Table of Contents

• Coverage
• Dataset Description
  • Methods & Sampling
  • Data Processing Description
• Data Files
• Parameters
• Instruments
• Deployments
• Project Information
• Program Information
• Funding

Atmospheric aerosol samples collected during selected legs of the Repeat Hydrography CO2 cruises.
Samples recovered during these cruises have been analyzed for Fe and Al.
In addition, aerosol samples have been subjected to an ultrapure water leach to assess the fractional solubility of Fe and Al.

The U.S. CLIVAR DAC at CCHDO manages the data from the Repeat Hydrography sections.  Most of the data sets from these cruises, referenced using the EXPOCODE as opposed to cruise ID, are available from the CCHDO:

EXPOCODE
33RO200306_01  Data catalog at CCHDO

318M200406  Data catalog at CCHDO

325020060213  Data catalog at CCHDO   

33RR200501  Data catalog at CCHDO

For methods see:
C.Buck et al., 2006, GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS, doi:10.1029/2005GC000977
C.Buck et al., 2010, Mar. Chem., doi:10.1016/j.marchem.2008.08.003


Data Set Information/General:					 Parameter               Explanation
Name                    Name of data originator
Address                 Institute, address and e-mail of data originator
Ship                    Name of vessel sampling was carried out on
Cruise_ID               Cruise Identifier e.g. AMT15
Cruise_Track            Course followed by vessel during sampling
Data_Centre             Name and/or web address of Data Centre holding other relevant (e.g. oceanographic) cruise data
Data_Publication        Citation(s) for journal article(s) relevant to dataset.
                        Please include publications with method information in 'Method_Publication'
Sampler_Locate          Location of sampler e.g. atmospheric sampling mast, wheelhouse roof, foredeck, etc.
Sampler_Type            Aerosol sampler type
Sampler_Flow            Flow rate of sampler (give units)
Substrate_Type          Type of filter/substrate used to collect aerosol
Substrate_Pretreat      Pretreatment of filters/substrates (if any)
Size_Seg_Method         Method used for aerosol size segregation (if any)
Method_Publication      Citation(s) for journal article(s) giving analytical method information, or description of method
DL_Value                Description of how values below analytical detection limit are recorded in the dataset,
                        e.g. Value of 70% of detection limit might be used

Sample Specific Information: Parameter               Explanation
Sample_#                Sample Number
Start_Day               Sampling start day
Start_Month             Sampling start month
Start_Year              Sampling start year
Start_Time              Sampling start time
Start_Lat               Sampling start Latitude (decimal degrees)
Start_Long              Sampling start Longitude (decimal degrees)
End_Day                 Sampling end day
End_Month               Sampling end month
End_Year                Sampling end year
End_Time                Sampling end time
End_Lat                 Sampling end Latitude (decimal degrees)
End_Long                Sampling end Longitude (decimal degrees)
Air_Vol_Chan_1          Volume of air sampled in Chan 1
Air_Vol_Chan_2          Volume of air sampled in Chan 2

Total Data Specific
Fe_Total                Total aerosol Fe concentration
Fe_Total_var            Total aerosol Fe concentration, variance
Fe_Total_QF             Total aerosol Fe concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
Al_Total                Total aerosol Al concentration
Al_Total_var            Total aerosol Al concentration, variance
Al_Total_QF             Total aerosol Al concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
Si_Total                Total aerosol Si concentration
Si_Total_var            Total aerosol Si concentration, variance
Si_Total_QF             Total aerosol Si concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
Ti_Total                Total aerosol Ti concentration
Ti_Total_var            Total aerosol Ti concentration, variance
Ti_Total_QF             Total aerosol Ti concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
V_Total	Total           aerosol V concentration
V_Total_var             Total aerosol V concentration, variance
V_Total_QF              Total aerosol V concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
Mn_Total                Total aerosol Mn concentration
Mn_Total_var            Total aerosol Mn concentration, variance
Mn_Total_QF             Total aerosol Mn concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
Pb_Total                Total aerosol Pb concentration
Pb_Total_var            Total aerosol Pb concentration, variance
Pb_Total_QF             Total aerosol Pb concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.


