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Geoffrey C. Toon

Researcher at California Institute of Technology

Publications -  150
Citations -  8406

Geoffrey C. Toon is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Stratosphere & Total Carbon Column Observing Network. The author has an hindex of 44, co-authored 150 publications receiving 7433 citations. Previous affiliations of Geoffrey C. Toon include Jet Propulsion Laboratory.

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The Total Carbon Column Observing Network

TL;DR: The TCCON provides a link between satellite measurements and the extensive ground-based in situ network and achieves an accuracy and precision in total column measurements that is unprecedented for remote-sensing observations.
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New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity

TL;DR: In this paper, the authors show that global spaceborne observations of solar induced chlorophyll fluorescence exhibited a strong linear correlation with gross primary production (GPP) and showed that the fluorescence emission even without any additional climatic or model information has the same or better predictive skill in estimating GPP as those derived from traditional remotely-sensed vegetation indices using ancillary data and model assumptions.
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Calibration of the Total Carbon Column Observing Network using aircraft profile data

TL;DR: In this paper, the authors present a calibration of TCCON data using WMO-scale in-strumentation aboard aircraft that measured profiles over four Total Carbon Column Observing Network (TCCON) stations.
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Process-evaluation of tropospheric humidity simulated by general circulation models using water vapor isotopologues: 1. Comparison between models and observations

TL;DR: In this paper, a large number of isotopic data sets (four satellite, sixteen ground-based remote-sensing, five surface in situ and three aircraft data sets) are analyzed to determine how H2O and HDO measurements in water vapor can be used to detect and diagnose biases in the representation of processes controlling tropospheric humidity in atmospheric general circulation models (GCMs).