A software framework for construction of process-based stochastic spatio-temporal models and data assimilation

Environmental Modelling and Software

Volumn 25, Issue 4, 2010, Pages 489-502

  Karssenberg, Derek ^a   Schmitz, Oliver ^a   Salamon, Peter ^b   de Jong, Kor ^a   Bierkens, Marc F P ^a,c  

^a UTRECHT UNIVERSITY   (Netherlands)

^b JOINT RESEARCH CENTRE   (Italy)

^c DELTARES   (Netherlands)

Author keywords

Calibration; Data assimilation; Ensemble kalman filter; Environmental model; Hydrology; Particle filter; PCRaster; Python; Snow; Spatio temporal model

Indexed keywords

CALIBRATION DATA; ENSEMBLE KALMAN FILTER; ENVIRONMENTAL MODEL; PARTICLE FILTER; SPATIO-TEMPORAL MODELS;

AIR FILTERS; CALIBRATION; CONTROL THEORY; DATA PROCESSING; HIGH LEVEL LANGUAGES; HYDRAULIC MODELS; HYDROLOGY; KALMAN FILTERS; MONTE CARLO METHODS; NONLINEAR FILTERING; SIMULATORS; SNOW; STOCHASTIC MODELS; THREE DIMENSIONAL; WATER;

COMPUTER SOFTWARE;

CALIBRATION; DATA ASSIMILATION; HYDROLOGICAL MODELING; HYDROLOGY; KALMAN FILTER; MONTE CARLO ANALYSIS; NUMERICAL MODEL; SNOW; SOFTWARE; SPATIOTEMPORAL ANALYSIS;

EID: 72549104394     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2009.10.004     Document Type: Article

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