Download SCCOOS - National Federation of Regional Associations for

Southern California Coastal Ocean
Observing System
SCCOOS
2009 Regional Coordination Workshop
Seattle, WA
August 25, 2009
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Part 1: Project Status Report
Shelf to Shoreline Observatory Development
Development
Project Investigators:
Julie Thomas and Eric Terrill
Project Duration: July 1, 2008 – June 30, 2010
(2 years; currently in year 2)
Project Status Report
Project Schedule and Milestones – RA Planning Grant and RCOOS:
•
•
•
•
•
•
•
•
Continued operation of nearshore egg and larval surveys that complement the
offshore CALCOFI survey
Initiated weekly Harmful Algal Bloom (HAB) shoreline surveillance at five pier sites
along the coast of Southern California
Development of nearshore climatologies and climate relevant indices relevant to
ecosystem assessment for fisheries, IEAs, and MPA development
Operations and maintenance of the 1km resolution, realtime ocean model
nowcast/forecast system (ROMS)
Maintained climate-relevant glider lines
Established interactive displays of data and products via SCCOOS web site
SCCOOS installed six new HF radar sites and at Trinidad, Pillar Point Air Force
Station, Sausalito-Marin City Sanitary District, Point Mugu, San Mateo Point, and
Camp Pendleton.
Trajectory tool set for HF radar based upon optimal mapping techniques
3
Project Status Report
Significant Accomplishments:
•
•
•
•
•
Initiated and maintained Harmful Algal Bloom (HAB) surveillance program with
delivery of timely and relevant data products, including the launch of a new
website: www.sccoos.org/data/habs
Early detection and notification of a toxic HAB event in the San Pedro Channel
using gliders, pier monitoring, and boat sampling
Marine Operations web page for delivery of aggregated waves, winds, ocean
current information in geospacial format. In-person training workshops this Fall.
Maintained limited climate observation network within SCCOOS including a
nearshore CALCOFI stations to complement routine offshore observations, three
offshore glider lines that observe ocean climate including El Niño detection,
operation of the ocean modeling system, and the synthesis of a decades worth of
discharger CTD stations with offshore CALCOFI stations
Continued management of realtime data through www.sccoos.org
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Keys to Success and Potential Challenges
Ecosystem Health & Climate Trends
What worked well?
• CalCOFI surveys collected zooplankton biomass, fish and invertebrate larvae and
conducted underway measurements of temperature, salinity, irradiance and fluorescence.
• Extending the historically offshore stations of CalCOFI closer to the coast brought
relevance to the National Pollutant Discharge Elimination System (NPDES) permit
discharge monitoring sites and to California’s Marine Protected Areas planning process.
• Forecasts and nowcasts of ocean conditions on a range of space and time scales were
made using the Regional Ocean Modeling System (ROMS). The models make estimates
of connectivity on bight-wide scales as a guide to understanding dispersal of materials
near and below the sea surface. ROMS with observed winds were also used to estimate
larval dispersion.
• A multi-year model reanalysis is being conducted to assist in the development of
dynamical indices that have ecosystem relevance.
Describe potential and/or real challenges :
• Data integration and distribution for large and complex datasets such as CalCOFI
• Validating model output, and assessing model. R&D to define products.
• Integrating biological datasets with physical data sets and representing those syntheses
• Continuous funding for sustaining glider lines
• Determining, and development of, sensors to add to the standard suite (T, S, velocity, Chl
a) to address ecosystem issues
5
Keys to Success and Potential Challenges
Water Quality
What worked well?
• The SCCOOS HAB team has been monitoring algal species at fives sites from San Luis
Obispo to San Diego for the past year – using traditional (water samples) and
technological capabilities (AUVs) to provide as complete a picture as possible.
• A website has been established that provides for automatic data submission and up-todate reporting of the HAB conditions at each of the five sites.
