• Arino, O., Dedieu G. , and Deschamps P. Y. , 1991: Accuracy of satellite land surface reflectance determination. J. Appl. Meteor, 30 , 960972.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Arino, O., Dedieu G. , and Deschamps P. Y. , 1992: Determination of land surface spectral reflectances using Meteosat and NOAA/AVHRR shortwave channel data. Int. J. Remote Sens, 13 , 22632287.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brest, C. L., Rossow W. B. , and Roitier M. D. , 1997: Update of radiance calibrations for ISCCP. J. Atmos. Oceanic Technol, 14 , 10911109.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cosgrove, B. A., and Coauthors, 2003: Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project. J. Geophys. Res.,108, 8842, doi:10.1029/ 2002JD003118.

    • Search Google Scholar
    • Export Citation
  • Crewell, S., Drusch M. , van Meijgaard E. , and van Lammeren A. , 2002: Cloud observations and modelling within the European BALTEX Cloud Liquid Water network. Boreal Environ. Res, 7 , 235245.

    • Search Google Scholar
    • Export Citation
  • Diak, G. R., and Gautier C. , 1983: Improvements to a simple physical model for estimating insolation from GOES data. J. Appl. Meteor, 22 , 505508.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Feijt, A., and de Valk P. , 2001: The use of NWP model surface temperatures in cloud detection from satellite. Int. J. Remote Sens, 22 , 25712584.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Feijt, A., de Valk P. , and van der Veen S. , 2000: Cloud detection using Meteosat imagery and numerical weather prediction model data. J. Appl. Meteor, 39 , 10171030.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fortuin, J. P. F., and Langematz U. , 1995: An update on the global ozone climatology and on concurrent ozone and temperature trends. Atmospheric Sensing and Modeling, R. P. Santer, Ed., SPIE Press, 207–216.

    • Search Google Scholar
    • Export Citation
  • Gautier, C., and Landsfeld M. , 1997: Surface solar radiation flux and cloud radiative forcing for the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP): A satellite, surface observations, and radiative transfer model study. J. Atmos. Sci, 54 , 12891307.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gautier, C., Diak G. , and Masse S. , 1980: A simple physical model to estimate incident solar radiation at the surface from GOES satellite data. J. Appl. Meteor, 19 , 10051012.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Henzing, J. S., and Knap W. H. , 2001: Uncertainty in pyranometer and pyrheliometer measurements at KNMI in De Bilt. KNMI Tech. Rep. TR-235, 22 pp.

    • Search Google Scholar
    • Export Citation
  • Lenderink, G., van den Hurk B. , van Meijgaard E. , van Ulden A. , and Cuijpers H. , 2003: Simulation of present-day climate in RACMO2: First results and model developments. KNMI Tech. Rep. TR-252, 24 pp.

    • Search Google Scholar
    • Export Citation
  • Luo, L., and Coauthors, 2003: Validation of the North American Land Data Assimilation System (NLDAS) retrospective forcing over the Southern Great Plains. J. Geophys. Res.,108, 8843, doi:10.1029/2002JD003246.

    • Search Google Scholar
    • Export Citation
  • Mitchell, K. E., and Coauthors, 2004: The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system. J. Geophys. Res.,109, D07590, doi:10.1029/2003JD003823.

    • Search Google Scholar
    • Export Citation
  • Morcrette, J-J., 1991: Radiation and cloud radiative properties in the European Centre for Medium Range Weather Forcasts forecasting system. J. Geophys. Res, 96 , 91219132.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ohmura, A., and Coauthors, 1998: Baseline Surface Radiation Network (BSRN/WCRP): New precision radiometry for climate research. Bull. Amer. Meteor. Soc, 79 , 21152136.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pinker, R. T., and Coauthors, 2003: Surface radiation budgets in support of the GEWEX Continental-Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), including the North American Land Data Assimilation System (NLDAS) project. J. Geophys. Res.,108, 8844, doi:10.1029/ 2002JD003301.

    • Search Google Scholar
    • Export Citation
  • Rossow, W. B., and Garder L. C. , 1993a: Cloud detection using satellite measurements of infrared and visible radiances for ISCCP. J. Climate, 6 , 23412369.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rossow, W. B., and Garder L. C. , 1993b: Validation of ISCCP cloud detection. J. Climate, 6 , 23702393.

