Found 25 results
Filters: Keyword is Data assimilation  [Clear All Filters]
Heimbach P., Fukumori I., Hills C.N, Ponte R.M, Stammer D., Wunsch C., Campin J.M, Cornuelle B., Fenty I., Forget G. et al..  2019.  Putting it all together: Adding value to the global ocean and climate observing systems with complete self-consistent ocean state and parameter estimates. Frontiers in Marine Science. 6
Moore A.M, Martini M.J, Akella S., Arango H.G, Balmaseda M., Bertino L., Ciavatta S., Cornuelle B., Cummings J., Frolov S. et al..  2019.  Synthesis of ocean observations using data assimilation for operational, real-time and reanalysis systems: A more complete picture of the state of the ocean. Frontiers in Marine Science. 6
Le Quere C, Andrew R.M, Friedlingstein P., Sitch S., Hauck J., Pongratz J., Pickers P.A, Korsbakken J.I, Peters G.P, Canadell J.G et al..  2018.  Global Carbon Budget 2018. Earth System Science Data. 10:2141-2194.
Wang J., Breen D., Akinin A., Broccard F., Abarbanel H.DI, Cauwenberghs G..  2017.  Assimilation of biophysical neuronal dynamics in neuromorphic VLSI. 11:1258-1270.
Orsi A.J, Kawamura K, Masson-Delmotte V., Fettweis X., Box JE, Dahl-Jensen D., Clow G.D, Landais A., Severinghaus JP.  2017.  The recent warming trend in North Greenland. Geophysical Research Letters. 44:6235-6243.
Giglio D., Gille ST, Subramanian AC, Nguyen S..  2017.  The role of wind gusts in upper ocean diurnal variability. Journal of Geophysical Research-Oceans. 122:7751-7764.
Kadakia N., Rey D., Ye J., Abarbanel H.DI.  2017.  Symplectic structure of statistical variational data assimilation. Quarterly Journal of the Royal Meteorological Society. 143:756-771.
Kadakia N., Armstrong E., Breen D., Morone U., Daou A., Margoliash D., Abarbanel H.DI.  2016.  Nonlinear statistical data assimilation for HVCRA neurons in the avian song system. Biological Cybernetics. 110:417-434.
Schumann-Bischoff J., Parlitz U., Abarbanel H.DI, Kostuk M., Rey D., Eldridge M., Luther S..  2015.  Basin structure of optimization based state and parameter estimation. Chaos. 25
Jacques A.A, Horel J.D, Crosman E.T, Vernon FL.  2015.  Central and Eastern US surface pressure variations derived from the USArray Network. Monthly Weather Review. 143:1472-1493.
Rudnick D.L, Gopalakrishnan G, Cornuelle BD.  2015.  Cyclonic eddies in the Gulf of Mexico: Observations by underwater gliders and simulations by numerical model. Journal of Physical Oceanography. 45:313-326.
Edwards C.A, Moore A.M, Hoteit I., Cornuelle BD.  2015.  Regional ocean data assimilation. Annual Review of Marine Science, Vol 7. 7:21-42.
Ye J.X, Rey D., Kadakia N., Eldridge M., Morone U.I, Rozdeba P., Abarbanel H.DI, Quinn J.C.  2015.  Systematic variational method for statistical nonlinear state and parameter estimation. Physical Review E. 92
Rey D., Eldridge M., Kostuk M., Abarbanel H.DI, Schumann-Bischoff J., Parlitz U..  2014.  Accurate state and parameter estimation in nonlinear systems with sparse observations. Physics Letters A. 378:869-873.
Neff W., Compo G.P, Ralph FM, Shupe M.D.  2014.  Continental heat anomalies and the extreme melting of the Greenland ice surface in 2012 and 1889. Journal of Geophysical Research-Atmospheres. 119:6520-6536.
Knowlton C., Meliza C.D, Margoliash D., Abarbanel H.DI.  2014.  Dynamical estimation of neuron and network properties III: network analysis using neuron spike times. Biological Cybernetics. 108:261-273.
Meliza C.D, Kostuk M., Huang H., Nogaret A., Margoliash D., Abarbanel H.DI.  2014.  Estimating parameters and predicting membrane voltages with conductance-based neuron models. Biological Cybernetics. 108:495-516.
Perez R.C, Hormann V., Lumpkin R, Brandt P., Johns W.E, Hernandez F., Schmid C., Bourles B..  2014.  Mean meridional currents in the central and eastern equatorial Atlantic. Climate Dynamics. 43:2943-2962.
Yoshimura K, Miyoshi T., Kanamitsu M.  2014.  Observation system simulation experiments using water vapor isotope information. Journal of Geophysical Research-Atmospheres. 119
Hollt T., Magdy A., Zhan P., Chen G.N, Gopalakrishnan G, Hoteit I., Hansen C.D, Hadwiger M..  2014.  Ovis: A framework for visual analysis of ocean forecast ensembles. Ieee Transactions on Visualization and Computer Graphics. 20:1114-1126.
Liu L., Peng S.Q, Wang J.B, Huang R.X.  2014.  Retrieving density and velocity fields of the ocean's interior from surface data. Journal of Geophysical Research-Oceans. 119:8512-8529.
Seo H, Xie SP.  2013.  Impact of ocean warm layer thickness on the intensity of hurricane Katrina in a regional coupled model. Meteorology and Atmospheric Physics. 122:19-32.
Yoshimura K, Kanamitsu M.  2013.  Incremental correction for the dynamical downscaling of ensemble mean atmospheric fields. Monthly Weather Review. 141:3087-3101.
Lee I.H, Ko D.S, Wang Y.H, Centurioni L, Wang D.P.  2013.  The mesoscale eddies and Kuroshio transport in the western North Pacific east of Taiwan from 8-year (2003-2010) model reanalysis. Ocean Dynamics. 63:1027-1040.
Hoteit I., Hoar T., Gopalakrishnan G, Collins N., Anderson J., Cornuelle B., Kohl A., Heimbach P..  2013.  A MITgcm/DART ensemble analysis and prediction system with application to the Gulf of Mexico. Dynamics of Atmospheres and Oceans. 63:1-23.