Academic Journal
A global climate model performance atlas for the southern hemisphere extratropics based on regional atmospheric circulation patterns
العنوان: | A global climate model performance atlas for the southern hemisphere extratropics based on regional atmospheric circulation patterns |
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المؤلفون: | Brands, Swen Franz, Fernández de la Granja, Juan Antonio, Bedía Jiménez, Joaquín, Casanueva Vicente, Ana, Fernández Fernández, Jesús (matemático) |
المساهمون: | Universidad de Cantabria |
المصدر: | Geophysical Research Letters, 2023, 50(10), e2023GL103531 |
بيانات النشر: | American Geophysical Union |
سنة النشر: | 2023 |
المجموعة: | Universidad de Cantabria: UCrea |
الوصف: | The performance of 61 global climate models participating in CMIP5 and 6 is evaluated for the Southern Hemisphere extratropics in terms of typical regional-scale atmospheric circulation patterns. These patterns are known to be linked with a number of key variables in atmospheric physics and chemistry and provide an overarching concept for model evaluation. First, hemispheric-wide error and ranking maps are provided for each model and regional details are described. Then, the results are compared with those obtained in a companion study for the Northern Hemisphere. For most models, the average error magnitude and ranking position is similar on both hemispheres, ruling out systematic tuning toward either of the two. CMIP6 models perform better on average than CMIP5 models and the interactive simulation of more climate system components does not deteriorate the results for most model families. Better performance is associated with higher resolution in the atmosphere, following a non-linear relationship. ; This research work was funded by the European Commission – Next-GenerationEU (Regulation EU 2020/2094), through CSIC's Interdis-ciplinary Thematic Platform Clima (PTI Clima)/Development of Oper-ational Climate Services and by the I+D+i project CORDyS (PID2020-116595RB-I00), funded by MCIN/AEI/10.13039/501100011033. J.A.F. acknowledges support from project ATLAS (PID2019-111481RB-I00), grant PRE2020-094728 funded by MCIN/AEI/10.13039/501100011033 and ESF investing in your future. A.C. acknowl-edges support from Project COMPOUND (TED2021-131334A-I00) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGener-ationEU/PRTR. S.B. would like to thank CESGA and AMTEGA for providing computational resources. The authors acknowledge the public availability of the CMIP datasets via the ESGF data portals, as well the free distribution of the ECMWF and JMA reanalysis products. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
تدمد: | 0094-8276 1944-8007 |
Relation: | PID2020-116595RB-I00; PID2019-111481RB-I00; TED2021-131334A-I00; https://hdl.handle.net/10902/29432 |
DOI: | 10.1029/2023GL103531 |
الاتاحة: | https://hdl.handle.net/10902/29432 https://doi.org/10.1029/2023GL103531 |
Rights: | Attribution 4.0 International ; http://creativecommons.org/licenses/by/4.0/ ; openAccess |
رقم الانضمام: | edsbas.D3DE52B8 |
قاعدة البيانات: | BASE |
تدمد: | 00948276 19448007 |
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DOI: | 10.1029/2023GL103531 |