Projects / Programmes
High resolution physical-biogeochemical model and 20-year reanalysis of primary production in the Adriatic Sea
| Code |
Science |
Field |
Subfield |
| 1.03.00 |
Natural sciences and mathematics |
Biology |
|
| 1.02.00 |
Natural sciences and mathematics |
Physics |
|
| Code |
Science |
Field |
| B260 |
Biomedical sciences |
Hydrobiology, marine biology, aquatic ecology, limnology |
| Code |
Science |
Field |
| 1.06 |
Natural Sciences |
Biological sciences |
| 1.03 |
Natural Sciences |
Physical sciences |
Primary production, coupled physical-biogeochemical model, remote sensing, long term reanalysis, in situ measurements, phytoplankton, clorophyll
Researchers (1)
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
31481 |
PhD Martin Vodopivec |
Biology |
Head |
2019 - 2022 |
84 |
Organisations (1)
| no. |
Code |
Research organisation |
City |
Registration number |
No. of publicationsNo. of publications |
| 1. |
0105 |
National Institute of Biology |
Ljubljana |
5055784 |
13,240 |
Abstract
We will construct a coupled physical-biogeochemical model of the Adriatic Sea to run a 20-year reanalys of primary production and phytoplankton community composition. The reanalysis will surpass previous similar research in resolution, complexity and accuracy. We will use a 30-year long record of physical, chemical and biological observations in the Gulf of Trieste to construct our model and constrain the model parameters. We will also incorporate in situ observations from other locations in the Adriatic Sea, which are available from publications and data sharing networks. With the unification of in situ measurements, model results and satellite chlorophyll data we will construct a long term spatially homogeneous reanalysis of primary production and phytoplankton composition. Previous work, performed by our colleagues from Marine Biology Station of the National Institute of Biology, shows that the relation between chlorophyll concentration and primary production strongly depends on the phytoplankton community structure. Using in situ measurements, satellite data and model results, we will deduce an optimized algorithm for estimation of primary production from satellite measurements of ocean color in temperate coastal areas. We will also consider some basic data assimilation techniques in preparation for full scale satellite Chla assimilation which will be implemented after the end of the project. Our results will elucidate the mechanisms controlling the primary production and phytoplankton community composition in the area, explain the general role of small scale processes on net primary production and improve primary production estimates from satellite data. The gained knowledge will help us estimate the production capacity of the system and the limits of responsible use. As primary production acts as a carbon pump, a good estimation is necessary for evaluation of the rate of climate change. The new tool will form the base for research of higher trophic levels and the model could be used for forecasting purposes, fisheries and marine protected areas management and for evaluation of impacts of future climate scenarios. New data on the influence of small scale processes on primary production will improve global primary production estimates and parametrization in coarse resolution models (Earth System Models).
Significance for science
Our project will be one of the rare endeavors that fully integrates in situ measurements, satellite observations and computer modeling. It reaches across many disciplines as it includes physical, chemical and biological mechanisms to construct a holistic representation of the ecosystem. We will modify an existing state of the art biogeochemical model, to include several phytoplankton groups, and couple it with high resolution ocean model to construct the most advanced primary production model to date. Our long-term reanalysis will provide the most comprehensive overview of primary production and phytoplankton dynamics in the Adriatic Sea. This will enable us to elucidate the complex interactions between physical and chemical parameters, phytoplankton community dynamics and primary production, which are still not well understood. Our work will contribute to better parametrizations of effects of small scale processes on primary production in global models and improve the estimation of primary production from remotely sensed (satellite) Chla concentrations in temperate coastal areas. We will make our model results and code freely available for future use and further modification by the scientific community.
Significance for the country
Our project will be one of the rare endeavors that fully integrates in situ measurements, satellite observations and computer modeling. It reaches across many disciplines as it includes physical, chemical and biological mechanisms to construct a holistic representation of the ecosystem. We will modify an existing state of the art biogeochemical model, to include several phytoplankton groups, and couple it with high resolution ocean model to construct the most advanced primary production model to date. Our long-term reanalysis will provide the most comprehensive overview of primary production and phytoplankton dynamics in the Adriatic Sea. This will enable us to elucidate the complex interactions between physical and chemical parameters, phytoplankton community dynamics and primary production, which are still not well understood. Our work will contribute to better parametrizations of effects of small scale processes on primary production in global models and improve the estimation of primary production from remotely sensed (satellite) Chla concentrations in temperate coastal areas. We will make our model results and code freely available for future use and further modification by the scientific community.
