Dai, A., Wang, Junhong, Thorne, Peter, Parker, D.E., Haimberger, L. and Wang, Xiaolang (2011) A New Approach to Homogenize Daily Radiosonde Humidity Data. Journal of Climate, 24 (4). pp. 965-991. ISSN 0894-8755
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Abstract
Radiosonde humidity records represent the only in situ observations of tropospheric water vapor content with multidecadal
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 aremost 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 (;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 missingDPDreports for cold (T ,2308C) and dry (DPDartificially
set to 308C) 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 samplingadjusted
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-dailyDPDdataset (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 troposphericwater vapor globally.
Item Type: | Article |
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Keywords: | Homogenize; Daily Radiosonde Humidity Data; |
Academic Unit: | Faculty of Social Sciences > Geography Faculty of Social Sciences > Research Institutes > Irish Climate Analysis and Research Units, ICARUS |
Item ID: | 6528 |
Identification Number: | 10.1175/2010JCLI3816.1 |
Depositing User: | Peter Thorne |
Date Deposited: | 04 Nov 2015 16:04 |
Journal or Publication Title: | Journal of Climate |
Publisher: | American Meteorological Society |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/6528 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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