SlideShare a Scribd company logo
1 of 14
Download to read offline
IAHR World Congress 2015
Den Haag, 30th June 2015
Validation of SWAN under extreme
conditions in the Wadden Sea
Amaury Camarena
Caroline Gautier
Joana van Nieuwkoop
Introduction
30 June 2015
Introduction
• Hydraulic Boundary
Conditions partly derived by
the SWAN model.
• Assess the performance of
SWAN when simulating
extreme conditions.
30 June 2015
Study area
Ameland
Eastern Wadden Sea
• Stationary SWAN computations: Storm 5th and 6th December 2013
• Several wave measuring devices available for comparison and validation
30 June 2015
Available data and case selection
Eight different times are selected to undertake stationary SWAN
computations (pre, during, post storm).
• Tidal phase
• No large offshore temporal variation
• Availability of data in buoys
(buoys are shown by the different colors)
30 June 2015
SWAN model setup
-Wind input: HARMONIE
-Wave input: Wave buoys
-Water level and current input: Delft3D-Flow coupled with waves
30 June 2015
SWAN settings
A-series: Reference settings, including currents (based on the
research carried out for the so-called ‘Wettelijk
toetsinstrumentarium’ (WTI) project).
B-series: Reference settings, deactivating currents.
C-series: Komen wind growth and whitecapping with delta=1. These
are the SWAN default settings in version 40.91.A.
D-series: Komen wind growth and whitecapping with delta=0.
Represent the previous default SWAN settings before version
40.91.A.
E-series: Reference settings, without enhanced whitecapping due to
currents (Cds3=0).
30 June 2015
Results - Ameland
• * represent the measured value at the time of the event
• + shows 1 hour after
• □ 1 hour before
30 June 2015
Results - Eastern Wadden Sea
• * represent the measured value at the time of the event
• + shows 1 hour after
• □ 1 hour before
30 June 2015
Statistical performance of SWAN - Ameland
ID SETTINGS BIAS
STANDARD
DEVIATION
ROOT
MEAN
SQUARE
RELATIVE
BIAS
RELATIVE
STANDARD
DEVIATION
NUMBER
OF
SAMPLES
HM0 A Westh Cds3=0.8 -0.02 m 0.26 m 0.26 m -1.9 % 20.6 % 72
HM0 B Westh (no currents) -0.01 m 0.24 m 0.24 m -0.9 % 18.9 % 72
HM0 C Komen, δ=1 0.13 m 0.37 m 0.39 m 10.0 % 29.0 % 72
HM0 D Komen, δ=0 0.10 m 0.40 m 0.41 m 8.1 % 31.5 % 72
HM0 E Westh Cds3=0.0 0.04 m 0.29 m 0.29 m 3.5 % 23.1 % 72
TM-1,0 A Westh Cds3=0.8 -0.25 s 0.50 s 0.56 s -4.8 % 9.5 % 72
TM-1,0 B Westh (no currents) -0.41 s 0.65 s 0.77 s -7.9 % 12.4 % 72
TM-1,0 C Komen, δ=1 -0.43 s 0.71 s 0.83 s -8.3 % 13.6 % 72
TM-1,0 D Komen, δ=0 -0.86 s 0.77 s 1.15 s -16.5 % 14.7 % 72
TM-1,0 E Westh Cds3=0.0 -0.31 s 0.55 s 0.63 s -5.9 % 10.6 % 72
30 June 2015
Statistical performance of SWAN - Eastern Wadden Sea
ID SETTINGS BIAS
STANDARD
DEVIATION
ROOT
MEAN
SQUARE
RELATIVE
BIAS
RELATIVE
STANDARD
DEVIATION
NUMBER
OF
SAMPLES
HM0 A Westh Cds3=0.8 0.20 m 0.28 m 0.34 m 10.4 % 14.6 % 48
HM0 B Westh (no currents) 0.23 m 0.28 m 0.36 m 11.8 % 14.7 % 48
HM0 C Komen, δ=1 0.35 m 0.40 m 0.53 m 18.6 % 21.1 % 48
HM0 D Komen, δ=0 0.55 m 0.55 m 0.77 m 29.0 % 28.7 % 48
HM0 E Westh Cds3=0.0 0.27 m 0.30 m 0.40 m 14.3 % 15.9 % 48
TM-1,0 A Westh Cds3=0.8 -0.3 s 0.6 s 0.7 s -5.2 % 9.7 % 48
TM-1,0 B Westh (no currents) -0.5 s 0.8 s 0.9 s -7.4 % 11.6 % 48
TM-1,0 C Komen, δ=1 -0.9 s 0.8 s 1.2 s -14.1 % 11.9 % 48
TM-1,0 D Komen, δ=0 -1.5 s 1.1 s 1.9 s -22.7 % 16.6 % 48
TM-1,0 E Westh Cds3=0.0 -0.6 s 0.6 s 0.8 s -8.3 % 9.5 % 48
30 June 2015
Conclusions
• The reference settings (Series-A) perform significantly better than the
standard SWAN settings especially in areas with mixed swell and wind-
sea conditions.
• The present default SWAN settings (version 40.91.A), which includes
Komen wind growth and whitecapping with delta=1 (C-series), give a
better approximation of wave conditions than previous settings (Komen
with delta=0, D-series) during extreme events on areas dominated by wind
sea and swell like the Wadden Sea.
• Whitecapping formulation and associated calibration parameters strongly
influence the results of the SWAN model.
• Although the effect of currents on wave growth is limited, it cannot be
omitted.
• Overall it is concluded that SWAN is a high quality tool to compute
nearshore waves during storms in the Wadden Sea when the adequate
combination of settings is used.
30 June 2015
Questions?
30 June 2015
Amaury Camarena Calderon
Consultant / Researcher
T +31(0)88335 8029
E amaury.camarenacalderon@deltares.nl
www.deltares.com
P.O.Box 177
2600 MH Delft
The Netherlands
Results - SWAN (series A) vs measurements
AZB11 AZB 31 AZB 41 AZB 51 AZB 61
AZB 12
(G1A)
AZB 12
(G2A)
AZB 22 AZB 32 AZB 42 AZB 52 AZB 62
T1A 0.13 -0.07 0.06 0.06 0.27 0.06 -0.01 -0.17 0.07 0.18 -0.26 -0.20
T2A 0.14 -0.07 -0.05 -0.08 0.09 0.10 0.00 -0.22 0.19 0.14 0.11 0.03
T3A 0.04 0.10 -0.01 -0.01 0.33 0.16 0.00 -0.25 0.14 0.06 0.03 0.06
T4A 0.16 -0.09 -0.02 -0.15 0.06 0.11 0.00 -0.31 -0.14 0.28 -0.17 -0.21
T5A -0.01 -0.02 0.33 0.27 0.39 -0.04 0.10 0.04 0.06 0.04 0.17 0.47
T6A -0.01 -0.16 -0.17 -0.15 0.08 -0.06 0.00 -0.37 -0.21 0.16 0.03 -0.09
T7A -0.05 0.20 0.10 0.06 0.35 0.02 0.00 -0.27 0.07 0.34 0.07 0.11
T8A 0.05 0.18 0.50 0.50 0.91 0.02 0.00 -0.38 -0.01 0.29 0.42 0.04
BRKN
(G1E)
BRKN
(G2E)
WEW WEO RZGN OWEN OWEZ UHW2 LAUOT BOSZ PBW
T1E 0.00 -0.01 -0.04 0.14 0.36 0.69 0.36 0.58 0.30 0.20 0.25
T2E 0.02 0.00 -0.05 0.01 0.39 0.51 0.73 0.14 0.27 0.10 0.15
T3E -0.02 0.00 0.13 -0.05 0.39 0.21 0.23 0.27 0.15 0.00 0.08
T4E 0.02 0.00 -0.05 0.12 0.15 0.12 0.59 -0.22 0.11 -0.13 -0.12
T5E 0.01 0.00 -0.24 0.06 0.18 0.86 0.89 -0.07 0.02 0.03 0.23
T6E -0.02 0.00 -0.15 -0.04 0.02 -0.04 0.36 0.03 0.16 0.04 0.21
T7E -0.01 0.00 0.07 0.03 0.09 0.44 0.56 -0.15 0.16 -0.11 -0.06
T8E 0.01 0.00 -0.07 0.14 0.37 0.71 1.04 -0.19 0.25 0.09 0.11
30 June 2015

