51 citations as recorded by crossref.

1. Building a Better Forecast: Reformulating the Ensemble Kalman Filter for Improved Applications to Volcano Deformation J. Albright & P. Gregg 10.1029/2022EA002522
2. A comparison of different versions of the SEEK Filter for assimilation of biogeochemical data in numerical models of marine ecosystem dynamics M. Butenschön & M. Zavatarelli 10.1016/j.ocemod.2012.06.003
3. Sequential data assimilation in an upwelling influenced estuary R. Torres et al. 10.1016/j.jmarsys.2006.02.001
4. A multi-data stream assimilation framework for the assessment of volcanic unrest P. Gregg & J. Pettijohn 10.1016/j.jvolgeores.2015.11.008
5. Efficient Characterization of Uncertain Model Parameters with a Reduced-Order Ensemble Kalman Filter B. Lin & D. McLaughlin 10.1137/130910415
6. Ecoregions in the Mediterranean Sea Through the Reanalysis of Phytoplankton Functional Types and Carbon Fluxes S. Ciavatta et al. 10.1029/2019JC015128
7. Challenges and opportunities for integrating lake ecosystem modelling approaches W. Mooij et al. 10.1007/s10452-010-9339-3
8. A model-independent data assimilation (MIDA) module and its applications in ecology X. Huang et al. 10.5194/gmd-14-5217-2021
9. Data assimilation strategies for volcano geodesy Y. Zhan & P. Gregg 10.1016/j.jvolgeores.2017.02.015
10. Assimilation of ocean colour data into a Biogeochemical Flux Model of the Eastern Mediterranean Sea G. Triantafyllou et al. 10.5194/os-3-397-2007
11. Emerging ocean observations for interdisciplinary data assimilation systems T. Dickey 10.1016/S0924-7963(03)00011-3
12. Towards a Multi‐Platform Assimilative System for North Sea Biogeochemistry J. Skákala et al. 10.1029/2020JC016649
13. Can ocean color assimilation improve biogeochemical hindcasts in shelf seas? S. Ciavatta et al. 10.1029/2011JC007219
14. Assimilation of Ocean‐Color Plankton Functional Types to Improve Marine Ecosystem Simulations S. Ciavatta et al. 10.1002/2017JC013490
15. Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling M. Schartau et al. 10.5194/bg-14-1647-2017
16. Decadal reanalysis of biogeochemical indicators and fluxes in the North West European shelf‐sea ecosystem S. Ciavatta et al. 10.1002/2015JC011496
17. On the stability and the uniform propagation of chaos properties of Ensemble Kalman–Bucy filters P. Del Moral & J. Tugaut 10.1214/17-AAP1317
18. Variable update strategy to improve water quality forecast accuracy in multivariate data assimilation using the ensemble Kalman filter S. Park et al. 10.1016/j.watres.2020.115711
19. Calibration of a coupled biological–physical model for prediction in a coastal inlet M. Guarracino et al. 10.1016/j.csr.2011.07.012
20. A hybrid ensemble-OI Kalman filter for efficient data assimilation into a 3-D biogeochemical model of the Mediterranean K. Tsiaras et al. 10.1007/s10236-017-1050-7
21. Data assimilation with a local Ensemble Kalman Filter applied to a three-dimensional biological model of the Middle Atlantic Bight J. Hu et al. 10.1016/j.jmarsys.2011.11.016
22. A theoretical analysis of one-dimensional discrete generation ensemble Kalman particle filters P. Del Moral & E. Horton 10.1214/22-AAP1843
23. Application of the Gaussian anamorphosis to assimilation in a 3-D coupled physical-ecosystem model of the North Atlantic with the EnKF: a twin experiment E. Simon & L. Bertino 10.5194/os-5-495-2009
24. A data assimilation tool for the Pagasitikos Gulf ecosystem dynamics: Methods and benefits G. Korres et al. 10.1016/j.jmarsys.2011.11.004
25. Improving Weather Forecasts for Sailing Events Using a Combination of a Numerical Forecast Model and Machine Learning Postprocessing S. Beimel et al. 10.3390/app14072950
