Editorial Type:
Article
Article Type:
Research Article

Retrieval of Hourly Records of Surface Hydrometeorological Variables Using Satellite Remote Sensing Data

Sanaz Moghim School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia

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Andrew Jay Bowen Department of Civil and Environmental Engineering, University of California, Irvine, Irvine, California

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Sepideh Sarachi Department of Civil and Environmental Engineering, University of California, Irvine, Irvine, California

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Jingfeng Wang School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia

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Print Publication:
01 Feb 2015
DOI:
https://doi.org/10.1175/JHM-D-13-0127.1
Page(s):
147–157
Restricted access

Abstract

A new algorithm is formulated for retrieving hourly time series of surface hydrometeorological variables including net radiation, sensible heat flux, and near-surface air temperature aided by hourly visible images from the Geostationary Operational Environmental Satellite (GOES) and in situ observations of mean daily air temperature. The algorithm is based on two unconventional, recently developed methods: the maximum entropy production model of surface heat fluxes and the half-order derivative–integral model that has been tested previously. The close agreement between the retrieved hourly variables using remotely sensed input and the corresponding field observations indicates that this algorithm is an effective tool in remote sensing of the earth system.

Corresponding author address: Sanaz Moghim, Georgia Institute of Technology, 311 Ferst Dr., Atlanta, GA 30332. E-mail: smoghim@gatech.edu

Abstract

A new algorithm is formulated for retrieving hourly time series of surface hydrometeorological variables including net radiation, sensible heat flux, and near-surface air temperature aided by hourly visible images from the Geostationary Operational Environmental Satellite (GOES) and in situ observations of mean daily air temperature. The algorithm is based on two unconventional, recently developed methods: the maximum entropy production model of surface heat fluxes and the half-order derivative–integral model that has been tested previously. The close agreement between the retrieved hourly variables using remotely sensed input and the corresponding field observations indicates that this algorithm is an effective tool in remote sensing of the earth system.

Corresponding author address: Sanaz Moghim, Georgia Institute of Technology, 311 Ferst Dr., Atlanta, GA 30332. E-mail: smoghim@gatech.edu
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Journal of Hydrometeorology

  • Bárdossy, A., and Caspary H. J. , 1990: Detection of climate change in Europe by analyzing European atmospheric circulation patterns from 1881 to 1989. Theor. Appl. Climatol., 42, 155–167, doi:10.1007/BF00866871.

    • Search Google Scholar
    • Export Citation

  • Bennett, W. B., Wang J. , and Bras R. L. , 2008: Estimation of global ground heat flux. J. Hydrometeor., 9, 744–759, doi:10.1175/2008JHM940.1.

    • Search Google Scholar
    • Export Citation

  • Bisht, G., and Bras R. L. , 2010: Estimation of net radiation from the MODIS data under all sky conditions: Southern Great Plains case study. Remote Sens. Environ., 114, 1522–1534, doi:10.1016/j.rse.2010.02.007.

    • Search Google Scholar
    • Export Citation

  • Bisht, G., Venturini V. , Islam S. , and Jiang L. , 2005: Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear sky days. Remote Sens. Environ., 97, 52–67, doi:10.1016/j.rse.2005.03.014.

    • Search Google Scholar
    • Export Citation

  • Boisvenue, C., and Running S. W. , 2006: Impacts of climate change on natural forest productivity evidence since the middle of the 20th century. Global Change Biol., 12, 862–882, doi:10.1111/j.1365-2486.2006.01134.x.

    • Search Google Scholar
    • Export Citation

  • Brunt, D., 1939: Physical and Dynamical Meteorology. Cambridge University Press, 454 pp.

  • Brutsaert, W., 1975: On a derivable formula for long-wave radiation from clear skies. Water Resour. Res., 11, 742–744, doi:10.1029/WR011i005p00742.

    • Search Google Scholar
    • Export Citation

  • Brutsaert, W., 1982: Evaporation into the Atmosphere: Theory, History and Applications. Kluwer Academic, 299 pp.

