Skip to main content

The Impact of Technology Upon In Situ Atmospheric Observations and Climate Science

  • Chapter
Book cover Geography and Technology

Abstract

Over the past 100 years geographers have extensively employed in situ observations of the atmosphere in their research endeavors. Technological improvements in instrumentation, communication, and data storage media have played fundamental roles in the expansion of observational networks and in the improved accuracy and precision of measurements. Yet, technological changes, along with technological limitations, such as instrument drift and failure, have introduced unwanted inhomogeneity into the time series of surface and upper-air observations. An additional constraint is that most, if not all, observational networks for the atmosphere were designed for short-range weather prediction rather than for climate monitoring. This essay reviews, for the non-climatologist, the primary surface and upper-air datasets available for climatological research in the U.S. and for global-scale analyses. Particular focus is placed on the known sources of inhomogeneities in these data series. Geographers need to become more aware of the value of in situ surface and upper-air observations and the current limitations and fragility of these networks.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Alexandersson, H. (1986). A Homogeneity Test Applied to Precipitation Data, Journal of Climatology 6: 661–75.

    Article  Google Scholar 

  • Allen, R.J. and DeGaetano, A.T. (2000). A Method to Adjust Long-Term Temperature Extreme Series for Nonclimatic Inhomogeneities, Journal of Climate 13: 3680–95.

    Article  Google Scholar 

  • Angell, J.K. and Korshover, J. (1977). Estimate of Global Change in Temperature, Surface to 100 mb, Between 1958 and 1975, Monthly Weather Review 105: 375–85.

    Article  Google Scholar 

  • Balling, R.C. and Idso, C.D. (2002). Analysis of Adjustments to the U.S. Historical Climatology Network (USHCN) Temperature Database, Geophysical Research Letters 29: 1387.

    Article  Google Scholar 

  • Bosart, L.F. (1990). Degradation of the North American Radiosonde Network, Weather and Forecasting 5: 527–28.

    Article  Google Scholar 

  • Butler, R.D. (1998). ASOS Heating Tipping Performance Assessment and Impact on Precipitation Climate Continuity [Report can be ordered from Storming Media, 529 14th St. NE, Washington, DC 20002].

    Google Scholar 

  • Chernykh, I.V., Alduchov, O.A., and Eskridge, R.E. (2003). Reply, Bulletin of the American Meteorological Society 84: 241–47.

    Article  Google Scholar 

  • DeGaetano, A.T. (1999). A Method to Infer Observation Time Based on Day-to-Day Temperature Variations, Journal of Climate 12: 3443–56.

    Article  Google Scholar 

  • Dune, I. (2003). Comprehensive Aerological Reference Dataset Global Radiosonde Data and Station History Information. http://www.lwf.ncdc.noaa.gov/oa/climate/cards/

    Google Scholar 

  • Easterling, D.R., Peterson, T.C., and Karl, T.R. (1996). On the Development and Use of Homogenized Climate Datasets, Journal of Climate 9: 1429–34.

    Article  Google Scholar 

  • Elliott, W.P. and Gaffen, D.J. (1991). On the Utility of Radiosonde Humidity Archives for Climate Studies, Bulletin of the American Meteorological Society 72: 1507–20.

    Article  Google Scholar 

  • Elliott, W.P., Ross, R.J., and Schwartz, B. (1998). Effects on Climate Records of Changes in National Weather Service Humidity Processing Procedures, Journal of Climate 11: 2424–36.

    Article  Google Scholar 

  • Elliott, W.P., Ross, R.J., and Blackmore, W.H. (2002). Recent Changes in NWS Upper-Air Observations with Emphasis on Changes from VIZ to Vaisala Radiosondes, Bulletin of the American Meteorological Society 83: 1003–17.

    Article  Google Scholar 

  • Eskridge, R.E., Alduchov, A.O., Chernykh, I.V., Panmao, Z., Polansky, A.C., and Doty, S.R. (1995). A Comprehensive Aerological Reference Dataset (CARDS): Rough and Systematic Errors. Bulletin of the American Meteorological Society 76: 1759–75.

