Zobrazeno 1 - 10
of 520
pro vyhledávání: '"K. W. Hoppel"'
Publikováno v:
Atmospheric Chemistry and Physics, Vol 18, Pp 2999-3026 (2018)
Extraction of wind and temperature information from stratospheric ozone assimilation is examined within the context of the Navy Global Environmental Model (NAVGEM) hybrid 4-D variational assimilation (4D-Var) data assimilation (DA) system. Ozone ca
Externí odkaz:
https://doaj.org/article/029e04467dae4a2e8c96a99901029a11
Autor:
D. Hubert, J.-C. Lambert, T. Verhoelst, J. Granville, A. Keppens, J.-L. Baray, A. E. Bourassa, U. Cortesi, D. A. Degenstein, L. Froidevaux, S. Godin-Beekmann, K. W. Hoppel, B. J. Johnson, E. Kyrölä, T. Leblanc, G. Lichtenberg, M. Marchand, C. T. McElroy, D. Murtagh, H. Nakane, T. Portafaix, R. Querel, J. M. Russell III, J. Salvador, H. G. J. Smit, K. Stebel, W. Steinbrecht, K. B. Strawbridge, R. Stübi, D. P. J. Swart, G. Taha, D. W. Tarasick, A. M. Thompson, J. Urban, J. A. E. van Gijsel, R. Van Malderen, P. von der Gathen, K. A. Walker, E. Wolfram, J. M. Zawodny
Publikováno v:
Atmospheric Measurement Techniques, Vol 9, Iss 6, Pp 2497-2534 (2016)
The ozone profile records of a large number of limb and occultation satellite instruments are widely used to address several key questions in ozone research. Further progress in some domains depends on a more detailed understanding of these data sets
Externí odkaz:
https://doaj.org/article/6e490fb4403d43d1a653db1dfcf92913
Publikováno v:
Atmospheric Chemistry and Physics, Vol 15, Iss 10, Pp 5835-5850 (2015)
The feasibility of extracting wind information from stratospheric ozone observations is tested using ensemble Kalman filter (EnKF) data assimilation (DA) and a global shallow water model that includes advection of an ozone-like tracer. Simulated obse
Externí odkaz:
https://doaj.org/article/1afd327733024884b0304f924f0322e3
Publikováno v:
Atmospheric Chemistry and Physics, Vol 14, Iss 7, Pp 3347-3360 (2014)
The wind extraction due to assimilation of stratospheric trace gas (tracer) data is examined using a 4D-Var (four-dimensional variational) data assimilation system based on the shallow water equations coupled to the tracer continuity equation. The pr
Externí odkaz:
https://doaj.org/article/be2194643afe487cac7d18291cab426c
Publikováno v:
Atmospheric Chemistry and Physics, Vol 13, Iss 6, Pp 3501-3515 (2013)
Time-dependent variational data assimilation allows the possibility of extracting wind information from observations of ozone or other trace gases. Since trace gas observations are not available at sufficient resolution for deriving feature-track win
Externí odkaz:
https://doaj.org/article/17759d203d6943cdb97d7f0d2a2ac137
Publikováno v:
Atmospheric Chemistry and Physics, Vol 8, Iss 24, Pp 7519-7532 (2008)
This paper describes CHEM2D-H2O, a new parameterization of H2O photochemical production and loss based on the CHEM2D photochemical-transport model of the middle atmosphere. This parameterization accounts for the altitude, latitude, and seasonal varia
Externí odkaz:
https://doaj.org/article/9318c291b3fa4c70b236407f4c197999
Autor:
K. W. Hoppel, N. L. Baker, L. Coy, S. D. Eckermann, J. P. McCormack, G. E. Nedoluha, D. E. Siskind
Publikováno v:
Atmospheric Chemistry and Physics, Vol 8, Iss 20, Pp 6103-6116 (2008)
The forecast model and three-dimensional variational data assimilation components of the Navy Operational Global Atmospheric Prediction System (NOGAPS) have each been extended into the upper stratosphere and mesosphere to form an Advanced Level Physi
Externí odkaz:
https://doaj.org/article/910379c0be3c4f20a9321d8d7b4464e5
Autor:
C. S. Singleton, C. E. Randall, M. P. Chipperfield, S. Davies, W. Feng, R. M. Bevilacqua, K. W. Hoppel, M. D. Fromm, G. L. Manney, V. L. Harvey
Publikováno v:
Atmospheric Chemistry and Physics, Vol 5, Iss 3, Pp 597-609 (2005)
The SLIMCAT three-dimensional chemical transport model (CTM) is used to infer chemical ozone loss from Polar Ozone and Aerosol Measurement (POAM) III observations of stratospheric ozone during the Arctic winter of 2002-2003. Inferring chemical ozone
Externí odkaz:
https://doaj.org/article/2537063c11db4c53b2c2da5ea57a3ee0
Autor:
David D. Kuhl, G. E. Nedoluha, T. E. Rosmond, D. R. Allen, Liang Xu, Nancy L. Baker, K. W. Hoppel
Time-dependent variational data assimilation allows the possibility of extracting wind information from observations of long-lived trace gases. Since trace gas observations are not available at sufficient resolution for deriving feature-track winds,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce3b5e261fba7c5519cd74e2c2c7e93e
https://doi.org/10.5194/acpd-12-32985-2012
https://doi.org/10.5194/acpd-12-32985-2012