Remote Sensing Input to Climatological Datasets

  • Kendal McGuffie
Part of the NATO ASI Series book series (volume 24)

Abstract

Earth-orbiting satellites have provided a wealth of data which has spawned a revolution in the sciences of meteorology and climatology (Rao et a1. 1990). Through the use of satellites we are able to monitor many aspects of the surface and atmosphere of the Earth. Meteorological satellites have enhanced our understanding of the synoptic processes and now form a routine part of weather information which is distributed to the general public. These satellites have also provided increased understanding of many smaller-scale processes which were not resolved by the surface synoptic network. Aside from these obvious implications for meteorology, satellites have broader implications for the study of large-scale climate dynamics (Ohringet al 1989). Satellites also provide essential information for climate modelling. As global climate models include increasingly complex treatments of the land surface, detailed information on soil moisture distribution, snow cover etc. are required for model validation. Satellite data on clouds provide an important method for evaluating model dynamics together with measured top of the atmosphere radiative fluxes. To enhance our understanding of the climate system, satellite techniques must address many areas of climate research. Some topical examples might be (i) the dynamics of drought (e.g. El Niňo), (ii) the monitoring of deforestation, (iii) the monitoring of stratospheric ozone concentrations and the delicate chemical balance of the Antarctic stratosphere and (iv) the potential microphysical changes induced in clouds by the injection of anthropogenic and natural aerosols (such as those produced by volcanoes or dimethyl sulphide (DMS) released from the oceans (Twomey et al 1984 and Somerville and Remer 1984, Charlson et al. 1987).

Keywords

Microwave Sulphide Ozone Dimethyl Remote Sensing 

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References

  1. Campbell, G. G. C., and Vonder Haar, T. H., 1980, An analysis of two years of Nimbus- 6 radiation budget measurements. Atmospheric Science Paper No 320, Colorado State University, Fort Collins, Colorado.Google Scholar
  2. Carleton, A. M., 1991, Satellite remote sensing in climatology (Boca Raton: CRC Press).Google Scholar
  3. Charlson, R. J., Lovelock, J. E., Andreae, M. O., and Warren, S. E., 1987, Oceanic phytoplankton, atmospheric sulfur, cloud albedo and climate. Nature, 326, 655–661.CrossRefGoogle Scholar
  4. Ellis, J., and Vonder Haar, T. H., 1976, Zonal average Earth radiation budget measurements from satellites for climate studies. Atmospheric Science,. Paper No 340, Colorado State University, Fort Collins, CO.Google Scholar
  5. Gruber, A., and Winston, J. S., 1978, Earth-atmosphere radiative heating based on NOAA scanning radiometer measurements. Bulletin of the American Meteorological Society, 59, 1570–1573.CrossRefGoogle Scholar
  6. Hurrell, J. W., and Campbell, G. G. C., 1992, Monthly mean global satellite datasets available in CCM history tape format, NCAR TN-371+STR, National Center for Atmospheric Research, Boulder, Colorado.Google Scholar
  7. Jacobowitz, H., Tighe, R. J., and the Nimbus-7 ERB experiment team, 1984, The Earth radiation budget derived from the Nimbus-7 ERB experiment. Journal of Geophysical Research, 89, 4997–5010.CrossRefGoogle Scholar
  8. Kyle, H. L., Hucek, R. R., and Vailette, B. J., 1991, Atlas of the Earth’s radiation budget as measured by Nimbus-7: May 1979 - May 1980, NASA Reference publication 1263, NASA, Washington DC.Google Scholar
  9. Ohring, G, Gallo, K., Gruber, A., Planet, W., Stowe, L., and Tarpley, J. D., 1989, Climate and global change, characteristics of NOAA satellite data, EOS (Transactions of the American Geophysical Union), bf 70, 889, 894, 901.Google Scholar
  10. Rao, P. K., Holmes, S. J., Anderson, R. K., Winston, J.S., and Lehr, P.E. (Editors), 1990, Weather satellites: Systems, Data and Environmental Applications, (Boston: American Meteorological Society).Google Scholar
  11. Raschke, E., Vonder Haar, T. H., Bandeen, W. R., and Pasternak, M., 1973, The annual radiation balance of the Earth atmosphere system during 1969–70 from Nimbus- 3 measurements. Journal of Atmospheric Sciences, 30, 341–364.CrossRefGoogle Scholar
  12. Somerville, R. C. J., and Remer, L. A., 1984, Cloud optical thickness feedbacks in the CO2 climate problem. Journal of Geophysical Research, 89, 9668–9672.CrossRefGoogle Scholar
  13. Spencer, R. W., Christie R., and Grody, N. C., 1990, Global atmospheric temperature monitoring with satellite microwave measurements: Methods and results 1979–84. Journal of Climate,, 2, 671–709.Google Scholar
  14. Stowe, L. L., Wellemeyer, C. G., Eck, T. F., Yeh, H. Y. M., and the Nimbus-7 Cloud data processing team, 1988, Nimbus-7 global cloud climatology: Part I, algorithms and validation. Journal of Climate, 1, 445–470.CrossRefGoogle Scholar
  15. Twomey, S. A., Piepgrass, M. & Wolfe, T. L., 1984, An assessment of the impact of pollution on global cloud albedo.Tellus, 36B, 356–366.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1994

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  • Kendal McGuffie

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