ar7-wg1-fod-ch99-fig99-esmval

example, base on ar6 chapter3 figure4, https://github.com/IPCC-WG1/Chapter-3_Fig04

https://github.com/edsml-mh1123/ar7-wg1-fod-ch99-fig99-esmval

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 6 DOI reference(s) in README
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    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
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    Low similarity (13.0%) to scientific vocabulary
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Repository

example, base on ar6 chapter3 figure4, https://github.com/IPCC-WG1/Chapter-3_Fig04

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  • Host: GitHub
  • Owner: edsml-mh1123
  • License: apache-2.0
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Created 11 months ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

ANOMALY OF NERA-SURFACE AIR TEMPERATURE

DOI License: Apache 2.0 GitHub release

Figure number: Figure 3.4 From the IPCC Working Group I Contribution to the Sixth Assessment Report: Chapter 3

Figure 3.3

Contents

Description

Observed and simulated time series of the anomalies in annual and global mean near-surface air temperature (GSAT). All anomalies are differences from the 1850–1900 time-mean of each individual time series. The reference period 1850– 1900 is indicated by grey shading. (a) Single simulations from CMIP6 models (thin lines) and the multi-model mean (thick red line). Observational data (thick black lines) are HadCRUT5, and are blended surface temperature (2 m air temperature over land and sea surface temperature over the ocean). All models have been subsampled using the HadCRUT5 observational data mask. Vertical lines indicate large historical volcanic eruptions. CMIP6 models which are marked with an asterisk are either tuned to reproduce observed warming directly, or indirectly by tuning equilibrium climate sensitivity. Inset: GSAT for each model over the reference period, not masked to any observations. (b). Multi- model means of CMIP5 (blue line) and CMIP6 (red line) ensembles and associated 5 to 95 percentile ranges (shaded regions). Observational data are HadCRUT5, Berkeley Earth, NOAAGlobalTemp-Interim and Kadow et al. (2020). Masking was done as in (a). CMIP6 historical simulations are extended with SSP2-4.5 simulations for the period 2015-2020 and CMIP5 simulations are extended with RCP4.5 simulations for the period 2006-2020. All available ensemble members were used (see Section 3.2). The multi-model means and percentiles were calculated solely from simulations available for the whole time span (1850-2020).

Installation

ESMValTool can be installed in multiple ways. Please get more detailed information from the link below:

https://docs.esmvaltool.org/en/latest/quickstart/installation.html

Usage

(After installation, use the following commands or scripts to run the code. This section provides example usages and any necessary runtime arguments or configurations.)

Recipe used: recipes/ipccwg1ar6ch3/recipeipccwg1ar6ch3atmosphere.yml

Diagnostics used: - diagscripts/ipccar6/tas_anom.ncl - diagscripts/ipccar6/tslineblendcollect.ncl

Expected image path

  • recipeipccwg1ar6ch3atmosphereYYYYMMDDHHMMSS/plots/fig34cmip5/fig-3-4/gsatGlobalCMIP5historical-rcp45anom1850-2020.eps
  • recipeipccwg1ar6ch3atmosphereYYYYMMDDHHMMSS/plots/fig34cmip6/fig-3-4/gsatGlobalCMIP6historical-ssp245anom1850-2020.eps
  • recipeipccwg1ar6ch3atmosphereYYYYMMDDHHMMSS/plots/fig34collect/collect/gsatGlobalmultimodelanom_1850-2020.eps

Publication sources

Bock, L., Lauer, A., Schlund, M., Barreiro, M., Bellouin, N., Jones, C., Predoi, V., Meehl, G., Roberts, M., and Eyring, V.: Quantifying progress across different CMIP phases with the ESMValTool, Journal of Geophysical Research: Atmospheres, 125, e2019JD032321. https://doi.org/10.1029/2019JD032321

How to cite

If you use this repository or any of its contents in your work, please cite it appropriately.

Repository Citation

🟡 This repository includes a CITATION.cff file for citation. You can generate a citation in your preferred format using:

bash cffconvert --format bibtex

Figure Citation

If you use Figure 3.4 from the IPCC report included in this repository, please cite it as:

Figure 3.4 in IPCC, 2021: Chapter 3. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi: 10.1017/9781009157896.005 .]

Disclaimer

Please note that figures in this repository may differ from those in the published version due to the editorial process. The repository contains the latest available versions prior to publication.

Owner

  • Name: Mai Hong
  • Login: edsml-mh1123
  • Kind: user

@biu23

Citation (CITATION.cff)

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abstract: "ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP."

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cff-version: "1.0.3"
date-released: 2020-12-01
doi: "10.5281/zenodo.3401363"
license: "Apache-2.0"
message: "If you use this software, please cite it using these metadata."
repository-code: "https://github.com/ESMValGroup/ESMValTool/"
title: ESMValTool
version: "v2.1.1"
...

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