{"ob_id":37757,"computationComponent":[{"ob_id":37755,"uuid":"d015125d92c14211a83804cbf48738d9","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\r\nThe 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","keywords":"","inputDescription":null,"outputDescription":null,"softwareReference":null,"identifier_set":[]},{"ob_id":37756,"uuid":"f29a2dce4ec74723a75c85220f98c6cc","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.\r\n\r\nThe 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°.","keywords":"","inputDescription":null,"outputDescription":null,"softwareReference":null,"identifier_set":[]}],"acquisitionComponent":[{"ob_id":37754,"independentInstrument":[13716],"instrumentplatformpair_set":[]}],"identifier_set":[],"responsiblepartyinfo_set":["https://catalogue.ceda.ac.uk/api/v2/rpis/180164/?format=json"]}