{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T19:21:21Z","timestamp":1775503281760,"version":"3.50.1"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T00:00:00Z","timestamp":1672963200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T00:00:00Z","timestamp":1672963200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Rotor Aerodynamics Key Laboratory Research Funding","award":["RAL20200203-1"],"award-info":[{"award-number":["RAL20200203-1"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Vis"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s12650-022-00906-y","type":"journal-article","created":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T16:09:04Z","timestamp":1673021344000},"page":"815-839","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Data assimilation of rotor flow at hovering state using ensemble Kalman filter"],"prefix":"10.1007","volume":"26","author":[{"given":"Tongxin","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7953-9380","authenticated-orcid":false,"given":"Chuangxin","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingzheng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,1,6]]},"reference":[{"key":"906_CR1","first-page":"203","volume-title":"Particle image velocimetry","author":"RJ Adrian","year":"2011","unstructured":"Adrian RJ, Westerweel J (2011) Particle image velocimetry. Cambridge University Press, Cambridge, pp 203\u2013214"},{"issue":"4","key":"906_CR2","doi-asserted-by":"publisher","DOI":"10.1115\/1.3124648","volume":"62","author":"G Alfonsi","year":"2009","unstructured":"Alfonsi G (2009) Reynolds-averaged Navier\u2013Stokes equations for turbulence modeling. Appl Mech Rev 62(4):040802","journal-title":"Appl Mech Rev"},{"key":"906_CR3","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s13272-019-00389-y","volume":"11","author":"DR Andrea","year":"2020","unstructured":"Andrea DR, Marco P, Jernej D, d\u2019Ippolito R (2020) Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties. CEAS Aeronaut J 11:33\u201347","journal-title":"CEAS Aeronaut J"},{"key":"906_CR32","unstructured":"ANSYS-CFX-HELP Release 17.0. http:\/\/www.ANSYS.com. Accessed 2016"},{"issue":"3","key":"906_CR4","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1260\/1756-8293.7.3.231","volume":"7","author":"M Benedict","year":"2015","unstructured":"Benedict M, Winslow J, Hasnain Z, Chopra I (2015) Experimental investigation of micro air vehicle scale helicopter rotor in hover. Int J Micro Air Vehicles 7(3):231\u2013256","journal-title":"Int J Micro Air Vehicles"},{"key":"906_CR5","first-page":"59","volume":"718","author":"F Bouttier","year":"2002","unstructured":"Bouttier F, Courtier P (2002) Data assimilation concepts and methods March 1999. Meteorol Train Course Lect Ser 718:59","journal-title":"Meteorol Train Course Lect Ser"},{"issue":"7","key":"906_CR6","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1063\/1.1740981","volume":"18","author":"S Corrsin","year":"1947","unstructured":"Corrsin S (1947) Extended applications of the hot-wire anemometer. Rev Sci Instrum 18(7):469\u2013471","journal-title":"Rev Sci Instrum"},{"key":"906_CR7","first-page":"414","volume":"65","author":"PA Costa Rocha","year":"2014","unstructured":"Costa Rocha PA, Barbosa Rocha HH, Moura Carneiro FO, Vieira da Silva ME, Valente Bueno A (2014) k\u2013\u03c9 SST (shear stress transport) turbulence model calibration: a case study on a small scale horizontal axis wind turbine. Energy 65:414\u2013418","journal-title":"Energy"},{"issue":"6","key":"906_CR8","doi-asserted-by":"publisher","first-page":"1043","DOI":"10.1007\/s12650-018-0508-0","volume":"21","author":"ZW Deng","year":"2018","unstructured":"Deng ZW, He CX, Wen X, Liu YZ (2018) Recovering turbulent flow field from local quantity measurement: turbulence modeling using ensemble-Kalman-filter-based data assimilation. J vis 21(6):1043\u20131063","journal-title":"J vis"},{"issue":"3","key":"906_CR9","first-page":"227","volume":"12","author":"P Doerffer","year":"2008","unstructured":"Doerffer P, Szulc O (2008) Numerical simulation of model helicopter rotor in hover. Task Q 12(3):227\u2013236","journal-title":"Task Q"},{"issue":"2","key":"906_CR10","first-page":"196","volume":"12","author":"H Du","year":"2020","unstructured":"Du H, Kong WJ, Wang Y, Liu WJ, Huang MQ, Zhang WG, Tang M (2020) Research on rotorcraft blade tip vortex identification and motion characteristics in hovering state. Fluid Mech Phys Probl Symmetry 12(2):196","journal-title":"Fluid Mech Phys Probl Symmetry"},{"issue":"3","key":"906_CR11","first-page":"100","volume":"4","author":"DC Elien","year":"2012","unstructured":"Elien DC, Athanasios TI, Dionissios MP (2012) Evaluation of the turbulence models for the simulation of the flow over a National Advisory Committee for