Intercomparison of High‐Resolution SST Climatologies Over the Australian Region

Hu, Yuwei; Beggs, Helen; Wang, Xiaohua

doi:10.1029/2021jc017221

Cited by 5 publications

(5 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Indeed, global real-time products such as SST, altimetryderived ocean currents, and modelled wave profiles are widely available and utilised to study large-scale trends across marine systems or as a substitute for in situ measurements when these are unavailable. However, the geographical resolution of satellitebased products is often coarse (one to tens of kilometres), and sea surface temperature products typically have longer temporal resolution than in situ loggers (Hu et al, 2021). In addition, there is often a disconnect between satellite microwave-based "skin" temperatures and actual water temperatures observed across several to tens of metres below the surface, due to the presence of vertical gradients and stratification (Pan et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Remote reef cryptobenthic diversity: Integrating autonomous reef monitoring structures and in situ environmental parameters

Steyaert

Lindhart²,

Khrizman³

et al. 2022

Front. Mar. Sci.

View full text Add to dashboard Cite

Coral reef sessile organisms inhabiting cryptic spaces and cavities of the reef matrix perform vital and varied functional roles but are often understudied in comparison to those on exposed surfaces. Here, we assess the composition of cryptobenthic taxa from three remote tropical reef sites (Central Indian Ocean) alongside a suite of in situ environmental parameters to determine if, or how, significant patterns of diversity are shaped by local abiotic factors. To achieve this, we carried out a point-count analysis of autonomous reef monitoring structure (ARMS) plate images and employed in situ instrumentation to recover long-term (12 months) profiles of flow velocity, wave heights, temperature, dissolved oxygen, and salinity, and short-term (3 weeks) profiles of light and pH. We recovered distinct environmental profiles between sampling sites and observed that ocean-facing reefs experienced frequent but short-lived cooling internal wave events and that these were key in shaping in situ temperature variability. By comparing temperature and wave height profiles recovered using in situ loggers with ex situ models, we discovered that global satellite products either failed to recover site-specific profiles or both over- and underestimated actual in situ conditions. We found that site choice and recruitment plate face (top or bottom) significantly impacted the percentage cover of bryozoans, gastropods, soft and calcified tube worms, as well as crustose coralline algae (CCA) and fleshy red, brown, and green encrusting macroalgae on ARMS. We observed significant correlations between the abundance of bryozoans, CCA, and colonial tunicates with lower mean temperature and higher mean dissolved oxygen profiles observed across sites. Red and brown encrusting macroalgae abundance correlated significantly with medium-to-high flow velocities and wave height profiles, as well as higher pH and dissolved oxygen. This study provides the first insight into cryptobenthic communities in the Chagos Archipelago marine-protected area and adds to our limited understanding of tropical reef sessile communities and their associations with environmental parameters in this region. With climate change accelerating the decline of reef ecosystems, integrating analyses of cryptobenthic organisms and in situ physicochemical factors are needed to understand how reef communities, if any, may withstand the impacts of climate change.

show abstract

Section: Introductionmentioning

confidence: 99%

Remote reef cryptobenthic diversity: Integrating autonomous reef monitoring structures and in situ environmental parameters

Steyaert

Lindhart²,

Khrizman³

et al. 2022

Front. Mar. Sci.

View full text Add to dashboard Cite

show abstract

“…The new real-time Multi-sensor L3S SST products are providing better input for applications, such as ReefTemp NextGen Coral Bleaching Nowcasting and IMOS OceanCurrent, due to their enhanced spatial coverage (Figure 5) and accuracy (Figure 6). These SST products are, therefore, useful for monitoring coral thermal stress, Marine Heat Waves (e.g., [17]), coastal upwelling [50] and climate trends over Australasian waters. As a case study, we compared Multi-sensor L3S with NOAA's GPB L4 analysis SST data for the period 1 January 2017 to 31 December 2018.…”

Section: Discussionmentioning

confidence: 99%

“…imos.org.au, accessed on 30 June 2022) back to 1 January 2018. The Multi-sensor L3S SST products are useful for monitoring Marine Heat Waves [17], coastal upwelling [50] and climate trends over Australasian waters.…”

Section: Imos Multi-sensor L3s Sstsmentioning

confidence: 99%

“…These new "Multi-sensor Level 3 Super-Collated (L3S)" SST composites [12,16] cover the same Australian and Southern Ocean domains as the legacy AVHRR L3S composites became publicly available in real-time and delayed mode on 16th November 2018 and, from that time, replaced the AVHRR-only L3S SST composites as inputs into IMOS OceanCurrent and BoM ReefTemp Next-Generation Coral Bleaching Risk service. They have also contributed to research into Marine Heat Waves [17] and the oceanic drift of kelp [18] and have been incorporated into a valuable multi-decadal ocean temperature near-coastal time series [19]. The improvement in spatial coverage and accuracy afforded by the addition of sensors has enhanced the usefulness of the IMOS L3S SST composites and encouraged user uptake.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Sensor Sea Surface Temperature Products from the Australian Bureau of Meteorology

