A two-channel method for retrieval of the Black Sea surface temperature from Landsat-8 measurements

Aleskerova, A. A.; Kubryakov, A. I.; Stanichny, S. V.

doi:10.1134/s0001433816090048

Cited by 17 publications

(8 citation statements)

References 6 publications

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“…Eddies of various scales also modulate the thermal structure of the upper ocean and, therefore, are well visible in remotely sensed images acquired in thermal infrared bands. This is well exemplified in a high‐resolution Landsat‐8 sea surface temperature map produced using the algorithm from (Aleskerova et al, ) and showing generation of numerous small‐to‐mesoscale eddies over the unstable Alaskan Coastal Current jet before passing Point Barrow (Figure b). However, such data are very rare due to intensive cloud cover in the Arctic Ocean.…”

Section: Introductionmentioning

confidence: 63%

Eddies in the Western Arctic Ocean From Spaceborne SAR Observations Over Open Ocean and Marginal Ice Zones

et al. 2019

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The Western Arctic Ocean is a host to major ocean circulation systems, many of which generate eddies that can transport water masses and corresponding tracers over long distances from their formation sites. However, comprehensive observations of critical eddy characteristics are currently not available and are limited to spatially and temporally sparse in situ observations. Here we use high-resolution spaceborne synthetic aperture radar measurements to detect eddies from their surface imprints in ice-free sea surface roughness, and in sea ice patterns throughout marginal ice zones. We provide the first estimate of eddy characteristics extending over the seasonally ice-free and marginal ice zone regions of the Western Arctic Ocean, including their locations, diameters, and monthly distribution. Using available synthetic aperture radar data, we identified over 4,000 open ocean eddies, as well as over 3,500 eddies in marginal ice zones from June to October in 2007, 2011, and 2016. Eddies range in size between 0.5 and 100 km and are frequently found over the shelf and near continental slopes but also present in the deep Canada Basin and over the Chukchi Plateau. We find that cyclonic eddies are twice more frequent compared to anticyclonic eddies at the surface, distinct from the dominating anticyclonic eddies observed at depth by in situ moorings and ice-tethered profilers. Our study supports the notion that eddies are ubiquitous in the Western Arctic Ocean even in the presence of sea ice and emphasizes the need for improved ocean observations and modeling at eddy scales. Plain Language SummaryOcean eddies play an important role in the transport of heat, salt, and pollutants over long distances from their formation sites. However, their observations in the Arctic Ocean are complex due to severe weather and sea ice cover. Here we present results of high-resolution satellite observations over the ice-free ocean and in the marginal ice zones. Detailed eddy characteristics are for the first time presented for the Western Arctic Ocean. These results provide observational evidence that eddies are ubiquitous in this Arctic region even in the presence of sea ice and emphasize the need for improved ocean observations and modeling at eddy scales. Key Points: • First account of eddies in the Western Arctic Ocean is presented based on satellite observations over open ocean and marginal ice zones • Eddies range in size between 0.5 and 100 km and are ubiquitous over deep and shelf regions of the Western Arctic Ocean • Cyclonic eddies are twice more frequent compared to anticyclones

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Section: Introductionmentioning

confidence: 63%

Eddies in the Western Arctic Ocean From Spaceborne SAR Observations Over Open Ocean and Marginal Ice Zones

et al. 2019

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“…Most of the previous studies have not considered the effect of SZAs in the estimation of SST errors for the Landsat data. Even studies on land surface temperature retrieval and SST retrieval have neglected SZAs under the assumption of nadir observation for all the pixels [50][51][52][53][54][55]80]. In this study, in order to analyze the effect of the SZA on the SST accuracy, we classified into the two cases, including considering and neglecting the SZA-related terms both in the MCSST and the NLSST formulations in Table 2.…”

Section: Sst Retrieval Algorithmsmentioning

confidence: 99%

“…Most of the wide-scanning sensors such as the NOAA/AVHRR with a swath angle of 55 degrees in both sides have considered the effect of the SZA [25]. Since the Landsat sensors have very narrow viewing angles from -8.4 degrees to the left and 8.4 degrees to the right based on the satellite orbit path, the effect of viewing angle has been neglected in the SST retrieval procedures for a long time [46,[51][52][53][54]. However, the accuracy assessment of this study showed that the algorithms including the SZA term estimated SST with better performance.…”

Section: Effect Of Szamentioning

confidence: 99%

High-Resolution Sea Surface Temperature Retrieval from Landsat 8 OLI/TIRS Data at Coastal Regions

