Academic Journal
The Ocean Colour Climate Change Initiative: III. A round-robin comparison on in-water bio-optical algorithms
| العنوان: | The Ocean Colour Climate Change Initiative: III. A round-robin comparison on in-water bio-optical algorithms |
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| المؤلفون: | Brewin, RJW, Sathyendranath, S, Müller, D, Brockmann, C, Deschamps, P-Y, Devred, E, Doerffer, R, Fomferra, N, Franz, BA, Grant, MG, Groom, SB, Horseman, A, Hu, C, Krasemann, H, Lee, ZP, Maritorena, S, Melin, F, Peters, M, Platt, T, Regner, P, Smyth, TJ, Steinmetz, F, Swinton, J, Werdell, J, White, GN |
| سنة النشر: | 2015 |
| المجموعة: | Plymouth Marine Science Electronic Archive (PlyMSEA - Plymouth Marine Laboratory, PML) |
| مصطلحات موضوعية: | Earth Observation - Remote Sensing, Earth Sciences, Ecology and Environment, Marine Sciences |
| الوصف: | Satellite-derived remote-sensing reflectance (Rrs) can be used for mapping biogeochemically relevant variables, such as the chlorophyll concentration and the Inherent Optical Properties (IOPs) of the water, at global scale for use in climate-change studies. Prior to generating such products, suitable algorithms have to be selected that are appropriate for the purpose. Algorithm selection needs to account for both qualitative and quantitative requirements. In this paper we develop an objective methodology designed to rank the quantitative performance of a suite of bio-optical models. The objective classification is applied using the NASA bio-Optical Marine Algorithm Dataset (NOMAD). Using in situRrs as input to the models, the performance of eleven semi-analytical models, as well as five empirical chlorophyll algorithms and an empirical diffuse attenuation coefficient algorithm, is ranked for spectrally-resolved IOPs, chlorophyll concentration and the diffuse attenuation coefficient at 489 nm. The sensitivity of the objective classification and the uncertainty in the ranking are tested using a Monte-Carlo approach (bootstrapping). Results indicate that the performance of the semi-analytical models varies depending on the product and wavelength of interest. For chlorophyll retrieval, empirical algorithms perform better than semi-analytical models, in general. The performance of these empirical models reflects either their immunity to scale errors or instrument noise in Rrs data, or simply that the data used for model parameterisation were not independent of NOMAD. Nonetheless, uncertainty in the classification suggests that the performance of some semi-analytical algorithms at retrieving chlorophyll is comparable with the empirical algorithms. For phytoplankton absorption at 443 nm, some semi-analytical models also perform with similar accuracy to an empirical model. We discuss the potential biases, limitations and uncertainty in the approach, as well as additional qualitative considerations for algorithm ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | text |
| اللغة: | English |
| Relation: | http://plymsea.ac.uk/id/eprint/5627/1/Brewin_etal_2015_Accepted_RSE.pdf; Brewin, RJW; Sathyendranath, S; Müller, D; Brockmann, C; Deschamps, P-Y; Devred, E; Doerffer, R; Fomferra, N; Franz, BA; Grant, MG; Groom, SB; Horseman, A; Hu, C; Krasemann, H; Lee, ZP; Maritorena, S; Melin, F; Peters, M; Platt, T; Regner, P; Smyth, TJ; Steinmetz, F; Swinton, J; Werdell, J; White, GN. 2015 The Ocean Colour Climate Change Initiative: III. A round-robin comparison on in-water bio-optical algorithms. Remote Sensing of Environment, 162. 271-294. https://doi.org/10.1016/j.rse.2013.09.016 |
| DOI: | 10.1016/j.rse.2013.09.016 |
| الاتاحة: | http://plymsea.ac.uk/id/eprint/5627/ http://plymsea.ac.uk/id/eprint/5627/1/Brewin_etal_2015_Accepted_RSE.pdf https://doi.org/10.1016/j.rse.2013.09.016 |
| Rights: | cc_by_nc_nd_4 |
| رقم الانضمام: | edsbas.342A0EC0 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1016/j.rse.2013.09.016 |
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