Surface energy partitioning over four dominant vegetation types across the United States in a coupled regional climate model (Weather Research and Forecasting Model 3-Community Land Model 3.5)

Journal of Geophysical Research Atmospheres

Volumn 117, Issue 6, 2012, Pages

  Lu, Yaqiong ^a   Kueppers, Lara M ^b  

^a Merced   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EVAPORATION; FORESTRY; HEAT FLUX; INTERFACIAL ENERGY; IRRIGATION; PHASE TRANSITIONS; RAIN; SOIL MOISTURE; SUN; SURFACE CHEMISTRY; SURFACE MEASUREMENT; VEGETATION; WEATHER FORECASTING;

AMERIFLUX; CLOUDS AND THE EARTH'S RADIANT ENERGY SYSTEMS; CRITICAL QUESTIONS; DECIDUOUS FOREST; DOWNWARD SOLAR RADIATION; ENERGY FLUXES; ENERGY PARTITIONING; EVERGREEN FORESTS; IRRIGATED CROPLAND; IRRIGATION SCHEMES; LAND COVER; LAND MODEL; LAND SURFACE; LAND-SURFACE PROCESS; LAND-USE CHANGE; LEAF AREA INDEX; MODEL OUTPUTS; NATURAL GRASSLAND; NET RADIATION; POSITIVE BIAS; REGIONAL CLIMATE MODELS; SEASONAL PATTERNS; SENSITIVITY TESTS; SOIL EVAPORATIONS; SURFACE CLIMATE; SURFACE MODELS; SURFACE TEMPERATURES; TEMPERATURE BIAS; VEGETATION TYPE; WEATHER RESEARCH AND FORECASTING MODELS; WRF MODEL;

CLIMATE MODELS;

AGRICULTURAL LAND; CLIMATE MODELING; DECIDUOUS FOREST; ENERGY FLUX; EVERGREEN FOREST; GRASSLAND; LAND COVER; LAND SURFACE; LAND USE CHANGE; LATENT HEAT FLUX; LEAF AREA INDEX; PRECIPITATION (CLIMATOLOGY); REGIONAL CLIMATE; SOIL MOISTURE; SOLAR RADIATION; SURFACE ENERGY; VEGETATION TYPE;

UNITED STATES;

EID: 84859478187     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2011JD016991     Document Type: Article

References (63)

