DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Comment on “Five Decades of Observed Daily Precipitation Reveal Longer and More Variable Drought Events Across Much of the Western United States”

Journal Article · · Geophysical Research Letters

Changes in precipitation patterns with climate change could have important impacts on human and natural systems. Zhang et al. report trends in daily precipitation patterns over the last five decades in the western United States, focusing on meteorological drought. They report that dry intervals (calculated at the annual or seasonal level) have increased across much of the southwestern U.S., with statistical assessment suggesting the results are statistically robust. However, Zhang et al. preprocess their annual (or seasonal) averages to compute 5-year moving window averages before using established statistical techniques for trend analysis that assume independence about some fixed trend. Here we show that the moving window preprocessing violates that independence assumption and inflates the statistical significance of their trend estimates. This raises questions about the robustness of their results. We conclude by discussing the difficulty of adjusting for spatial structure when assessing time trends in a regional context.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE; USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth And Environmental Systems Science (EESS)
Grant/Contract Number:
AC02-05CH11231; DE‐AC02‐05CH11231
OSTI ID:
2278732
Alternate ID(s):
OSTI ID: 2278733; OSTI ID: 2283452; OSTI ID: 2337618
Journal Information:
Geophysical Research Letters, Vol. 51, Issue 1; ISSN 0094-8276
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English

References (7)

False discovery control in large-scale spatial multiple testing
  • Sun, Wenguang; Reich, Brian J.; Tony Cai, T.
  • Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 77, Issue 1 https://doi.org/10.1111/rssb.12064
journal April 2014
Estimates of the Regression Coefficient Based on Kendall's Tau journal December 1968
The influence of autocorrelation on the ability to detect trend in hydrological series journal January 2002
Exact distribution of the Mann–Kendall trend test statistic for persistent data journal February 2009
Spatially Dependent Multiple Testing Under Model Misspecification, With Application to Detection of Anthropogenic Influence on Extreme Climate Events journal June 2018
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing journal January 1995
Conditional calibration for false discovery rate control under dependence journal December 2022