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Northeast Alaska Climate: Using Earth Observations to Evaluate Snow Variability through a Climatological Analysis to Support Ecological Monitoring in Northeast AlaskaAlaska is experiencing climate change at an unprecedented rate, with temperatures increasing twice as fast as the national average. The resulting changes to the landscape and ecosystems are significant, including shorter winters, declining snow depth, thawing permafrost, and rapidly receding glaciers. These changes are not only exacerbating the negative impacts of oil exploration but also affecting the food security of indigenous communities that rely on hunting as a subsistence food source. With the US Fish and Wildlife Service managing a potential tundra travel season for the first time in its history, adequate data on historic snow variables is essential to protect the unique habitat of the area. This project used NASA satellite and assimilation system data to inform and improve the current understanding of snow patterns in the Arctic National Wildlife Refuge and the National Petroleum Reserve – Alaska. The DEVELOP team used MODIS Normalized Difference Snow Index data to determine snow season duration, snow change frequency, and the first and last days of snow. The team also utilized the 2.1 Global Land Data Assimilation System and Daymet V4 products to study climatological trends in snow depth and snow water equivalent, respectively, across the study areas. The results of this study give users the capacity to visualize maps of multiple snow variables to monitor changes in snow conditions and proactively prepare for the ecological, cultural, and landscape impacts that changes in snow variability will cause in the future.
Document ID
20230006051
Acquisition Source
Langley Research Center
Document Type
Other - Develop Technical Report
Authors
Kristin Anderson
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Omeed Arooji
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Isabella Chittumuri
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Thomas Germann
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Date Acquired
April 19, 2023
Publication Date
March 31, 2023
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NNL16AA05C
WBS: 970315.02.02.01.08
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Professional Review
Keywords
Remote Sensing
MODIS
GLDAS
Snow Products
Alaska
Snow Water Equivalent
Snow Cover Fraction
Snow Depth
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