Assessing the Dynamic Versus Thermodynamic Origin of Climate Model Biases
Global climate models present systematic biases, among others, a tendency to overestimate hot and dry summers in midlatitude regions. Here we investigate the origin of such biases in the Community Earth System Model. To disentangle the contribution of dynamics and thermodynamics, we perform simulati...
Veröffentlicht in: | Geophysical research letters. - 1984. - 45(2018), 16 vom: 28. Aug., Seite 8471-8479 |
---|---|
1. Verfasser: | |
Weitere Verfasser: | , , , |
Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2018
|
Zugriff auf das übergeordnete Werk: | Geophysical research letters |
Schlagworte: | Journal Article Earth system models atmospheric nudging climate model biases dynamics versus thermodynamics global climate models systematic biases |
Zusammenfassung: | Global climate models present systematic biases, among others, a tendency to overestimate hot and dry summers in midlatitude regions. Here we investigate the origin of such biases in the Community Earth System Model. To disentangle the contribution of dynamics and thermodynamics, we perform simulations that include nudging of horizontal wind and compare them to simulations with a free atmosphere. Prescribing the observed large-scale circulation improves the modeled weather patterns as well as many related fields. However, the larger part of the temperature and precipitation biases of the free atmosphere configuration remains after nudging, in particular, for extremes. Our results suggest that thermodynamical processes, including land-atmosphere coupling and atmospheric parameterizations, drive the errors present in Community Earth System Model. Our result may apply to other climate models and highlight the importance of distinguishing thermodynamic and dynamic sources of biases in present-day global climate models |
---|---|
Beschreibung: | Date Revised 11.10.2023 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
ISSN: | 0094-8276 |
DOI: | 10.1029/2018GL079220 |