Colleen Mouw

Dr. Colleen Mouw

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2015 in Remote Sensing of Environment
Verified
Journal Article
Closed access
CMColleen Mouw
Colleen Mouw
SGSteven Greb
Steven Greb
DADirk Aurin
Dirk Aurin
PDPaul M. DiGiacomo
Paul M. DiGiacomo
ZLZhongping Lee
Zhongping Lee
SCSusanne Elizabeth Craig
Susanne Elizabeth Craig

21 February 2017 in Frontiers in Marine Science
Verified
Journal Article
Open access
CMColleen Mouw
Colleen Mouw
NHNick J. Hardman-Mountford
Nick J. Hardman-Mountford
SASéverine Alvain
Séverine Alvain
ABAstrid Bracher
Astrid Bracher
Robert BrewinRobert Brewin
Robert Brewin
JUJulia Uitz
Julia Uitz
Phytoplankton are composed of diverse taxonomical groups, which are manifested as distinct morphology, size and pigment composition. These characteristics, modulated by their physiological state, impact their light absorption and scattering, allowing them to be detected with ocean color satellite radiometry. There is a growing volume of literature describing satellite algorithms to retrieve information on phytoplankton composition in the ocean. This synthesis provides a review of current methods and a simplified comparison of approaches. The aim is to provide an easily comprehensible resource for non-algorithm developers, who desire to use these products, thereby raising the level of awareness and use of these products and reducing the boundary of expert knowledge needed to make a pragmatic selection of output products with confidence. The satellite input and output products, their associated validation metrics, as well as assumptions, strengths and limitations of the various algorithm types are described, providing a framework for algorithm organization to assist users and inspire new aspects of algorithm development capable of exploiting the higher spectral, spatial and temporal resolutions from the next generation of ocean color satellites.

29 October 2016 in Global Biogeochemical Cycles
Verified
Journal Article
Closed access
PDF file
CMColleen Mouw
Colleen Mouw
ABAudrey Barnett
Audrey Barnett
GMGalen A. McKinley
Galen A. McKinley
LGLucas Gloege
Lucas Gloege
DPDarren Pilcher
Darren Pilcher

26 January 2018 in Global Ecology and Biogeography
Verified
Journal Article
Closed access
PDF file
KFKevin D. Friedland
Kevin D. Friedland
CMColleen Mouw
Colleen Mouw
RARebecca G. Asch
Rebecca G. Asch
AFA. Sofia A. Ferreira
A. Sofia A. Ferreira
SHStephanie Henson
Stephanie Henson
DBDamian C. Brady
Damian C. Brady

7 December 2010 in Journal of Geophysical Research: Oceans
Verified
Journal Article
Closed access
PDF file
CMColleen Mouw
Colleen Mouw
JYJames A. Yoder
James A. Yoder

20 October 2016 in Earth System Science Data
Verified
Journal Article
Open access
PDF file
CMColleen Mouw
Colleen Mouw
ABAudrey Barnett
Audrey Barnett
GMGalen A. McKinley
Galen A. McKinley
LGLucas Gloege
Lucas Gloege
DPDarren Pilcher
Darren Pilcher
Particulate organic carbon (POC) flux estimated from POC concentration observations from sediment traps and 234Th are compiled across the global ocean. The compilation includes six time series locations: CARIACO, K2, OSP, BATS, OFP, and HOT. Efficiency of the biological pump of carbon to the deep ocean depends largely on biologically mediated export of carbon from the surface ocean and its remineralization with depth; thus biologically related parameters able to be estimated from satellite observations were merged at the POC observation sites. Satellite parameters include net primary production, percent microplankton, sea surface temperature, photosynthetically active radiation, diffuse attenuation coefficient at 490 nm, euphotic zone depth, and climatological mixed layer depth. Of the observations across the globe, 85 % are concentrated in the Northern Hemisphere with 44 % of the data record overlapping the satellite record. Time series sites accounted for 36 % of the data, while 71 % of the data are measured at ≥ 500 m with the most common deployment depths between 1000 and 1500 m. This data set is valuable for investigations of CO2 drawdown, carbon export, remineralization, and sequestration. The compiled data can be freely accessed at doi:10.1594/PANGAEA.855600.