Aeronautics (NACA) 0012 airfoil. J Mech Eng Res 4(3):100\u2013111","journal-title":"J Mech Eng Res"},{"key":"906_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-03711-5","volume-title":"Data assimilation: the ensemble Kalman filter","author":"G Evensen","year":"2009","unstructured":"Evensen G (2009) Data assimilation: the ensemble Kalman filter. Springer, Berlin"},{"key":"906_CR13","doi-asserted-by":"crossref","unstructured":"Fitzgibbon T A, Barakos G N, Woodgate M A and Jimenez-Garcia A (2019) Numerical simulations of various rotor designs in hover and forward flight. In: Paper presented at the AIAA Scitech 2019 forum, California","DOI":"10.2514\/6.2019-0287"},{"key":"906_CR14","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1017\/jfm.2014.566","volume":"759","author":"DPG Foures","year":"2014","unstructured":"Foures DPG, Dovetta N, Sipp D, SchmidPeter J (2014) A data-assimilation method for Reynolds-averaged Navier\u2013Stokes-driven mean\u00a0flow reconstruction. J Fluid Mech 759:404\u2013431","journal-title":"J Fluid Mech"},{"issue":"2","key":"906_CR15","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1017\/S0022112073000194","volume":"60","author":"WK George","year":"2006","unstructured":"George WK, Lumley JL (2006) The laser-Doppler velocimeter and its application to the measurement of turbulence. J Fluid Mech 60(2):321\u2013362","journal-title":"J Fluid Mech"},{"key":"906_CR16","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1016\/j.jcp.2014.12.013","volume":"283","author":"H Kato","year":"2015","unstructured":"Kato H, Yoshizawa A, Ueno G, Obayashi S (2015) A data assimilation methodology for reconstructing turbulent flows around aircraft. J Comput Phys 283:559\u2013581","journal-title":"J Comput Phys"},{"key":"906_CR17","unstructured":"Kato H, Obayashi S (2012) Statistical approach for determining parameters of a turbulence model. In: International conference on information fusion"},{"key":"906_CR18","doi-asserted-by":"crossref","unstructured":"Kato H, Obayashi S (2014) Data assimilation for turbulent flows. In: The 16th AIAA non-deterministic approaches conference. National Harbor, Maryland","DOI":"10.2514\/6.2014-1177"},{"issue":"2","key":"906_CR19","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1111\/j.1600-0870.1986.tb00459.x","volume":"38A","author":"F-X Le Dimet","year":"1986","unstructured":"Le Dimet F-X, Talagrand O (1986) Variational algorithms for analysis and assimilation of meteorological observations: theoretical aspects. Tellus a Dyn Meteorol Oceanogr 38A(2):97\u2013110","journal-title":"Tellus a Dyn Meteorol Oceanogr"},{"key":"906_CR20","unstructured":"Lemke M, Lesterhenn J (2015) Adjoint based data assimilation in compressible flows with application to pressure determination from PIV data. In: Ph.D. Thesis. Technische Universit\u00e4t Berlin, Berlin"},{"key":"906_CR21","first-page":"1","volume":"11","author":"P Lynch","year":"2006","unstructured":"Lynch P, Dublin U (2006) Weather prediction by numerical process. The Emerg Numer Weather Predict 11:1\u201327","journal-title":"The Emerg Numer Weather Predict"},{"key":"906_CR22","first-page":"239","volume":"21","author":"M McKay","year":"1979","unstructured":"McKay M, Beckman R, Conover W (1979) A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics 21:239\u2013245","journal-title":"Technometrics"},{"issue":"8","key":"906_CR23","doi-asserted-by":"publisher","first-page":"1598","DOI":"10.2514\/3.12149","volume":"32","author":"FR Menter","year":"1994","unstructured":"Menter FR (1994) Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J 32(8):1598\u20131605","journal-title":"AIAA J"},{"key":"906_CR24","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1146\/annurev.fluid.30.1.539","volume":"30","author":"P Moin","year":"1998","unstructured":"Moin P, Mahesh K (1998) Direct numerical simulation: a tool in turbulence research. Annu Rev Fluid Mech 30:539\u2013578","journal-title":"Annu Rev Fluid Mech"},{"key":"906_CR25","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1016\/j.jcp.2016.04.022","volume":"316","author":"V Mons","year":"2016","unstructured":"Mons V, Chassaing JC, Gomez T, Sagaut P (2016) Reconstruction of unsteady viscous flows using data assimilation schemes. J Comput Phys 316:255\u2013280","journal-title":"J Comput Phys"},{"issue":"10","key":"906_CR26","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1016\/j.jweia.2017.07.007","volume":"169","author":"V Mons","year":"2017","unstructured":"Mons V, Margheri L, Chassaing J-C, Sagaut P (2017) Data assimilation-based reconstruction of urban pollutant release characteristics. J Wind Eng Ind Aerodyn 169(10):232\u2013250","journal-title":"J Wind Eng Ind Aerodyn"},{"issue":"3","key":"906_CR27","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1007\/s42452-019-0254-5","volume":"1","author":"PI