Processing and Data for "Estimating ocean net primary productivity from daily cycles of carbon biomass measured by profiling floats"

• Main Authors: Adam Stoer, Katja Fennel
• Format: Other/Unknown Material
• Language: English
• Published: Zenodo 2022
• Subjects: photosynthesis; gross primary productivity; Argo; floats; radiocarbon; backscatter; phytoplankton; satellite; Southern Ocean
• Online Access: https://doi.org/10.5281/zenodo.6977161

Description: These filescontainprocessed BGC-Argo float data, figure data, the radiocarbon productivity subset, bootstrapping results, and the associated Python/Matlab code to calculate net primary productivity from daily cycles of optical backscatter and dissolved oxygen. The raw float data used in this study are available from the Argo Global Data Assembly Centers in Brest, France (ftp://ftp.ifremer.fr/ifremer/argo/dac/coriolis) and Monterey, California (ftp://usgodae.org/pub/outgoing/argo/dac/coriolis). The raw MODIS satellite-based productivity data is available from the Oregon State University Ocean Productivity site ( http://orca.science.oregonstate.edu/npp_products.php ). The raw MODIS satellite-based euphotic depth estimates are available from the NASA L3 browser ( https://oceancolor.gsfc.nasa.gov/l3/ ). The original ship-based estimates of net primary productivity are available from the Pangaea ( https://doi.pangaea.de/10.1594/PANGAEA.932417 ) and the British Oceanography Data Centre ( https://www.bco-dmo.org/dataset/814803 ). Please cite as: Stoer, A., and Fennel, K. 2022.Processing and Data for Estimatingocean net primary productivity from daily cycles of carbon biomass measured by profiling floats. Zenodo. doi:10.5281/zenodo.6977161. Python/MATLAB Software Description: dielFit_GOPeqCR.m: This code is from Johnson and Bif (2021). We haveadded outputs for standard errors for linear and PvE models and sunrise/sunset times. To run this code with the associated Python software a MATLAB engine needs to be installed. Please see: https://www.mathworks.com/help/matlab/matlab-engine-for-python.html argo_so_processing_20220815.py: This code is the first of two pieces of software for estimating netprimary productivity from floats in the Southern Ocean. The program belowobtains the data from the BGC Argo database (Argo, 2021) and processes it.Simple data quality control, interpolation, biogeochemical calculations, anddata binning occur. The processed float data is located in the folder 'Processed Argo Transects'. ...