DMS emission dataset (latitudes >45N)

# README file for (sub)Arctic DMS emission dataset (latitudes >45N), v1.0.0 =========================================================================== Martí Galí Tàpias, 2019-06-12 orcid:0000-0002-5587-1271 Address requests for additional data and questions to: marti.gali.tapias@gmail.com This d...

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Bibliographic Details
Main Author: Martí Galí Tàpias
Format: Dataset
Language:unknown
Published: 2019
Subjects:
Online Access:https://zenodo.org/record/3243967
https://doi.org/10.5281/zenodo.3243967
Description
Summary:# README file for (sub)Arctic DMS emission dataset (latitudes >45N), v1.0.0 =========================================================================== Martí Galí Tàpias, 2019-06-12 orcid:0000-0002-5587-1271 Address requests for additional data and questions to: marti.gali.tapias@gmail.com This dataset contains satellite-derived time series of: * dmspt (sea-surface dimethylsulfoniopropionate -DMSPt- concentration, in µmol/m3 or equivalent nmol/L) * dms (sea-surface dimethylsulfide -DMS- concentration, in µmol/m3 or equivalent nmol/L) * fdms (sea-air DMS flux, in µmol/m2/d) * ice concentration (0 to 1) The DMSPt dataset was produced as described by: Galí, M., Devred, E., Levasseur, M., Royer, S. J., & Babin, M. (2015). A remote sensing algorithm for planktonic dimethylsulfoniopropionate (DMSP) and an analysis of global patterns. Remote Sensing of Environment, 171, 171-184. https://doi.org/10.1016/j.rse.2015.10.012 The DMS dataset was produced as described by: Galí, M., Devred, E., Babin, M., & Levasseur, M. (2019). Decadal increase in Arctic dimethylsulfide emission. Accepted in PNAS. doi:10.1073/pnas.1904378116. Galí, M., Levasseur, M., Devred, E., Simó, R., & Babin, M. (2018). Sea-surface dimethylsulfide (DMS) concentration from satellite data at global and regional scales. Biogeosciences, 15(11), 3497-3519. https://doi.org/10.5194/bg-15-3497-2018 Code for the DMSPt_SAT and DMS_SAT algorithms: https://github.com/mgali/DMS-SAT_ALGORITHM ## File format MetCDF files are self-describing: they contain one “variable of interest” and all the corresponding temporal and geographic dimensions. ## File naming convention variable_sensorYYYY_nD_28km.nc Both the DMSPt and DMS satellite datasets are based on ocean color data obtained from NASA Ocean Color website. Chlorophyll was derived from the GSM algorithm, hence _gsm was appended to the variable names. DMSPt and DMS were produced for 2 satellite sensors. * S = SeaWiFS, years 1998 to 2007 * A = MODIS-Aqua, years 2003 to 2016 (the last year is empty from ...