Abstract

An ensemble Kalman filter reanalysis has been archived in the Research Data Archive at the National Center for Atmospheric Research. It used a CAM6 configuration of the Community Earth System Model (CESM), several million observations per day, and the Data Assimilation Research Testbed (DART). The data saved from this global, sim 1^circ resolution, 80 member ensemble span 2011–2019. They include ensembles of: sub-daily, real world, atmospheric forcing for use by all of the nonatmospheric models of CESM; weekly, CAM6, restart file sets; 6 hourly, prior hindcast estimates of the assimilated observations; 6 hourly, land model, plant growth variables, and 6 hourly, ensemble mean, gridded, atmospheric analyses. This data can be used for hindcast studies and data assimilation using component models of CESM; CAM6, CLM5, CICE5, POP2. MOM6, MOSART, and CISM; and non-CESM Earth system models. This large dataset (~ 120 Tb) has a unique combination of a large ensemble, high frequency, and multiyear time span, which provides opportunities for robust statistical analysis and use as a machine learning training dataset.

Highlights

  • An ensemble Kalman filter reanalysis has been archived in the Research Data Archive at the National Center for Atmospheric Research

  • The reanalyses created by the Data Assimilation Research ­Testbed4,5 (DART) use an 80 member ensemble of similar hindcasts, which leverages the power of statistics to give a more comprehensive estimate than a single hindcast can provide

  • The first motivation for the creation of this dataset was to provide that forcing in the context of an Earth system modeling framework, in which the atmospheric forcing can be applied to the nonatmospheric components consistently and conveniently

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Summary

Methods

Given the major anticipated uses of these products in CESM and DART contexts, the data organization and description are motivated by the files created and used by those packages, instead of by the individual fields which may interest some researchers. Many files contain a large number of variables which only have meaning in the context of CESM or DART, so this Data Description will not describe those. They are intended to be used, but not evaluated out of context. DART and CESM are both software environments which have been developed to provide flexible and effective use of these products They include user support in the forms of online and embedded documentation, tutorials, and issue forums. The mode of each component is defined by a “compset”

Mode Active Active Active Data Active Stub Stub
Inflation standard deviation lower bound
Reject observations having a quality control value larger than this
Abbreviated type of file
REFRACTIVITY X X X assim X X X X
Root mean square error
Technical validation
Author contributions
Additional information
Full Text
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