    Article  Google Scholar 

  • Federal Aviation Administration (FAA) (2002). Automated Surface Observing System. http://www2.faa.gob/asos/asosinfo.htm

    Google Scholar 

  • Franklin, D. (2000). U.S. Climate Reference Network: Use of the Data. http://www.ncdc.noaa.gov/oa/climate/research/crn/cmuseofdata.html/

    Google Scholar 

  • Franklin, D. (2003a). U.S. Climate Reference Network Program Overview. http://www.ncdc.noaa.gov/oa/climate/uscrn/programoverview.html

    Google Scholar 

  • Franklin, D. (2003b). U.S. Climate Reference Network Progress and Milestones. http://www.ncdc.noaa.gov/oa/climate/uscrn/progress.html

    Google Scholar 

  • Gaffen, D.J. and Ross, R.J. (1999). Climatology and Trends of U.S. Surface Humidity and Temperature, Journal of Climate 12: 811–28.

    Article  Google Scholar 

  • 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, Journal of Climate 13: 1776–96.

    Article  Google Scholar 

  • Garand, L., Grassotti, C., Halle, J., and Klein, G.L. (1992). On Differences in Radiosonde Humidity Practices and Their Implications for Numerical Weather Prediction and Remote Sensing, Bulletin of the American Meteorological Society 73: 1417–23.

    Article  Google Scholar 

  • Global Climate Observing System (GCOS) Secretariat (no date). Global Climate Observing System. http://www.wmo.ch/web/gcos/whatisgcos.htm/

  • Global Climate Observing System Steering Committee (GCOS-SC) (2003). The Second Report on the Adequacy of the Global Observing System for Climate in Support of the UNFCCC. Report GCOS-82 (WMO/TD No. 1143). Published by the World Meteorological Organization, Geneva, Switzerland. http://193.135.216.2/web/gcos/Second_ Adequacy_Report.pdf

    Google Scholar 

  • Global Observing Systems Information Center (GOSIC) (2003). The Operational Observing Systems for the GCOS Surface Network (GSN). http://www.gos.udel.edu/gcos/GSN.flow.htm

    Google Scholar 

  • Govett, M. (2001). FSL/NCDC Radiosonde Data Archive. http://raob.fsl.noaa.gov/Raob_Software.html

    Google Scholar 

  • Groisman, P.Ya, Easterling, D.R., Quayle, R.G., Golubev, V.S., Krenke, A.N., and Mikhailov, A.Yu (1996). Reducing Biases in Estimates of Precipitation in the U.S.: Phase 3 Adjustments, Journal of Geophysical Research 101: 7185–95.

    Article  Google Scholar 

  • Groisman, P.Ya. and D.R. Legates, 1994: The Accuracy of U.S. Precipitation Data, Bulletin of the American Meteorological Society 74: 215–227.

    Article  Google Scholar 

  • Guichard, F., Parsons, D., and Miller, E. (2000). Thermodynamic and Radiative Impact of the Correction of Sounding Humidity Bias in the Tropics, Journal of Climate 13: 3611–24.

    Article  Google Scholar 

  • Guttman, N.B. and Baker, C.B. (1996). Exploratory Analysis of the Difference Between Temperature Observations Recorded by ASOS and Conventional Methods, Bulletin of the American Meteorological Society 77: 2865–73.

    Article  Google Scholar 

  • Horvitz, A. (2002). Coop Modernization. http://www.nws.naa.gov/om/coop/coopmod.htm

    Google Scholar 

  • Horvitz, A. (2003). What is the Coop Program? http://www.nws.noaa.gov/om/coop/what-is-coop.html

    Google Scholar 

  • Jones, P.D. (1994). Hemispheric Surface Air Temperature Variations: A Reanalysis and an Update to 1993, Journal of Climate 7: 1794–1802.

    Article  Google Scholar 

  • Jones, P.D., Wigley, T.M.L., and Kelly, P.M. (1982). Variations in Surface Air Temperatures: Part 1. Northern Hemisphere, 1881–1980, Monthly Weather Review 110: 59–70.

    Article  Google Scholar 

  • Jones, P.D., Raper, S.C.B., Bradley, R.S., Diaz, H.F., Kelly, P.M., and Wigley, T.M.L. (1986). Northern Hemisphere Surface Air Temperature Variations: 1851–1984, Journal of Climate and Applied Meteorology 25: 161–79.

