Evaluating a New Deposition Velocity Module in the Noah Land-Surface Model

U. Charusombat, D. Niyogi*, A. Kumar, X. Wang, F. Chen, A. Guenther, A. Turnipseed, K. Alapaty

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

19 Citations (Scopus)

Abstract

The community Noah land-surface model (Noah LSM) has been modified to couple with a photosynthesis-transpiration scheme (GEM) to estimate the deposition velocity (Vd) for air quality studies. This new capability of the Noah-GEM model was tested in a point version of the National Center for Atmospheric Research-High Resolution Land Data Assimilation System (HRLDAS). Ozone Vd observations from June 1-30, 2002 over the AmeriFlux forested site located at Niwot Ridge, Colorado, USA (40°1′58′′N;105°32′47′′W) were used. The model reasonably captures Vd variations for both dry and wet conditions but has problems at nighttime. Experiments were performed to assess the sensitivity of Vd calculations to surface characteristics related to vegetation and soil parameters. The results indicated that Vd values are sensitive to accurate specifications of the leaf area index (LAI) and a lesser extent to vegetation type, maximum stomatal resistance (Rsmax) and soil texture prescription. The model sensitivity to canopy resistance was noted for both daytime and nighttime. For this forest site, neither soil textures nor soil moisture appeared to affect Vd calculations significantly, though they affected the surface heat-flux estimation particularly under low soil moisture conditions. Therefore, the Vd estimation in the Noah model can be enhanced by either site-specific LAI or assimilating regional normal difference vegetation index information for specific time periods. Results also highlighted the need to lower the current constant Rsmax value used in Noah and other land-surface models.

Original languageEnglish
Pages (from-to)271-290
Number of pages20
JournalBoundary-Layer Meteorology
Volume137
Issue number2
DOIs
Publication statusPublished - 2010
Externally publishedYes

Keywords

  • Air quality
  • Deposition velocity
  • Land data assimilation system
  • Noah land-surface model

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