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1 A brief introduction to UMCES Chesapeake Bay Model Yun Li and Ming Li University of Maryland Center for Environmental Science VIMS, SURA Meeting Oct-1-2010

1 A brief introduction to UMCES Chesapeake Bay Model Yun Li and Ming Li University of Maryland Center for Environmental Science VIMS, SURA Meeting Oct-1-2010

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Page 1: 1 A brief introduction to UMCES Chesapeake Bay Model Yun Li and Ming Li University of Maryland Center for Environmental Science VIMS, SURA Meeting Oct-1-2010

1

A brief introduction to

UMCES Chesapeake Bay Model

Yun Li and Ming Li

University of Maryland Center for Environmental Science

VIMS, SURA Meeting

Oct-1-2010

Page 2: 1 A brief introduction to UMCES Chesapeake Bay Model Yun Li and Ming Li University of Maryland Center for Environmental Science VIMS, SURA Meeting Oct-1-2010

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Grid

Forcingwind

river

SST (sea surface temperature)

Boundary

Model Sensitivitywind

background diffusivity

resolution

Outline

Page 3: 1 A brief introduction to UMCES Chesapeake Bay Model Yun Li and Ming Li University of Maryland Center for Environmental Science VIMS, SURA Meeting Oct-1-2010

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– Model domain includes mainstem, 8 major tributaries a piece of coastal ocean

– Curvilinear orthogonal grid

– 20 stretched layers

– Resolution Low (80x120) <1km in cross-channel 2~3km in along-channel deepest point is 26m.

High (160x240) <500m in cross-channel 0.5~2km in along-channel deepest point is 40.5m.

Deep channel is well resolved in the high-resolution model

Gri

d

Page 4: 1 A brief introduction to UMCES Chesapeake Bay Model Yun Li and Ming Li University of Maryland Center for Environmental Science VIMS, SURA Meeting Oct-1-2010

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Fo

rcin

g

– Wind Data Sourcehttp://www.wunderground.com

6 wind stations, hourly data

– Interpolationwind speed is linearly interpolated along latitude and longitude

– Wind speed to stress

where

– Amplification Factor (Xu et al. 2002; Wang and Johnson 2000)

UUCdair

310063.061.0 UCd

Station N-S comp E-W comp

NIA(KORF) 1.37 1.25

PRS(KNHK) 2.05 1.43

BWI(KBWI) 1.50 1.00

Wind

Page 5: 1 A brief introduction to UMCES Chesapeake Bay Model Yun Li and Ming Li University of Maryland Center for Environmental Science VIMS, SURA Meeting Oct-1-2010

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Fo

rcin

g

– River Data SourceUSGS monitoring stations, discharge (m3/s) and temperature (<monthly)

salinity is set to zero

– Major TributariesSusquehanna (1) 01578310Patapsco (3) 01583500 01586210 01586610Patuxent (1) 01594440Potomac (1) 01646500Rappahannock (1) 01668000York (2) 01673000 01674500James (3) 02037500 02041650 02042500Choptank (1) 01491000

– Sea Level at Riverine Boundary

New CPP: PSOURCE_FSCHAPMAN allow incoming wave but avoid reflection

River

Page 6: 1 A brief introduction to UMCES Chesapeake Bay Model Yun Li and Ming Li University of Maryland Center for Environmental Science VIMS, SURA Meeting Oct-1-2010

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Fo

rcin

g

– SST Data SourceChesapeake Bay Program along-channel observation (monthly or biweekly)

– InterpolationSurface temperature (<1m) is linearly interpolated along latitude

– ConfigurationNew CPP: SST_RELAXATION (must undef QCORRECTION)Nudging is performed every 6 hours.

SST

Page 7: 1 A brief introduction to UMCES Chesapeake Bay Model Yun Li and Ming Li University of Maryland Center for Environmental Science VIMS, SURA Meeting Oct-1-2010

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Bo

un

da

ryModel only has open boundary at eastern edge.

– Data SourcesTidesFive major components M2, S2, N2, K1, O1 from Oregon State U. global inverse tidal model TPXO

Subtidal Sea Leveldetided component from NOAA historical data at Duck, NC

T and Slinear interpolation from WOA2005, monthly Levitus climatology

ubar and vbarzeros at boundary

– Configuration sea level: FSCHAPMAN 2D momentum: EAST_M2FLATHER 3D momentum: EAST_M3RADIATION T and S: EAST_TRADIATION EAST_TNUDGING (1 day)

Page 8: 1 A brief introduction to UMCES Chesapeake Bay Model Yun Li and Ming Li University of Maryland Center for Environmental Science VIMS, SURA Meeting Oct-1-2010

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Se

ns

itiv

ity

original wind

amplified wind

observation

Salinity, Nov 11, 1996

Wind

Along channel distribution in a low-runoff period.

Using the amplification factors, the model produces a well-mixed surface layer in better agreement with the observation

Page 9: 1 A brief introduction to UMCES Chesapeake Bay Model Yun Li and Ming Li University of Maryland Center for Environmental Science VIMS, SURA Meeting Oct-1-2010

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Se

ns

itiv

ity

10-4m2/s

5x10-5m2/s

10-5m2/s

10-6m2/s

Vertical Diffusivity

A comparison of along-channel salinity distribution between four model runs with different vertical diffusivity (Ks) shows that

– the stratification increases as Ks decreases.

– the along-channel salinity gradient increases as Ks decreases.

– model prediction becomes less sensitive when Ks is reduced below 10-5m2/s.

Page 10: 1 A brief introduction to UMCES Chesapeake Bay Model Yun Li and Ming Li University of Maryland Center for Environmental Science VIMS, SURA Meeting Oct-1-2010

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k-kl,80x120

k-kl,160x240

observation

Salinity, April 23, 1997

Resolution

Increasing model resolution is important to resolve the narrow deep channel, which is the main conduit for the landward salt transport.

Se

ns

itiv

ity

Page 11: 1 A brief introduction to UMCES Chesapeake Bay Model Yun Li and Ming Li University of Maryland Center for Environmental Science VIMS, SURA Meeting Oct-1-2010

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– Special features in UMCES Chesapeake Bay Model

1. Both low- and high-resolution configurations are available

2. Apply Chapman’s condition for sea level elevation at Riverine boundary to avoid wave reflection.

3. SST nudging to observation with a time scale of 6hr.

4. Using wind amplification factors, the model produces a well-mixed surface layer

– Areas of Improvement

1. Model resolution in the deep channel

2. Turbulent mixing near the pycnocline (Li et al. 2005)

3. Adjustment of observational wind (Xu et al. 2002; Li et al. 2005)

Summary