On the efficacy of Monin-Obukhov and bulk Richardson surface-layer parameterizations over drylands
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On the efficacy of Monin-Obukhov and bulk Richardson surface-layer parameterizations over drylands

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  • Journal Title:
    Journal of Applied Meteorology and Climatology
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  • Description:
    Surface-layer parameterizations for heat, mass, momentum, and turbulence exchange are a critical component of the land surface models (LSMs) used in weather prediction and climate models. Although formulations derived from Monin-Obukhov Similarity Theory (MOST) have long been used, bulk Richardson (Rib) parameterizations have recently been suggested as a MOST alternative but have been evaluated over a limited number of land cover and climate types. Examining the parameterizations’ applicability over other regions, particularly drylands that cover approximately 41% of terrestrial land surfaces, is a critical step toward implementing the parameterizations into LSMs. One year (1 January through 31 December 2018) of eddy covariance measurements from a 10-m tower in southeastern Arizona and a 200-m tower in western Texas were used to determine how well the Rib parameterizations for friction velocity (u*), sensible heat flux (H), and turbulent kinetic energy (TKE) compare against MOST-derived parameterizations of these quantities. Independent of stability, wind speed regime, and season, the Rib u* and TKE parameterizations performed better than the MOST parameterizations, whereas MOST better represented H. Observations from the 200-m tower indicated that the parameterizations’ performance degraded as a function of height above ground. Overall, the Rib parameterizations revealed promising results, confirming better performance than traditional MOST relationships for kinematic (i.e., u*) and turbulence (i.e., TKE) quantities, although caution is needed when applying the H Rib parameterizations to drylands. These findings represent an important milestone for the use of Rib parameterizations, given the large fraction of Earth’s surface covered by drylands.
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    Journal of Applied Meteorology and Climatology (2023)
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  • ISSN:
    1558-8424;1558-8432;
  • Publisher:
    American Meteorological Society
  • Document Type:
    Journal Article
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    Other
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    Library
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