Fan; Zawadowicz, Maria A.; Ma, Po-Lun https://doi.org/10.5281/zenodo.5669136

Model code and software

ESM aerosol-cloud diagnostics Tang, Shuaiqi; Joseph C. Hardin https://github.com/eagles-project/ESMAC_diags/releases/tag/v1.0.0-alpha

Shuaiqi Tang et al.

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Short summary
We developed an Earth System Model (ESM) diagnostics package to compare various types of aerosol properties simulated in ESMs with aircraft, ship, and surface measurements from six field campaigns across spatial scales. The diagnostics package is coded and organized in a way that can be easily extended to other field campaign datasets and adapted to higher-resolution model simulations. Future releases will include comprehensive cloud and aerosol-cloud interaction diagnostics.