Auto-calibration system developed to assimilate AMSR-E data into a land surface model for estimating soil moisture and the surface energy budget

Journal of the Meteorological Society of Japan

Volumn 85 A, Issue SPEC. ISS., 2007, Pages 229-242

  Yang, Kun ^a   Watanabe, Takahiro ^a   Koike, Toshio ^a   Li, Xin ^b   Fujii, Hideyuki ^a   Tamagawa, Katsunori ^a   Ma, Yaoming ^c   Ishikawa, Hirohiko ^d  

^a UNIVERSITY OF TOKYO   (Japan)

^b Chinese Academy of Sciences   (China)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^d KYOTO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BRIGHTNESS TEMPERATURE; CALIBRATION; DATA ASSIMILATION; ENERGY BUDGET; LAND SURFACE; LEAF AREA INDEX; OPTIMIZATION; RADIATIVE TRANSFER; SOIL MOISTURE; SURFACE ENERGY; SURFACE FLUX; SURFACE ROUGHNESS; VEGETATION;

EID: 34248631650     PISSN: 00261165     EISSN: None     Source Type: Journal    
DOI: 10.2151/jmsj.85A.229     Document Type: Article

References (62)

1. Berg, A.A., J.S. Famiglietti, J.P. Walker, and P.R. Houser, 2003: Impact of bias correction to reanalysis products on simulations of North American soil moisture and hydrological fluxes. J. Geophys. Res., 108(D16), 4490, doi:10.1029/2002JD003334.
2. Betts, A.K., 2004: Understanding hydrometeorology using global models. Bull. Amer. Meteor. Soc., DOI:10.1175/BAMS-85-11-1673.
3. Betts, A.K., J.H. Ball, A.C.M. Beljaars, M.J. Miller, and P.A. Viterbo, 1996: The land surface-atmosphere interaction: A review based on observational and global modeling perspectives. J. Geophys. Res., 101(D3), 7209-7226.
4. Burke, E.J. and L.P. Simmonds, 2001: A simple parameterisation for retrieving soil moisture from passive microwave data. Hydrol. Earth Syst. Sci., 5, 39-48.
5. Clapp, R.B. and G.M. Hornberger, 1978: Empirical equations for some hydraulic properties. Water Resour. Res., 14, 601-604.
6. Cosby, B.J., G.M. Hornberger, R.B. Clapp, and T.R. Ginn, 1984: A statistical exploration of the relationships of soil moisture characteristics to the physical properties of soils. Water Resour. Res., 20, 682-690.
7. Crosson, W.L., C.A. Laymon, R. Inguva, and M.P. Schamschula, 2002: Assimilating remote sensing data in a surface flux-soil moisture model. Hydrol. Process., 16, 1645-1662.
8. Crow, W.T., R. Bindlish, and T.J. Jackson, 2005: The added value of spaceborne, passive microwave soil moisture retrievals for forecasting, rainfall-runoff partitioning. Geophys. Res. Lett., 32, L18401, doi:10.1029/2005GL023543.
9. Dirmeyer, P.A., A.J. Dolman, and N. Sato, 1999: The Pilot Phase of the Global Soil Wetness Project. Bull. Amer. Meteor. Soc., 80, 851-878.
10. Dobson, M.C., F.T. Ulaby, M.T. Hallikainen, and M.A. El-Rayes, 1985: Microwave dielectric behavior of wet soil - part II: dielectric mixing models. IEEE Trans. Geosci. Remote Sens., GE-23, 35-46.
11. Duan, Q., V.K. Gupta, and S. Sorooshian, 1993: A shuffled complex evolution approach for effective and efficient global minimization. J. Optimiz. Theory App., 76, 501-521.
12. Dunne, S. and D. Entekhabi, 2005: An ensemble-based reanalysis approach to land data assimilation. Water Resour. Res., 41, W02013, doi:10.1029/2004WR003449.
13. Entekhabi, D., I. Rodriguez-Iturbe, and F. Castelli, 1996: Mutual interaction of soil moisture state and atmospheric processes. J. of Hydro., 184, 3-17.
14. Fujii, H., 2005: Development of a Microwave radiative transfer model for vegetated land surface based on comprehensive in-situ observations. PhD thesis, The University of Tokyo.
