This algorithm returns the concentration of the phytoplankton carbon (carbon_phyto) in mg m-3, calculated using an empirical relationship derived from field data between analytical measurements of carbon_phyto and particulate backscattering coefficient (Graff et al. 2015).
Implementation of the algorithm is contingent on the availability of particulate backscattering coefficient at 470 nm, that is currently derived using Generalized Inherent Optical Property (GIOP, Werdell et al., 2013) model output bbp_443_giop and bbp_s_giop.
Algorithm Point of Contact: Jason Graff and Toby Westberry, OSU
Input:
bbp_s_giop
bbp_443_giop
Output:
carbon_phyto
Phytoplankton Carbon (mg m-3)
General Algorithm:
The algorithm is a linear relationship between bbp_470 and carbon_phyto where:
Where:
a1 = 12,128
b1 = 0.59
Backscattering is calculated using the Inherent Optical Properties products (currently GIOP), where bbp_470 is derived from bbp_443_xxx assuming the power function of the backscattering spectral shape, using bbp_s_xxx as a slope coefficient, where xxx = {IOP MODEL}
Product Short Name:
carbon_phyto
Level-2 Product Suite:
None (available through SeaDAS command-line processing)
Level-3 Product Suite:
carbon_phyto (test product)
Calling in L2GEN:
l2prod = carbon_phyto
iop_opt (int) (default=7) = IOP model for use in downstream products
To override using a variable bbp slope, specify: bbp_s_{IOP MODEL}
e.g. bbp_s_giop = -1
Graff, J.R., Westberry, T.K., Milligan, A.J., Brown, M.B., Dall’Olmo, G., Dongen-Vogels, V.v., Reifel, K.M., & Behrenfeld, M.J. (2015). Analytical phytoplankton carbon measurements spanning diverse ecosystems. Deep Sea Research Part I: Oceanographic Research Papers, 102, 16-25
Werdell, P.J., Franz, B.A., Bailey, S.W., Feldman, G.C., Boss, E., Brando, V.E., Dowell, M., Hirata, T., Lavender, S.J., & Lee, Z. (2013). Generalized ocean color inversion model for retrieving marine inherent optical properties. Applied Optics, 52, 2019-2037
TBD