    Article  Google Scholar 

  • Karl, T.R., Williams, C.N., Jr., Quinlan, F.T., and Boden, T.A. (1990). U.S. Historical Climatology Network (HCN). Serial Temperature and Precipitation Data. Environmental Science Division, Publication No. 3404, Carbon Dioxide Information and Analysis Center, Oak Ridge National Laboratory, Oak Ridge, TN.

    Google Scholar 

  • Karl, T.R., Quayle, R.G, and Groisman, P.Y. (1993). Detecting Climate Variations and Change: New Challenges for Observing and Data Management Systems, Journal of Climate 6: 1481–94.

    Article  Google Scholar 

  • Karl, T.R., Derr, V.E., Easterling, D.R., Folland, C.K., Hofmann, D.J., Levitus, S., Nicholl, N., Parker, D.E., and Withee, G.W. (1995). Critical Issues for Long-Term Climate Monitoring, Climatic Change 3: 185–221.

    Article  Google Scholar 

  • Lanzante, J.R., Klein, S.A., and Seidel, D.J. (2003a). Temporal Homogenization of Monthly Radiosonde Temperature Data. Part I: Methodology, Journal of Climate 16: 224–40.

    Article  Google Scholar 

  • Lanzante, J.R., Klein, S.A., and Seidel, D.J. (2003b). Temporal Homogenization of Monthly Radiosonde Temperature Data. Part II: Trends, Sensitivities, and MSU Comparison, Journal of Climate 16: 241–62.

    Article  Google Scholar 

  • Legates, D.R. and Willmott, C.J. (1990a). Mean Seasonal and Spatial Variability in Gauge-Corrected, Global Precipitation, International Journal of Climatology 10: 111–27.

    Article  Google Scholar 

  • Legates, D.R. and Willmott, C.J. (1990b). Mean Seasonal and Spatial Variability in Global Surface Air Temperature, Theoretical and Applied Climatology 41: 11–21.

    Article  Google Scholar 

  • Lott, N. (2003). Federal Climate Complex Global Surface Summary of Day Data Version 6 (Over 8000 Worldwide Stations). National Climatic Data Center. http://ftp.ncdc.noaa.gov/pub/data/globalsod/readme.txt

    Google Scholar 

  • Lott, J. Neal and Baldwin, R. (2002). The FCC Integrated Surface Hourly Database, A New Resource of Global Climate Data. Preprints, 13th Symposium on Global Change and Climate Variations, Paper 6.2. American Meteorological Society, Boston, MA.

    Google Scholar 

  • Lott, N., Baldwin, R., and Jones, P. (2001). The FCC Integrated Surface Hourly Database, A New Resource of Global Climate Data. National Climatic Data Center Technical Report No. 2001–01. U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite Data and Information Service, National Climatic Data Center, Asheville, NC.

    Google Scholar 

  • Luers, J.K. and Eskrdige, R.E. (1998). Use of Radiosonde Temperature Data in Climate Studies, Journal of Climate 11: 1002–19.

    Article  Google Scholar 

  • Lund, R. and Reeves, J. (2002). Detection of Undocumented Changepoints: A Revision of the Two-Phase Regression Model, Journal of Climate 15: 2547–54.

    Article  Google Scholar 

  • Mahesh, A., Walden, V.P., and Warren, S.G (1997). Radiosonde Temperature Measurements in Strong Inversions: Correction for Thermal Lag Based on an Experiment at the South Pole, Journal of Atmospheric and Ocean Technology 14: 45–53.

    Article  Google Scholar 

  • National Climatic Data Center (NCDC) (1997). Data Documentation for Monthly Climatic Data of the World TD 3500. National Climatic Data Center, Asheville, NC. http://www.4.ncdc.noaa.gov/ol/documentlibrary/datasets.html

    Google Scholar 

  • National Climatic Data Center (NCDC) (1998). Global Surface Summary of Day. http://rabbit.eng.miami.edu/info/weather/documentation.html

    Google Scholar 

  • National Climatic Data Center (NCDC) (2002a). Data Documentation for Dataset 6200 (DSI-6200) NCDC Upper-air Digital Files. Asheville, NC. http://www.4.ncdc.noaa.gov/ol/documentlibrary/datasets.html

