European Space Agency ESA UNCLASSIFIED – For Official Use page 1 ADM-Aeolus and EarthCARE ESA’s Earth Observation Lidar Missions T. Wehr, P. Ingmann, A.G. Straume, A. Elfving, M. Eisinger, D. Lajas, A. Lefebvre, T. Fehr European Space Agency Second GALION Workshop WMO Headquarters, Geneva, Switzerland 20-23 September 2010
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European Space Agency ESA UNCLASSIFIED – For Official Use page 1 ADM-Aeolus and EarthCARE ESA’s Earth Observation Lidar Missions T. Wehr, P. Ingmann, A.G.
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European Space AgencyESA UNCLASSIFIED – For Official Use page 1
ADM-Aeolus and EarthCAREESA’s Earth Observation Lidar Missions
T. Wehr, P. Ingmann, A.G. Straume, A. Elfving, M. Eisinger, D. Lajas, A. Lefebvre, T. Fehr
European Space Agency
Second GALION Workshop
WMO Headquarters, Geneva, Switzerland
20-23 September 2010
European Space AgencyESA UNCLASSIFIED – For Official Use page 2
ADM-Aeolus: The Atmospheric Dynamics MissionAeolus
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WHICH INFORMATION IS NEEDED BY GENERAL CIRCULATION MODELS (GCMS)?
• When mass and wind fields are in approximate geostrophic balance, winds can be determined from temperature observations:– In the extra-tropics for large horizontal scales and for
shallow structures
• When geostrophic balance is not met, direct wind measurements are needed:– In the tropics – Globally for structures on small horizontal scales (e.g.
around topography) and for deep vertical structures
Need for independent wind profile observations
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(ALADIN)(= height)
AEOLUS MEASUREMENT CONCEPT
Wind and atmospheric optical properties profile measurements are derived from the Doppler shifted signals that are back-scattered by aerosols and molecules along the lidar line-of-sight (LOS)
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UV lidar (355 nm , circularly polarized)
Separate molecular and a particle backscatter receivers (High Spectral Resolution)
Line-of-sight points 35 deg from nadir and orthogonally to velocity direction to minimize contribution from satellite velocity
No polarization measurements
Adjustable vertical sampling of atmospheric layers with thicknesses from 0.25 – 2 km
Baseline change autumn 2010: Change from burst-to continuous mode operation.
Example of Aeolus vertical sampling
MEASUREMENT BASELINE
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ATMOSPHERIC PRODUCTS
• Primary (L2b) product:– Horizontally projected LOS wind profiles
• Approximately zonal at dawn/dusk• 50 km averaged observations, 150 km spacing*• From surface to ~30 km• 24 vertical layers per channel with thicknesses
from 0.25 to 2 km • Accuracies: 2 (PBL), 2-3 (Trop), 3-5 (Strat) m/s
*Baseline change in 2010 will lead to longer observation lengths and removal (minimizing) of observation spacing
• Spin-off (L2a) products:– Aerosol and cloud profiles, e.g.
, σ, OD • cloud cover/stratification, cloud top heights, cloud type• aerosol stratification, aerosol type
Dusk/dawn orbit
CourtesyN. Žagar
Descending equatorialcrossing time: 6 AM
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AEOLUS CLOUD AND AEROSOL PRODUCTS
• Direct and indirect effect of aerosols partly compensate for global warming by greenhouse gases– Large uncertainties– Observations of aerosol properties are needed
• ADM-Aeolus data on clouds and aerosol layers could be used directly by scientists for research on Atmospheric radiative budget and Water cycle applications
• ADM-Aeolus data could be combined with contemporary data available from operational space based visible and infrared radiometers in order to derive higher level data products on clouds and aerosols
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• Main impact areas, as estimated by a Data Assimilation Ensemble at ECMWF:
– Jet streams over the oceans
– Above the oceans in the lower troposphere, e.g. western parts of the North Pacific and North Atlantic oceans, provided large enough cloud gaps
– Tropics
IMPACT OF SIMULATED AEOLUS WIND MEASRUREMENTS IN NWP
Courtesy D. Tan, ECMWF
Example of Aeolus wind profile impact in terms of 200 hPa (upper troposphere) zonal wind components (m/s)
Negative values: small ensemble spread -> positive observation impact
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DLR Falcon 20 and HALO (High Altitude and Long Range Research Aircraft, modified Gulfstream G550) in April 2006
DLR further supports ADM-Aeolus activities in 2010 with
3 ground-based campaigns with the A2D, other lidars, windprofiler radar and radiosonde at DWD Lindenberg
2 airborne campaigns with Falcon or HALO aircraft with A2D and 2-µm wind lidar, co-located ground-based soundings
HALO aircraft delivered to DLR in November 2008www.halo.dlr.de
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ADM-AEOLUS CAMPAIGN ACTIVITIES
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CAL/VAL ACTIVITIES
• Call for Announcement of Opportunities (AOs) on Aeolus calibration and validation during its commissioning phase was issued 2007
• Areas covered by accepted projects (in total 16):– Validation using ground-based, airborne and satellite experiments,
providing independent measurements of wind profiles, clouds and aerosols;
– Experiments to assess accuracy, resolution, and stability of the Aeolus laser instrument ALADIN;
– Assessment and validation of the Aeolus retrieval and processing
• Due to launch delay, a Delta CAL/VAL call is planned for early 2011
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STATUS OF THE AEOLUS PROGRAM
• The satellite and laser (ALADIN) subsystems have all been delivered and qualified on subsystem level
• Structural and thermal qualification on platform (Aeolus) level has been performed with a Structure-Thermal Model
• The transmitter laser is the most challenging for the qualification– The laser diode stacks have successfully completed their
qualification testing
– Amplifiers have successfully passed the first stability tests
– All optical components of the transmitter laser and optical path have been qualified for the high intensities over the 3-year lifetime
• Thermal vacuum qualification of the Power Laser Head is on-going
• Scheduled launch: 2013
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Using DLR campaign data, such as SAMUM I & II and Eyjafjallajökull surveillance flights,
for the development and testing of geophysical retrieval algorithms for potential future multi-wavelength HSR lidars.
