Assessment of human bio-meteorological environment over the Tibetan Plateau region based on CORDEX climate model projections

This research mainly evaluates the human bio-meteorological conditions and its changes in the Tibetan Plateau over the past 27 years under the simulation of regional climate models of HadGEM3-RA and RegCM from the CORDEX-East Asia experiments by using the Universal Thermal Climate Index (UTCI). Both...

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Bibliographic Details
Published in:Theoretical and applied climatology 2019-07, Vol.137 (1-2), p.893-907
Main Authors: Chi, Xiaoli, Cubasch, Ulrich, Sodoudi, Sahar
Format: Article
Language:English
Subjects:
Analysis
Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Atmospheric Sciences
Climate change
Climate models
Climate science
Climatic indexes
Climatology
Cold
Computer simulation
Dependence
Earth and Environmental Science
Earth Sciences
Global temperature changes
Meteorological conditions
Migration
Original Paper
Plateaus
Policies
Regional climate models
Regional climates
Thermal comfort
Thermal stress
Tourism
Urban planning
Waste Water Technology
Water Management
Water Pollution Control
Weather
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Summary:This research mainly evaluates the human bio-meteorological conditions and its changes in the Tibetan Plateau over the past 27 years under the simulation of regional climate models of HadGEM3-RA and RegCM from the CORDEX-East Asia experiments by using the Universal Thermal Climate Index (UTCI). Both models are able to reproduce the present climate realistically. As an extension, the human thermal comfort information about Tibetan Plateau in the next 27 years is projected under the scenarios of RCP4.5 and RCP8.5. The results show that UTCI in Tibetan Plateau covers four stress categories, namely strong cold stress, moderate cold stress, slight cold stress, no thermal stress, and cold stresses, is prevailing throughout the whole year. A small amount of no thermal stress category appears in the summer period and the human bio-meteorological condition is most stable at the same period, especially from July to September. According to the projections in the near future, with climate change taken into account, annual cumulative pleasant days will increase significantly while the cold stresses days will reduce. The distribution frequency of UTCI categories varies among regions showing clear altitude/latitude dependency. Lhasa, Xining, and Yushu will be the top three cities in terms of thermal favourability by analysing the results of both models. The policy of migration, urban planning, tourism authorities, travel agencies, resorts, and tourists in Tibetan Plateau could be beneficial from these results.
ISSN:0177-798X
1434-4483
DOI:10.1007/s00704-018-2632-0