{"id":636,"date":"2023-03-23T05:09:19","date_gmt":"2023-03-23T05:09:19","guid":{"rendered":"https:\/\/garslab.com\/?p=636"},"modified":"2023-12-27T03:46:03","modified_gmt":"2023-12-27T03:46:03","slug":"global-lake-ice-phenology-glip-dataset-1861-2099","status":"publish","type":"post","link":"https:\/\/garslab.com\/?p=636","title":{"rendered":"Global Lake Ice Phenology"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><strong>Basic descriptions<\/strong><\/h2>\n\n\n\n<p>The global annual lake ice phenological dataset includes the freeze-up date, break-up date, and ice duration&nbsp;for 74,245 lakes in the northern hemisphere. The dataset is divided into three parts: 1) current data, obtained from MODIS productions through a DLRM model (with parameters provided), covering the period of 2001 to 2020; 2) historical and 3) future simulation data, obtained from the&nbsp;temperature-based lakespecific models, for the periods of 1861-2005 and 2006-2099, respectively.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2128\" height=\"915\" src=\"http:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/61-1.jpg\" alt=\"\" class=\"wp-image-841\" srcset=\"https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/61-1.jpg 2128w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/61-1-300x129.jpg 300w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/61-1-1024x440.jpg 1024w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/61-1-150x64.jpg 150w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/61-1-768x330.jpg 768w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/61-1-1536x660.jpg 1536w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/61-1-2048x881.jpg 2048w\" sizes=\"auto, (max-width: 2128px) 100vw, 2128px\" \/><\/figure>\n\n\n\n<p>Users can use this dataset to obtain the annual freezing start time, end time, and freezing duration of lakes; It can also track its long-term changes.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"2128\" height=\"1598\" src=\"http:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/62-1.jpg\" alt=\"\" class=\"wp-image-843\" srcset=\"https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/62-1.jpg 2128w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/62-1-300x225.jpg 300w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/62-1-1024x769.jpg 1024w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/62-1-150x113.jpg 150w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/62-1-768x577.jpg 768w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/62-1-1536x1153.jpg 1536w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/62-1-2048x1538.jpg 2048w\" sizes=\"auto, (max-width: 2128px) 100vw, 2128px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Data download<\/strong><\/h2>\n\n\n\n<p>The GLIP&nbsp;dataset is publicly available at this lab webpage via the following links:<\/p>\n\n\n\n<p>1) <a href=\"https:\/\/doi.org\/10.6084\/m9.figshare.19424801\" target=\"_blank\" rel=\"noreferrer noopener\"><u>https:\/\/doi.org\/10.6084\/m9.figshare.19424801<\/u><\/a>.<\/p>\n\n\n\n<p>2) <a href=\"https:\/\/data.tpdc.ac.cn\/zh-hans\/data\/c4480050-ece0-4623-867d-80236bccd885\" target=\"_blank\" rel=\"noreferrer noopener\"><u>https:\/\/data.tpdc.ac.cn\/zh-hans\/data\/c4480050-ece0-4623-867d-80236bccd885<\/u><\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Related Publications<\/strong><\/h2>\n\n\n\n<p>Wang, X., Feng, L.*, Qi, W., Cai, X., Zheng, Y., et al. (2022). Continuous loss of global lake ice across two centuries revealed by satellite observations and numerical modeling. Geophysical Research Letters, <a href=\"https:\/\/doi.org\/10.1029\/2022GL099022\" target=\"_blank\" rel=\"noreferrer noopener\"><u>https:\/\/doi.org\/10.1029\/2022GL099022<\/u><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Basic descriptions The global annual lake ice phenological dataset includes the freeze-up date, break-up date, and ice duration&nbsp;for 74,245 lakes in the northern hemisphere. The dataset is divided into three parts: 1) current data, obtained from MODIS productions through a DLRM model (with parameters provided), covering the period of 2001 to 2020; 2) historical and<\/p>\n","protected":false},"author":2,"featured_media":637,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,20],"tags":[],"class_list":["post-636","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data","category-physical-parameters"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Global Lake Ice Phenology - Global Aqua Remote Sensing (GARS) laboratory<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/garslab.com\/?p=636\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Global Lake Ice Phenology - Global Aqua Remote Sensing (GARS) laboratory\" \/>\n<meta property=\"og:description\" content=\"Basic descriptions The global annual lake ice phenological dataset includes the freeze-up date, break-up date, and ice duration&nbsp;for 74,245 lakes in the northern hemisphere. 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