This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 

Dataset

 

Atmospheric aerosols and meteorological observations for the Black and Bloom project.

Update Frequency: Not Planned
Latest Data Update: 2025-07-25
Status: Ongoing
Online Status: ONLINE
Publication State: Preview
Publication Date:

THIS RECORD HAS NOT BEEN PUBLISHED YET - PREVIEW ONLY!
Abstract

In situ observations of atmospheric aerosols (optical particle counter) and basic meteorological parameters collected during two seasons on the Greenland Ice sheet for the Black and Bloom project.
Black and Bloom is a research project, funded by the UK Natural Environment Research Council (NERC), that aims to unravel how dark particles (black) and microbial processes (bloom) darken and accelerate the melting of the Greenland Ice Sheet. The data has been collected during two distinct field seasons (July 12 – August 18, 2016 and June 1 – 28, 2017). During this time there were instrument outages and also the aerosol samplers were turned off during helicopter activity.
These particulate measurements were used to estimate deposition velocities.
Offline DNA (OTU) analysis are included from air samples collected during the campaigns as well as Scanning Electron Microscope (SEM) particle size analysis.
In addition (in a seperate folder), ten-day particle dispersion calculations made using the FLEXPART model initiated from the ground site (67.07° N, 49.38° W 1073 m Above Mean Sea Level)

Citable as:  [ PROVISIONAL ] University of Leeds; McQuaid, J.B.; McCutcheon, J.; Benning, L.; Canha, N.; Barr, S.; Tranter, M.; Lutz, S.; Mayanna, S.; Roddatis, V.; Tedstone, A. (9999): Atmospheric aerosols and meteorological observations for the Black and Bloom project.. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/749bd99f286248a1a0a21f26cd30e2ee

Abbreviation: Not defined
Keywords: Greenland Ice Sheet, aerosols, particles, mineral dust, glacier ice algae, grain size, phosphorus, snow, nutrients

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s):
http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

The data were collected by the project team during two distinct field seasons (July 12 – August 18, 2016 and June 1 – 28, 2017) and archived at CEDA.

Data Quality:
The data contain gaps where there were instrument outages and when the aerosol samplers were turned off during helicopter activity.
File Format:
BADC-CSV

Related Documents

No documents related to this record were found.

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Independent Instruments

Aerosol & Meteorological sampling

Computation Element: 1

Title FLEXPART
Abstract Ten-day particle dispersion calculations made using the FLEXPART model initiated from the ground site (67.07° N, 49.38° W 1073 m AMSL) in the ablation zone in southwest Greenland, approximately 35 km from the ice sheet margin. The outputs were collated into animations
Input Description None
Output Description None
Software Reference None
Output Description

