nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Accelerating Monte Carlo Markov chains with proxy and error models
|
Josset, Laureline |
|
2015 |
|
PB |
p. 38-48 11 p. |
artikel |
2 |
A remote sensing image fusion method based on feedback sparse component analysis
|
Xu, Jindong |
|
2015 |
|
PB |
p. 115-123 9 p. |
artikel |
3 |
A seed expanding cluster algorithm for deriving upwelling areas on sea surface temperature images
|
Nascimento, Susana |
|
2015 |
|
PB |
p. 74-85 12 p. |
artikel |
4 |
Data-driven methods to improve baseflow prediction of a regional groundwater model
|
Xu, Tianfang |
|
2015 |
|
PB |
p. 124-136 13 p. |
artikel |
5 |
Exploring temporal and functional synchronization in integrating models: A sensitivity analysis
|
Belete, Getachew F. |
|
2016 |
|
PB |
p. 162-171 10 p. |
artikel |
6 |
Extreme Learning Machines for spatial environmental data
|
Leuenberger, Michael |
|
2015 |
|
PB |
p. 64-73 10 p. |
artikel |
7 |
First-order uncertainty analysis using Algorithmic Differentiation of morphodynamic models
|
Villaret, Catherine |
|
2016 |
|
PB |
p. 144-151 8 p. |
artikel |
8 |
Geological feature selection in reservoir modelling and history matching with Multiple Kernel Learning
|
Demyanov, V. |
|
2015 |
|
PB |
p. 16-25 10 p. |
artikel |
9 |
Geostatistical independent simulation of spatially correlated soil variables
|
Boluwade, Alaba |
|
2015 |
|
PB |
p. 3-15 13 p. |
artikel |
10 |
Hydrological model uncertainty due to spatial evapotranspiration estimation methods
|
Yu, Xuan |
|
2016 |
|
PB |
p. 90-101 12 p. |
artikel |
11 |
LORICA – A new model for linking landscape and soil profile evolution: Development and sensitivity analysis
|
Temme, Arnaud J.A.M. |
|
2016 |
|
PB |
p. 131-143 13 p. |
artikel |
12 |
Morphological impact of a storm can be predicted three days ahead
|
Baart, F. |
|
2016 |
|
PB |
p. 17-23 7 p. |
artikel |
13 |
Multi-scale characterization of topographic anisotropy
|
Roy, S.G. |
|
2016 |
|
PB |
p. 102-116 15 p. |
artikel |
14 |
Predicting uncertainty in sediment transport and landscape evolution – the influence of initial surface conditions
|
Hancock, G.R. |
|
2016 |
|
PB |
p. 117-130 14 p. |
artikel |
15 |
Reprint of: Active subspaces for sensitivity analysis and dimension reduction of an integrated hydrologic model
|
Jefferson, Jennifer L. |
|
2016 |
|
PB |
p. 78-89 12 p. |
artikel |
16 |
Reprint of: A numerical investigation of fine sediment resuspension in the wave boundary layer—Uncertainties in particle inertia and hindered settling
|
Cheng, Zhen |
|
2016 |
|
PB |
p. 40-56 17 p. |
artikel |
17 |
Retrieval of dust storm aerosols using an integrated Neural Network model
|
Xiao, Fei |
|
2015 |
|
PB |
p. 104-114 11 p. |
artikel |
18 |
Sensitivity of a third generation wave model to wind and boundary condition sources and model physics: A case study from the South Atlantic Ocean off Brazil coast
|
Siadatmousavi, S. Mostafa |
|
2016 |
|
PB |
p. 57-65 9 p. |
artikel |
19 |
Shelf sediment transport during hurricanes Katrina and Rita
|
Xu, Kehui |
|
2016 |
|
PB |
p. 24-39 16 p. |
artikel |
20 |
Statistical learning in geoscience modelling: Novel algorithms and challenging case studies
|
Kanevski, M. |
|
2015 |
|
PB |
p. 1-2 2 p. |
artikel |
21 |
Stochastic Local Interaction (SLI) model: Bridging machine learning and geostatistics
|
Hristopulos, Dionissios T. |
|
2015 |
|
PB |
p. 26-37 12 p. |
artikel |
22 |
The DTW-based representation space for seismic pattern classification
|
Orozco-Alzate, Mauricio |
|
2015 |
|
PB |
p. 86-95 10 p. |
artikel |
23 |
Towards uncertainty quantification and parameter estimation for Earth system models in a component-based modeling framework
|
Peckham, Scott D. |
|
2016 |
|
PB |
p. 152-161 10 p. |
artikel |
24 |
Uncertainty and Sensitivity in Surface Dynamics Modeling
|
Kettner, Albert J. |
|
2016 |
|
PB |
p. 1-5 5 p. |
artikel |
25 |
Uncertainty quantification in modeling earth surface processes: more applicable for some types of models than for others
|
Murray, A. Brad |
|
2016 |
|
PB |
p. 6-16 11 p. |
artikel |
26 |
Understanding hydrological flow paths in conceptual catchment models using uncertainty and sensitivity analysis
|
Mockler, Eva M. |
|
2016 |
|
PB |
p. 66-77 12 p. |
artikel |
27 |
Unsupervised classification of multivariate geostatistical data: Two algorithms
|
Romary, Thomas |
|
2015 |
|
PB |
p. 96-103 8 p. |
artikel |
28 |
Variable lag variography using k-means clustering
|
Kapageridis, I.K. |
|
2015 |
|
PB |
p. 49-63 15 p. |
artikel |