Decadal changes in Arctic Ocean Chlorophyll a: bridging ocean color observations from the 1980s to present time
|Temporal extent||1979-04-01 -2016-09-31|
|Author(s)||Oziel Laurent1, 2, 3, Massicotte Philippe2, Babin Marcel2, Devred Emmanuel1|
|Affiliation(s)||1 : Ocean and Ecosystem Sciences Division, Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS B2Y 4A2, Canada
2 : Takuvik Joint International Laboratory, Laval University (Canada) - CNRS (France), Département de biologie et Québec-Océan, Université Laval, Québec, Québec, G1V 0A6, Canada
3 : Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Am Handelshafen 12, 27570 Bremerhaven, Germany
|Note||The data is provided as seasonal (spring: April-May-June; summer: July-August-September) or annual (April-September) composite climatologies of Chlorophyll a (mg/m3) in two different formats: "Binned" or "Mapped", following the same standards used by the NASA OBPG. The "Binned" format can be seen as the original data which is used in the related article and consists of constant resolution data points (~27.8 km) on a sinusoidal grid. For convenience, we also provide "Mapped" images produced by binning the "Binned" data onto a more "user-friendly" regular 1° (longitudes) x 0.5° (latitudes) grid. "Mapped" images provide the mean, maximum, minimum and variance of the Chlorophyll a levels in each pixel, as well as the number of data points used.|
|Keyword(s)||ocean color, chlorophyll a, phytoplankton, Arctic Ocean, Arctic, biomass, remote sensing, satellite, CZCS, SeaWiFS, MODIS, remote sensing|
This dataset is related to the article "Decadal changes in Arctic Ocean Chlorophyll a: bridging ocean color observations from the 1980s to present time" In Remote Sensing of Environment by Laurent Oziel, Philippe Massicotte, Marcel Babin and Emmanuel Devred. It provides the longest (but non-continuous) ocean color time-series ever produced for the Arctic Ocean (37 years long between 1979 and 2016). To achieve this time-series, the raw data from the Sea-viewing Wide Field-of-View (SeaWiFS, 1998-2010) and the MODerate resolution Imaging Spectroradiometer (MODIS, 2003-2016) ocean-color sensors were re-processed to ensure compatibility with the first ocean color sensor, namely, the Coastal Zone Color Scanner (CZCS, 1979-1986). The dataset was carefully quality-controlled with a bio-regional approach. Despite the temporal gaps between 1986 and 1998 due to the absence of ocean color satellite, the time series (here delivered as climatologies) is suitable to establish a baseline of phytoplankton biomass for the early 1980s and to derive decadal change in Chlorophyll a.
|Acknowledgements||L.O. was funded by an NSERC/CRSNG “Visiting Fellowship” in Canadian laboratories in the framework of the DFO-International Governance Strategy (IGS project, PI: Emmanuel Devred). L.O. was also supported by the joint international laboratory Takuvik (ULaval/CNRS), the Canada Excellence Research Chair in remote sensing of Canada’s new Arctic frontier. This study was also a contribution to the Green Edge project which is funded by the following French and Canadian programs and agencies: ANR (Contract #111112), CNES (project #131425), IPEV (project #1164), CSA, Fondation Total, ArcticNet, LEFE and the French Arctic Initiative (Green Edge project). The authors would like to warmly thank Sean Bailey and NASA OPGB Group for assistance in the gathering of MODIS L1A files, Maxime Benoit-Gagné for the calculation of the Chl a with the GSM01 algorithm and Martí Galí Tàpias for the binning algorithm. Note that this study heavily relied on massive computer calculations and would not have been possible without the decisive implication and assistance of Compute Canada (www.computecanada.ca) and Calcul Quebec.|
The dataset is a reprocessing of the Coastal Zone Color Scanner (CZCS, 1979-1986), the Sea-viewing Wide Field-of-View (SeaWiFS, 1998-2010) and the MODerate resolution Imaging Spectroradiometer (MODIS, 2003-2016) ocean-color sensors. The original raw data were downloaded freely by the NASA distributed Active Archive Center (DAAC) for satellite Ocean Biology (OB) by the Ocean Biology Processing Group (OBPG, https://oceandata.sci.gsfc.nasa.gov/).