Download - I Hcantabria Datasets
Wind, Sea level & Wave Datasets
November 2011
REQUIREMENTS:
• High quality data (mean / extremes)
• Long time series
• High temporal resolution
• Good spatial distribution (global / regional / local)
• Local characterization (from offshore to nearshore)
Engineering applicationsDesign, maintenance, problems
Climate analysisVariability, forecast, projections
Risk assessmentcoastal impact
Management
• Dataset required for estimation of ocean climate
• Calibration / validation techniques and methods
• Downscaling (from global to regional to local)
• Climate variability (at different temporal/spatial scales)
• Risk analysis (impact due to climate change)
1. Wind data SeaWind (SW)
2. Offshore wave data Global Ocean Waves (GOW)
3. Nearshore wave data Downscaling of Ocean Waves (DOW)
4. Surge data (sea level) Global Ocean Surge (GOS)
DATABASESDATABASES
Research Interests of the Climate IH‐team:
Downscaled offshore WindsSeawind (SW)
SWSeaWind reanalysis
[Menendez et al. 2011]
DynamicDownscalling
Global
Local
DOWNSCALINGDOWNSCALING
Regional
SWSeaWind reanalysis
Spatial domain: Regional
SWSeaWind reanalysis
Spatial domain: Regional
With the best physics configuration, we test the performance of wind simulations on a small domain at higher resolution (<2 km).
SWSeaWind reanalysis
Dataset Validation
SWSeaWind reanalysis
Dataset Validation
SWSeaWind reanalysis
Dataset Validation
SWSeaWind reanalysis
Dataset Validation
[Espejo et al. 2011]
SWSeaWind reanalysis
Offshore wave dataGlobal Ocean Waves (GOW)
Global Winds Global Ice
Generation of Waves
Preliminary Validation
Calibration
Validation of results
Buoy data Satellite data
Apps
GOWGlobal Ocean Waves reanalysis
GOWGlobal Ocean Waves reanalysis
Spatial domain:Global
[Reguero et al. 2011 a,b]
Validation of numerical modeling with dataset from satellite and buoy measurements
Dataset Validation
GOWGlobal Ocean Waves reanalysis
[Reguero et al. 2011 a]
0.25º
0.5º
0.5º
Spatial domain: Regional
GOWGlobal Ocean Waves reanalysis
GOWGlobal Ocean Waves reanalysis
Spatial domain: Regional
Dataset Validation
Dataset Validation
GOWGlobal Ocean Waves reanalysis
GOW‐SW‐EraIntGOW‐SW‐NCEP
Rii
i
bC R Rs i i s iH a H
Calibration (correction with altimeter data) [Minguez et al. 2011b]
GOWGlobal Ocean Waves reanalysis
Identification of outliers(hurricanes and tropical cyclones) [Minguez et al. 2011a]
Temporal series of different wave climate parameters
GOWGlobal Ocean Waves reanalysis
Spatial domain: Local
GOWGlobal Ocean Waves reanalysis
GOW outputs:
Nearshore wave dataDownscaled Ocean Waves (DOW)
Historicaldata bases
Selection
Reconstruction
Propagation
Wave climate
Validation
SWAN
K-means
RBF
•Inputs: energy spectra (offshore)•Downscaling with hybrid method •Reconstruction & validation nearshore
DOWDownscaled Ocean Waves
GOW – Spain.
[Camus et al., 2011]
Historicaldata bases
Selection
Reconstruction
Propagation
Wave climate
Validation
SWAN
K-means
N-Dim. Interp.