2022

Self Cite

View full text Add to dashboard Cite

Sea surface temperature (SST) products that can resolve fine scale features, such as sub-mesoscale eddies, ocean fronts and coastal upwelling, are increasingly in demand. In response to user requirements for gap-free, highest spatial resolution, best quality and highest accuracy SST data, the Australian Bureau of Meteorology (BoM) produces operational, real-time Multi-sensor SST level 3 products by compositing SST from Advanced Very-High-Resolution Radiometer (AVHRR) sensors on Meteorological Operational satellite (MetOp)-B and National Oceanic and Atmospheric Administration (NOAA) 18, along with SST from Visible Infrared Imaging Radiometer Suite (VIIRS) sensors on the Suomi National Polar-orbiting Partnership (Suomi NPP) and NOAA 20 polar-orbiting satellites for the Australian Integrated Marine Observing System (IMOS) project. Here we discuss our method to combine data from different sensors and present validation of the satellite-derived SST against in situ SST data. The Multi-sensor Level 3 Super Collated (L3S) SSTs exhibit significantly greater spatial coverage and improved accuracy compared with the pre-existing IMOS AVHRR-only L3S SSTs. When compared to the Geo Polar Blended level 4 analysis SST data over the Great Barrier Reef, Multi-sensor L3S SST differs by less than 1 ∘C while exhibiting a wider range of SSTs over the region. It shows more variability and restores small-scale features better than the Geo Polar Blended level 4 analysis SST data. The operational Multi-sensor L3S SST products are used as input for applications such as IMOS OceanCurrent and the BoM ReefTemp Next-Generation Coral Bleaching Nowcasting service and provide useful insight into the study of marine heatwaves and ocean upwelling in near-coastal regions.

show abstract

“…We evaluate local and biogeographic long-term trends in biomimetic temperatures, henceforth referred to as ‘organismal climatologies’ ( Helmuth et al., 2010 ), using analysis of simple trends and compare these to patterns revealed using air temperature. Notably, we use the term climatology to refer to temporal trends in a specific parameter and argue that just as there are climatologies for environmental parameters such as air temperature ( Wang et al., 2020a ), surface winds ( Laurila et al., 2021 ), or sea surface temperature ( Hu et al., 2021 ), the exploration of climatologies of a species’ body temperature can lend insights into how climate change affects organism physiology.…”

Section: Introductionmentioning

confidence: 99%

Physiologically informed organismal climatologies reveal unexpected spatiotemporal trends in temperature

Foulk,

Gouhier,

Choi

et al. 2024

Conservation Physiology

View full text Add to dashboard Cite

Body temperature is universally recognized as a dominant driver of biological performance. Although the critical distinction between the temperature of an organism and its surrounding habitat has long been recognized, it remains common practice to assume that trends in air temperature—collected via remote sensing or weather stations—are diagnostic of trends in animal temperature and thus of spatiotemporal patterns of physiological stress and mortality risk. Here, by analysing long-term trends recorded by biomimetic temperature sensors designed to emulate intertidal mussel temperature across the US Pacific Coast, we show that trends in maximal organismal temperature (‘organismal climatologies’) during aerial exposure can differ substantially from those exhibited by co-located environmental data products. Specifically, using linear regression to compare maximal organismal and environmental (air temperature) climatologies, we show that not only are the magnitudes of body and air temperature markedly different, as expected, but so are their temporal trends at both local and biogeographic scales, with some sites showing significant decadal-scale increases in organismal temperature despite reductions in air temperature, or vice versa. The idiosyncratic relationship between the spatiotemporal patterns of organismal and air temperatures suggests that environmental climatology cannot be statistically corrected to serve as an accurate proxy for organismal climatology. Finally, using quantile regression, we show that spatiotemporal trends vary across the distribution of organismal temperature, with extremes shifting in different directions and at different rates than average metrics. Overall, our results highlight the importance of quantifying changes in the entire distribution of temperature to better predict biological performance and dispel the notion that raw or ‘corrected’ environmental (and specially air temperature) climatologies can be used to predict organismal temperature trends. Hence, despite their widespread coverage and availability, the severe limitations of environmental climatologies suggest that their role in conservation and management policy should be carefully considered.

show abstract

Intercomparison of High‐Resolution SST Climatologies Over the Australian Region

Cited by 5 publications

References 44 publications

Remote reef cryptobenthic diversity: Integrating autonomous reef monitoring structures and in situ environmental parameters

Remote reef cryptobenthic diversity: Integrating autonomous reef monitoring structures and in situ environmental parameters

Multi-Sensor Sea Surface Temperature Products from the Australian Bureau of Meteorology

Physiologically informed organismal climatologies reveal unexpected spatiotemporal trends in temperature

Contact Info

Product

Resources

About