1. Augustine, J. A., J. J. DeLuisi, and C. N. Long (2000), SURFRAD-A national surface radiation budget network for atmospheric research, Bull. Am. Meteorol. Soc., 81(10), 2341-2357, doi:10.1175/1520-0477(2000) 081<2341:SANSRB>2.3.CO;2.
2. Baldocchi, D., et al. (2001), FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities, Bull. Am. Meteorol. Soc., 82(11), 2415-2434, doi:10.1175/1520-0477(2001)082<2415:FANTTS>2.3.CO;2. (Pubitemid 33642006)
3. Bonan, G. B., K. W. Oleson, M. Vertenstein, S. Levis, X. B. Zeng, Y. J. Dai, R. E. Dickinson, and Z. L. Yang (2002), The land surface climatology of the community land model coupled to the NCAR community climate model, J. Clim., 15(22), 3123-3149, doi:10.1175/1520-0442 (2002)015<3123:TLSCOT>2.0.CO;2. (Pubitemid 36006339)
4. Bonfils, C., and D. Lobell (2007), Empirical evidence for a recent slowdown in irrigation-induced cooling, Proc. Natl. Acad. Sci. U. S. A., 104(34), 13,582-13,587, doi:10.1073/pnas.0700144104. (Pubitemid 350003363)
5. Bounoua, L., R. DeFries, G. J. Collatz, P. Sellers, and H. Khan (2002), Effects of land cover conversion on surface climate, Clim. Change, 52(1-2), 29-64, doi:10.1023/A:1013051420309. (Pubitemid 34147255)
6. Chen, F., and J.Dudhia (2001), Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity, Mon. Weather Rev., 129(4), 569-585, doi:10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2. (Pubitemid 32511917)
7. Chou, M.-D., and M. J. Suarez (1994), An efficient thermal infrared radiation parameterization for use in general circulation models, NASA Tech. Memo. TM-104606, 85 pp., NASA, Greenbelt, Md.
8. Cox, P. M., R. A. Betts, C. D. Jones, S. A. Spall, and I. J. Totterdell (2000), Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model, Nature, 408(6809), 184-187, doi:10.1038/35041539.
9. Davin, E. L., and N. de Noblet-Ducoudre (2010), Climatic impact of globalscale deforestation: Radiative versus nonradiative processes, J. Clim., 23(1), 97-112, doi:10.1175/2009JCLI3102.1.
10. Diffenbaugh, N. S. (2009), Influence of modern land cover on the climate of the United States, Clim. Dyn., 33(7-8), 945-958, doi:10.1007/s00382-009-0566- z.
11. Di Luzio, M., G. L. Johnson, C. Daly, J. K. Eischeid, and J. G. Arnold (2008), Constructing retrospective gridded daily precipitation and temperature datasets for the conterminous United States, J. Appl. Meteorol. Climatol., 47(2), 475-497, doi:10.1175/2007JAMC1356.1.
12. Dirmeyer, P. A., F. J. Zeng, A. Ducharne, J. C. Morrill, and R. D. Koster (2000), The sensitivity of surface fluxes to soil water content in three land surface schemes, J. Hydrometeorol., 1(2), 121-134, doi:10.1175/1525-7541(2000) 001<0121:TSOSFT>2.0.CO;2.
13. Feddema, J. J., K. W. Oleson, G. B. Bonan, L. O. Mearns, L. E. Buja, G. A. Meehl, and W. M. Washington (2005), The importance of land-cover change in simulating future climates, Science, 310(5754), 1674-1678, doi:10.1126/science. 1118160. (Pubitemid 41780788)
14. Guo, Z. C., et al. (2006), GLACE: The Global Land-Atmosphere Coupling Experiment. Part II: Analysis, J. Hydrometeorol., 7(4), 611-625, doi:10.1175/JHM511.1. (Pubitemid 44430733)
15. Hong, S. Y., Y. Noh, and J. Dudhia (2006), A new vertical diffusion package with an explicit treatment of entrainment processes, Mon. Weather Rev., 134(9), 2318-2341, doi:10.1175/MWR3199.1. (Pubitemid 44445432)
16. Kain, J. S. (2004), The Kain-Fritsch convective parameterization: An update, J. Appl. Meteorol., 43(1), 170-181, doi:10.1175/1520-0450 (2004)043<0170:TKCPAU>2.0.CO;2.
