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X
de Baar, Jouke
28  Ergebnisse:
Personensuche X
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1

Towards high-resolution gridded climatology stemming from t..:

van Beekvelt, Daniëlle ; Garcia-Marti, Irene ; de Baar, Jouke.
PLOS Climate.  3 (2024)  1 - p. e0000216 , 2024
Link: https://doi.org/10.1371/..
 
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2

Uncertainty quantification for a sailing yacht hull, using ..:

de Baar, Jouke ; Roberts, Stephen ; Dwight, Richard.
Computers & Fluids.  123 (2015)  - p. 185-201 , 2015
Link: https://doi.org/10.1016/..
 
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3

A new E‐OBS gridded dataset for daily mean wind speed over ..:

de Baar, Jouke H. S. ; van der Schrier, Gerard ; van den Besselaar, Else J. M...
International Journal of Climatology.  43 (2023)  13 - p. 6083-6100 , 2023
Link: https://doi.org/10.1002/..
 
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4

Recent improvements in the E-OBS griddeddata set for daily ..:

de Baar, Jouke H. S. ; Nhat Luu, Linh ; van der Schrier, Gerard..
Advances in Science and Research.  20 (2023)  - p. 91-95 , 2023
Link: https://doi.org/10.5194/..
 
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5

Spatial regression of multi-fidelitymeteorological observat..:

de Baar, Jouke H. S. ; Garcia-Marti, Irene ; van der Schrier, Gerard
Advances in Science and Research.  20 (2023)  - p. 49-53 , 2023
Link: https://doi.org/10.5194/..
 
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6

Impact of Surface Roughness Changes on Surface Wind Speed O..:

Luu, Linh N. ; van Meijgaard, Erik ; Philip, Sjoukje Y....
Journal of Geophysical Research: Atmospheres.  128 (2023)  12 - p. , 2023
Link: https://doi.org/10.1029/..
 
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7

Efficient uncertainty quantification for a hypersonic trail..:

Bhattrai, Sudip ; de Baar, Jouke H.S. ; Neely, Andrew J.
Aerospace Science and Technology.  80 (2018)  - p. 261-268 , 2018
Link: https://doi.org/10.1016/..
 
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8

Multifidelity Sparse-Grid-Based Uncertainty Quantification ..:

de Baar, Jouke H. S. ; Roberts, Stephen G.
Pure and Applied Geophysics.  174 (2017)  8 - p. 3107-3121 , 2017
Link: https://doi.org/10.1007/..
 
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9

Kriging regression of PIV data using a local error estimate:

de Baar, Jouke H. S. ; Percin, Mustafa ; Dwight, Richard P...
Experiments in Fluids.  55 (2014)  1 - p. , 2014
Link: https://doi.org/10.1007/..
 
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10

Locations of stations:

Daniëlle van Beekvelt ; Irene Garcia-Marti ; Jouke de Baar
doi:10.1371/journal.pclm.0000216.g001.  , 2024
Link: https://doi.org/10.1371/..
 
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11

Uncertainty predictions for N = 7:

Daniëlle van Beekvelt ; Irene Garcia-Marti ; Jouke de Baar
doi:10.1371/journal.pclm.0000216.g009.  , 2024
Link: https://doi.org/10.1371/..
 
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12

Temperature predictions for N = 7:

Daniëlle van Beekvelt ; Irene Garcia-Marti ; Jouke de Baar
doi:10.1371/journal.pclm.0000216.g008.  , 2024
Link: https://doi.org/10.1371/..
 
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13

The regression error under different noise levels:

Daniëlle van Beekvelt ; Irene Garcia-Marti ; Jouke de Baar
doi:10.1371/journal.pclm.0000216.g004.  , 2024
Link: https://doi.org/10.1371/..
 
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14

Temperature predictions for N = 1.5:

Daniëlle van Beekvelt ; Irene Garcia-Marti ; Jouke de Baar
doi:10.1371/journal.pclm.0000216.g006.  , 2024
Link: https://doi.org/10.1371/..
 
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15

Fitting performance based on weather complexity:

Daniëlle van Beekvelt ; Irene Garcia-Marti ; Jouke de Baar
doi:10.1371/journal.pclm.0000216.g005.  , 2024
Link: https://doi.org/10.1371/..
 
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