Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where G. C. Toon is active.

Publication


Featured researches published by G. C. Toon.


Geophysical Research Letters | 2001

Stratospheric water vapor increases over the past half‐century

Karen H. Rosenlof; Samuel J. Oltmans; D. Kley; James M. Russell; E.‐W. Chiou; William P. Chu; D. G. Johnson; K. K. Kelly; Hope A. Michelsen; Gerald E. Nedoluha; Ellis E. Remsberg; G. C. Toon; M. P. McCormick

Ten data sets covering the period 1954–2000 are analyzed to show a 1%/yr increase in stratospheric water vapor. The trend has persisted for at least 45 years, hence is unlikely the result of a single event, but rather indicative of long-term climate change. A long-term change in the transport of water vapor into the stratosphere is the most probable cause.


Journal of Geophysical Research | 2007

Precision requirements for space-based XCO 2 data

Charles E. Miller; David Crisp; Philip L. DeCola; Seth Carlton Olsen; James T. Randerson; Anna M. Michalak; Alanood A. A. A. Alkhaled; P. J. Rayner; Daniel J. Jacob; Parvadha Suntharalingam; Dylan B. A. Jones; A. S. Denning; Melville E. Nicholls; Scott C. Doney; Steven Pawson; Hartmut Boesch; Brian J. Connor; Inez Y. Fung; Denis M. O'Brien; R. J. Salawitch; Stanley P. Sander; Bidyut K. Sen; Pieter P. Tans; G. C. Toon; Paul O. Wennberg; Steven C. Wofsy; Yuk L. Yung; R. M. Law

Precision requirements are determined for space-based column-averaged CO_2 dry air mole fraction (X_(CO)_2) data. These requirements result from an assessment of spatial and temporal gradients in (X_(CO)_2) the relationship between (X_(CO)_2) precision and surface CO_2 flux uncertainties inferred from inversions of the (X_(CO)_2) data, and the effects of (X_(CO)_2) biases on the fidelity of CO_2 flux inversions. Observational system simulation experiments and synthesis inversion modeling demonstrate that the Orbiting Carbon Observatory mission design and sampling strategy provide the means to achieve these (X_(CO)_2) data precision requirements.


Journal of Geophysical Research | 2007

Validation of the Aura Microwave Limb Sounder middle atmosphere water vapor and nitrous oxide measurements

Alyn Lambert; William G. Read; Nathaniel J. Livesey; Michelle L. Santee; G. L. Manney; L. Froidevaux; Dong L. Wu; Michael J. Schwartz; Hugh C. Pumphrey; Carlos Jiménez; Gerald E. Nedoluha; R. E. Cofield; D. T. Cuddy; W. H. Daffer; Brian J. Drouin; R. Fuller; R. F. Jarnot; B. W. Knosp; Herbert M. Pickett; V. S. Perun; W. V. Snyder; P. C. Stek; R. P. Thurstans; Paul A. Wagner; J. W. Waters; Kenneth W. Jucks; G. C. Toon; R. A. Stachnik; Peter F. Bernath; C. D. Boone

[1] The quality of the version 2.2 (v2.2) middle atmosphere water vapor and nitrous oxide measurements from the Microwave Limb Sounder (MLS) on the Earth Observing System (EOS) Aura satellite is assessed. The impacts of the various sources of systematic error are estimated by a comprehensive set of retrieval simulations. Comparisons with correlative data sets from ground-based, balloon and satellite platforms operating in the UV/visible, infrared and microwave regions of the spectrum are performed. Precision estimates are also validated, and recommendations are given on the data usage. The v2.2 H2O data have been improved over v1.5 by providing higher vertical resolution in the lower stratosphere and better precision above the stratopause. The single-profile precision is � 0.2–0.3 ppmv (4–9%), and the vertical resolution is � 3–4 km in the stratosphere. The precision and vertical resolution become worse with increasing height above the stratopause. Over the pressure range 0.1–0.01 hPa the precision degrades from 0.4 to 1.1 ppmv (6–34%), and the vertical resolution degrades to � 12–16 km. The accuracy is estimated to be 0.2–0.5 ppmv (4–11%) for the pressure range 68–0.01 hPa. The scientifically useful range of the H2O data is from 316 to 0.002 hPa, although only the 82–0.002 hPa pressure range is validated here. Substantial improvement has been achieved in the v2.2 N2O data over v1.5 by reducing a significant low bias in the stratosphere and eliminating unrealistically high biased mixing ratios in the polar regions. The single-profile precision is � 13–25 ppbv (7–38%), the vertical resolution is � 4–6 km and the accuracy is estimated to be 3–70 ppbv (9–25%) for the pressure range 100–4.6 hPa. The scientifically useful range of the N2O data is from 100 to 1 hPa.


