SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:gup.ub.gu.se/182075"
 

Search: onr:"swepub:oai:gup.ub.gu.se/182075" > Statistical downsca...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Statistical downscaling of summer temperature extremes in northern China

Fan, Lijun (author)
Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences
Chen, Deliang, 1961 (author)
Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences
Fu, C. B. (author)
show more...
Yan, Z. W. (author)
show less...
 (creator_code:org_t)
2013-06-18
2013
English.
In: Advances in Atmospheric Sciences. - : Springer Science and Business Media LLC. - 0256-1530 .- 1861-9533. ; 30:4, s. 1085-1095
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • Two approaches of statistical downscaling were applied to indices of temperature extremes based on percentiles of daily maximum and minimum temperature observations at Beijing station in summer during 1960-2008. One was to downscale daily maximum and minimum temperatures by using EOF analysis and stepwise linear regression at first, then to calculate the indices of extremes; the other was to directly downscale the percentile-based indices by using seasonal large-scale temperature and geo-potential height records. The cross-validation results showed that the latter approach has a better performance than the former. Then, the latter approach was applied to 48 meteorological stations in northern China. The cross-validation results for all 48 stations showed close correlation between the percentile-based indices and the seasonal large-scale variables. Finally, future scenarios of indices of temperature extremes in northern China were projected by applying the statistical downscaling to Hadley Centre Coupled Model Version 3 (HadCM3) simulations under the Representative Concentration Pathways 4.5 (RCP 4.5) scenario of the Fifth Coupled Model Inter-comparison Project (CMIP5). The results showed that the 90th percentile of daily maximum temperatures will increase by about 1.5A degrees C, and the 10th of daily minimum temperatures will increase by about 2A degrees C during the period 2011-35 relative to 1980-99.

Subject headings

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Meteorologi och atmosfärforskning (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Meteorology and Atmospheric Sciences (hsv//eng)
NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Geofysik (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Geophysics (hsv//eng)

Keyword

indices of temperature extremes
percentiles
statistical downscaling
future scenarios projection
climate-change scenarios
asia-pacific region
monthly precipitation
hong-kong
sweden
model
europe
trends

Publication and Content Type

ref (subject category)
art (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Find more in SwePub

By the author/editor
Fan, Lijun
Chen, Deliang, 1 ...
Fu, C. B.
Yan, Z. W.
About the subject
NATURAL SCIENCES
NATURAL SCIENCES
and Earth and Relate ...
and Meteorology and ...
NATURAL SCIENCES
NATURAL SCIENCES
and Earth and Relate ...
and Geophysics
Articles in the publication
Advances in Atmo ...
By the university
University of Gothenburg

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view