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Title: Spectral characteristics of background error covariance and multiscale data assimilation

Journal Article · · International Journal for Numerical Methods in Fluids
DOI:https://doi.org/10.1002/fld.4253· OSTI ID:1339843
 [1];  [2]; ORCiD logo [3];  [4]
  1. Jet Propulsion Laboratory, California Institute of Technology, Pasadena California USA
  2. The Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles California USA
  3. Pacific Northwest National Laboratory, Richland Washington USA
  4. Brookhaven National Laboratory, Upton New York USA

The spatial resolutions of numerical atmospheric and oceanic circulation models have steadily increased over the past decades. Horizontal grid spacing down to the order of 1 km is now often used to resolve cloud systems in the atmosphere and sub-mesoscale circulation systems in the ocean. These fine resolution models encompass a wide range of temporal and spatial scales, across which dynamical and statistical properties vary. In particular, dynamic flow systems for small scales can become spatially localized and temporarily intermittent. An analysis shows that the background correlation length scale is larger than 75 km for streamfunctions, even for a 2-km resolution model, and larger than 25 km for water vapor mixing ratios. The theoretical analyses suggest that such correlation length scales prevent the currently used data assimilation schemes from constraining spatial scales smaller than 150 km for streamfunctions and 50 km for water vapor mixing ratios. These results highlight the necessity of fundamentally modifying the currently used data assimilation algorithm for assimilating high-resolution observations into the aforementioned fine resolution models. A multiscale methodology based on scale decomposition is suggested, and challenges are discussed.

Research Organization:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-76RL01830
OSTI ID:
1339843
Report Number(s):
PNNL-SA-115060; KP1704010
Journal Information:
International Journal for Numerical Methods in Fluids, Vol. 82, Issue 12; ISSN 0271-2091
Publisher:
Wiley
Country of Publication:
United States
Language:
English

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