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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.

BRAM-2 dataset is available to download on the protected FTP server of BIRA-IASB. Please, contact This email address is being protected from spambots. You need JavaScript enabled to view it. to get login and password. Note that BRAM-1 is no more available on the FTP server.

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

 

2018

Q. Errera, G. Braathen, S. Chabrillat, Y. Christophe, J. Debosscher, D. Minganti, M. Santee, and S. SkachkoBASCOE Reanalysis of Aura MLS, 2nd Release (BRAM-2), AGU Fall Meeting, 10-14 December 2018. Download

Q. Errera, G. Braathen, S. Chabrillat, Y. Christophe, J. Debosscher, M. Santee, and S. SkachkoBASCOE Reanalysis of Aura MLS, 2nd Release (BRAM-2), SPARC General Assembly, Kyoto, Japan, 1-5 October 2018. Download

Q. Errera, G. Braathen, S. Chabrillat, Y. Christophe, J. Debosscher, M. Santee, and S. Skachko, BASCOE Reanalysis of Aura MLS (BRAM) with a focus on stratospheric polar winter conditions, EGU2018-15484 | Posters | AS3.23. Download

Q. Errera, S. Chabrillat, Y. Christophe, J. Debosscher, M. Santee, and S. Skachko,, BASCOE Reanalysis of Aura MLS (BRAM) with a focus on water vapour analyses, EGU2018-15176 | Posters | AS1.32. Download

J. Debosscher, C. Lerot, M. Van Roozendael, and Q. Errera, Sampling error estimation in monthly mean SCIAMACHY datasets using a data assimilation system, EGU2018-16571 | Posters | AS3.24/CL2.07. Download


 

BRAM R1 dataset is available to download on the protected FTP server of BIRA-IASB. Please, contact This email address is being protected from spambots. You need JavaScript enabled to view it. to get login and password to access to the FTP server.

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 %.