Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-3329-2022
https://doi.org/10.5194/essd-14-3329-2022
Data description paper
 | 
19 Jul 2022
Data description paper |  | 19 Jul 2022

A 41-year (1979–2019) passive-microwave-derived lake ice phenology data record of the Northern Hemisphere

Yu Cai, Claude R. Duguay, and Chang-Qing Ke

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Cited articles

Arp, C. D., Jones, B. M., and Grosse, G.: Recent lake ice-out phenology within and among lake districts of Alaska, U.S.A., Limnol. Oceanogr., 58, 2013–2028, https://doi.org/10.4319/lo.2013.58.6.2013, 2013. 
Bellerby, T., Taberner, M., Wilmshurst, A., Beaumont, M., Barrett, E., Scott, J., and Durbin, C.: Retrieval of land and sea brightness temperatures from mixed coastal pixels in passive microwave data, IEEE T. Geosci. Remote, 36, 1844–1851, https://doi.org/10.1109/36.729355, 1998. 
Belward, A., Bourassa, M., Dowell, M., Briggs, S., Dolman, H., Holmlund, K., and Verstraete, M.: The Global Observing System for Climate: Implementation Needs, Ref. Number GCOS-200 315, https://library.wmo.int/opac/doc_num.php?explnum_id=3417 (last access: 1 December 2021), 2016. 
Bennartz, R.: On the use of SSM/I measurements in coastal regions, J. Atmos. Ocean. Tech., 16, 417–431, https://doi.org/10.1175/1520-0426(1999)016<0417:OTUOSI>2.0.CO;2, 1999. 
Benson, B., Magnuson, J., and Sharma, S.: Global Lake and River Ice Phenology Database, Version 1, NSIDC Natl. Snow Ice Data Center [data set], Boulder, https://doi.org/10.7265/N5W66HP8, 2000 (updated 2020). 
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Short summary
Seasonal ice cover is one of the important attributes of lakes in middle- and high-latitude regions. This study used passive microwave brightness temperature measurements to extract the ice phenology for 56 lakes across the Northern Hemisphere from 1979 to 2019. A threshold algorithm was applied according to the differences in brightness temperature between lake ice and open water. The dataset will provide valuable information about the changing ice cover of lakes over the last 4 decades.
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