Parallel simulation of 3-D flow and transport models within the NOWESP project. - Hai-Xiang Lin; H. H. ten Cate; Len Dekker; Arnold W. Heemink; Mark R. Roest; Edwin A. H. Vollebregt; Th. L. van Stijn; Jean Berlamont (Simul. Pract. Theory, 1995)

TASC, A Dutch consortium for development mathematical models for environmental problems. - Jan G. Verwer; P. J. van der Houwen; Arnold W. Heemink; G. S. Stelling; Peter J. H. Builtjes (EUROSIM, 1996)

Editorial: High Performance Computing and Networking: Simulation Practice. - Arnold W. Heemink; Jan C. Zuidervaart (Simul. Pract. Theory, 1998)

A modified -filter for assimilating data in atmospheric chemistry models. - Arjo J. Segers; Arnold W. Heemink; Martin Verlaan; Maarten van Loon (Environ. Model. Softw., 2000)

Parallel and distributed simulation of sediment dynamics in shallow water using particle decomposition approach. - W. M. Charles; E. van den Berg; Hai-Xiang Lin; Arnold W. Heemink; Martin Verlaan (J. Parallel Distributed Comput., 2008)

Adaptive stochastic numerical scheme in parallel random walk models for transport problems in shallow water. - W. M. Charles; E. van den Berg; Hai-Xiang Lin; Arnold W. Heemink (Math. Comput. Model., 2009)

Data assimilation framework: Linking an open data assimilation library (OpenDA) to a widely adopted model interface (OpenMI). - Marc E. Ridler; Nils van Velzen; Stef Hummel; Inge Sandholt; Anne Katrine Falk; Arnold W. Heemink; Henrik Madsen (Environ. Model. Softw., 2014)

Correcting Position Error in Precipitation Data Using Image Morphing. - Camille Le Coz; Arnold W. Heemink; Martin Verlaan; Marie-claire ten Veldhuis; Nick van de Giesen (Remote. Sens., 2019)

Precipitation Regime Classification Based on Cloud-Top Temperature Time Series for Spatially-Varied Parameterization of Precipitation Models. - Sha Lu; Marie-claire ten Veldhuis; Nick van de Giesen; Arnold W. Heemink; Martin Verlaan (Remote. Sens., 2020)

Efficient estimation of space varying parameters in numerical models using non-intrusive subdomain reduced order modeling. - Cong Xiao 001; Olwijn Leeuwenburgh; Hai-Xiang Lin; Arnold W. Heemink (J. Comput. Phys., 2021)

Conditioning of deep-learning surrogate models to image data with application to reservoir characterization. - Cong Xiao 001; Olwijn Leeuwenburgh; Hai-Xiang Lin; Arnold W. Heemink (Knowl. Based Syst., 2021)

A Knowledge-Aided Robust Ensemble Kalman Filter Algorithm for Non-Linear and Non-Gaussian Large Systems. - Santiago Lopez-Restrepo; Andres Yarce; Nicolas Pinel; Olga Lucía Quintero; Arjo J. Segers; Arnold W. Heemink (Frontiers Appl. Math. Stat., 2022)

Ozone exceedance forecasting with enhanced extreme instance augmentation: A case study in Germany. - Tuo Deng; Astrid M. M. Manders; Arjo J. Segers; Arnold W. Heemink; Hai-Xiang Lin (Environ. Model. Softw., 2024)