  • Burger, G., 1996: Expanded downscaling for generating local weather scenarios. Climate Res., 7, 111–128, doi:10.3354/cr007111.

  • Corte-Real, J., Qian B. , and Xu H. , 1999: Circulation patterns, daily precipitation in Portugal and implications for climate change simulated by the second Hadley Centre GCM. Climate Dyn., 15, 921–935, doi:10.1007/s003820050322.

    • Search Google Scholar
    • Export Citation

  • Crane, R. G., and Hewitson B. C. , 1998: Doubled CO2 precipitation changes for the Susquehanna basin: Down-scaling from the Genesis general circulation model. Int. J. Climatol., 18, 65–76, doi:10.1002/(SICI)1097-0088(199801)18:1<65::AID-JOC222>3.0.CO;2-9.

    • Search Google Scholar
    • Export Citation

  • de Goncalves, L. G. G., Restrepo-Coupe N. , da Rocha H. R. , Saleska S. R. , and Stockli R. , 2013: LBA-ECO CD-32 LBA Model Intercomparison Project (LBA-MIP) forcing data. Oak Ridge National Laboratory Distributed Active Archive Center Dataset. [Available online at http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1177.]

  • Diak, G. R., and Gautier C. , 1983: Improvements to a simple physical model for estimating insolation from goes data. J. Climate Appl. Meteor., 22, 505–508, doi:10.1175/1520-0450(1983)022<0505:ITASPM>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Dickinson, R. E., Henderson-Sellers A. , Kennedy P. J. , and Wilson M. F. , 1986: Biosphere–Atmosphere Transfer Scheme (BATS) for the Community Climate Model. NCAR Tech. Note NCAR/TN-275+STR, 72 pp., doi:10.5065/D6668B58.

  • Emmerich, W. E., and Verdugo C. L. , 2008: Long-term carbon dioxide and water flux database, Walnut Gulch Experimental Watershed, Arizona, United States. Water Resour. Res., 44, W05S09, doi:10.1029/2006WR005693.

    • Search Google Scholar
    • Export Citation

  • Fowler, H. J., Kilsby C. G. , and O’Connell P. E. , 2000: A stochastic rainfall model for the assessment of regional water resource systems under changed climatic condition. Hydrol. Earth Syst. Sci., 4, 263–281, doi:10.5194/hess-4-263-2000.

    • Search Google Scholar
    • Export Citation

  • Fowler, H. J., Blenkinsop S. , and Tebaldi C. , 2007: Linking climate change modelling to impacts studies: Recent advances in downscaling techniques for hydrological modelling. Int. J. Climatol., 27, 1547–1578, doi:10.1002/joc.1556.

    • Search Google Scholar
    • Export Citation

  • Georgakakos, A. P., Yao H. , Mullusky M. G. , and Georgakakos K. P. , 1998: Impacts of climate variability on the operational forecast and management of the upper Des Moines River basin. Water Resour. Res., 34, 799–821, doi:10.1029/97WR03135.

    • Search Google Scholar
    • Export Citation

  • Georgakakos, A. P., Yao H. , Kistenmacher M. , Georgakakos K. P. , Graham N. E. , Cheng F. Y. , Spencer C. , and Shamir E. , 2012: Value of adaptive water resources management in Northern California under climatic variability and change: Reservoir management. J. Hydrol., 412–413, 34–46, doi:10.1016/j.jhydrol.2011.04.038.

    • Search Google Scholar
    • Export Citation

  • Giorgi, F., and Coauthors, 2001: Regional climate information—Evaluation and projections. Climate Change 2001: The Scientific Basis, J. T. Houghton et al., Eds., Cambridge University Press, 583–638.

  • Hay, L. E., 1991: Simulation of precipitation by weather type analysis. Water Resour. Res., 27, 493–501, doi:10.1029/90WR02650.

  • Hay, L. E., and Clark M. P. , 2003: Use of statistically and dynamically downscaled atmospheric model output for hydrologic simulations in three mountainous basins in the western United States. J. Hydrol., 282, 56–75, doi:10.1016/S0022-1694(03)00252-X.

