Spatiotemporal Lake Skin Summer Temperature Trends in the Northeast United StatesSource: Earth Interactions:;2016:;volume( 020 ):;issue: 025::page 1DOI: 10.1175/EI-D-16-0015.1Publisher: American Meteorological Society
Abstract: akes have been suggested as an indicator of climate change; however, long-term, systematic records of lake temperature are limited. Satellite remote sensing is capable of supporting lake temperature mapping with the advantage of large-area and systematic observations. The goal of this research application was to assess spatiotemporal trends in lake skin temperature for all lakes over 8 ha across northern New England for the past three decades. Nearly 10 000 Landsat scenes for July, August, and September from 1984 to 2014 were processed using MODTRAN and MERRA parameterizations to generate atmospherically corrected lake skin temperature records. Results show, on average, lakes warmed at a rate of 0.8°C decade?1, with smaller lakes warming at a faster rate. Complementing regression and space?time analyses showed similar results (R2 = 0.63) for lake temperature trends and found lakes, on average, are warming faster than daily maximum or minimum air temperature. No major hot spots were found as lake temperature changes were heterogeneous on a local scale and evenly distributed across the region. Maximum and minimum daily temperature, lake size, and elevation were found as significant drivers of lake temperature. This effort provides the first regionally focused and comprehensive spatiotemporal assessment of thousands (n = 3955) of lakes concentrated in one geographic region. The approach is scalable and adaptable to any region for assessing lake temperature trends and potential drivers.
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contributor author | Torbick, Nathan | |
contributor author | Ziniti, Beth | |
contributor author | Wu, Shuang | |
contributor author | Linder, Ernst | |
date accessioned | 2017-06-09T16:47:16Z | |
date available | 2017-06-09T16:47:16Z | |
date copyright | 2016/12/01 | |
date issued | 2016 | |
identifier other | ams-74068.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4216252 | |
description abstract | akes have been suggested as an indicator of climate change; however, long-term, systematic records of lake temperature are limited. Satellite remote sensing is capable of supporting lake temperature mapping with the advantage of large-area and systematic observations. The goal of this research application was to assess spatiotemporal trends in lake skin temperature for all lakes over 8 ha across northern New England for the past three decades. Nearly 10 000 Landsat scenes for July, August, and September from 1984 to 2014 were processed using MODTRAN and MERRA parameterizations to generate atmospherically corrected lake skin temperature records. Results show, on average, lakes warmed at a rate of 0.8°C decade?1, with smaller lakes warming at a faster rate. Complementing regression and space?time analyses showed similar results (R2 = 0.63) for lake temperature trends and found lakes, on average, are warming faster than daily maximum or minimum air temperature. No major hot spots were found as lake temperature changes were heterogeneous on a local scale and evenly distributed across the region. Maximum and minimum daily temperature, lake size, and elevation were found as significant drivers of lake temperature. This effort provides the first regionally focused and comprehensive spatiotemporal assessment of thousands (n = 3955) of lakes concentrated in one geographic region. The approach is scalable and adaptable to any region for assessing lake temperature trends and potential drivers. | |
publisher | American Meteorological Society | |
title | Spatiotemporal Lake Skin Summer Temperature Trends in the Northeast United States | |
type | Journal Paper | |
journal volume | 20 | |
journal issue | 25 | |
journal title | Earth Interactions | |
identifier doi | 10.1175/EI-D-16-0015.1 | |
journal fristpage | 1 | |
journal lastpage | 21 | |
tree | Earth Interactions:;2016:;volume( 020 ):;issue: 025 | |
contenttype | Fulltext |