Sentinel 5 Precursor: German and Belgian Contribution to the Operational L2 Products

Transcription

1 Sentinel 5 Precursor: German and Belgian Contribution to the Operational L2 Products D. Loyola M. Van Roozendael A. Richter T. Wagner A. Doicu J. van Gent M. Buchwitz S. Beirle N. Hao C. Lerot A. Kokhanovsky C. Hörmann P. Hedelt I. De Smedt M. Reuter M. Penning de Vries M. Pedergnana N. Theys M. Vountas H. Sihler P. Valks M. Weber W. Zimmer F. Wittrock 1

2 Outline Overview by S5P L2 Product Operational Considerations Outlook 2

3 Sentinel 5 Precursor Level 2 Products Product Coordinator Algorithm Prototyping KNMI Independent Verification IUP Operational Processor DLR-IMF O 3 total column DLR/BIRA KNMI DLR O 3 profile (incl. troposphere) KNMI RAL/IUP KNMI O 3 tropospheric column IUP/DLR KNMI DLR NO 2 total & tropospheric KNMI IUP/DLR/MPIC KNMI SO 2 BIRA MPIC/DLR DLR HCHO BIRA IUP DLR CO SRON IUP KNMI CH 4 SRON IUP KNMI Clouds DLR KNMI/MPIC/IUP DLR Aerosols KNMI MPIC/IUP KNMI 3

4 S5P L2 O 3 total: Prototype & Operational TOMS and nm Version 8 in 2004 TOMS on Nimbus 7, Earth Probe, and OMI on Aura: 1978 to now GDP 4.x (DOAS) DOAS in 325 to 335 nm AMF at nm Version 4 in 2004 GOME/SCIAMACHY/GOME-2 GDP 5.0 (GODFIT) Direct-fitting using RTM calculations in 325 to 335 nm Operational in 2012 GOME: 1995 to now 4

5 S5P L2 O 3 total: Prototype & Operational (2) Fig. 2.2,GDP 4.x in WMO/UNEP Scientific Assessment of Ozone Depletion Model Satellite Fig. 12, Dameris and Loyola, Climate Change book,

6 S5P L2 O 3 tropospheric: Prototype & Operational Residual method Total column (nadir: TOMS, OMI) minus stratospheric column (nadir/limb/solar occultation: SBUV, SAGE II, MLS or models) Fishman and Larsen, 1987, 1990, Fishman and Vukovich 1996, Schoberl et al Limb-nadir matching with a single instrument (SCIAMACHY) Tropospheric excess method Tropical total column minus Pacific total column (GOME) Convective Cloud Differential Sierk et al Burrows et al., 1999, Ladstätter-Weissenmeyer 2004 Tropical total column minus above cloud columns from a nadir sounder (TOMS, OMI, GOME, GOME-2) Cloud-slicing (TOMS, SCIAMACHY, OMI) Ziemke et al. 1998, 2009, Valks et al Extension of CCD, using above-cloud O3 and cloud-top pressure Ziemke et al. 2001, 2003,

7 S5P L2 O 3 tropospheric: Prototype & Operational (2) GOME-2 tropospheric ozone, Oct

8 S5P L2 NO 2 total & tropospheric: Verification GOME annual changes in tropospheric NO A. Richter et al., Increase in tropospheric nitrogen dioxide over China observed from space, Nature, 2005 A. Richter et al., Satellite Measurements of NO 2 from Shipping Emissions, GRL,

9 S5P L2 NO 2 total & tropospheric: Verification (2) Beirle et al., Megacity Emissions and Lifetimes of Nitrogen Oxides Probed from Space, Science, 2011 Valks et al., Operational total and tropospheric NO 2 column retrieval for GOME-2, AMT,

10 S5P L2 SO2: Prototype & Operational Anthropogenic SO2 Volcanic SO2 10

11 S5P L2 SO 2 : Verification Etn a Kasatoc hi Dalaffilla Redou bt Saryche v Eyjafjallajöku ll Nabro SO BrO Beijing Shanghai C. Hörmann, MPIC Mainz, SO 2 and BrO in volcanic plumes using GOME-2 (January 2007 June 2011) 11

12 S5P L2 HCHO: Prototype & Operational SCIAMACHY HCHO average molec.cm - ² GOME-2 De Smedt et al., Twelve years of global observations of formaldehyde using GOME and SCIAMACHY, ACP,

