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Satellite-Derived Snow Intercomparison and Validation References

2021

Barrou Dumont, Z., and Coauthors, 2021: Brief communication: Evaluation of the snow cover detection in the   Copernicus High Resolution Snow & Ice Monitoring Service. The Cryosphere, 15, 4975–4980,   https://doi.org/10.5194/tc-15-4975-2021.

Muhuri, A., Gascoin, S., Menzel, L., Kostadinov, T. S., Harpold, A. A., Sanmiguel-Vallelado, A., & López-Moreno, J. I.   (2021). Performance assessment of optical satellite-based operational snow cover monitoring algorithms in forested   landscapes. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 7159-7178.

2020

Pulliainen, Jouni, Kari Luojus, Chris Derksen, Lawrence Mudryk, Juha Lemmetyinen, Miia Salminen, Jaakko Ikonen, et   al. (2020) Patterns and trends of Northern Hemisphere snow mass from 1980 to 2018. Nature 581, no 7808: 294-98.   https://doi.org/10.1038/s41586-020-2258-0.

2019

Hall, D. K., Riggs, G. A., DiGirolamo, N. E., and Román, M. O. Evaluation of MODIS and VIIRS cloud-gap-filled snow-
  cover products for production of an Earth science data record, Hydrology and Earth System Sciences, 2019,   23:5227-5241, https://doi.org/10.5194/hess-23-5227-2019.

Thapa, S., Chhetri, P. K., & Klein, A. G. (2019). Cross-Comparison between MODIS and VIIRS Snow Cover Products   for the 2016 Hydrological Year. Climate, 7(4), 57. https://doi.org/10.3390/cli7040057

Orsolini, Y., Wegmann, M., Dutra, E., Liu, B., Balsamo, G., Yang, K., de Rosnay, P., Zhu, C., Wang, W., Senan, R., and   Arduini, G.: Evaluation of snow depth and snow cover over the Tibetan Plateau in global reanalyses using in situ and   satellite remote sensing observations, The Cryosphere, 13, 2221–2239, https://doi.org/10.5194/tc-13-2221-2019,   2019.

Lievens, H., Demuzere, M., Marshall, H.-P., Reichle, R.H., Brucker, L., Brangers, I., De Rosnay, P., Dumont, M., Girotto,   M., Immerzeel, W.W., Jonas, T., Kim, E.J., Koch, I., Marty, C., Saloranta, T., Schöber, J., De Lannoy, G.J.M., 2019.   Snow depth variability in the Northern Hemisphere mountains observed from space. Nat Commun 10, 4629.   https://doi.org/10.1038/s41467-019-12566-y

2018

Masson, Théo, Marie Dumont, Mauro Dalla Mura, Pascal Sirguey, Simon Gascoin, Jean-Pierre Dedieu, & Jocelyn   Chanussot. (2018) An Assessment of Existing Methodologies to Retrieve Snow Cover Fraction from MODIS Data.   Remote Sensing 10, no 4 : 619. https://doi.org/10.3390/rs10040619.

Dawson, N., P. Broxton, and X. Zeng, 2018: Evaluation of Remotely Sensed Snow Water Equivalent and Snow Cover   Extent over the Contiguous United States. J. Hydrometeor., 19, 1777–1791, https://doi.org/10.1175/JHM-D-18-  0007.1.

2017

Larue, F., Royer, A., De Sève, D., Langlois, A., Roy, A., & Brucker, L. (2017). Validation of GlobSnow-2 snow water   equivalent over Eastern Canada. Remote sensing of environment, 194, 264-277.

2016

Tedesco M, Jeyaratnam J. A New Operational Snow Retrieval Algorithm Applied to Historical AMSR-E Brightness   Temperatures. Remote Sensing. 2016; 8(12):1037. https://doi.org/10.3390/rs8121037

2015

Metsämäki, Sari, Jouni Pulliainen, Miia Salminen, Kari Luojus, Andreas Wiesmann, Rune Solberg, Kristin Böttcher,   Mwaba Hiltunen, & Elisabeth Ripper. (2015) Introduction to GlobSnow Snow Extent Products with Considerations for   Accuracy Assessment. Remote Sensing of Environment 156: 96-108. https://doi.org/10.1016/j.rse.2014.09.018.

2013

Rittger, Karl, Thomas H. Painter, & Jeff Dozier. (2013) Assessment of Methods for Mapping Snow Cover from MODIS.   Advances in Water Resources 51 : 367-80. https://doi.org/10.1016/j.advwatres.2012.03.002.

Raleigh, M. S., K. Rittger, C. E. Moore, B. Henn, J. A. Lutz, and J. D. Lundquist, 2013: Ground-based testing of MODIS   fractional snow cover in subalpine meadows and forests of the Sierra Nevada. Remote Sensing of Environment, 128,   44-57, https://doi.org/10.1016/j.rse.2012.09.016.

2012

Frei, A., M. Tedesco, S. Lee, J. Foster, D. Hall, R. Kelly and D. Robinson, 2012: A review of current-generation   satellite-based snow products, Advances in Space Research, doi:10.1016/j.asr.2011.12.021.

Parajka, J., L. Holko, Z. Kostka, and G. Blöschl, 2012: MODIS snow cover mapping accuracy in a small mountain   catchment – comparison between open and forest sites. Hydrology and Earth System Sciences, 16, 2365-2377,   https://doi.org/10.5194/hess-16-2365-2012.

Riggs, G.A. and D.K. Hall, 2012: Improved snow mapping accuracy with revised MODIS snow algorithm, Proceedings   of the 69th Annual Eastern Snow Conference, 5-7 June 2012, YMCA Frost Valley, Claryville, NY.

Liyun Dai, Tao Che, Jian Wang, Pu Zhang, 2011. Snow Depth and Snow Water Equivalent Estimation from AMSR-E   Data   Based on a priori Snow Characteristics in Xinjiang, China. 2012. Remote Sensing of Environment, Volume 127,   Pages 4-29, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2011.08.029.

2010 and earlier

Riggs, G.A. and D.K. Hall, 2010: MODIS Snow and Ice Products —Assessment and Applications, a chapter in, Land   Remote Sensing and Global Environmental Change - NASA's Earth Observing System and the Science of ASTER   and MODIS, Bhaskar Ramachandran (ed.), Springer, pp. 681-707. doi: 10.1007/978-1-4419-6749-7_30.

Che, Tao, Li, Xin, Jin, Rui, et al. Snow depth derived from passive microwave remote-sensing data in China. Annals of   Glaciology, Vol. 49, 2008.

Hall, D.K. and G.A. Riggs, 2007: Accuracy Assessment of the MODIS Snow Products,   Hydrological Processes, 21(12):   1534-1547.

Parajka, J. and G. Blöschl, 2006: Validation of MODIS Snow Cover Images Over Austria, Hydrology and Earth System   Sciences, 10(5): 679-689

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 Sensing of Environment, 86:162-176. DOI: 10.1016/S0034-4257(03)00097-X.

Brown, R., R. Fernandes, D.K. Hall, D. Massonnet, W. Park, P. Romanov and A. Simic, 2003: Validation of MODIS,   Vegetation, and GOES+SSM/I Snow Cover Products over Canada Based on Surface Snow Depth Observations,   International Geoscience and Remote Sensing Symposium, 2: 836-838.


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