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DCMEX: meteorological data from Langmuir ground station for the New Mexico field campaign 2022

Meteorological data was collected by the University of Manchester at Langmuir ground station in the Magdalena Mountains, New Mexico, between July and August 2022 as part of the Deep Convective Microphysics Experiment (DCMEX) project.



This dataset contains meteorological data from two ground meteorological stations. A Gill MaxiMet GMX600 meteorological station was installed at the Langmuir Laboratory main building (33.97495N, 107.18100W, ~3255 m) next to the Digitel aerosol filter sampler and provides measurements of wind speed, wind direction, temperature, humidity, pressure, and precipitation rate. A second meteorological station, a Vaisalla WTX536 meteorological station, was installed at the Langmuir Kiva-2 laboratory next to the Digitel aerosol filter sampler and provides measurements of wind speed, wind direction, temperature, humidity, pressure, and precipitation rate. The meteorological stations are supported by the University of Manchester scientists.

Simple

Date (Publication)
2024-02-06T09:35:24
Date (Creation)
2024-02-06T09:35:24
Citation identifier
https://catalogue.ceda.ac.uk/uuid/87afd9f974c6424290435bd9a418f71a
Citation identifier
NERC EDS Centre for Environmental Data Analysis / 87afd9f974c6424290435bd9a418f71a
Citation identifier
doi / 10.5285/87afd9f974c6424290435bd9a418f71a
Point of contact
Organisation name Individual name Electronic mail address Role

Unavailable

Flynn, Michael

Unavailable

Author

Unavailable

Wu, Huihui

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

Blyth, Alan

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
  • wind speed

  • wind direction

  • temperature

  • humidity

  • pressure

  • and precipitation

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
2022-07-16T00:00:00
End date
2022-08-10T00:00:00
Unique resource identifier
WGS 84
Distribution format
Name Version

BADC-CSV

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/87afd9f974c6424290435bd9a418f71a

CEDA Data Catalogue Page

OnLine resource
Protocol Linkage Name
http://data.ceda.ac.uk/badc/dcmex/data/DCMEX2022_Ground_Met/

DOWNLOAD

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

Data were collected by the University of Manchester instrument scientist before preparation for archiving and delivery to CEDA.

Metadata

File identifier
87afd9f974c6424290435bd9a418f71a XML
Metadata language
English
Character set
UTF8
Parent identifier
DCMEX: Collection of in-situ airborne observations, ground-based meteorological and aerosol measurements and cloud imagery for the Deep Convective Microphysics Experiment

b1211ad185e24b488d41dd98f957506c

Hierarchy level
Dataset
Date stamp
2026-02-05T03:27:05
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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