Cooperative Institute for Oceanographic Satellite Studies - CIOSSCollege of Oceanic and Atmospheric Sciences - COAS

Oregon State University - OSU

CIOSS atCOAS/OSU*

Alaska Stream

Alaska Current

California Current

50ºN

62ºN

Collaboration between OSU/COAS and NESDIS/STAR (ORA)/SO (ORAD)

SST – Feb 1998

Can GOES see theGulf of Alaska?

SST – Aug 2000 *

Overarching Goal: Develop, improve, evaluate:• Methods of ocean remote sensing; and • Ocean-atmosphere modeling,Building on the strengths of COAS/OSU and NESDIS/STAR/SO

CIOSS Director: Ted Strub (tstrub@coas.oregonstate.edu)

Deputy Dir: Michael FreilichAA: Janine Kobel (Janine.Kobel@coas.oregonstate.edu)

Formal starting date: April 1, 20035 years initiallyProgram Officers: Eric Bayler &

Fran Holt31 Fellows and Fellas at OSU and SO (+UO, …)

Satellite Sensors and Techniques: Development of … techniques and applications; evaluation of existing and proposed satellite sensors, algorithms… [Ricardo Letelier is on SWT for CWI]

Ocean-Atmosphere Fields and Fluxes: Improved fields of physical parameters in the surface ocean (e.g., temperature, height, velocity, winds,…), biological parameters (surface concentrations of pigments, optical properties, etc.), and surface fluxes (e.g., momentum, heat, fresh water), using remote sensing techniques.

Ocean-Atmosphere Models and Data-Assimilation: Use of the satellite-derived fields to force and evaluate numerical models of the upper-ocean and lower atmospheric, including the use of data-assimilation.

Ocean-Atmosphere Analyses: Dynamical analyses of data sets derived from satellites, models and/or in situ observations, in order to increase our basic understanding of the physical and biological processes in the ocean- atmosphere system, on a wide range of scales. Outreach, Education and Training in three areas:

o Formal and Informal Education for students (K-12, undergraduate and graduate students), researchers, resource managers and the general public, concerning oceanography and the use of remotely-sensed data sets and numerical models, in order to learn more about the ocean.o Data Access

CIOSS Activities

The simple way to think of what CIOSS should do is to make the analogy to CIMSS and CIRA:

• Develop and improve surface fields, derived from combinations of satellite and in situ data –

• Improved in horizontal resolution, proximity to the coast (for microwave), accuracy

• Develop and improve methods of data assimilation to include the improved fields in models of the ocean circulation and coupled models of the ocean and atmosphere. “Coastal” regions are of special interest.

• But we have no ocean forecast system like the NWS!

Integrated Ocean Observing SystemNational (Backbone) and Regional

Systems in “Coastal” Areas

National System• Satellite remote sensing• Reference, Sentinel Stations• Link to global module• Data standards & exchange protocols

Regional Systems• Land-based inputs• State & Regional Priorities• Greater resolution• More variables

CIOSS – Example Fields

SST (color) and ALT SSH (contours)SeaWiFS Pigment (color) &SCAT Winds (vectors)

Wind Stress

ALT SSH

SST (IR & μW)

Ocean Optics

Roughness (SAR)

Air-Sea Fluxes

• IR Radiation

• Solar Radiation

• Sensible Heat

• Latent Heat

Newport Long-Term Mooring:

80m on the Newport Line (NH10)z

Near historical CUE mooring sites.

- u(z,t), v(z,t) since 1997- T(z,t) (10 depths) since 2000- S(z,t) (3 or 4 depths) since 2000- Fl at 20m since 2000

Shelf Moorings

Long-Term Moorings at Coos Bay and Rogue River

COAST moorings (u,v,T,S,Fl)COAST met buoy

PISCO buoys (u,v,T,S,Fl)PISCO shore stations (not shown)

assimilated ADP data

DAno DA

45 km from assim. data site

90 km from assim. data site

RMS error reduced

correl. increased

Assimilation of ADP velocity profiles helps to improve model velocities at an alongshore distance of 90 km from the assimilation site

Shown: Improvement in model-data RMS error and complex correlation amplitude at remote ADP sites as a result of assimilation of moored ADP velocities in the north [from Kurapov et al., JGR, 2004, submitted]

blue vectors: time- and depth-ave current

SMILE

&cience

ath

nvestigative

earning

xperiences

SMILE Communities

Cave Junction

- The development of hands-on curriculum to introduce SMILE students to oceanography and marine remote sensing

- An increase in the content knowledge of SMILE teachers about oceanographic research and remote sensing

- The development and implementation of SMILE High School Challenges built around a reality-based oceanographic problem

- An increased awareness by SMILE students of marine topics and career opportunities involving satellite remote sensing of the ocean

The CIOSS/SMILE collaboration will result in: