Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
doi:10.5194/gmd-2017-13
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Model evaluation paper
25 Jan 2017
Review status
This discussion paper is under review for the journal Geoscientific Model Development (GMD).
Linkages between land initialization of the NASA-Unified WRF v7 and biogenic isoprene emission estimates during the SEAC4RS and DISCOVER-AQ airborne campaigns
Min Huang1,2, Gregory R. Carmichael3, James H. Crawford4, Armin Wisthaler5,6, Xiwu Zhan7, Christopher R. Hain2,a, Pius Lee8, and Alex B. Guenther9 1George Mason University, Fairfax, VA, USA
2University of Maryland, College Park, MD, USA
3University of Iowa, Iowa City, IA, USA
4NASA Langley Research Center, Hampton, VA, USA
5University of Oslo, Oslo, Norway
6University of Innsbruck, Innsbruck, Austria
7NOAA National Environmental Satellite, Data, and Information Service, College Park, MD, USA
8NOAA Air Resources Laboratory, College Park, MD, USA
9University of California, Irvine, CA, USA
anow at: NASA Marsh all Space Flight Center, Huntsville, AL, USA
Abstract. Land and atmospheric initial conditions of the Weather Research and Forecasting (WRF) model are often interpolated from a different model output. We perform case studies during NASA's SEAC4RS and DISCOVER-AQ Houston airborne campaigns, demonstrating that initializing the Noah land surface model directly using a coarser resolution dataset North American Regional Reanalysis (NARR) led to significant positive biases in the coupled NASA-Unified WRF (NUWRF, version 7)'s (near-) surface air temperature and planetary boundary layer height (PBLH) around the Missouri Ozarks and Houston, Texas, as well as poorly partitioned latent and sensible heat fluxes. Replacing the land initial conditions with the output from a long-term offline Land Information System (LIS) simulation can effectively reduce the positive biases in NUWRF's surface air temperature fields by ~ 2 °C. We also show that the LIS land initialization can modify the surface air temperature errors almost ten times as effectively as applying a different atmospheric initialization method. The LIS-NUWRF based isoprene emission calculations by the Model of Emissions of Gases and Aerosols from Nature (MEGAN, version 2.1) are at least 20 % lower than those computed using the NARR-initialized NUWRF run, and are closer to the aircraft observation-derived emissions. Higher resolution MEGAN calculations are prone to amplified errors on small scales, possibly resulted from some limitations of MEGAN's parameterization and its inputs' uncertainty. This study emphasizes the importance of proper land initialization to the coupled atmospheric weather modeling and the follow-on emission modeling, which we anticipate to be also critical to accurately representing other processes included in air quality modeling and chemical data assimilation. Having more confidence in the weather inputs is also beneficial for determining and quantifying the other sources of uncertainties (e.g., parameterization, other input data) of the models that they drive.

Citation: Huang, M., Carmichael, G. R., Crawford, J. H., Wisthaler, A., Zhan, X., Hain, C. R., Lee, P., and Guenther, A. B.: Linkages between land initialization of the NASA-Unified WRF v7 and biogenic isoprene emission estimates during the SEAC4RS and DISCOVER-AQ airborne campaigns, Geosci. Model Dev. Discuss., doi:10.5194/gmd-2017-13, in review, 2017.
Min Huang et al.
Min Huang et al.
Min Huang et al.

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Short summary
Various sensitivity simulations during two airborne campaigns were performed to assess the impact of land/atmospheric initialization methods and model resolutions on NUWRF-modeled weather states, heat fluxes, and the follow-on MEGAN isoprene emission calculations. Proper land initialization is shown to be important to the coupled weather modeling and the follow-on emission modeling, which would be also critical to accurately representing other processes in air quality modeling/assimilation.
Various sensitivity simulations during two airborne campaigns were performed to assess the...
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