g-idas richard engelen. the g-idas crew miha angela martin richard antje luke

G-IDAS

Richard Engelen

The G-IDAS crew

Miha

Angela

Martin

Richard

Antje

Luke

Deliverables

Deliverable Description Delivery date Status

D_G-IDAS_1.1 Integrated system based on GEMS

Month 1

D_G-IDAS_1.2 Updated system for reanalysis

Month 12

D_G-IDAS_2.1 NRT global analyses and forecasts

12-hourly from month 1

D_G-IDAS_2.2 Delayed-mode global analyses and forecasts

Monthly from month 7

D_G-IDAS_2.3 Extension of GEMS reanalysis

Month 12

D_G-IDAS_3.1 Web-based information system

Periodic from month 4

D_G-IDAS_3.2 Web based monitoring and validation

Periodic from month 4

D_G-IDAS_3.3 Web-based graphical display and supply of data

Periodic from month 4

Deliverables

Deliverable Description Delivery date Status

D_G-IDAS_1.3 Updated and validated system for G-IDAS_2

Month 18

D_G-IDAS_1.4 Updated system for GAS Month 29

D_G-IDAS_2.1 NRT global analyses and forecasts

12-hourly from month 1

D_G-IDAS_2.2 Delayed-mode global analyses and forecasts

Monthly from month 7

D_G-IDAS_2.4 MACC reanalysis Month 29

D_G-IDAS_3.1 Web-based information system

Periodic from month 4

D_G-IDAS_3.2 Web based monitoring and validation

Periodic from month 4

D_G-IDAS_3.3 Web-based graphical display and supply of data

Periodic from month 4

D_G-IDAS_3.4 Report on validation of pre-operational global service

Month 29

Milestones

Deliverable Description Delivery date Status

M_G-IDAS_1 NRT production Month 1 On time

M_G-IDAS_2 Initial global service provision

Month 4 On time

M_G-IDAS_3 Start of delayed-mode production

Month 7 Slightly delayed

M_G-IDAS_4 Start of MACC reanalysis

Month 13 Started early

M_G-IDAS_5 Upgraded global system

Month 19 On time

M_G-IDAS_6 System ready for GAS Month 29 No GAS yet

NEAR-REAL-TIME

1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 20140

5

10

15

20

25

30

35

40CONV+AMV TOTAL

Nu

mb

er

of

ob

serv

a-

tio

ns

use

d p

er

da

y (

mil-

lion

s)

1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

Megha TropiquesSentinel 3GOSATADM AeolusEarthCARESMOSTERRA/AQUA AMVGMS/MTSAT RadGOES RadMETEOSAT RadFY-2C/D AMVGMS/MTSAT AMVGOES AMVHY-2AMETEOSAT AMVOceansatJASON-1/2/3QuikSCATFY-3A/BAURAAQUATRMMGCOM-W/CCHAMP/GRACETERRASAR-X/SAC-CCOSMICENVISATERS-1/2METOPDMSPNOAA

60

50

40

30

20

10

0

Meteorological observations

Atmospheric Composition

Planned → passive → active

passiveactive

From planned to active for MOPITT CO observations

The global system produces daily plots of observation-model difference statistics

Time series and geographical plots are generated to monitor the input data, but also to provide feedback to data providers.

Atmospheric Composition

Instrument Satellite Satellite

operator Data provider Species Status

MODIS Terra NASA NASA/NOAA Aerosol, fires Active

MODIS Aqua NASA NASA/NOAA Aerosol, fires Active

SEVIRI Meteosat-9 EUMETSAT IM Fires Active

Imager GOES-11, 12 NOAA NOAA Fires Passive

Imager MTSAT-2 JMA JMA Fires Planned

MLS Aura NASA NASA O3 Active

OMI Aura NASA NASA O3 Active

SBUV-2 NOAA-17,18,19 NOAA NOAA O3 Active

SCIAMACHY Envisat ESA KNMI O3 Active

GOME-2 Metop-A EUMETSAT DLR O3 Passive

SEVIRI Meteosat-9 EUMETSAT EUMETSAT O3 Passive

MIPAS Envisat ESA O3 Active

IASI Metop-A EUMETSAT LATMOS CO Active

MOPITT Terra NASA NCAR CO Active

GOME-2 Metop-A EUMETSAT DLR NO2 Passive

OMI Aura NASA KNMI NO2 Active

OMI Aura NASA KNMI SO2 Active

SCIAMACHY Envisat ESA BIRA-IASB SO2 Passive

GOME-2 Metop-A EUMETSAT DLR SO2 Passive

GOME-2 Metop-A EUMETSAT DLR HCHO Planned

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

RAQBoundary condition server

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

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.

SCIAMACHYIASIGOSAT

CH4 assimilation in delayed-mode run

REANALYSIS

Reanalysis

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.

GLOBAL SERVICES

Web site

Web server distributed over MACC partners. Thousands of plots are generated each day.

Web site use 2011

Monitoring/verification

Input data is monitored and output data is continuously checked against independent observations.

GDA

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

IFSC-IFS

GLOMAP

C-TesselAdditional satellite

observations

Ground-based data

Better integration with NWP

Exciting improvements

18120600

18 00 UTC

ENS FC @ 00UTC for 96h (4 days)

21 0903 15 21

Global assimilation window

Global FC @ 00UTC for 120h (5 days)

Global DA/FC

Global data acquisition

MACC-II NRT assimilation and forecasting chain

Analysis

Clock time

Model time

22 07

ENS FC

Delayed-mode system

Data Assimilation

Flux inversion

Forward run

Satellite data

In-situ data

Improved prior

fluxes

Optimized fluxes

Boundary conditions

Optimized CO2 flux run

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.