The surface energy, water, carbon flux and their intercorrelated seasonality in a global climate‐vegetation coupled model
作者： Li Dan , Ji Jinjun
DOI: 10.1111/J.1600-0889.2007.00274.X
关键词:
摘要: The sensible and latent heat fluxes, representatives of the physical exchange processes energy water between land air, are two crucial variables controlling surface partitioning related to temperature humidity. net primary production (NPP), major carbon flux vegetation atmosphere, is great importance for terrestrial ecosystem cycle. fluxes simulated by a two-way coupled model, Atmosphere-Vegetation Interaction Model-Global Ocean-Atmosphere-Land System Model (AVIM-GOALS) in which physiological with general circulation model (GCM), global spatial temporal variation studied. consistent 40-yr European Centre Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA40) distribution, but magnitudes generally 20–40 W/m 2 underestimated. annual NPP agrees well International Geosphere Biosphere Programme (IGBP) data except lower value northern high latitudes. leaf area index (LAI) mid-latitudes, especially 30 °N–50 °N, show oscillation amplitudes. And all biological fields mid-latitudes have largest seasonality statistical significance 99.9%. LAI highly correlated each other. meridional three-peak pattern seasonal change emerges indicates interaction topographical gradient phenology on these three latitudinal belts. DOI: 10.1111/j.1600-0889.2007.00274.x
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