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G-IDAS. Richard Engelen. The G-IDAS crew. Antje. Miha. Richard. Martin. Angela. Luke. Deliverables. Deliverables. Milestones. Near-real-time. Meteorological observations. 60 50 40 30 20 10 0. Atmospheric Composition. Planned → passive → active.
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G-IDAS Richard Engelen
The G-IDAS crew Antje Miha Richard Martin Angela Luke
Meteorological observations 60 50 40 30 20 10 0
Planned → passive → active The global system produces daily plots of observation-model difference statistics passive active Time series and geographical plots are generated to monitor the input data, but also to provide feedback to data providers. From planned to active for MOPITT CO observations
NRT production MACC has continuously delivered daily near-real-time analyses and forecasts. Significant MACC developments are in place for first MACC-II upgrade.
Use of global NRT production Boundary condition server RAQ WMO SDS-WAS
Developments • Dual-mode aerosol • Capability to assimilate CALIPSO aerosol lidar data • Changes in ozone bias correction (MLS added as anchor) • Combined assimilation of IASI and MOPITT CO • Assimilation of OMI SO2 to detect volcanic ash plumes Dual-mode aerosol Aerosol lidar data
Delayed Mode The aim and challenge of the delayed-mode run is to provide optimal analyzed fields to be used in flux inversions or as boundary conditions for regional studies. A secondary aim is to support development of new retrievals of CH4 and CO2.
Delayed-mode CO2 CH4 A significant amount of the synoptic variability of the greenhouse gases is driven by the meteorology. However, the surface fluxes drive the signature of low and high concentrations.
CH4 assimilation in delayed-mode run GOSAT IASI SCIAMACHY
Reanalysis • 2003 – 2010 • T255L60 = 80 km on 60 levels • Coupled to MOZART chemical transport model • Aerosols, reactive gases, and greenhouse gases on top of meteorology • New emissions (anthropogenic, fires, lightning) • Use of Variational Bias Correction (VarBC)
Global data server users Reanalysis data has been downloaded by users around the world.
State of the Climate Total AOD anomaly 2011 AOD anomaly for biomass burning SON 2011 The aerosol reanalysis has earned its place in the State of the Climate of the American Meteorological Society
Volcanic SO2 Significant progress has been made in the simulation and data assimilation of volcanic ash plumes. The AOD anomaly is complemented by a SO2 plume through the assimilation of OMI data.
Volcanic SO2 The assimilation of OMI SO2 data produces a plume that is confirmed by the IASI SO2 detection.
Web site Web server distributed over MACC partners. Thousands of plots are generated each day.
Monitoring/verification Input data is monitored and output data is continuously checked against independent observations.
Changes compared to G-IDAS • More interaction between GDA and other sub-projects. ECMWF personnel will work on GDA and the sub-project of their specialization • Stronger focus on data acquisition, data dissemination, meta data development, web, … • Put procedures in place for running a reliable operational global service
Plans • GDA.1: Coordination • Coordination of GDA work • Coordination of interaction with other sub-projects • Coordination of interaction with ECMWF developments • GDA.2: Integration of new developments • Model and data assimilation developments • Integrated global analysis and forecasting system • Adaptation to new input data streams • Adaptation to new output data streams • Interaction with external GMES-related research developments
Plans • GDA.3: Global production • Near-real-time production • Delayed-mode production • Reanalyses for atmospheric composition • Support for science community and space agencies • GDA.4: Global services • Monitoring and verification • Product display, supply, and general web services • User support
MACC-II NRT assimilation and forecasting chain ENS FC 22 07 Global DA/FC Clock time Global data acquisition 06 18 12 18 00 UTC 21 03 09 15 21 00 Global assimilation window ENS FC @ 00UTC for 96h (4 days) Global FC @ 00UTC for 120h (5 days) Analysis Model time
Delayed-mode system Improved prior fluxes Satellite data Data Assimilation In-situ data Flux inversion Optimized fluxes Forward run Boundary conditions
Reanalysis • Continuation of MACC reanalysis for 2011 and 2012 • Focused short reanalyses using new ESA-CCI data sets • Interact with ECMWF Reanalysis group on future developments
Web and data services • Redesign of web site • User-friendly interface for data • Operational data streams on ftp More routine monitoring and verification plots available for users and validation groups.