作者: Saroja M. Polavarapu , Feng Deng , Brendan Byrne , Dylan B. A. Jones , Michael Neish
DOI: 10.5194/ACP-18-12011-2018
关键词:
摘要: Abstract. Posterior fluxes obtained from inverse modelling are difficult to verify because there is no dense network of flux measurements available evaluate estimates against. Here we present a new diagnostic structures in posterior fluxes. First, simulate the change atmospheric CO2 fields between and prior fluxes, referred as adjustments due updated (PAAFs). Second, calculate uncertainty solely meteorological fields, imperfect meteorology (PAAMs). We argue that PAAF can only be considered robust if it exceeds PAAM, is, changes should at least exceed arising meteorology. This applied two inversions: one which assimilates observations in situ other Greenhouse Gases Observing SATellite (GOSAT). On global scale, troposphere reflects northern extratropical whereas stratospheric primarily reflect tropical In general, larger spatiotemporal variations for GOSAT inversion than inversion. Zonal standard deviations PAAM through most year when used, but minimum value exceeded boreal summer used. spatial GOSAT-based throughout tropics extratropics, suggesting inversions constrain zonal asymmetries However, cannot discount possibility these influenced by biases retrievals. Verification such will require independent observations. Because depends on choice comparison with system dependent thus used monitor given assimilation system's behaviour.