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Metadata Report for BODC Series Reference Number 953305


Metadata Summary

Data Description

Data Category Atmospheric composition
Instrument Type
NameCategories
Manchester Centre for Atmospheric Science Differential Mobility Particle Sizer  Aerosol physical characterisers
Instrument Mounting research vessel
Originating Country United Kingdom
Originator Dr James Allan
Originating Organization University of Manchester School of Earth Atmospheric and Environmental Sciences
Processing Status QC in progress
Online delivery of data Download not available
Project(s) UKSOLAS
UKSOLAS_RHAMBLE
 

Data Identifiers

Originator's Identifier D319_DRY_AEROSOL_DIST_POS
BODC Series Reference 953305
 

Time Co-ordinates(UT)

Start Time (yyyy-mm-dd hh:mm) 2007-05-19 00:00
End Time (yyyy-mm-dd hh:mm) 2007-06-09 07:00
Nominal Cycle Interval 600.0 seconds
 

Spatial Co-ordinates

Southernmost Latitude 16.31470 N ( 16° 18.9' N )
Northernmost Latitude 46.14290 N ( 46° 8.6' N )
Westernmost Longitude 25.05360 W ( 25° 3.2' W )
Easternmost Longitude 8.34830 W ( 8° 20.9' W )
Positional Uncertainty 0.0 to 0.01 n.miles
Minimum Sensor or Sampling Depth -10.0 m
Maximum Sensor or Sampling Depth -10.0 m
Minimum Sensor or Sampling Height -
Maximum Sensor or Sampling Height -
Sea Floor Depth -
Sea Floor Depth Source -
Sensor or Sampling Distribution Fixed common depth - All sensors are grouped effectively at the same depth which is effectively fixed for the duration of the series
Sensor or Sampling Depth Datum Instantaneous - Depth measured below water line or instantaneous water body surface
Sea Floor Depth Datum -
 

Parameters

No Parameters for BODC Reference Number = 953305

Definition of Rank

  • Rank 1 is a one-dimensional parameter
  • Rank 2 is a two-dimensional parameter
  • Rank 0 is a one-dimensional parameter describing the second dimension of a two-dimensional parameter (e.g. bin depths for moored ADCP data)

Problem Reports

No Problem Report Found in the Database

Data Quality Report

No problems with data quality were reported by the data originator, or identified by BODC.


Data Access Policy

Public domain data

These data have no specific confidentiality restrictions for users. However, users must acknowledge data sources as it is not ethical to publish data without proper attribution. Any publication or other output resulting from usage of the data should include an acknowledgment.

The recommended acknowledgment is

"This study uses data from the data source/organisation/programme, provided by the British Oceanographic Data Centre and funded by the funding body."


Narrative Documents

Instrument Description

Manchester Centre for Atmospheric Science (CAS) Differential Mobility Particle Sizer (DMPS)

The Manchester Centre for Atmospheric Science (CAS) Differential Mobility Particle Sizer (DMPS) measures aerosol particle size distributions. The instrument comprises two differential mobility analysers (DMA, Winklmayer et al., 1991), each with a condensation particle counter. Each DMA-CPC pairing is equipped to select particles within a different size range: ultrafine 3.4-34 nm; standard 30-830 nm. The DMA selects charged particles for detection as a function of their mobility in an electric field. Successive size fractions are counted by CPC. The DMPS returns a size/particle count spectrum every 10 minutes during sampling.

The ultrafine DMA is attached to a TSI 3025A ultrafine CPC (particle detection limit 50% at 3 nm). The standard DMA is attached to aTSI 3010 CPC (particle detection limit 50% at 10 nm).

References

Winklmayer W., Reischl G.P., Lindner A.O., Berner A., 1991. A new electromobility spectrometer for the measurement of aerosol size distributions in the size range from 1 to 1000 nm, Journal of Aerosol Science, 22, 289-296.

Aerosol Properties Sampling

The University of Manchester deployed a suite of instruments to measure aerosol properties on D319. Wet and dry aerosol size spectra were measured by a combination of Differential Mobility Particle Sizers and an Optical Particle Counter. Online aerosol particle composition was determined by Aerodyne Aerosol Mass Spectrometer, and by Multi Angle Aerosol Photometer. Aerosol particle growth factors were measured by a Hygroscopicity Tandem Differential Mobility Analyser. A combination of samplers was used for the offline analysis of aerosol particle composition: a four stage Harvard compact cascade impactor, and an Anderson high-volume sampler.

Atmospheric aerosols were sampled throughout the D319 cruise through a 10 m vertical inlet stack mounted on the forecastle deck. Air was drawn in though a 2.5 µm cutoff cyclone, and distributed to the instruments listed above through a horizontal manifold, using isokinetic sampling ports.