More Related Content

What's hot

Lesson 8 - Navigation and time
Lesson 8 - Navigation and timeLesson 8 - Navigation and time
Lesson 8 - Navigation and timeGuilherme Azevedo
 
Basic Theory & Formulae Training Module
Basic Theory & Formulae Training ModuleBasic Theory & Formulae Training Module
Basic Theory & Formulae Training ModuleCookLegacyTraining
 
2.5 pda-capwap - gray
2.5   pda-capwap - gray2.5   pda-capwap - gray
2.5 pda-capwap - graycfpbolivia
 
How turbulent is the atmosphere at large scales
How turbulent is the atmosphere at large scalesHow turbulent is the atmosphere at large scales
How turbulent is the atmosphere at large scalesFarid Ait-Chaalal, PhD
 
Fellenius prediction presentation
Fellenius  prediction presentationFellenius  prediction presentation
Fellenius prediction presentationcfpbolivia
 
Spt energy calibration frank rausche
Spt energy calibration  frank rauscheSpt energy calibration  frank rausche
Spt energy calibration frank rauschecfpbolivia
 
A two equation VLES turbulence model with near-wall delayed behaviour
A two equation VLES turbulence model with near-wall delayed behaviourA two equation VLES turbulence model with near-wall delayed behaviour
A two equation VLES turbulence model with near-wall delayed behaviourApplied CCM Pty Ltd
 
TU1.T10.2.pptx
TU1.T10.2.pptxTU1.T10.2.pptx
TU1.T10.2.pptxgrssieee
 
Movimientocircular 190710033648
Movimientocircular 190710033648Movimientocircular 190710033648
Movimientocircular 190710033648EdwinDelgado43
 
Reverse Recovery Characteristic
Reverse Recovery CharacteristicReverse Recovery Characteristic
Reverse Recovery CharacteristicTsuyoshi Horigome
 
Condition monitoring
Condition monitoringCondition monitoring
Condition monitoringH920H
 
DSD-NL 2014 - NGHS Flexible Mesh - CB&I pilot 3D lagune modeling using ADCP m...
DSD-NL 2014 - NGHS Flexible Mesh - CB&I pilot 3D lagune modeling using ADCP m...DSD-NL 2014 - NGHS Flexible Mesh - CB&I pilot 3D lagune modeling using ADCP m...
DSD-NL 2014 - NGHS Flexible Mesh - CB&I pilot 3D lagune modeling using ADCP m...Deltares
 
Calculo para puente peatonal
Calculo para puente peatonalCalculo para puente peatonal
Calculo para puente peatonalDavid Carbajal
 
Lukman arief water column effect
Lukman arief   water column effectLukman arief   water column effect
Lukman arief water column effectLukman Arief
 
Ship design project Final presentation
Ship design project Final presentationShip design project Final presentation
Ship design project Final presentationKifayath Chowdhury
 
Offshore windfarm design - Lesson 7 park design
Offshore windfarm design - Lesson 7 park designOffshore windfarm design - Lesson 7 park design
Offshore windfarm design - Lesson 7 park designJohan Antonissen
 

What's hot (20)

