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Dataset

 

Surface level turbulence derived from MASIN flight measurements and the MetUM model for the Iceland Greenland Sea's Project (IGP)

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2024-01-16
DOI Publication Date: 2024-01-18
Download Stats: last 12 months
Dataset Size: 2 Files | 356KB

Abstract

This dataset contains surface layer turbulent fluxes and meteorological variables derived from Meteorological Airborne Science Instrumentation (MASIN) instrumentation measurements onboard the British Antarctic Survey (BAS) Twin Otter aircraft combined with the Met Office Unified Model (MetUM) 2.2 km quasi-operational forecast model output. These data were based on measurements made during the February-March 2018 field campaign of the Iceland Greenland Sea's Project (IGP) which included the UK component- Atmospheric Forcing of the Iceland Sea (AFIS) project- funded by NERC (NE/N009754/1).

Citable as:  Renfrew, I.; Elvidge, A.D. (2024): Surface level turbulence derived from MASIN flight measurements and the MetUM model for the Iceland Greenland Sea's Project (IGP). NERC EDS Centre for Environmental Data Analysis, 18 January 2024. doi:10.5285/a9746a66ed654c26983eb7529a592275. https://dx.doi.org/10.5285/a9746a66ed654c26983eb7529a592275
Abbreviation: Not defined
Keywords: IGP, AFIS, MetUM, MASIN, turbulence

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:

These data were produced by the project team and the output data were then supplied to CEDA for archiving.

Data Quality:
No quality information available. Data are as provided by the project team
File Format:
ASCII

Process overview

This dataset was generated by the computation detailed below.
Title

Run-mean computation from MASIN and the MetUM 2.2 km from the Iceland Greenland Sea's Project (IGP) field campaign

Abstract

Each long-run leg is divided into 150-second (~9 km) sections ("runs"), over which the flight data is averaged and fluxes are derived. The distance 9 km was chosen as analysis from the Aerosol Cloud Coupling and Climate Interactions in the Arctic (ACCACIA) project showed this length to be optimal for sampling turbulence over sea ice (i.e. the minimum length required to sample the dominant turbulent length scales - the larger the run length the more likely the calculated fluxes are to be influenced by mesoscale circulations and broad changes in surface characteristics, and the fewer data points will be got)

