Sơ đồ BATS và ứng dụng trong việc tính các dòng trao đổi năng lượng và nuwocs giữa bề mặt đất - khí quyển
Main Article Content
Abstract
In this study we use BATS scheme to investigate the energy and water fluxes
between land surfaces and atmosphere with five different scenarios, denoted by
THI, TH2, TH3a, TH3b and TH4. Four types of vegetation/land - cover are chosen,
which consist of crop (Si), evergreen needle leaf tree (S2), evergreen broadleaf tree
(S4), and tall grass (S4). For each scenario, set of parameters representing
characters of vegetation/land-cover types, atmospheric forces, such as the fractional
vegetation cover, the initial values of soil moisture in soil layers, the precipitation
rate and frequency, are given. The results showed that, latent heat, sensitive heat
fluxes and run - off are rather sensitive with land surface types. In the same
driving forces of atmosphere, fluxes from/to the land surface with larger of
fractional vegetation cover are stronger. The increase of precipitation rate (TH2)
lead to much more increasing run - off from surface type of S3 than other. In the
case of long time without precipitation, sensitive heat fluxes from land surface
types to atmosphere are strongly increased.
i
between land surfaces and atmosphere with five different scenarios, denoted by
THI, TH2, TH3a, TH3b and TH4. Four types of vegetation/land - cover are chosen,
which consist of crop (Si), evergreen needle leaf tree (S2), evergreen broadleaf tree
(S4), and tall grass (S4). For each scenario, set of parameters representing
characters of vegetation/land-cover types, atmospheric forces, such as the fractional
vegetation cover, the initial values of soil moisture in soil layers, the precipitation
rate and frequency, are given. The results showed that, latent heat, sensitive heat
fluxes and run - off are rather sensitive with land surface types. In the same
driving forces of atmosphere, fluxes from/to the land surface with larger of
fractional vegetation cover are stronger. The increase of precipitation rate (TH2)
lead to much more increasing run - off from surface type of S3 than other. In the
case of long time without precipitation, sensitive heat fluxes from land surface
types to atmosphere are strongly increased.
i
References
1. Giogri F., Modeling Land Surface Processes in Climayte Models, I, II, III, Workshop on Land-Atmosphere Interactions in Climate Models, The abdus salam international centre for theoretical physics, ICTP, Italy, 2001.
2. Avissar R., A conceptual aspects of a statistical dynamical approcah to
represetation of landscape subgrid scale heteorogeneitu in atmosphereic model,Journal o f Geophgysical Research, V97, No D3, February 1992, pp.2729-2742.t
3. Avissar R. and Piekle R., A parameterization of heterogeneous surface land surface for atmospheric numerical model and its impact on regional meteorology, Month Weather Review, V117, 1989, pp. 2113-2136.
4. Piekle R. et al., Interations between the atmosphere and terrestial ecosystem: influence on weather and climate, Global Change Biology, 1998,4, pp.461-475.
5. Viterbo p., A reviews of parameterization of land surface, Meteorological training course lecture series o f ECMWF, 2003, 49p.
6. Dickinson R. et al., Biosphere-Atmosphere Transfer Scheme (BATS) version le as coupled to the NCAR Community Climate Model, NCAR/TN-387+STR, NCAR Tech. Note, 1993. 72p.
7. Pitman A. J., Assessing the Sensitivity of a Land Surface Scheme to the Parameter Values Using a Single Column Model, Journal of Climate, Vol 7, 1994, pp. 1856-1869.
8. Wilson M. F. et al., Sensitiveity of the Biosphere-Atmospheree Transfer Scheme (BATS) to the Inclusion of Variable Soil Characteristics, Journal o f Climate and Applied Meteorology, Vol 26, 1987, pp.341-362.
9. Milhailovic D. T. et al., A study of the sensitivity of land surface parameterizations to the inclusion of different fractional covers and soil textures, Journal o f Applied Meteorology, Vol 31, pp. 1477-1487.
2. Avissar R., A conceptual aspects of a statistical dynamical approcah to
represetation of landscape subgrid scale heteorogeneitu in atmosphereic model,Journal o f Geophgysical Research, V97, No D3, February 1992, pp.2729-2742.t
3. Avissar R. and Piekle R., A parameterization of heterogeneous surface land surface for atmospheric numerical model and its impact on regional meteorology, Month Weather Review, V117, 1989, pp. 2113-2136.
4. Piekle R. et al., Interations between the atmosphere and terrestial ecosystem: influence on weather and climate, Global Change Biology, 1998,4, pp.461-475.
5. Viterbo p., A reviews of parameterization of land surface, Meteorological training course lecture series o f ECMWF, 2003, 49p.
6. Dickinson R. et al., Biosphere-Atmosphere Transfer Scheme (BATS) version le as coupled to the NCAR Community Climate Model, NCAR/TN-387+STR, NCAR Tech. Note, 1993. 72p.
7. Pitman A. J., Assessing the Sensitivity of a Land Surface Scheme to the Parameter Values Using a Single Column Model, Journal of Climate, Vol 7, 1994, pp. 1856-1869.
8. Wilson M. F. et al., Sensitiveity of the Biosphere-Atmospheree Transfer Scheme (BATS) to the Inclusion of Variable Soil Characteristics, Journal o f Climate and Applied Meteorology, Vol 26, 1987, pp.341-362.
9. Milhailovic D. T. et al., A study of the sensitivity of land surface parameterizations to the inclusion of different fractional covers and soil textures, Journal o f Applied Meteorology, Vol 31, pp. 1477-1487.