POSTER Session 4

DOM ALGORITHM EVALUATION FOR PACE WITH NASA FIELD OBSERVED RADIOMETRY AND BIOGEOCHEMICAL MEASUREMENTS

Dissolved organic carbon (DOC) represents the vast majority of organic carbon in the coastal marine environment, and consequently plays an important role in the global scale carbon cycle. At present, no technique has been developed for the direct measurement of DOC from remote sensing platforms, so empirical algorithms have been developed to estimate DOC in both coastal environments and at global scales from remotely-measured parameters such as the colored dissolved organic matter absorption coefficient (aCDOM), remote sensing reflectance (Rrs), sea surface temperature, and Chlorophyll-a concentration. To evaluate the performance of these algorithms, ground-truth measurements of DOC and these additional algorithm inputs from sources independent of the original algorithm training dataset are invaluable. Greater than 300 DOC measurements from over 15 NASA Ocean Ecology Lab-affiliated cruises conducted since 2013 for which coincident field observations of Rrs, aCDOM, and other biogeochemical measurements comprise our dataset currently. Field Rrs measurements include those from the multispectral C-OPS and hyperspectral Hyperpro and HyperSAS/pySAS platforms. Here, we use these data to evaluate dissolved organic matter (DOM) algorithms. DOC and CDOM algorithms from (Aurin et al. 2018) and (Mannino et al., 2016, 2018) are examined, alongside a DOC neural network approach from (Bonelli et al. 2022). Several algorithms employ UV and many Rrs bands to take advantage of PACE capabilities. Finally, initial PACE matchup results for DOM products from the 2024 EKAMSAT and VIIRS cal/val cruises are explored.

Graham Trolley, NASA Goddard Space Flight Center, USA, [email protected]

Antonio Mannino, NASA Goddard Space Flight Center, USA, [email protected]

Dirk Aurin, NASA Goddard Space Flight Center, USA, [email protected]

Harrison Smith, NASA Goddard Space Flight Center, USA, [email protected]

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