Lesson 8 - Navigation and time
Lesson 8 - Navigation and timeLesson 8 - Navigation and time
Lesson 8 - Navigation and time
 
WaReS Validation Report
WaReS Validation ReportWaReS Validation Report
WaReS Validation Report
 
Basic Theory & Formulae Training Module
Basic Theory & Formulae Training ModuleBasic Theory & Formulae Training Module
Basic Theory & Formulae Training Module
 
2.5 pda-capwap - gray
2.5   pda-capwap - gray2.5   pda-capwap - gray
2.5 pda-capwap - gray
 
How turbulent is the atmosphere at large scales
How turbulent is the atmosphere at large scalesHow turbulent is the atmosphere at large scales
How turbulent is the atmosphere at large scales
 
Aofd farid
Aofd faridAofd farid
Aofd farid
 
Fellenius prediction presentation
Fellenius  prediction presentationFellenius  prediction presentation
Fellenius prediction presentation
 
Spt energy calibration frank rausche
Spt energy calibration  frank rauscheSpt energy calibration  frank rausche
Spt energy calibration frank rausche
 
A two equation VLES turbulence model with near-wall delayed behaviour
A two equation VLES turbulence model with near-wall delayed behaviourA two equation VLES turbulence model with near-wall delayed behaviour
A two equation VLES turbulence model with near-wall delayed behaviour
 
TU1.T10.2.pptx
TU1.T10.2.pptxTU1.T10.2.pptx
TU1.T10.2.pptx
 
Movimientocircular 190710033648
Movimientocircular 190710033648Movimientocircular 190710033648
Movimientocircular 190710033648
 
Reverse Recovery Characteristic
Reverse Recovery CharacteristicReverse Recovery Characteristic
Reverse Recovery Characteristic
 
Condition monitoring
Condition monitoringCondition monitoring
Condition monitoring
 
DSD-NL 2014 - NGHS Flexible Mesh - CB&I pilot 3D lagune modeling using ADCP m...
DSD-NL 2014 - NGHS Flexible Mesh - CB&I pilot 3D lagune modeling using ADCP m...DSD-NL 2014 - NGHS Flexible Mesh - CB&I pilot 3D lagune modeling using ADCP m...
DSD-NL 2014 - NGHS Flexible Mesh - CB&I pilot 3D lagune modeling using ADCP m...
 
Calculo para puente peatonal
Calculo para puente peatonalCalculo para puente peatonal
Calculo para puente peatonal
 
Lukman arief water column effect
Lukman arief   water column effectLukman arief   water column effect
Lukman arief water column effect
 
Introductiontomotion
IntroductiontomotionIntroductiontomotion
Introductiontomotion
 
Ship design project Final presentation
Ship design project Final presentationShip design project Final presentation
Ship design project Final presentation
 
Offshore windfarm design - Lesson 7 park design
Offshore windfarm design - Lesson 7 park designOffshore windfarm design - Lesson 7 park design
Offshore windfarm design - Lesson 7 park design
 
Chapter 5
Chapter 5Chapter 5
Chapter 5
 

Similar to IAHR 2015 - Validation of SWAN under extreme conditions in the Wadden Sea, Camarena, Deltares, 30062015

LVDT cell stress measurements for insitu rock stress measurement
LVDT cell stress measurements for insitu rock stress measurementLVDT cell stress measurements for insitu rock stress measurement
LVDT cell stress measurements for insitu rock stress measurementRomlaNoorHakim
 
Enflasyon forecast
Enflasyon forecastEnflasyon forecast
Enflasyon forecastmesut bayhan
 
LED panel light test report, IES TEST REPORT
LED panel light test report, IES TEST REPORTLED panel light test report, IES TEST REPORT
LED panel light test report, IES TEST REPORTLuminhome Lighting
 
FINAL_Flood_Routing_through_Reservoirs_a.pptx
FINAL_Flood_Routing_through_Reservoirs_a.pptxFINAL_Flood_Routing_through_Reservoirs_a.pptx
FINAL_Flood_Routing_through_Reservoirs_a.pptxRismanYusuf1
 
Centennial Talk Hydrates
Centennial Talk HydratesCentennial Talk Hydrates
Centennial Talk Hydratesstalnaker
 
Portofolio jacket platform dynamic analysis
Portofolio jacket platform dynamic analysisPortofolio jacket platform dynamic analysis
Portofolio jacket platform dynamic analysisKristoforusAnggara
 
Ass 1 12-46 report engineering dynamics problem
Ass 1  12-46 report engineering dynamics problemAss 1  12-46 report engineering dynamics problem
Ass 1 12-46 report engineering dynamics problemHammad ur Rehman
 
Peramalan Data Time Series #2
Peramalan Data Time Series #2Peramalan Data Time Series #2
Peramalan Data Time Series #2Adhitya Akbar
 
Thermal stratification in cfd modelling for wind resource assessment
Thermal stratification in cfd modelling for wind resource assessmentThermal stratification in cfd modelling for wind resource assessment
Thermal stratification in cfd modelling for wind resource assessmentJean-Claude Meteodyn
 
Peclet Number HDS Sizing Method for Stormwater Treatment
Peclet Number HDS Sizing Method for Stormwater TreatmentPeclet Number HDS Sizing Method for Stormwater Treatment
Peclet Number HDS Sizing Method for Stormwater TreatmentAquaShield, Inc.
 
