Group for High Resolution Sea Surface temperature (GHRSST) analysis fields inter-comparisons. Part 1: A GHRSST multi-product ensemble (GMPE)

Martin, Matthew J.; Dash, Prasanjit; Ignatov, Alexander; Banzon, Viva F.; Beggs, Helen; Brasnett, Bruce; Cayula, Jean-François; Cummings, James; Donlon, Craig; Gentemann, Chelle; Grumbine, Robert; Ishizaki, Shiro; Maturi, Eileen; Reynolds, Richard W.; Roberts‐Jones, Jonah

doi:10.1016/j.dsr2.2012.04.013

Cited by 153 publications

(145 citation statements)

References 23 publications

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“…The data products use both in situ and satellite data to obtain SST covering all the ocean basins on earth. (Note that the cause of differences in SST is not the focus of this study; readers are referred to [28][29][30][31]39,40] for more information on blended analysis SST fields. )…”

Section: Development Of a Linear V Max Model And Its Validation Againmentioning

confidence: 99%

“…The satellite SSTs ingested are the Advanced Very High Resolution Radiometer (AVHRR) infrared retrievals onboard NOAA -11 through -19 polar-orbiters, with only one platform used at a time and the data are anchored to in situ drifters (approximating a bulk depth of~20 cm). It is worth mentioning that in recent years, a substantial effort has been invested to generate blended satellite SSTs from multiple platforms, many of which also ingest in situ data in their optimal interpolation scheme [39,40]. We have chosen OISST.V2 because of its extended range going back in time.…”

Section: Reanalysis Datamentioning

confidence: 99%

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Towards Dependence of Tropical Cyclone Intensity on Sea Surface Temperature and Its Response in a Warming World

Arora

Dash

2016

Climate

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Tropical Cyclone (TC) systems affect global ocean heat transport due to mixing of the upper ocean and impact climate dynamics. A higher Sea Surface Temperature (SST), other influencing factors remaining supportive, fuels TC genesis and intensification. The atmospheric thermodynamic profile, especially the sea-air temperature contrast (SAT), also contributes due to heat transfer and affects TC's maximum surface wind speed (V max ) explained by enthalpy exchange processes. Studies have shown that SST can approximately be used as a proxy for SAT. As a part of an ongoing effort in this work, we simplistically explored the connection between SST and V max from a climatological perspective. Subsequently, estimated V max is applied to compute Power Dissipation Index (an upper limit on TC's destructive potential). The model is developed using long-term observational SST reconstructions employed on three independent SST datasets and validated against an established model. This simple approach excluded physical parameters, such as mixing ratio and atmospheric profile, however, renders it generally suitable to compute potential intensity associated with TCs spatially and weakly temporally and performs well for stronger storms. A futuristic prediction by the HadCM3 climate model under doubled CO 2 indicates stronger storm surface wind speeds and rising SST, especially in the Northern Hemisphere.

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Section: Development Of a Linear V Max Model And Its Validation Againmentioning

confidence: 99%

Section: Reanalysis Datamentioning

confidence: 99%

Towards Dependence of Tropical Cyclone Intensity on Sea Surface Temperature and Its Response in a Warming World

Arora

Dash

2016

Climate

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“…Surface Temperature (GHRSST, www.ghrsst.org) provides new generation global high-resolution SST products [Martin et al, 2012]. The chosen product 182 …”

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confidence: 99%

Shelf response to intense offshore wind

2015

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Cross and along‐shelf winds drive cross‐shelf transport that promotes the exchange of tracers and nutrients to the open sea. The shelf response to cross‐shelf winds is studied in the north shelf of the Ebro Delta (Mediterranean Sea), where those winds are prevalent and intense. Offshore winds in the region exhibit strong intensities (wind stress larger than 0.8 Pa) during winter and fall. The monthly average flow observed in a 1 year current meter record at 43.5 m was polarized following the isobaths with the along‐shelf variability being larger than the cross‐shelf. Prevalent southwestward along‐shelf flow was induced by the three‐dimensional regional response to cross‐shelf winds and the coastal constraint. Seaward near‐surface velocities occurred predominantly during offshore wind events. During intense wind periods, the surface cross‐shelf water transport exceeded the net along‐shelf transport. During typically stratified seasons, the intense cross‐shelf winds resulted in a well‐defined two‐layer flow and were more effective at driving offshore transport than during unstratified conditions. While transfer coefficients between wind and currents were generally around 1%, higher cross‐shelf transfer coefficients were observed in the near‐inertial band. The regional extent of the resulting surface cold water during energetic cross‐shelf winds events was concentrated around the region of the wind jet. Cross‐shelf transport due to along‐shelf winds was only effective during northeast wind events. During along‐shelf wind conditions, the transport was estimated to be between 10 and 50% of the theoretical Ekman transport.

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“…(R , who have developed over several years a system including these elements for SST by sharing tasks multi-laterally across several agencies (Donlon et al, 2009;Martin et al, 2012;Dash et al, 2012). This proposal therefore applies to datasets other than SST.…”

Section: Recommendation 4: Make Surface Temperature Datasets Easier Tmentioning

confidence: 99%

The surface temperatures of Earth: steps towards integrated understanding of variability and change

Merchant

Matthiesen

Rayner

et al. 2013

Geosci. Instrum. Method. Data Syst.

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Abstract. Surface temperature is a key aspect of weather and climate, but the term may refer to different quantities that play interconnected roles and are observed by different means. In a community-based activity in June 2012, the EarthTemp Network brought together 55 researchers from five continents to improve the interaction between scientific communities who focus on surface temperature in particular domains, to exploit the strengths of different observing systems and to better meet the needs of different communities. The workshop identified key needs for progress towards meeting scientific and societal requirements for surface temperature understanding and information, which are presented in this community paper. A "whole-Earth" perspective is required with more integrated, collaborative approaches to observing and understanding Earth's various surface temperatures. It is necessary to build understanding of the relationships between different surface temperatures, where presently inadequate, and undertake large-scale systematic intercomparisons. Datasets need to be easier to obtain and exploit for a wide constituency of users, with the differences and complementarities communicated in readily understood terms, and realistic and consistent uncertainty information provided. Steps were also recommended to curate and make available data that are presently inaccessible, develop new observing systems and build capacities to accelerate progress in the accuracy and usability of surface temperature datasets.

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Group for High Resolution Sea Surface temperature (GHRSST) analysis fields inter-comparisons. Part 1: A GHRSST multi-product ensemble (GMPE)

Cited by 153 publications

References 23 publications

Towards Dependence of Tropical Cyclone Intensity on Sea Surface Temperature and Its Response in a Warming World

Towards Dependence of Tropical Cyclone Intensity on Sea Surface Temperature and Its Response in a Warming World

Shelf response to intense offshore wind

The surface temperatures of Earth: steps towards integrated understanding of variability and change

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