Influences of climate change and its interannual variability on surface energy fluxes from 1948 to 2000
Understanding changes in land surface processes over the past several decades requires knowledge of trends and interannual variability in surface energy fluxes in response to climate change. In our study, the Community Land Model version 3.5 (CLM3.5), driven by the latest updated hybrid reanalysis-observational surface climate data from Princeton University, is used to obtain global distributions of surface energy fluxes during 1948 to 2000. Based on the climate data and simulation results, long-term trends and interannual variability (IAV) of both climatic variables and surface energy fluxes for this span of 50+ years are derived and analyzed. Regions with strong long-term trends and large IAV for both climatic variables and surface energy fluxes are identified. These analyses reveal seasonal variations in the spatial patterns of climate and surface fluxes; however, spatial patterns in trends and IAV for surface energy fluxes over the past ∼50 years do not fully correspond to those for climatic variables, indicating complex responses of land surfaces to changes in the climatic forcings.
Key wordsclimate change surface energy fluxes trends interannual variability
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- Bonan, G. B., 2002: Ecological Climatology: Concepts and Applications. Cambridge University Press, 678pp.Google Scholar
- Cosgrove, B. A., and Coauthors, 2003: Land surface model spin-up behavior in the Northe American Land Data Assimilation System (NLDAS). J. Geophys. Res., 108, doi: 10.1029/2002JD003316.Google Scholar
- Fan, Y., and H. V. D. Dool, 2004: Climate prediction center global monthly soil moisture data set at 0.5° resolution for 1948 to present. J. Geophys. Res., 109, doi: 10.1029/2003JD004345.Google Scholar
- Field, C. B., D. B. Lobell, H. A. Peters, and N. R. Chiariello, 2007: Feedbacks of terrestrial ecosystems to climate change. Annual Reviews, 32, 1–29.Google Scholar
- Huntington, T. G., 2006: Evidence for intensification of the global water cycle: Review and synthesis. Journal of Hydrometeorology, 319, 83–95.Google Scholar
- IPCC, 2007: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Solomon et al., Eds., Cambridge Univ. Press, New York, 996pp.Google Scholar
- Jones, P. D., and A. Moberg, 2003: Hemispheric and large-scale surface air temperature variations: An extensive revision and update to 2001. J. Climate, 16, 306–223.Google Scholar
- Lugina, K. M., P. Y. Groisman, K. Y. Vinnikov, V. V. Koknaeva, and N. A. Speranskaya, 2005: Monthly surface air temperature time series area-averaged over the 30-degree latitudinal belts of the globe, 1881–2004. Trends: A Compendium of Data on Global Change. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, US Department of Energy, Oak Ridge, TN. [Available at: http://cdiac.esd.ornl.gov/trends/temp/lugina/lugina.html.]Google Scholar
- Oleson, K. W., and Coauthors, 2004: Technical Description of the Community Land Model (CLM3). NCAR/TN-461+STR, NCAR TECHNICAL NOTE, Boulder, Colorado, 186pp.Google Scholar
- Peterson, T. C., and R. S. Vose, 1997: An overview of the Global Historical Climatoloty Network temperature database. Bulletin of the American Meteorological Society, 78, 2873–2848.Google Scholar
- Rudolf, B., H. Hauschild, W. Rueth, and U. Schneider, 1994: Terrestrial precipitation analysis: Operational method and required density of point measurements. Global Precipitations and Climate Change, Bubois and Désalmand, Eds., NATO ASI Series I, 26, Springer Verlag, Berlin, 173–186.Google Scholar
- Wang, J. X. L., and D. J. Gaffen, 2001: Trends in extremes of surface humidity, temperatures and summertime heat stress in China. Adv. Atmos. Sci., 18, 742–751.Google Scholar