•Inputs: energy spectra (offshore)•Downscaling with hybrid method •Reconstruction & validation nearshore
DOWDownscaled Ocean Waves
SWAN
Nearshore processes:•Refraction•Shoaling•Wave breaking•Diffraction
Spatial scale of interest=100 m
DOWDownscaled Ocean Waves
Historicaldata bases
Selection
Reconstruction
Propagation
Wave climate
Validation
X i H i ,Ti , i ,Wi ,i ;i 1,..., N
DOWDownscaled Ocean Waves
Historicaldata bases
Selection
Reconstruction
Propagation
Wave climate
Validation
Local wave propagations: SWAN
DOWDownscaled Ocean Waves
Historicaldata bases
Selection
Reconstruction
Propagation
Wave climate
ValidationRBF X i p X i a j X i D j j 1
M
p X i b0 b1H i b2Ti b3i b4Wi b5i
X i D j exp X i D j
2
2c 2
Radial Basis Functions
DOWDownscaled Ocean Waves
DOWDownscaled Ocean Waves
DOWDownscaled Ocean Waves
DOWDownscaled Ocean Waves
Spatial domain:local
DOWDownscaled Ocean Waves
DOWDownscaled Ocean Waves
from ~275m to ~45mCanarias IslandsSW-NCEPDOW-SWNCEP
from ~500m to ~90mAtlantic cost of SpainSW-NCEPDOW-SWNCEP
from ~280m to ~55mMediterranean coast of SpainSW-NCEPDOW-SWNCEP
from ~280m to ~55mMediterranean coast of SpainSW-EraIntDOW-SWEraInt
~1KmBrasil CoastNCEP-NCARDOW-NCEP
from ~275m to ~45mCanarias IslandsNCEP-NCARDOW-NCEP
from ~500m to ~100mAtlantic coast of SpainNCEP-NCARDOW-NCEP
Spatial ResolutionMeshesForcingName
Storm Surge dataGlobal Ocean Surge (GOS)
GOSGlobal Ocean Surges
Spatial domain: regional
1/8º48742146.034 N25 N37 E-20 W
∆x (º)
Gridpoints
number(Y)
Gridpoints
number(X)
FinalLat.
InitialLat.
FinalLon.
InitialLon
GOS domain
GOSGlobal Ocean Surges
Málaga
Santander
Dataset Validation
Storm Surge
GOSGlobal Ocean Surges
Surge elevationSurge currents (v2D)
Surge elevationSurge currents (v2D)
Surge elevationSurge currents (v2D)
Surge elevation
OUTPUT
SEAWIND-NCEPCC: GOS 1.1
100 m1 h
1948-2009Fangar (Ebro delta)DOS 1.2(Downscaled Ocean Surge)
NCEP-NCARBC: Inverse Barometer
1/4º1 h
1948-2008South America & Caribe
GOS 1.0
Seawind-EraInterimBC: Inverse Barometer
1/8º1 h
1989-2009SE Atlantic ocean &Mediterranean Sea
GOS 2.1
SEAWIND-NCEPBC: Inverse Barometer
1/8º1 h
1948-2009SE Atlantic ocean &Mediterranean Sea
GOS 1.1
RESOLUTIONNAME TIME PERIOD
FORCINGREGION
GOSGlobal Ocean Surges
Model: Armonic forecast TOPEX (10 componentes)
(H): 5km1 h
1948-2010South America & Caribe
GOT1D:Tide(eta)
(H): 1’(V): 30 levels1 h
(H): 1/16º1 h
SPATIAL/TEMPORAL RESOLUTION
GOT3D: Tide(eta, u2D, v2D, u3D, v3D)
GOT2D:Tide(eta, u2D, v2D)
VARIABLE
Model: ROMSCC: TOPEX (10 components)
Model: ROMSCC: TOPEX (10 components)
2001
2001
PERIOD COMMENTS
SE Atlantic ocean &Mediterranean Sea
Biscay GulfCanarias IslandsSpanish Mediterranean Sea
LOCALIZATION
REANALYSIS
GOTGlobal Ocean Tide
Model: MEDiNA (DIECAST-rigid lid) Forzing: Climatologies:- T y S: MEDAR-MEDATLAS (1/5º, 25
levels, monthly means)- Wind: Hellerman (2º; medias mensuales;
Goddard Space Flight Center)
(H): Atlántico España:
1/4Golfo de Vizcaya:
1/16Mediterráneo: 1/8Estrecho: 1/24(V): 30 levels6 h (surface), 5 days averaged
(3D)
Año medioSE Atlantic oceanMediterranean SeaGibraltar Straight
Barocliniccurrents(u3D, v3D)
(H): 1/16(V): 71 levels1d: Daily mean
SPATIAL/TEMPORAL RESOLUTION
BarocliniccurrentsSSH, u3D, v3D, T, S, wind stress, heat flux, water flux and short wave radiation
VARIABLE
Model: OGCM (based on OPA model) Forzing: - T y S: MEDATLAS climatology (monthly
means)- Atmosphere: ECMWF (1985-1992:
reanalysis ERA-15 y 1993-2007: operational). E y P de NCEP-NCAR.
BC: Atlantic, 18ºWOwner: [email protected]
1985-2007
PERÍOD COMMENTS
Mediterranean Sea
LOCALIZATION
REANALISIS Currents