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Digital
Library of the European Council for Modelling and Simulation |
Title: |
A Model for Predicting the Amount of Photosynthetically Available Radiation from BGC-ARGO Float Observations in the Water Column |
Authors: |
Frederic Stahl, Lars Nolle, Oliver Zielinski, Ahlem Jemai |
Published in: |
(2022). ECMS 2022,
36th Proceedings DOI: http://doi.org/10.7148/2022 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) ISBN: 978-3-937436-77-7 Communications of the ECMS , Volume 36, Issue 1, June 2022, Ă…lesund, Norway May 30th - June 3rd, 2022 |
Citation
format: |
Frederic Stahl, Lars Nolle, Oliver Zielinski, Ahlem Jemai (2022). A Model for Predicting the Amount of Photosynthetically Available Radiation from BGC-ARGO Float Observations in the Water Column, ECMS 2022 Proceedings Edited By: Ibrahim A. Hameed, Agus Hasan, Saleh Abdel-Afou Alaliyat, European Council for Modeling and Simulation. doi:10.7148/2022-0174 |
DOI: |
https://doi.org/10.7148/2022-0174 |
Abstract: |
Modern oceanography
uses, amongst other platforms, automated diving devices, which are drifting
with the ocean current whilst continuously collecting vertical profiles of
environmental parameters. One of the important parameters is photosynthetically
available radiation (PAR). It was studied in this work whether the PAR values
can be reconstructed by combinations of measurements from the remaining onboard
sensors with specific wavelength. If a reconstruction of PAR is possible, this
would allow allocating the sensor with a further specific wavelength instead of
PAR. Having available more spectral information could for example enable
natural science researchers to better distinguish phytoplankton or UV
radiation. Therefore, data from three different expeditions from different
regions of the world were used to model PAR using multiple linear regression
and regression trees (RT). multiple linear regression achieved an R<sup>2</sup>
value of 0.970 for the combined dataset and RT achieved an R<sup>2</sup> value
of 0.960. Hence, the models are accurate enough to predict the PAR parameter
without the need for a dedicated PAR sensor. Thus the PAR sensor could be
allocated instead with a further specific wavelength.. |
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