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Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Netcdf file created from GEOMAR processed glider data. Based on data from file ifm03_depl08_final_gridded.mat . Glider deployment ID : ifm03 deployment number 8 in January 2013 off Peru Parameter: Temperature, Salinity, Oxygen, Turbidity, Fluorescence, CDOM Coverage: EVENT LABEL: * LATITUDE: -12.312500 * LONGITUDE: -77.446167 * DATE/TIME: 2013-01-25T18:57:00 * ELEVATION: -202.9 m * CAMPAIGN: M92 * BASIS: Meteor (1986) * METHOD|DEVICE: Glider
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Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE START: 35.346000 * LONGITUDE START: 25.141700 * LATITUDE END: 41.012000 * LONGITUDE END: 28.996000 * DATE/TIME START: 2007-01-17T00:00:00 * DATE/TIME END: 2007-02-04T00:00:00 * LOCATION: Eastern Mediterranean Sea * CAMPAIGN: M71/3 * BASIS: Meteor (1986) * METHOD|DEVICE: Underway cruise track measurements
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Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE START: 38.191840 * LONGITUDE START: 15.558020 * LATITUDE END: 34.647300 * LONGITUDE END: 33.040300 * DATE/TIME START: 2009-10-08T00:00:00 * DATE/TIME END: 2009-10-22T00:00:00 * CAMPAIGN: MSM13/2 * BASIS: Maria S. Merian * METHOD|DEVICE: Underway cruise track measurements
Data Types:
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  • Dataset
Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE START: 35.834300 * LONGITUDE START: 14.549100 * LATITUDE END: 35.894900 * LONGITUDE END: 14.516700 * DATE/TIME START: 2010-07-07T00:00:00 * DATE/TIME END: 2010-07-17T00:00:00 * CAMPAIGN: MSM15/4 * BASIS: Maria S. Merian * METHOD|DEVICE: Underway cruise track measurements
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Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE START: 39.543440 * LONGITUDE START: 2.607357 * LATITUDE END: 38.194509 * LONGITUDE END: 15.562683 * DATE/TIME START: 2011-05-31T00:00:00 * DATE/TIME END: 2011-06-13T00:00:00 * LOCATION: Mediterranean Sea * CAMPAIGN: POS414 * BASIS: Poseidon * METHOD|DEVICE: Underway cruise track measurements
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Abstract: Mineral dust aerosols play a major role in present and past climates. To date, we rely on climate models for estimates of dust fluxes to calculate the impact of airborne micronutrients on biogeochemical cycles. Here we provide a new global dust flux data set for Holocene and Last Glacial Maximum (LGM) conditions based on observational data. A comparison with dust flux simulations highlights regional differences between observations and models. By forcing a biogeochemical model with our new data set and using this model's results to guide a millennial-scale Earth System Model simulation, we calculate the impact of enhanced glacial oceanic iron deposition on the LGM-Holocene carbon cycle. On centennial timescales, the higher LGM dust deposition results in a weak reduction of <10 ppm in atmospheric CO2 due to enhanced efficiency of the biological pump. This is followed by a further ~10 ppm reduction over millennial timescales due to greater carbon burial and carbonate compensation. Category: geoscientificInformation Source: Supplement to: Lambert, Fabrice; Tagliabue, Alessandro; Shaffer, Gary; Lamy, Frank; Winckler, Gisela; Farias, Laura; Gallardo, Laura; De Pol-Holz, Ricardo (2015): Dust fluxes and iron fertilization in Holocene and Last Glacial Maximum climates. Geophysical Research Letters, 42(14), 6014-6023, https://doi.org/10.1002/2015GL064250 Supplemental Information: The interpolated dust flux data is in a NetCDF file that can be read using most data display and analysis programs (even Excel). Instructions can be found at these locations: http://www.esrl.noaa.gov/psd/data/gridded/read-our-files.html https://en.wikipedia.org/wiki/NetCDF http://www.unidata.ucar.edu/software/netcdf/docs/netcdf-tutorial.html The data is in a (128 x 64 x 12 x 2) matrix with dimensions (Longitude x Latitude x Time x Period). Longitude and latitude values can be read from the respective variables. Time goes from 1 to 12 and represents the months January to December. Period has the two values 0 and 1 representing the Holocene and LGM data, respectively. Coverage: Not Available
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Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: (KPO_1061) * LATITUDE: 8.016660 * LONGITUDE: -22.966660 * DATE/TIME START: 2011-05-14T20:00:00 * DATE/TIME END: 2012-10-28T12:00:00 * CAMPAIGN: MSM22 * BASIS: Maria S. Merian * METHOD|DEVICE: Mooring (long time)
Data Types:
  • Software/Code
  • Dataset
Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: (KPO_1062) * LATITUDE: 5.000000 * LONGITUDE: -23.000000 * DATE/TIME START: 2011-05-15T22:00:00 * DATE/TIME END: 2012-10-30T06:00:00 * CAMPAIGN: MSM22 * BASIS: Maria S. Merian * METHOD|DEVICE: Mooring (long time)
Data Types:
  • Software/Code
  • Dataset
Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
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Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: This data set contains the EOF decomposition of the reconstructed monthly sea level anomaly (SLA) fields from 1901-09 to 2008-05. The decomposition consists of the global mean sea level anomaly (GMSLA), 12 Empirical Orthogonal Functions (EOF's) estimated from filtered altimetry data (source: CSIRO sea level web page, http://www.cmar.csiro.au/sealevel/sl_data_cmar.html) and the corresponding monthly Principal Components (PC's). The stored GMSLA and PC's are reconstructed using data from 178 tide gauges (see Wenzel and Schröter,2014, for details) considering nine different sets of constraints. The method of reconstruction as well as the constraints are described in Wenzel and Schröter (2014). NOTE: there is no annual cycle in the reconstructed timeseries! The GMSLA is stored as part of the PC and EOF arrays with pcnum=0. The monthly sea level anomaly (SLA) fields can finally be composed from the PC's and the EOF's by matrix multiplication: SLA(time,lat,lon) = PC(time,pcnum). EOF(pcnum,lat,lon) as outlined in Wenzel and Schröter (2014). Coverage: Not Available
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  • Dataset
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