A coastal seawater temperature dataset for biogeographical studies: large biases between in situ and remotely-sensed data sets around the Coast of South Africa

 

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dc.contributor.author Smit, Albertus J en_ZA
dc.contributor.author Roberts, Michael en_ZA
dc.contributor.author Anderson, Robert J en_ZA
dc.contributor.author Dufois, Francois en_ZA
dc.contributor.author Dudley, Sheldon F J en_ZA
dc.contributor.author Bornman, Thomas G en_ZA
dc.contributor.author Olbers, Jennifer en_ZA
dc.contributor.author Bolton, John J en_ZA
dc.date.accessioned 2015-11-16T04:11:35Z
dc.date.available 2015-11-16T04:11:35Z
dc.date.issued 2013 en_ZA
dc.identifier.citation Smit, A. J., Roberts, M., Anderson, R. J., Dufois, F., Dudley, S. F., Bornman, T. G., ... & Bolton, J. J. (2012). A coastal seawater temperature dataset for biogeographical studies: large biases between in situ and remotely-sensed data sets around the Coast of South Africa. PloS one, 8(12), e81944-e81944. doi:10.1371/journal.pone.0081944 en_ZA
dc.identifier.uri http://hdl.handle.net/11427/15023
dc.identifier.uri http://dx.doi.org/10.1371/journal.pone.0081944
dc.description.abstract Gridded SST products developed particularly for offshore regions are increasingly being applied close to the coast for biogeographical applications. The purpose of this paper is to demonstrate the dangers of doing so through a comparison of reprocessed MODIS Terra and Pathfinder v5.2 SSTs, both at 4 km resolution, with instrumental in situ temperatures taken within 400 m from the coast. We report large biases of up to +6°C in places between satellite-derived and in situ climatological temperatures for 87 sites spanning the entire ca . 2 700 km of the South African coastline. Although biases are predominantly warm (i.e. the satellite SSTs being higher), smaller or even cold biases also appear in places, especially along the southern and western coasts of the country. We also demonstrate the presence of gradients in temperature biases along shore-normal transects -- generally SSTs extracted close to the shore demonstrate a smaller bias with respect to the in situ temperatures. Contributing towards the magnitude of the biases are factors such as SST data source, proximity to the shore, the presence/absence of upwelling cells or coastal embayments. Despite the generally large biases, from a biogeographical perspective, species distribution retains a correlative relationship with underlying spatial patterns in SST, but in order to arrive at a causal understanding of the determinants of biogeographical patterns we suggest that in shallow, inshore marine habitats, temperature is best measured directly. en_ZA
dc.language.iso eng en_ZA
dc.publisher Public Library of Science en_ZA
dc.rights This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. en_ZA
dc.rights.uri http://creativecommons.org/licenses/by/4.0 en_ZA
dc.source PLoS One en_ZA
dc.source.uri http://journals.plos.org/plosone en_ZA
dc.subject.other Biogeography en_ZA
dc.subject.other Climatology en_ZA
dc.subject.other Marine biology en_ZA
dc.title A coastal seawater temperature dataset for biogeographical studies: large biases between in situ and remotely-sensed data sets around the Coast of South Africa en_ZA
dc.type Journal Article en_ZA
dc.rights.holder © 2013 Smit et al en_ZA
uct.type.publication Research en_ZA
uct.type.resource Article en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Marine Research (MA-RE) Institute en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Smit, A. J., Roberts, M., Anderson, R. J., Dufois, F., Dudley, S. F. J., Bornman, T. G., ... Bolton, J. J. (2013). A coastal seawater temperature dataset for biogeographical studies: large biases between in situ and remotely-sensed data sets around the Coast of South Africa. <i>PLoS One</i>, http://hdl.handle.net/11427/15023 en_ZA
dc.identifier.chicagocitation Smit, Albertus J, Michael Roberts, Robert J Anderson, Francois Dufois, Sheldon F J Dudley, Thomas G Bornman, Jennifer Olbers, and John J Bolton "A coastal seawater temperature dataset for biogeographical studies: large biases between in situ and remotely-sensed data sets around the Coast of South Africa." <i>PLoS One</i> (2013) http://hdl.handle.net/11427/15023 en_ZA
dc.identifier.vancouvercitation Smit AJ, Roberts M, Anderson RJ, Dufois F, Dudley SFJ, Bornman TG, et al. A coastal seawater temperature dataset for biogeographical studies: large biases between in situ and remotely-sensed data sets around the Coast of South Africa. PLoS One. 2013; http://hdl.handle.net/11427/15023. en_ZA
dc.identifier.ris TY - Journal Article AU - Smit, Albertus J AU - Roberts, Michael AU - Anderson, Robert J AU - Dufois, Francois AU - Dudley, Sheldon F J AU - Bornman, Thomas G AU - Olbers, Jennifer AU - Bolton, John J AB - Gridded SST products developed particularly for offshore regions are increasingly being applied close to the coast for biogeographical applications. The purpose of this paper is to demonstrate the dangers of doing so through a comparison of reprocessed MODIS Terra and Pathfinder v5.2 SSTs, both at 4 km resolution, with instrumental in situ temperatures taken within 400 m from the coast. We report large biases of up to +6°C in places between satellite-derived and in situ climatological temperatures for 87 sites spanning the entire ca . 2 700 km of the South African coastline. Although biases are predominantly warm (i.e. the satellite SSTs being higher), smaller or even cold biases also appear in places, especially along the southern and western coasts of the country. We also demonstrate the presence of gradients in temperature biases along shore-normal transects -- generally SSTs extracted close to the shore demonstrate a smaller bias with respect to the in situ temperatures. Contributing towards the magnitude of the biases are factors such as SST data source, proximity to the shore, the presence/absence of upwelling cells or coastal embayments. Despite the generally large biases, from a biogeographical perspective, species distribution retains a correlative relationship with underlying spatial patterns in SST, but in order to arrive at a causal understanding of the determinants of biogeographical patterns we suggest that in shallow, inshore marine habitats, temperature is best measured directly. DA - 2013 DB - OpenUCT DO - 10.1371/journal.pone.0081944 DP - University of Cape Town J1 - PLoS One LK - https://open.uct.ac.za PB - University of Cape Town PY - 2013 T1 - A coastal seawater temperature dataset for biogeographical studies: large biases between in situ and remotely-sensed data sets around the Coast of South Africa TI - A coastal seawater temperature dataset for biogeographical studies: large biases between in situ and remotely-sensed data sets around the Coast of South Africa UR - http://hdl.handle.net/11427/15023 ER - en_ZA


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This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Except where otherwise noted, this item's license is described as This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.