Soluble Data Specific
Fe_SW_Soluble           Seawater soluble aerosol Fe concentration
Fe_SW_Soluble_Var       Seawater soluble aerosol Fe concentration, variance
Fe_SW_Soluble_QF        Seawater soluble aerosol Fe concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
Fe(II)_SW_Soluble       Seawater soluble aerosol Fe(II) concentration
Fe(II)_SW_Soluble_Var   Seawater soluble aerosol Fe(II) concentration, variance
Fe(II)_SW_Soluble_QF    Seawater soluble aerosol Fe(II) concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
Fe_DI_Soluble           DI water soluble aerosol Fe concentration
Fe_DI_Soluble_Var       DI water soluble aerosol Fe concentration, variance
Fe_DI_Soluble_QF        DI water soluble aerosol Fe concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
Al_DI_Soluble           DI water soluble aerosol Al concentration
Al_DI_Soluble_Var       DI water soluble aerosol Al concentration, variance
Al_DI_Soluble_QF        DI water soluble aerosol Al concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
Si_DI_Soluble           DI water soluble aerosol Si concentration
Si_DI_Soluble_Var       DI water soluble aerosol Si concentration, variance
Si_DI_Soluble_QF        DI water soluble aerosol Si concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
Ti_DI_Soluble           DI water soluble aerosol Ti concentration
Ti_DI_Soluble_Var       DI water soluble aerosol Ti concentration, variance
Ti_DI_Soluble_QF        DI water soluble aerosol Ti concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
V_DI_Soluble            DI water soluble aerosol V concentration
V_DI_Soluble_var        DI water soluble aerosol V concentration, variance
V_DI_Soluble_QF         DI water soluble aerosol V concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
Mn_DI_Soluble           DI water soluble aerosol Mn concentration
Mn_DI_Soluble_var       DI water soluble aerosol Mn concentration, variance
Mn_DI_Soluble_QF        DI water soluble aerosol Mn concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
NO3_DI_Soluble          DI water soluble aerosol Nitrate concentration
NO3_DI_Soluble_QF       DI water soluble aerosol Nitrate concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
nss-SO4_DI_Soluble      DI water soluble aerosol non-sea salt Sulfate concentration
nss-SO4_DI_Soluble_QF   DI water soluble aerosol non-sea salt Sulfate concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
Na_DI_Soluble           DI water soluble aerosol Na concentration
Na_DI_Soluble_QF	DI water soluble aerosol Na concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.
Oxalate_DI_Soluble      DI water soluble aerosol Oxalate concentration
Oxalate_DI_Soluble_QF   DI water soluble aerosol Oxalate concentration, data quality flag,
                        e.g. Highlight any inserted DL values, improbable values, contamination etc.

Qualtity Flag Codes:
Codes in the Quality Flag columns to indicate any data quality concerns.
Includes any values substituted for cases below the detection limit.

BDL - below detection limit (include description of how these values are dealt with in cell C23, DATA sheet)
ADL - concentration in excess of value
C   - contamination suspected
FDV - Filters damaged, value considered valid
FDI - Filters damaged, value considered invalid 
NS  - No sample taken
Note: BCO-DMO standard for no data value "nd" entered into blank fields during BCO-DMO processing srg/25January2011

For methods see:
C.Buck et al., 2006, GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS, doi:10.1029/2005GC000977
C.Buck et al., 2010, Mar. Chem., doi:10.1016/j.marchem.2008.08.003

NSF Award Abstract:
A scientist from Florida State University in collaboration with colleagues from the University of Hawaii and the University of Washington will collect a suite of dissolved and particulate samples from surface waters and vertical profiles (12 depths), as well as atmospheric aerosol and rainwater samples during selected legs of the Repeat Hydrography CO2 cruises. The PIs plan to participate in the following four cruises: (1) the North Atlantic Ocean meridional section (20-25'W) during 2003; (2) the Pacific Ocean zonal section at 30'N during 2004; (3) the South Atlantic Ocean meridional section (20-25'W) in 2005; and (4) the South Pacific Ocean meridional section (150W) in 2005. Samples recovered during these cruises will be analyzed for Fe and Al. In addition, aerosol samples will be subjected to an ultrapure water leach to assess the fractional solubility of Fe and Al. This team of PIs also plans to collect and archive filtered and unfiltered water samples and aerosols for analysis by other scientists in the trace metal and tracer community. The primary objectives of this study is to generate an extensive database of Fe and Al concentrations in water and aerosol samples that can constrain global and regional dust deposition models and determine the role that atmospheric Fe depositions have in delivering Fe to surface waters in the major basins of the world's oceans.

Note: This project is related to the follow-on project titled, "Collaborative Research: Global Ocean Survey of Dissolved Iron and Aluminum and Aerosol Iron and Aluminum Solubility Supporting the CLIVAR Repeat Hydrography Project (2007-2009)"

Note: The official U.S. CLIVAR program description will be supplied by Steve Diggs.

A temporary description copied from the US CLIVAR Web site is:

CLIVAR (Climate Variability and Predictability) is an international, interdisciplinary research effort within the World Climate Research Programme (WCRP) focusing on the variability and predictability of the slowly varying components of the climate system. CLIVAR investigates the physical and dynamical processes in the climate system that occur on seasonal, interannual, decadal and centennial time-scales. CLIVAR recognizes that a critical measure of success in its research program is a transferal of insight and knowledge to routine production of climate forecasts, information and products.

The goals of U.S. CLIVAR include:

• Identifying and understanding the major patterns of climate variability on seasonal, decadal and longer time scales and evaluating their predictability;
• Expanding our capacity in short term (seasonal to interannual) climate predictability and searching for ways to predict decadal variability;
• Better documenting the record of rapid climate changes and the mechanisms for these events, and evaluating the potential for abrupt climate changes in the future;
• Evaluating and enhancing the models used to project climate change due to human activity, including anthropogenically induced changes in atmospheric composition, and:
• Detecting and describing any climate changes that may occur.

Program Data: The data from most projects associated with the US CLIVAR program are not managed by BCO-DMO. Information about these projects and their results are available from the Program and Data site URLs shown above. However, there are a few exceptions, and those projects are listed below when the project section is expanded.