Trends of Thermal, Wetness, and Vegetative Change in the Circumpolar Arctic ... : Arctic-Boreal Vulnerability Experiment (ABoVE) ...

• Main Authors: Watts, J.D., Potter, S., Rogers, B.M., Virkkala, A-M., Fiske, G., Arndt, K., Burrell, A., Natali, S., Butler, K., Gerlt, B., Grayson, J., Shestakova, T.A., Du, J., Kim, Y.
• Format: Article in Journal/Newspaper
• Language: English
• Published: ORNL Distributed Active Archive Center 2024
• Subjects: CLIMATE INDICATORS, ATMOSPHERIC/OCEAN INDICATORS, PRECIPITATION INDICATORS, PRECIPITATION TRENDS; CLIMATE INDICATORS, LAND SURFACE/AGRICULTURE INDICATORS, SOIL MOISTURE,; ATMOSPHERE, ATMOSPHERIC TEMPERATURE, SURFACE TEMPERATURE, AIR TEMPERATURE; LAND SURFACE, FROZEN GROUND, SEASONALLY FROZEN GROUND,; TERRESTRIAL HYDROSPHERE, SNOW/ICE, SNOW COVER,; LAND SURFACE, FROZEN GROUND, ACTIVE LAYER,; BIOSPHERE, VEGETATION, VEGETATION INDEX, NORMALIZED DIFFERENCE VEGETATION INDEX NDVI; ATMOSPHERE, ATMOSPHERIC WATER VAPOR, WATER VAPOR INDICATORS, VAPOR PRESSURE; BIOSPHERE, VEGETATION, VEGETATION OPTICAL DEPTH,; CLIMATE INDICATORS, CRYOSPHERIC INDICATORS, ,; TERRESTRIAL HYDROSPHERE, SURFACE WATER, ,; CLIMATE INDICATORS, LAND SURFACE/AGRICULTURE INDICATORS, VEGETATION COVER,; COMPUTERS, Computer; regional hotspot; trend analysis; boreal zone; arctic; remotely sensed indicators; change; climate indicators; Active layer thickness; Arctic; Ice; permafrost
• Online Access: https://dx.doi.org/10.3334/ornldaac/2322; https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=2322

This dataset provides estimates of trends in temperature, moisture, and vegetation changes over the circumpolar Arctic. Time series trends were measured by the Theil-Sen slope and associated p-values for a variety of variables including 2-meter air temperature, precipitation, soil moisture, non-frozen season days, permafrost active layer thickness, snow cover, vapor pressure deficit, land surface water fraction, normalized difference vegetation index (NDVI), and vegetation optical depth. Trends were measured annually and over specific seasons of spring (March to May), summer (June to August), autumn (September to November) and winter (December to February), and for the 1980-2020 and 1997-2020 time periods, depending on the variable and original data availability. Emerging hotspots of change were identified for the same variables and seasons, but only over the 1997-2020 period. In addition, a multivariate ranking was used to create combined hotspot layers to show areas of substantial changes in the thermal ...