17. Kalnay, E., and M. Cai (2003), Impact of urbanization and land-use change on climate, Nature, 423(6939), 528-531, doi:10.1038/nature01675. (Pubitemid 36648574)
18. Koster, R. D., et al. (2004), Regions of strong coupling between soil moisture and precipitation, Science, 305(5687), 1138-1140, doi:10.1126/ science.1100217. (Pubitemid 39100323)
19. Kueppers, L. M., M. A. Snyder, and L. C. Sloan (2007), Irrigation cooling effect: Regional climate forcing by land-use change, Geophys. Res. Lett., 34, L03703, doi:10.1029/2006GL028679. (Pubitemid 47277605)
20. Lawrence, D. M., P. E. Thornton, K. W. Oleson, and G. B. Bonan (2007), The partitioning of evapotranspiration into transpiration, soil evaporation, and canopy evaporation in a GCM: Impacts on land-atmosphere interaction, J. Hydrometeorol., 8(4), 862-880, doi:10.1175/JHM596.1. (Pubitemid 47491206)
21. Lawrence, D. M., et al. (2011), Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model, J. Adv. Model. Earth Syst., 3, M03001, 27 pp., doi:10.1029/2011MS000045.
22. Lawrence, P. J., and T. N. Chase (2007), Representing a new MODIS consistent land surface in the Community Land Model (CLM 3.0), J. Geophys. Res., 112, G01023, doi:10.1029/2006JG000168. (Pubitemid 46851094)
23. Lin, Y.-L., R. D. Farley, and H. D. Orville (1983), Bulk parameterization of the snow field in a cloud model, J. Clim. Appl. Meteorol., 22(6), 1065-1092, doi:10.1175/1520-0450(1983)022<1065:BPOTSF>2.0.CO;2.
24. Lobell, D., G. Bala, A. Mirin, T. Phillips, R. Maxwell, and D. Rotman (2009), Regional differences in the influence of irrigation on climate, J. Clim., 22(8), 2248-2255, doi:10.1175/2008JCLI2703.1.
25. Lu, L., R. A. Pielke, G. E. Liston, W. J. Parton, D. Ojima, and M. Hartman (2001), Implementation of a two-way interactive atmospheric and ecological model and its application to the central United States, J. Clim., 14(5), 900-919, doi:10.1175/1520-0442(2001)014<0900:IOATWI>2.0.CO;2. (Pubitemid 33053222)
26. Lynch, A. H., F. S. Chapin, L. D. Hinzman, W. Wu, E. Lilly, G. Vourlitis, and E. Kim (1999), Surface energy balance on the arctic tundra: Measurements and models, J. Clim., 12(8), 2585-2606, doi:10.1175/1520-0442 (1999)012<2585:SEBOTA>2.0.CO;2. (Pubitemid 30024909)
27. Malhi, Y., J. T. Roberts, R. A. Betts, T. J. Killeen, W. H. Li, and C. A. Nobre (2008), Climate change, deforestation, and the fate of the Amazon, Science, 319(5860), 169-172, doi:10.1126/science.1146961.
28. Markovic, M., C. G. Jones, P. A. Vaillancourt, D. Paquin, K. Winger, and D. Paquin-Ricard (2008), An evaluation of the surface radiation budget over North America for a suite of regional climate models against surface station observations, Clim. Dyn., 31(7-8), 779-794, doi:10.1007/s00382-008-0378-6.
29. Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A. Clough (1997), Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave, J. Geophys. Res., 102(D14), 16,663-16,682, doi:10.1029/97JD00237.
30. Nakanishi, M., and H. Niino (2009), Development of an improved turbulence closure model for the atmospheric boundary layer, J. Meteorol. Soc. Jpn., 87(5), 895-912, doi:10.2151/jmsj.87.895.
31. Niu, G.-Y., and Z.-L. Yang (2006), Effects of frozen soil on snowmelt runoff and soil water storage at a continental scale, J. Hydrometeorol., 7(5), 937-952, doi:10.1175/JHM538.1. (Pubitemid 44734306)
32. Niu, G.-Y., Z.-L. Yang, R. E. Dickinson, and L. E. Gulden (2005), A simple TOPMODEL-based runoff parameterization (SIMTOP) for use in global climate models, J. Geophys. Res., 110, D21106, doi:10.1029/ 2005JD006111.