BODC Data Processing

Data were received by BODC in tab separated ASCII format (D319_dry_aerosol_dist_v1.txt). This file included date and time, aerosol size spectra, and three derived parameters: aerosol total number concentration; aerosol total surface area concentration; and aerosol total volume concentration. The derived parameters were calculated as sums across all size bins, assuming spherical particles of diameter equal to the middle of the range for that bin. The derived parameters have not been banked in the BODC database, but the original data file containing these variables are available on request.

No position data were supplied with the DMSP data. Latitude and longitude position were merged into the data file, by BODC, from the screened and processed cruise navigation file, matching on time.

Bin sizes were defined in a separate file: Aerosol_d_bins_v1.txt. The file specified lower and upper bounds for each size category. There were 64 size bins, between 10 nm and 10000 nm, evenly distributed in log diameter space. Note that the BODC parameter is defined by its upper bound only. The lower bound for each bin is the upper bound of the next, smaller, size category, or zero nm in the case of the smallest size category.

Parameter codes defined in the BODC parameter dictionary were mapped to the variables as follows:

Orginator's Parameter Units Description BODC Parameter Code Units Comments
Latitude Degrees Latitude north (WGS84) by unspecified GPS system ALATGP01 Degrees Merged from navigation file by BODC
Longitude Degrees Longitude east (WGS84) by unspecified GPS system ALONGP01 Degrees Merged from navigation file by BODC
Aerosol size spectra ml-1 Concentration of particles per unit volume of the atmosphere dry air [aerosol phase] by particle sizer OPCDAER1 ml-1 n/a
Aerosol size bin nm Size class maximum size (equivalent spherical diameter) by particle sizer OPCABIN1 nm n/a

The data were banked according to BODC standard procedures for series data. Once tagged with the appropriate parameter code, the data were loaded into BODC Series Database.

Originator's Data Processing

Two differential mobility particle sizers (DMPS) were run in parallel during the deployment: one maintained ambient humidity, while the other analysed air samples dried to < 20% relative humidity using Perma Pure Nafion driers. The driers operate by channelling the incoming air sample through a semi permeable tube, exposed to a counterflow of drier air, to remove moisture from the sample. As the dry DMPS was reliant on the same driers as the cloud condensation nucleus counter, these two instruments were run on alternate hours throughout their deployments.

The dry DMPS was calibrated prior to the cruise, using NIST traceable Polystyrene Latex Spheres (PSL) standard. The data submitted to BODC had already been corrected according to this calibration.

Further details of sampling strategy and methodology for this, and other D319 data sets, are available from the D319 cruise report, and from Allan et al. (2009). A detailed decription of wet and dry DMSP, and the interpolation between OPC and wet DMPS is given by Williams et al. (2007).

References

Allan, J.D., Topping D.O., Good N., Irwin M., Flynn M., Williams P.I., Coe H., Baker A.R., Martino M., Niedermeier N., Wiedensohler A., Lehmann S., Muller K., Herrmann H., McFiggans G., 2009. Composition and properties of atmospheric particles in the eastern Atlantic and impacts on gas phase uptake rates, Atmospheric Chemistry and Physics, 9, 9299-9314.

Williams P.I., McFiggans G., Gallagher M.W., 2007. Latitudinal aerosol size distribution variation in the Eastern Atlantic Ocean measured aboard the FS-Polarstern, Atmospheric Chemistry and Physics, 7, 2563-2573.


Project Information

UK Surface Ocean Lower Atmosphere Study

The UK Surface Ocean Lower Atmosphere Study (UK SOLAS) is the UK's contribution to the international SOLAS programme.

UK SOLAS formed interdisciplinary teams to address three primary aims

  • To determine the mechanisms controlling rates of chemical transfer and improve estimates of chemical exchanges
  • To evaluate the impact of these exchanges on the biogeochemistry of the surface ocean and lower atmosphere and on feedbacks between the ocean and atmosphere
  • To quantify the impacts of these boundary layer processes on the global climate system

UK SOLAS started in 2003, to run for seven years. The programme was funded by the Natural Environment Research Council.

Funded projects

In total, 19 projects have been funded by UK SOLAS, over four funding rounds.

