---
code_id: 95418
site_ownership_code: "LLNL"
open_source: true
repository_link: "https://github.com/LLNL/MDAS"
project_type: "OS"
software_type: "S"
official_use_only: {}
developers:
- email: ""
  orcid: ""
  first_name: "Stephen"
  last_name: "Po-Chedley"
  middle_name: "D"
  affiliations:
  - "Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)"
contributors: []
sponsoring_organizations:
- organization_name: "USDOE National Nuclear Security Administration (NNSA)"
  funding_identifiers: []
  primary_award: "AC52-07NA27344"
  DOE: true
contributing_organizations: []
research_organizations:
- organization_name: "Lawrence Livermore National Laboratory (LLNL), Livermore, CA\
    \ (United States)"
  DOE: true
related_identifiers: []
award_dois: []
release_date: "2022-08-30"
software_title: "MSU Disentanglement Analysis Software"
acronym: "MDAS"
doi: "https://doi.org/10.11578/dc.20221017.3"
description: "This software is used to disentangle the forced-versus-unforced components\
  \ of tropospheric temperature change over the satellite era (after 1979) using maps\
  \ of surface temperature change as a predictor. In general, the software assembles\
  \ training datasets (from pre-computed surface temperature trend maps and domain\
  \ averaged tropospheric warming rates), trains statistical/machine learning (ML)\
  \ algorithms, applies the trained statistical/ML model to climate model data and\
  \ observations, and then saves the results. A leave-one-out approach is used in\
  \ which the statistical/ML models are iteratively trained on (N- 1) climate model\
  \ and then applied to the remaining climate model (and observations). Each model\
  \ includes a large ensemble (i.e., >10) of model simulations. The software relies\
  \ on scikit-learn ridge regression, PLS regression, and neural network algorithms."
programming_languages: []
version_number: "0.1"
country_of_origin: "United States"
project_keywords: []
licenses:
- "MIT License"
recipient_org: "S&T/PLS"
site_accession_number: "LLNL-CODE-840617"
date_record_added: "2022-10-17"
date_record_updated: "2022-10-17"
is_file_certified: false
last_editor: "wasim1@llnl.gov"
is_limited: false
links:
- rel: "citation"
  href: "https://www.osti.gov/doecode/biblio/95418"