A New Approach to Homogenize Daily Radiosonde Humidity Data

作者：Dai Aiguo^*; Wang Junhong; Thorne Peter W; Parker David E; Haimberger Leopold; Wang Xiaolan L

来源：Journal of Climate, 2011, 24(4): 965-991.

DOI：10.1175/2010JCLI3816.1

• Air temperature
• Artificial sampling
• Breakpoint
• Change point detection
• Change-points
• Data source
• Dewpoint
• Global coverage
• Historical records
• In-situ observations
• Kolmogorov-Smirnov
• Matching algorithm
• Mean shift
• New approaches
• Other applications
• Radiosonde temperature
• Relative humidities
• Water vapor contents

Radiosonde humidity records represent the only in situ observations of tropospheric water vapor content with multi-decadal length and quasi-global coverage. However, their use has been hampered by ubiquitous and large discontinuities resulting from changes to instrumentation and observing practices. Here a new approach is developed to homogenize historical records of tropospheric (up to 100 hPa) dewpoint depression (DPD), the archived radiosonde humidity parameter. Two statistical tests are used to detect changepoints, which are most apparent in histograms and occurrence frequencies of the daily DPD: a variant of the Kolmogorov Smirnov (K-S) test for changes in distributions and the penalized maximal F test (PMFred) for mean shifts in the occurrence frequency for different bins of DPD. These tests capture most of the apparent discontinuities in the daily DPD data, with an average of 8.6 changepoints (similar to 1 changepoint per 5 yr) in each of the analyzed radiosonde records, which begin as early as the 1950s and ended in March 2009. Before applying breakpoint adjustments, artificial sampling effects are first adjusted by estimating missing DPD reports for cold (T < -30 degrees C) and dry (DPD artificially set to 30 degrees C) conditions using empirical relationships at each station between the anomalies of air temperature and vapor pressure derived from recent observations when DPD reports are available under these conditions. Next, the sampling-adjusted DPD is detrended separately for each of the 4-10 quantile categories and then adjusted using a quantile-matching algorithm so that the earlier segments have histograms comparable to that of the latest segment. Neither the changepoint detection nor the adjustment uses a reference series given the stability of the DPD series.
Using this new approach, a homogenized global, twice-daily DPD dataset (available online at www.cgd.ucar.edu/cas/catalog/) is created for climate and other applications based on the Integrated Global Radiosonde Archive (IGRA) and two other data sources. The adjusted-daily DPD has much smaller and spatially more coherent trends during 1973-2008 than the raw data. It implies only small changes in relative humidity in the lower and middle troposphere. When combined with homogenized radiosonde temperature, other atmospheric humidity variables can be calculated, and these exhibit spatially more coherent trends than without the DPD homogenization. The DPD adjustment yields a different pattern of change in humidity parameters compared to the apparent trends from the raw data. The adjusted estimates show an increase in tropospheric water vapor globally.

• 出版日期2011-2-15