A 41-year (1979–2019) passive-microwave-derived lake ice phenology data record of the Northern Hemisphere
-
Published:2022-07-19
Issue:7
Volume:14
Page:3329-3347
-
ISSN:1866-3516
-
Container-title:Earth System Science Data
-
language:en
-
Short-container-title:Earth Syst. Sci. Data
Author:
Cai Yu, Duguay Claude R.ORCID, Ke Chang-Qing
Abstract
Abstract. Seasonal ice cover is one of the important attributes of
lakes in middle- and high-latitude regions. The annual freeze-up and breakup
dates as well as the duration of ice cover (i.e., lake ice phenology) are
sensitive to the weather and climate; hence, they can be used as an indicator
of climate variability and change. In addition to optical, active microwave,
and raw passive microwave data that can provide daily observations, the
Calibrated Enhanced-Resolution Brightness Temperature (CETB) dataset
available from the National Snow and Ice Data Center (NSIDC) provides an
alternate source of passive microwave brightness temperature (TB)
measurements for the determination of lake ice phenology on a 3.125 km grid.
This study used Scanning Multichannel Microwave Radiometer (SMMR), Special
Sensor Microwave/Imager (SSM/I), and Special Sensor Microwave Imager/Sounder
(SSMIS) data from the CETB dataset to extract the ice phenology for 56 lakes
across the Northern Hemisphere from 1979 to 2019. According to the
differences in TB between lake ice and open water, a threshold algorithm
based on the moving t test method was applied to determine the lake ice
status for grids located at least 6.25 km away from the lake shore, and the
ice phenology dates for each lake were then extracted. When ice phenology
could be extracted from more than one satellite over overlapping periods,
results from the satellite offering the largest number of observations were
prioritized. The lake ice phenology results showed strong agreement with an
existing product derived from Advanced Microwave Scanning Radiometer for Earth Observing System
(AMSR-E) and Advanced Microwave Scanning Radiometer 2 (AMSR2) data (2002 to
2015), with mean absolute errors of ice dates ranging from 2 to 4 d.
Compared with near-shore in situ observations, the lake ice results, while
different in terms of spatial coverage, still showed overall consistency.
The produced lake ice record also displayed significant consistency when
compared to a historical record of annual maximum ice cover of the
Laurentian Great Lakes of North America. From 1979 to 2019, the average
complete freezing duration and ice cover duration for lakes forming a
complete ice cover on an annual basis were 153 and 161 d, respectively.
The lake ice phenology dataset – a new climate data record (CDR) – will
provide valuable information to the user community about the changing ice
cover of lakes over the last 4 decades. The dataset is available at
https://doi.org/10.1594/PANGAEA.937904 (Cai et al., 2021).
Funder
National Natural Science Foundation of China China Scholarship Council Natural Sciences and Engineering Research Council of Canada
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
Reference55 articles.
1. 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. 2. 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. 3. 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. 4. 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. 5. 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).
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|