Journal of Geophysical Research | 2008

Validation of Aura Microwave Limb Sounder stratospheric ozone measurements

L. Froidevaux; Yibo Jiang; Alyn Lambert; Nathaniel J. Livesey; William G. Read; J. W. Waters; Edward V. Browell; J. W. Hair; M. Avery; T. J. McGee; Laurence Twigg; G. K. Sumnicht; K. W. Jucks; J. J. Margitan; B. Sen; R. A. Stachnik; G. C. Toon; Peter F. Bernath; C. D. Boone; Kaley A. Walker; Mark J. Filipiak; R. S. Harwood; R. Fuller; G. L. Manney; Michael J. Schwartz; W. H. Daffer; Brian J. Drouin; R. E. Cofield; D. T. Cuddy; R. F. Jarnot

[1] The Earth Observing System (EOS) Microwave Limb Sounder (MLS) aboard the Aura satellite has provided essentially daily global measurements of ozone (O3) profiles from the upper troposphere to the upper mesosphere since August of 2004. This paper focuses on validation of the MLS stratospheric standard ozone product and its uncertainties, as obtained from the 240 GHz radiometer measurements, with a few results concerning mesospheric ozone. We compare average differences and scatter from matched MLS version 2.2 profiles and coincident ozone profiles from other satellite instruments, as well as from aircraft lidar measurements taken during Aura Validation Experiment (AVE) campaigns. Ozone comparisons are also made between MLS and balloon-borne remote and in situ sensors. We provide a detailed characterization of random and systematic uncertainties for MLS ozone. We typically find better agreement in the comparisons using MLS version 2.2 ozone than the version 1.5 data. The agreement and the MLS uncertainty estimates in the stratosphere are often of the order of 5%, with values closer to 10% (and occasionally 20%) at the lowest stratospheric altitudes, where small positive MLS biases can be found. There is very good agreement in the latitudinal distributions obtained from MLS and from coincident profiles from other satellite instruments, as well as from aircraft lidar data along the MLS track.


Geophysical Research Letters | 1996

The Atmospheric Trace Molecule Spectroscopy (ATMOS) Experiment: Deployment on the ATLAS space shuttle missions

M. R. Gunson; M. M. Abbas; M. C. Abrams; Mark Allen; Linda R. Brown; T. L. Brown; A. Y. Chang; A. Goldman; F. W. Irion; L. L. Lowes; Emmanuel Mahieu; G. L. Manney; H. A. Michelsen; Michael J. Newchurch; C. P. Rinsland; R. J. Salawitch; G. P. Stiller; G. C. Toon; Yuk L. Yung; Rodolphe Zander

The ATMOS Fourier transform spectrometer was flown for a fourth time on the Space Shuttle as part of the ATLAS-3 instrument payload in November 1994. More than 190 sunrise and sunset occultation events provided measurements of more than 30 atmospheric trace gases at latitudes 3–49°N and 65–72°S, including observations both inside and outside the Antarctic polar vortex. The instrument configuration, data retrieval methodology, and mission background are described to place in context analyses of ATMOS data presented in this issue.


Journal of Geophysical Research | 2011

Daily and 3‐hourly variability in global fire emissions and consequences for atmospheric model predictions of carbon monoxide

Mingquan Mu; James T. Randerson; G. R. van der Werf; Louis Giglio; Prasad S. Kasibhatla; Douglas C. Morton; G.J. Collatz; Ruth S. DeFries; E. J. Hyer; Elaine M. Prins; David W. T. Griffith; Debra Wunch; G. C. Toon; Vanessa Sherlock; Paul O. Wennberg