Jang

Park

2019

Remote Sensing

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High-resolution sea surface temperature (SST) images are essential to study the highly variable small-scale oceanic phenomena in a coastal region. Most previous SST algorithms are focused on the low or medium resolution SST from the near polar orbiting or geostationary satellites. The Landsat 8 Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) makes it possible to obtain high-resolution SST images of coastal regions. This study performed a matchup procedure between 276 Landsat 8 images and in-situ temperature measurements of buoys off the coast of the Korean Peninsula from April 2013 to August 2017. Using the matchup database, we investigated SST errors for each formulation of the Multi-Channel SST (MCSST) and the Non-Linear SST (NLSST) by considering the satellite zenith angle (SZA) and the first-guess SST. The retrieved SST equations showed a root-mean-square error (RMSE) from 0.59 to 0.72 °C. The smallest errors were found for the NLSST equation that considers the SZA and uses the first-guess SST, compared with the MCSST equations. The SST errors showed characteristic dependences on the atmospheric water vapor, the SZA, and the wind speed. In spite of the narrow swath width of the Landsat 8, the effect of the SZA on the errors was estimated to be significant and considerable for all the formations. Although the coefficients were calculated in the coastal regions around the Korean Peninsula, these coefficients are expected to be feasible for SST retrieval applied to any other parts of the global ocean. This study also addressed the need for high-resolution coastal SST, by emphasizing the usefulness of the high-resolution Landsat 8 OLI/TIRS data for monitoring the small-scale oceanic phenomena in coastal regions.

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“…Образующееся в результате разрушения клифов и взмучивания донных наносов ВВ является хорошим индикатором динамики вод, позволяющим РАСПРЕДЕЛЕНИЕ ВЗВЕШЕННОГО ВЕЩЕСТВА У ЗАПАДНОГО ПОБЕРЕЖЬЯ КРЫМА отслеживать их спутниковыми оптическими измерениями (Кременчуцкий и др., 2015). Спутниковые данные ранее позволили получить большое количество информации о вихревой динамике в Черном море, ее роли в горизонтальном обмене веществом, влиянии на термические характеристики бассейна (Sur et al, 1996;Ginzburg et al, 2000Ginzburg et al, , 2002Karimova, 2012;Kubryakov et al, 2016Kubryakov et al, , 2018etc). Однако вышеперечисленные исследования в основном были посвящены изучению крупномасштабных и синоптических процессов во всем Черном море.…”

Section: использование космическойunclassified

“…Прибор TIRS спутника Landsat-8 делает измерения в двух каналах в дальнем ИК-диапазоне, что позволяет провести атмосферную коррекцию измерений и восстановить реальную SST. Такой алгоритм для Черного моря был разработан на основе сопоставления с калиброванными данными сканера MODIS (Aleskerova et al, 2016).…”

Section: использованные данныеunclassified

Distribution of suspended matter off the western coast of the crimea under impact of the strong winds of various directions

Aleskerova

Kubryakov

Кубряков³

et al. 2019

Исследования Земли из Космоса

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The mechanisms of formation and distribution of total suspended matter (tsm) off the West Coast of Crimea under the influence of strong winds of various directions were investigated on the base of satellite data of medium and high resolution. The maximum tsm reaching the values of 200 mg / l was is observed during strong southern winds. In this case, the zone of high tsm is located at the western shelf of the Crimea limited by a 50 m isobath. The wave impact on resuspension of bottom sediments and the erosion of clay cliffs located on the west coast of Crimea lead to the formation of a large amount of tsm. After the storm, a northern alongshore current transfers tsm to the north. During northeast winds, the highest tsm are observed not near the coast, but in the seaward part of the shelf between 30 and 50 m isobaths. It is likely that turbulent mixing during such winds resuspense bottom sediments in shallow areas, which are further transported from the coast due to the offshore winds. The wind surge in this case leads to the formation of a band of clean cold water near the coast. A specific feature of the action of the northern and northwestern storms is the formation of a longshore jet stream along the western coast. The current occurs at the front of the upwelling zone. The stream transports the suspended matter offshore southward. The concentration of the suspended matter in this case is also much lower than when exposed to the southern winds, but it can reach a value of 3 mg/l.

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A two-channel method for retrieval of the Black Sea surface temperature from Landsat-8 measurements

Cited by 17 publications

References 6 publications

Eddies in the Western Arctic Ocean From Spaceborne SAR Observations Over Open Ocean and Marginal Ice Zones

Eddies in the Western Arctic Ocean From Spaceborne SAR Observations Over Open Ocean and Marginal Ice Zones

High-Resolution Sea Surface Temperature Retrieval from Landsat 8 OLI/TIRS Data at Coastal Regions

Distribution of suspended matter off the western coast of the crimea under impact of the strong winds of various directions

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