The development of a remote sensing algorithm for dimethylsulphide (DMS) in the surface of the Southern Ocean
Dimethylsulphide (DMS) is a marine biogenic gas which can modulate climate through increasing aerosol light scattering in the atmosphere and seeding cloud formation. In the Southern Ocean the climate is particularly sensitive to DMS, however these effects cannot be adequately quantified due to lack...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/362371 |
| Acceso en línea: | https://hdl.handle.net/2117/362371 |
| Access Level: | acceso abierto |
| Palabra clave: | Remote sensing Dimethyl sulfate Phytoplankton Climatology Southern Ocean dimethylsulphide phytoplankton climatology remote sensing Teledetecció Sulfat de dimetil Fitoplàncton Climatologia Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Enginyeria ambiental |
| Sumario: | Dimethylsulphide (DMS) is a marine biogenic gas which can modulate climate through increasing aerosol light scattering in the atmosphere and seeding cloud formation. In the Southern Ocean the climate is particularly sensitive to DMS, however these effects cannot be adequately quantified due to lack of time- and space-resolved estimates of the DMS sea surface distribution in this region. Previously developed models for the prediction of marine DMS are on a global scale and do not well represent the Southern Ocean. There is therefore a growing interest in having an algorithm optimized for the Southern Ocean. In this work a satellite-based algorithm was developed, based on ocean chlorophyll concentration (Chl) and sea surface temperature (SST) to predict the sea surface DMS concentration. The model is separated into two temperature regimes, SST below 4⁰C and SST above 4⁰C, both corresponding to a different relationship between Chl, SST and DMS. The overall model explained 67% of DMS variance in the Southern Ocean. DMS distribution maps were made using the developed algorithm to predict sea surface DMS concentration from satellite Chl and SST data. High DMS concentrations are observed between latitudes of 40⁰S and 50⁰S, and between 60⁰S to 70⁰S, with a band of lower DMS in the middle from 50⁰S to 60⁰S. Mean latitudinal DMS concentrations for the austral summer period are comparable to previous climatologies, however the predictions for the austral winter period are less reliable due to lack of data. The development of this algorithm can support further studies of DMS-climate interactions in the Southern Ocean. |
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