Remote Sensing of the North American Laurentian Great Lakes’ Surface Temperature

Moukomla, Sitthisak; Blanken, Peter D.

doi:10.3390/rs8040286

Cited by 33 publications

(20 citation statements)

References 41 publications

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“…Here, we used MODIS data to estimate the Great Lakes Surface Temperature (GLST) following the scheme provided by Moukomla and Blanken [18]. Pixel-based GLST under all sky conditions was created by merging skin temperature derived from MODIS Land Surface Temperature (MOD11L2) and MODIS Cloud product (MOD06L2) from 6 July 2001 to 31 December 2014.…”

Section: Satellite Remote Sensing Datamentioning

confidence: 99%

The Estimation of the North American Great Lakes Turbulent Fluxes Using Satellite Remote Sensing and MERRA Reanalysis Data

Moukomla

Blanken

2017

Remote Sensing

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Abstract:This study provides the first technique to investigate the turbulent fluxes over the Great Lakes from July 2001 to December 2014 using a combination of data from satellite remote sensing, reanalysis data sets, and direct measurements. Turbulent fluxes including latent heat flux (Q E ) and sensible heat flux (Q H ) were estimated using the bulk aerodynamic approach, then compared with the direct eddy covariance measurements from the rooftop of three lighthouses-Stannard Rock Lighthouse (SR) in Lake Superior, White Shoal Lighthouse (WS) in Lake Michigan, and Spectacle Reef Lighthouse (SP) in Lake Huron. The relationship between modeled and measured Q E and Q H were in a good statistical agreement, for Q E , R 2 varied from 0.41 (WS), 0.74 (SR), and 0.87 (SP) with RMSE of 5.68, 6.93, and 4.67 W·m −2 , respectively, while Q H , R 2 ranged from 0.002 (WS), 0.8030 (SP) and 0.94 (SR) with RMSE of 6.97, 4.39 and 4.90 W·m −2 respectively. Both monthly mean Q E and Q H were highest in January for all lakes except Lake Ontario, which was highest in early December. The turbulent fluxes then sharply drop in March and are negligible during June and July. The evaporation processes continue again in August.

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Section: Satellite Remote Sensing Datamentioning

confidence: 99%

The Estimation of the North American Great Lakes Turbulent Fluxes Using Satellite Remote Sensing and MERRA Reanalysis Data

Moukomla

Blanken

2017

Remote Sensing

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“…In this field, numerous papers concern studies on lake temperature [23][24][25][26][27]. Analyses conducted in the scope generally suggest considerable usefulness of satellite data for the knowledge of thermal conditions of lakes.…”

Section: Resultsmentioning

confidence: 99%

Applying Landsat Satellite Thermal Images in the Analysis of Polish Lake Temperatures

Ptak¹,

Choiński²,

Piekarczyk³

et al. 2017

Pol. J. Environ. Stud.

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One of the basic parameters of water ecosystems is temperature. Its value and distribution are of key importance for the course of biotic and abiotic processes occurring in rivers and lakes. The issue of correlations of thermal conditions with the above elements is discussed by various scientific disciplines [1][2][3][4]. Proper interpretation of the occurring correlations requires possibly detailed data concerning water temperature. Such information is collected in various ways, and covers, among other things, surface measurements [5] and measurements performed in deeper parts of waters [6].In the case of lakes in Poland, the history of measurements of water temperature dates back to the end of the 19th century [7]. Systematic observations of water temperature in lakes, however, commenced in the 1950s [8]. The measurements were coordinated by the State Hydrological-Meteorological Institute, which was later transformed into the Institute of Meteorology and Water Management (IMGW). Data concerning temperature refer to stationary (point) measurements of near-surface waters. The number of observation sites over the years has changed, partially due to frequent reorganisations Pol. J. Environ. Stud. Vol. 26, No. 5 (2017), 2159-2165 AbstractThis paper presents a comparative analysis of thermal images from Landsat satellites with in situ measurements of water temperature based on the example of three analysed lakes in Poland (Łebsko, Gardno, and Jamno). The coefficient of determination R 2 in the first two lakes reached a value of 0.95, and in the third case 0.87. The obtained results suggest high coherence of both of the sources. Satellite data obtained with such coherence with in situ measurements can be considered to be of high quality. The fact opens a new chapter concerning continuous monitoring of surface temperature of lakes in Poland, which can be considerably expanded in comparison to the current state (the measurement network is currently constituted by several tens of relatively large lakes). The issue addressed in the paper refers to a dynamic development trend in research based on teledetection information. So far, however, such methodology has not been used for detailed research on lakes in Poland. The availability of information on thermal conditions in reference to a possibly high number of lakes is of key importance in the context of the observed climate changes and the resulting transformation of water ecosystems. Continuous monitoring offers a basis for the development of applicative solutions, potentially reducing the effects of global warming.

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“…Considering also the large amount of available data, their markedly different bathymetries, and the fact that they span almost 6°of latitude, they represent an ideal case study to understand the spatial and temporal response to the current warming trends [37][38][39]. Referring to daily LSWT maps retrieved from satellite imagery [40] and to large-scale AT dynamics obtained by re-analysis, we performed a 'natural experiment' [41] looking at the historical dataset and separating warm and cold years. We interpreted the difference as a possible description of the effects of the future warming and analysed them to characterise the thermal behaviour of the different lakes and their LSWT spatial gradients, an original approach with respect to most studies that focused on (linear, in most cases) trends.…”

Section: Introductionmentioning

confidence: 99%

On the use of averaged indicators to assess lakes’ thermal response to changes in climatic conditions

Toffolon

Piccolroaz

Calamita

2020

Environ. Res. Lett.

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Studies on the impact of climate change in lakes have mainly focused on the average response of lake surface temperature during three summer months (July, August, September, usually termed JAS). Focusing on the Laurentian Great Lakes, we challenge this common assumption by showing that the thermal behaviour is diversified in time both among different lakes and within a single one. Deep regions experience a stronger warming concentrated in early summer, mainly due to anticipated stratification, while shallow parts respond more uniformly throughout the year. To perform such analysis, we use the difference between the five warmest and coldest years in a series of 20 years as a proxy of possible effects of climate alterations, and compare the warming of lake surface temperature with that of air temperature. In this way, based on past observations obtained from satellite images, we show how the warming is heterogeneously distributed in time and in space, and that the quantification of lakes' thermal response to climate change is chiefly influenced by the time window used in the analysis. Should we be more careful when considering averaged indicators of lake thermal response to climate change?

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Remote Sensing of the North American Laurentian Great Lakes’ Surface Temperature

Cited by 33 publications

References 41 publications

The Estimation of the North American Great Lakes Turbulent Fluxes Using Satellite Remote Sensing and MERRA Reanalysis Data

The Estimation of the North American Great Lakes Turbulent Fluxes Using Satellite Remote Sensing and MERRA Reanalysis Data

Applying Landsat Satellite Thermal Images in the Analysis of Polish Lake Temperatures

On the use of averaged indicators to assess lakes’ thermal response to changes in climatic conditions

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