GNATS

Experiment:GNATS
PIs*: Balch, William
Start Time:2001-06-26 14:36:00
End Time:2020-09-02 02:19:45
North:44.519
South:0.000
East:0.000
West:-70.658
Data Types: drifter, cast, matchup, pigment, flow_thru
Parameters: ag ag_sd agp agp_sd bb bb_sd bsi c c_sd cdom cgp cgp_sd chl chl_a chl_sd chl_stimf ed es es_sd kd lsky lsky_sd lt lt_sd lu lw no2_no3 npp npp_sd oxygen pic po4 poc pon relaz sal senz sio4 stimf wt
*Listed alphabetically

DOI

10.5067/SeaBASS/GNATS/DATA001

Description

The Gulf of Maine (GoM) is a highly productive shelf sea that constitutes a large part of the N.E. US Continental Shelf. We have run a time series across the GoM for the last 8 years known as GNATS (Gulf of Maine North Atlantic Time Series). It consists of monthly, cross-Gulf sampling on ships of opportunity, during clear-sky days, so that we are assured concurrent measurements from ship and satellite (ocean color, SST). The power of this strategy is seen in our 95% success rate for being at sea during clear, high quality overpasses (randomly, one would expect a success rate of ~10% due to the GoM cloud climatology). We then can extrapolate our large shipboard data set of carbon cycle parameters to regional scales using synoptic remote sensing. GNATS includes a suite of carbon-specific standing stocks and rate measurements (e.g. POC, PIC [calcite], DOC, primary productivity, and calcification) plus hydrographic, chemical and optical measurements. Through coordinated ship/satellite measurements, we can constrain the major carbon production terms of the Gulf, follow their monthly variation using synoptic remote sensing, and regionally tune satellite algorithms. GNATS documents not only marine carbon pools, but it includes carbon supplied from the terrestrial watershed; this is why the Gulf is optically-dominated by Case II waters. We propose to A) continue GNATS, coordinated ship and satellite measurements for another 3 years, B) provide monthly, regional estimates of the standing stock and production terms for the various particulate and dissolved carbon fractions based on satellite ocean color observations and C) perform a statistical comparison of photoadaptive parameters in the Mid-Atlantic Bight and GoM to examine how broadly we can extrapolate these results along the NE U.S. Continental Shelf. Deliverables of this work will be: ship-based quantification of the various components of the carbon cycle in the GoM (standing stocks of POC, PIC, DOC plus primary production/calcification rates), an improved DOC algorithm, tuning of satellite carbon algorithms for the NE Continental Shelf, and documentation of the long- term biogeochemical and ecological changes occurring in the GoM carbon cycle. Quantification of the variability in the composition and concentration of dissolved and particulate carbon over a wide range of temporal and spatial scales is the first step towards understanding the role of coastal ecosystems in the global carbon cycle.

URL

http://cce.nasa.gov/cgi-bin/cce/cce_profile.pl?project_group_id=47

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