  • Tanre, D., Geleyn J-F. , and Slingo J. M. , 1984: First results of the introduction of an advanced aerosol–radiation interaction in the ECMWF low resolution global model. Aerosols and Their Climatic Effects, H. E. Gerber and A. Deepak, Eds., A. Deepak, 133–177.

    • Search Google Scholar
    • Export Citation
  • Tarpley, J. D., 1979: Estimating incident solar radiation at the surface from geostationary satellite data. J. Appl. Meteor, 18 , 11721181.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Viterbo, P., 1996: The representation of surface processes in general circulation models. Ph.D. thesis, ECMWF, 201 pp.

  • Watson, R. T., Rodhe H. , Oeschger H. , and Siegenthaler U. , 1990: Greenhouse gases and aerosols. Scientific Assessment of Climate Change—Report of Working Group I, J. T. Houghton, G. J. Jenkins, and J. J. Ephraums, Eds., Cambridge University Press, 1– 44.

    • Search Google Scholar
    • Export Citation
  • Yucel, I., Shuttleworth W. J. , Pinker R. T. , Lu L. , and Sorooshian S. , 2002: Impact of ingesting satellite-derived cloud cover into the Regional Atmospheric Modeling System. Mon. Wea. Rev, 130 , 610628.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yucel, I., Shuttleworth W. J. , Gao X. , and Sorooshian S. , 2003: Short-term performance of MM5 with cloud cover assimilation from satellite observations. Mon. Wea. Rev, 131 , 17971810.

    • Crossref
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 50 24 4
PDF Downloads 18 9 2

Optimized Surface Radiation Fields Derived from Meteosat Imagery and a Regional Atmospheric Model

View More View Less
  • 1 Meteorological Institute, University Bonn, Bonn, Germany
  • | 2 Royal Netherlands Meteorological Institute, De Bilt, Netherlands
  • | 3 Meteorological Institute, University Bonn, Bonn, Germany
  • | 4 European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom
Restricted access

Abstract

High-quality fields of surface radiation fluxes are required for the development of Land Data Assimilation Systems. A fast offline integration scheme was developed to modify NWP model cloud fields based on Meteosat visible and infrared observations. From the updated cloud fields, downward shortwave and longwave radiation at the surface are computed using the NWP radiative transfer model.

A dataset of 15 months covering Europe was produced and validated against measurements of ground stations on a daily basis. In situ measurements are available for 30 stations in the Netherlands and two Baseline Surface Radiation Network (BSRN) stations in Germany and France. The accuracy of shortwave surface radiation is increased when the integration system is applied. The rms error in the model forecast is found to be 32 and 42 W m−2 for the period from October 1999 to December 2000 for the two BSRN stations. These values are reduced to 21 and 25 W m−2 through the application of the integration scheme. During the summer months the errors are generally larger than in winter. Because of an integrated monitoring of surface albedo, the performance of the scheme is not affected by snow cover. The errors in the longwave radiation field of the original NWP model are already small. However, they are slightly reduced by applying the integration scheme.

Corresponding author address: Dirk Meetschen, Meteorologisches Institut der Universität Bonn, Auf dem Hügel 20, 53121 Bonn, Germany. Email: dmeetsch@uni-bonn.de

Abstract

High-quality fields of surface radiation fluxes are required for the development of Land Data Assimilation Systems. A fast offline integration scheme was developed to modify NWP model cloud fields based on Meteosat visible and infrared observations. From the updated cloud fields, downward shortwave and longwave radiation at the surface are computed using the NWP radiative transfer model.

A dataset of 15 months covering Europe was produced and validated against measurements of ground stations on a daily basis. In situ measurements are available for 30 stations in the Netherlands and two Baseline Surface Radiation Network (BSRN) stations in Germany and France. The accuracy of shortwave surface radiation is increased when the integration system is applied. The rms error in the model forecast is found to be 32 and 42 W m−2 for the period from October 1999 to December 2000 for the two BSRN stations. These values are reduced to 21 and 25 W m−2 through the application of the integration scheme. During the summer months the errors are generally larger than in winter. Because of an integrated monitoring of surface albedo, the performance of the scheme is not affected by snow cover. The errors in the longwave radiation field of the original NWP model are already small. However, they are slightly reduced by applying the integration scheme.

Corresponding author address: Dirk Meetschen, Meteorologisches Institut der Universität Bonn, Auf dem Hügel 20, 53121 Bonn, Germany. Email: dmeetsch@uni-bonn.de

Save