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BRAM release 2 (BRAM-2) is available for download since September 18, 2018. This new release benefited on several updates in the BASCOE system: improved PSC scheme, improved solar spectral irradiance datasets, improved EnKF, no more missing outputs (hopefully)...
The significant differences between BRAM-1 and 2 are:
- BRAM-2 improves HCl and ClO in polar winter, above 30 hPa due to updated setting for aerosols and PSC parameterization.
- BRAM-2 provides the std dev of the ensemble as an estimation of the analysis uncertainties (not provided in BRAM-1 because not properly saved during BRAM-1 production).
- BRAM-2 extended for 2017
More details on the differences between BRAM-1 and 2 are reported here.
Several presentations and posters have discussed BRAM-1 and most of their conclusions remain valid for BRAM-2:
Validation plots for O3
Validation plots for H2O
Validation plots for N2O
Validation plots for HNO3
Validation plots for HCl
Validation plots for ClO
Validation plots for CH3Cl
Validation plots for CO
BASCOE Reanalysis of Aura MLS, 2nd Release (BRAM-2), AGU Fall Meeting, 10-14 December 2018. Download,
BASCOE Reanalysis of Aura MLS, 2nd Release (BRAM-2), SPARC General Assembly, Kyoto, Japan, 1-5 October 2018. Download,
Currently, the only available documentation on BRAM is provided by Errera et al., PICO presentation given at EGU, 2017, that can be downloaded here.
Also provided on the FTP site, validation plots based on the Forecast-minus-Observations (F-O) given for different seasons and years, for all BRAM assimilated species using observations from MLS, ACEFTS, MIPAS (IMK retrieval) and O3_CCI L2 HARMOZ profiles. An example of these plots is given here. It presents the (F-O) statistics for water vapor (H2O) for the season June-July-August (JJA) and for each year of BRAM (2005-2016) (one line per year). Each column presents statistics for a different latitude band going from south (left) to north(right). Rows 1 and 3 displays the mean(BRAM-MLS) in % and in ppmv, respectively. Rows 2 and 4 displays the StdDev(BRAM-MLS) in % and in ppmv, respectively. Row 5 shows the mean MLS profiles. Also shown, in black, the instrument error budget (accuracy and precision) in their native units (only available for BRAM-MLS). The MLS accuracy is compared to the mean(BRAM-MLS) while the MLS precision is compared to the StdDev(BRAM-MLS). Since, for H2O, MLS error budget is given in %, it is only displayed for statistical plots given in %.