Homogeneous upper-air temperature time series are necessary for climate change detection and attribution. About 20 participants met at the National Climatic Data Center in Asheville, North Carolina on 11–12 October 2000 to discuss methods of adjusting radiosonde data for inhomogeneities arising from instrument and other changes. Representatives of several research groups described their methods for identifying change points and adjusting temperature time series and compared the results of applying these methods to data from 12 radiosonde stations. The limited agreement among these results and the potential impact of these adjustments on upper-air trends estimates indicate a need for further work in this area and for greater attention to homogeneity issues in planning future changes in radiosonde observations.
NOAA/Air Resources Laboratory, Silver Spring, Maryland
NOAA/National Climatic Data Center, Asheville, North Carolina
NOAA/National Climatic Data Center, Asheville, North Carolina and Universitat Rovira i Virgili, Tarragona, Spain
University of Dayton Research Institute, Dayton, Ohio
Hadley Centre, Met Office, Bracknell, United Kingdom
NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
University of Alabama, Huntsville, Alabama
Texas A&M University, College Station, Texas
NOAA/National Environmental Satellite, Data, and Information Service, Camp Springs, Maryland
Cooperative Institute for Research in the Environmental Sciences, University of Colorado, Boulder, Colorado