15. Gillies, R.R. and T.N. Carlson, 1995: Thermal remote sensing of surface soil water content with partial vegetation cover for incorporation into climate models. J. Appl. Meteor., 34, 745-756.
16. Global Soil Data Task, 2000: Global Gridded Surfaces of Selected Soil Characteristics (IGBPDIS), International Geosphere-Biosphere Programme - Data and Information Services. Available online [http:// www.daac.ornl.gov/] from the ORNL Distributed Active Archive Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee, U.S.A.
17. Houser, P.R., W.J. Shuttleworth, J.S. Famiglietti, H.V. Gupta, K.H. Syed, and D.C. Goodrich, 1998: Integration of soil moisture remote sensing and hydrologic modeling using data assimilation. Water Resour. Res., 34, 3405-3420.
18. Huffman, G.J., R.F. Adler, M. Morrissey, D.T. Bolvin, S. Curtis, R. Joyce, B. McGavock, and J. Susskind, 2001: Global precipitation at one-degree daily resolution from multi-satellite observations. J. Hydrometeor., 2, 36-50.
19. Jackson, T.J., 1993: Measuring surface soil moisture using passive microwave remote sensing. Hydro. Process., 7, 139-152.
20. Jackson, T.J. and T.J. Schmugge, 1991: Vegetation effects on the microwave emission of soils. Remote Sens. Environ., 36, 203-212.
21. Johansen, O., 1975: Thermal conductivity of soils. Ph.D. thesis, Trondheim, Norway (CRREL Draft translation 637, 1977).
22. Knyazikhin, Y., J. Glassy, J.L. Privette, Y. Tian, A. Lotsch, Y. Zhang, Y. Wang, J.T. Morisette, P. Votava, R.B. Myneni, R.R. Nemani, and S.W. Running, 1999: MODIS leaf area index (LAI) and fraction of photosynthetically active radiation absorbed by vegetation (FPAR) product (MOD15) algorithm theoretical basis document, pp. 126. Available online [http://eospso.gsfc.nasa.gov/atbd/modistables.html].
23. Koike, T., 2004: The Coordinated Enhanced Observing Period - an initial step for integrated global water cycle observation. WMO Bulletin, 53(2), 1-8.
24. Koike, T., C. Shimo, T. Ohta, H. Fujii, and A. Shibata, 2000: Development and validation of a microwave radiometer algorithm for land surface hydrology. Ann. J. Hydraulic Eng. JSCE, 44, 247-252.
25. Koster, R.D., P.A. Dirmeyer, Z. Guo, and the GLACE team co-authors, 2004: Regions of strong coupling between soil moisture and precipitation. Science, 305, 1138-1140.
26. Loveland, T.R., B.C. Reed, J.F. Brown, D.O. Ohlen, J. Zhu, L. Yang, and J.W. Merchant, 2001: Development of a global land cover characteristics database and IGBP DISCover from 1-km AVHRR data. Int. J. Remote Sensing, 21, 1303-1330.
27. Lu, H., T. Koike, N. Hirose, M. Morita, H. Fujii, D.N. Kuria, T. Graf, and H. Tsutsui, 2006: A basic study on soil moisture algorithm using ground based observations under dry condition. Ann. J. Hydraul. Eng., JSCE, 50, 7-12.
28. Luo, L. and NLDAS team co-authors, 2003: Validation of the North American Land Data Assimilation System (NLDAS) retrospective forcing over the southern Great Plains. J. Geophys. Res., 108(D22), 8843, doi:10.1029/2002JD003246.
29. Ma, Y., H. Ishikawa, O. Tsukamoto, M. Menenti, Z. Su, T. Yao, T. Koike, and T. Yasunari, 2003: Regionalization of surface fluxes over heterogeneous landscape of the Tibetan Plateau by using satellite remote sensing data. J. Meteor. Soc. Japan., 81, 277-293.