Tarea 2 hidraulica iii-cabrera arias roberto alejandro
Tarea 2 hidraulica iii-cabrera arias roberto alejandroTarea 2 hidraulica iii-cabrera arias roberto alejandro
Tarea 2 hidraulica iii-cabrera arias roberto alejandroAlejandro Cabrera
 
MOSFET Model PSpice vs. Micro-Cap using TOSHIBA MOSFET
MOSFET Model PSpice vs. Micro-Cap using TOSHIBA MOSFETMOSFET Model PSpice vs. Micro-Cap using TOSHIBA MOSFET
MOSFET Model PSpice vs. Micro-Cap using TOSHIBA MOSFETTsuyoshi Horigome
 

Similar to IAHR 2015 - Validation of SWAN under extreme conditions in the Wadden Sea, Camarena, Deltares, 30062015 (20)

LVDT cell stress measurements for insitu rock stress measurement
LVDT cell stress measurements for insitu rock stress measurementLVDT cell stress measurements for insitu rock stress measurement
LVDT cell stress measurements for insitu rock stress measurement
 
KalmanForecast
KalmanForecastKalmanForecast
KalmanForecast
 
hema h.pptx
hema h.pptxhema h.pptx
hema h.pptx
 
Enflasyon forecast
Enflasyon forecastEnflasyon forecast
Enflasyon forecast
 
Electronic relays
Electronic relaysElectronic relays
Electronic relays
 
LED panel light test report, IES TEST REPORT
LED panel light test report, IES TEST REPORTLED panel light test report, IES TEST REPORT
LED panel light test report, IES TEST REPORT
 
FINAL_Flood_Routing_through_Reservoirs_a.pptx
FINAL_Flood_Routing_through_Reservoirs_a.pptxFINAL_Flood_Routing_through_Reservoirs_a.pptx
FINAL_Flood_Routing_through_Reservoirs_a.pptx
 
Quishpe mireya practica6
Quishpe mireya practica6Quishpe mireya practica6
Quishpe mireya practica6
 
Msc Thesis Final1
Msc Thesis Final1Msc Thesis Final1
Msc Thesis Final1
 
TWEEP2015_SFernandez
TWEEP2015_SFernandezTWEEP2015_SFernandez
TWEEP2015_SFernandez
 
Centennial Talk Hydrates
Centennial Talk HydratesCentennial Talk Hydrates
Centennial Talk Hydrates
 
Portofolio jacket platform dynamic analysis
Portofolio jacket platform dynamic analysisPortofolio jacket platform dynamic analysis
Portofolio jacket platform dynamic analysis
 
Ass 1 12-46 report engineering dynamics problem
Ass 1  12-46 report engineering dynamics problemAss 1  12-46 report engineering dynamics problem
Ass 1 12-46 report engineering dynamics problem
 
Mutt_Wind_Tunnel_Results_v2
Mutt_Wind_Tunnel_Results_v2Mutt_Wind_Tunnel_Results_v2
Mutt_Wind_Tunnel_Results_v2
 
Peramalan Data Time Series #2
Peramalan Data Time Series #2Peramalan Data Time Series #2
Peramalan Data Time Series #2
 
Thermal stratification in cfd modelling for wind resource assessment
Thermal stratification in cfd modelling for wind resource assessmentThermal stratification in cfd modelling for wind resource assessment
Thermal stratification in cfd modelling for wind resource assessment
 
Sewer sediment halcrow apr08
Sewer sediment halcrow apr08Sewer sediment halcrow apr08
Sewer sediment halcrow apr08
 
Peclet Number HDS Sizing Method for Stormwater Treatment
Peclet Number HDS Sizing Method for Stormwater TreatmentPeclet Number HDS Sizing Method for Stormwater Treatment
Peclet Number HDS Sizing Method for Stormwater Treatment
 
Tarea 2 hidraulica iii-cabrera arias roberto alejandro
Tarea 2 hidraulica iii-cabrera arias roberto alejandroTarea 2 hidraulica iii-cabrera arias roberto alejandro
Tarea 2 hidraulica iii-cabrera arias roberto alejandro
 
MOSFET Model PSpice vs. Micro-Cap using TOSHIBA MOSFET
MOSFET Model PSpice vs. Micro-Cap using TOSHIBA MOSFETMOSFET Model PSpice vs. Micro-Cap using TOSHIBA MOSFET
MOSFET Model PSpice vs. Micro-Cap using TOSHIBA MOSFET
 

More from Deltares

DSD-INT 2023 Hydrology User Days - Intro - Day 3 - Kroon
DSD-INT 2023 Hydrology User Days - Intro - Day 3 - KroonDSD-INT 2023 Hydrology User Days - Intro - Day 3 - Kroon
DSD-INT 2023 Hydrology User Days - Intro - Day 3 - KroonDeltares
 
DSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin Rodriguez
DSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin RodriguezDSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin Rodriguez
DSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin RodriguezDeltares
 
DSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - Taner
DSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - TanerDSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - Taner
DSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - TanerDeltares
 
DSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - Rooze
DSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - RoozeDSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - Rooze
DSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - RoozeDeltares
 
DSD-INT 2023 Approaches for assessing multi-hazard risk - Ward
DSD-INT 2023 Approaches for assessing multi-hazard risk - WardDSD-INT 2023 Approaches for assessing multi-hazard risk - Ward
DSD-INT 2023 Approaches for assessing multi-hazard risk - WardDeltares
 
DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...
DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...
DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...Deltares
 
DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...
DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...
DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...Deltares
 
DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...
DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...
DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...Deltares
 
DSD-INT 2023 Knowledge and tools for Climate Adaptation - Jeuken
DSD-INT 2023 Knowledge and tools for Climate Adaptation - JeukenDSD-INT 2023 Knowledge and tools for Climate Adaptation - Jeuken
DSD-INT 2023 Knowledge and tools for Climate Adaptation - JeukenDeltares
 
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - BootsmaDSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - BootsmaDeltares
 
DSD-INT 2023 Create your own MODFLOW 6 sub-variant - Muller
DSD-INT 2023 Create your own MODFLOW 6 sub-variant - MullerDSD-INT 2023 Create your own MODFLOW 6 sub-variant - Muller
DSD-INT 2023 Create your own MODFLOW 6 sub-variant - MullerDeltares
 
DSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - Romero
DSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - RomeroDSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - Romero
DSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - RomeroDeltares
 
DSD-INT 2023 Challenges and developments in groundwater modeling - Bakker
DSD-INT 2023 Challenges and developments in groundwater modeling - BakkerDSD-INT 2023 Challenges and developments in groundwater modeling - Bakker
DSD-INT 2023 Challenges and developments in groundwater modeling - BakkerDeltares
 
DSD-INT 2023 Demo new features iMOD Suite - van Engelen
DSD-INT 2023 Demo new features iMOD Suite - van EngelenDSD-INT 2023 Demo new features iMOD Suite - van Engelen
DSD-INT 2023 Demo new features iMOD Suite - van EngelenDeltares
 
DSD-INT 2023 iMOD and new developments - Davids
DSD-INT 2023 iMOD and new developments - DavidsDSD-INT 2023 iMOD and new developments - Davids
DSD-INT 2023 iMOD and new developments - DavidsDeltares
 
DSD-INT 2023 Recent MODFLOW Developments - Langevin
DSD-INT 2023 Recent MODFLOW Developments - LangevinDSD-INT 2023 Recent MODFLOW Developments - Langevin
DSD-INT 2023 Recent MODFLOW Developments - LangevinDeltares
 
DSD-INT 2023 Hydrology User Days - Presentations - Day 2
DSD-INT 2023 Hydrology User Days - Presentations - Day 2DSD-INT 2023 Hydrology User Days - Presentations - Day 2
DSD-INT 2023 Hydrology User Days - Presentations - Day 2Deltares
 
DSD-INT 2023 Needs related to user interfaces - Snippen
DSD-INT 2023 Needs related to user interfaces - SnippenDSD-INT 2023 Needs related to user interfaces - Snippen
DSD-INT 2023 Needs related to user interfaces - SnippenDeltares
 
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - BootsmaDSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - BootsmaDeltares
 
DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...
DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...
DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...Deltares
 

More from Deltares (20)

DSD-INT 2023 Hydrology User Days - Intro - Day 3 - Kroon
DSD-INT 2023 Hydrology User Days - Intro - Day 3 - KroonDSD-INT 2023 Hydrology User Days - Intro - Day 3 - Kroon
DSD-INT 2023 Hydrology User Days - Intro - Day 3 - Kroon
 
DSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin Rodriguez
DSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin RodriguezDSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin Rodriguez
DSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin Rodriguez
 
DSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - Taner
DSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - TanerDSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - Taner
DSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - Taner
 
DSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - Rooze
DSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - RoozeDSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - Rooze
DSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - Rooze
 
DSD-INT 2023 Approaches for assessing multi-hazard risk - Ward
DSD-INT 2023 Approaches for assessing multi-hazard risk - WardDSD-INT 2023 Approaches for assessing multi-hazard risk - Ward
DSD-INT 2023 Approaches for assessing multi-hazard risk - Ward
 
DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...
DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...
DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...
 
DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...
DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...
DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...
 
DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...
DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...
DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...
 
DSD-INT 2023 Knowledge and tools for Climate Adaptation - Jeuken
DSD-INT 2023 Knowledge and tools for Climate Adaptation - JeukenDSD-INT 2023 Knowledge and tools for Climate Adaptation - Jeuken
DSD-INT 2023 Knowledge and tools for Climate Adaptation - Jeuken
 
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - BootsmaDSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
 
DSD-INT 2023 Create your own MODFLOW 6 sub-variant - Muller
DSD-INT 2023 Create your own MODFLOW 6 sub-variant - MullerDSD-INT 2023 Create your own MODFLOW 6 sub-variant - Muller
DSD-INT 2023 Create your own MODFLOW 6 sub-variant - Muller
 
DSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - Romero
DSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - RomeroDSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - Romero
DSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - Romero
 
DSD-INT 2023 Challenges and developments in groundwater modeling - Bakker
DSD-INT 2023 Challenges and developments in groundwater modeling - BakkerDSD-INT 2023 Challenges and developments in groundwater modeling - Bakker
DSD-INT 2023 Challenges and developments in groundwater modeling - Bakker
 
DSD-INT 2023 Demo new features iMOD Suite - van Engelen
DSD-INT 2023 Demo new features iMOD Suite - van EngelenDSD-INT 2023 Demo new features iMOD Suite - van Engelen
DSD-INT 2023 Demo new features iMOD Suite - van Engelen
 
DSD-INT 2023 iMOD and new developments - Davids
DSD-INT 2023 iMOD and new developments - DavidsDSD-INT 2023 iMOD and new developments - Davids
DSD-INT 2023 iMOD and new developments - Davids
 
DSD-INT 2023 Recent MODFLOW Developments - Langevin
DSD-INT 2023 Recent MODFLOW Developments - LangevinDSD-INT 2023 Recent MODFLOW Developments - Langevin
DSD-INT 2023 Recent MODFLOW Developments - Langevin
 
DSD-INT 2023 Hydrology User Days - Presentations - Day 2
DSD-INT 2023 Hydrology User Days - Presentations - Day 2DSD-INT 2023 Hydrology User Days - Presentations - Day 2
DSD-INT 2023 Hydrology User Days - Presentations - Day 2
 
DSD-INT 2023 Needs related to user interfaces - Snippen
DSD-INT 2023 Needs related to user interfaces - SnippenDSD-INT 2023 Needs related to user interfaces - Snippen
DSD-INT 2023 Needs related to user interfaces - Snippen
 
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - BootsmaDSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
 
DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...
DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...
DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...
 