13 S5P L2 HCHO: Verification 13

14 S5P L2 CO: Verification City emissions Industry, traffic, domestic heating Biomass burning Transport Buchwitz et al., 2007 SCIAMACHY carbon monoxide: First successful satellite nadir SWIR (2.3 µm) demonstration (e.g., Buchwitz et al., 2007) 14

15 S5P L2 CO: Verification (2) Tangborn et al., 2009 Kopacz et al., 2010 Model A priori emissions Model Assimilated SCIA CO A posteriori / a priori emissions Achievements: Improved emissions Improved modelling Limitations: SCIA CO sparse and noisy (large pixels -> clouds; detector issues) Will be much better with S5P 15

16 S5P L2 CH 4 : Verification Algorithm: WFM-DOAS (Schneising et al., 2011) SCIAMACHY methane: First successful satellite nadir SWIR (1.6 µm) demonstration (e.g., Frankenberg et al., 2005, 2009, 2011; Schneising et al., 2009, 2011); Note: 2.3 µm difficult because of detector issues (e.g., Buchwitz et al., 2005) Many peer-reviewed publications (Science, Nature, ) Provides strong constraints on regional methane emissions (Bergamaschi et al., 2009) Used within various projects (e.g., MACC) 16

17 S5P L2 CH 4 : Verification (2) Ongoing research & use within MACC: Bergamaschi et al., EGU 2012: SCIAMACHY surface sites (NOAA/ESRL) Methane emissions Frankenberg et al., 2011 TM5-4DVAR Methane emissions reference period month running mean Findings: Trend mainly tropics and NH mid-latitudes Arctic: No trend and only small IAV 17

18 S5P L2 Clouds: Prototype & Operational Cloud properties needed for the trace gas retrieval: cloud fraction, cloud optical thickness (albedo) and cloud-top pressure (heigh). 18 Fig. 8 and 10, Loyola et al., IJRS 2010

19 S5P L2 Clouds: Verification Cloud Optical Thickness Algorithm (Lelli et al., AMT, 2012): SACURA (O2A-band) + OCRA DLR-CF + TEMIS MLER Agreement between GOME-2 CF from HICRU and FRESCO+, Marloes Penning de Vries, MPIC 19

20 S5P L2 Aerosols: Verification Thailand / Vietnam Clear seasonal cycle: First AOT max. corresponds to AAI max.: absorbing aerosols smoke non-absorbing absorbing Second AOT max. shows SCI max. (Aerosol Index minimum): nonabsorbing aerosols secondary (organic) aerosols non-absorbing absorbing Marloes Penning de Vries, Absorbing Aerosol Index (AAI) and SCattering Index (SCI), MPIC 20

21 S5P L2 Aerosols: Verification (2) Identify aerosol types by using correlations of MODIS AOT with UV Aerosol Indices and the trace gases NO 2, HCHO, SO 2 from GOME-2 Seasonal cycles of major aerosol types clearly observed TROPOMI will allow maps with higher spatial resolution whole year 2007 June-August 2007 unknown smoke desert dust volcanic ash urban biogenic volcanic smog Marloes Penning de Vries,, MPIC 21

22 Outline Overview by S5P L2 Product Operational Considerations Outlook 22

23 Ground Segments from Similar Missions GOME/ERS-2 Generation/delivery of L1 and L2 products short after commissioning phase SCIAMACHY/ENVISAT L1 products available on a routine basis only one year after commissioning phase L2 operational products available even later GOME-2/MetOp-A L1 (EUMETSAT) NRT disseminated during commissioning phase L2 (O3M-SAF) NRT disseminated few weeks after L1 GOME-2 total column first L2 MetOp full operational product 23

24 GOME-2 and GMES Atmosphere Products 24/7 2h NRT O 3 tot NO 2 tot. NO 2 trop. SO 2 HCHO BrO H 2 O Clouds 24

25 S5P Ground Segment Data Flows 25

26 S5P Ground Segment Programmatic Constraints TROPOMI/S5P Major challanges: very ambitious short schedule high data rate Current ESA planning for commissioning phase (E1) only 25% data will be process/deliver off-line no NRT capabilities Unclear EU/ESA planning for operations (E2) 26

27 Outline Overview by S5P L2 Product Operational Considerations Outlook 27

28 Atmospheric Composition monitoring with European sensors GOME SCIA. OMI June 1995 GOME-2 GOME-2 GOME-2 S5p S4 S5 E39C-A, Stenke et al., ACP 2009 ~35 years GOME/SCIAMACHY/GOME-2, Loyola et al., IJRS