30. Ma, Y., O. Tsukamoto, H. Ishikawa, Z. Su, M. Menenti, J. Wang, and J. Wen, 2002: Determination of regional land surface heat flux densities over heterogeneous landscape of HEIFE integrating satellite remote sensing with field observations. J. Meteor. Soc. Japan, 80, 485-501.
31. Margulis, S.A., D. McLaughlin, D. Entekhabi, and S. Dunne, 2002: Land data assimilation and estimation of soil moisture using measurements from the Southern Great Plains 1997 Field Experiment. Water Resour. Res., 38, 1299, doi:10.1029/2001WR001114.
32. Meng, C.J., R.T. Pinker, J.D. Tarpley, and I. Laszlo, 2003: A satellite approach for estimating regional land surface energy budget for GCIP/ GAPP. J. Geophys. Res., 108(D22), 8861, doi:10.1029/ 2002JD003088.
33. Mitchell, K.E. and NLDAS team co-authors, 2004: The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system. J. Geophys. Res., 109, D07S90, doi:10.1029/ 2003JD003823.
34. Njoku, E.G. and D. Entekhabi, 1996: Passive microwave remote sensing of soil moisture. J. Hydro., 184, 101-129.
35. Paloscia, S., G. Macelloni, E. Santi, and T. Koike, 2001: A Multifrequency algorithm for the retrieval of soil moisture on a large scale using microwave data from SMMR and SSM/I satellites. IEEE Trans. on Geosci. Remote Sensing, 39, 1655-1661.
36. Paloscia, S. and P. Pampaloni, 1988: Microwave polarization index for monitoring vegetation growth. IEEE Trans. on Geosci. Remote Sensing, GE-26, 617-621.
37. Parada, L.M. and X. Liang, 2004: Optimal multiscale Kalman filter for assimilation of near-surface soil moisture into land surface models. J. Geophys. Res., 109, D24109, doi:10.1029/2004JD004745.
38. Pathmathevan, M., T. Koike, and X. Li, 2003: A new satellite-based data assimilation algorithm to determine spatial and temporal variations of soil moisture and temperature profiles. J. Meteor. Soc. Japan, 81, 1111-1135.
39. Pauwels, V.R.N., R. Hoeben, N.E.C. Verhoest, and F.P. De Troch, 2001: The importance of the spatial patterns of remotely sensed soil moisture in the improvement of discharge predictions for small-scale basins through data. J. Hydro., 251, 88-102.
40. Pitman, A.J. and PILPS team co-authors, 1999: Key Results and Implications from Phase 1(c) of the Project for Intercomparison of Land-surface Parameterization Schemes. Clim. Dynamics, 15, 673-684.
41. Prigent, C., F. Aires, W.B. Rossow, and A. Robock, 2005: Sensitivity of satellite microwave and infrared observations to soil moisture at a global scale: Relationship of satellite observations to in situ soil moisture measurements. J. Geophys Res., 110, D07110, doi:10.1029/2004JD005087.
42. Owe, M., R. de Jeu, and J. Walker, 2001: A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference Index. IEEE Trans. on Geosci. Remote Sensing, 39, 1643-1654.
43. Reichle, R.H. and R.D. Koster, 2005: Global assimilation of satellite surface soil moisture retrievals into the NASA Catchment land surface model. Geophys. Res. Lett., 32, L02404, doi:10.1029/ 2004GL021700.
44. Reichle, R.H., D.B. McLaughlin, and D. Entekhabi, 2001: Variational data assimilation of microwave radiobrightness observations for land surface hydrology applications. IEEE Trans. on Geosci. Remote Sensing, 39, 1708-1718.
45. Robock, A. and NLDAS team co-authors, 2003: Evaluation of the North American Land Data Assimilation System over the southern Great Plains during the warm season. J. Geophys. Res., 108(D22), 8846, doi:10.1029/2002JD003245.
