• Angell, J. K., 1999: Variation with height and latitude of radiosonde temperature trends in North America, 1975–94. J. Climate, 12 , 25512561.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Angell, J. K., 2000: Tropospheric temperature variations adjusted for El Nino, 1958–1998. J. Geophys. Res., 105 , 1184111849.

  • Buizza, R., and Montani A. , 1999: Targeting observations using singular vectors. J. Atmos. Sci., 56 , 29652985.

  • Elliott, W. P., and Ross R. J. , 2000: Estimated impacts on climate records of adaptive strategies for scheduling radiosondes. J. Climate, 13 , 21162120.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Emanuel, K., and Coauthors. 1995: Report of the First Prospectus Development Team of the U.S. Weather Research Program to NOAA and the NSF. Bull. Amer. Meteor. Soc., 76 , 11941208.

    • Search Google Scholar
    • Export Citation
  • Errico, R. M., 1999: Workshop on assimilation of satellite data. Bull. Amer. Meteor. Soc., 80 , 463471.

  • Free, M., and Coauthors. 2002: Creating climate reference datasets: CARDS workshop on adjusting radiosonde temperature data for climate monitoring. Bull. Amer. Meteor. Soc., 83 , 891899.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gaffen, D. J., Sargent M. A. , Habermann R. E. , and Lanzante J. R. , 2000: Sensitivity of tropospheric and stratospheric temperature trends to radiosonde data quality. J. Climate, 13 , 17761796.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Henderson, J. M., Rosen R. D. , and Salstein D. A. , 2002: Impact of sub-sampling strategies on North American climate statistics. Preprints, 13th Conf. on Applied Meteorology, Portland, OR, Amer. Meteor. Soc., J86–88.

    • Search Google Scholar
    • Export Citation
  • Hirschberg, P. A., Shafran P. C. , Elsberry R. L. , and Ritchie E. A. , 2001: An observing system experiment with the West Coast picket fence. Mon. Wea. Rev., 129 , 25852599.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Iskenderian, H., and Rosen R. D. , 2000: Low-frequency signals in midtropospheric submonthly temperature variance. J. Climate, 13 , 23232333.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kistler, R., and Coauthors. 2001: The NCEP–NCAR 50-year reanalysis: Monthly means CD-ROM and documentation. Bull. Amer. Meteor. Soc., 82 , 247267.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lanzante, J., Klein S. , and Seidel D. , 2003: Temporal homogenization of monthly radiosonde temperature data. Part II: Trends, sensitivities, and MSU comparison. J. Climate, 16 , 241262.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lord, S., cited 1999: NCEP/EMC NAOS experiments. [Available online at http://sgi62.wwb.noaa.gov:8080/naos/naos_html1.html.].

  • Lorenz, E., and Emanuel K. A. , 1998: Optimal sites for supplementary observations: Simulation with a small model. J. Atmos. Sci., 55 , 399414.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Morss, R. E., 1999: Adaptive observations: Idealized sampling strategies for improving numerical weather prediction. Ph.D. thesis, Massachusetts Institute of Technology, 225 pp.

    • Search Google Scholar
    • Export Citation
  • Morss, R. E., and Emanuel K. A. , 2002: Influence of added observations on analysis and forecast errors: Results from idealized systems. Quart. J. Roy. Meteor. Soc., 128 , 285321.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Morss, R. E., Emanuel K. A. , and Snyder C. , 2001: Idealized adaptive observation strategies for improving numerical weather prediction. J. Atmos. Sci., 58 , 210232.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • NAOS, 1996: North American Atmospheric Observing System program plan. NOAA/DOC Publ., 32 pp. [Available from NOAA Forecast Systems Laboratory R/FS, 325 S. Broadway, Boulder, CO 80305-3328.].

    • Search Google Scholar
    • Export Citation
  • NAOS, 2000: Radiosonde/MDCRS evaluation: Findings and recommendations. NAOS Rep., 14 pp. [Available from NOAA Forecast Systems Laboratory R/FS, 325 S. Broadway, Boulder, CO 80305-3328].

    • Search Google Scholar
    • Export Citation
  • Nicholls, N., 2001: The insignificance of significance testing. Bull. Amer. Meteor. Soc., 82 , 981986.

  • NRC, 1999: Adequacy of climate observing systems. National Academy Press, 51 pp.

  • NRC, 2000: Reconciling Observations of Global Temperature Change. National Academy Press, 85 pp.

  • Oort, A. H., 1978: Adequacy of the rawinsonde network for global circulation studies tested through numerical model output. Mon. Wea. Rev., 106 , 174195.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ross, R. J., and Elliott W. P. , 1996: Tropospheric water vapor climatology and trends over North America: 1973–93. J. Climate, 9 , 35613574.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Snyder, C., 1996: Summary of an informal workshop on adaptive observations and FASTEX. Bull. Amer. Meteor. Soc., 77 , 953961.