    • Search Google Scholar
    • Export Citation

  • Hidalgo, H. G., Dettinger M. D. , and Cayan D. R. , 2008: Downscaling with constructed analogues: Daily precipitation and temperature fields over the United States. CEC PIER Project Rep. CEC-500-2007-123, 48 pp. [Available online at www.energy.ca.gov/2007publications/CEC-500-2007-123/CEC-500-2007-123.PDF.]

  • Huth, R., 2002: Statistical downscaling of daily temperature in central Europe. J. Climate, 15, 1731–1742, doi:10.1175/1520-0442(2002)015<1731:SDODTI>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Idso, S. B., 1981: A set of equations for full spectrum and 8- to 14-mm and 10.5- to 12.5-mm thermal radiation from cloudless skies. Water Resour. Res., 17, 295–304, doi:10.1029/WR017i002p00295.

    • Search Google Scholar
    • Export Citation

  • Jones, P. D., Hulme M. , and Briffa K. R. , 1993: A comparison of Lamb circulation types with an objective classification scheme. Int. J. Climatol., 13, 655–663, doi:10.1002/joc.3370130606.

    • Search Google Scholar
    • Export Citation

  • Jones, P. G., Thornton P. K. , and Heinke J. , 2009: Generating characteristic daily weather data using downscaled climate model data from the IPCC’s Fourth Assessment. Project Rep., International Livestock Research Institute, Nairobi, Kenya, 19 pp. [Available online at https://cgspace.cgiar.org/handle/10568/2482.]

  • Katz, R. W., 1996: Use of conditional stochastic models to generate climate change scenarios. Climatic Change, 32, 237–255, doi:10.1007/BF00142464.

    • Search Google Scholar
    • Export Citation

  • Katz, R. W., Parlange M. B. , and Naveau P. , 2002: Statistics of extremes in hydrology. Adv. Water Resour., 25, 1287–1304, doi:10.1016/S0309-1708(02)00056-8.

    • Search Google Scholar
    • Export Citation

  • Kidson, J. W., 2000: An analysis of New Zealand synoptic types and their use in defining weather regimes. Int. J. Climatol., 20, 299–316, doi:10.1002/(SICI)1097-0088(20000315)20:3<299::AID-JOC474>3.0.CO;2-B.

    • Search Google Scholar
    • Export Citation

  • Kilsby, C. G., Cowpertwait P. S. P. , O’Connell P. E. , and Jones P. D. , 1998: Predicting rainfall statistics in England and Wales using atmospheric circulation variables. Int. J. Climatol., 18, 523–539, doi:10.1002/(SICI)1097-0088(199804)18:5<523::AID-JOC268>3.0.CO;2-X.

    • Search Google Scholar
    • Export Citation

  • Lattin, J., Carroll D. , and Green P. E. , 2003: Analyzing Multivariate Data. Cengage Learning, 580 pp.

  • Liang, S., Ed., 2008: Advances in Land Remote Sensing. Springer, 497 pp.

  • Liang, X.-Z., Kunkel K. E. , Meehl G. A. , Jones R. G. , and Wang J. X. L. , 2008: Regional climate models downscaling analysis of general circulation models present climate biases propagation into future change projections. Geophys. Res. Lett.,35, L08709, doi:10.1029/2007GL032849.

  • Martin, E., Timbal B. , and Brun E. , 1996: Downscaling of general circulation model outputs: Simulation of the snow climatology of the French Alps and sensitivity to climate change. Climate Dyn., 13, 45–56, doi:10.1007/s003820050152.

    • Search Google Scholar
    • Export Citation

  • Maurer, E. P., and Hidalgo H. G. , 2008: Utility of daily vs. monthly large-scale climate data: An intercomparison of two statistical downscaling methods. Hydrol. Earth Syst. Sci., 12, 551–563, doi:10.5194/hess-12-551-2008.

    • Search Google Scholar
    • Export Citation

  • Maurer, E. P., Brekke L. , Pruitt T. , and Duffy P. B. , 2007: Fine-resolution climate projections enhance regional climate change impact studies. Eos, Trans. Amer. Geophys. Union, 88, 504, doi:10.1029/2007EO470006.

