JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Estimation of Land Surface Energy Fluxes using CLM and VIC model
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Journal of Wetlands Research
  • Volume 18, Issue 2,  2016, pp.166-172
  • Publisher : Korean Wetlands Society
  • DOI : 10.17663/JWR.2016.18.2.166
 Title & Authors
Estimation of Land Surface Energy Fluxes using CLM and VIC model
Kim, Daeun; Ray, Ram L.; King, Seokkoo; Choi, Minha;
  PDF(new window)
 Abstract
Accurate understanding of land surface is essential to analyze energy exchanges between earth surface and atmosphere. For the quantization of energy fluxes, the various researches about Land Surface Model(LSM) have been progressed. Among the various LSMs, the researches using Common Land Model(CLM) and Variable Infiltration Capacity(VIC) model are performed briskly. The CLM which is advanced LSM can calculate realistic results with few user defined parameters. The VIC model which is also typical LSM is widely used for estimation of energy fluxes and runoff in various fields. In this study, the energy fluxes which are net radiation, sensible heat flux, and latent heat flux were estimated using CLM and VIC model at Southern Sierra-Critical Zone Observatory(SS-CZO) site in California, United States. In case of net radiation and sensible heat flux, both models showed good agreement with observations, however, the CLM showed underestimated patterns of net radiation and sensible heat flux during precipitation period. In case of latent heat flux, the CLM represented better estimation of latent heat flux than VIC model which underestimated the latent heat flux. Through the estimation of energy fluxes and analysis of models` pros and cons, the applicability of CLM and VIC models and need of multi-model application were identified.
 Keywords
Common Land Model;Variable Infiltration Capacity;Energy fluxes;
 Language
Korean
 Cited by
 References
1.
Abramowitz, G, Leuning, R, Clark, M and Pitman, A (2008). Evaluating the performance of land surface models. J. of Climate, 21, pp. 5468-5481. crossref(new window)

2.
Andersen, TK, Radcliffe, DE, and Shepherd, JM (2013). Quantifying surface energy fluxes in the vicinity of inland-tracking tropical cyclones, Journal Applied Meteorology and Climatology, 52, pp. 2797-2808. crossref(new window)

3.
Cherkauer, KA and Lettenmaier, DP (2003). Simulation of spatial variability in snow and frozen soil. J. of Geophysical Research: Atmospheres, 108, pp. D22.

4.
Choi, H (2008). Development of a Conjunctive Surface-Subsurface Flow Model for Use in Land Surace Model at a Large Scale: Part I. Model Description. J. of Korean Society of Hazard Mitication, 8(2), pp. 59-63. [Korean Literature]

5.
Choi, M, Lee, SO, and Kwon, H (2010). Understanding of the Common Land Model performance for water and energy fluxes in a farmland during the growing season in korea. Hydrological Processes, 24, pp. 1063-1071. [Korean Literature] crossref(new window)

6.
Dai, Y, Zeng, X, Dickinson, RE, Baker, I, Bonan, GB, Bosilovich, MG, Denning, AS, Dirmeyer, PA, Houser, PR, Niu, G, Oleson, KW, Schlosser, CA, and Yang, ZL (2003). The common land model. American Meteorological Society, 84(8), pp. 1013-1023. crossref(new window)

7.
Dickinson, RE, Henderson-Sellers, A, and Kennedy, PJ (1993). Biosphere-atmosphere transfer scheme (BATS) version 1e as coupled to the NCAR community climate model. NCAR Technical Note NCAR/TN-387+STR.

8.
Goulden, ML, Anderson, RG, Bales, RC, Kelly, AE, Meadows, M, and Winston, GC (2012). Evapotranspiration along an elevation gradient in California's Sierra Nevada. J. of Geophysical Research: Biogeosciences, 117, G3.

9.
Hong, J, Lee, HC, Kim, J, Kim, B, Cho, C, and Lee, S (2003). Inferring regional scale surface heat flux around FK KoFlux site: from one point tower measurement to MM5 mesoscale model, Korean J. of Agricultural and Forest Meteorology. 5(2), pp. 138-149. [Korean Literature]

10.
Huang, CL, Li, XH, Wang, JM, and Gu, J (2008). Assimilation of remote sensing data products into Common Land Model for evapotranspiration forecasting. Proceeding of 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Shanghai, China: World Academic Union, pp. 234-241.