Recently uploaded

Pests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdf
Pests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdfPests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdf
Pests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdfPirithiRaju
 
Applied Biochemistry feedback_M Ahwad 2023.docx
Applied Biochemistry feedback_M Ahwad 2023.docxApplied Biochemistry feedback_M Ahwad 2023.docx
Applied Biochemistry feedback_M Ahwad 2023.docxmarwaahmad357
 
World Water Day 22 March 2024 - kiyorndlab
World Water Day 22 March 2024 - kiyorndlabWorld Water Day 22 March 2024 - kiyorndlab
World Water Day 22 March 2024 - kiyorndlabkiyorndlab
 
Identification of Superclusters and Their Properties in the Sloan Digital Sky...
Identification of Superclusters and Their Properties in the Sloan Digital Sky...Identification of Superclusters and Their Properties in the Sloan Digital Sky...
Identification of Superclusters and Their Properties in the Sloan Digital Sky...Sérgio Sacani
 
Substances in Common Use for Shahu College Screening Test
Substances in Common Use for Shahu College Screening TestSubstances in Common Use for Shahu College Screening Test
Substances in Common Use for Shahu College Screening TestAkashDTejwani
 
001 Case Study - Submission Point_c1051231_attempt_2023-11-23-14-08-42_ABS CW...
001 Case Study - Submission Point_c1051231_attempt_2023-11-23-14-08-42_ABS CW...001 Case Study - Submission Point_c1051231_attempt_2023-11-23-14-08-42_ABS CW...
001 Case Study - Submission Point_c1051231_attempt_2023-11-23-14-08-42_ABS CW...marwaahmad357
 
M.Pharm - Question Bank - Drug Delivery Systems
M.Pharm - Question Bank - Drug Delivery SystemsM.Pharm - Question Bank - Drug Delivery Systems
M.Pharm - Question Bank - Drug Delivery SystemsSumathi Arumugam
 
KeyBio pipeline for bioinformatics and data science
KeyBio pipeline for bioinformatics and data scienceKeyBio pipeline for bioinformatics and data science
KeyBio pipeline for bioinformatics and data scienceLayne Sadler
 
THE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptx
THE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptxTHE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptx
THE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptxAkinrotimiOluwadunsi
 
Principles & Formulation of Hair Care Products
Principles & Formulation of Hair Care  ProductsPrinciples & Formulation of Hair Care  Products
Principles & Formulation of Hair Care Productspurwaborkar@gmail.com
 
Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...
Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...
Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...Sérgio Sacani
 
MARSILEA notes in detail for II year Botany.ppt
MARSILEA  notes in detail for II year Botany.pptMARSILEA  notes in detail for II year Botany.ppt
MARSILEA notes in detail for II year Botany.pptaigil2
 
Pests of Redgram_Identification, Binomics_Dr.UPR
Pests of Redgram_Identification, Binomics_Dr.UPRPests of Redgram_Identification, Binomics_Dr.UPR
Pests of Redgram_Identification, Binomics_Dr.UPRPirithiRaju
 
Basic Concepts in Pharmacology in molecular .pptx
Basic Concepts in Pharmacology in molecular  .pptxBasic Concepts in Pharmacology in molecular  .pptx
Basic Concepts in Pharmacology in molecular .pptxVijayaKumarR28
 
soft skills question paper set for bba ca
soft skills question paper set for bba casoft skills question paper set for bba ca
soft skills question paper set for bba caohsadfeeling
 
Role of herbs in hair care Amla and heena.pptx
Role of herbs in hair care  Amla and  heena.pptxRole of herbs in hair care  Amla and  heena.pptx
Role of herbs in hair care Amla and heena.pptxVaishnaviAware
 
Legacy Analysis of Dark Matter Annihilation from the Milky Way Dwarf Spheroid...
Legacy Analysis of Dark Matter Annihilation from the Milky Way Dwarf Spheroid...Legacy Analysis of Dark Matter Annihilation from the Milky Way Dwarf Spheroid...
Legacy Analysis of Dark Matter Annihilation from the Milky Way Dwarf Spheroid...Sérgio Sacani
 
Main Exam Applied biochemistry final year
Main Exam Applied biochemistry final yearMain Exam Applied biochemistry final year
Main Exam Applied biochemistry final yearmarwaahmad357
 
Application of Foraminiferal Ecology- Rahul.pptx
Application of Foraminiferal Ecology- Rahul.pptxApplication of Foraminiferal Ecology- Rahul.pptx
Application of Foraminiferal Ecology- Rahul.pptxRahulVishwakarma71547
 

Recently uploaded (20)

Pests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdf
Pests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdfPests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdf
Pests of wheat_Identification, Bionomics, Damage symptoms, IPM_Dr.UPR.pdf
 
Applied Biochemistry feedback_M Ahwad 2023.docx
Applied Biochemistry feedback_M Ahwad 2023.docxApplied Biochemistry feedback_M Ahwad 2023.docx
Applied Biochemistry feedback_M Ahwad 2023.docx
 
World Water Day 22 March 2024 - kiyorndlab
World Water Day 22 March 2024 - kiyorndlabWorld Water Day 22 March 2024 - kiyorndlab
World Water Day 22 March 2024 - kiyorndlab
 
Identification of Superclusters and Their Properties in the Sloan Digital Sky...
Identification of Superclusters and Their Properties in the Sloan Digital Sky...Identification of Superclusters and Their Properties in the Sloan Digital Sky...
Identification of Superclusters and Their Properties in the Sloan Digital Sky...
 
Substances in Common Use for Shahu College Screening Test
Substances in Common Use for Shahu College Screening TestSubstances in Common Use for Shahu College Screening Test
Substances in Common Use for Shahu College Screening Test
 
001 Case Study - Submission Point_c1051231_attempt_2023-11-23-14-08-42_ABS CW...
001 Case Study - Submission Point_c1051231_attempt_2023-11-23-14-08-42_ABS CW...001 Case Study - Submission Point_c1051231_attempt_2023-11-23-14-08-42_ABS CW...
001 Case Study - Submission Point_c1051231_attempt_2023-11-23-14-08-42_ABS CW...
 
