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Dataset

 

MOYA: In flight Methane samples, Llanos de Moxos, Bolivia 2019 with supporting GEOS-Chem and NAME model output

Update Frequency: Not Planned
Latest Data Update: 2022-07-15
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2022-07-26
Download Stats: last 12 months
Dataset Size: 8 Files | 355MB
Abstract

This dataset contains isotopic sampling of methane taken on board the British Antarctic Survey (BAS) twin-otter aircraft during a flight campaign over the Llanos de Moxos wetland near Trinidad, Bolivia in 2019 and supporting model simulations for the Methane Observations and Yearly Assessments (MOYA) project. Air samples were collected in tedlar bags during flights over the region and subsequently analysed at the Greenhouse Gas Laboratory, Royal Holloway University (RHUL). These are supported with data from a nested GEOS-Chem model simulation at 0.25° x 0.3125° which was used to map the relationship between emissions and aircraft measurements in a regional domain bounded by 24 - 0 °S and 75 – 55 °W. In addition, a footprint of the air source was simulated for each minute of aircraft sampling to capture using the Met Office NAME model at of 0.14° × 0.09° and temporal resolution of 3 hourly.

Citable as:  Greenhouse Gas Laboratory, Royal Holloway University; Lowry, D.; Fisher, R.; Nisbet, E.; France, J.; Ganesan, A.; Lunt, M. (2022): MOYA: In flight Methane samples, Llanos de Moxos, Bolivia 2019 with supporting GEOS-Chem and NAME model output. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/26b934d2731944dd945bc05406e40bee
Abbreviation: Not defined
Keywords: Methane, NAME, GEOS-Chem, aircraft

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 locally and sent to RHUL for analysis and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.
Data Quality:
Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA).
File Format:
Data are BADC-CSV and NetCDF formatted.

Related Documents

 Royal Holloway Greenhouse Gas Laboratory

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Computation Element: 1

Title NAME Model computation for MOYA Bolivia BAS Twin Otter flights with modelling
Abstract NAME model simulation which ran using the Met Office NAME model at of 0.14° × 0.09° and temporal resolution of 3 hourly. A footprint was simulated for each minute of aircraft sampling to capture the Llanos de Moxos wetlands in Bolivia 2019-03-08 to 2019-03-09 The NAME model inversion was carried out using footprints simulated from the NAME Lagrangian particle dispersion model and a hierarchical Bayesian Markov chain Monte Carlo (MCMC) framework
Input Description None
Output Description None
Software Reference None

Computation Element: 2

Title GEOSChem model simulation for MOYA BAS flights in Bolivia
Abstract A nested GEOS-Chem simulation for the MOYA Bolivia flights 2019-03-08 to 2019-03-09. The GEOS-Chem inverse modeling methodology followed a Bayesian synthesis inversion framework (4). The state vector included 100 elements, 99 corresponding to emissions and one describing the baseline mole fraction. Measurements were averaged into 1-minute means. Model-measurement uncertainties included the standard deviation of measurements with in each one-minute period and a fixed 8 ppb model uncertainty. A flat prior emissions distribution was used within the Llanos de Moxos basin with emissions of 48 mg CH4/m2/day. A nested GEOS-Chem simulation at 0.25° x 0.3125° was used to map the relationship between emissions and aircraft measurements in a regional domain bounded by 24 - 0 °S and 75 – 55 °W. Initial boundary conditions for the nested domain were created by a global GEOS-Chem simulation at 2° x 2.5°.
Input Description None
Output Description None
Software Reference None
Output Description

None
  • units: m s-1
  • var_id: U
  • long_name: Eastward component of wind
  • units:
  • var_id: particle_locations_e
  • long_name: Fraction of total particles leaving domain (E side)
  • units:
  • var_id: particle_locations_n
  • long_name: Fraction of total particles leaving domain (N side)
  • units:
  • var_id: particle_locations_s
  • long_name: Fraction of total particles leaving domain (S side)
  • units:
  • var_id: particle_locations_w
  • long_name: Fraction of total particles leaving domain (W side)
  • var_id: mean_age_particles_e
  • long_name: Mean age of particles leaving domain (E side)
  • units: hrs
  • units: hrs
  • var_id: mean_age_particles_n
  • long_name: Mean age of particles leaving domain (N side)
  • units: hrs
  • var_id: mean_age_particles_s
  • long_name: Mean age of particles leaving domain (S side)
  • units: hrs
  • var_id: mean_age_particles_w
  • long_name: Mean age of particles leaving domain (W side)
  • units: m s-1
  • var_id: V
  • long_name: Northward component of wind
  • units: m
  • var_id: PBLH
  • units: m
  • var_id: PBLH
  • long_name: Planetary boundary layer height above surface
  • var_id: fp
  • units: (mol/mol)/(mol/m2/s)
  • var_id: height
  • var_id: lat
  • units: Degrees_north
  • units: degrees_north
  • long_name: latitude
  • var_id: lat
  • var_id: lev
  • var_id: lon
  • units: Degrees_east
  • units: degrees_east
  • long_name: longitude
  • var_id: lon
  • units: hPa
  • var_id: pressure
  • units: Degrees_north
  • var_id: release_lat
  • units: Degrees_east
  • var_id: release_lon
  • units: K
  • var_id: temperature
  • units: degrees
  • var_id: wind_direction
  • var_id: wind_speed
  • units: m/s

Co-ordinate Variables

  • long_name: time
  • standard_name: time
  • var_id: time
  • units: seconds
Coverage
Temporal Range
Start time:
2019-03-08T00:00:00
End time:
2019-03-09T23:59:59
Geographic Extent

 
-12.8100°
  
-66.3700°
  
-64.9800°
 
-14.7700°
  
Related parties
Authors (7)
Publishers (1)
Funders (1)
Principal Investigators (1)