Improved Ocean Surface Temperatures From Space—Comparisons With Drifting Buoys

Strong, A. E.; McClain, E. Paul

doi:10.1175/1520-0477(1984)065<0138:iostfs>2.0.co;2

Cited by 181 publications

(57 citation statements)

References 1 publication

(2 reference statements)

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“…SST was estimated in situ at 1 m depth with our conductivitytemperature-depth (CTD) sensors and more frequently from imagery collected by the advanced very high resolution radiometer (AVHRR) sensors on the NOAA 11, 12, and 14 satellites. The satellite SST were derived using the split window techniques [Walton, 1988;Strong and McClain, 1984;McClain et al, 1983]. While nonlinear algorithms developed for AVHRR data could be used, there is no conclusive evidence that these algorithms are any better than the multichannel sea surface temperature algorithms.…”

Section: Methodsmentioning

confidence: 99%

Annual cycle of primary production in the Cariaco Basin: Response to upwelling and implications for vertical export

Muller‐Karger¹,

Varela²,

Thunell³

et al. 2001

J. Geophys. Res.

155

118

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at 1225 m, with no seasonality in the proportion of vertical flux to primary production. In total, between 10 and 11 gC m -2 yr-*were delivered to the bottom sediment of Cariaco, which suggests that between 4 x l0 s and 1 x 10 6 t of C yr -• were delivered to sediments within the upwelling area of the Cariaco Basin. This represents permanent sequestration of carbon previously entrained in the North Atlantic gyre in the area of formation of SUW. Results suggests that upwelled inorganic nitrogen, rather than nitrogen fixation, is responsible for the large productivity and particulate carbon settling flux in the Cariaco Basin.

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Section: Methodsmentioning

confidence: 99%

Annual cycle of primary production in the Cariaco Basin: Response to upwelling and implications for vertical export

Muller‐Karger¹,

Varela²,

Thunell³

et al. 2001

J. Geophys. Res.

155

118

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“…Ocean temperature is measured by using thermal-infrared wavelengths, so the quantity measured is the emitted radiance, i.e., the surface temperature. Multichannel SST estimates were computed from a combination of two ambient temperature channels on the National Oceanographic and Atmospheric Administration's (NOAA's) Advanced Very High Resolution Radiometer (AVHRR) sensor and are archived in that form (9,10). These data were available in weekly composites that were resampled to 18-km global coverage [National Aeronautics and Space Ad- the data had the coarsest spatial resolution of all of the data examined.…”

Section: Datamentioning

confidence: 99%

Climate and infectious disease: Use of remote sensing for detection of Vibrio cholerae by indirect measurement

Lobitz

Beck²,

Huq³

et al. 2000

Proc. Natl. Acad. Sci. U.S.A.

384

331

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It has long been known that cholera outbreaks can be initiated when Vibrio cholerae, the bacterium that causes cholera, is present in drinking water in sufficient numbers to constitute an infective dose, if ingested by humans. Outbreaks associated with drinking or bathing in unpurified river or brackish water may directly or indirectly depend on such conditions as water temperature, nutrient concentration, and plankton production that may be favorable for growth and reproduction of the bacterium. Although these environmental parameters have routinely been measured by using water samples collected aboard research ships, the available data sets are sparse and infrequent. Furthermore, shipboard data acquisition is both expensive and time-consuming. Interpolation to regional scales can also be problematic. Although the bacterium, V. cholerae, cannot be sensed directly, remotely sensed data can be used to infer its presence. In the study reported here, satellite data were used to monitor the timing and spread of cholera. Public domain remote sensing data for the Bay of Bengal were compared directly with cholera case data collected in Bangladesh from 1992-1995. The remote sensing data included sea surface temperature and sea surface height. It was discovered that sea surface temperature shows an annual cycle similar to the cholera case data. Sea surface height may be an indicator of incursion of planktonladen water inland, e.g., tidal rivers, because it was also found to be correlated with cholera outbreaks. The extensive studies accomplished during the past 25 years, confirming the hypothesis that V. cholerae is autochthonous to the aquatic environment and is a commensal of zooplankton, i.e., copepods, when combined with the findings of the satellite data analyses, provide strong evidence that cholera epidemics are climate-linked. C holera is an acute intestinal disease caused by the bacterium Vibrio cholerae. The disease frequently strikes in the form of severe epidemics, in Bangladesh and other developing countries, that occur with a more or less annual periodicity. The seventh pandemic of cholera started in 1961 and currently affects six continents (1, 2). Cholera is one of a number of infectious diseases that appears to be influenced by climatic changes (2-4). The study reported here was undertaken to gather data needed to develop a cholera prediction model that would monitor ocean parameters, based on remote sensing (RS) data, and provide early warning of conditions associated with cholera outbreaks. Therefore, the focus of the study was on public domain data sources to determine what, if any, relationship could be detected between remotely sensed ocean parameters and cholera case data for Bangladesh. These relationships are important in model development. When such a model for Bangladesh is extended to the global scale, it can serve as an early warning system for cholera, enabling an effective deployment of resources to minimize or prevent cholera epidemics in cholera endemic regions.Ideally, to verify the sequ...

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“…So the average errors indicated for the AVHRR-SST estimates (Llewellyn-Jones et al, 1984;Strong & McClain, 1984;Lee et al, 2005;Parra et been previously reported (Gaiero et al, 2003;Gasso & Stein, 2007). Also, the ash plumes generated by the eruption of two volcanoes in the last five years (Chaitén on May 2008 and Puyehue on June 2011) affected the atmospheric conditions of the study region (Lara, 2009;Okazaki & Heki, 2012).…”

Section: Discussionmentioning

confidence: 59%

Comparison between remotely sensed sea surface temperature (AVHRR) and in situ records in San Matias Gulf, Patagonia, Argentina

Williams¹,

Zaidman²,

Glembocki³

et al. 2014

lajar

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ABSTRACT.In situ records of sea surface temperature collected between 2005 and 2009 were used to compare, for the first time, the temperature estimated by the Multichannel algorithms (MCSST) of the Advanced Very High Resolution Radiometer (AVHRR) sensors in San Matías Gulf, in the north of the Argentinean Patagonian Continental Shelf (between 40º47'-42º13'S). Match-ups between in situ records and satellite sea surface temperature (SST) were analyzed. In situ records came from fixed stations and oceanographic cruises, while satellite data came from different NOAA satellites. The fitting of temperature data to a Standard Major Axis (SMA) type II regression model indicated that a high proportion of the total variance (0.53≤ r 2 ≤0.99) was explained by this model showing a high correlation between in situ data and satellite estimations. The mean differences between satellite and in situ data for the full data set were 1.64 ± 1.49ºC. Looking separately into in situ data from different sources and day and night estimates from different NOAA satellites, the differences were between 0.30 ± 0.60°C and 2.60 ± 1.50°C. In this paper we discuss possible reasons for the above-mentioned performance of the MCSST algorithms in the study area.

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Improved Ocean Surface Temperatures From Space—Comparisons With Drifting Buoys

Cited by 181 publications

References 1 publication

Annual cycle of primary production in the Cariaco Basin: Response to upwelling and implications for vertical export

Annual cycle of primary production in the Cariaco Basin: Response to upwelling and implications for vertical export

Climate and infectious disease: Use of remote sensing for detection of Vibrio cholerae by indirect measurement

Comparison between remotely sensed sea surface temperature (AVHRR) and in situ records in San Matias Gulf, Patagonia, Argentina

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