• The group provided early detection and alerted the community to the onset of the HAB
event (Pseudo-nitzschia).
• The SCCOOS HAB team is a highly collaborative group, and is engaged with HAB
monitoring efforts for the entire state (collaborations with CeNCOOS investigators).
• During the Hyperion Treatment Plant 1-mile diversion, SCCOOS provided a set of
resources including a web site that consolidated observations for rapid access and
evaluation by managers and regulators during the discharge diversion.
Describe potential and/or real challenges :
• Development of technological capability for in situ and/or remote sensing of HAB species
and events that enables the use of autonomous vehicles, moorings, and remote sensing
for early detection and warning.
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HAB SURVEILLANCE PROGRAM
HAB Product – various delivery methods (web, email)
Keys to Success and Potential Challenges
Marine Safety and Maritime Operations
What worked well?
• A customized interactive website for the Ports of Los Angeles and Long Beach Harbor that
provides timely and accurate information about marine conditions to ensure the safe
passage of vessels and efficient harbor navigation, including automated messages on
wave conditions.
• A partnership with NAVAIR and the U.S. Navy for operational access to the Naval
Research Laboratory’s Coupled Ocean/Atmosphere Mesoscale Prediction System
(COAMPS) to provide 48 hour wind and precipitation forecasts on the SCCOOS website.
• After an oil spill in the Santa Barbara Channel, California's Office of Spill Prevention and
Response (OSPR) contacted SCCOOS to provide surface current data that was integrated
into GIS-based support products and provided to first responders.
• Participation in Area Committee Meetings to present SCCOOS products for use in oil spill
preparation and drills – and continue work to integrate HF radar into the OSPR GIS and
NOAA GNOME model and the usage of real-time waves, winds, currents, AIS, chart
overlays, etc.
• Supported the National Preparedness For Response Exercise Program (NPREP), an
industry-led oil spill response exercise off the coast of San Diego, with surface current
measurements and particle tracking.
Describe potential and/or real challenges :
• Ensuring the information is out to users in the field, training, stakeholder involvement
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Left – OSPR
generated
Surface current
map for the
command post
during the 2008
NPREP exercise
• In response to Cosco Busan, a tailored GIS format of HF radar data is now available to OSPR staff and has
been in use in drills (Safe Seas, NPREP) and in recent responses in the Santa Barbara Channel.
• NOAA HAZMAT now can access surface currents via a national standard NETCDF format (chain of
command for enviro data – USCG to NOAA)
Surface current maps available with SOCAL Platform locations
http://www.sccoos.org/data/hfrnet/
LA/LB Customized Web Interface
NOAA charts integrated with Model Output Prediction Points at key transfer locations
Overlay for Shipping Lanes, Swell Model, and Surface Currents
Web-based display of realtime AIS data with available NOAA Charts
Current Status: Products
Level One
Level Two
Minimal processing
Products
Ecosystem/Climate
Trends
Value-added
Model
RT Decision
RT Data Outputs Satellite Data Support
Maps
Time
Series
X
X
X
X
X
X
Water Quality
X*
X
X
X*
X
X
X
Marine Operations
X*
X*
X*
X*
X
X
X
Coastal Hazards
X*
X*
X*
X*
X*
X*
Directions: Place an “x” in boxes that best describe the kinds of products
being developed for the focus areas. See RA Presentation guidelines for
terms
*near real-time data (>24 hours)
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Current Status: Products
Level One
Level Two
Minimal processing
Products
Ecosystem/Climate
Trends
Water Quality
Marine Operations
Coastal Hazards
Value-added
Model
RT
Decision
RT Data Outputs Satellite Data Support
