Date (Creation)

2019-10-10

Date (Revision)

2019-10-10

Date (Publication)

2019-10-10

Date (released)

2019-10-10

Edition

1

Unique resource identifier

https://doi.org/10.5285/8313ce72-0d99-43bf-ae7b-1ea3904534d3

Codespace

doi

Unique resource identifier

GB/NERC/BAS/PDC/01248

Codespace

https://data.bas.ac.uk/

Unique resource identifier

NE/M021025/1

Codespace

award

Other citation details

Please cite this item as: shortdoi:10/dhbc

Credit

No credit.

Status

Completed

Point of contact

Organisation name	Individual name	Electronic mail address	Role
University of Bristol	Williamson, Christopher		Author
NERC EDS UK Polar Data Centre		PDCServiceDesk@bas.ac.uk	Point of contact

Maintenance and update frequency

As needed

Maintenance note

Completed

Global Change Master Directory (GCMD) Science Keywords

• EARTH SCIENCE > Biosphere > Plant Taxonomy > Algae
• EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Ice Sheets
• EARTH SCIENCE > Cryosphere > Snow/Ice > Albedo

Theme

• Greenland Ice Sheet

• albedo

• glacier algae

• melt

• photophysiology

Place

• Greenland Arctic

GEMET - INSPIRE themes, version 1.0

• Habitats and biotopes
• Elevation
• Meteorological geographical features

Access constraints

Other restrictions

Other constraints

no limitations to public access

Access constraints

Other restrictions

Other constraints

no limitations

Use constraints

License

Other constraints

Open Government Licence v3.0

Use constraints

Other restrictions

Other constraints

This data is governed by the NERC Data Policy: https://www.ukri.org/who-we-are/nerc/our-policies-and-standards/nerc-data-policy/

Use constraints

Other restrictions

Other constraints

This data is governed by the NERC data policy and supplied under Open Government Licence v.3

Use constraints

Other restrictions

Other constraints

No restrictions.

Unique resource identifier

url

Codespace

url

Association Type

Cross reference

Unique resource identifier

url

Codespace

url

Association Type

Cross reference

Unique resource identifier

url

Codespace

url

Association Type

Larger work citation

Spatial representation type

Text, table

Language

English

Character set

UTF8

Topic category

• Climatology, meteorology, atmosphere
• Environment

Begin date

2016-06-01

End date

2016-09-01

Supplemental Information

It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk.

Title

European Petroleum Survey Group (EPSG) Geodetic Parameter Registry

Date (Publication)

2008-11-12

Cited responsible party

Organisation name	Individual name	Electronic mail address	Role
European Petroleum Survey Group		EPSGadministrator@iogp.org	Publisher

Unique resource identifier

urn:ogc:def:crs:EPSG::3031

Version

6.18.3

Hierarchy level

Dataset

Statement

Methodology:

Data was gathered during the 2016 Black and Bloom field campaign and processed in the LowTex and MicroLab laboratories at the University of Bristol. Details on sample collection, processing and analysis can be found in the referenced publication, and all R data analysis scripts are available here.

In-situ data collection spanned June-August 2016. Model runs spanned 1st June 2016 - 1st September 2016. All in-situ observations and incubation studies were conducted in proximity to the IMAU (Utrecht) automatic weather station S6 of the K-Transect in southwest Greenland (67.04 N, 49.07W). Model runs were performed for sites S6, S8, S9 and S10 of the K-Transect.

Data collection:

Instrumentation:

Algal cell abundance was quantified using a Fuchs-Rosenthal haemocytometer (Lancing, UK) on a LeicaDM 2000 epifluorescence microscope with attached MC120 HD camera (Leica, Germany). Photophysiology was assessed using a Water-PAM fluorometer with attached cuvette system (Walz GmBH, Germany).

Algal pigmentation was assessed using a combination of High-Performance

Liquid Chromatography (HPLC) using an Agilent 1100 HPLC equipped with a diode-array detector, and spectrophotometric wave-scans using a WPA Light-Wave II UV/Visible spectrophotometer (Biochrom, UK). Albedo modelling was achieved using the radiative transfer model BioSNICAR-GO. GrIS surface ice broadband albedo for June, July and August 2016 were derived from clear-sky MODIS MOD10A1 satellite observations at 500 m horizontal resolution. Glacier algal biomass was modelled in GrIS surface ice forced by hourly snowpack thickness, shortwave-down radiation and air temperature from re-analysis outputs produced by the regional climate model MARv3.8.1 forced with ERA

-Interim at 20km resolution.

Data quality:

All analyses performed on data are available as associated script files.

Metadata

File identifier

8313ce72-0d99-43bf-ae7b-1ea3904534d3 XML

Metadata language

English

Character set

UTF8

Hierarchy level

Dataset

Hierarchy level name

dataset

Date stamp

2019-10-10

Metadata standard name

ISO 19115 Geographic Information - Metadata

Metadata standard version

ISO 19115:2003(E)

Metadata author

Organisation name	Individual name	Electronic mail address	Role
NERC EDS UK Polar Data Centre		polardatacentre@bas.ac.uk	Point of contact