Input Description

None

Output Description

None

Software Reference

None

  • long_name: 10-m neutral drag coefficient
  • names: 10-m neutral drag coefficient
  • long_name: 10-m neutral heat exchange coefficient
  • names: 10-m neutral heat exchange coefficient
  • long_name: 10-m neutral moisture exchange coefficient
  • names: 10-m neutral moisture exchange coefficient
  • long_name: 10-m neutral wind speed
  • names: 10-m neutral wind speed
  • long_name: 10-m wind speed
  • names: 10-m wind speed
  • long_name: 2-m relative humidity
  • names: 2-m relative humidity
  • long_name: 2-m specific humidity
  • names: 2-m specific humidity
  • units: K
  • long_name: 2-m temperature
  • names: K
  • units: hPa
  • long_name: Air pressure
  • names: hPa
  • units: g/kg
  • long_name: Air specific humidity
  • names: g/kg
  • units: K
  • long_name: Air temperature
  • names: K
  • long_name: Brunt Vaisala frequency squared, between sfc and flight level
  • names: Brunt Vaisala frequency squared, between sfc and flight level
  • long_name: Date of start of run
  • names: Date of start of run
  • long_name: Day number of the year
  • names: Day number of the year
  • units: K
  • long_name: Dew point temperature
  • names: K
  • units: kg m-3
  • long_name: Dry air density
  • names: kg m-3
  • units: seconds into day
  • long_name: End time of run
  • names: seconds into day
  • long_name: Equivalent potential temperature
  • names: Equivalent potential temperature
  • long_name: Flight leg flux run number
  • names: Flight leg flux run number
  • long_name: Flight leg number
  • names: Flight leg number
  • units: g kg-1
  • long_name: Friction moisture
  • names: g kg-1
  • units: K
  • long_name: Friction potential temperature
  • names: K
  • units: K
  • long_name: Friction temperature
  • names: K
  • units: m s-1
  • long_name: Friction velocity
  • names: m s-1
  • units: g/cm3
  • long_name: Frozen water content
  • names: g/cm3
  • units: g/g
  • long_name: Frozen water content mixing ratio
  • names: g/g
  • units: m
  • long_name: GPS altitude
  • names: m
  • units: degrees
  • long_name: Heading
  • names: degrees
  • units: m s-1
  • long_name: Horisontal wind speed
  • names: m s-1
  • units: m s-1
  • long_name: Horizontal wind speed from pitot tube
  • names: m s-1
  • units: W m-2
  • long_name: Latent heat flux
  • names: W m-2
  • units: W m-2
  • long_name: Latent heat flux at surface
  • names: W m-2
  • units: degrees
  • long_name: Latitude
  • names: degrees
  • units: km
  • long_name: Length of run
  • names: km
  • units: g/cm3
  • long_name: Liquid water content
  • names: g/cm3
  • units: g/g
  • long_name: Liquid water content mixing ratio
  • names: g/g
  • units: W m-2
  • long_name: Long wave downward component heat flux
  • names: W m-2
  • units: W m-2
  • long_name: Long wave downward component heat flux at surface
  • names: W m-2
  • units: W m-2
  • long_name: Long wave upward component heat flux
  • names: W m-2
  • units: W m-2
  • long_name: Long wave upward component heat flux at surface
  • names: W m-2
  • units: degrees
  • long_name: Longitude
  • names: degrees
  • long_name: Low level cloud cover
  • names: Low level cloud cover
  • units: hPa
  • long_name: Mean sea level pressure
  • names: hPa
  • units: seconds into day
  • long_name: Mean time of flux run
  • names: seconds into day
  • long_name: Mission identifier
  • names: Mission identifier
  • units: kg m-3
  • long_name: Moist air density
  • names: kg m-3
  • units: m
  • long_name: Monin-Obukhov length
  • names: m
  • long_name: Potential temperature
  • names: Potential temperature
  • units: m
  • long_name: Radar altitude
  • names: m
  • units: W m-2
  • long_name: Sensible heat flux
  • names: W m-2
  • units: W m-2
  • long_name: Sensible heat flux at surface
  • names: W m-2
  • units: W m-2
  • long_name: Short wave downward component heat flux
  • names: W m-2
  • units: W m-2
  • long_name: Short wave downward component heat flux at surface
  • names: W m-2
  • units: W m-2
  • long_name: Short wave upward component heat flux
  • names: W m-2
  • units: W m-2
  • long_name: Short wave upward component heat flux at surface
  • names: W m-2
  • units: g/cm3
  • long_name: Small particle content
  • names: g/cm3
  • units: g/g
  • long_name: Small particle content mixing ratio
  • names: g/g
  • long_name: Square of the vertical wind velocity perturbations, AKA the variance of the z wind component
  • names: Square of the vertical wind velocity perturbations, AKA the variance of the z wind component
  • units: seconds into day
  • long_name: Start time of run
  • names: seconds into day
  • units: g kg-1
  • long_name: Surface air specific humidity
  • names: g kg-1
  • units: m
  • long_name: Surface roughness lenght wrt heat
  • names: m
  • units: m
  • long_name: Surface roughness lenght wrt moisture
  • names: m
  • units: m
  • long_name: Surface roughness length
  • names: m
  • units: K
  • long_name: Surface temperature
  • names: K
  • units: K
  • long_name: Surface temperature standard deviation
  • names: K
  • long_name: Total cloud cover
  • names: Total cloud cover
  • long_name: Total column cloud liquid water
  • names: Total column cloud liquid water
  • long_name: Total column water vapour
  • names: Total column water vapour
  • units: W m-2
  • long_name: Turbulent heat flux
  • names: W m-2
  • units: W m-2
  • long_name: Turbulent heat flux at surface
  • names: W m-2
  • units: m-2 s-2
  • long_name: Turbulent kinetic energy
  • names: m-2 s-2
  • units: N m-2
  • long_name: U component of momentum flux
  • names: N m-2
  • units: N m-2
  • long_name: U component of momentum flux at surface
  • names: N m-2
  • units: N m-2
  • long_name: V component of momentum flux
  • names: N m-2
  • units: N m-2
  • long_name: V component of momentum flux at surface
  • names: N m-2
  • units: m s-1
  • long_name: Vertical wind velocity
  • names: m s-1
  • units: deg
  • long_name: Wind direction
  • names: deg
  • units: deg
  • long_name: Wind direction from pitot tube
  • names: deg
  • units: N m-2
  • long_name: Wind stress
  • names: N m-2
  • long_name: albedo
  • names: albedo
  • long_name: albedo std
  • names: albedo std
  • long_name: relative humidity wrt water
  • names: relative humidity wrt water
  • long_name: roughness Reynolds number
  • names: roughness Reynolds number
  • units: m s-1
  • long_name: x wind component
  • names: m s-1
  • units: m s-1
  • long_name: x wind component from pitot tube
  • names: m s-1
  • units: m s-1
  • long_name: y wind component
  • names: m s-1
  • units: m s-1
  • long_name: y wind component from pitot tube
  • names: m s-1

Co-ordinate Variables

Coverage
Temporal Range
Start time:
2018-02-28T00:00:00
End time:
2018-03-19T23:59:59
Geographic Extent

 
72.0000°
 
-25.0000°
 
-9.0000°
 
64.0000°