The SINERGEE project exploits data from the Meteosat-8 geostationary satellite and simulations from the Met Office weather forecast model in studies involving data validation, model evaluation and to explore radiative processes. Initially comparisons of broadband radiative fluxes between the Geostationary Earth Radiation Budget instrument (GERB) and the Met Office forecast model are undertaken. It is planned to combine the GERB data with Spinning Enhanced Visible and Infra-Red Imaged (SEVIRI) products. Here is the latest SINERGEE comparison for 1200 UTC.
If Radagast data miner dies...
ssh -l radagast radagast.nerc-essc.ac.uk
ps -aef | grep sentinel
will show if the job is running or not. To re-acdtivate, type:
g_sentinel a g
Also look in $LOGS for a lock file; this should be here otherwise the job will kill itself.(gentinel_loop_xxxx). To stop cleanly, type:
gentoff
GLOBAL: 00 | 06 | 12 | 18 | ocean: 00 | 06 | 12 | 18 | land: 00 | 06 | 12 | 18 | Clear-sky ocean:12| Clear-sky land: 12| TROPICS: 00 | 06 | 12 | 18 | ocean: 00 | 06 | 12 | 18 | land: 00 | 06 | 12 | 18 | N.HEMIS: 00 | 06 | 12 | 18 | ocean: 00 | 06 | 12 | 18 | land: 00 | 06 | 12 | 18 | Clear-sky N.ATLANTIC ocean: 12 | 18 | S. HEMIS: 00 | 06 | 12 | 18 | ocean: 00 | 06 | 12 | 18 | land: 00 | 06 | 12 | 18 | Clear-sky S.ATLANTIC ocean: 12 | 18 | SUB SAT: 00 | 06 | 12 | 18 | ocean: 00 | 06 | 12 | 18 | land: 00 | 06 | 12 | 18 | W.SAHARA: 00 | 06 | 12 | 18 | Clear-sky :12
CLEAR-SKY MEDITERRANEAN ocean
06 |
12 |
CLEAR-SKY N. AFRICA land
06 |
12
CLOUD:
Model OLR errors due to Cirrus Outflow (see also MODIS cirrus) and Albedo errors relating to Stratocumulus
18 Jan Model Changes:
12z 17th Jan | 18th Jan. | Mean differences (postscript | OLR | Albedo | OLR differences (more) |
same analysis, new physics minus old for 2 timesteps(no green)(.ps.gz) |
Sahara clear-sky Albedo and clear-sky OLR differences 1200 UTC and 0600 UTC
CERES Comparisons (July 2004):
means and differences.
July 2004 local time mean GERB animation: colour | greyscale (2.6 MB) (or try these: colour | greyscale [7.6 MB]) | July 2003 18z ARG (3.6 Mb) | July 2003 ARG (14.5 Mb)
Milton, S. F., G. Greed, M. A. Brooks, J. M. Haywood, B. Johnson, Allan, R. P. and A. Slingo, (2007), Modelled and observed atmospheric radiation balance during the West African dry season - the role of mineral dust, biomass burning and surface albedo, J. Geophys. Res., accepted
Allan, R. P., A. Slingo, S.F. Milton and M.A. Brooks (2007), Evaluation of the Met Office global forecast model using Geostationary Earth Radition Budget (GERB) data, Q. J. Roy. Meteorol. Soc., 133, 1993-2010 (PDF)
Comer, R.E., A. Slingo, R.P. Allan (2007),Observations of the diurnal cycle of outgoing longwave radiation from the Geostationary Earth Radiation Budget instrument, Geophys. Res. Lett., 34, L02823, doi:10.1029/2006GL028229. PDF Version
Slingo, A., T. P. Ackerman, R. P. Allan, E. I. Kassianov, S. A. McFarlane, G. J. Robinson, J. C. Barnard, M. A. Miller, J. E. Harries, J. E. Russell, and S. Dewitte (2006), Observations of the impact of a major Saharan dust storm on the Earth's radiation balance, Geophys. Res. Lett., 33, L24817, doi:10.1029/2006GL027869. PDF Version
Allan, R. P., A. Slingo, S.F. Milton and M.E. Brooks (2006), Exploitation of Geostationary Earth Radiation Budget (GERB) data from 2003-2006 in the evaluation of the Met Office global NWP model, EUMETSAT P.48, Proceedings of the EUMETSAT Meteorological Satellites Conference, Helsinki, Finland Word document | PDF
