| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Comparison of ensemble-based state and parameter estimation methods for soil moisture data assimilation
|
Chen, Weijing
|
|
2015
|
86 |
PB |
p. 425-438
|
artikel
|
| 2 |
Data assimilation for improved predictions of integrated terrestrial systems
|
Franssen, Harrie-Jan Hendricks
|
|
2015
|
86 |
PB |
p. 257-259
|
artikel
|
| 3 |
Detection of potential leakage pathways from geological carbon storage by fluid pressure data assimilation
|
González-Nicolás, Ana
|
|
2015
|
86 |
PB |
p. 366-384
|
artikel
|
| 4 |
Determining soil moisture by assimilating soil temperature measurements using the Ensemble Kalman Filter
|
Dong, Jianzhi
|
|
2015
|
86 |
PB |
p. 340-353
|
artikel
|
| 5 |
Editorial Board
|
|
|
2015
|
86 |
PB |
p. IFC
|
artikel
|
| 6 |
Error covariance calculation for forecast bias estimation in hydrologic data assimilation
|
Pauwels, Valentijn R.N.
|
|
2015
|
86 |
PB |
p. 284-296
|
artikel
|
| 7 |
Exploration of sequential streamflow assimilation in snow dominated watersheds
|
Abaza, Mabrouk
|
|
2015
|
86 |
PB |
p. 414-424
|
artikel
|
| 8 |
Impact of sensor failure on the observability of flow dynamics at the Biosphere 2 LEO hillslopes
|
Pasetto, Damiano
|
|
2015
|
86 |
PB |
p. 327-339
|
artikel
|
| 9 |
Impact of uncertainty description on assimilating hydraulic head in the MIKE SHE distributed hydrological model
|
Zhang, Donghua
|
|
2015
|
86 |
PB |
p. 400-413
|
artikel
|
| 10 |
Inverse sequential simulation: Performance and implementation details
|
Xu, Teng
|
|
2015
|
86 |
PB |
p. 311-326
|
artikel
|
| 11 |
Real-time data assimilation for large-scale systems: The spectral Kalman filter
|
Ghorbanidehno, Hojat
|
|
2015
|
86 |
PB |
p. 260-272
|
artikel
|
| 12 |
Reduction of Used Memory Ensemble Kalman Filtering (RumEnKF): A data assimilation scheme for memory intensive, high performance computing
|
Hut, Rolf
|
|
2015
|
86 |
PB |
p. 273-283
|
artikel
|
| 13 |
Surrogate accelerated sampling of reservoir models with complex structures using sparse polynomial chaos expansion
|
Bazargan, Hamid
|
|
2015
|
86 |
PB |
p. 385-399
|
artikel
|
| 14 |
The importance of state transformations when using the ensemble Kalman filter for unsaturated flow modeling: Dealing with strong nonlinearities
|
Erdal, D.
|
|
2015
|
86 |
PB |
p. 354-365
|
artikel
|
| 15 |
Two-point or multiple-point statistics? A comparison between the ensemble Kalman filtering and the ensemble pattern matching inverse methods
|
Li, Liangping
|
|
2015
|
86 |
PB |
p. 297-310
|
artikel
|
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