Enhancing the estimation of continental-scale snow water equivalent by assimilating MODIS snow cover with the ensemble Kalman filter

Journal of Geophysical Research Atmospheres

Volumn 113, Issue 8, 2008, Pages

  Su, Hua ^a   Yang, Zong Liang ^a   Niu, Guo Yue ^a   Dickinson, Robert E ^b  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATOLOGY; IMAGING TECHNIQUES; KALMAN FILTERS; RADIOMETERS; SNOW; SPECTROMETERS; WEATHER FORECASTING;

DATA SET; ENSEMBLE FORECASTING; ESTIMATION METHOD; KALMAN FILTER; MEASUREMENT METHOD; MODIS; OBSERVATIONAL METHOD; SEASONAL VARIATION; SNOW COVER; SNOW WATER EQUIVALENT; WATER RESOURCE;

GREAT PLAINS; NORTH AMERICA;

EID: 45549085137     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2007JD009232     Document Type: Article

References (52)

1. Anderson, E. A. (1976), A point energy and mass balance model of a snow cover, NOAA Tech. Rep. NMFS, 19, 150 pp.
2. Andreadis, K. M., and D. P. Lettenmaier (2006), Assimilating remotely sensed snow observations into a macroscale hydrology model, Adv. Water Resour., 29, 872-886.
3. Barnett, T. P., L. Dumenil, U. Schlese, E. Roechner, and M. Latif (1989), The effect of Eurasian snow cover on regional and global climate variations, J. Atmos. Sci., 46, 661-685.
4. Bonan, 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, 3123-3149.
5. Brown, R. D., B. Brasnett, and D. Robinson (2003), Gridded North American monthly snow depth and snow water equivalent for GCM evaluation, Atmos. Ocean, 41(1), 1-14.
6. Brubaker, K. L., M. Jasinski, A. T. Chang, and E. Josberger (2001), Interpolating sparse surface measurements for calibration and validation of satellite-derived snow water equivalent in Russian Siberia, IAHS Publ., 267, 93-98.
7. Brubaker, K. L., R. T. Pinker, and E. Deviatova (2005), Evaluation and comparison of MODIS and IMS snow-cover estimates for the continental United States using station data, J. Hydrometeorol., 6, 1002-1017.
8. Burgers, G., P. J. van Leeuwen, and G. Evensen (1998), Analysis scheme in the ensemble Kalman filter, Mon. Weather Rev., 126, 1719-1724.
9. Clark, M. P., et al. (2006), Assimilation of snow covered area information into hydrologic and land-surface models, Adv. Water Resour., 29, 1209-1221.
10. Crow, W. T. (2003), Correcting land surface model predictions for the impact of temporally sparse rainfall rate measurements using an ensemble Kalman filter and surface brightness temperature observations, J. Hydrometeorol., 4, 960-973.
11. Crow, W. T., and E. V. Loon (2006), Impact of incorrect model error assumptions on the sequential assimilation of remotely sensed surface soil moisture, J. Hydrometeorol., 7, 421-433.
12. Dee, D. P. (1995), On-line estimation of error covariance parameters for atmospheric data assimilation, Mon. Weather Rev., 123, 1128-1145.
13. Dingman, S. L. (2002), Physical Hydrology, 2nd ed., Prentice-Hall, Upper Saddle River, N. J.
14. Dong, J., J. P. Walker, and P. R. Houser (2005), Factors affecting remotely sensed snow water equivalent uncertainty (2005), Remote Sens. Environ., 97, 68-82.
15. Dong, J., J. P. Walker, P. R. Houser, and C. Sun (2007), Scanning multichannel microwave radiometer snow water equivalent assimilation, J. Geophys. Res.,112, D07108, doi:10.1029/2006JD007209.
16. Durand, M., and S. A. Margulis (2006), Feasibility test of multifrequency radiometric data assimilation to estimate snow water equivalent, J. Hydrometeorol., 7, 443-457.
17. Durand, M., and S. A. Margulis (2007), Correcting first-order errors in snow water equivalent estimates using a multifrequency, multiscale radiometric data assimilation scheme, J. Geophys. Res., 112, D13121, doi:10.1029/2006JD008067.
18. Epstein, E. S. (1969), Stochastic dynamic prediction, Tellus, Ser. A, 21, 739-759.
19. Evensen, G. (1994), Sequential data assimilation with a nonlinear QG model using Monte Carlo methods to forecast error statistics, J. Geophys. Res., 99, 10,143-10,162.
20. Evensen, G. (2003), The ensemble Kalman filter: Theoretical formulation and practical implementation, Ocean Dyn., 53, 343-367.
21. Foster, J. L., C. J. Sun, J. P. Walker, R. Kelly, A. Chang, J. R. Dong, and H. Powell (2005), Quantifying the uncertainty in passive microwave snow water equivalent observations, Remote Sens. Environ., 94, 187-203.
22. Gong, G., D. Entekhabi, and J. Cohen (2003), Modeled Northern Hemisphere winter climate response to realistic Siberian SNOW ANOMALIES, J. Clim., 16, 3917-3931.
23. Grody, N, C., and A. N. Basist (1996), Global identification of snowcover using SSM/I measurements, IEEE Trans. Geosci. Remote Sens., 34(1), 237-249.
24. Hall, D. K., and G. A. Riggs (2007), Accuracy assessment of the MODIS snow products, Hydrol. Processes, 21, 1534-1547.