X
X
X
currents,
COAMPS, WRF OI SST, GOES
gliders,
meteorology
shore
stations,
waves
X*
X
X
NPDES, HABs
TJ River
MODIS
trajectory,
CDIP
alongshore
currents
X
X
X
currents,
wave model,
GOES
meteorology, COAMPS, WRF
waves
X
X
waves
alongshore
currents
X
online
access
Maps
X
Research
X*
online
access
X
TJ River
Trajectory,
online
interactive
X
Google maps
display
X
online
access
X
currents
display, waves
display, LA/LB
X
CDIP
alongshore
currents
display
X
Google maps
display
X
online
access
X
alongshore
currents
Time
Series
X
CalCOFI,
currents,
gliders,
meteorology
shore stations,
waves
X
NPDES, HABs
X
currents,
meteorology,
waves
X
LIDAR
Directions: Place an “x” in boxes that best describe the kinds of products being developed for the focus areas. See RA
Presentation guidelines for terms
*near real-time data (>24 hours)
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Current Status: Product Examples
• Provide access to near real time data for harmful algal blooms to avoid
risks to public health, marine life, the environment, and the economy:
www.sccoos.org/data/habs
• Provide an interactive website for ports and harbors with information on
marine conditions that is critical to the safe passage of vessels and
efficient harbor navigation: www.sccoos.org/data/harbors/lalb
• Provide HF radar derived surface current maps to assess and mitigate
impacts of impaired water quality, track oil spills, assist with search and
rescue efforts and monitor the physical environment to better understand
ecosystem change: http://www.sccoos.org/data/hfrnet/
• Provide intuitive, interactive multi-dimensional display of model output:
http://www.sccoos.org/data/roms/
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Current Status: Observations
Variables/
Platforms
Fixedin water,
multiSensor
Biological
12
10
1,154
0
0
15
0
25
724
4
40
3,074
Geological
0
Physical
Meteorological
Chemical
Fixedin water
single
sensor
Fixed –
on land
Remote
Transects Sensing
2
669
0
27
1
N/A
4,968
N/A
23,184
113
3
N/A
0
904
0
N/A
0
226
N/A
0
0
2
0
Indicate the # of observations in each category.
Color code: X# if funded exclusively by NOAA IOOS funds; X if combination of NOAA IOOS funds and other; X is non-NOAA IOOS funds
Observation = parameter = (temperature, salinity, chlorophyll, etc… X station)/sampling period. These numbers indicate the observations
collected during one sampling period. For example, there are ~23,184 meteorological observations collected per hour = 14 parameters X 1,656
stations. *Not represented – models
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Observation Types
Physical - water temperature, sea level, salt, beam c, waves, backscatter,
transmissivity, normalized water-leaving radiance, total suspended matter,
secchi, absorption
Meteorological - air temperature, wind speed, wind direction, precipitation,
pressure, relative humidity, visibility, infrared, water vapor
Chemical - O2, ph, ammonia, nitrate, phosphate, silicate, nitrite, radioactive
tracer
Biological - chlorophyll, e. coli, enterococus, fecal coliforms, total coliforms,
phytoplankton, phaeophytin, productivity
Geological -
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Excerpt from Observations Table
NOAA IOOS TYPE
Instrument/Platform
1. Fixed Platform A(t) - in water
fixed-in water, multisensor
Automated Shore Stations
fixed-in water,
sensor
fixed-in water,
sensor
fixed-in water,
sensor
fixed-in water,
sensor
Bight Water Quality Stations
(various platforms - parameters
multi- depend on platform location/station
configuration)
CDIP Buoys
(various platforms - parameters
multi- depend on platform location/station
configuration)
County Shoreline Water Quality
Stations
multi- (hand sampled - parameters depend
on sampling configuration)
multiManual Shore Stations
fixed-in water, multi- Scripps Pier Harmful Algal Bloom
sensor
Program
Realtime, Delayed
Mode, Archived,
Historical,
Retrospective?