33. Niu, G.-Y., Z.-L. Yang, R. E. Dickinson, L. E. Gulden, and H. Su (2007), Development of a simple groundwater model for use in climate models and evaluation with Gravity Recovery and Climate Experiment data, J. Geophys. Res., 112, D07103, doi:10.1029/2006JD007522. (Pubitemid 46916205)
34. Oleson, K. W., et al. (2008), Improvements to the Community Land Model and their impact on the hydrological cycle, J. Geophys. Res., 113, G01021, doi:10.1029/2007JG000563.
35. Pielke, R. A., G. Marland, R. A. Betts, T. N. Chase, J. L. Eastman, J. O. Niles, D. D. S. Niyogi, and S. W. Running (2002), The influence of land-use change and landscape dynamics on the climate system: Relevance to climate-change policy beyond the radiative effect of greenhouse gases, Philos. Trans. R. Soc. A, 360(1797), 1705-1719, doi:10.1098/ rsta.2002.1027.
36. Pielke, R. A., J. Adegoke, A. Beltran-Przekurat, C. A. Hiemstra, J. Lin, U. S. Nair, D. Niyogi, and T. E. Nobis (2007), An overview of regional land-use and land-cover impacts on rainfall, Tellus, Ser. B, 59(3), 587-601, doi:10.1111/j.1600-0889.2007.00251.x. (Pubitemid 47201662)
37. Pitman, A., R. Pielke, R. Avissar, M. Claussen, J. Gash, and H. Dolman (1999), The role of the land surface in weather and climate: Does the land surface matter?, IGBP Newsl., 39, 4-11.
38. Raschke, E., A. Ohmura, W. B. Rossow, B. E. Carlson, Y. C. Zhang, C. Stubenrauch, M. Kottek, and M. Wild (2005), Cloud effects on the radiation budget based on ISCCP data (1991 to 1995), Int. J. Climatol., 25(8), 1103-1125, doi:10.1002/joc.1157. (Pubitemid 40974593)
39. Sacks, W. J., B. I. Cook, N. Buenning, S. Levis, and J. H. Helkowski (2009), Effects of global irrigation on the near-surface climate, Clim. Dyn., 33(2-3), 159-175, doi:10.1007/s00382-008-0445-z.
40. Sakaguchi, K., and X. Zeng (2009), Effects of soil wetness, plant litter, and under-canopy atmospheric stability on ground evaporation in the Community Land Model (CLM3.5), J. Geophys. Res., 114, D01107, doi:10.1029/2008JD010834.
41. Schmid, H. P., H.-B. Su, C. S. Vogel, and P. S. Curtis (2003), Ecosystematmosphere exchange of carbon dioxide over a mixed hardwood forest in northern lower Michigan, J. Geophys. Res., 108(D14), 4417, doi:10.1029/ 2002JD003011.
42. Sellers, P. J., M. D. Heiser, and F. G. Hall (1992), Relations between surface conductance and spectral vegetation indexes at intermediate (100 m2 to 15 km2) length scales, J. Geophys. Res., 97(D17), 19,033-19,059, doi:10.1029/92JD01096.
43. Seneviratne, S. I., D. Luthi, M. Litschi, and C. Schar (2006), Landatmosphere coupling and climate change in Europe, Nature, 443(7108), 205-209, doi:10.1038/nature05095. (Pubitemid 44387607)
44. Shukla, J., C. Nobre, and P. Sellers (1990), Amazon deforestation and climate change, Science, 247(4948), 1322-1325, doi:10.1126/science. 247.4948.1322.
45. Siebert, S., P. Doll, J. Hoogeveen, J. M. Faures, K. Frenken, and S. Feick (2005), Development and validation of the global map of irrigation areas, Hydrol. Earth Syst. Sci., 9(5), 535-547, doi:10.5194/hess-9-535-2005.
46. Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, M. G. Duda, X. Huang, W. Wang, and J. G. Powers (2008), A description of the Advanced Research WRF Version 3, Tech. Rep. NCAR/TN-475 +STR, Natl. Cent. for Atmos. Res., Boulder, Colo.
47. Stöckli, R., D. M. Lawrence, G.-Y. Niu, K. W. Oleson, P. E. Thornton, Z.-L. Yang, G. B. Bonan, A. S. Denning, and S. W. Running (2008), Use of FLUXNET in the Community Land Model development, J. Geophys. Res., 113, G01025, doi:10.1029/2007JG000562.
