The E3SM Diagnostics Package (E3SM Diags v2.7): a Python-based diagnostics package for Earth system model evaluation
<p>The E3SM Diagnostics Package (E3SM Diags) is a modern, Python-based Earth system model (ESM) evaluation tool (with Python module name <code>e3sm_diags</code>), developed to support the Department of Energy (DOE) Energy Exascale Earth System Model (E3SM). E3SM Diags provides a wi...
Main Authors: | , , , , , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2022-12-01
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Series: | Geoscientific Model Development |
Online Access: | https://gmd.copernicus.org/articles/15/9031/2022/gmd-15-9031-2022.pdf |
Summary: | <p>The E3SM Diagnostics Package (E3SM Diags) is a modern, Python-based Earth system model (ESM) evaluation tool (with Python module name
<code>e3sm_diags</code>), developed to support the Department of Energy (DOE) Energy Exascale Earth System Model (E3SM). E3SM Diags provides a wide suite
of tools for evaluating native E3SM output, as well as ESM data on regular latitude–longitude grids, including output from Coupled Model
Intercomparison Project (CMIP) class models.</p>
<p>E3SM Diags is modeled after the National Center for Atmospheric Research (NCAR) Atmosphere Model Working Group <span class="cit" id="xref_paren.1">(<a href="#bib1.bibx2">AMWG</a>, <a href="#bib1.bibx2">2022</a>)</span> diagnostics
package. In its version 1 release, E3SM Diags included a set of core essential diagnostics to evaluate the mean physical climate from model
simulations. As of version 2.7, more process-oriented and phenomenon-based evaluation diagnostics have been implemented, such as analysis of the
quasi-biennial oscillation (QBO), the El Niño–Southern Oscillation (ENSO), streamflow, the diurnal cycle of precipitation, tropical cyclones, ozone and
aerosol properties. An in situ dataset from DOE's Atmospheric Radiation Measurement (ARM) program has been integrated into the package for
evaluating the representation of simulated cloud and precipitation processes.</p>
<p>This tool is designed with enough flexibility to allow for the addition of new observational datasets and new diagnostic algorithms. Additional
features include customizable figures; streamlined installation, configuration and execution; and multiprocessing for fast computation. The package
uses an up-to-date observational data repository maintained by its developers, where recent datasets are added to the repository as they become
available. Finally, several applications for the E3SM Diags module were introduced to fit a diverse set of use cases from the scientific community.</p> |
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ISSN: | 1991-959X 1991-9603 |