real-time
delayed mode
fixed on land
temp, salt, sea level
(pressure)
water temperature,
salinity, oxygen,
contaminants (e. coli,
enterococcus, fecal
coliforms, total
coliforms)
delayed mode
waves, sea surface
temperature
contaminants (e. coli,
enterococcus, fecal
coliforms, total
coliforms)
delayed mode
temp, salt
near real-time
delayed mode
fixed-in water, multisensor
City of San Diego Water Quality Casts delayed mode
1. Fixed Platform A(t) - on land
Meteorology Stations
(various platforms - parameters
depend on platform location/station
configuration)
IOOS Core variables
measured
near real-time
NON-IOOS variables
measured
chlorophyll
3
chlorophyll, descent rate,
ph, beam c
3
air temperature
2
Meteorol
geolo
# of
ogical biological gical stations
2
1
4
4
219
1
15
3
2
sea surface
ammonia, chlorophyll,
temperature, salt,
phaeophytin, nitrate,
phytoplankton species phosphate, silicate
water temperature, salt,
optical properties
(transmissivity), O2,
contaminants (e. coli,
enterococcus, fecal
coliforms, total
coliforms)
chlorophyll, ph
air temperature, sea
surface temperature,
waves
physical chemical
accumulated precipitation,
altimeter, barometric
pressure, dew point
temperature, elevation,
precipitation rate, relative
humidity, solar radiation,
visibility, wind direction at
gust, wind direction, wind
gust, wind speed, sea
level pressure
542
19
2
5
2
5
3
2
4
143
3
14
1656
18
Observations Table Continued
NOAA IOOS TYPE
N/A
Transects
Transects
Transects
N/A
Instrument/Platform
2. Moving platform A(x,y,z,t)
AIS
(Automatic Identification System)
Realtime, Delayed
Mode, Archived,
Historical,
Retrospective?
near real-time
Spray Gliders - distributed by provider delayed mode
Spray Gliders - distributed through
SCCOOS
delayed mode
CalCOFI***
3. Other
Bathymetry
IOOS Core
variables measured
temp, salt, optical
properties
temp, salt, optical
properties
NON-IOOS
variables
measured
ship positions
backscatter, water
velocity
backscatter, water
velocity
bathymetry
Remote Sensing
Remote Sensing
5. Remote sensing A(x,y,t)
GOES
(Geostationary Operational
Environmental Satellite)
HF Radar Radial Vectors
near real-time
near real-time
water vapor, visible,
infrared
radial currents
Remote Sensing
HF Radar Total Vector Currents
near real-time
surface currents
Remote Sensing
MODIS
(Moderate Resolution Imaging
Spectroradiometer)
delayed mode
sea surface
temperature
Remote Sensing
Remote Sensing
Models
meteorologi
# of
cal
biological geological stations
4
23
4
3
109
static
4. Images/2D GIS
physical chemical
A(x,y)
OCM (Ocean Colour Monitor)
OI SST
(Optimally Interpolated Sea Surface
Temperature)
6. Models
A(x,y,[z],t)
COAMPS
(Coupled Ocean/Atmosphere
Mesoscale Prediction System)
delayed mode
delayed mode
Models
ROMS
(Regional Ocean Modeling System)
temperature, salt,
sea surface height,
near real-time (3hr lag) ocean currents
Models
Plume Tracking Model
near real-time
1
1
23
chlorophyll,
normalized waterleaving radiance
2
1
1
chlorophyll, total
suspended matter,
true color
2
1
1
sea surface
temperature
near real-time (3hr lag)
3
1
winds, rainfall
1
1
2
1
4
1
simulated partical
trajectories
19
Current Status: Modeling and DMAC subsystems
Modeling*
Region-wide**
Atmospheric
COAMPS, WRF
Circulation
ROMS
Sub-region
Not at all
(ocean currents)
Inundation
X
Wave
CDIP
Hydrological
X
Sediment transport
X
Water Quality/Ecosystem
ROMS
(temp, salinity)
Fisheries
X
DMAC
Complete
In-progress Not at all
RA Website that serves data
X
DIF - working to ensure
interoperability
X
Regional Data Portal
X
* See guidelines for definitions
**Regionwide = entire RA
20
Map 1a: Existing Observing Assets
21
Map 1b: Leveraged Assets
22
Meteorology Stations
Too many dots to represent…
23
Part 2: Looking Forward:
Future Plans
Assuming $5 million of funding per year, please indicate
what your future plans are for your RA. The $5 million
should cover activities currently funded by the RA Planning
Grants and the RCOOS.
