Over het archief
Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.
Basisinformatie over ‘Open Access to scholarly information'.
| one publication added to basket [362778] |
Improving the retrieval of carbon-based phytoplankton biomass from satellite ocean colour observations
Bellacicco, M.; Pitarch, J.; Organelli, E.; Martinez-Vicente, V.; Volpe, G.; Marullo, S. (2020). Improving the retrieval of carbon-based phytoplankton biomass from satellite ocean colour observations. Remote Sens. 12(21): 3640. https://dx.doi.org/10.3390/rs12213640
In: Remote Sensing. MDPI: Basel. ISSN 2072-4292; e-ISSN 2072-4292, meer
|   |
| Trefwoord |
|
| Author keywords |
phytoplankton carbon; optical backscattering; non-algal particles; ocean colour observations; QAA algorithm; ESA OC-CCI |
| Auteurs | | Top |
- Bellacicco, M.
- Pitarch, J.
- Organelli, E.
|
- Martinez-Vicente, V., meer
- Volpe, G.
- Marullo, S.
|
|
| Abstract |
Phytoplankton is at the base of the marine food web and plays a fundamental role in the global carbon cycle. Ongoing climate change significantly impacts phytoplankton distribution in the ocean. Monitoring phytoplankton is crucial for a full understanding of changes in the marine ecosystem. To observe phytoplankton from space, chlorophyll-a concentration (Chl) has been widely used as a proxy of algal biomass, although it can be impacted by physiology. Therefore, there has been an increasing focus towards estimating phytoplankton biomass in units of carbon (Cphyto). Here, we developed an algorithm to quantify Cphyto from space-based observations that accounts for the spatio-temporal variations of the backscattering coefficient associated with the fraction of detrital particles that do not covary with Chl. The main findings are: (i) a spatial and temporal variation of the detritus component must be accounted for in the Cphyto algorithm; (ii) the refined Cphyto algorithm performs better (relative bias of 23.7%) than any previously existing model; and (iii) our algorithm shows the lowest error in Cphyto across areas where picophytoplankton dominates (relative bias of 14%). In other areas, it is currently not possible to accurately assess the performance of the refined algorithm due to the paucity of in situ carbon data associated with nano- and micro-phytoplankton size classes.
|
IMIS is ontwikkeld en wordt gehost door het VLIZ.