26. Assimilating GlobColour ocean colour data into a pre-operational physical-biogeochemical model D. Ford et al. 10.5194/os-8-751-2012
27. A Novel Data Sampling Driven Kalman Filter Is Designed by Combining the Characteristic Sampling of UKF and the Random Sampling of EnKF T. Cui et al. 10.3390/s22041343
28. Nutrient transports in the Baltic Sea – results from a 30-year physical–biogeochemical reanalysis Y. Liu et al. 10.5194/bg-14-2113-2017
29. Dynamics and enzymatic degradation of exopolymer particles under increasing concentrations of silver ions and nanoparticles during a marine mesocosm experiment L. Scheidemann et al. 10.3389/fmars.2022.955488
30. A sequential Monte Carlo approach for marine ecological prediction M. Dowd 10.1002/env.780
31. State and parameter update of a hydrodynamic-phytoplankton model using ensemble Kalman filter J. Huang et al. 10.1016/j.ecolmodel.2013.04.022
32. On the mathematical theory of ensemble (linear-Gaussian) Kalman–Bucy filtering A. Bishop & P. Del Moral 10.1007/s00498-023-00357-2
33. Assimilation of remotely-sensed optical properties to improve marine biogeochemistry modelling S. Ciavatta et al. 10.1016/j.pocean.2014.06.002
34. Adaptive forecasting of phytoplankton communities T. Page et al. 10.1016/j.watres.2018.01.046
35. Estimating time-dependent parameters for a biological ocean model using an emulator approach J. Mattern et al. 10.1016/j.jmarsys.2012.01.015
36. Assessing a robust ensemble-based Kalman filter for efficient ecosystem data assimilation of the Cretan Sea G. Triantafyllou et al. 10.1016/j.jmarsys.2012.12.006
37. Operational monitoring and forecasting for marine environmental applications in the Aegean Sea K. Nittis et al. 10.1016/j.envsoft.2004.04.023
38. Forecasting dryland vegetation condition months in advance through satellite data assimilation S. Tian et al. 10.1038/s41467-019-08403-x
39. Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al. 10.1029/2020RG000715
40. Modelling the hydrodynamics and ecosystem of the North-West European continental shelf for operational oceanography J. Siddorn et al. 10.1016/j.jmarsys.2006.01.018
41. Skill assessment in ocean biological data assimilation W. Gregg et al. 10.1016/j.jmarsys.2008.05.006
42. Sequential Assimilation of Volcanic Monitoring Data to Quantify Eruption Potential: Application to Kerinci Volcano, Sumatra Y. Zhan et al. 10.3389/feart.2017.00108
43. Bayesian statistical data assimilation for ecosystem models using Markov Chain Monte Carlo M. Dowd 10.1016/j.jmarsys.2007.01.007
44. Marine ecosystem models for earth systems applications: The MarQUEST experience J. Allen et al. 10.1016/j.jmarsys.2009.12.017
45. Development of an Aerosol Retrieval Method: Description and Preliminary Tests G. Carrió et al. 10.1175/2008JAMC1729.1
46. Eastern Mediterranean biogeochemical flux model – Simulations of the pelagic ecosystem G. Petihakis et al. 10.5194/os-5-29-2009
47. Sequential data assimilation applied to a physical–biological model for the Bermuda Atlantic time series station J. Mattern et al. 10.1016/j.jmarsys.2009.08.004
48. Assessment of a regional physical–biogeochemical stochastic ocean model. Part 1: Ensemble generation V. Vervatis et al. 10.1016/j.ocemod.2021.101781
49. Improving assimilation of SeaWiFS data by the application of bias correction with a local SEIK filter L. Nerger & W. Gregg 10.1016/j.jmarsys.2007.09.007
50. An Ensemble Kalman Filter Data Assimilation Method for the Sea Surface Temperature in the China Seas: Implementation and Simulation Experiments Z. Li et al. 10.1088/1742-6596/2486/1/012028
51. Experimental and modeling study on Cr(VI) transfer from soil into surface runoff C. Tan et al. 10.1007/s00477-015-1161-y