EGU23-5646
https://doi.org/10.5194/egusphere-egu23-5646
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Quantifying the added value of underway pCO₂ data from sailboats

Jacqueline Behncke1,2 and Peter Landschützer3,1
Jacqueline Behncke and Peter Landschützer
  • 1Max Planck Institute for Meteorology, Hamburg Germany
  • 2International Max Planck Research School on Earth System Modelling, Hamburg, Germany (jacqueline.behncke@mpimet.mpg.de)
  • 3Flanders Marine Institute (VLIZ), Ostend, Belgium (peter.landschutzer@vliz.be)

The ocean regulates the climate by annually absorbing roughly 25 % of anthropogenic CO2 emissions from the atmosphere. In order to quantify the capacity of the ocean carbon sink from observations, measurements of the sea surface partial pressure of CO2 (pCO2) are essential. Building on the existing observational networks, we can utilize neural networks and other statistical methods, to interpolate data gaps in time and space creating homogeneous pCO2 maps to estimate the exchange of CO2 through the air-sea interface. However, uncertainties in these neural network interpolations are still substantial, particularly in less frequently monitored ocean regions such as the Southern Ocean. Trying to close existing data gaps, MPI is working with a novel, cost efficient and environmentally friendly fleet: sailboats. Sailboat pCO2 has been regularly collected since 2018, however, their added value has not yet been quantified.
Here, we quantify the added value and rate of improvement of underway pCO2 data from such racing events by creating a twin of all available SOCAT observations, excluding data from sailboat races. We apply the SOM-FFN technique on all pCO2 observations in SOCAT as well as the twin dataset and calculated the sea surface pCO2 and subsequently the air-sea CO2 exchange. By comparing the reconstructive air-sea CO2 fluxes, we were able to quantify the difference, representing the added value of sailboat racing events.
Our results show that the reconstructions on SOCAT and the twin dataset significantly differ in the air-sea CO2 flux density on regional scales by up to 1.26 mol m-2 yr-1. 99 % of the significant differences fall below 0.40 mol m⁻² yr⁻¹. While differences are within the noise in many regions, significant differences can be detected in the less frequently monitored Southern Ocean, where pCO2 data from single events, such as the Vendée Globe are added, as well as in the North Atlantic, where the majority of racing events took place. While the results after 5 years of data collection do not show a significant effect when globally integrating the air-sea CO2 exchange, our results highlight the potential of sailing yachts as an observational platform, particularly in less frequently navigated ocean regions. We conclude that sailboat races provide a complementary observing platform to research vessels and robotic floats. Considering the recurrence of sailboat races, they have the potential to improve reconstructive air-sea CO2 flux estimates on a larger scale in the future.

How to cite: Behncke, J. and Landschützer, P.: Quantifying the added value of underway pCO₂ data from sailboats, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-5646, https://doi.org/10.5194/egusphere-egu23-5646, 2023.

Supplementary materials

Supplementary material file