Gregory Ben Osterman
Jet Propulsion Laboratory
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Featured researches published by Gregory Ben Osterman.
Applied Optics | 2002
F. W. Irion; M. R. Gunson; G. C. Toon; Albert Y. Chang; Annmarie Eldering; Emmanuel Mahieu; G. L. Manney; Hope A. Michelsen; Elizabeth J. Moyer; Michael J. Newchurch; Gregory Ben Osterman; C. P. Rinsland; R. J. Salawitch; B. Sen; Yuk L. Yung; Rodolphe Zander
Version 3 of the Atmospheric Trace Molecule Spectroscopy (ATMOS) experiment data set for some 30 trace and minor gas profiles is available. From the IR solar-absorption spectra measured during four Space Shuttle missions (in 1985, 1992, 1993, and 1994), profiles from more than 350 occultations were retrieved from the upper troposphere to the lower mesosphere. Previous results were unreliable for tropospheric retrievals, but with a new global-fitting algorithm profiles are reliably returned down to altitudes as low as 6.5 km (clouds permitting) and include notably improved retrievals of H2O, CO, and other species. Results for stratospheric water are more consistent across the ATMOS spectral filters and do not indicate a net consumption of H2 in the upper stratosphere. A new sulfuric-acid aerosol product is described. An overview of ATMOS Version 3 processing is presented with a discussion of estimated uncertainties. Differences between these Version 3 and previously reported Version 2 ATMOS results are discussed. Retrievals are available at http://atmos.jpl.nasa.gov/atmos.
Geophysical Research Letters | 1998
Kenneth W. Jucks; David G. Johnson; Kelly Chance; Wesley A. Traub; J. J. Margitan; Gregory Ben Osterman; R. J. Salawitch; Yasuhiro Sasano
Balloon-borne observations of concentrations of OH, HO2, H2O, and O3 in the middle and upper stratosphere are used to test our understanding of HOx photochemistry. Assuming our photochemical model is complete, the measured [OH] and [HO2] above 38 km (where HOx partitioning is no longer dependent on [NO]) are modeled best by calculations that use a 25% reduction in the ratio of the reaction rate constants for O+HO2 and O+OH as well as either a 25% reduction of the rate constant of OH+HO2 (the primary HOx sink) or a 25% increase in HOx production. All of these changes are consistent with the uncertainties in the recommended rate constants. The kinetic parameters required to explain our observations of [OH] and [HO2] do not lead to a resolution of the long-standing “ozone deficit problem” above 45 km.
IEEE Transactions on Geoscience and Remote Sensing | 2006
Shepard A. Clough; Mark W. Shephard; John M. Worden; Patrick D. Brown; Helen M. Worden; M. Luo; C. D. Rodgers; C. P. Rinsland; Aaron Goldman; Linda R. Brown; S. S. Kulawik; Annmarie Eldering; Michael Lampel; Gregory Ben Osterman; Reinhard Beer; Kevin W. Bowman; Karen E. Cady-Pereira; Eli J. Mlawer
The Tropospheric Emission Spectrometer (TES) is a high-resolution spaceborne sensor that is capable of observing tropospheric species. In order to exploit fully TESs potential for tropospheric constituent retrievals, an accurate and fast operational forward model was developed for TES. The forward model is an important component of the TES retrieval model, the Earth Limb and Nadir Operational Retrieval (ELANOR), as it governs the accuracy and speed of the calculations for the retrievals. In order to achieve the necessary accuracy and computational efficiency, TES adopted the strategy of utilizing precalculated absorption coefficients generated by the line-by-line calculations provided by line-by-line radiation transfer modeling. The decision to perform the radiative transfer with the highest monochromatic accuracy attainable, rather than with an accelerated scheme that has the potential to add algorithmic forward model error, has proven to be very successful for TES retrievals. A detailed description of the TES forward model and Jacobians is described. A preliminary TES observation is provided as an example to demonstrate that the TES forward model calculations represent TES observations. Also presented is a validation example, which is part of the extensive forward model validation effort.