Attribution of the causes of atmospheric trace gas and aerosol variability often requires the use of high resolution time series of anthropogenic and natural emissions inventories. Here we developed an approach for representing synoptic- and diurnal-scale temporal variability in fire emissions for the Global Fire Emissions Database version 3 (GFED3). We disaggregated monthly GFED3 emissions during 2003–2009 to a daily time step using Moderate Resolution Imaging Spectroradiometer (MODIS)-derived measurements of active fires from Terra and Aqua satellites. In parallel, mean diurnal cycles were constructed from Geostationary Operational Environmental Satellite (GOES) Wildfire Automated Biomass Burning Algorithm (WF_ABBA) active fire observations. Daily variability in fires varied considerably across different biomes, with short but intense periods of daily emissions in boreal ecosystems and lower intensity (but more continuous) periods of burning in savannas. These patterns were consistent with earlier field and modeling work characterizing fire behavior dynamics in different ecosystems. On diurnal timescales, our analysis of the GOES WF_ABBA active fires indicated that fires in savannas, grasslands, and croplands occurred earlier in the day as compared to fires in nearby forests. Comparison with Total Carbon Column Observing Network (TCCON) and Measurements of Pollution in the Troposphere (MOPITT) column CO observations provided evidence that including daily variability in emissions moderately improved atmospheric model simulations, particularly during the fire season and near regions with high levels of biomass burning. The high temporal resolution estimates of fire emissions developed here may ultimately reduce uncertainties related to fire contributions to atmospheric trace gases and aerosols. Important future directions include reconciling top-down and bottom up estimates of fire radiative power and integrating burned area and active fire time series from multiple satellite sensors to improve daily emissions estimates.


Journal of Geophysical Research | 1992

Water vapor column abundance retrievals during FIFE

Carol J. Bruegge; James E. Conel; Robert O. Green; Jack S. Margolis; Ronald G. Holm; G. C. Toon

A variation of the modified Langley plot algorithm is reported here and applied to the retrieval of atmospheric water column abundance from a filtered sunphotometer. In this new methodology an absorption data base (LOWTRAN 7) is used to compute a water abundance versus transmittance curve of growth, rather than the square-root dependence previously assumed. Validation of the technique is provided from an uncertainty analysis, and plans to further validate using Fourier transform spectrometers are detailed. The new sunphotometer technique is used to report total column water vapor during the First ISLSCP Field Experiment (FIFE), and comparisons are made with abundances retrieved via FIFE radiosonde observations. The sunphotometer data can best be utilized, however, to in turn validate data from airborne or in-orbit measurements of water vapor. With these flight sensors, horizontal and topographic variability within the scene can be viewed. An example of the airborne data set is given using an image from the airborne visible infrared imaging spectrometer (AVIRIS), as acquired on August 31, 1990.


Journal of Geophysical Research | 1996

Validation of nitric oxide and nitrogen dioxide measurements made by the Halogen Occultation Experiment for UARS platform

Larry L. Gordley; James M. Russell; L. J. Mickley; J. E. Frederick; J. H. Park; K. A. Stone; G. M. Beaver; J. M. McInerney; L. E. Deaver; G. C. Toon; F. J. Murcray; R. D. Blatherwick; M. R. Gunson; J. P. D. Abbatt; R. L. Mauldin; G. H. Mount; B. Sen; J.-F. Blavier

The Halogen Occultation Experiment (HALOE) experiment on Upper Atmosphere Research Satellite (UARS) performs solar occultation (sunrise and sunset) measurements to infer the composition and structure of the stratosphere and mesosphere. Two of the HALOE channels, centered at 5.26 μm and 6.25 μm, are designed to infer concentrations of nitric oxide and nitrogen dioxide respectively. The NO measurements extend from the lower stratosphere up to 130 km, while the NO 2 results typically range from the lower stratosphere to 50 km and higher near the winter terminator. Comparison with results from various instruments are presented, including satellite-, balloon-, and ground-based measurements. Both NO and NO 2 can show large percentage errors in the presence of heavy aerosol concenuations, confined to below 25 km and before 1993. The NO 2 measurements show mean differences with correlative measurements of about 10 to 15% over the middle stratosphere. The NO 2 precision is about 7.5×10 -13 atm, degrading to 2×10 -12 atm in the lower stratosphere. The NO differences are similar in the middle stratosphere but sometimes show a low bias (as much as 35%) between 30 and 60 km with some correlative measurements. NO precision when expressed in units of density is nearly constant at 1×10 -12 atmospheres, or approximately 0.1 ppbv at 10.0 mb or, 1.0 ppbv at 1.0 mb, and so forth when expressed in mixing ratio. Above 65 km, agreement in the mean with Atmospheric Trace Molecule Spectroscopy (ATMOS) NO results is very good, typically ±15%. Model comparisons are also presented, showing good agreement with both expected morphology and diurnal behavior for both NO 2 and NO.


