DATASET

GMIS - MODIS-AQUA Monthly anomalies absorption coefficient due to chromophoric dissolved organic matter and non-pigmented particles at 443nm (9km) in %

Collection: GMIS : Global Marine Information System 

Description

Absorption Coefficient of colored detrital matter at 443nm (adg in m^-1 at 9km resolution): The absorption coefficient adg represents the fraction of incident light absorbed by both detrital particles and colored dissolved organic matter (CDOM). Dissolved organic matter is an important component of the oceanic carbon cycle. It is also used as proxy to assess the impact of terrigenous inputs in coastal waters.

Contact

Email
jrc-emis (at) ec.europa.eu

Contributors

  • Frederic Melin

How to cite

Melin, Frederic (2013): GMIS - MODIS-AQUA Monthly anomalies absorption coefficient due to chromophoric dissolved organic matter and non-pigmented particles at 443nm (9km) in %. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/8063ad2b-9947-4288-9112-8d8fca69cf1a

Keywords

absorption coefficient due to chromophoric dissolved organic matter and non-pigmented particles anomalies climate change coastal environment GIS digital format marine environment marine monitoring ocean color satellite observations sea water protection

Data access

GMIS - Download access (GMIS_A_ANO_ADG)
URL 
  • Direct NetCDF download

Spatial coverage

Type Value
GML
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GML
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WKT
POLYGON ((-180 90, 180 90, 180 -90, -180 -90, -180 90))

Temporal coverage

From date To date
2002-07-01 2017-10-31

Lineage information

General information: Monthly anomalies absorption coefficient due to chromophoric dissolved organic matter and non-pigmented particles at 443nm in m^-1 derived from the MODIS-AQUA sensor. Processing information: adg(443) data is reprocessed using SeaDAS 6.4 software and the QAA algorithm (Lee et al., 2002). Temporal characteristics: This dataset consists of standard Monthly anomalies sea surface adg(443) maps at 9km resolution (L3 product). Description of observation methods/instruments: The remote sensing of 'Ocean Colour' represents a measure of the spectral variations in the light leaving the water surface, subsequently interpreted in terms of concentrations of optically-significant constituents in the water. The electromagnetic signal collected by the sensor on-board the satellite is largely determined by photons that have never reached the water surface, but have been backscattered within the atmosphere through multiple interactions between gas molecules and aerosols. After removing the atmospheric contribution, the water leaving radiance recorded at a given time by the satellite reflects the optical properties of the water which, in turn, mirrors a specific structure and biogeochemical composition of the marine waters. The satellite-derived reflectance at the air-sea interface is related to inherent optical properties of the water constituents including as adg(443). Quality/accuracy/calibration information: The calculation is based on a semi-analytical bio-optical algorithm. More details as well as validation results are given in Lee et al. (2002), IOCCG (2006) or Melin et al. (2007). References: Lee, Z.-P., Carder, K.L., Arnone, R.: Deriving inherent optical properties from water color: A multiband quasi-analytical algorithm for optically deep waters. Appl. Opt., 41, 5755-5772, 2002. IOOCG Report 5: Remote sensing of inherent optical properties: Fundamentals, tests of algorithms, and applications, Eds. Z.-P. Lee, 126pp., 2006. Mélin,F., Zibordi, G., Berthon, J.-F.: Assessment of satellite ocean color products at a coastal site. Remote Sens. Environ., 110, 192-215, 2007. Other contextual information: The product is stored in NetCDF data and available for download.

Additional information

Published by
European Commission, Joint Research Centre
Created date
2020-11-23
Modified date
2020-11-23
Issued date
2013-08-29
Landing page
http://gmis.jrc.ec.europa.eu/ 
Language(s)
English
Data theme(s)
Environment
Update frequency
unknown
Identifier
http://data.europa.eu/89h/8063ad2b-9947-4288-9112-8d8fca69cf1a
Popularity