A multi-scale high-resolution analysis of global sea surface temperature

Chin, T. M.; Vázquez-Cuervo, Jorge; Armstrong, E. M.

doi:10.1016/j.rse.2017.07.029

Cited by 280 publications

(219 citation statements)

References 53 publications

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“…Figure shows power spectra for the Gulf Stream region in JFM 2017, for OSTIA analyses and other selected L4 (daily, global, gridded) SST analyses produced by various centres: Canadian Meteorological Center 0.1° (CMC: Brasnett, ; Brasnett and Surcel Colan, ), Multi‐scale Ultra‐high Resolution SST (MUR: Chin et al ., ) and Geo‐Polar SST analysis (Maturi et al ., ). MUR and Geo‐Polar SST were selected as they both include methods to specifically target the analysis feature resolution capability, and CMC is included as it validates very well in the GHRSST (Group for High Resolution SST) Multi‐Product Ensemble (GMPE) system (Martin et al ., ; Fiedler et al ., ).…”

Section: Resultsmentioning

confidence: 99%

“…NEMOVAR OSTIA and Global 1 km SST (G1SST: Chao et al, 2009) are the only SST analysis systems to use a variational data assimilation scheme. Several datasets include a multi-scale assimilation method to retain small-scale features, including the Geo-Polar SST analysis (Maturi et al, 2017) and the Multi-scale Ultra-high Resolution SST analysis (MUR: Chin et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Improvements to feature resolution in the OSTIA sea surface temperature analysis using the NEMOVAR assimilation scheme

Fiedler

Mao

Good

et al. 2019

Quart J Royal Meteoro Soc

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The data assimilation scheme used in the Met Office's Operational Sea Surface Temperature and Ice Analysis (OSTIA) system has been updated from an Optimal Interpolation (OI)‐type scheme to a variational assimilation scheme. The updated system includes a dual length‐scale background error correlation operator, and a flow‐dependent component to adjust the length‐scale combination in favour of the short scale in regions of high sea surface temperature (SST) variability. The variational assimilation scheme improves both the analysis performance and the representation of SST features in the OSTIA analysis compared to the OI scheme of the original system. The results of spectral analysis, assessment of horizontal SST gradients and the response of an atmospheric model to the OSTIA SST analysis as a boundary condition indicate that the flow‐dependent formulation successfully contributes to improvements in the feature resolution capability of the analysis. Overall, using a short length‐scale of 15 km and including a flow‐dependent adjustment component produces the best results compared to using either 40 km or the first Rossby radius of deformation as the short length‐scale. The new system successfully captures realistic ocean variability without introducing noise into the analysis, allowing the feature resolution capability of the new system to out‐perform that of other comparable SST analysis products.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improvements to feature resolution in the OSTIA sea surface temperature analysis using the NEMOVAR assimilation scheme

Fiedler

Mao

Good

et al. 2019

Quart J Royal Meteoro Soc

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“…NASA Jet Propulsion Laboratory produces the global, daily, 1 km, multiscale ultra‐high resolution, motion‐compensated analysis of SST (MUR SST) version 4.0 [ Chin et al ., ]. This high temporal and spatial resolution analysis incorporates SSTs from eight satellites, using both infrared and passive microwave retrievals, and in situ data.…”

Section: Methodsmentioning

confidence: 99%

Satellite sea surface temperatures along the West Coast of the United States during the 2014–2016 northeast Pacific marine heat wave

Gentemann

Fewings

García‐Reyes

2017

Geophysical Research Letters

253

188

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From January 2014 to August 2016, sea surface temperatures (SSTs) along the Washington, Oregon, and California coasts were significantly warmer than usual, reaching a maximum SST anomaly of 6.2°C off Southern California. This marine heat wave occurred alongside the Gulf of Alaska marine heat wave and resulted in major disturbances in the California Current ecosystem and massive economic impacts. Here we use satellite and blended reanalysis products to report the magnitude, extent, duration, and evolution of SSTs and wind stress anomalies along the West Coast of the continental United States during this event. Nearshore SST anomalies along the entire coast were persistent during the marine heat wave, and only abated seasonally, during spring upwelling‐favorable wind stress. The coastal marine heat wave weakened in July 2016 and disappeared by September 2016.

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“…The MUR data provide daily global SST at a spatial resolution of 0.01 • × 0.01 • (∼1 km × 1 km) by merging data from the Advanced Very High Resolution Radiometer (AVHRR), the Moderate Resolution Imaging Spectroradiometer (MODIS), and the Advanced Microwave Spectroradiometer-Earth observing system (AMSR-E). The merging is done by using an objective interpolation technique based on a wavelet decomposition to process each data set with respect to its inherent resolution [16], [17]. By merging different satellite products, the MUR data set takes advantage of the very high spatial resolution of infrared satellites (AVHRR and MODIS) and the better weather-tolerating microwave satellite (AMSR-E) to produce a 1-km very high resolution data (http://podaac.jpl.nasa.gov/dataset/JPL-L4UHfnd-GLOB-MUR?ids=&values=).…”

Section: Methodsmentioning

confidence: 99%

Satellite Observations of Upwelling in the Gulf of Guinea

Wiafe

Nyadjro

2015

IEEE Geosci. Remote Sensing Lett.

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The classical case of favorable winds driving coastal upwelling does not adequately account for the upwelling observed along the northwestern Gulf of Guinea (GoG) coast, which is the area of focus in this letter. Herein, we used mainly satellite-derived data to examine the dynamics of upwelling in the study area. Upwelling indexes are derived from sea surface temperature (SST) and wind influences. Low SST, which is a characteristic of upwelling, is observed mainly along the entire coastal region from July to September. The relative contributions of local wind forcing are quantified; the wind-stress-driven Ekman transport was more important than the wind-stress-curl-driven Ekman pumping in affecting changes in SST. They both however do not entirely explain the upwelling that is observed along the entire coast. It is shown that winds in the western equatorial Atlantic force eastward propagating upwelling Kelvin waves that lead to lowering of sea level and SST along the northwestern GoG coast.

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A multi-scale high-resolution analysis of global sea surface temperature

Cited by 280 publications

References 53 publications

Improvements to feature resolution in the OSTIA sea surface temperature analysis using the NEMOVAR assimilation scheme

Improvements to feature resolution in the OSTIA sea surface temperature analysis using the NEMOVAR assimilation scheme

Satellite sea surface temperatures along the West Coast of the United States during the 2014–2016 northeast Pacific marine heat wave

Satellite Observations of Upwelling in the Gulf of Guinea

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