None

  • units:
  • var_id: 6
  • long_name: 2016 field season particle count measurements (n)
  • units:
  • var_id: 5
  • long_name: 2016 field season particle flux SD
  • units:
  • var_id: 4
  • long_name: 2016 field season particle flux mean ( g.m-2.s-1)
  • units:
  • var_id: 9
  • long_name: 2017 field season particle count measurements (n)
  • units:
  • var_id: 8
  • long_name: 2017 field season particle flux SD
  • units:
  • var_id: 7
  • long_name: 2017 field season particle flux mean ( g.m-2.s-1)
  • units:
  • var_id: 2
  • long_name: Bin 1 (0.38-0.54 m)
  • var_id: 11
  • units:
  • long_name: Bin 10 (5.0-6.5 m)
  • var_id: 12
  • units:
  • long_name: Bin 11 (6.5-8.0 m)
  • units:
  • var_id: 13
  • long_name: Bin 12 (8.0-10.0 m)
  • units:
  • var_id: 14
  • long_name: Bin 13 (10.0-12.0 m)
  • units:
  • var_id: 15
  • long_name: Bin 14 (12.0-14.0 m)
  • units:
  • var_id: 16
  • long_name: Bin 15 (14.0-16.0 m)
  • units:
  • var_id: 17
  • long_name: Bin 16 (16.0-17.0 m)
  • units:
  • var_id: 3
  • long_name: Bin 2 (0.54-0.78 m)
  • units:
  • var_id: 4
  • long_name: Bin 3 (0.78-1.0 m)
  • units:
  • var_id: 5
  • long_name: Bin 4 (1.0-1.3 m)
  • units:
  • var_id: 6
  • long_name: Bin 5 (1.3-1.6 m)
  • units:
  • var_id: 7
  • long_name: Bin 6 (1.6-2.1 m)
  • units:
  • var_id: 8
  • long_name: Bin 7 (2.1-3.0 m)
  • units:
  • var_id: 9
  • long_name: Bin 8 (3.0-4.0 m)
  • var_id: 10
  • units:
  • long_name: Bin 9 (4.0-5.0 m)
  • units:
  • var_id: 9
  • long_name: CR16.10 (coriolis air sample)
  • var_id: 10
  • units:
  • long_name: CR16.8 (coriolis air sample)
  • var_id: 11
  • units:
  • long_name: CR16.9 (coriolis air sample)
  • var_id: 12
  • units:
  • long_name: CR17.1 (coriolis air sample)
  • units:
  • var_id: 13
  • long_name: CR17.11 (coriolis air sample)
  • units:
  • var_id: 14
  • long_name: CR17.13 (coriolis air sample)
  • units:
  • var_id: 15
  • long_name: CR17.3 (coriolis air sample)
  • units:
  • var_id: 16
  • long_name: CR17.5 (coriolis air sample)
  • units:
  • var_id: 17
  • long_name: CR17.7 (coriolis air sample)
  • units:
  • var_id: 18
  • long_name: CR17.9 (coriolis air sample)
  • units:
  • var_id: 4
  • long_name: Class
  • units:
  • var_id: 1
  • long_name: Date and time (DD-MM-YYYY HH:MM:SS)
  • units:
  • var_id: 6
  • long_name: Family
  • units:
  • var_id: 7
  • long_name: Genus
  • units:
  • var_id: 19
  • long_name: GrIS17.18 (snow sample)
  • units:
  • var_id: 20
  • long_name: GrIS17.19 (snow sample)
  • units:
  • var_id: 21
  • long_name: GrIS17.20 (snow sample)
  • units:
  • var_id: 22
  • long_name: GrIS17.22 (snow sample)
  • units:
  • var_id: 2
  • long_name: Kingdom
  • units:
  • var_id: 7
  • long_name: Mean particle diameter ( m)
  • units:
  • var_id: 1
  • long_name: OTU
  • units:
  • var_id: 5
  • long_name: Order
  • units:
  • var_id: 8
  • long_name: Particle diameter SD
  • units:
  • var_id: 3
  • long_name: Phylum
  • units:
  • var_id: 2
  • long_name: Sample ID as listed in the supplemental information file for the article
  • units:
  • var_id: 3
  • long_name: Sample collection start date
  • long_name: Species
  • units:
  • var_id: 8
  • units:
  • var_id: 1
  • long_name: Year of sample collection
  • units:
  • var_id: 3
  • long_name: air temperature (degrees Celsius)
  • units:
  • var_id: 2
  • long_name: bin maximum ( m)
  • units:
  • var_id: 3
  • long_name: bin middle ( m)
  • units:
  • var_id: 1
  • long_name: bin minimum ( m)
  • units:
  • var_id: 1
  • long_name: date (YYYY-MM-DD)
  • units:
  • var_id: 4
  • long_name: humidity (% relative to water)
  • units:
  • var_id: 6
  • long_name: number of particles measured (n)
  • units:
  • var_id: 9
  • long_name: power (V)
  • units:
  • var_id: 7
  • long_name: radiation (%)
  • units:
  • var_id: 8
  • long_name: rainfall (mm)
  • units:
  • var_id: 4
  • long_name: sample collection end date
  • units:
  • var_id: 2
  • long_name: time (HH:MM:SS)
  • units:
  • var_id: 5
  • long_name: volume of air sampled (L)
  • long_name: wind direction (degrees)
  • units:
  • var_id: 5
  • units:
  • var_id: 6
  • long_name: wind speed (ms-1)

Co-ordinate Variables

Coverage
Temporal Range
Start time:
2016-07-07T00:00:00
End time:
2017-06-28T00:00:00
Geographic Extent

 
67.0700°
 
-49.3800°
 
-49.3800°
 
67.0700°