M.Pharm - Question Bank - Drug Delivery Systems
M.Pharm - Question Bank - Drug Delivery SystemsM.Pharm - Question Bank - Drug Delivery Systems
M.Pharm - Question Bank - Drug Delivery Systems
 
KeyBio pipeline for bioinformatics and data science
KeyBio pipeline for bioinformatics and data scienceKeyBio pipeline for bioinformatics and data science
KeyBio pipeline for bioinformatics and data science
 
THE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptx
THE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptxTHE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptx
THE HISTOLOGY OF THE CARDIOVASCULAR SYSTEM 2024.pptx
 
Principles & Formulation of Hair Care Products
Principles & Formulation of Hair Care  ProductsPrinciples & Formulation of Hair Care  Products
Principles & Formulation of Hair Care Products
 
Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...
Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...
Digitized Continuous Magnetic Recordings for the August/September 1859 Storms...
 
MARSILEA notes in detail for II year Botany.ppt
MARSILEA  notes in detail for II year Botany.pptMARSILEA  notes in detail for II year Botany.ppt
MARSILEA notes in detail for II year Botany.ppt
 
Cheminformatics tools and chemistry data underpinning mass spectrometry analy...
Cheminformatics tools and chemistry data underpinning mass spectrometry analy...Cheminformatics tools and chemistry data underpinning mass spectrometry analy...
Cheminformatics tools and chemistry data underpinning mass spectrometry analy...
 
Pests of Redgram_Identification, Binomics_Dr.UPR
Pests of Redgram_Identification, Binomics_Dr.UPRPests of Redgram_Identification, Binomics_Dr.UPR
Pests of Redgram_Identification, Binomics_Dr.UPR
 
Basic Concepts in Pharmacology in molecular .pptx
Basic Concepts in Pharmacology in molecular  .pptxBasic Concepts in Pharmacology in molecular  .pptx
Basic Concepts in Pharmacology in molecular .pptx
 
soft skills question paper set for bba ca
soft skills question paper set for bba casoft skills question paper set for bba ca
soft skills question paper set for bba ca
 
Role of herbs in hair care Amla and heena.pptx
Role of herbs in hair care  Amla and  heena.pptxRole of herbs in hair care  Amla and  heena.pptx
Role of herbs in hair care Amla and heena.pptx
 
Legacy Analysis of Dark Matter Annihilation from the Milky Way Dwarf Spheroid...
Legacy Analysis of Dark Matter Annihilation from the Milky Way Dwarf Spheroid...Legacy Analysis of Dark Matter Annihilation from the Milky Way Dwarf Spheroid...
Legacy Analysis of Dark Matter Annihilation from the Milky Way Dwarf Spheroid...
 
Main Exam Applied biochemistry final year
Main Exam Applied biochemistry final yearMain Exam Applied biochemistry final year
Main Exam Applied biochemistry final year
 
Application of Foraminiferal Ecology- Rahul.pptx
Application of Foraminiferal Ecology- Rahul.pptxApplication of Foraminiferal Ecology- Rahul.pptx
Application of Foraminiferal Ecology- Rahul.pptx
 

IAHR 2015 - Validation of SWAN under extreme conditions in the Wadden Sea, Camarena, Deltares, 30062015

