Table 4 % of difference between the POC export values presented in Table 1 and the results of the sensitivity tests, computed as: 100*[(export_observed-export_test)/export_observed]

POC algorithms

Application of Stramski et al. (2008) algorithm without POC: b_bp correction

+13% with respect to the export computed with the standard CMEMS product

Cetinic et al. (2012) without POC: b_bp correction

−42% with respect to the export computed with the standard CMEMS product

Koestner et al. (2022) without POC: b_bp correction

−30% with respect to the export computed with the standard CMEMS product

POC:b_bp depth-resolved correction

Application of the POC: b_bp correction proposed by Gali et al. (2022) to the standard CMEMS product

−5% with respect to the export computed with the CMEMS product without Gali et al. (2022)’s correction

Dynamical variables (vertical and horizontal velocities)

Adding a Gaussian error of 30% of the velocity weekly fields

−1%

Adding a Gaussian error of a fixed value of 10 cm/s on weekly velocity fields

−3%

Horizontal diffusion single value instead of map

Use of single value for the horizontal diffusion on a global scale

−8% with respect to the value obtained by the use of a single climatological map of horizontal diffusion

Vertical diffusion

k_z of O(10⁻² m² s⁻¹)

+700% with respect to the export computed with k_z 10⁻³ m² s⁻¹

k_z of O(10⁻⁴ m² s⁻¹)

−70% with respect to the export computed with k_z of 10⁻³ m² s⁻¹

Use of a single 3D climatology

Use of a single of 3D POC climatology

−22% with respect to the use of high-resolution 3D POC fields