  • Starr, V. P., Peixoto J. P. , and Gaut N. E. , 1970: Momentum and zonal kinetic energy balance of the atmosphere from five years of hemispheric data. Tellus, 22 , 251274.

    • Search Google Scholar
    • Export Citation
  • Trenberth, K. E., and Olson J. G. , 1991: Representativeness of a 63-station network for depicting climate changes. Greenhouse-Gas-Induced Climatic Change: A Critical Appraisal of Simulations and Observations, M. E. Schlesinger, Ed., Elsevier Science, 249–259.

    • Search Google Scholar
    • Export Citation
  • WMO, 1996: GCOS plans progress. World Climate News, No. 9,. 910.

  • Yarosh, E. S., Ropelewski C. F. , and Berbery E. H. , 1999: Biases of the observed atmospheric water budgets over the central United States. J. Geophys. Res., 104 , 1934919360.

    • Crossref
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 151 26 9
PDF Downloads 17 7 0

Sensitivity of Continental-Scale Climate Trend Estimates to the Distribution of Radiosondes over North America

Richard D. RosenAtmospheric and Environmental Research, Inc., Lexington, Massachusetts

Search for other papers by Richard D. Rosen in
Current site
Google Scholar
PubMed
Close
,
John M. HendersonAtmospheric and Environmental Research, Inc., Lexington, Massachusetts

Search for other papers by John M. Henderson in
Current site
Google Scholar
PubMed
Close
, and
David A. SalsteinAtmospheric and Environmental Research, Inc., Lexington, Massachusetts

Search for other papers by David A. Salstein in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

As part of its mandate to oversee the design of measurement networks for future weather and climate observing needs, the North American Atmospheric Observing System (NAOS) program hypothesized that replacing some of the existing radiosonde stations in the continental United States (CONUS) with another observing system would have little impact on weather forecast accuracy. The consequences of this hypothesis for climate monitoring over North America (NA) are considered here by comparing estimates of multidecadal trends in seasonal mean 500-mb temperature (T) integrated regionally over CONUS or NA, made with and without the 14 upper-air stations initially targeted for replacement. The trend estimates are obtained by subsampling gridded reanalysis fields at points nearest the 78 (126) existing CONUS (NA) radiosonde stations and at these points less the 14 stations. Trends in T for CONUS and NA during each season are also estimated based on the full reanalysis grid, but regardless of the sampling strategy, differences in trends are small and statistically insignificant. A more extreme reduction of the existing radiosonde network is also considered here, namely, one associated with the Global Climate Observing System (GCOS), which includes only 6 (14) stations in CONUS (NA). Again, however, trends for CONUS or NA based on the GCOS sampling strategy are not significantly different from those based on the current network, despite the large difference in station coverage. Estimates of continental-scale trends in 500-mb temperature therefore appear to be robust, whether based on the existing North American radiosonde network or on a range of potential changes thereto. This result depends on the large spatial scale of the underlying tropospheric temperature trend field; other quantities of interest for climate monitoring may be considerably more sensitive to the number and distribution of upper-air stations.

Corresponding author address: Dr. Richard D. Rosen, Atmospheric and Environmental Research, Inc., 131 Hartwell Ave, Lexington, MA 02421. Email: rdrosen@aer.com

Abstract

As part of its mandate to oversee the design of measurement networks for future weather and climate observing needs, the North American Atmospheric Observing System (NAOS) program hypothesized that replacing some of the existing radiosonde stations in the continental United States (CONUS) with another observing system would have little impact on weather forecast accuracy. The consequences of this hypothesis for climate monitoring over North America (NA) are considered here by comparing estimates of multidecadal trends in seasonal mean 500-mb temperature (T) integrated regionally over CONUS or NA, made with and without the 14 upper-air stations initially targeted for replacement. The trend estimates are obtained by subsampling gridded reanalysis fields at points nearest the 78 (126) existing CONUS (NA) radiosonde stations and at these points less the 14 stations. Trends in T for CONUS and NA during each season are also estimated based on the full reanalysis grid, but regardless of the sampling strategy, differences in trends are small and statistically insignificant. A more extreme reduction of the existing radiosonde network is also considered here, namely, one associated with the Global Climate Observing System (GCOS), which includes only 6 (14) stations in CONUS (NA). Again, however, trends for CONUS or NA based on the GCOS sampling strategy are not significantly different from those based on the current network, despite the large difference in station coverage. Estimates of continental-scale trends in 500-mb temperature therefore appear to be robust, whether based on the existing North American radiosonde network or on a range of potential changes thereto. This result depends on the large spatial scale of the underlying tropospheric temperature trend field; other quantities of interest for climate monitoring may be considerably more sensitive to the number and distribution of upper-air stations.

Corresponding author address: Dr. Richard D. Rosen, Atmospheric and Environmental Research, Inc., 131 Hartwell Ave, Lexington, MA 02421. Email: rdrosen@aer.com

Save