Final Technical Report for Collaborative Research: Developing and Implementing Ocean-Atmosphere Reanalyses for Climate Applications (OARCA)

Technical Report · Tue Apr 17 04:00:00 EDT 2018

DOI:https://doi.org/10.2172/1433384· OSTI ID:1433384

Compo, Gilbert P. ^[1]; Sardeshmukh, Prashant D. ^[2]

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1. Univ. of Colorado, Boulder, CO (United States); University of Colorado at Boulder CIRES at NOAA Earth System Research Laboratory Physical Sciences Division
2. National Oceanic and Atmospheric Administration, Silver Springs, MD (United States)

As an important step toward a coupled data assimilation system for generating reanalysis fields needed to assess climate model projections, the Ocean Atmosphere Coupled Reanalysis for Climate Applications (OARCA) project assesses and improves the longest reanalyses currently available of the atmosphere and ocean: the 20th Century Reanalysis Project (20CR) and the Simple Ocean Data Assimilation with sparse observational input (SODAsi) system, respectively. In this project, we make off-line but coordinated improvements in the 20CR and SODAsi datasets, with improvements in one feeding into improvements of the other through an iterative generation of new versions. These datasets now span from the 19th to 21st centuries. We then study the extreme weather and variability from days to decades of the resulting datasets. A total of 24 publications have been produced in this project.

• Research Organization: Univ. of Colorado, Boulder, CO (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23). Climate and Environmental Sciences Division
• Contributing Organization: Texas A&M University; United Kingdom Met Office; Atmospheric Circulation Reconstructions over the Earth
• DOE Contract Number: SC0006966
• OSTI ID: 1433384
• Report Number(s): DOE-CIRES--6966
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
58 GEOSCIENCES
climate
climate change
climate variability
reanalysis
state estimation
synthesis
weather extremes