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2014-07-14
Snowfall Detectability of NASA's CloudSat : the First Cross-Investigation of Its 2c-Snow-Profile Product and National Multi-Sensor Mosaic QPE (NMQ) Snowfall Data
By
Progress In Electromagnetics Research, Vol. 148, 55-61, 2014
Abstract
This study investigates snowfall detectability and snowfall rate estimation with NASA's CloudSat through the first evaluation of its newly released 2C-16 SNOW-PROFILE products using the National Mosaic and Multisensor QPE System (NMQ) snowfall products. The primary focus is on the detection and estimation of 18 surface snowfall. The results show that the CloudSat product has good detectability of light snow (snow water equivalent less than 1 mm/h) but degrades in moderate and heavy snow (heavier than 1 mm/h). The analysis suggests that the new 2C-SNOW-PROFILE algorithm is insufficient in correcting signal losses due to attenuation. Its underestimation is well correlated to snowfall intensity. Issues of sensitivity and data sampling with ground radars, which may affect the interpretation of the results, are also discussed. This evaluation of the new 2C-SNOW-PROFILE algorithm provides guidance for applications of the product and identifies particular error sources that can be addressed in future versions of the CloudSat snowfall algorithm.
Citation
Qing Cao, Yang Hong, Sheng Chen, Jonathan J. Gourley, Jian Zhang, and Pierre E. Kirstetter, "Snowfall Detectability of NASA's CloudSat : the First Cross-Investigation of Its 2c-Snow-Profile Product and National Multi-Sensor Mosaic QPE (NMQ) Snowfall Data," Progress In Electromagnetics Research, Vol. 148, 55-61, 2014.
doi:10.2528/PIER14030405
References

1. Levizzani, V., S. Laviola, and E. Cattani, "Detection and measurement of snowfall from space," Remote Sensing, Vol. 3, 145-166, 2011.
doi:10.3390/rs3010145

2. Qu, J. J., A. M. Powell, and M. S. Kumar, Satellite-based Applications on Climate Change, Springer, 2013.

3. Kidd, C., P. Bauer, J. Turk, G. Hu®man, R. Joyce, K. Hsu, and D. Braithwaite, "Inter-comparison of high-resolution precipitation products over northwest Europe," Journal of Hydrometeorology, Vol. 13, 67-83, 2011.
doi:10.1175/JHM-D-11-042.1

4. Zhang, J., K. Howard, C. Langston, S. Vasilo®, B. Kaney, A. Arthur, S. Van Cooten, K. Kelleher, D. Kitzmiller, and F. Ding, "National mosaic and multi-sensor QPE (NMQ) system: Description, results, and future plans," Bulletin of the American Meteorological Society, Vol. 92, 1321-1338, 2011.
doi:10.1175/2011BAMS-D-11-00047.1

5. Kirstetter, P. E., Y. Hong, J. Gourley, S. Chen, Z. Flamig, J. Zhang, M. Schwaller, W. Petersen, and E. Amitai, "Toward a framework for systematic error modeling of spaceborne precipitation radar with NOAA/NSSL ground radar-based national mosaic QPE," Journal of Hydrometeorology, Vol. 13, 1285-1300, 2012.
doi:10.1175/JHM-D-11-0139.1

6. Munchak, S. J. and G. Skofronick-Jackson, "Evaluation of precipitation detection over various surfaces from passive microwave imagers and sounders," Atmospheric Research, Vol. 131, 81-94, 2013.
doi:10.1016/j.atmosres.2012.10.011

7. Chen, S., P. E. Kirstetter, Y. Hong, J. J. Gourley, Y. D. Tian, Y. C. Qi, Q. Cao, J. Zhang, K. Howard, J. J. Hu, and X. W. Xue, "Evaluation of spatial errors of precipitation rates and types from TRMM spaceborne radar over the southern CONUS," Journal of Hydrometeorology, Vol. 14, 1884-1896, Dec. 1, 2013.
doi:10.1175/JHM-D-13-027.1

8. Wang, J. and M. Tedesco, "Identification of atmospheric in°uences on the estimation of snow water equivalent from AMSR-E measurements," Remote Sensing of Environment, Vol. 111, 398-408, 2007.
doi:10.1016/j.rse.2006.10.024

9. Noh, Y. J., G. Liu, A. S. Jones, and T. H. Vonder Haar, "Toward snowfall retrieval over land by combining satellite and in situ measurements," Journal of Geophysical Research: Atmospheres, (1984{2012), Vol. 114, 2009.

10. Noh, Y. J., G. Liu, E. K. Seo, J. R. Wang, and K. Aonashi, "Development of a snowfall retrieval algorithm at high microwave frequencies," Journal of Geophysical Research: Atmospheres (1984{ 2012), Vol. 111, 2006.

11. Surussavadee, C. and D. H. Staelin, "Satellite retrievals of arctic and equatorial rain and snowfall rates using millimeter wavelengths," IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, 3697-3707, 2009.
doi:10.1109/TGRS.2009.2029093

12. Liu, G. and E. K. Seo, "Detecting snowfall over land by satellite high-frequency microwave observations: The lack of scattering signature and a statistical approach," Journal of Geophysical Research: Atmospheres, 1376-1387, 2013.
doi:10.1002/jgrd.50172

13. Skofronick-Jackson, G. M., B. T. Johnson, and S. J. Munchak, "Detection thresholds of falling snow from satellite-borne active and passive sensors," IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, 4177-4189, 2012.
doi:10.1109/TGRS.2012.2227763

14. Mitrescu, C., T. L'Ecuyer, J. Haynes, S. Miller, and J. Turk, "CloudSat precipitation profiling algorithm-model description," Journal of Applied Meteorology and Climatology, Vol. 49, 991-1003, 2010.
doi:10.1175/2009JAMC2181.1

15. Smalley, M., T. L'Ecuyer, M. Lebsock, and J. Haynes, "A comparison of precipitation occurrence from the NCEP StageIV QPE product and the CloudSat cloud profiling radar," Journal of Hydrometeorology, Vol. 15, 444-458, 2013.
doi:10.1175/JHM-D-13-048.1

16. Wood, N., T. S. L'Ecuyer, D. Vane, G. Stephens, and P. Partain, "Level 2C snow pro¯le process description and interface control document,", 2013.

17. Habib, E., A. Henschke, and R. F. Adler, "Evaluation of TMPA satellite-based research and real-time rainfall estimates during six tropical-related heavy rainfall events over Louisiana, USA," Atmospheric Research, Vol. 94, 373-388, 2009.
doi:10.1016/j.atmosres.2009.06.015

18. Wu, W., D. Kitzmiller, and S. Wu, "Evaluation of radar precipitation estimates from the national mosaic and multisensor quantitative precipitation estimation system and the WSR-88D precipitation processing system over the conterminous united states," Journal of Hydrometeorology, Vol. 13, 1080-1093, 2012.
doi:10.1175/JHM-D-11-064.1

19. Auer, Jr. and A. H., "The rain versus snow threshold temperatures," Weatherwise, Vol. 27, 67, 1974.
doi:10.1080/00431672.1974.9931684

20. Davis, R. E., M. B. Lowit, P. C. Knappenberger, and D. R. Legates, "A climatology of snowfall- temperature relationships in Canada," Journal of Geophysical Research: Atmospheres (1984{2012), Vol. 104, 11985-11994, 1999.
doi:10.1029/1999JD900104