Integration as module into EarthCARE Simulator (ECSIM)
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The four instruments on board EarthCARE together:(CPR: Cloud Profiling Doppler Radar ATLID: Lidar MSI: Imager BBR: Broad-band Radiometer)Algorithms for these active sensors yield vertical profiles of microphysical parameters of cloud with its phase and aerosol with its species, and can detect drizzle and light rain.Especially doppler velocities of particles can be retrieved to give us new information.
Parameters: verticalcloud, aerosol,
drizzle, vertical motionfrom active sensors
Parameters: verticalcloud, aerosol,
drizzle, vertical motionfrom active sensors
Parameters: horizontalcloud, aerosol
from MSI
Parameters: horizontalcloud, aerosol
from MSI
Parameters: 3Dcloud, aerosol
Parameters: 3Dcloud, aerosol
collaboration with Model
Model Use:assimilationvalidation
Model Use:assimilationvalidation
Model Improvement:Cloud-Aerosolinteraction
Model Improvement:Cloud-Aerosolinteraction
Scene Generator&
Signal Simulator
Scene Generator&
Signal Simulator
Radiatve Transfer&
3D Montecarlo
Radiatve Transfer&
3D Montecarlo
Cloud SchemeImprovementCloud SchemeImprovement
Radiative Flux:BBR Data
Radiative Flux:BBR Data
Radiative Transfer CalculationVS.
BBR data (True)
Eart
hCAR
E
Algorithm development
IPCC
SCIENCE DERIVED FROM EARTHCARE
in cooperation with
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Backup slides
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MISSION IMPLEMENTATION
Baseline Technology
• Direct detection UV lidar (355 nm) with Mie and Rayleigh receivers
• Mie and Rayleigh receivers can sample the atmosphere with different altitude steps
• The line-of-sight is pointing 35 deg from nadir orthogonal to the ground track velocity vector to minimize the Doppler contribution from satellite velocity
[H]LOS
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MORE RECENT SCIENTIFIC STUDIES
• The yield, accuracy and impact of simulated Aeolus data in an operational NWP set-up. Used an ensemble method (ECMWF)
• Impact of Aeolus and alternative Aeolus sampling scenarios on predictive skills of Mid-latitudes high-impact weather systems (PIEW, KNMI)
• Impact of the PIEW Aeolus sampling scenarios for the modelling of Tropical dynamics (Univ Ljubljana with KNMI, MISU for EUMETSAT)
• Possible contribution to long-term database of cloud and aerosol optical properties; CALIPSO – Aeolus – EarthCARE (IfT and CNR-IMAA)
• The impact of Rayleigh-Brillouin scattering on the lidar atmospheric backscattered signal (Univ Amsterdam with Nijmegen, Eindhoven)
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FURTHER PRE-LAUNCH ACTIVITIES
– Data processing: from Level 0 (raw data), Level 1B (calibrated wind profiles), Level 2A (cloud and aerosol products), Level 2B (scene classified temperature and pressure corrected wind profiles), to Level 2c (assimilated wind products)
– Pre-launch campaigns
– Vertical sampling strategy for various data applications (e.g. NWP vs. Stratospheric research)
– The influence of Rayleigh-Brillouin scattering on lidar backscatter: Controlled laboratory experiments for the validation of the Tenti S6 model for air, for a set of representative T and p
– Preparation of post-launch calibration and validation (CAL/VAL) activities
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AEOLUS PRE-LAUNCH CAMPAIGNS BY DLR
1st and 2nd October 2006 and July 2007 with ALADIN airborne demonstrator (A2D)
1st airborne November 2007- Target area: Middle Europe and Mediterranean Sea- Flights: 5 flights during 15 days with Falcon aircraft- Payload: A2D and 2-µm wind lidar and flights over ground stations
2nd airborne December 2008- Target area: Middle Europe and ocean- Flights: 7 flights during 11 days with Falcon aircraft- Payload: A2D and 2-µm wind lidar and flights over ground stations
3rd airborne September 2009- Target area: North-West Atlantic - Flights: 4-5 flights during 18 days with Falcon aircraft- Payload: A2D and 2-µm wind lidar