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Data to support Below-cloud scavenging of aerosol by rain: A review of numerical modelling approaches and sensitivity simulations with mineral dust

This dataset contains all the UM-GA8.0 climate model output needed to reproduce Table 2 and Figures 7-10 in the paper Below-cloud scavenging of aerosol by rain: A review of numerical modelling approaches and sensitivity simulations with mineral dust by Anthony C. Jones, Adrian Hill, John Hemmings, Pascal Lemaitre, Arnaud Querel, Claire L. Ryder, and Stephanie Woodward, Submitted to Atmospheric Chemistry and Physics, May 2022, as well as Figures S7-S13 in the Supplementary material. UM-GA8.0 is the Met Office Unified Model General Atmosphere vn8.0 in a climate configuration (N96L85) and using AMIP protocol (see Jones et al., 2022 for more details).



All files are CF-1.7 compliant and in NetCDF format with appropriate metadata. Each file contains monthly mean data for the 15 simulated years used in the paper (the 5 year spin up is not provided).



The files are separated into folders by experiment name:



Folder | Simulation name (Table 1 in Jones et al., 2022)

-------------------------------------------------------------

Slinn | Slinn

Slinnph | Slinn+ph

Slinnphrc | Slinn+ph+rc

Wang | Wang

Laakso | Laakso

SlinnPhRc1M | Slinn+ph+rc(1M)

SlinnPhRcDm | Slinn+ph+rc(dm)

LaaksoDm | Laakso(dm)



The files use standard CMIP naming conventions with one slight modification: before the 'nc' suffix, the aerosol mode that the variable applies to is generally given (either coarse (cor) or accumulation (acc) mode). The STARTDATE and ENDDATES are the same for all files (12/1993 and 11/2008 respectively). As is the TIMEPERIOD (Amon, i.e., monthly mean data) and the MODEL (MetUM, else known as UM-GA8.0).



VARIABLE_TIMEPERIOD_MODEL_EXPERIMENT_STARTDATE_ENDDATE.MODE.nc



The variables comprise:



Short name | Description (units, if any)

-------------------------------------------------------------

conccn | Particle number concentration (m-3)

concdust | Particle mass concentration (kg.m-3)

diamdust | Modal median diameter (m)

drydust | Dust dry deposition rate (kg.m-2.s-1)

emidust | Dust surface emission rate (kg.m-2.s-1)

loaddust | Vertically integrated dust load (kg.m-2)

mmratedust | Dust mode-merging (cor->acc) rate (kg.m-3.s-1)

od443dust | Dust optical depth at 443 nm

od550dust | Dust optical depth at 443 nm

orog | Surface Altitude (m)

wetdust | Dust wet deposition rate (kg.m-2.s-1)

zfull | Model altitude at the top of the gridcell (m)



The mass concentration (concdust), number concentration (conccn), and mass burden (loaddust) were calculated from monthly-mean mass or number mixing ratios and monthly mean potential temperature, pressure, and specific humidity fields (not supplied). The mode mixing rate (mmratedust) is only available for the downard mode merging simulations (SlinnPhRcDm and LaaksoDm).



All figures in the paper were produced using Python (3.6) and Iris scientific analysis software.



All data is Crown Copyright, Met Office, and is made available under the terms of the Non-Commercial Government Licence: http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/

Simple

Date (Publication)
2022-06-06T11:36:02
Date (Creation)
2022-06-06T11:36:02
Citation identifier
https://catalogue.ceda.ac.uk/uuid/2e36fe8eb7ee4bd0a0833d3e1edd795a
Citation identifier
NERC EDS Centre for Environmental Data Analysis / 2e36fe8eb7ee4bd0a0833d3e1edd795a
Citation identifier
doi / 10.5285/2e36fe8eb7ee4bd0a0833d3e1edd795a
Point of contact
Organisation name Individual name Electronic mail address Role

Unavailable

Jones, Anthony

Unavailable

Author

Unavailable

Hill, Adrian

Unavailable

Author

Unavailable

Hemmings, John

Unavailable

Author

Unavailable

Lemaitre, Pascal

Unavailable

Author

Unavailable

Querel, Arnaud

Unavailable

Author

Unavailable

Ryder, Claire

Unavailable

Author

Unavailable

Woodward, Stephanie

Unavailable

Author

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Custodian

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Distributor

Unavailable

Scaife, Adam

Unavailable

Principal investigator

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

pointofContact

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Publisher
Maintenance and update frequency
Not planned
Update scope
Dataset
Keywords
  • Not defined

GEMET - INSPIRE themes, version 1.0

  • atmospheric conditions

Access constraints
Other restrictions
Other constraints
Public data: access to these data is available to both registered and non-registered users.
Use constraints
Other restrictions
Other constraints
Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Spatial representation type
Grid
Language
English
Topic category
  • Climatology, meteorology, atmosphere
N
S
E
W
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Begin date
1993-12-01T00:00:00
End date
2008-11-30T00:00:00
Unique resource identifier
WGS 84
Distribution format
Name Version

Data are NetCDF formatted.

Distributor contact
Organisation name Individual name Electronic mail address Role

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://catalogue.ceda.ac.uk/uuid/2e36fe8eb7ee4bd0a0833d3e1edd795a

CEDA Data Catalogue Page

OnLine resource
Protocol Linkage Name
http://data.ceda.ac.uk/badc/deposited2022/below-cloud-scavenging-aerosol/

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Hierarchy level
Dataset

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Statement

The data is model output from MetUM simulations performed on the Met Office Cray XC40 supercomputer. The output was then processed and made CF-compliant using Python with the Iris module.

Metadata

File identifier
2e36fe8eb7ee4bd0a0833d3e1edd795a XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2026-02-05T03:25:38
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

GEMET - INSPIRE themes, version 1.0

atmospheric conditions


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