Ontology highlight
ABSTRACT:
SUBMITTER: Krinner G
PROVIDER: S-EPMC6156650 | biostudies-literature | 2018 Sep
REPOSITORIES: biostudies-literature
Krinner Gerhard G Flanner Mark G MG
Proceedings of the National Academy of Sciences of the United States of America 20180904 38
Because all climate models exhibit biases, their use for assessing future climate change requires implicitly assuming or explicitly postulating that the biases are stationary or vary predictably. This hypothesis, however, has not been, and cannot be, tested directly. This work shows that under very large climate change the bias patterns of key climate variables exhibit a striking degree of stationarity. Using only correlation with a model's preindustrial bias pattern, a model's 4xCO<sub>2</sub> ...[more]