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Coastal Ocean Observations and
Models for West Florida:
Downscaling from the deep ocean
across the shelf and into the estuaries.
Robert H. Weisberg
Distinguished University ProfessorDistinguished University Professor
College of Marine Science
University of South Florida
St. Petersburg, FL 33701
FIO-USGS-FWRI Workshop
4/3/14
DISCLAIMER:
The nowcast/forecast system and other data analyses are experimental products. No warranty is made,
expressed or implied, regarding accuracy or suitability for any application. All rights reserved Univ. of So.
Florida, College of Mar. Sci. – Ocean Circ. Group. Copyright Univ. of So. Florida, 2014.
The Observing System:
Fixed moorings and HF-radar,
presently with SECOORA support.
These observations are supplemented
by satellite altimetry and surface
geostrophic current analyses, plus
trajectories associated with these.
COMPS Real Time Observations
http://COMPS.marine.usf.edu
CMS-USF maintains offshore buoys
and coastal stations measuring ocean
and atmosphere variables.
COMPS HF-Radar
Long range CODAR
Shorter range WERA, including waves
Build-out Vision for COMPS Moorings, HF-Radar, Gliders
The Coordinated Modeling System:
1. West Florida Coastal Ocean Model
(WFCOM) consisting of FVCOM nested
in GOM HYCOM (presently with GoMRI,
Deep-C support).
2. GOM waves using SWAN
Coastal Ocean Circulation Model Approach:
WFCOM nests FVCOM into GOM HYCOM to
downscale from the deep ocean, across the
continental shelf and into the estuaries.
WFCOM is fully 3-D and density dependent.
Included are 8 tide constituents to account for Included are 8 tide constituents to account for
flows in estuaries and through inlets.
We serve daily automated N/Fs at
http://ocgweb.marine.usf.edu,
and we have hindcasts from 2004-present.
N/F circulation model:
Sub-domain examples
showing tomorrow’s
forecast made
yesterday
N/F Model
Charlotte Harbor
estuary
subdomain:
Tomorrow’s
forecast made
yesterdayyesterday
Daily, Automated Particle Trajectory
Forecasts: Surface, BottomLeft: 3.5 day forecast for 4/1/14, Right: 3.5 day forecast for
6/24/12 (TS Debbie)
Comparison between an actual CODE drifter and 5 model simulations. WFCOM is
the closest, and it also include tides and inertial oscillations
WFCOM daily-
mean surface V on
S and bottom V on
T for 6/28/10, when
DWH surface oil
was near Cape San
Blas.
Note the strong
upwelling
circulation caused
by LC interaction
with the shelf
slope near the Dry
Tortugas.
Daily, Automated Waves (SWAN) N/F Model
Additional nesting into WFCOM can better resolve estuaries
and inlets.
Example 1: The Tampa Bay complex
(Zhu, Weisberg and Zheng, 2014a,b).
Example 2: Rookery Bay, Naples Bay, and the adjacent Gulf of Mexico(Zheng and Weisberg, 2008)
We are not late arrivals. We responded throughout the DWH
event, as evident in the NOAA forecasts. Our DWH response
consisted of ppt briefings and explanations beginning on
4/26 and continuing through the end.
Summary• The USF-CMS Ocean Circulation Group coordinates observations and models to
describe, understand and forecast the coastal ocean circulation and related
phenomena. The coastal ocean, where society meets the sea, is our niche.
• To fill a DWH event gap, we developed a model that downscales from the deep-
ocean, across the continental shelf and into the estuaries by nesting FVCOM into
HYCOM (first Global, now GOM).
• Real time observations and daily, automated circulation (and wave) N/Fs are
publically available at http://ocgweb.marine.usf.edu.
• All of our modeling works are veracity tested against observations and • All of our modeling works are veracity tested against observations and
subjected to peer review in refereed publications.
• Our WFCOM presently extends west of the MR. Plans exist for a full GOMCOM.
Given HYCOM nesting, WFCOM is portable elsewhere; for instance, it is straight
forward to include Florida’s east coast.
