Calibration of SeaWiFS on orbit

Barnes, Robert A.; Eplee, Robert E.; Robinson, Wayne D.; Schmidt, G. M.; Patt, Frederick S.; Bailey, Sean W.; Wang, Menghua; McClain, Charles R.

doi:10.1117/12.494258

Cited by 9 publications

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Prior to the derivation of the vicarious calibration adjustments to the prelaunch SeaWiFS calibration, sensor degradation is removed using a time series of monthly lunar images collected at about the same lunar phase angle (Barnes et aL, 1999;Barnes et aL, 2001). The lunar calibration results in a very accurate characterization of the sensor stability.…”

Section: Data Sourcesmentioning

confidence: 99%

Subtropical gyre variability observed by ocean-color satellites

McClain

Signorini

Christian

2004

Deep Sea Research Part II: Topical Studies in Oceanography

211

234

View full text Add to dashboard Cite

Section: Data Sourcesmentioning

confidence: 99%

Subtropical gyre variability observed by ocean-color satellites

McClain

Signorini

Christian

2004

Deep Sea Research Part II: Topical Studies in Oceanography

211

234

View full text Add to dashboard Cite

“…16 The sea-viewing wide field-of-view sensor (Sea-WiFS), the sole instrument on board NASA's SeaStar satellite, was designed primarily for global ocean color measurement and thus required highly accurate calibration that was maintained to an accuracy of 0.5% with stability of 0.3%. 17,18 The multiangle imaging spectroradiometer (MISR) onboard NASA's Terra satellite, an advanced earth observing sensor designed primarily to retrieve tropospheric aerosol properties, is maintained to an accuracy of 3% with stability of 1%. 19,20 Decadal variations in satellite-retrieved AOD from SeaWiFS and MISR have been examined globally and evaluated with NASA's ground-based Aerosol Robotic Network (AERONET) of sunphotometers.…”

Section: ■ Introductionmentioning

confidence: 99%

Fifteen-Year Global Time Series of Satellite-Derived Fine Particulate Matter

Boys

Martin

Donkelaar

et al. 2014

Environ. Sci. Technol.

243

130

View full text Add to dashboard Cite

Ambient fine particulate matter (PM2.5) is a leading environmental risk factor for premature mortality. We use aerosol optical depth (AOD) retrieved from two satellite instruments, MISR and SeaWiFS, to produce a unified 15-year global time series (1998-2012) of ground-level PM2.5 concentration at a resolution of 1° x 1°. The GEOS-Chem chemical transport model (CTM) is used to relate each individual AOD retrieval to ground-level PM2.5. Four broad areas showing significant, spatially coherent, annual trends are examined in detail: the Eastern U.S. (-0.39 ± 0.10 μg m(-3) yr(-1)), the Arabian Peninsula (0.81 ± 0.21 μg m(-3) yr(-1)), South Asia (0.93 ± 0.22 μg m(-3) yr(-1)) and East Asia (0.79 ± 0.27 μg m(-3) yr(-1)). Over the period of dense in situ observation (1999-2012), the linear tendency for the Eastern U.S. (-0.37 ± 0.13 μg m(-3) yr(-1)) agrees well with that from in situ measurements (-0.38 ± 0.06 μg m(-3) yr(-1)). A GEOS-Chem simulation reveals that secondary inorganic aerosols largely explain the observed PM2.5 trend over the Eastern U.S., South Asia, and East Asia, while mineral dust largely explains the observed trend over the Arabian Peninsula.

show abstract

“…SeaWiFS is the first mission on ocean-colors in the United States and internationally, which can provide a long-term record of optical properties and ocean biology for climate research (Hooker & McClain, 2000). The multi-spectral radiometer of SeaWiFS can collect data over a wide swath with a resolution of ∼1 km (McClain et al, 2004).…”

Section: Modis Misr Aatsr-su and Seawifsmentioning

confidence: 99%

Simulating and Evaluating Global Aerosol Distributions With the Online Aerosol‐Coupled CAS‐FGOALS Model

et al. 2020

View full text Add to dashboard Cite

• The inter-annual and seasonal variation of modeled aerosol optical properties are overall consistent with observations at most regions • Biases of the meteorological fields are responsible for the underestimation of Ångström Exponent over the industrial dominant regions • The seasonal variations of aerosol optical depth in the dust dominant region can be better reproduced with more realistic wind fields Accepted Article This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as

show abstract

Calibration of SeaWiFS on orbit

Cited by 9 publications

References 0 publications

Subtropical gyre variability observed by ocean-color satellites

Subtropical gyre variability observed by ocean-color satellites

Fifteen-Year Global Time Series of Satellite-Derived Fine Particulate Matter

Simulating and Evaluating Global Aerosol Distributions With the Online Aerosol‐Coupled CAS‐FGOALS Model

Contact Info

Product

Resources

About