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Hans Schlager DLR-Institute of Atmospheric Physics, Oberpfaffenhofen Aircraft measurements in the Asian Summer Monsoon Anticyclone – support of flight.

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Presentation on theme: "Hans Schlager DLR-Institute of Atmospheric Physics, Oberpfaffenhofen Aircraft measurements in the Asian Summer Monsoon Anticyclone – support of flight."— Presentation transcript:

1 Hans Schlager DLR-Institute of Atmospheric Physics, Oberpfaffenhofen Aircraft measurements in the Asian Summer Monsoon Anticyclone – support of flight planning by CAMS forecasts CAMS General Assembly, Athens, 14-16 June 2016

2 Topics Asian Summer Monsoon Anticyclone – interesting feature to validate CAMS OMO aircraft campaign in 2015 with CAMS support Observations versus CAMS forecasts for a selected case CAMS forecasts for future campaigns: STRATOCLIM (2016) and EMERGE (2017, 2018).

3 Features: ASM anticyclone is one of the largest synoptical features on Earth Isolated air mass by closed circulation Input of BL air by frequent deep convection Located over very polluted region – ASM cause large-scale dispersion of pollution Area of trop-strat exchange Alternation of combined and splitted Tibetian and Iranian anticyclones (Park et al. 2007) ASMA Seasonal Picture Calipso (Vernier et al, 2011 ) ATAL

4 Modes of the Asian Summer Monsoon Anticyclone

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7 (Park et al. 2007) ASMA Seasonal Picture Calipso (Vernier et al, 2011 ) Questions What are the main source regions of the air masses confined in the anticyclone? Are there sharp gradients across the edge of the anticyclone? How much reactive nitrogen is in the anticyclone? Is there enhanced photochemistry in the anticyclone? What is the source and nature of the aerosol layer in the anticyclone? ATAL

8 Participating institutions Max-Planck Institute for Chemistry, Mainz (MPIC) PI: Jos Lelieveld, Hartwig Harder (Coodination) Research Center Jülich (FZJ) PI: Andreas Wahner (Coordination) German Aerospace Center, Oberpfaffenhofen (DLR) PI: Hans Schlager Research Center Karlsruhe (KIT) PI: Andreas Zahn University of Wuppertal (UW) PI: Ralf Koppmann University of Bremen PI: Lola Hernandez University of Heidelberg PI: Klaus Pfeilsticker University of Leipzig PI: Manfred Wendisch

9 OMO Measurement Flights 14 flights in the period 21 July – 27 Aug 2015 (120 flight hrs) Region in the UT influenced by convection and monsoon dynamics Region with pristine air masses Air masses from NA (aged emissions) Paphos Gan

10 OMO Measurements Emissions from naturel and anthropogenic sources (CO, CH 4, NO x, SO 2, NMVOC and their isotopes) short-lived radicals (OH, HO 2, RO x, BrO) long-lived oxidants (e.g. O 3 ) reaction intermediates (aldehydes, ketones) products that can be removed from the atmosphere by deposition processes (acids, peroxides) water vapor radiation number concentration of Aitken aerosols

11 Forecast / Analysis Tools ECMWF meteorological forecasts CAMS chemical forecasts Forecasts of air mass backward and foreward trajectories METEOSAT 7 imagery (IR and Vis) CAMS CO / ppb 150 hpa 23 Aug 15

12 CAMS Forecast of CO at 150 hPa, 13 Aug 15, 12 UTC and HALO flight route

13 Latitude / °N HALO observations 13 Aug 2015 flight (CO data : H. Fischer et al. MPI-C)

14 CAMS Forecast of SO 2 at 150 hPa, 13 Aug 15, 12 UTC and HALO flight route

15 CAMS Forecast of NOx at 150 hPa, 13 Aug 15, 12 UTC and HALO flight route

16 Air mass 10-days backward trajectories

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18 Outlook: STRATOCLIM July/Aug 2016 Kalamata Nagpur Sharjah

19 Coupling of CAMS with the DLR Mission Support System User Interface Flight planning & post-campaign data analysis MAP selection WMS selection Way points selection

20 ECMWF Forecasts coupled with the DLR Mission Tool

21 Qutlook: Use of CAMS Forecasts for EMERGE in 2017 & 2018 Excess CO from Megacities / ppb Effect of megacities on the transport and transformation of pollutants on the regional to global scales in Europe and Asia

22 Conclusions A distinct chemical composition was observed within the ASM anticyclone with sharp trace gas gradient at the edge CAMS forecasts were very useful for the planning of the HALO flights during OMO Key chemical species (e.g. NOx, SO 2 ) were well simulated by CAMS An interactive tool for the CAMS forecasts would further intensify the use of CAMS in field campaigns (e.g. coupling of CAMS with the DLR mission tool) Easy access of CAMS analysis chemical data would suppport post-campaign data analysis and comparisons Many thanks to the CAMS team !!! (contact: hans.schlager@dlr.de)


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