David D. Kuhl, Ph.D. - Publications

Affiliations: 
2009 Atmospheric and Oceanic Sciences University of Maryland, College Park, College Park, MD 
Area:
Atmospheric Sciences, Atmospheric Chemistry, Remote Sensing

8 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Allen DR, Hoppel KW, Kuhl DD. Hybrid ensemble 4DVar assimilation of stratospheric ozone using a global shallow water model Atmospheric Chemistry and Physics. 16: 8193-8204. DOI: 10.5194/Acp-16-8193-2016  0.36
2016 Frolov S, Bishop CH, Holt T, Cummings J, Kuhl D. Facilitating strongly coupled ocean-atmosphere data assimilation with an interface solver Monthly Weather Review. 144: 3-20. DOI: 10.1175/Mwr-D-15-0041.1  0.36
2015 Allen DR, Hoppel KW, Kuhl DD. Wind extraction potential from ensemble Kalman filter assimilation of stratospheric ozone using a global shallow water model Atmospheric Chemistry and Physics. 15: 5835-5850. DOI: 10.5194/Acp-15-5835-2015  0.36
2014 Allen DR, Hoppel KW, Kuhl DD. Wind extraction potential from 4D-Var assimilation of stratospheric O 3, N2O, and H2O using a global shallow water model Atmospheric Chemistry and Physics. 14: 3347-3360. DOI: 10.5194/Acp-14-3347-2014  0.36
2013 Allen DR, Hoppel KW, Nedoluha GE, Kuhl DD, Baker NL, Xu L, Rosmond TE. Limitations of wind extraction from 4D-Var assimilation of ozone Atmospheric Chemistry and Physics. 13: 3501-3515. DOI: 10.5194/Acp-13-3501-2013  0.36
2013 Kuhl DD, Rosmond TE, Bishop CH, Mclay J, Baker NL. Comparison of hybrid ensemble/4DVar and 4DVar within the NAVDAS-AR data assimilation framework Monthly Weather Review. 141: 2740-2758. DOI: 10.1175/Mwr-D-12-00182.1  0.36
2011 Aravéquia JA, Szunyogh I, Fertig EJ, Kalnay E, Kuhl D, Kostelich EJ. Evaluation of a strategy for the assimilation of satellite radiance observations with the local ensemble transform Kalman filter Monthly Weather Review. 139: 1932-1951. DOI: 10.1175/2010Mwr3515.1  0.36
2007 Kuhl D, Szunyogh I, Kostelich EJ, Gyarmati G, Patil DJ, Oczkowski M, Hunt BR, Kalnay E, Ott E, Yorke JA. Assessing predictability with a local ensemble Kalman filter Journal of the Atmospheric Sciences. 64: 1116-1140. DOI: 10.1175/Jas3885.1  0.36
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