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    How can we use MODIS land surface temperature to validate long-term urban model simulations?

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    Brunsell_2014_MODIS.pdf (2.888Mb)
    Issue Date
    2014-03-27
    Author
    Hu, Leiqiu
    Brunsell, Nathaniel A.
    Monaghan, Andrew J.
    Barlage, Michael
    Wilhelmi, Olga V.
    Publisher
    American Geophysical Union
    Type
    Article
    Article Version
    Scholarly/refereed, author accepted manuscript
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    Abstract
    High spatial resolution urban climate modeling is essential for understanding urban climatology and predicting the human health impacts under climate change. Satellite thermal remote-sensing data are potential observational sources for urban climate model validation with comparable spatial scales, temporal consistency, broad coverage, and long-term archives. However, sensor view angle, cloud distribution, and cloud-contaminated pixels can confound comparisons between satellite land surface temperature (LST) and modeled surface radiometric temperature. The impacts of sensor view angles on urban LST values are investigated and addressed. Three methods to minimize the confounding factors of clouds are proposed and evaluated using 10years of Moderate Resolution Imaging Spectroradiometer (MODIS) data and simulations from the High-Resolution Land Data Assimilation System (HRLDAS) over Greater Houston, Texas, U.S. For the satellite cloud mask (SCM) method, prior to comparison, the cloud mask for each MODIS scene is applied to its concurrent HRLDAS simulation. For the max/min temperature (MMT) method, the 50 warmest days and coolest nights for each data set are selected and compared to avoid cloud impacts. For the high clear-sky fraction (HCF) method, only those MODIS scenes that have a high percentage of clear-sky pixels are compared. The SCM method is recommended for validation of long-term simulations because it provides the largest sample size as well as temporal consistency with the simulations. The MMT method is best for comparison at the extremes. And the HCF method gives the best absolute temperature comparison due to the spatial and temporal consistency between simulations and observations.
    Description
    This is the authors accepted manuscript. The published version is available here: http://dx.doi.org/10.1002/2013JD021101.
    URI
    http://hdl.handle.net/1808/15959
    DOI
    https://doi.org/10.1002/2013JD021101
    Collections
    • Geography & Atmospheric Science Scholarly Works [201]
    Citation
    Hu, L., N. A. Brunsell, A. J. Monaghan, M. Barlage, and O. V. Wilhelmi (2014), How can we use MODIS land surface temperature to validate long-term urban model simulations?, J. Geophys. Res. Atmos., 119, 3185–3201, http://dx.doi.org/10.1002/2013JD021101.

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    KU Libraries
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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