Hydrological data assimilation with the ensemble Kalman filter: Use of streamflow observations to update states in a distributed hydrological model

A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

M.S. Arulampalam, Simon Maskell, Neil Gordon et al. · IEEE Transactions on Signal Processing · 2002 · 11.5K citations

Computing, Physics, Bayesian Data Analysis +14

On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters

C. H. B. Priestley, R. J. Taylor · Monthly Weather Review · 1972 · 6.7K citations · Full text

Natural Sciences, Earth Sciences, Meteorology +17

Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics

Geir Evensen · Journal of Geophysical Research Atmospheres · 1994 · 5.5K citations · Full text

Natural Sciences, Earth Sciences, Oceanography +17

The Ensemble Kalman Filter: theoretical formulation and practical implementation

Geir Evensen · Ocean Dynamics · 2003 · 4.5K citations

Computing, Systems Engineering, Forecasting +10

A physically based, variable contributing area model of basin hydrology

M. J. Kirkby, KJ Beven · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · 1979 · 4K citations

Natural Resources, Earth Sciences, Hydrology +17