  • 1. IAHR World Congress 2015 Den Haag, 30th June 2015 Validation of SWAN under extreme conditions in the Wadden Sea Amaury Camarena Caroline Gautier Joana van Nieuwkoop
  • 3. Introduction • Hydraulic Boundary Conditions partly derived by the SWAN model. • Assess the performance of SWAN when simulating extreme conditions. 30 June 2015
  • 4. Study area Ameland Eastern Wadden Sea • Stationary SWAN computations: Storm 5th and 6th December 2013 • Several wave measuring devices available for comparison and validation 30 June 2015
  • 5. Available data and case selection Eight different times are selected to undertake stationary SWAN computations (pre, during, post storm). • Tidal phase • No large offshore temporal variation • Availability of data in buoys (buoys are shown by the different colors) 30 June 2015
  • 6. SWAN model setup -Wind input: HARMONIE -Wave input: Wave buoys -Water level and current input: Delft3D-Flow coupled with waves 30 June 2015
  • 7. SWAN settings A-series: Reference settings, including currents (based on the research carried out for the so-called ‘Wettelijk toetsinstrumentarium’ (WTI) project). B-series: Reference settings, deactivating currents. C-series: Komen wind growth and whitecapping with delta=1. These are the SWAN default settings in version 40.91.A. D-series: Komen wind growth and whitecapping with delta=0. Represent the previous default SWAN settings before version 40.91.A. E-series: Reference settings, without enhanced whitecapping due to currents (Cds3=0). 30 June 2015
  • 8. Results - Ameland • * represent the measured value at the time of the event • + shows 1 hour after • □ 1 hour before 30 June 2015
  • 9. Results - Eastern Wadden Sea • * represent the measured value at the time of the event • + shows 1 hour after • □ 1 hour before 30 June 2015
  • 10. Statistical performance of SWAN - Ameland ID SETTINGS BIAS STANDARD DEVIATION ROOT MEAN SQUARE RELATIVE BIAS RELATIVE STANDARD DEVIATION NUMBER OF SAMPLES HM0 A Westh Cds3=0.8 -0.02 m 0.26 m 0.26 m -1.9 % 20.6 % 72 HM0 B Westh (no currents) -0.01 m 0.24 m 0.24 m -0.9 % 18.9 % 72 HM0 C Komen, δ=1 0.13 m 0.37 m 0.39 m 10.0 % 29.0 % 72 HM0 D Komen, δ=0 0.10 m 0.40 m 0.41 m 8.1 % 31.5 % 72 HM0 E Westh Cds3=0.0 0.04 m 0.29 m 0.29 m 3.5 % 23.1 % 72 TM-1,0 A Westh Cds3=0.8 -0.25 s 0.50 s 0.56 s -4.8 % 9.5 % 72 TM-1,0 B Westh (no currents) -0.41 s 0.65 s 0.77 s -7.9 % 12.4 % 72 TM-1,0 C Komen, δ=1 -0.43 s 0.71 s 0.83 s -8.3 % 13.6 % 72 TM-1,0 D Komen, δ=0 -0.86 s 0.77 s 1.15 s -16.5 % 14.7 % 72 TM-1,0 E Westh Cds3=0.0 -0.31 s 0.55 s 0.63 s -5.9 % 10.6 % 72 30 June 2015
  • 11. Statistical performance of SWAN - Eastern Wadden Sea ID SETTINGS BIAS STANDARD DEVIATION ROOT MEAN SQUARE RELATIVE BIAS RELATIVE STANDARD DEVIATION NUMBER OF SAMPLES HM0 A Westh Cds3=0.8 0.20 m 0.28 m 0.34 m 10.4 % 14.6 % 48 HM0 B Westh (no currents) 0.23 m 0.28 m 0.36 m 11.8 % 14.7 % 48 HM0 C Komen, δ=1 0.35 m 0.40 m 0.53 m 18.6 % 21.1 % 48 HM0 D Komen, δ=0 0.55 m 0.55 m 0.77 m 29.0 % 28.7 % 48 HM0 E Westh Cds3=0.0 0.27 m 0.30 m 0.40 m 14.3 % 15.9 % 48 TM-1,0 A Westh Cds3=0.8 -0.3 s 0.6 s 0.7 s -5.2 % 9.7 % 48 TM-1,0 B Westh (no currents) -0.5 s 0.8 s 0.9 s -7.4 % 11.6 % 48 TM-1,0 C Komen, δ=1 -0.9 s 0.8 s 1.2 s -14.1 % 11.9 % 48 TM-1,0 D Komen, δ=0 -1.5 s 1.1 s 1.9 s -22.7 % 16.6 % 48 TM-1,0 E Westh Cds3=0.0 -0.6 s 0.6 s 0.8 s -8.3 % 9.5 % 48 30 June 2015
  • 12. Conclusions • The reference settings (Series-A) perform significantly better than the standard SWAN settings especially in areas with mixed swell and wind- sea conditions. • The present default SWAN settings (version 40.91.A), which includes Komen wind growth and whitecapping with delta=1 (C-series), give a better approximation of wave conditions than previous settings (Komen with delta=0, D-series) during extreme events on areas dominated by wind sea and swell like the Wadden Sea. • Whitecapping formulation and associated calibration parameters strongly influence the results of the SWAN model. • Although the effect of currents on wave growth is limited, it cannot be omitted. • Overall it is concluded that SWAN is a high quality tool to compute nearshore waves during storms in the Wadden Sea when the adequate combination of settings is used. 30 June 2015
  • 13. Questions? 30 June 2015 Amaury Camarena Calderon Consultant / Researcher T +31(0)88335 8029 E amaury.camarenacalderon@deltares.nl www.deltares.com P.O.Box 177 2600 MH Delft The Netherlands
  • 14. Results - SWAN (series A) vs measurements AZB11 AZB 31 AZB 41 AZB 51 AZB 61 AZB 12 (G1A) AZB 12 (G2A) AZB 22 AZB 32 AZB 42 AZB 52 AZB 62 T1A 0.13 -0.07 0.06 0.06 0.27 0.06 -0.01 -0.17 0.07 0.18 -0.26 -0.20 T2A 0.14 -0.07 -0.05 -0.08 0.09 0.10 0.00 -0.22 0.19 0.14 0.11 0.03 T3A 0.04 0.10 -0.01 -0.01 0.33 0.16 0.00 -0.25 0.14 0.06 0.03 0.06 T4A 0.16 -0.09 -0.02 -0.15 0.06 0.11 0.00 -0.31 -0.14 0.28 -0.17 -0.21 T5A -0.01 -0.02 0.33 0.27 0.39 -0.04 0.10 0.04 0.06 0.04 0.17 0.47 T6A -0.01 -0.16 -0.17 -0.15 0.08 -0.06 0.00 -0.37 -0.21 0.16 0.03 -0.09 T7A -0.05 0.20 0.10 0.06 0.35 0.02 0.00 -0.27 0.07 0.34 0.07 0.11 T8A 0.05 0.18 0.50 0.50 0.91 0.02 0.00 -0.38 -0.01 0.29 0.42 0.04 BRKN (G1E) BRKN (G2E) WEW WEO RZGN OWEN OWEZ UHW2 LAUOT BOSZ PBW T1E 0.00 -0.01 -0.04 0.14 0.36 0.69 0.36 0.58 0.30 0.20 0.25 T2E 0.02 0.00 -0.05 0.01 0.39 0.51 0.73 0.14 0.27 0.10 0.15 T3E -0.02 0.00 0.13 -0.05 0.39 0.21 0.23 0.27 0.15 0.00 0.08 T4E 0.02 0.00 -0.05 0.12 0.15 0.12 0.59 -0.22 0.11 -0.13 -0.12 T5E 0.01 0.00 -0.24 0.06 0.18 0.86 0.89 -0.07 0.02 0.03 0.23 T6E -0.02 0.00 -0.15 -0.04 0.02 -0.04 0.36 0.03 0.16 0.04 0.21 T7E -0.01 0.00 0.07 0.03 0.09 0.44 0.56 -0.15 0.16 -0.11 -0.06 T8E 0.01 0.00 -0.07 0.14 0.37 0.71 1.04 -0.19 0.25 0.09 0.11 30 June 2015