Remote sensing of water surface temperature and heat flux over a tropical hydroelectric reservoir

Alcântara, Enner; Stech, José; Lorenzzetti, João A.; Bonnet, Marie‐Paule; Casamitjana, Xavier; Assireu, Arcilan Trevenzoli; Novo, Evlyn Márcia Leão de Moraes

doi:10.1016/j.rse.2010.06.002

Cited by 106 publications

(56 citation statements)

References 35 publications

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“…The first period, called the May campaign, is characterized by a rising flow regime, whereas the second period, called the September campaign, is characterized by a low flow regime according to Alcantara et al [29], who classified the flow regimes based on interannual climate variations. Moreover, we analyzed the annual precipitation over the Itumbiara Reservoir from 1993 to 2010 to classify the years into two groups: typical and atypical.…”

Section: Environmental Characteristicsmentioning

confidence: 99%

Performance Analysis of MODIS 500-m Spatial Resolution Products for Estimating Chlorophyll-a Concentrations in Oligo- to Meso-Trophic Waters Case Study: Itumbiara Reservoir, Brazil

et al. 2014

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Monitoring chlorophyll-a (chl-a) concentrations is important for the management of water quality, because it is a good indicator of the eutrophication level in an aquatic system. Thus, our main purpose was to develop an alternative technique to monitor chl-a in time and space through remote sensing techniques. However, one of the limitations of remote sensing is the resolution. To achieve a high temporal resolution and medium space resolution, we used the Moderate Resolution Imaging Spectroradiometer (MODIS) 500-m reflectance product, MOD09GA, and limnological parameters from the Itumbiara Reservoir. With these data, an empirical (O14a) and semi-empirical (O14b) algorithm were developed. Algorithms were cross-calibrated and validated using three datasets: one for each campaign and a third consisting of a combination of the two individual campaigns. OPEN ACCESSRemote Sens. 2014, 6 1635 Algorithm O14a produced the best validation with a root mean square error (RMSE) of 30.4%, whereas O14b produced an RMSE of 32.41% using the mixed dataset calibration. O14a was applied to MOD09GA to build a time series for the reservoir for the year of 2009. The time-series analysis revealed that there were occurrences of algal blooms in the summer that were likely related to the additional input of nutrients caused by rainfall runoff. During the winter, however, the few observed algal blooms events were related to periods of atmospheric meteorological variations that represented an enhanced external influence on the processes of mixing and stratification of the water column. Finally, the use of remote sensing techniques can be an important tool for policy makers, environmental managers and the scientific community with which to monitor water quality.

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Section: Environmental Characteristicsmentioning

confidence: 99%

Performance Analysis of MODIS 500-m Spatial Resolution Products for Estimating Chlorophyll-a Concentrations in Oligo- to Meso-Trophic Waters Case Study: Itumbiara Reservoir, Brazil

et al. 2014

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“…Bentamy et al [10] used the European Remote Sensing (ERS) satellite scatterometer on ERS-2, NASA scatterometer (NSCAT) for wind at 10 m and several Defense Meteorological Satellite Program (DMSP) radiometers (Special Sensor Microwave Imager (SSM/I)) on board the satellites F10-F14 for brightness temperature and later for surface layer air specific humidity. Alcântara et al [11] used MODIS (Moderate Resolution Imaging Spectroradiometer)-derived land-surface temperature (LST) level 2, 1-km nominal resolution data (MOD11L2, version 5) all available clear-sky from 2003 to 2008, resulting in a total of 786 daytime and 473 nighttime images to derive water surface temperature and heat fluxes over a hydroelectric reservoir in Brazil. In the Great Lakes, Schwab, Leshkevich and Muhr [12] proposed a procedure for producing daily cloud-free maps of surface water temperature based on satellite derived AVHRR (Advanced Very High Resolution Radiometer) imagery.…”

Section: Introductionmentioning

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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“…Results obtained by Alcântara et al (2010b) showed that during May and June, the differential cooling process creates a weak horizontal temperature gradient in the IHR. This weak temperature gradient between the littoral and pelagic zones is not able to generate density currents.…”

Section: Impacts Of Cold Fronts On the Differential Cooling Processmentioning

confidence: 97%

“…According to Alcântara et al (2010b), this process is mainly controlled by the solar declination and the changes in the weather conditions throughout the year. As a consequence, the heat balance between the water and the atmosphere changes, and the water column of the IHR cools.…”

Section: Increase Of Latent and Sensible Heat Loss Induced By Cold Frmentioning

confidence: 99%

Physical changes within a large tropical hydroelectric reservoir induced by wintertime cold front activity

Curtarelli

Alcântara

Rennó

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. We investigated the influence of wintertime cold front activity on the physical processes within a large tropical reservoir located in Brazil. The period chosen for this study consisted of 49 days between 28 April 2010 and 15 July 2010. This period was defined based on information from the Brazilian Center for Weather Forecasting and Climate Studies (CPTEC), data collected in situ and the interpretation of remotely sensed images. To better understand the governing processes that drive changes in the heat balance, differential cooling and mixing dynamics, a simulation was performed that utilized a three-dimensional hydrodynamic model enforced with in situ and remote sensing data. The results showed that during a cold front passage over the reservoir, the sensible and latent heat fluxes were enhanced by approximately 77 and 16 %, respectively. The reservoir's daily averaged heat loss was up to 167 % higher on the days with cold front activity than on the days without activity. The cold front passage also intensified the differential cooling process; in some cases the difference between the water temperature of the littoral and pelagic zones reached up to 8 • C. The occurrence of cold front passages impacted the diurnal mixed layer (DML), by increasing the turbulent energy input (∼ 54 %) and the DML depth (∼ 41 %). Our results indicate that the cold front events are one of the main meteorological disturbances driving the physical processes within hydroelectric reservoirs located in tropical South America during the wintertime. Hence, cold front activity over these aquatic systems has several implications for water quality and reservoir management in Brazil.

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Remote sensing of water surface temperature and heat flux over a tropical hydroelectric reservoir

Cited by 106 publications

References 35 publications

Performance Analysis of MODIS 500-m Spatial Resolution Products for Estimating Chlorophyll-a Concentrations in Oligo- to Meso-Trophic Waters Case Study: Itumbiara Reservoir, Brazil

Performance Analysis of MODIS 500-m Spatial Resolution Products for Estimating Chlorophyll-a Concentrations in Oligo- to Meso-Trophic Waters Case Study: Itumbiara Reservoir, Brazil

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

Physical changes within a large tropical hydroelectric reservoir induced by wintertime cold front activity

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