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Estimating air sea CO2
flux on the European
shelf
MEIKE BECKER, ARE OLSEN
GFI, UNIVERSITY OF BERGEN
BJERKNES CENTRE FOR CLIMATE RESEARCH
Overarching goal: Determining
the ocean carbon sink
2
ATMOSPHERE: 46%
OCEAN: 23%
LAND: 31%
Friedlingstein et al, 2022
3
4
› Open ocean CO2 flux maps
› 8 different products in Global
Carbon Budget
› 10 different products in RECCAP 2
Friedlingstein et al, 2022
5
Random Forest regressions
6
Random Forest regressions
7
Random Forest regressions
Training
dataset
Random
Forest
Product
Prediction
dataset
Global CO2 database
for surface ocean CO2
measurements
8
SOCAT database
8
8
Global CO2 database
for surface ocean CO2
measurements
9
SOCAT database
9
9
10
Random Forest regressions
Training
dataset
pCO2
data
Co-located driver
data e.g. SST, Chl,
MLD
Random
Forest
Full driver data
e.g. SST, Chl, MLD
pCO2 maps
Prediction
dataset Product
11
RMSE / matm R2
Barents Sea 9.9 0.93
Nordic Seas 15.6 0.89
North Sea 19.0 0.85
Baltic Sea 33.5 0.92
Atlantic shelf / Northern 15.5 0.84
Atlantic shelf / Southern 20.2 0.81
Mediterranean 11.4 0.95
Coast definition: 500m water depth or 100km from shore
Spatial resolution: 0.125˚ x 0.125˚
Temporal resolution: monthly
Table 2: RMSE and R2 of the Random Forest pCO2 mapping routine
Results of the RF regression: fCO2 maps
12
Seasonal variations and
variability in fCO2
Month with
minimum
fCO2
Month with
maximum
fCO2
13
Seasonal variations and
variability in fCO2
Month with
minimum
fCO2
Month with
maximum
fCO2
14
Seasonal variations and
variability in CO2 flux
Month with
minimum
CO2 flux
Month with
maximum
CO2 flux
15
Seasonal variations and
variability in CO2 flux
Month with
minimum
CO2 flux
Month with
maximum
fCO2 flux
16
› Sinks:
• Barents Sea
• Nordic Seas
• Northern and Central North Sea
• Atlantic shelf
› Sources:
• Southern North Sea and English Channel
• Baltic Sea
• Mediterranean
Air-Sea flux 2010-2020
FCO2 / gC yr-1 m-2
17
› Increasing sink strength:
• Northern Atlantic shelf
• Barents Sea
Time Series of air-sea CO2 flux
18
› We can use Random Forest regressions to produce
precise maps of coastal pCO2 and air-sea CO2 flux
› Large variability between regions
› Most regions on the European shelf are a net sink for
CO2
› Some of these are increasing in strength
Conclusions
19
20
Thanks to everyone who
contributed to the SOCAT
database!
Do you have any
questions?
ICOS
Integrated Carbon Observation System
› Europeisk forskningsinfrastruktur
› Målinger av CO2 I atmosfære, hav og land økosystemer
› 34 atmosfærs stasjoner
› 21 hav stasjoner
› 71 Økosystem stasjoner
21
ICOS Norge - Marine network
22
Kronprins Haakon (KPH)
Nuka Arctica (until April 2020) /
Tukuma Arctica (from October 2020)
Trans Carrier
GO Sars
SOOP-Bergen Kirkenes

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Becker, Meike: Estimating air sea CO2 flux on the European shelf

Editor's Notes

  1. Meike Becker
  2. av co2 i atmosfæren allerede været rundt 480ppm og ikke 410 som der er nå Problem: We have several different estimates for the open ocean carbon sink, but only few for coastal regions Coastal regions are very divers Observations are relatively scarce
  3. simple regression tree divides the input data into subgroups based on different characteristics in the driver data At each branch fork, called node, the routine divides the node into two child nodes, trying to minimize the dissimilarity within the child nodes The end nodes that are not divided any further are called leaves. Danger of overfitting
  4. Solution: use more than one tree Things to keep in mind: Relatively conservative estimates Overfitting when using too small leave sizes
  5. Explain what all the colors means
  6. Explain what all the colors means
  7. F CO2 /
  8. Now: operational