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Dataset

 

GloCAEM: Atmospheric electricity measurements at Negev Mitzpe_Ramon, Israel

Update Frequency: Irregular
Latest Data Update: 2018-03-27
Status: Ongoing
Online Status: ONLINE
Publication State: Published
Publication Date: 2017-09-08
Download Stats: last 12 months
Dataset Size: 591 Files | 1GB

Abstract

Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.

This dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Negev Mitzpe_Ramon.

Citable as:  Yaniv, R. (2017): GloCAEM: Atmospheric electricity measurements at Negev Mitzpe_Ramon, Israel. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/2ce214dd45b94730861593757ad80912/
Abbreviation: Not defined
Keywords: GloCAEM, GEC, electric potential, electric field

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
Use of these data is covered by the following licence(s):
http://creativecommons.org/licenses/by/4.0/
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data collected by project team and sent to CEDA

Data Quality:
Data provided by project group
File Format:
Data are BADC-CSV formatted

Related Documents

 GLOCAEM

Process overview

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

None

  • long_name: potential gradient
  • names: potential gradient

Co-ordinate Variables

  • standard_name: time
  • long_name: DAY
  • names: time, DAY
  • standard_name: time
  • long_name: Hours
  • names: time, Hours
  • standard_name: time
  • long_name: MONTH
  • names: time, MONTH
  • standard_name: time
  • long_name: Minutes
  • names: time, Minutes
  • standard_name: time
  • long_name: Seconds
  • names: time, Seconds
  • standard_name: time
  • long_name: YEAR
  • names: time, YEAR
Coverage
Temporal Range
Start time:
2015-01-01T00:00:00
End time:
2017-10-31T23:59:59
Geographic Extent

 
30.5800°
 
34.7500°
 
34.7500°
 
30.5800°
 
Related parties
Authors (1)
Principal Investigators (1)
Co-Investigators (1)