C
Charles E. Miller
Researcher at California Institute of Technology
Publications - 263
Citations - 11829
Charles E. Miller is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Arctic & Permafrost. The author has an hindex of 50, co-authored 229 publications receiving 9593 citations. Previous affiliations of Charles E. Miller include College of William & Mary & Haverford College.
Papers
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Journal ArticleDOI
Submillimeter measurements of isotopes of nitric acid
Brian J. Drouin,Charles E. Miller,Juliane L. Fry,Douglas T. Petkie,Paul Helminger,Ivan R. Medvedev +5 more
TL;DR: In this article, the ground state rotational spectra of five isotopically substituted species of nitric acid are analyzed in the submillimeter spectral range, and the Hamiltonian parameters necessary for prediction and identification of isotopic features across the ground-state rotational spectrum are presented.
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Attribution of methane point source emissions using airborne imaging spectroscopy and the Vista-California methane infrastructure dataset
Talha Rafiq,Riley M. Duren,Andrew K. Thorpe,K. T. Foster,Risa Patarsuk,Charles E. Miller,Francesca M. Hopkins +6 more
TL;DR: In this article, the authors developed Vista-CA, a geospatial database that contains more than 900,000 validated CH4 infrastructure elements in the state of California, including gas storage facilities, hydrocarbon storage tanks, landfills, dairy lagoons, and pipeline leaks.
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Rotational spectroscopy and dipole moment of cis-cis HOONO and DOONO.
TL;DR: Improved spectroscopic constants have been determined for HOONO, and the DOONO spectrum is analyzed for the first time, consistent with a planar equilibrium structure with significant out-of-plane H atom torsional motion.
A Bayesian framework for deriving sector-based methane emissions from top-down fluxes
Daniel H. Cusworth,Daniel H. Cusworth,A. Anthony Bloom,Shuang Ma,Charles E. Miller,Kevin W. Bowman,Yi Yin,Joannes D. Maasakkers,Yuzhong Zhang,Tia R. Scarpelli,Zhen Qu,Daniel J. Jacob,John Worden +12 more
TL;DR: In this article, a Bayesian optimal estimation method was proposed to project inverse methane fluxes directly to emission sectors while accounting uncertainty structure and spatial resolution of prior fluxes and emissions, and applied this method to satellite-derived fluxes over the U.S. and at higher resolution over the Permian Basin.
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Proton Affinity of Peroxyacetyl Nitrate (PAN)
TL;DR: In this paper, the proton affinity of peroxyacetyl nitrate (PAN) has been analyzed at the CBS-Q level and it was shown that the most stable PANH+ structure is the peracetic acid-nitronium ion complex, [CH3C(O)OOH···NO2+], and yield (P PAN) = −773.4 ± 10 kJ mol-1.