Ontology highlight
ABSTRACT:
SUBMITTER: Sun F
PROVIDER: S-EPMC5878000 | biostudies-literature | 2018 Mar
REPOSITORIES: biostudies-literature
Proceedings of the National Academy of Sciences of the United States of America 20180220 10
There is a growing research interest in the detection of changes in hydrologic and climatic time series. Stationarity can be assessed using the autocorrelation function, but this is not yet common practice in hydrology and climate. Here, we use a global land-based gridded annual precipitation (hereafter <i>P</i>) database (1940-2009) and find that the lag 1 autocorrelation coefficient is statistically significant at around 14% of the global land surface, implying nonstationary behavior (90% conf ...[more]