id:"swepub:oai:gup.ub.gu.se/286061"
Search: id:"swepub:oai:gup.ub.gu.se/286061" > More realistic land...
- 1 of 1
- Previous record
- Next record
- To hitlist
- Gou, J. J. (author)
More realistic land-use and vegetation parameters in a regional climate model reduce model biases over China
- Article/chapterEnglish2019
Publisher, publication year, extent ...
- 2019-05-13
- Wiley,2019
Numbers
- LIBRIS-ID:oai:gup.ub.gu.se/286061
- https://gup.ub.gu.se/publication/286061URI
- https://doi.org/10.1002/joc.6110DOI
Supplementary language notes
- Language:English
Part of subdatabase
- SwePubSwePub
Classification
Notes
- Accurate vegetation cover data are important for realistic simulation of regional climate. The default vegetation parameters from Global Land Cover 2000, currently incorporated into global climate models and used in regional climate model RegCM, are not realistic for China, which may have contributed to serious bias in surface climate simulation. In this study, a new set of vegetation parameters considering the Plant Functional Type (PFT) fractions and the corresponding monthly leaf area index (PFT_LAI), were developed based on the land cover and MODIS LAI data sets. The regional climate model RegCM4.5 coupled with the land surface model CLM4.5 were utilized to test the performance of the new vegetation parameters by comparing simulations with observations using different surface parameters. The surface energy balance was analysed to examine the effects of changed vegetation parameters on regional climate. The results showed that the new parameters were more accurate than the GLC2000 parameters when describing the distribution of crops, grassland, and forests over China. The improved vegetation parameters reduced model biases for winter air temperature and precipitation over southern China by 0.9 degrees C and 8%, respectively, and reduced the winter temperature and summer precipitation biases over northeastern China by approximately 0.7 degrees C and 8%, respectively. More accurate surface albedo are the main reasons for reductions in model bias. However, certain biases, such as the cold and dry bias over the Tibetan Plateau, still remained in the simulation results using our new vegetation data.
Subject headings and genre
- NATURVETENSKAP Geovetenskap och miljövetenskap hsv//swe
- NATURAL SCIENCES Earth and Related Environmental Sciences hsv//eng
- China
- CLM
- improved climate simulations
- plant functional type
- RegCM
- cover changes
- regcm4
- temperature
- rainfall
- impacts
- dataset
- Meteorology & Atmospheric Sciences
Added entries (persons, corporate bodies, meetings, titles ...)
- Wang, F. (author)
- Jin, K. (author)
- Mu, X. M. (author)
- Chen, Deliang,1961Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences(Swepub:gu)xchede (author)
- Göteborgs universitetInstitutionen för geovetenskaper (creator_code:org_t)
Related titles
- In:International Journal of Climatology: Wiley39:12, s. 4825-48370899-84181097-0088
Internet link
Find in a library
- International Journal of Climatology (Search for host publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Gou, J. J.
- Wang, F.
- Jin, K.
- Mu, X. M.
- Chen, Deliang, 1 ...
- About the subject
-
- NATURAL SCIENCES
- NATURAL SCIENCES
- and Earth and Relate ...
- Articles in the publication
- International Jo ...
- By the university
- University of Gothenburg
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
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.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