    Google Scholar 

  • National Climatic Data Center (NCDC) (2002b). Data Documentation for Dataset 9101 (DSI-9101) Global Daily Climatology Network, V1.0. Asheville, NC. http://www.4.ncdc.noaa.gov/ol/documentlibrary/datasets.html

    Google Scholar 

  • National Climatic Data Center (NCDC) (2002c). Data Documentation for Dataset 9644 (DSI-9644).World Weather Records. Ashville, NC. http://www.4.ncdc.noaa.gov/ol/documentlibrary/datasets.html

    Google Scholar 

  • National Climatic Data Center (NCDC) (2003a). Data Documentation for Dataset 3286 (DSI-3286) Climate Reference Network. Asheville, NC. http://www.4.ncdc.noaa.gov/ol/documentlibrary/datasets.html

    Google Scholar 

  • National Climatic Data Center (NCDC) (2003b). Data Documentation for Dataset 9948 (DSI-9948) Six Second Upper-Air Data. Asheville, NC. http://www.4.ncdc.noaa.gov/ol/documentlibrary/datasets.html

    Google Scholar 

  • National Climatic Data Center (NCDC) (2003c). Integrated Surface Hourly Data. National Climatic Data Center, Asheville, NC. http://www.4.ncdc.noaa.gov/ol/documentlibrary/datasets.html

    Google Scholar 

  • National Research Council (NRC) (2000). Reconciling Observations of Global Temperature Change. Washington: National Academy Press. http://www.nap.edu/books/0309068916/html/

    Google Scholar 

  • National Weather Service Office of Meteorology (NWS OM) (1999). Automated Surface Observing System (ASOS). http://www.nws.noaa.gov/ost/asostech.html

    Google Scholar 

  • National Weather Service (NWS) Office of Operational Systems (OPS2) (2003). Upper-Air Observations Program. http://www.ua.nws.noaa.gov/

    Google Scholar 

  • New, M., Hulme, M., and Jones, P. (1999). Representing Twentieth Century Space-Time Climate Variability. Part I: Development of a 1961–90 Mean Monthly Terrestrial Climatology, Journal of Climate 12: 829–56.

    Article  Google Scholar 

  • New, M., Hulme, M., and Jones, P. (2000). Representing Twentieth-Century Space-Time Climate Variability. Part II: Development of a 1901–96 Monthly Grids of Terrestrial Surface Climate, Journal of Climate 13: 2217–38.

    Article  Google Scholar 

  • Office of the Federal Coordinator for Meteorology (OFCM) (1997). Federal Meteorological Handbook No. 3: Rawinsonde and Pibal Observations. FCM-H3–1997. Washington, DC. http://www.ofcm.gov/fmh3/text/default.htm

    Google Scholar 

  • Parker, D.E., Gordon, M., Cullum, D.P.N., Sexton, D.M.H., Foland, C.K., and Rayner, N. (1997). A New Global Gridded Radiosonde Temperature Data Base and Recent Temperature Trends, Geophysical Research Letters 24: 1499–1502.

    Article  Google Scholar 

  • Peterson, T., Daan, H., and Jones, P. (1997). Initial Selection of a GCOS Surface Network, Bulletin of the American Meteorological Society 12: 2145–52.

    Article  Google Scholar 

  • Peterson, T.C., Easterling, D.R., Karl, T.R., Groisman, P., Nicholls, N., Plummer, N., Torok, S., Auer, I., Boehm, R., Gullett, D., Vincent, L., Heino, R., Tuomenvirta, H., Mestre, O., Szentimrey, T., Salinger, J., Forland, E.J., Hassen-Bauer, I., Alexandersson, H., Jones, P., and Parker, D. (1998). Homogeneity Adjustments of In Situ Atmospheric Climate Data: A Review, International Journal of Climatology 18: 1493–1517.

    Article  Google Scholar 

  • Peterson, T.C. and Vose, R.S. (1997). An Overview of the Global Historical Climatology Network Temperature Database, Bulletin of the American Meteorological Society 78: 2837–49.

    Article  Google Scholar 

  • Quayle, R.G. , Easterling, D.R., Karl, T.R., and Hughes, P.Y. (1991). Effects of Recent Thermometer Changes in the Cooperative Network, Bulletin of the American Meteorological Society 72: 1718–23.

