Estimating spatial variability in atmospheric properties over remotely sensed land surface conditions

Journal of Applied Meteorology and Climatology

Volumn 47, Issue 8, 2008, Pages 2147-2165

  Bertoldi, Giacomo ^a   Kustas, William P ^b   Albertson, John D ^a  

^a Duke University   (United States)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC HUMIDITY; ATMOSPHERIC TEMPERATURE; ATMOSPHERICS; ERRORS; FLUXES; HEAT FLUX; LARGE EDDY SIMULATION; SURFACE CHEMISTRY; SURFACE MEASUREMENT; SURFACE ROUGHNESS; SURFACE TENSION; THEOREM PROVING; TWO DIMENSIONAL; WEATHER INFORMATION SERVICES; WIND POWER;

AGRICULTURAL LANDSCAPES; AGRICULTURAL REGIONS; AIR TEMPERATURES; ATMOSPHERIC INPUTS; ATMOSPHERIC PROPERTIES; BARE SOIL AREAS; CANOPY COVERS; DO-MAINS; FLUX ESTIMATIONS; HEAT FLUX ESTIMATIONS; HETEROGENEOUS LANDSCAPES; LAND COVERS; LAND SURFACE CONDITIONS; LAND SURFACES; LARGE-EDDY SIMULATIONS; LATENT HEAT FLUXES; LINEAR EXPRESSIONS; LOCAL CORRELATIONS; POTENTIAL ERRORS; PRACTICAL METHODS; SENSIBLE HEAT FLUXES; SPATIAL CORRELATIONS; SPATIAL DISTRIBUTIONS; SPATIAL PATTERNS; SPATIAL RELATIONSHIPS; SPATIAL SCALING; SPATIAL VARIABILITIES; SPECIFIC HUMIDITIES; SURFACE ENERGY BALANCES; SURFACE FLUXES; SURFACE STATES; SURFACE TEMPERATURES; WAVELET TECHNIQUES; WEATHER STATIONS; WIND SPEEDS;

SURFACE PROPERTIES;

AGRICULTURAL LAND; BARE SOIL; BOUNDARY CONDITION; CANOPY; CORRELATION; ENERGY BALANCE; ESTIMATION METHOD; LAND SURFACE; LARGE EDDY SIMULATION; RELATIVE HUMIDITY; REMOTE SENSING; SENSIBLE HEAT FLUX; SPATIAL VARIATION; SURFACE FLUX; SURFACE ROUGHNESS; SURFACE TEMPERATURE; WAVELET ANALYSIS; WIND VELOCITY;

EID: 57349123006     PISSN: 15588424     EISSN: None     Source Type: Journal    
DOI: 10.1175/2007JAMC1828.1     Document Type: Article

References (33)