IEEE Transactions on Geoscience and Remote Sensing | 2006
S. S. Kulawik; Gregory Ben Osterman; Dylan B. A. Jones; Kevin W. Bowman
A key component in the regularization of vertical atmospheric trace gas retrievals is the construction of constraint matrices. We introduce a novel method for developing a constraint matrix based on altitude-varying combinations of zeroth-, first-, and second-order derivatives of the trace gas profile. This constraint matrix can be optimized to minimize the diagonal a posteriori error covariance and can also consider other factors such as degrees of freedom. This approach is applied to the calculation of constraint matrices for Tropospheric Emission Spectrometer nadir retrievals of atmospheric temperature, H/sub 2/O, O/sub 3/, CO, and CH/sub 4/. The retrieval error achieved with these constraints is comparable to the error achieved with the classical Bayesian constraint. Furthermore, these constraints are shown to be robust under uncertainty in the climatological conditions.
2014 AGU Fall Meeting | 2014
Jessica Neu; Gregory Ben Osterman; Annmarie Eldering; Robert W. Pinder; Jeff McQueen; Youhua Tang
Most regional scale models that are used for air quality forecasts and ozone source attribution do not adequately capture the distribution of ozone in the mid- and upper troposphere, but it is unclear how this shortcoming relates to their ability to simulate surface ozone. We combine ozone profile data from the NASA Earth Observing System (EOS) Tropospheric Emission Spectrometer (TES) and a new joint product from TES and the Ozone Monitoring Instrument along with ozonesonde measurements and EPA AirNow ground station ozone data to examine air quality events during August 2006 in the Community Multi-Scale Air Quality (CMAQ) and National Air Quality Forecast Capability (NAQFC) models. We present both aggregated statistics and case-study analyses with the goal of assessing the relationship between the models’ ability to reproduce surface air quality events and their ability to capture the vertical distribution of ozone. We find that the models lack the mid-tropospheric ozone variability seen in TES and the ozonesonde data, and discuss future work to determine the conditions under which this variability appears to be important for surface air quality.
IEEE Transactions on Geoscience and Remote Sensing | 2006
Kevin West Bowman; C. D. Rodgers; S. S. Kulawik; John M. Worden; Edwin Sarkissian; Gregory Ben Osterman; Tilman Steck; Ming Lou; Annmarie Eldering; Mark W. Shephard; Helen M. Worden; Michael Lampel; Shepard A. Clough; Patrick D. Brown; C. P. Rinsland; M. R. Gunson; Reinhard Beer
Journal of Geophysical Research | 2008
Ray Nassar; Jennifer A. Logan; Helen M. Worden; Inna A. Megretskaia; Kevin West Bowman; Gregory Ben Osterman; Anne M. Thompson; David W. Tarasick; Shermane Austin; H. Claude; Manvendra K. Dubey; W. K. Hocking; Bryan J. Johnson; Everette Joseph; John T. Merrill; Gary A. Morris; Mike Newchurch; Samuel J. Oltmans; Françoise Posny; Francis J. Schmidlin; H. Vömel; David N. Whiteman; Jacquelyn C. Witte
Journal of Geophysical Research | 2006
John R. Worden; Kevin West Bowman; David Noone; Reinhard Beer; Shepard A. Clough; Annmarie Eldering; Brendan Michael Fisher; Aaron Goldman; M. R. Gunson; R. L. Herman; S. S. Kulawik; Michael Lampel; Ming Luo; Gregory Ben Osterman; C. P. Rinsland; C. D. Rodgers; Stanley P. Sander; Mark W. Shephard; Helen Marie Worden
IEEE Transactions on Geoscience and Remote Sensing | 2006
S. S. Kulawik; Helen Marie Worden; Gregory Ben Osterman; Ming Luo; Reinhard Beer; Douglas E. Kinnison; Kevin W. Bowman; John M. Worden; Annmarie Eldering; Michael Lampel; Tilman Steck; C. D. Rodgers
Journal of Geophysical Research | 2008
Mark W. Shephard; R. L. Herman; Brendan Michael Fisher; Karen E. Cady-Pereira; Shepard A. Clough; Vivienne H. Payne; David N. Whiteman; Joseph Comer; H. Vömel; Larry M. Miloshevich; Ricardo Forno; Mariana Adam; Gregory Ben Osterman; Annmarie Eldering; John R. Worden; Linda R. Brown; Helen Marie Worden; S. S. Kulawik; David M. Rider; Aaron Goldman; Reinhard Beer; Kevin West Bowman; C. D. Rodgers; M. Luo; C. P. Rinsland; Michael Lampel; M. R. Gunson