    • Search Google Scholar
    • Export Citation

  • Maurer, E. P., Hidalgo H. G. , Das T. , Dettinger M. D. , and Cayan D. R. , 2010: The utility of daily large-scale climate data in the assessment of climate change impacts on daily streamflow in California. Hydrol. Earth Syst. Sci., 14, 1125–1138, doi:10.5194/hess-14-1125-2010.

    • Search Google Scholar
    • Export Citation

  • Mearns, L. O., Bogardi I. , Giorgi F. , Matyasovszky I. , and Palecki M. , 1999: Comparison of climate change scenarios generated from regional climate model experiments and statistical downscaling. J. Geophys. Res., 104, 6603–6621, doi:10.1029/1998JD200042.

    • Search Google Scholar
    • Export Citation

  • Miller, N. L., Kim J. , Hartman R. K. , and Farrara J. , 1999: Downscaled climate and streamflow study of the southwestern United States. J. Amer. Water Resour. Assoc.,35, 1525–1537, doi:10.1111/j.1752-1688.1999.tb04235.x.

    • Search Google Scholar
    • Export Citation

  • Murphy, J., 1999: An evaluation of statistical and dynamical techniques for downscaling local climate. J. Climate, 12, 2256–2284, doi:10.1175/1520-0442(1999)012<2256:AEOSAD>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Niemelä, S., Risnen P. , and Savijrvi H. , 2001a: Comparison of surface radiative flux parameterizations: Part I: Longwave radiation. Atmos. Res., 58, 1–18, doi:10.1016/S0169-8095(01)00084-9.

    • Search Google Scholar
    • Export Citation

  • Niemelä, S., Risnen P. , and Savijrvi H. , 2001b: Comparison of surface radiative flux parameterizations: Part II: Shortwave radiation. Atmos. Res., 58, 141–154, doi:10.1016/S0169-8095(01)00085-0.

    • Search Google Scholar
    • Export Citation

  • Oppenheimer, M., 2013: Climate change impacts: Accounting for the human response. Climatic Change, 117, 439–449, doi:10.1007/s10584-012-0571-9.

    • Search Google Scholar
    • Export Citation

  • Pfizenmayer, A., and von Storch H. , 2001: Anthropogenic climate change shown by local wave conditions in the North Sea. Climate Res., 19, 15–23, doi:10.3354/cr019015.

    • Search Google Scholar
    • Export Citation

  • Prata, A. J., 1996: A new long-wave formula for estimating downward clear sky radiation at the surface. Quart. J. Roy. Meteor. Soc., 122, 1127–1151, doi:10.1002/qj.49712253306.

    • Search Google Scholar
    • Export Citation

  • Semenov, M. A., and Barrow E. M. , 1997: Use of a stochastic weather generator in the development of climate change scenarios. Climatic Change, 35, 397–414, doi:10.1023/A:1005342632279.

    • Search Google Scholar
    • Export Citation

  • Stamm, J. F., Wood E. F. , and Lettenmaier D. P. , 1994: Sensitivity of a GCM simulation of global climate to the representation of land-surface hydrology. J. Climate, 7, 1218–1239, doi:10.1175/1520-0442(1994)007<1218:SOAGSO>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Tanaka, S. K., and Coauthors, 2006: Climate warming and water management adaptation for California. Climatic Change, 76, 361–387, doi:10.1007/s10584-006-9079-5.

    • Search Google Scholar
    • Export Citation

  • Tsvetsinskaya, E. A., Schaaf C. B. , Gao F. , Strahler A. H. , and Dickinson R. E. , 2006: Spatial and temporal variability in Moderate Resolution Imaging Spectroradiometer–derived surface albedo over global arid regions. J. Geophys. Res.,111, D20106, doi:10.1029/2005JD006772.

  • van Rheenen, N. T. V., Wood A. W. , Palmer R. N. , and Lettenmaier D. P. , 2004: Potential implications of PCM climate change scenarios for Sacramento–San Joaquin River basin hydrology and water resources. Climatic Change, 62, 257–281, doi:10.1023/B:CLIM.0000013686.97342.55.