1. Addison, P., 2002: The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance. Institute of Physics Publishing, 300 pp.
2. Albertson, J. D., 1996: Large eddy simulation of land-atmosphere interaction. Ph.D. thesis, University of California, Davis, 185 pp.
3. Albertson, J. D., and M. B. Parlange, 1999a: Natural integration of scalar fluxes from complex terrain. Adv. Water Res., 23, 239-252.
4. Albertson, J. D., and M. B. Parlange, 1999b: Surface length scales and shear stress: Implications for land-atmosphere interaction over complex terrain. Water Resour. Res., 35, 2121-2132.
5. Albertson, J. D., W. P. Kustas, and T. M. Scanlon, 2001: Large-eddy simulation over heterogeneous terrain with remotely sensed land surface conditions. Water Resour. Res., 37, 1939-1953.
6. Anderson, M. C., W. P. Kustas, and J. M. Norman, 2007: Upscaling flux observations from local to continental scales using thermal remote sensing. Agron. J., 99, 240-254.
7. Avissar, R., and T. Schmidt, 1998: An evaluation of the scale at which ground-surface heat flux patchiness affects the convective boundary layer using large-eddy simulation. J. Atmos. Sci., 55, 2666-2689.
8. Bertoldi, G., J. D. Albertson, W. P. Kustas, F. Li, and M. C. Anderson, 2007: On the opposing roles of air temperature and wind speed variability in flux estimation from remotely sensed land surface states. Water Resour. Res., 43, W10433, doi:10.1029/2007WR005911.
9. Bou-Zeid, E., C. Meneveau, and M. B. Parlange, 2005: A scale-dependent Lagrangian dynamic model for large eddy simulation of complex turbulent flows. Phys. Fluids, 17, 025105, doi:10.106311.1839152.
10. Choudhury, B. J., N. U. Ahmed, S. B. Idso, R. J. Reginato, and C. S. T. Daughtry, 1994: Relations between evaporation coefficients and vegetation indices studied by model simulations. Remote Sens. Environ., 50, 1-17.
11. Doraiswamy, P. C., J. L. Hatfield, T. J. Jackson, B. Akhmedoc, J. Prueger, and A. Stern, 2004: Crop condition and yield simulations using Landsat and MODIS. Remote Sens. Environ., 92, 548-559.
12. French, A. N., T. J. Schmugge, W. P. Kustas, K. L. Brubaker, and J. Prueger, 2003: Surface energy fluxes over El Reno, Oklahoma, using high-resolution remotely sensed data. Water Resour. Res., 39, 1164, doi:10.1029/2002WR001734.
13. Haar, A., 1910: Zur theorie der orthogonalen funktionensysteme. Math. Ann., 69, 331-371.
14. Jackson, T. J., D. M. Le Vine, A. Y. Hsu, A. Oldak, P. J. Starks, C. T. Swift, J. D. Isham, and M. Haken, 1999: Soil moisture mapping at regional scales using microwave radiometry: The Southern Great Plains Hydrology Experiment. IEEE Trans. Geosci. Remote Sens., 37, 2136-2151.
15. Kim, H. J., and Y. Noh, 2004: Interaction between wind and temperature fields in the planetary boundary layer for a spatially heterogeneous surface heat flux. Bound.-Layer Meteor., 111, 225-246.
16. Kustas, W. P., and J. M. Norman, 1999: Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover. Agric. For. Meteor., 94, 13-29.
17. Kustas, W. P., and J. D. Albertson, 2003: Effects of surface temperature contrast on land-atmosphere exchange: A case study from Monsoon 90. Water Resour. Res., 39, 1159, doi:10.1029/2001WR001226.
18. Kustas, W. P., J. H. Prueger, and L. Hipps, 2002: Impact of using different time-averaged inputs for estimating sensible heat flux of riparian vegetation using radiometric surface temperature. J. Appl. Meteor., 41, 319-332.
19. Kustas, W. P., J. M. Norman, T. J. Schmugge, and M. C. Anderson, 2004: Mapping surface energy fluxes with radiometric temperature. Thermal Remote Sensing in Land Surface Processes, D. Quattrochi and J. Luvall, Eds., CRC Press, 205-253.
20. LeMone, M. A., F. Chen, J. G. Alfieri, M. Tewari, B. Geerts, Q. Miao, R. L. Grossman, and R. Coulter, 2007: Influence of land cover and soil moisture on the horizontal distribution of sensible and latent heat fluxes in southeast Kansas during IHOP-2002 and CASES-97. J. Hydrometeor., 8, 68-87.
21. Letzel, M. O., and S. Raasch, 2003: Large eddy simulation of thermally induced oscillations in the convective boundary layer. J. Atmos. Sci., 60, 2328-2341.
22. Li, F., T. J. Jackson, W. P. Kustas, T. J. Schmugge, A. N. French, M. Cosh, and R. Bindlish, 2004: Deriving land surface temperature from Landsat 5 and 7 during SMEX02/SMACEX. Remote Sens. Environ., 92, 521-534.
23. Mahrt, L., 1991: Boundary-layer moisture regimes. Quart. J. Roy. Meteor. Soc., 117, 151-176.
24. Norman, J. M., W. P. Kustas, and K. S. Humes, 1995: A two-source approach for estimating soil and vegetation energy fluxes from observations of directional radiometric surface temperature. Agric. For. Meteor., 77, 263-293.
25. Palluconi, F. D., and G. R. Meeks, 1985: Thermal Infrared Multispectral Scanner (TIMS): An investigator's guide to TIMS data. NASA STI/Recon Tech. Rep. N 85, 286 pp.
26. Patton, E. G., P. P. Sullivan, and C.-H. Moeng, 2005: The influence of idealized heterogeneity on wet and dry planetary boundary layers coupled to the land surface. J. Atmos. Sci., 62, 2078-2097.
27. Portè-Agel, F., 2004: A scale-dependent dynamic model for scalar transport in large-eddy simulations of the atmospheric boundary layer. Bound.-Layer Meteor., 112, 81-105.
28. Priestley, C. H. B., and R. J. Taylor, 1972: On the assessment of surface heat flux and evaporation using large-scale parameters. Mon. Wea. Rev., 100, 81-92.
29. Raasch, S., and G. Harbusch, 2001: An analysis of secondary circulations and their effects caused by small-scale surface inhomogeneities using large-eddy simulation. Bound.-Layer Meteor., 101, 31-59.
30. Shen, S., and M. Y. Leclerc, 1995: How large must surface inhomogeneities be before they influence the convective boundary layer structure? A case study. Quart. J. Roy. Meteor. Soc., 121, 1209-1228.
31. Smagorinsky, J., 1963: General circulation experiments with the primitive equations. Mon. Wea. Rev., 91, 99-164.
32. Sullivan, P. P., T. W. Horst, D. H. Lenshow, C. H. Moeng, and J. C. Weil, 2003: Structure of subfilter-scale fluxes in the atmospheric surface layer with application to large-eddy simulation modelling. J. Fluid Mech., 482, 101-139.
33. Timmermans, W. J., G. Bertoldi, J. D. Albertson, A. Olioso, Z. Su, and A. S. M. Gieske, 2008: Accounting for atmospheric boundary layer variability on flux estimation from RS observations. Int. J. Remote Sens., in press.