TY - JOUR
T1 - The E3SM Diagnostics Package (E3SM Diags v2.7)
T2 - a Python-based diagnostics package for Earth system model evaluation
AU - Zhang, Chengzhu
AU - Golaz, Jean Christophe
AU - Forsyth, Ryan
AU - Vo, Tom
AU - Xie, Shaocheng
AU - Shaheen, Zeshawn
AU - Potter, Gerald L.
AU - Asay-Davis, Xylar S.
AU - Zender, Charles S.
AU - Lin, Wuyin
AU - Chen, Chih Chieh
AU - Terai, Chris R.
AU - Mahajan, Salil
AU - Zhou, Tian
AU - Balaguru, Karthik
AU - Tang, Qi
AU - Tao, Cheng
AU - Zhang, Yuying
AU - Emmenegger, Todd
AU - Burrows, Susannah
AU - Ullrich, Paul A.
N1 - Publisher Copyright:
© 2022 Chengzhu Zhang et al.
PY - 2022/12/20
Y1 - 2022/12/20
N2 - The E3SM Diagnostics Package (E3SM Diags) is a modern, Python-based Earth system model (ESM) evaluation tool (with Python module name e3sm_diags), 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. E3SM Diags is modeled after the National Center for Atmospheric Research (NCAR) Atmosphere Model Working Group 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. 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.
AB - The E3SM Diagnostics Package (E3SM Diags) is a modern, Python-based Earth system model (ESM) evaluation tool (with Python module name e3sm_diags), 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. E3SM Diags is modeled after the National Center for Atmospheric Research (NCAR) Atmosphere Model Working Group 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. 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.
UR - https://www.scopus.com/pages/publications/85145567184
U2 - 10.5194/gmd-15-9031-2022
DO - 10.5194/gmd-15-9031-2022
M3 - Article
AN - SCOPUS:85145567184
SN - 1991-959X
VL - 15
SP - 9031
EP - 9056
JO - Geoscientific Model Development
JF - Geoscientific Model Development
IS - 24
ER -