Journal of Geophysical Research | 2007

Validation of the Aura Microwave Limb Sounder ClO measurements

Michelle L. Santee; Alyn Lambert; William G. Read; Nathaniel J. Livesey; G. L. Manney; R. E. Cofield; D. T. Cuddy; W. H. Daffer; Brian J. Drouin; L. Froidevaux; R. Fuller; R. F. Jarnot; B. W. Knosp; V. S. Perun; W. V. Snyder; P. C. Stek; R. P. Thurstans; Paul A. Wagner; J. W. Waters; Brian J. Connor; Jakub Urban; Donal P. Murtagh; Philippe Ricaud; B. Barret; Armin Kleinböhl; Jayanarayanan Kuttippurath; H. Küllmann; M. von Hobe; G. C. Toon; R. A. Stachnik

We assess the quality of the version 2.2 (v2.2) ClO measurements from the Microwave Limb Sounder (MLS) on the Earth Observing System Aura satellite. The MLS v2.2 ClO data are scientifically useful over the range 100 to 1 hPa, with a single- profile precision of similar to 0.1 ppbv throughout most of the vertical domain. Vertical resolution is similar to 3-4 km. Comparisons with climatology and correlative measurements from a variety of different platforms indicate that both the amplitude and the altitude of the peak in the ClO profile in the upper stratosphere are well determined by MLS. The latitudinal and seasonal variations in the ClO distribution in the lower stratosphere are also well determined, but a substantial negative bias is present in both daytime and nighttime mixing ratios at retrieval levels below (i. e., pressures larger than) 22 hPa. Outside of the winter polar vortices, this negative bias can be eliminated by subtracting gridded or zonal mean nighttime values from the individual daytime measurements. In studies for which knowledge of lower stratospheric ClO mixing ratios inside the winter polar vortices to better than a few tenths of a ppbv is needed, however, day - night differences are not recommended and the negative bias must be corrected for by subtracting the estimated value of the bias from the individual measurements at each affected retrieval level.


Journal of Geophysical Research | 1999

Comparison of MkIV balloon and ER‐2 aircraft measurements of atmospheric trace gases

G. C. Toon; J.-F. Blavier; B. Sen; J. J. Margitan; C. R. Webster; Randy D. May; D. W. Fahey; R. S. Gao; L. A. Del Negro; M. H. Proffitt; J. W. Elkins; P. A. Romashkin; D. F. Hurst; S. J. Oltmans; Elliot Atlas; S. Schauffler; F. Flocke; T. P. Bui; R. M. Stimpfle; G. P. Bonne; P. B. Voss; R. C. Cohen

On May 8, 1997, vertical profiles of over 30 different gases were measured remotely in solar occultation by the Jet Propulsion Laboratory MkIV Interferometer during a balloon flight launched from Fairbanks, Alaska. These gases included H 2 O, N 2 O, CH 4 , CO, NO x , NO y , HCI, ClNO 3 , CCl 2 F 2 , CCl 3 F, CCl 4 , CHClF 2 , CClF 2 CCl 2 F, SF 6 , CH 3 Cl, and C 2 H 6 , all of which were also measured in situ by instruments on board the NASA ER-2 aircraft, which was making flights from Fairbanks during this same early May time period as part of the Photochemistry of Ozone Loss in the Arctic Region in Summer (POLARIS) experiment. A comparison of the gas volume mixing ratios in the upper troposphere and lower stratosphere reveals agreement better than 5% for most gases. The three significant exceptions to this are SF 6 and CCl 4 for which the remote measurements exceed the in situ observations by 15-20% at all altitudes, and H 2 O for which the remote measurements are up to 30% smaller than the in situ observations near the hygropause.

Collaboration


Dive into the G. C. Toon's collaboration.

Top Co-Authors

Avatar

B. Sen

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Paul O. Wennberg

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

J.-F. Blavier

Jet Propulsion Laboratory

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

M. R. Gunson

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

J. J. Margitan

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

C. R. Webster

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

C. D. Boone

University of Waterloo

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge