MOYA: In flight Methane samples, Llanos de Moxos, Bolivia 2019 with supporting GEOS-Chem and NAME model output
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.
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|Previously used record identifiers:||
No related previous identifiers.
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 were collected locally and sent to RHUL for analysis and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.
Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA).
Data are BADC-CSV and NetCDF formatted.
|Royal Holloway Greenhouse Gas Laboratory|
|RHUL-continuous-flow gas chromatography/isotope-ratio mass spectrometry (CF-GC/IRMS) system|
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|
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°.|