48. Su, W., A. Bodas-Salcedo, K.-M. Xu, and T. P. Charlock (2010), Comparison of the tropical radiative flux and cloud radiative effect profiles in a climate model with Clouds and the Earth's Radiant Energy System (CERES) data, J. Geophys. Res., 115, D01105, doi:10.1029/ 2009JD012490.
49. Subin, Z. M., W. J. Riley, J. Jin, D. S. Christianson, M. S. Torn, and L. M. Kueppers (2011), Ecosystem feedbacks to climate change in California: development, testing, and analysis using a coupled regional atmosphere and land surface model (WRF3-CLM3.5), Earth Interact., 15, 1-38.
50. Tawfik, A. B., and A. L. Steiner (2011), The role of soil ice in landatmosphere coupling over the United States: A soil moisture-precipitation winter feedback mechanism, J. Geophys. Res., 116, D02113, doi:10.1029/ 2010JD014333.
51. Thompson, G., P. R. Field, R. M. Rasmussen, and W. D. Hall (2008), Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: Implementation of a new snow parameterization, Mon. Weather Rev., 136(12), 5095-5115, doi:10.1175/2008MWR2387.1.
52. Thornton, P. E., and N. E. Zimmermann (2007), An improved canopy integration scheme for a land surface model with prognostic canopy structure, J. Clim., 20(15), 3902-3923, doi:10.1175/JCLI4222.1. (Pubitemid 47299413)
53. Walker, M. D., and N. S. Diffenbaugh (2009), Evaluation of high-resolution simulations of daily scale temperature and precipitation over the United States, Clim. Dyn., 33(7-8), 1131-1147, doi:10.1007/s00382-009-0603- y.
54. Wielicki, B. A., B. R. Barkstrom, E. F. Harrison, R. B. Lee, G. L. Smith, and J. E. Cooper (1996), Clouds and the Earth's Radiant Energy System (CERES): An Earth observing system experiment, Bull. Am. Meteorol. Soc., 77(5), 853-868, doi:10.1175/1520-0477(1996)077<0853:CATERE>2.0. CO;2.
55. Wild, M. (2008), Short-wave and long-wave surface radiation budgets in GCMs: A review based on the IPCC-AR4/CMIP3 models, Tellus, Ser. A, 60(5), 932-945, doi:10.1111/j.1600-0870.2008.00342.x.
56. Wild, M., and E. Roeckner (2006), Radiative fluxes in the ECHAM5 general circulation model, J. Clim., 19(16), 3792-3809, doi:10.1175/ JCLI3823.1. (Pubitemid 44405144)
57. Wild, M., A. Ohmura, H. Gilgen, J. J. Morcrette, and A. Slingo (2001), Evaluation of downward longwave radiation in general circulation models, J. Clim., 14(15), 3227-3239, doi:10.1175/1520-0442(2001)014<3227: EODLRI>2.0.CO;2. (Pubitemid 33050488)
58. Williams, M., et al. (2009), Improving land surface models with FLUXNET data, Biogeosciences, 6(7), 1341-1359, doi:10.5194/bg-6-1341-2009.
59. Wilson, K., et al. (2002a), Energy balance closure at FLUXNET sites, Agric. For. Meteorol., 113(1-4), 223-243, doi:10.1016/S0168-1923(02) 00109-0. (Pubitemid 35293761)
60. Wilson, K. B., et al. (2002b), Energy partitioning between latent and sensible heat flux during the warm season at FLUXNET sites, Water Resour. Res., 38(12), 1294, doi:10.1029/2001WR000989.
61. Wilson, T. B., and T. P. Meyers (2007), Determining vegetation indices from solar and photosynthetically active radiation fluxes, Agric. For. Meteorol., 144(3-4), 160-179, doi:10.1016/j.agrformet.2007.04.001. (Pubitemid 46754501)
62. Yang, W., et al. (2006), MODIS leaf area index products: From validation to algorithm improvement, IEEE Trans. Geosci. Remote Sens., 44(7), 1885-1898, doi:10.1109/TGRS.2006.871215. (Pubitemid 44109509)
63. Young, D. F., P. Minnis, D. R. Doelling, G. G. Gibson, and T. Wong (1998), Temporal interpolation methods for the Clouds and the Earth's Radiant Energy System (CERES) experiment, J. Appl. Meteorol., 37(6), 572-590, doi:10.1175/1520-0450(1998)037<0572:TIMFTC>2.0.CO;2.