reference : Detection and attribution of observed changes in Northern Hemisphere spring snow cover

JSON YAML text HTML Turtle N-Triples JSON Triples RDF+XML RDF+JSON Graphviz SVG
/report/climate-science-special-report/reference/5d53feca-729f-4b68-ba22-8022f94af9b4
Bibliographic fields
reftype Journal Article
Abstract Significant declines in spring Northern Hemisphere (NH) snow cover extent (SCE) have been observed over the last five decades. As one step toward understanding the causes of this decline, an optimal fingerprinting technique is used to look for consistency in the temporal pattern of spring NH SCE between observations and simulations from 15 global climate models (GCMs) that form part of phase 5 of the Coupled Model Intercomparison Project. The authors examined simulations from 15 GCMs that included both natural and anthropogenic forcing and simulations from 7 GCMs that included only natural forcing. The decline in observed NH SCE could be largely explained by the combined natural and anthropogenic forcing but not by natural forcing alone. However, the 15 GCMs, taken as a whole, underpredicted the combined forcing response by a factor of 2. How much of this underprediction was due to underrepresentation of the sensitivity to external forcing of the GCMs or to their underrepresentation of internal variability has yet to be determined.
Author David E. Rupp; Philip W. Mote; Nathaniel L. Bindoff; Peter A. Stott; David A. Robinson
DOI 10.1175/JCLI-D-12-00563.1
Issue 18
Journal Journal of Climate
Keywords Northern Hemisphere,Snow,Statistical techniques,Climate models,Anthropogenic effects
Pages 6904-6914
Title Detection and attribution of observed changes in Northern Hemisphere spring snow cover
Volume 26
Year 2013
Bibliographic identifiers
.reference_type 0
_record_number 20215
_uuid 5d53feca-729f-4b68-ba22-8022f94af9b4