Comparison of snow mass estimates from a prototype passive microwave snow algorithm, a revised algorithm and a snow depth climatology

Remote Sensing of Environment

Volumn 62, Issue 2, 1997, Pages 132-142

  Foster, J L ^a   Chang, A T C ^b   Hall, D K ^b  

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLIMATOLOGY; MICROWAVE DEVICES; SNOW;

SNOW DEPTH CLIMATOLOGY; SNOW DEPTH ESTIMATION;

REMOTE SENSING;

ALGORITHM; BRIGHTNESS TEMPERATURE; MICROWAVE SENSING; SNOW DEPTH;

EID: 0031277604     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(97)00085-0     Document Type: Article

References (20)

1. Armstrong R. (1985), Metamorphism in a subfreezing seasonal snow cover, Ph.D. thesis, University of Colorado, Boulder.
2. Armstrong, R., Chang, A., Rango, A., and Josberger, E. (1993), Snow depths and grain size relationships with relevance for passive microwave studies. Ann. Glaciol. 17:171-176.
3. Arpe, K., Behr, H., and Dumenil, L. (1993), Validation of the ECHAM models with respect to precipitation, snow and river runoff. In Analysis Methods of Precipitation on a Global Scale, Report of a GEWEX workshop, Koblenz, Germany, 14-17 September 1992, WCRP-81, WMO-TD-No. 558, A/104-A/122.
4. Bilello, M. A. (1984), Regional and seasonal variations in snow cover density in the USSR, U.S. Army Corps of Engineers, CRREL Report 84-22, 70 pp.
5. Bromwich, D. H., Tzeng, R. V., and Parish, T. R. (1994), Simulation of the modern Arctic climate by the NCAR CCMR. J. Clim. 7:1050-1069.
6. Chang, A. T. C., Foster, J. L., and Hall, D. K. (1987), Nimbus7 SMMR derived global snow cover parameters. Ann. Glaciol. 9:39-44.
7. Foster, D. J., Jr., and Davy, R. D. (1988), Global Snow Depth Climatology, USAF Publication USAFETAC/TN-88/006, Scott Air Force Base, IL.
8. Foster, J. L., Chang, A. T. C., Hall, D. K., and Rango, A. (1991), Determination of snow water equivalent in boreal forests using microwave radiometry. Arctic 44(Suppl. 1): 147-152.
9. Foster, J. L., Liston, G., and Koster, R. (1996), Snow cover and snow mass intercomparisons of general circulation models and remotely sensed data sets. J. Clim. 9:409-426.
10. Goodison, B., Rott, H., and Armstrong, R. (1993), Snow group workshop. In Proceeding of the ESA/NASA International Workshop on Passive Microwave Sensing Research Related to Land Atmosphere Interactions, St. Lary, France. (B. Choudhury, Y. Kerr, E. Njoko, P. Pampaloni, Eds.), VSP, Utrecht, The Netherlands.
11. Gurney, R. J., and Hall, D. K. (1983), Satellite-derived surface energy balance estimates in the Alaskan sub-arctic, J. Clim. Appl. Meteorol. 22:115-125.
12. Josberger, E., Gloersen, P., Chang, A., and Rango, A. (1995), The effect of snow grain size on passive microwave signature for the upper Colorado River basin snowpack. J. Geophys. Res. 101:6679-6688.
13. Lockwood, J. G. (1974), World Climatology, St. Martins, New York.
14. Marshall, S., and Oglesby, R. (1994), An improved snow hydrology for GCMs. Part 1: Snow cover fraction, albedo, grain size and age. Clim. Dyn. 10:21-37.
15. Matzler, C. E. (1994), Passive microwave signatures of landscapes in winter. Meteorol. Atmos. Phys. 54:241-260.
16. Robinson, D. A. (1984), Anthropogenic impact on winter surface albedo, Doctoral thesis, Columbia University, 384 pp.
17. Robinson, D. A., and Kukla, G. (1985), Maximum surface albedo of seasonally snow covered lands in the Northern Hemisphere. J. Clim. Appl. Meteorol. 24:402-411.
18. Steffen, K., Key J., Cavalieri, D., et al. (1992), The estimation of geophysical parameters using passive microwave algorithms. In Microwave Remote Sensing of Sea Ice, (F. D. Carsey, Ed.), Geophysical Monograph 68, American Geophysical Union, Washington, DC, Chap. 10.
19. Sturm, M., Grenfell, T., and Perovich, D. K. (1993), Passive microwave measurements of tundra and taiga snow covers in Alaska, USA. Ann. Glaciol 17:125-130.
20. Tait, A., and Armstrong, R. (1996), Evaluation of SMMR-derived snow depth using ground-based measurements. Int. J. Remote Sens. 17(4):657-665.