    Article  Google Scholar 

  • Redmond, K.T., Janis, M.J., and Hubbard, K.G. (2003). Climate Reference Network Site Reconnaissance: Lessons Learned and Relearned. Preprints, 12th Symposium on Meteorological Observations and Instrumentation, Paper #6.4. AMS Meteorological Society, Boston, MA.

    Google Scholar 

  • Rosner, S. (2002). GCOS Surface Network Monitoring Centre. http://www.gsnmc.dwd.de/Background/background.htm/

    Google Scholar 

  • Schwartz, B.E. (1990). Regarding the Automation of Rawinsonde Observations, Weather and Forecasting 5: 167–71.

    Article  Google Scholar 

  • Schwartz, B.E. and Doswell III, C.A. (1991). North American Rawinsonde Observations: Problems, Concerns and a Call to Action, Bulletin of the American Meteorological Society 72: 1885–96.

    Article  Google Scholar 

  • Seidel, D.J. and Dune, I. (2003). Comments on Trends in Low and High Cloud Boundaries and Errors in Height Determination of Cloud Boundaries, Bulletin of the American Meteorological Society 84: 237–40.

    Article  Google Scholar 

  • Slonaker, R.L., Schwartz, B.E., and Emery, W.J. (1996). Occurrence of Nonsurface Superadiabatic Lapse Rates Within RAOB Data, Weather and Forecasting 11: 350–59.

    Article  Google Scholar 

  • Trenberth, K.E., Karl, T.R., and Spence, T.W. (2002). The Need for a Systems Approach to Climate Observations, Bulletin of the American Meteorological Society 83: 1593–1602.

    Article  Google Scholar 

  • Tuomenvirta, H. (2001). Homogeneity Adjustments of Temperature and Precipitation Series– Finnish and Nordic data, International Journal of Climatology 21: 495–506.

    Article  Google Scholar 

  • Vincent, L.A. (1998). A Technique for the Identification of Inhomogeneities in Canadian Temperature Series, Journal of Climate 11: 1094–1104.

    Article  Google Scholar 

  • Vose, R.S., Schmoyer, R.L., Steurer, P.M., Peterson, T.C., Heim, R., Karl, T.R., and Eischeid, J.K. (1998). Global Historical Climatology Network, 1753–1990, Dataset. Available at http://ww.daac.ornl.gov from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, TN. Previously published as The Global Historical Climatology Network: Long-Term Monthly Temperature, Precipitation, Sea Level Pressure and Station Pressure Data, ORNL/CDIAC-53, CDIAC NDP-041, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, TN, 1992.

    Google Scholar 

  • Wallis, T.W.R. (1998). A Subset of Core Stations from the Comprehensive Aerological Reference Dataset (CARDS), Journal of Climate 11: 272–82.

    Article  Google Scholar 

  • Wang, J.H., Cole, H.L., Carlson, D.J., Milller, E.R., Beierle, K., Paukkunen, A., and Laine, T.K. (2002). Corrections of Humidity Measurement Errors from the Vaisala RS80 Radiosonde—Application to TOGA COARE Data, Journal of Atmospheric and Oceanic Technology 19: 981–1002.

    Article  Google Scholar 

  • Williams, C., Vose, R., and Easterling, D.R. (2003). The 2002 U.S. Historical Climate Network Upgrade. Presentation at the Annual Meeting of the Association of American Geographers, March 5, 2003, New Orleans, LA.

    Google Scholar 

  • Zhai, P. and Eskridge, R.E. (1996). Analyses of Inhomogeneities in Radiosonde Temperature and Humidity Time Series, Journal of Climate 9: 884–94.

    Article  Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer Science+Business Media New York

About this chapter

Cite this chapter

Winkler, J.A. (2004). The Impact of Technology Upon In Situ Atmospheric Observations and Climate Science. In: Brunn, S.D., Cutter, S.L., Harrington, J.W. (eds) Geography and Technology. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-2353-8_20

Download citation

  • DOI: https://doi.org/10.1007/978-1-4020-2353-8_20

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-1871-8

  • Online ISBN: 978-1-4020-2353-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics