Mots-clés
Analyse de régression ; Changement climatique ; Chine ; Climat régional ; Haute montagne ; Infrastructure ; Modèle ; Pergélisol ; Plateau ; Périglaciaire ; Qinghai ; Régime thermique ; Température de l'air ; Température du sol ; Tibet ; Utilisation du sol ; Zone froideAir temperature ; China ; Climatic change ; Cold area ; High mountain ; Infrastructure ; Land use ; Model ; Periglacial features ; Permafrost ; Plateau ; Qinghai ; Regional climate ; Regression analysis ; Soil temperature ; Thermal regime ; TibetAlta montaña ; Análisis de regresión ; Aprovechamiento del suelo ; Cambio climático ; China ; Clima regional ; Infraestructura ; Meseta ; Modelo ; Pergelisol ; Periglaciar ; Régimen térmico ; Temperatura del aire ; Temperatura del suelo ; Tibet ; Tsinghai ; Zona fríaA new method to determine the upper boundary condition for a permafrost thermal model : an example from the Qinghai-Tibet Plateau
Auteur(s) et Affiliation(s)
ZHANG, M.
State Key Lab. of Frozen Soil Engineering, Cold and Arid Regions Environmental and Engineering Research Inst., Chinese Academy of Sciences, Lanzhou, Chine
Dept. of Earth, Atmospheric, and Planetary Science, Purdue Univ., Lafayette, Etats-Unis
MIN, K.-H
Dept. of Earth, Atmospheric, and Planetary Science, Purdue Univ., Lafayette, Etats-Unis
Center for Atmospheric Remote Sensing, Kyungpook National Univ., Daegu, Coree, Republique de
WU, Q.
State Key Lab. of Frozen Soil Engineering, Cold and Arid Regions Environmental and Engineering Research Inst., Chinese Academy of Sciences, Lanzhou, Chine
ZHANG, J.
State Key Lab. of Frozen Soil Engineering, Cold and Arid Regions Environmental and Engineering Research Inst., Chinese Academy of Sciences, Lanzhou, Chine
HARBOR, J.
Dept. of Earth, Atmospheric, and Planetary Science, Purdue Univ., Lafayette, Etats-Unis
Description :
The AA. report on an approach designed to predict time series of air, ground surface and shallow ground temperatures at a spatial scale for engineering design of a railway or highway project. The approach uses a regional-scale atmospheric model to downscale global climate model output, and then stepwise multiple regression to develop an equation that provides a best-fit prediction of site-specific observational data using bilinearly interpolated output from the atmospheric model. This approach bridges the scale difference between atmospheric climate models and permafrost thermal models, and allows for a wider range of factors to be used in predicting the thermal boundary condition. For a research site located in Beiluhe, close to the Qinghai-Tibet Railway, a comparison of model predictions with observational data not used in the construction of the model shows that this method can be used with a high degree of accuracy to determine the upper boundary condition for a permafrost thermal model.
Type de document :
Article de périodique
Source :
Permafrost and periglacial processes, issn : 1045-6740, 2012, vol. 23, n°. 4, p. 301-311, nombre de pages : 11, Références bibliographiques : 1 p.
Date :
2012
Editeur :
Pays édition : Royaume-Uni, Chichester, Wiley
Langue :
Anglais
Anglais
Droits :
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)