25. Hall, D. K., G. A. Riggs, and V. V. Salomonson (1995), Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data, Remote Sens. Environ., 54, 127-140.
26. Hall, D. K., et al. (2002), MODIS snow-cover products, Remote Sens. Environ., 83, 181-194.
27. Hamill, T. M. (2006), Ensemble-based atmospheric data assimilation, in Predictability of Weather and Climate, edited by T. Palmer and R. Hagedorn, pp. 124-156, Cambridge Univ. Press, New York.
28. Houser, P. R., et al. (1998), Integration of soil moisture remote sensing and hydrologic modeling using data assimilation, Water Resour. Res., 34, 3405-3420.
29. Klein, A. G., and A. C. Barnett (2003), Validation of daily MODIS snow maps of the Upper Rio Grande River Basin for the 2000-2001 snow year, Remote Sens. Environ., 86, 162-176.
30. Liston, G. E. (2004), Representing subgrid snow cover heterogeneities in regional and global models, J. Clim., 17, 1381-1397.
31. Luce, C. H., and D. G. Tarboton (1999), Sub-grid parameterization of snow distribution for an energy and mass balance snow cover model, Hydrol. Processes, 13, 1921-1933.
32. Luce, C. H., and D. G. Tarboton (2004), The application of depletion curves for parameterization of sub-grid variability of snow, Hydrol. Processes, 18, 1409-1422.
33. 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(12), 1299, doi:10.1029/2001WR001114.
34. Markus, T., D. C. Powell, and J. R. Wang (2006), Sensitivity of passive microwave snow depth retrievals to weather effects and snow evolution, IEEE Trans. Geosci. Remote Sens., 44(1), 68-77.
35. McLaughlin, D. B. (2002), An integrated approach to hydrologic data assimilation: Interpolation, smoothing, and filtering, Adv. Water Resour., 25, 1275-1286.
36. Meteorological Service of Canada (2000), Canadian Snow Data CD: Daily Snow Depth and Snow Water Equivalent [CD-ROM], Downsview, Ont., Canada. (Available at http://www.ccin.ca/datasets/snowcd/docs/1999/ Readme.htm)
37. Mote, T., A. Grandstein, D. Leathers, and D. Robinson (2003), A comparison of modeled, remotely sensed, and measured snow water equivalent in the northern Great Plains, Water Resour. Res., 39(8), 1209, doi:10.1029/2002WR001782.
38. Nijssen, B., and D. P. Lettenmaier (2004), Effect of precipitation sampling error on simulated hydrological fluxes and states: Anticipating the Global Precipitation Measurement satellites, J. Geophys. Res., 109, D02103, doi:10.1029/2003JD003497.
39. Niu, G.-Y., and Z.-L. Yang (2007), An observation-based formulation of snow cover fraction and its evaluation over large North American river basins, J. Geophys. Res., 112, D21101, doi:10.1029/2007JD008674.
40. 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.
41. Oleson, K. W., et al. (2004), Technical description of the Community Land Model (CLM), NCAR Tech. Note NCAR/TN-461 + STR, 173 pp., Natl. Cent. for Atmos. Res.,Boulder, Colo.
42. Reichle, R. H., and R. D. Koster (2003), Assessing the impact of horizontal error correlations in background fields on soil moisture estimation, J. Hydrometeorol., 4, 1229-1242.
43. Reichle, R. H., and R. D. Koster (2004), Bias reduction in short records of satellite soil moisture, Geophys. Res. Lett., 31, L19501, doi:10.1029/2004GL020938.
44. Reichle, R. H., D. B. McLaughlin, and D. Entekhabi (2002), Hydrologic data assimilation with the ensemble Kalman filter, Mon. Weather Rev., 130, 103-114.
45. Rodell, M., and P. R. Houser (2004), Updating a land surface model with MODIS-derived snow cover, J. Hydrometeorol., 5, 1064-1075.
46. Rodell, M., et al. (2004), The global land data assimilation system, Bull. Am. Meteorol. Soc., 85, 381-394.
47. Simic, A., R. Fernandes, R. Brown, P. Romanov, W. Park, and D. K. Hall (2004), Validation of VEGETATION, MODIS, and GEOS + SSM/I snow-cover products over Canada based on surface snow depth observations, Hydrol. Processes, 18, 1089-1104.
48. Slater, A. G., and M. P. Clark (2006), Snow data assimilation via an ensemble Kalman filter, J. Hydrometeorol., 7, 3-22.
49. Tedesco, M., E. J. Kim, A. W. England, R. de Roo, and J. P. Hardy (2006), Brightness temperatures of snow melting/refreezing cycles: Observations and modeling using a multilayer dense medium theory-based model, IEEE Trans. Geosci. Remote Sens., 44(12), 3563-3573.
50. Yang, F., A. Kumar, W. Wang, H. H. Juang, and M. Kanamitsu (2001), Snow-albedo feedback and seasonal climate variability over North America, J. Clim., 14, 4245-4248.
51. Yang, Z.-L., and G.-Y. Niu (2003), The Versatile Integrator of Surface and Atmosphere Processes (VISA) part 1: Model description, Global Planet. Change, 38, 175-189.
52. Yang, Z.-L., R. E. Dickinson, A. Robock, and K. Y. Vinnikov (1997), Validation of the snow sub-model of the biosphere-atmosphere transfer scheme with Russian snow cover and meteorological observational data, J. Clim., 10, 353-373.