Muiruri","year":"2019","unstructured":"Muiruri PI, Motsamai OS, Ndeda R (2019) A comparative study of RANS-based turbulence models for an upscale wind turbine blade. SN Appl Sci 1(3):237","journal-title":"SN Appl Sci"},{"issue":"2","key":"906_CR28","doi-asserted-by":"publisher","first-page":"261","DOI":"10.3390\/en12020261","volume":"12","author":"GAM P\u00e9rez","year":"2019","unstructured":"P\u00e9rez GAM, Villegas SJS, L\u00f3pez OD, Su\u00e1rez CLJ, Escobar JA (2019) Numerical and experimental estimation of the efficiency of a quadcopter rotor operating at hover. Energies 12(2):261","journal-title":"Energies"},{"key":"906_CR29","unstructured":"Rabier F, Liu Z (2003) Variational data assimilation theory and overview. In: ECMWF annual seminar 2003. https:\/\/www.ecmwf.int\/sites\/default\/files\/elibrary\/2003\/11805-variational-data-assimiltion-theory-and-overview.pdf"},{"key":"906_CR30","unstructured":"Raffel M, Richard H, Agocs J, Otter D, Mattner H, G\u00f6hmann U (2001) Experimental aspects of PIV applied to a Bo 105 helicopter in hover-flight condition. In: Procceedings of 4th international symposium on particle image velocimetry. Gottingen"},{"key":"906_CR31","doi-asserted-by":"crossref","unstructured":"Ramasamy M, Leishman JG (2006) Benchmarking PIV with LDV for rotor wake vortex flows. In: The 24th AIAA applied aerodynamics conference","DOI":"10.2514\/6.2006-3479"},{"key":"906_CR33","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1115\/1.1508154","volume":"55","author":"P Sagaut","year":"2002","unstructured":"Sagaut P, Lee YT (2002) Large eddy simulation for incompressible flows: an introduction. Sci Comput Ser Appl Mech Rev 55:115","journal-title":"Sci Comput Ser Appl Mech Rev"},{"key":"906_CR34","doi-asserted-by":"crossref","unstructured":"Shelton A, Abras J, Jurenko R, Smith MJ (2005) Improving the CFD predictions of airfoils in stall. In: The 43rd AIAA aerospace sciences meeting and exhibit","DOI":"10.2514\/6.2005-1227"},{"key":"906_CR35","doi-asserted-by":"crossref","unstructured":"Sternfeld. J (1980) Advanced rotorcraft noise. In: The international meeting and technical display on global technology 2000","DOI":"10.2514\/6.1980-857"},{"issue":"5","key":"906_CR36","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s00348-017-2336-8","volume":"58","author":"S Symon","year":"2017","unstructured":"Symon S, Dovetta N, McKeon BJ, Sipp D, Schmid PJ (2017) Data assimilation of mean velocity from 2D PIV measurements of flow over an idealized airfoil. Exp Fluids 58(5):61","journal-title":"Exp Fluids"},{"key":"906_CR37","unstructured":"Tung. C, Low. S (1997) Flow field around a hovering rotor. Moffett Field"},{"key":"906_CR38","unstructured":"Wu J, Yang YD, Huang MQ (2013) PIV test investigation of hovering rotor tip vortex and free vortex wake simulation. In: The 2nd Asian\/Australian rotorcraft forum and the 4th international basic research conference on rotorcraft technology"},{"key":"906_CR39","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.renene.2020.05.139","volume":"158","author":"M Yang","year":"2020","unstructured":"Yang M, Xiao Z (2020) Parameter uncertainty quantification for a four-equation transition model using a data assimilation approach. Renew Energy 158:215\u2013226","journal-title":"Renew Energy"},{"key":"906_CR40","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.jhazmat.2014.07.064","volume":"280","author":"XL Zhang","year":"2014","unstructured":"Zhang XL, Su GF, Yuan HY, Chen JG, Huang QY (2014) Modified ensemble Kalman filter for nuclear accident atmospheric dispersion: prediction improved and source estimated. J Hazard Mater 280:143\u2013155","journal-title":"J Hazard Mater"}],"container-title":["Journal of Visualization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-022-00906-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12650-022-00906-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-022-00906-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,14]],"date-time":"2023-06-14T09:09:10Z","timestamp":1686733750000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12650-022-00906-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,6]]},"references-count":40,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["906"],"URL":"https:\/\/doi.org\/10.1007\/s12650-022-00906-y","relation":{},"ISSN":["1343-8875","1875-8975"],"issn-type":[{"value":"1343-8875","type":"print"},{"value":"1875-8975","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,6]]},"assertion":[{"value":"9 November 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 December 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 December 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 January 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}