component (basin, regional, local) one-way nested model.

Current work on this topic has focused on comparing physical model

output with in situ data from CalCOFI Lines 67 (MBARI) and 80 (Scripps).

The comparison shows that the model is "colder" than the observations.

Several suggestions were brought forth to deal with this (and other)

model-data disparities. First, because the model is being run at 5 km

for the entire west coast it takes ~70 hours to generate a year of model

output. Including the ecosystem might increase that by a factor of 3

(Jim, Yi please comment). Considering that many model runs will be

required to "tune" the model the group felt that it would be necessary

to create a smaller model domain (Point Conception to Mendocino, 400 km

from shore) that could be run more often than the full model domain.

This will require time from personnel in the McWilliams/UCLA shop (Jim,

Yi please comment). On a parallel track we should also investigate

additional computing resources. Second, we should compare model output

(driven by COADS climatological forcing) with COADS SST. Comparison of

CalCOFI lines 67 and 80 with the World Ocean Atlas (see Chai web page)

shows that WOA SST is significantly warmer offshore. The WOA is coarse

and "misses" the coastal upwelling signal and exhibits weak gradients in

chlorophyll, nitrate, SST inshore relative to the higher resolution

CalCOFI data. Third, we asked that John Kindle and Jeff Paduan summarize

the ICON modeling efforts, primarily in terms of sensitivity to

atmospheric forcing, so that we do not "reinvent the wheel".

back to 1990 will be the responsibility of John Kindle and Yi Chao.

Uncertainties exist about buoyancy fluxes and relative humidity field

data will be investigated. MBARI will explore the best

insolation/irradiance product for driving heating and primary production

in the model. Access to model (i.e. COAMPS) data will be required. Also

investigating NASA PAR products. Comparisons between products and

observations (moorings) will be made.

The SCOPE model is currently being forced by COADS climatology. An

obvious next step is to go to more recent and higher resolution forcing

fields. Kindle to advise (see above). Relative humidity data is

problematic and still being investigated (Ryan to follow up on).

Comparison between NCEP, COAMPS, SeaWiFS and in situ (M1, M2) insolation

fields has been done (see MBARI web site). The models and satellite

predict higher insolation, at all seasons except winter. Correlations

are high with SeaWiFS providing the highest (r=0.97).

10-component ecosystem model into ROAMS. The first exercise will be to

incorporate the 10 component model into the regional domain to compare

with UCLA simulations using a simpler ecosystem. MBARI will provide an

alkalinity salinity relationship for the region for CO2 calculations.

The ecosystem model is ready to be incorporated into ROAMS but will wait

to until a final decision has been made on model domains. (Questions

from Francisco for Yi and Fei, has the code been developed and we are

now just waiting for "computer time"; is there any difference between

implementing the ecosystem in the large versus smaller domain; should we

make one run with the ecosystem in the large domain). MBARI has provided

the salinity-alkalinity relationship (see web page). New postdoc on line

a U of Maine has implemented oxygen so now we have an 11 component

model.

take the output from the ecosystem model and estimate net and scalar

spectral irradiance, and inherent optical properties in the water

column. Net spectral irradiance will be used to compute solar heating of

the water column, and spectral scalar irradiance will be used to compute

primary productivity rates.

Maffione has promised an update on this anyday now (Robert, big brother

is watching). A postdoc has been hired by MBARI (Brad Penta) and he will

start Jan 15. His first duties will be to work on the bio-optical model

and on adding iron to the ecosystem model.

(TOPEX, SST, mooring T, S , u, v) and biological (ocean color, mooring

chlorophyll, backscatter, Ed, Lu) properties. Please give estimates as

to when we will be using data assimilation. Candidate to perform work

identified and will hopefully begin shortly. No tangible results

expected in the first year.

Post-doc identified and hiring process on track.

assemble consistent fields for MB and CalCOFI.

Validation fields have been assembled (see MBARI web page). Next step is

to assemble the bio-optical (Maffione) and ecological (species) data for

phytoplankton (Chavez) and zooplankton (Marinovic).