SOUTHEASTERN SOUTH AMERICA POSITICE MEAN PRECIPITATION TREND AND ITS DRIVERS

Figure number: Figure 10.12 From the IPCC Working Group I Contribution to the Sixth Assessment Report: Chapter 10

Description:

Southeastern South America positive mean precipitation trend and its drivers during 1951–2014. (a) Mechanisms that have been suggested to contribute to southeastern South America summer wetting. (b) Time series of austral summer (December to February) precipitation anomalies (%, baseline 1995– 2014) over the south-eastern South American region (26.25°S–38.75°S, 56.25°W–66.25°W), black quadrilateral in the first map of panel (c). Black, brown and green lines show low-pass filtered time series for CRU TS, and the members with driest and wettest trends of the MPI-ESM SMILE (between 1951–2014), respectively. The filter is the same as the one used in Figure 10.10. (c) Mean austral summer precipitation spatial linear 1951–2014 trends (mm per month and decade) from CRU TS and GPCC. Trends are estimated using ordinary least squares regression. (d) Distribution of precipitation 1951–2014 trends over southeastern South America from GPCC and CRU TS (black crosses), CMIP6 all-forcing historical (red circles) and MIROC6, CSIRO-Mk3-6-0, MPI-ESM and d4PDF SMILEs (grey box-and-whisker plots). Grey squares refer to ensemble mean trends of their respective SMILE and the red circle refers to the CMIP6 multi-model mean. Box-and-whisker plots follow the methodology used in Figure 10.6. Further details on data sources and processing are available in the chapter data table (Table 10.SM.11).

Author list:

• Jury, M.W.: BSC, Spain; martin.w.jury@gmail.com; githubid: mwjury
• Sörensson, A.A.: University of Buenos Aires, Argentina

Publication sources:

N/A

ESMValTool Branch:

• ESMValTool-AR6-OriginalCode-FinalFigures: ar6_chapter_10

ESMValCore Branch:

• ESMValCore-AR6-OriginalCode-FinalFigures: working_cordex_2.2

Recipe & diagnostics:

Recipe used: recipes/ar6_wgi_ch10/recipe_SESA.yml

Diagnostic used: diag_scripts/ar6_wgi_ch10/diagnostic_IPCC_AR6_CH10.py

Expected image path:

This is the path of the image relative to the automatically generated ESMValTool output location:

• recipe_SESA_YYYYMMDD_HHMMSS/plots/ch_10/fig_12/Fig_12.png

Recipe generations tools:

N/A

Ancillary figures and datasets:

N/A

Additional datasets:

N/A

Software description:

• ESMValTool environment file: IPCC_environments/ar6_chapter_10_conda_environment.yml
• pip file: IPCC_environments/ar6_chapter_10_pip_environment.txt

Hardware description:

Internal Wegener Center (University of Graz, Austria) machine wegc203128.

** The documentation was created by Chapter 10 Chapter Scientist Martin W. Jury (email: martin.w.jury@gmail.com, githubid: mwjury). Please, contact Martin in case any questions in documentation arise.