    • Search Google Scholar
    • Export Citation

  • von Storch, H., 1999: On the use of inflation in statistical downscaling. J. Climate, 12, 3505–3506, doi:10.1175/1520-0442(1999)012<3505:OTUOII>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • von Storch, H., Zorita E. , and Cubasch U. , 1993: Downscaling of global climate change estimates to regional scales: An application to Iberian rainfall in wintertime. J. Climate, 6, 1161–1171, doi:10.1175/1520-0442(1993)006<1161:DOGCCE>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Wang, J., and Bras R. L. , 1999: Ground heat flux estimated from surface soil temperature. J. Hydrol., 216, 214–226, doi:10.1016/S0022-1694(99)00008-6.

    • Search Google Scholar
    • Export Citation

  • Wang, J., and Bras R. L. , 2009: A model of surface heat fluxes based on the theory of maximum entropy production. Water Resour. Res.,45, W11422, doi:10.1029/2009WR007900.

  • Wang, J., and Bras R. L. , 2011: A model of evapotranspiration based on the theory of maximum entropy production. Water Resour. Res.,47, W03521, doi:10.1029/2010WR009392.

  • Wang, J., Bras R. L. , Sivandran G. , and Knox R. G. , 2010: A simple method for the estimation of thermal inertia. Geophys. Res. Lett.,37, L05404, doi:10.1029/2009GL041851.

  • Wilby, R. L., and Wigley T. M. L. , 1997: Downscaling general circulation model output: A review of methods and limitations. Phys. Geogr., 21, 530–548, doi:10.1177/030913339702100403.

    • Search Google Scholar
    • Export Citation

  • Wilby, R. L., and Wigley T. M. L. , 2000: Precipitation predictors for downscaling: Observed and general circulation model relationships. Int. J. Climatol., 20, 641–661, doi:10.1002/(SICI)1097-0088(200005)20:6<641::AID-JOC501>3.0.CO;2-1.

    • Search Google Scholar
    • Export Citation

  • Wilby, R. L., Tomlinson O. J. , and Dawson C. W. , 2003: Multi-site simulation of precipitation by conditional resampling. Climate Res., 23, 183–194, doi:10.3354/cr023183.

    • Search Google Scholar
    • Export Citation

  • Wilks, D. S., and Wilby R. L. , 1999: The weather generation game: A review of stochastic weather models. Prog. Phys. Geogr., 23, 329–357, doi:10.1177/030913339902300302.

    • Search Google Scholar
    • Export Citation

  • Wood, A. W., Leung L. R. , Sridhar V. , and Lettenmaier D. P. , 2004: Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs. Climatic Change, 62, 189–216, doi:10.1023/B:CLIM.0000013685.99609.9e.

    • Search Google Scholar
    • Export Citation

  • Xu, C., 1999: From GCMs to river flow: A review of downscaling methods and hydrologic modeling approaches. Phys. Geogr., 23, 229–249, doi:10.1177/030913339902300204.

    • Search Google Scholar
    • Export Citation

  • Xue, Y., Vasic R. , Janjic Z. , Mesinger F. , and Mitchell K. E. , 2007: Assessment of dynamic downscaling of the continental U.S. regional climate using the Eta/SSiB regional climate model. J. Climate, 20, 4172–4193, doi:10.1175/JCLI4239.1.

    • Search Google Scholar
    • Export Citation

  • Zhang, F., and Georgakakos A. P. , 2012: Joint variable spatial downscaling. Climatic Change, 111, 945–972, doi:10.1007/s10584-011-0167-9.

    • Search Google Scholar
    • Export Citation

  • Zillman, J. W., 1972: A study of some aspects of the radiation and heat budgets of the Southern Hemisphere oceans. Meteorological Study 26, Bureau of Meteorology, 562 pp.

  • Zorita, E., and von Storch H. , 1999: The analog method as a simple statistical downscaling technique: Comparison with more complicated methods. J. Climate, 12, 2474–2489, doi:10.1175/1520-0442(1999)012<2474:TAMAAS>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
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