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How Can We Sea theOcean? Building New
Windows for Discovery
and Education
Mike Crowley
PM IOOS & OOIRutgers University
Coastal Ocean Observation Lab
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
2/20
[email protected]
You can observe a lot just by watching
Yogi Berra
Not in the ocean. In the Ocean, we need help
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
3/20
[email protected]
Looking at the ocean surface
all the time is like going to the
circus and staring at theoutside of the tent.
- Dave Barry
=
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
4/20
[email protected]
BUT, WE KNOW THIS!!!
We want to know:
Am I the first person in the world to see this? Am I making a
new discovery?
What about everyone else?
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
5/20
[email protected]
Ocean Observatories
Initiative is the NSFscontribution to IOOS
IOOS:Serve the public need
Convert science to products
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
6/20
[email protected]
Moorings Profilers
HD Video
Met Data
Glider AUVs REMUS AUVs
Acoustics
And more
OOI:Deployments have begun
25 years
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
7/20
[email protected]
Anyone with a computer
For decadesEyes:Marine Instrumentation
Discovery:Cyberinfrastructure
IOOS data too
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
8/20
[email protected]
Available to scientists globally
Oceanographers can add to it Young Scientists with no seed $
Whats our past record spreading knowledge?
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
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[email protected]
Believe humans contribute to climate change
Have heard of climate change
Gallup
(%)
We have done a bad job. An Example
99
50
15
(%)
99
50
15
Do Scientists need to improve communication skills?
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
10/20
[email protected]
Historical,Synoptic,Future in
Situ/RemoteField/Error
Observationsd0R0
FieldInitialization
CentralForecast
SampleProbability
Density
Mean
SelectBest
Forecast
Shooting
ESSE Smoothing viaStatistical Approximation
MinimumError
Variance
Within ErrorSubspace
(Sequentialprocessing ofObservations)
MeasurementModel
A PosterioriResidules
dr(+)
Performance/AnalysisModules
OA viaESSE
GriddedResidules
SynopticObs
MeasurementModel
MeasurementError
Covariance
^
cf(-)^
0
Options/Assumptions
Most
ProbableForecast
mp(-)^
EnsembleMean
q{ j ^
AdaptiveError
Subspace
Learning
ConvergenceCriterion
Continue/StopIterationBreeding
PeripheralsAnalysisModules
Normalization
SVDp
ContinuousTime ModelErrors Q(t)
ScalableParallel
EnsembleForecast
+PerturbationsError SubspaceInitialization
1
j
q
1
j
q
^
^
^
uj(o,Ip)with physicalconstraints
+
(+)^
E(+)(+)
E0
(+)^
Ea(+)a(+)Field
OperationAssumption
Key
(-)^
E(-)(-)
-+
+
+
-
+
-
---
-
+
+
+
d C (-)Data
Residuals^
+
+
+
--
+/-+
j=1
j=q
+
=
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
11/20
[email protected]
Historical,Synoptic,Future in
Situ/RemoteField/Error
Observationsd0R0
FieldInitialization
CentralForecast
SampleProbability
Density
Mean
SelectBest
Forecast
Shooting
ESSE Smoothing viaStatistical Approximation
MinimumError
Variance
Within ErrorSubspace
(Sequentialprocessing ofObservations)
MeasurementModel
A PosterioriResidules
dr(+)
Performance/AnalysisModules
OA viaESSE
GriddedResidules
SynopticObs
MeasurementModel
MeasurementError
Covariance
^
cf(-)^
0
Options/Assumptions
Most
ProbableForecast
mp(-)^
EnsembleMean
q{ j ^
AdaptiveError
Subspace
Learning
ConvergenceCriterion
Continue/StopIterationBreeding
PeripheralsAnalysisModules
Normalization
SVDp
ContinuousTime ModelErrors Q(t)
ScalableParallel
EnsembleForecast
+PerturbationsError SubspaceInitialization
1
j
q
1
j
q
^
^
^
uj(o,Ip)with physicalconstraints
+
(+)^
E(+)(+)
E0
(+)^
Ea(+)a(+)Field
OperationAssumption
Key
(-)^
E(-)(-)
-+
+
+
-
+
-
---
-
+
+
+
d C (-)Data
Residuals^
+
+
+
--
+/-+
j=1
j=q
+
Tomorrow it will rain
What do people want to know?
As long as they know the basics.
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
12/20
[email protected]
Dont be Such a Scientist:
- Randy Olson
1. Don't Be So Cerebral
2. Don't Be So Literal Minded
3. Don't Be Such a Poor Storyteller4. Don't Be So Unlikeable
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
13/20
[email protected]
Education & Public Engagement:
Simple Visualizations of data NO Matlab! Educators Concept
Maps
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
14/20
[email protected]
Sharing of data/ideas Lab/lesson builder for profs All
integrated into one place
Education & Public Engagement:Making Tools for You
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
15/20
[email protected]
Lets Change the face of Oceanography
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
16/20
[email protected]
Spreading Science and Oceanography tothe Full Spectrum of
College Students
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
17/20
[email protected]
Training Students & Professors & the Public
We cant build all the content
I i k ill i hi hild
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
18/20
[email protected]
Its going to take a village to raise this child
Educate the youth of today to make better decisions tomorrow
L ft G l A Di S i S N ti
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
19/20
[email protected]
Lofty Goal: A Diverse Science Savvy Nation
You know this, but knowing isnt doing
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7/31/2019 How Can We Sea the Ocean? Building New Windows for
Discovery and Education
20/20
[email protected]
Its up to us to
teach the currentand future
generations
IOOS/OOI: Open science
Share your passion with us
Dont be such a scientist!
