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Title: Moist Process Biases in Simulations of the Madden–Julian Oscillation Episodes Observed during the AMIE/DYNAMO Field Campaign

Two Madden-Julian Oscillation (MJO) episodes observed during the 2011 AMIE/DYNAMO field campaign are simulated using a regional cloud-permitting model, a regional model with various cumulus parameterizations, and a global variable-resolution model with a high-resolution region centered over the tropical Indian Ocean. Model biases associated with moisture mode instability, wind-induced surface heat exchange (WISHE), and convective momentum transport (CMT) are examined and their relative contributions to the overall model errors are quantified using a linear statistical model. Linear relationships are found among the normalized root mean square errors of precipitation, saturation fraction, evaporation, and surface wind speed suggesting that errors may propagate across the processes involving these variables. Analysis using a linear statistical model shows the relationship between convection and local surface wind speed (related to CMT processes) is the source of the largest uncertainty. In comparison, WISHE processes in the simulations tend to be biased consistently, with excess evaporation for the same wind speeds as the observations, which suggests they are likely related to biases in boundary layer and/or surface schemes. The relationship between precipitation and saturation fraction (which is associated with moisture mode instability) is captured relatively well with slightly larger model precipitation in the simulations in comparison tomore » observations for the same saturation fraction, especially for weak rain rates. By linking developments in theoretical understanding of MJO processes and cumulus parameterizations, this study provides guidance to future improvements of MJO simulation by in high-resolution regional and global models.« less
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Publication Date:
OSTI Identifier:
Report Number(s):
Journal ID: ISSN 0894-8755; KP1701000
DOE Contract Number:
Resource Type:
Journal Article
Resource Relation:
Journal Name: Journal of Climate; Journal Volume: 29; Journal Issue: 3
American Meteorological Society
Research Org:
Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
Sponsoring Org:
Country of Publication:
United States