46. Rodell, M, P.R. Houser, U. Jambor, J. Gottschalck, K. Mitchell, C.J. Meng, K. Arsenault, B. Cosgrove, J. Radakovich, M. Bosilovich, J.K. Entin, J.P. Walker, D. Lohmann, and D. Toll, 2004: The global land data assimilation system. Bull. Amer. Meteor. Soc., 85, 381-394.
47. Sellers, P.J., D.A. Randall, G.J. Collatz, J.A. Berry, C.B. Field, D.A. Dazlich, C. Zhang, G.D. Collelo, and L. Bounoua, 1996a: A revised land surface parameterization (SiB2) for atmospheric GCMs. Part I: Model formulation. J. Climate, 9, 676-705.
48. Sellers, P.J., S.O. Los, C.J. Tucker, C.O. Justice, D.A. Dazlich, G.J. Collatz, and D.A. Randall, 1996b: A revised land surface parameterization (SiB2) for atmospheric GCMs. Part II: The generation of global fields of terrestrial biophysical parameters from satellite data. J. Climate, 9, 706-737.
49. Shi, J.-C., L. Jiang, L. Zhang, K.-S. Chen, J.-P. Wigneron, and A. Chanzy, 2005: A parameterized multifrequency-polarization surface emission model. IEEE Trans. on Geosci. Remote Sensing, 43, 2831-2841.
50. Ulaby, F.T., R.K. Moore, and A.K. Fung, 1986: Microwave Remote Sensing: Active and Passive. Volume III, from Theory to Applications, Artech House, Norwood, MA, pp 2162.
51. van den Hurk, B., 2001: Energy balance based surface flux estimation from satellite data, and its application for surface moisture assimilation. Meteorol. Atmos. Phys., 76, 43-52.
52. Vinnikov, K.Y., A. Robock, S.A. Qiu, J.K. Entin, M. Owe, B.J. Choudhury, S.E. Hollinger, and E.G. Njoku, 1999: Satellite remote sensing of soil moisture in Illinois, United States. J. Geophys. Res., 104(D4), 4145-4168.
53. Wang, J.R. and B.J. Choudhury, 1981: Remote sensing of soil moisture content over bare fields at 1.4 GHz frequency. J. Geophys. Res., 86, 5277-5282.
54. Watanabe, T. and J. Kondo, 1990: The influence of canopy structure and density upon the mixing length within and above vegetation. J. Meteor. Soc. Japan., 68, 227-235.
55. Wegmuller, U. and C. Matzler, 1999: Rough bare soil reflectivity model. IEEE Trans. on Geosci. Remote Sensing, 37, 1391-1395.
56. Wetzel, P.J., D. Atlas, and R.H. Woodward, 1984: Determining soil moisture from geosynchronous satellite infrared data: a feasibility study. J. Clim. Appl. Meteor., 23, 375-391.
57. Wigneron, J.-P., A. Chanzy, J.-C. Calvet, and N. Bruguier, 1995: A simple algorithm to retrieve soil moisture and vegetation biomass using passive microwave measurements over crop fields. Remote Sens. Environ., 51, 331-341.
58. Yang, K., T. Koike, H. Fujii, K. Tamagawa, and N. Hirose, 2002: Improvement of surface flux with a turbulence-related length. Q. J. R. Meteor. Soc., 128, 2073-2087.
59. Yang, K., T. Koike, B. Ye, and L. Bastidas, 2005: Inverse analysis of the role of soil vertical heterogeneity in controlling surface soil state and energy partition. J. Geophys. Res., 110, D08101, doi:10.1029/2004JD005500.
60. Yang, K. and co-authors, 2007: Initial CEOP-based review of the prediction skill of operational general circulation models and land surface models. J. Meteor. Soc. Japan, this issue.
61. Zhang, S.-W., H.-R. Li, W.-D. Zhang, C.J. Qiu, and X. Li, 2006: Estimating the soil moisture profile by assimilating near-surface observations with the ensemble Kalman filter (EnKF). Adv. Atmos. Sci., 22, 936-945.
62. Zhang, Y., W.B. Rossow, A.A. Lacis, V. Oinas, and M.I. Mishchenko, 2004: Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data. J. Geophys. Res., 109, D19105, doi:10.1029/2003JD004457.