24
Future Plans: Major Products
Level One
Products
Ecosystem/Climate
Trends
Model
RT Decision
RT Data Outputs Satellite Data Support
X
Mixed layer
depth, temp,
salinity,
fisheries data
X
ROMS and
larval
transport
X
OI SST, GOES
X
Coliforms
X
Particle/
Pathogen
Tracking Tool
X
MODIS
X
Winds,
waves,
currents,
AIS
X
Wave
nowcast/
forecasts
X
GOES
Water Quality
Marine Operations
Coastal Hazards
Level Two
X
X
Pressure
Inundation
sensors,
predictions,
alongshore Monitoring &
and surfzone
Prediction
currents
system, rip
currents
X
Online
access/
Web
services
X
Fisheries
Management
Maps
Time
Series
X
X
ROMS, Surface CalCOFI, temp,
Currents and
salinity
larval transport
X
X
X
Online
Trajectories,
Google maps
access/ Plume Tracking
displays
Web
services
X
X
X
Online
Customized
Navigational
access/
websites for charts, Surface
Web
CA ports &
Currents for
services channels (San
trajectories
Diego, Santa
(SAR & oil
Barbara, Pt.
spills)
Mugu)
X
X
X
Online
Automated Shoreline Maps
access/
Warning
Web
Messages
services
X
Historical
waves,
Inundation/
Shoreline
change
25
Future Plans: Observations
• Variables/
Platforms
Fixedin water,
multipurpose
Biological
12
10
1,154
0
0
15
0
25
724
4
40
3,074
Geological
0
Physical
Meteorological
Chemical
Fixedin water
single
purpose
Fixed –
on land
Remote
Transects Sensing
2
669
0
27
1
N/A
4,968
N/A
23,184
113
3
N/A
0
904
0
N/A
0
226
2
N/A
0
0
0
Future plans are focused on product development and data management with
an emphasis on integrating physical and biological data.
26
Future Plan: Modeling and DMAC
Modeling*
Region-wide
Sub-region
Atmospheric
COAMPS, WRF
same
Circulation
NCOM, ROMS
same
Inundation
CDIP
Wave
CDIP
Not at all
Hydrologic
Sediment transport
CDIP
Water quality/ecosystem
ROMS
Fisheries
ROMS
DMAC
(larval transport)
Yes
In-progress No
RA Website that serves data
X
DIF - working to ensure
interoperability
X
Regional Data Portal
X
27
* See Guidelines for definitions
** Region-wide means entire RA
Future Plans: Map
28
Funding Scenario
Briefly describe the major CUTS to the subsystem under
the reduced funding scenarios
Funding Scenarios
$3 million
$1 million
Plume Tracking & Trajectory Models
Retrospective bight scale hindcast
ROMS Validation
Surfzone Waves and Currents
Plume Tracking & Trajectory Models
Retrospective bight scale hindcast
Climate Reanalysis
HF radar stations
Gliders
Underway CTD
Automated & Manual Shore Stations
Offshore Wave Observations
Nearshore Moorings
Ocean data synthesis
SOS development
Metadata
Rapid Response & Project Products
Website development
Training workshops
Kiosks & Informational Displays
School Programs
Online Educational Programs
Modeling
Manual Shore Stations
Offshore Wave Observations
Nearshore Moorings
Observing
DMAC and Product
Development
RA Management and
Outreach
SOS development
Metadata
Kiosks & Informational Displays
School Programs
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