Comer, R. E., A. Slingo, R. P. Allan, (2006), The diurnal cycle observed by Meteosat-8 and simulated by a climate model, EUMETSAT P.48, Proceedings of the EUMETSAT Meteorological Satellites Conference, Helsinki, Finland PDF
Allan, R. P. (2006), using satellite observations and reanalyses to evaluate climate and weather forecast models, in Current Problems in Atmospheric Radiation (Eds. H. Fischer and B.-J. Sohn), Proceedings of the International Radiation Symposium, 23-28 August 2004, Busan, Korea p.451-454.. PDF document
Allan, R. P., A. Slingo, S.F. Milton I. Culverwell, Exploitation of Geostationary Earth Radition Budget data using simulations from a numerical weather prediction model: Methodology and data validation, J. Geophys. Res., 110, D14111, 10.1029/2004JD005698, 2005. (PDF)
Harries, J. E. and coauthors (including A. Slingo and R. P. Allan), The Geostationary Earth Radiation Budget (GERB) Experiment, Bull. Amer. Meteorol. Soc., 86, 945-960, 2005. (PDF)
Haywood, J. M., R. P. Allan, I. Culverwell, A. Slingo, S. Milton, J. M. Edwards and N. Clerbaux, Can desert dust explain the outgoing longwave radiation anomaly over the Sahara during July 2003? J. Geophys. Res., 110, D05105, doi:10.1029/2004JD005232, 2005. (PDF)
Milton, S. F., M. Brooks, A. Lock, E. Whelan, D. Wilson and R. P. Allan, 2005,
HadGEM1 Physics for the Global NWP Model (Cycle G34): Improvements to Boundary Layer, Large Scale Precipitation, Convection and Saharan Albedo, 2005
NWP Technical report
458, pp. 39 (PDF version)
Haywood, J. M., R. P. Allan, I. Culverwell, A. Slingo, S. Milton, J. Edwards, 2004,
Can desert dust explain the anomalous greenhouse effect observed over the Sahara during July 2003 revealed by GERB/UM intercomparisons,
MRF Technical note
49 pp. 32.
PDF document
Allan, R. P., A. Slingo, S. Milton and I. Culverwell,
SINERGEE: simulation and exploitation of data from Meteosat-8 using an NWP model,
EUMETSAT Meteorological Satellites Conference, Prague, Czech Republic, p. 122-130, 2004
PDF document
Russell, J. E., J. M. Futyan, R. P. Allan, J.
E. Harries, A. Slingo, S. Dewitte and N. Clerbaux,
Strategies for determining clear-sky fluxes from GERB data,
EUMETSAT Meteorological Satellites Conference, Prague, Czech Republic,p. 490-497, 2004
PDF document
Russell, J. E., J. E. Harries, J. Hanafin, H. Brindley, J. M. Futyan, R. P. Allan, A. Slingo, and M. A. Ringer,
The Geostationary Earth Radiation Budget (GERB) experiment: science and applications,
EUMETSAT Meteorological Satellites Conference, Weimar, Germany, 2003
PDF document
1) Data from the GERB instrument is retrieved at the GGSPS at RAL and transfered to RMIB for processing
SINERGEE PROCESS
2) Using SEVIRI imager data (or Meteosat data before SEVIRI data is available) processing of the GERB radiances is undertaken: Using BRDFs, radiative fluxes are calculated from the radiances.
3) Hook jobs are initiated at the Met Office to calculate diagnostics from the forecast analysis for comparison with the RMIB GERB data and eventually the SEVIRI radiances.
4) GERB data and Met Office data are retrieved by ftp and transferred to ESSC.
5) GERB data is regridded to allow comparison with the Met Office products.
6) Comparison of GERB and Met Office model radiative fluxes are undertaken. (Use of SEVIRI data will eventually be an important part of these comparisons).
7) Information on the health of the satellite instruments and the skill of the Met Office model will be fed back through the appropriate channels.
8) As the project progresses, more substantial evaluation of the model and the present day climate can be undertaken.
GERB products are available via the RMIB website (or at ftp://gerb.oma.be).