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Evaluation of Monin-Obukhov and Bulk Richardson Parameterizations for Surface-Atmosphere Exchange.

Authors :
LEE, TEMPLE R.
BUBAN, MICHAEL
Source :
Journal of Applied Meteorology & Climatology. Jun2020, Vol. 59 Issue 6, p1091-1107. 17p. 5 Charts, 10 Graphs, 1 Map.
Publication Year :
2020

Abstract

The Land-Atmosphere Feedback Experiment (LAFE) was a field campaign to investigate influences of different land surface types on the atmospheric boundary layer (ABL). The primary goals of LAFE were to better understand ABL development and structure and to improve turbulence parameterizations in numerical weather prediction models. Three 10-m micrometeorological towers were installed over different land surface types (i.e., early growth soybean, native grassland, and mature soybean) along a 1.7-km southwest-northeast-oriented line. All towers measured standard meteorological variables in addition to heat, moisture, and momentum fluxes. In this study, we used these measurements to evaluate the validity of applying Monin-Obukhov similarity theory (MOST) to represent surface-atmosphere exchange over different land surface types. We investigated relationships between stability length z and the dimensionlesswind shear fm, temperature gradient fh, and moisture gradient fq as well as relationships between bulk Richardson number Rib, friction coefficient Cu, heat-transfer coefficient Ct, and moisture-transfer coefficient Cr. We evaluated the new similarity functions developed using independent datasets obtained during the Verification of theOrigins of Rotation in Tornadoes Experiment-Southeast (VORTEX-SE). We found that using the Rib functions rather than themore traditional z functions to computewind, temperature, andmoisture yielded better agreementwith the VORTEX-SE observations. These findings underscore limitations in MOST and motivate the need to consider modifying the functional forms of the similarity equations that form the basis for surface-layer parameterizations in numerical weather prediction models. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15588424
Volume :
59
Issue :
6
Database :
Academic Search Index
Journal :
Journal of Applied Meteorology & Climatology
Publication Type :
Academic Journal
Accession number :
145396904
Full Text :
https://doi.org/10.1175/JAMC-D-19-0057.1