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JPL Hurricane Tool
LaRC Sub-Orbital Order Tool (SOOT)
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Pre-Proposal Support
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Mishap Preparedness and Contingency Plan
Home
> ORACLES
Associated content:
ORACLES
Sub-categories:
ORACLES Background
,
ORACLES-4
Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data
Sayer, A. M.
,
et al.
(2019),
Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data
,
Atmos. Meas. Tech., 12
, 3595-3627, doi:10.5194/amt-12-3595-2019.
Read more
about Two decades observing smoke above clouds in the south-eastern Atlantic Ocean: Deep Blue algorithm updates and validation with ORACLES field campaign data
Thumbnail for ORACLES video
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about Thumbnail for ORACLES video
Greg discussing intercomparisons
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about Greg discussing intercomparisons
Sam describes the 4STAR
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about Sam describes the 4STAR
Paquita summarizes the Paris workshop
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about Paquita summarizes the Paris workshop
Jens summarizes accomplishments
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about Jens summarizes accomplishments
ORACLES PIs at the STM
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about ORACLES PIs at the STM
ORACLES STM May 15 2019
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about ORACLES STM May 15 2019
An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks
Holben, B.
,
et al.
(2018),
An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks
,
Atmos. Chem. Phys., 18
, 655-671, doi:10.5194/acp-18-655-2018.
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about An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks
Coupled Retrieval of Liquid Water Cloud and Above-Cloud Aerosol Properties Using the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI)
Xu, F.
,
et al.
(2018),
Coupled Retrieval of Liquid Water Cloud and Above-Cloud Aerosol Properties Using the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI)
,
J. Geophys. Res., 123
, 3175-3204, doi:10.1002/2017JD027926.
Read more
about Coupled Retrieval of Liquid Water Cloud and Above-Cloud Aerosol Properties Using the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI)
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