Session of the wmo-ioc joint Technical Commission for Oceanography and Marine Meteorology (jcomm) agreed that it would be logical to transform the wmo wave Programme into the jcomm wind Wave and Storm Surge Programme



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Hindcast database

Different ways of creating a hindcast database on storm surges are evidenced. Database maintained from operational runs, whose records depend on the period of operation of the models and hence are not very extensive. Eight years of data on this modality were reported at most. Case studies of extreme events are almost always done after the event and usually done for model assessment. These kinds of studies do not (and are not intended for) ensure completeness for climatology on extreme events. Except for in a few cases, models used are the same as operational. On the other hand, extensive hindcasted databases are reported as outcome of two European Projects, Hong Kong and Russia.


Table 9.2: Hindcast database on storm surges.


source

model

Period

country

EU HIPOCAS proj.

operational



HAMSOM

Nivmar


1958-2002

1998 - pres.



Spain

EU STOWASUS-2100 project. Further info

http://web.dmi.dk/pub/STOWASUS-2100/

climate storm surge model non op.

web

reference



Denmark

events - case studies

operational

1998-pres.

Events


Japan

Case studies

operational

1997-pres

Korea

continuous and case studies

operational

2002 - 2004

2005 - pres



Argentina

case studies

operational

1962

1999


Germany

case studies

simulations



operational

1940-2004

Kazakhstan

case studies

operational

1999

France

extensive

operational

1947-2004

Hong Kong, China

extensive and case studies

operational

1948-2004


Russia

maximum envelope of surge water








India


EU STOWASUS







U.K.



    1. Operational / pre-operational Numerical Models

Only 25 % of the responses reported not running an operational / pre-operational storm surge model. The information collected on storm surge models in use is extensive and complete and is detailed in tables below. A wide variety of uses of sea level observations in real time in conjunction with the numerical prediction is also evidenced, that is: forecast bias correction, initial conditions (assimilation), blending in bulletins with the forecasts, application of regression and empirical methods, model validation.



      1. Models Characteristics

It is noted that about 75 % of applications are using 2 D models some of them use nested finer grids. Resolution ranges from 10 / 20 km for regional models and 1 km or finer nested grids in the coastal regions. Table 9.3 compiles the information received.


Table 9.3: Operational / pre-operational storm surge models features.


Model

Area

Type

Grid

country

HAMSOM/Nivmar

Med.sea and Iberian Peninsula

Vertically integrated barotropic

10 minutes

Spain

Mike 21

pre-op. 3D

2 D finite element MOG2D


North Sea, Baltic Sea

2 D hydrodynamic

finite diff. 9nm-3nm-1nm-1/3nm

Denmark

Coupled Ice-Ocean

NPAC


Grand Banks, Newfoundland, Labrador
NE Pacific

120-160W, 40-62 N


3-D circulation based on Princeton Ocean Model



20 km x 20 km aprox.
finite diff. curvilinear c-grid 1/8 deg.

Canada


JMA Storm Surge

23.5 N-46.5 N

122.5 E-146.5 E



2 D linearized shallow water

staggered Arakawa C-grid

1 min. lat/lon



Japan

KMA Storm Surge

20 N-50 N

115E-150E



2-D barotropic surge and tidal current based on Princeton Ocean Model

8 km x 8 km aprox.

finite diff. curvilinear c-grid 1/12 deg.



Korea

NIVELMAR

Portuguese mainland coastal

Shallow water

1min lat/lon

Portugal

SMARA storm surge

shelf sea 32-55 S 51-70 W

Rio de la Plata



2 D depth averaged

geographical Arakawa C

1/3 deg. lat/lon

1/20 deg, lat/lon


Argentina

BSH circulation (BSHcmod)


BSH surge (BSHsmod)

NE Atlantic, North Sea,Baltic


3 D hydrostatic circulation


2 D barotropic surge

Reg.spherical

North Sea, Baltic 6 nm

German Bight, Western Baltic, 1nm

Surge North Sea 6nm

NE Atlantic 24 nm

Germany


Caspian Storm Surge

Caspian Sea 36؛-48.5 ؛ N, 45؛- 58؛ E

North Caspian Sea 44.2؛-48 N, 46.5 -55.1 E



2 D hydrodynamic, based on MIKE 21 (DHI Water & Environment)

10km
2 km


Kazakhstan

HIROMB/NOAA

NE Atlantic, Baltic

3 D baroclinic

C-grid, 24nm

Sweden

WAQUA-in-Simona/DCSM98

continental shelf 48N-62N, 12W-13 E

2D shallow water, ADI method, Kalmanfilter data assimilation

lat/lon, 1/8 deg. lon x 1/12 deg lat

Netherlands

derived from MOTHY oil spill drifts model



Near Europe Atlantic ( gulf of Biscay, Channel and North Sea ) 8°30’ W - 10° E, 43°N - 59°N;
West Mediterranean basin ( from Gibraltar strait to Sicily)
Restricted area in oversea departments and territories

shallow water equations



Arakawa c grid;

5’ ( 5 to 9 km )

finer meshes


France


SLOSH (Sea, Lake and Overland Surges from Hurricanes)

sea south of Hong Kong within 130 km

finite difference

Polar, 1km near to 7 km South China Sea

Hong Kong, China

Short-Term Sea Level and Current Forecast

Caspian Sea and near shore low lying zones

3 D Hydrodynamic baroclinic

3 nm horizontal, 19 levels

Russia

IIT Delhi, IIT Chennai, NIOT Chennai

east and west coasts of India and high resol. areas

non-linear

finite element

explicit finite element


Eg. for inundation model average spacing of 12.8 km offshore direction and 18.42 km along shore

India

CS3 tide-surge

NW European shelf waters

Finite difference, vertically averaged

C grid 12 km

nested finer resol.



U.K.





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