• Recent applications are to red tide, gag grouper larvae, and DWH hydrocarbons
reaching the WFS.
• We have a scientific vision for an expanded WFS observing system and the
capability to implement and sustain it.
• We remain interested in applications such as SAR, harmful substance tracking,
red tide, fisheries and marine recreation and marine commerce.
Recent Selected Publications1.Weisberg, R.H., A. Barth, A. Alvera-Azcárate, and L. Zheng (2009). A coordinated coastal ocean observing and modeling system
for the West Florida Shelf, Harmful Algae., 8, 585-598.
2.Zheng, L. and R.H. Weisberg (2009). Rookery Bay and Naples Bay circulation simulations: applications to tides and fresh water
inflow regulation, Ecological Modelling, 221, 986-996, doi:10.1016/j.ecolmodel.2009.01.024.
3.Liu, Y., R.H. Weisberg, C. Hu, and L. Zheng (2011), Tracking the Deepwater Horizon oil spill: A modeling perspective, EOS
Transactions, American Geophysical Union, 92(6), 45-46, doi: 10.1029/2010ES003187.
4.Weisberg, R.H. (2011) Coastal Ocean Pollution, Water Quality and Ecology: A Commentary, MTS Journal, Vol. 45, No. 2, 35-42.
5.Weisberg, R.H., L. Zheng, and Y. Liu, (2011), Tracking subsurface oil in the aftermath of the Deepwater Horizon well blowout, in
Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise, Geophysical Monograph Series, 195, 205-
215, doi:10.1029/2011GM001131.
6.Liu, Y., R.H. Weisberg, C. Hu, and L. Zheng (2011), Trajectory forecast as a rapid response to the Deepwater Horizon oil spill, in
Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise, Geophysical Monograph Series, 195, 153-
165, doi:10.1029/2011GM001121.
7.Liu, Y., R.H. Weisberg, C. Hu, C. Kovach, and R. Riethmüller (2011), Evolution of the Loop Current system during the Deepwater
Horizon oil spill event as observed with drifters and satellites, in Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Horizon oil spill event as observed with drifters and satellites, in Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-
Breaking Enterprise, Geophysical Monograph Series, 195, 91-101, doi:10.1029/2011GM001127.
8.Zheng, L. and R.H. Weisberg (2012), Modeling the West Florida Coastal Ocean by Downscaling from the Deep Ocean, Across the
Continental Shelf and into the Estuaries, Ocean Modeling, 48 (2012), 10-29, doi:10.1016/j.ocemod.2012.02.002.
9.Huang, Y., R. H. Weisberg, and L. Zheng (2013), Gulf of Mexico hurricane wave simulations using SWAN: Bulk formula based drag
coefficient sensitivity for Hurricane Ike. J. Geophys. Res.-Oceans, 118, 1–23, doi:10.1002/jgrc.20283.
10.Weisberg, R.H, L. Zheng, Y. Liu, S. Murawski, C. Hu, and J. Paul (2014), Did Deepwater Horizon Hydrocarbons Transit to the
West Florida Continental Shelf? Deep-Sea Res., Part II, doi:10.1016/j.dsr2.2014.02.002.
11.Weisberg, R.H., L. Zheng, Y. Liu, C. Lembke, J.M. Lenes and J.J. Walsh (2014), Why a red tide was not observed on the West
Florida Continental Shelf in 2010. Harmful Algae, in press.
12.Weisberg, R.H., L. Zheng and E. Peebles (2014), Gag grouper larvae pathways on the West Florida Shelf, Cont. Shelf Res.,
revised.
13.Zhu, J., R.H. Weisberg, R.H., L. Zheng, and S. Han (2014). On the flushing of Tampa Bay. Estuaries and Coasts, in press.
14.Zhu, J., R.H. Weisberg, R.H., L. Zheng, and S. Han (2014). Influences of channel deepening and widening on the tidal and non-
tidal circulation of Tampa Bay. Estuaries and Coasts, in press.