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.
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Journal ArticleDOI
The Orbiting Carbon Observatory (OCO) mission
David Crisp,Robert Atlas,François-Marie Bréon,Linda R. Brown,John P. Burrows,P. Ciais,Brian J. Connor,Scott C. Doney,Inez Fung,Daniel J. Jacob,Charles E. Miller,D. M. O'Brien,Steven Pawson,James T. Randerson,Peter Rayner,Ross J. Salawitch,Stanley P. Sander,Bhaswar Sen,Graeme L. Stephens,Pieter P. Tans,Geoffrey C. Toon,Paul O. Wennberg,Steven C. Wofsy,Yuk L. Yung,Zhiming Kuang,B. Chudasama,G. Sprague,B. Weiss,Randy Pollock,D. Kenyon,S. Schroll +30 more
TL;DR: The Orbiting Carbon Observatory (OCO) as mentioned in this paper is the first global, space-based measurements of atmospheric carbon dioxide (CO 2 ) with the precision, resolution and coverage needed to characterize CO 2 sources and sinks on regional scales.
The Orbiting Carbon Observatory (OCO) Mission
TL;DR: The authors collected the first space-based measurements of atmospheric CO2 with the precision, resolution, and coverage needed to characterize its sources and sinks on regional scales and quantify their variability over the seasonal cycle.
Journal ArticleDOI
The ACOS CO 2 retrieval algorithm – Part 1: Description and validation against synthetic observations
Christopher W. O'Dell,B. J. Connor,Hartmut Bösch,D. M. O'Brien,Christian Frankenberg,Rebecca Castano,M. Christi,D. Eldering,Brendan Fisher,M. R. Gunson,James McDuffie,Charles E. Miller,Vijay Natraj,Fabiano Oyafuso,I. Polonsky,Mike Smyth,Thomas E. Taylor,G. C. Toon,Paul O. Wennberg,Debra Wunch +19 more
TL;DR: In this paper, the authors describe the NASA Atmospheric CO2 Observations from Space (ACOS) XCO2 retrieval algorithm and its performance on highly realistic, simulated observations, and evaluate retrieval errors in the face of realistic clouds and aerosols, polarized non-Lambertian surfaces, imperfect meteorology, and uncorrelated instrument noise.
Journal ArticleDOI
The 2009 edition of the GEISA spectroscopic database
N. Jacquinet-Husson,L. Crepeau,R. Armante,C. Boutammine,A. Chedin,N. A. Scott,C. Crevoisier,V. Capelle,C. Boone,N. Poulet-Crovisier,A. Barbe,Alain Campargue,D. Chris Benner,Yves Bénilan,Bruno Bézard,Vincent Boudon,Linda R. Brown,L. H. Coudert,Athena Coustenis,V. Dana,V. M. Devi,Sophie Fally,André Fayt,Jean-Marie Flaud,Aaron Goldman,Michel Herman,G. J. Harris,D. Jacquemart,Antoine Jolly,Isabelle Kleiner,Armin Kleinböhl,F. Kwabia-Tchana,Nina N. Lavrentieva,Nelly Lacome,Li-Hong Xu,O.M. Lyulin,J.-Y. Mandin,Arthur G. Maki,Semen Mikhailenko,Charles E. Miller,T.P. Mishina,Nasser Moazzen-Ahmadi,Holger S. P. Müller,Andrei Nikitin,Johannes Orphal,V.I. Perevalov,Agnes Perrin,Douglas T. Petkie,Adriana Predoi-Cross,Curtis P. Rinsland,John Remedios,Maud Rotger,Mary Ann H. Smith,Keeyoon Sung,S.A. Tashkun,Jonathan Tennyson,Robert A. Toth,Ann Carine Vandaele,J. Vander Auwera +58 more
TL;DR: The GEISA database as mentioned in this paper is a computer-accessible system comprising three independent sub-databases devoted, respectively, to: line parameters, infrared and ultraviolet/visible absorption cross-sections, microphysical and optical properties of atmospheric aerosols.
Journal ArticleDOI
Observing terrestrial ecosystems and the carbon cycle from space
David S. Schimel,Ryan Pavlick,Joshua B. Fisher,Gregory P. Asner,Sassan Saatchi,Philip A. Townsend,Charles E. Miller,Christian Frankenberg,Kathy Hibbard,Peter M. Cox +9 more
TL;DR: The spatial distribution of in situ data for carbon fluxes, stocks and plant traits globally is analyzed and the potential of remote sensing to observe these quantities is evaluated, with satellite observations providing the dense sampling in space and time required to characterize the heterogeneity of ecosystem structure and function.