17 research outputs found

    Estimating mixed layer nitrate in the North Atlantic Ocean

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    Here we present an equation for the estimation of nitrate in surface waters of the North Atlantic Ocean (40° N to 52° N, 10° W to 60° W). The equation was derived by multiple linear regression (MLR) from nitrate, sea surface temperature (SST) observational data and model mixed layer depth (MLD) data. The observational data were taken from merchant vessels that have crossed the North Atlantic on a regular basis in 2002/2003 and from 2005 to the present. It is important to find a robust and realistic estimate of MLD because the deepening of the mixed layer is crucial for nitrate supply to the surface. We compared model data from two models (FOAM and Mercator) with MLD derived from float data (using various criteria). The Mercator model gives a MLD estimate that is close to the MLD derived from floats. MLR was established using SST, MLD from Mercator, time and latitude as predictors. Additionally a neural network was trained with the same dataset and the results were validated against both model data as a "ground truth" and an independent observational dataset. This validation produced RMS errors of the same order for MLR and the neural network approach. We conclude that it is possible to estimate nitrate concentrations with an uncertainty of ±1.4 ?mol L?1 in the North Atlantic.<br/

    The seasonal pCO2 cycle at 49°N/16.5°W in the northeastern Atlantic Ocean and what it tells us about biological productivity

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    A 2-year record of mixed layer measurements of CO2 partial pressure (pCO2), nitrate, and other physical, chemical, and biological parameters at a time series site in the northeast Atlantic Ocean (49°N/16.5°W) is presented. The data show average undersaturation of surface waters with respect to atmospheric CO2 levels by about 40 ± 15 ?atm, which gives rise to a perennial CO2 sink of 3.2 ± 1.3 mol m?2 a?1. The seasonal pCO2 cycle is characterized by a summer minimum (winter maximum), which is due to the dominance of biological forcing over physical forcing. Our data document a rapid transition from deep mixing to shallow summer stratification. At the onset of shallow stratification, up to one third of the mixed layer net community production during the productive season had already been accomplished. The combination of high prestratification productivity and rapid onset of stratification appears to have caused the observed particle flux peak early in the season. Mixed layer deepening during fall and winter reventilated CO2 from subsurface respiration of newly exported organic matter, thereby negating more than one third of the carbon drawdown by net community production in the mixed layer. Chemical signatures of both net community production and respiration are indicative of carbon overconsumption, the effects of which may be restricted, though, to the upper ocean. A comparison of the estimated net community production with satellite-based estimates of net primary production shows fundamental discrepancies in the timing of ocean productivity

    MATLAB Program Developed for CO2 System Calculations. ORNL/CDIAC-105b.

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    This is a MATLAB-version of the original CO2SYS for DOS. CO2SYS calculates and returns a detailed state of the carbonate system of oceanographic water samples, if supplied with enough input. Use this function as you would use any other Matlab inline funtion, i.e., a=func(b,c). For extended details on using the function, please refer to the enclosed help by typing "help CO2SYS" in Matlab. For details on the internal workings of the function, please refer to the original publication of Lewis and Wallace at http://cdiac.ornl.gov/oceans/co2rprt.html. Note that this function allows for the input of vectors. This means that you can calculate many samples at once. Each of these samples can be processed with individual salinities, temperatures, pH scales, dissociation constants, etc
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