000171365 001__ 171365
000171365 005__ 20190316235239.0
000171365 0247_ $$2doi$$a10.1016/j.agrformet.2011.03.005
000171365 02470 $$2ISI$$a000291283300023
000171365 037__ $$aARTICLE
000171365 245__ $$aExtreme temperature analysis under forest cover compared to an open field
000171365 269__ $$a2011
000171365 260__ $$c2011
000171365 336__ $$aJournal Articles
000171365 520__ $$aWe analyse air temperature data from 14 sites in Switzerland, each with two weather stations in close proximity, one under a forest canopy and the other in the open. We use the statistics of extremes to investigate how extremely high maximum and extremely low minimum temperatures depend on the effect of forest cover. Our analysis shows that temperature maxima at two nearby stations are less dependent than are temperature minima. Maxima under the canopy are influenced by altitude: for higher sites, the maxima are less variable and depend less on the open-field data. Southerly orientations increase the dependence of minimum temperatures and so reduce the sheltering effect during cold periods. Extreme maximum and minimum temperatures occur less within conifer forests, indicating that the insulation provided by conifers all over the year is more efficient than that provided by deciduous species. Steepness of slopes has a complex impact on distributions of extremes and on their dependence. (C) 2011 Elsevier B.V. All rights reserved.
000171365 6531_ $$aAtmospheric temperature
000171365 6531_ $$aBivariate extreme-value distribution
000171365 6531_ $$aExtreme temperature
000171365 6531_ $$aForest canopy
000171365 6531_ $$aGeneralized Pareto distribution
000171365 6531_ $$aStatistics of extremes
000171365 6531_ $$aClimatic Conditions
000171365 6531_ $$aVariability
000171365 6531_ $$aDensity
000171365 6531_ $$aSummer
000171365 6531_ $$aEvents
000171365 6531_ $$aModels
000171365 700__ $$0243083$$aFerrez, J.$$g137614
000171365 700__ $$0240476$$aDavison, A. C.$$g111184
000171365 700__ $$0244113$$aRebetez, M.$$g109936
000171365 773__ $$j151$$q992-1001$$tAgricultural And Forest Meteorology
000171365 8564_ $$s854332$$uhttps://infoscience.epfl.ch/record/171365/files/Agricultural%20and%20Forest%20Meteorology%202011%20Ferrez.pdf$$yPublisher's version$$zPublisher's version
000171365 909C0 $$0252136$$pSTAT$$xU10124
000171365 909C0 $$0252129$$pECOS$$xU11021
000171365 909CO $$ooai:infoscience.tind.io:171365$$particle$$pENAC$$pSB$$qGLOBAL_SET
000171365 917Z8 $$x111184
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000171365 937__ $$aEPFL-ARTICLE-171365
000171365 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000171365 980__ $$aARTICLE