Key points are not available for this paper at this time.
Abstract The development of homogeneous climatological time series is a crucial step in examining climate fluctuations and change. We review and test methods that have been proposed previously for detecting inhomogeneities, and introduce a new method we have developed. This method is based on a combination of regression analysis and non‐parametric statistics. After evaluation against other techniques, using both simulated and observed data, our technique appears to have the best overall performance.
Building similarity graph...
Analyzing shared references across papers
Loading...
David R. Easterling
University of Illinois Urbana-Champaign
Thomas C. Peterson
Johns Hopkins University
International Journal of Climatology
NOAA National Centers for Environmental Information
NOAA National Environmental Satellite Data and Information Service
Building similarity graph...
Analyzing shared references across papers
Loading...
Easterling et al. (Sat,) studied this question.
synapsesocial.com/papers/6a11c40ab111c70e786183b8 — DOI: https://doi.org/10.1002/joc.3370150403