11.
Henderson-Sellers, A (1996). Soil moisture simulation:Achievements of the RICE and PILPS intercomparison workshop and future directions. Global and Planetary, 13, pp. 99-115. crossref(new window)

12.
Jang, E, Moon, J, Hwang, SH, and Choi, M (2013). Estimation of Surface Fluxes Using Noah LSM and Assessment of the Applicability in Korean Peninsula. J. of Wetlands Research, 15(4), pp. 509-518. [Korean Literature] crossref(new window)

13.
Kim, D, Baek, J, Jung, SW, and Choi, M (2013). Net Radiation Estimation Using Flux Tower Data and Integrated Hydrological Model: For the Seolmacheon and Chungmichen Watersheds. J. of Korea Water Resources Association, 46(3), pp. 301-314. [Korean Literature] crossref(new window)

14.
Kim, D, Lim, YJ, Kang, M, and Choi, M (2016). Land response to atmosphere at different resolutions in the common land model over East Asia. Advances in Atmospheric Sciences, 33(3), pp. 391-408. crossref(new window)

15.
Kim, D, Lim, YJ, Lee, SO, and Choi, M (2011). Validation of Energy and Water Fluxes Using Korea Land Data Assimilation and Flux Tower Measurement: Haenam KoFlux Site's Hydro-Environment Analysis. J. of Korean Society of Civil Engineers, 31(3B), pp. 285-291. [Korean Literature]

16.
Lawrence, PJ and Chase, TN (2007). Representing a new MODIS consistent land surface in the Community Land Model (CLM 3.0). J. of Geophysical Research, Vol, G1, pp. G01023.

17.
Li, ZC, Wei, ZG, Wang, C, Zheng, ZY, Wei, H, and Liu, H (2012). Simulation and improvement of common land model on the bare soil of Loess Plateau underlying surface. Environmental Earth Sciences, 66, pp. 1091-1097. crossref(new window)

18.
Liang, X, Lettenmaier, DP, Wood, EF, and Burges, SJ (1994). A simple hydrologically based model of land surface water and energy fluxes for general circulation models. J. of Geophysical Research: Atmospheres, 99, D7, pp. 14415-14428.

19.
Liang, X (1994). A two-layer variable infiltration capacity land surface representation for general circulation models. Water Resour. Ser., TR140, University of Washington, Seattle, pp. 208.

20.
Mizutani, K, Yamanoi, K, Ikeda, T, and Watanabe, T (1997), Applicability of the eddy correlation method to measure sensible heat transfer to forest under rainfall conditions. Agricultural and Forest Meteorology, 86, pp. 193-203. crossref(new window)

21.
Johnes, HG (1992). Plants and Microclimate. Cambridge University Press, Cambridge, UK, pp. 4288.

22.
Seuffert, G, Gross, P, and Simmer, C (2002). The influence of hydrologic modeling on the predicted local weather:two-way coupling of a mesoscale weather prediction model and a land surface hydrologic model. J. of Hydrometeorology, 3, pp. 505-523. crossref(new window)

23.
Wang, A, Li, KY, and Lettenmaier, DP (2008). Integration of the variable infiltration capacity model soil hydrology scheme into the community land model. J. of geophysical research: Atmosphere, 113, D9.

24.
Whitfield, B, Jacobs, JM, and Judge, J (2006) Intercomparison study of the land surface process model and the common land model for a prairie wetland in Florida. J. of Hydrometeorology, Vol. 7, No. 6, pp. 1247-1258. crossref(new window)

25.
Wood, EF, Lettenmaier, DP, and Zartarian, VG (1992). A landsurface hydrology parameterization with subgrid variability for general circulation models. J. of Geophysical Research: Atmospheres, 97, D3, pp. 2717-2728.

26.
Ye, B, Yang, D, and Ma, L (2012). Effect of precipitation bias correction on water budget calculation in Upper Yellow River, China. Environmental Research Letters, 7, pp. 025201. crossref(new window)