Project Title Short Title Principal Investigator
Impact of atmospheric dust derived material and nutrient inputs on near-surface plankton microbiota in the tropical North Atlantic Dust Eric Achterberg
The role and effects of photoprotective compounds in marine plankton - Steve Archer
Field observations of sea spray, gas fluxes and whitecaps SEASAW Ian Brooks
Factors influencing the biogeochemistry of iodine in the marine environment - Lucy Carpenter
Global model of aerosol processes - effects of aerosol in the marine atmospheric boundary layer GLOMAP Ken Carslaw
Ecological controls on fluxes of dimethyl sulphide (DMS) to the atmosphere - David Green
Dust outflow and deposition to the ocean DODO Ellie Highwood
Investigation of near surface production of iodocarbons - rates and exchanges INSPIRE Gill Malin
Reactive halogens in the marine boundary layer RHaMBLe Gordon McFiggans
The role of bacterioneuston in determining trace gas exchange rates - Colin Murrell
Measuring methanol in sea water and investigating its sources and sinks in the marine environment - Phil Nightingale
The impact of coastal upwellings on air-sea exchange of climatically important gases ICON Carol Robinson
The Deep Ocean Gas Exchange Experiment DOGEE Rob Upstill-Goddard
High wind air-sea exchanges HiWASE Margaret Yelland
Aerosol characterisation and modelling in the marine environment ACMME James Allan
3D simulation of dimethyl sulphide (DMS) in the north east Atlantic - Icarus Allen
Processes affecting the chemistry and bioavailability of dust borne iron - Michael Krom
The chemical structure of the lowermost atmosphere - Alastair Lewis
Factors influencing the oxidative chemistry of the marine boundary layer - Paul Monks

UK SOLAS has also supported ten tied studentships, and two CASE studentships.

Fieldwork

UK SOLAS fieldwork has included eight dedicated research cruises in the North Atlantic Ocean. Continuous measurements were made aboard aboard the Norwegian weather ship, Polarfront, until her decommission in 2009. Time series have been established at the SOLAS Cape Verde Observatory, and at the Plymouth Marine Laboratory L4 station. Experiments have taken place at the Bergen mesocosm facility.

A series of collaborative aircraft campaigns have added complementary atmospheric data. These campaigns were funded by UK SOLAS, African Monsoon Multidisciplinary Analyses (AMMA-UK), Dust and Biomass Experiment (DABEX) and the Facility for Airborne Atmospheric Measurements (FAAM).

Weblink: http://www.nerc.ac.uk/research/programmes/solas/


UK SOLAS, Reactive Halogens in the Marine Boundary Layer (RHaMBLe)

This project was run by the University of Manchester, aiming to quantify the impacts of marine halogens on atmospheric composition. Emphasis was placed on the roles of halogens in oxidative processes, and on aerosol formation and transformations. Observations were made of a range of reactive halogen species in the marine atmosphere.

Fieldwork included open ocean and coastal campaigns:

  • Intensive field campaign at the Cape Verde observatory
  • Simultaneous ship transect through the Mauretanian Upwelling region (D319)
  • Coastal field project to diagnose links between particle formation and reactive halogen species

These observations provide a comprehensive characterisation of halogen compounds in the marine atmosphere. New understanding of halogen chemistry enables development of parameterisations for model tuning. RHaMBLe has extensive links with UK SOLAS funded projects, and with other UK and internationally funded projects.

More detailed information on this project may be found in the official cruise report for the RHaMBLe cruise, D319.

Weblink: http://www.nerc.ac.uk/research/programmes/solas/


Data Activity or Cruise Information

Cruise

Cruise Name D319
Departure Date 2007-05-19
Arrival Date 2007-06-11
Principal Scientist(s)Gordon B McFiggans (University of Manchester School of Earth Atmospheric and Environmental Sciences)
Ship RRS Discovery

Complete Cruise Metadata Report is available here


Fixed Station Information


No Fixed Station Information held for the Series


BODC Quality Control Flags

The following single character qualifying flags may be associated with one or more individual parameters with a data cycle:

Flag Description
Blank Unqualified
< Below detection limit
> In excess of quoted value
A Taxonomic flag for affinis (aff.)
B Beginning of CTD Down/Up Cast
C Taxonomic flag for confer (cf.)
D Thermometric depth
E End of CTD Down/Up Cast
G Non-taxonomic biological characteristic uncertainty
H Extrapolated value
I Taxonomic flag for single species (sp.)
K Improbable value - unknown quality control source
L Improbable value - originator's quality control
M Improbable value - BODC quality control
N Null value
O Improbable value - user quality control
P Trace/calm
Q Indeterminate
R Replacement value
S Estimated value
T Interpolated value
U Uncalibrated
W Control value
X Excessive difference

SeaDataNet Quality Control Flags

The following single character qualifying flags may be associated with one or more individual parameters with a data cycle:

Flag Description
0 no quality control
1 good value
2 probably good value
3 probably bad value
4 bad value
5 changed value
6 value below detection
7 value in excess
8 interpolated value
9 missing value
A value phenomenon uncertain
B nominal value
Q value below limit of quantification