English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Warming patterns over the Tibetan Plateau and adjacent lowlands derived from elevation- and bias-corrected ERA-Interim data

Gerlitz, L., Conrad, O., Thomas, A., & Böhner, J. (2014). Warming patterns over the Tibetan Plateau and adjacent lowlands derived from elevation- and bias-corrected ERA-Interim data. Climate Research, 58, 235-246. doi:10.3354/cr01193.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Gerlitz, Lars, Author              
Conrad , O.1, Author
Thomas, A.1, Author
Böhner, Jürgen2, 3, Author              
Affiliations:
1external, ou_persistent22              
2A 2 - Climate Processes and Feedbacks, Research Area A: Climate Dynamics and Variability, The CliSAP Cluster of Excellence, External Organizations, ou_1863497              
3C 2 - Climate Change, Predictions, and Economy, Research Area C: Climate Change and Social Dynamics, The CliSAP Cluster of Excellence, External Organizations, Bundesstraße 53, 20146 Hamburg, DE, ou_1863488              

Content

show
hide
Free keywords: -
 Abstract: For many ecological processes, near-surface temperature is one of the main controlling parameters. Since meteorological observations in high mountains are sparse, climate model data are frequently used. State of the art climate reanalysis products or general circulation models have a horizontal spatial resolution on the order of 50 � 50 km, i.e. far too coarse to represent the spatial variability of near-surface temperatures in mountain regions. Based on the assumption that elevation is the main factor determining the distribution of temperatures, we present a SAGA-GIS based approach for elevation and bias correction of climate model output data. Modeled temperature and geopotential height at different pressure levels were used to derive local temperature profiles by means of a polynomial regression approach. Atmospheric temperatures at surface level can then be derived from the regression equation. Compared with a simple elevation adjustment of ERA-Interim near-surface temperatures using an invariant lapse rate of 0.65�C per 100 m, the method showed good results, particularly in complex terrain. The method was used to generate high-resolution daily temperature fields for a target area in Central Asia for the period from 1989 onwards. Gridded trends of different temperature indices were calculated. For winter and spring, the highest temperature trends were detected in the high mountain regions. In summer, the calculated trend magnitudes were generally smaller. During the post-monsoon season, trends were more pronounced at low elevations. For the southern slopes of the Himalayan Arc and the valleys of the Tibetan Plateau, a significant decrease in frost days and an increase in growing degree days were detected.

Details

show
hide
Language(s): eng - English
 Dates: 2014
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Climate Research
  Other : Clim. Res.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Amelinghausen, Germany : Inter-Research
Pages: - Volume / Issue: 58 Sequence Number: - Start / End Page: 235 - 246 Identifier: ISSN: 0936-577X
CoNE: https://pure.mpg.de/cone/journals/resource/954925570857