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Model Hierarchies for Understanding Atmospheric Circulation

Journal Article · · Reviews of Geophysics (1985)
DOI:https://doi.org/10.1029/2018rg000607· OSTI ID:1609286
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [10]
  1. Univ. of Exeter (United Kingdom); DOE/OSTI
  2. New York Univ. (NYU), NY (United States)
  3. National Center for Atmospheric Research, Boulder, CO (United States)
  4. McGill Univ., Montreal, QC (Canada)
  5. Univ. of New South Wales, Sydney, NSW (Australia)
  6. Columbia Univ., New York, NY (United States); Stanford Univ., CA (United States)
  7. Columbia Univ., New York, NY (United States); Columbia Univ., Palisades, NY (United States)
  8. Univ. of Exeter (United Kingdom)
  9. Columbia Univ., Palisades, NY (United States); Karlsruhe Inst. of Technology (KIT) (Germany)
  10. Univ. Complutense de Madrid (Spain)
+ Show Author Affiliations

In this review, we highlight the complementary relationship between simple and comprehensive models in addressing key scientific questions to describe Earth's atmospheric circulation. The systematic representation of models in steps, or hierarchies, connects our understanding from idealized systems to comprehensive models and ultimately the observed atmosphere. First, we define three interconnected principles that can be used to characterize the model hierarchies of the atmosphere. We explore the rich diversity within the governing equations in the dynamical hierarchy, the ability to isolate and understand atmospheric processes in the process hierarchy, and the importance of the physical domain and resolution in the hierarchy of scale. We center our discussion on the large-scale circulation of the atmosphere and its interaction with clouds and convection, focusing on areas where simple models have had a significant impact. Our confidence in climate model projections of the future is based on our efforts to ground the climate predictions in fundamental physical understanding. This understanding is, in part, possible due to the hierarchies of idealized models that afford the simplicity required for understanding complex systems.

Research Organization:
Univ.y Corporation for Atmospheric Research, Boulder, CO (United States)
Sponsoring Organization:
Natural Environment Research Council and Met Office ParaCon; National Science Foundation (NSF); USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); Natural Sciences and Engineering Research Council of Canada (NSERC); Canada Research Chair; Australian Research Council (ARC); Simons Foundation; German Federal Ministry of Education and Research (BMBF); Research for Sustainable Development (FONA); State Research Agency of Spain
Grant/Contract Number:
FC02-97ER62402
OSTI ID:
1609286
Journal Information:
Reviews of Geophysics (1985), Journal Name: Reviews of Geophysics (1985) Journal Issue: 2 Vol. 57; ISSN 8755-1209
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English

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Sahelian Precipitation Change Induced by SST Increase: The Contrasting Roles of Regional and Larger‐Scale Drivers journal October 2019
Imagining Simpler Worlds to Understand the Complexity of Our Own journal September 2019
Hierarchical Modeling of Solar System Planets with Isca journal December 2019
The Future of Midlatitude Cyclones text January 2019

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58 GEOSCIENCES
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