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Dataset

 

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

Update Frequency: Not Planned
Latest Data Update: 2024-01-31
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2024-02-06
DOI Publication Date: 2024-05-01
Download Stats: last 12 months
Dataset Size: 4 Files | 4MB

Abstract

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.

Citable as:  Flynn, M.; Wu, H. (2024): DCMEX: meteorological data from Langmuir ground station for the New Mexico field campaign 2022. NERC EDS Centre for Environmental Data Analysis, 01 May 2024. doi:10.5285/87afd9f974c6424290435bd9a418f71a. https://dx.doi.org/10.5285/87afd9f974c6424290435bd9a418f71a
Abbreviation: Not defined
Keywords: wind speed, wind direction, temperature, humidity, pressure, and precipitation

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: 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:

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

Data Quality:
The data are supplied as-is with no quality control applied by Centre for Environmental Data Analysis
File Format:
BADC-CSV

Related Documents

No documents related to this record were found.

Process overview

This dataset was generated by instruments deployed on platforms as listed below.
Output Description

None

No variables found.

Coverage
Temporal Range
Start time:
2022-07-16T00:00:00
End time:
2022-08-10T00:00:00
Geographic Extent

 
34.0503°
 
-107.1880°
 
-107.1307°
 
33.9913°
 
Related parties
Principal Investigators (1)