Integrating mooring and ship-based data for improved validation of OLCI chlorophyll-a products in the Baltic Sea
A Water Quality Monitor (WQM) equipped with a range of oceanographic sensors was deployed from April 2017 to October 2017 in the North Western (NW) Baltic Sea. We assessed here if the data from a moored chlorophyll-a fluorometer can be used to improve satellite validation in coastal waters. Calibrat...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-02-01
|
| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0303243420302397 |
| _version_ | 1828466147156033536 |
|---|---|
| author | Susanne Kratzer Matthew Plowey |
| author_facet | Susanne Kratzer Matthew Plowey |
| author_sort | Susanne Kratzer |
| collection | DOAJ |
| description | A Water Quality Monitor (WQM) equipped with a range of oceanographic sensors was deployed from April 2017 to October 2017 in the North Western (NW) Baltic Sea. We assessed here if the data from a moored chlorophyll-a fluorometer can be used to improve satellite validation in coastal waters. Calibrated mooring data and ship-based chlorophyll-a concentrations from 2017 and 2018 were matched with OLCI (Ocean and Land Colour Instrument) data to validate the C2RCC (Case-2 Regional Coast Colour) processor, a locally-adapted version of C2RCC (LA-C2RCC), as well as the POLYMER processor. Using additional mooring data resulted in a substantial increase in paired observations compared to using ship-based data alone (C2RCC; N = 41–63, LA-C2RCC; N = 37–59, POLYMER; N = 108–166). However, the addition of mooring data only reduced the error and bias of the LA-C2RCC (MNB: from 24 % to 22 %, RMSE: from 60 % to 57 %, APD: both 47 %). In contrast, the statistical errors increased with the addition of mooring data both for C2RCC (MNB: −26 % to −33 %, RMSE: 50 %–51 %, APD 84 %–96 %) and for POLYMER (MNB: 26 %–36 %, RMSE: 79 % to 79 %, APD 64 %–64 %). The results indicate that the locally-adapted version of the C2RCC should be used for the area of investigation. These results are most likely also related to the effect of the System Vicarious Calibration (SVC). As opposed to C2RCC, the locally-adapted version had not been vicariously calibrated. The results indicate that SVC is not beneficial for Baltic Sea data and that more work needs to be done to improve SVC for Baltic Sea waters or for other waters with high CDOM absorption. In order to improve the validation capabilities of moored fluorometers in general, they should be strategically placed in waters with representative ranges of chl-a concentrations for the area of research in question. |
| first_indexed | 2024-12-11T03:45:56Z |
| format | Article |
| id | doaj.art-fcbd0aab45f440128466803b934fce91 |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-12-11T03:45:56Z |
| publishDate | 2021-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-fcbd0aab45f440128466803b934fce912022-12-22T01:22:02ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322021-02-0194102212Integrating mooring and ship-based data for improved validation of OLCI chlorophyll-a products in the Baltic SeaSusanne Kratzer0Matthew Plowey1Corresponding author.; Department of Ecology, Environment and Plant Sciences (DEEP), Stockholm University, 106 91 Stockholm, SwedenDepartment of Ecology, Environment and Plant Sciences (DEEP), Stockholm University, 106 91 Stockholm, SwedenA Water Quality Monitor (WQM) equipped with a range of oceanographic sensors was deployed from April 2017 to October 2017 in the North Western (NW) Baltic Sea. We assessed here if the data from a moored chlorophyll-a fluorometer can be used to improve satellite validation in coastal waters. Calibrated mooring data and ship-based chlorophyll-a concentrations from 2017 and 2018 were matched with OLCI (Ocean and Land Colour Instrument) data to validate the C2RCC (Case-2 Regional Coast Colour) processor, a locally-adapted version of C2RCC (LA-C2RCC), as well as the POLYMER processor. Using additional mooring data resulted in a substantial increase in paired observations compared to using ship-based data alone (C2RCC; N = 41–63, LA-C2RCC; N = 37–59, POLYMER; N = 108–166). However, the addition of mooring data only reduced the error and bias of the LA-C2RCC (MNB: from 24 % to 22 %, RMSE: from 60 % to 57 %, APD: both 47 %). In contrast, the statistical errors increased with the addition of mooring data both for C2RCC (MNB: −26 % to −33 %, RMSE: 50 %–51 %, APD 84 %–96 %) and for POLYMER (MNB: 26 %–36 %, RMSE: 79 % to 79 %, APD 64 %–64 %). The results indicate that the locally-adapted version of the C2RCC should be used for the area of investigation. These results are most likely also related to the effect of the System Vicarious Calibration (SVC). As opposed to C2RCC, the locally-adapted version had not been vicariously calibrated. The results indicate that SVC is not beneficial for Baltic Sea data and that more work needs to be done to improve SVC for Baltic Sea waters or for other waters with high CDOM absorption. In order to improve the validation capabilities of moored fluorometers in general, they should be strategically placed in waters with representative ranges of chl-a concentrations for the area of research in question.http://www.sciencedirect.com/science/article/pii/S0303243420302397Ocean colour remote sensingOLCI Sentinel-3C2RCCPOLYMERChlorophyll-aFluorometer |
| spellingShingle | Susanne Kratzer Matthew Plowey Integrating mooring and ship-based data for improved validation of OLCI chlorophyll-a products in the Baltic Sea International Journal of Applied Earth Observations and Geoinformation Ocean colour remote sensing OLCI Sentinel-3 C2RCC POLYMER Chlorophyll-a Fluorometer |
| title | Integrating mooring and ship-based data for improved validation of OLCI chlorophyll-a products in the Baltic Sea |
| title_full | Integrating mooring and ship-based data for improved validation of OLCI chlorophyll-a products in the Baltic Sea |
| title_fullStr | Integrating mooring and ship-based data for improved validation of OLCI chlorophyll-a products in the Baltic Sea |
| title_full_unstemmed | Integrating mooring and ship-based data for improved validation of OLCI chlorophyll-a products in the Baltic Sea |
| title_short | Integrating mooring and ship-based data for improved validation of OLCI chlorophyll-a products in the Baltic Sea |
| title_sort | integrating mooring and ship based data for improved validation of olci chlorophyll a products in the baltic sea |
| topic | Ocean colour remote sensing OLCI Sentinel-3 C2RCC POLYMER Chlorophyll-a Fluorometer |
| url | http://www.sciencedirect.com/science/article/pii/S0303243420302397 |
| work_keys_str_mv | AT susannekratzer integratingmooringandshipbaseddataforimprovedvalidationofolcichlorophyllaproductsinthebalticsea AT matthewplowey integratingmooringandshipbaseddataforimprovedvalidationofolcichlorophyllaproductsinthebalticsea |