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AD-Net status

GALION WS, 20-23 Sep 2010, Geneva. AD-Net status. Nobuo SUGIMOTO National Institute for Environmental Studies nsugimot@nies.go.jp. Atsushi Shimizu, Ichiro Matsui, Tomoaki Nishizawa, Boyan Tatarov, Yukari Hara, Tamio Takamura, Soon-chang Yoon, Zifa Wang, Itsushi Uno, …. AD-Net stations. **.

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AD-Net status

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  1. GALION WS, 20-23 Sep 2010, Geneva AD-Net status Nobuo SUGIMOTO National Institute for Environmental Studies nsugimot@nies.go.jp Atsushi Shimizu, Ichiro Matsui, Tomoaki Nishizawa, Boyan Tatarov, Yukari Hara, Tamio Takamura, Soon-chang Yoon, Zifa Wang, Itsushi Uno, …

  2. AD-Net stations ** ** ** *NIES Lidar Network ** **SKYNET ** **

  3. AD Net stations NIES lidar network (1) Forest fire Mineral dust Ryori Gwangju Taipei Industrial Biomass burning

  4. (NIES Lidar Network) NIES lidar network (2) Realtime data processing system Dust event Two-wavelength (1064nm, 532nm) Mie-scattering lidar with polarization channels at 532nm. (Raman receivers (607nm) are being added at several observation sites.) Extinction coefficient estimates of dust (left) and spherical aerosols (right) for primary locations (April 2009).

  5. (NIES Lidar Network) Data distribution

  6. (NIES Lidar Network) Research programs and international cooperation • Research on Asian dust in the Research Program of Ministry of the Environment of Japan • Research on regional air pollution in the Research Program of Ministry of the Environment of Japan • Research on the effects of aerosols on plants and human healthwith Ministry of Education Science and Technology of Japan International cooperation -Working group on Dust and Sand Storm under Japan-China-Korea Tripartite Environment Ministers Meeting (TEMM) (Data sharing and model inter-comparison) -WMO Sand and Dust Storm Warning Advisory and Assessment System (SDS-WAS) (Realtime data sharing and model intercomparison in Asian node) -Plan to cooperate with the Seven Southeast Asian Studies (7SEAS) -GALION

  7. 4D-Var data assimilation system for Asian dust NIES lidar network (3) Comparison of the assimilated dust transport model with CALIPSO data (Hara et al. 2009) 4DVAR data assimilation of Asian dust using the NIES lidar network data (Yumimoto et al. 2007, 2008) Please see the publication list at http://www-lidar.nies.go.jp/~cml/English/PublicationsE.html

  8. without assimilation with assimilation dust emission factor March 25- April 3, 2007 May 21-30, 2007

  9. 2.2 Monthly (non-dust) AOT variation at NIES lidar sites (7/15) Summertime peak 2006 2008 2007 Beijing Autumn peak Summertime trough (clean) Guangzhou Okinawa /Hedo ・Space and ground-based lidar AOT values show relatively good agreement. ・CMAQ shows similar seasonal variation. (Hara et al.)

  10. 2.3 Seasonal variation of vertical profiles (8/15) Summertime peak type AOT(ZH)=AOT(6km)(1-e-1) 0.63 AOT(6km) ZH=aerosol scale height Beijing ・The seasonal variation in the aerosol scale height at Beijing is largest (about 1 km) among these sites which is correlated to the large seasonal variation of the mixing layer depth . ・We can classify typical seasonal variations of spherical AOT at the three lidar sites into two types: the ‘summertime peak’ type and the ‘summertime trough’ type. Time Time Time Summertime trough type Guangzhou Okinawa/Hedo

  11. 富山の例 Near-surface (120m-1km) dust and spherical-aerosol extinction coefficient used in the epidemiological study.

  12. K. Kanatani, et. al. American Journal of Respiratory and Critical Care Medicine, 2010. Desert-dust is associated with increased risk of asthma hospitalization in children Figure 2 Meteorologically adjusted Odds Ratios (ORs) for the relations between asthma hospitalizations and heavy dust exposure (daily average level above 0.1mg/m3) with various cumulative lags Figure ** Adjusted OR for the relations between asthma hospitalizations and heavy SPM (suspended particulate matter) exposure (daily average level above 0.1mg/m3) for various cumulative lag periods Figure * Adjusted OR for the relations between asthma hospitalizations and heavy sphere particleexposure (daily average level above 0.1mg/m3) for various cumulative lag periods

  13. cutoff Figure 3 Association between meteorologically adjusted OR and cut-off values for dust particle level. Mass(SPM)/extinction ~ 1000 (mg/m3)/(km-1)

  14. Mass/extinction conversion factor (MEF) PM10/(Lidar extinction) and assimilated CFORS model was compared for mineral dust. MEF for PM10 shows temporal (and spatial variation) • Variation in MEF for PM2.5 is much smaller. • PM2.5 is less dependent on particle size distribution. • We can better quantify “dust PM2.5” from the dust extinction coefficient. CFORS has 12 size bins for dust (Sugimoto et al., 2010)

  15. S1(532nm)= 65±5sr, PDR= 0.14±0.03, BAE(532,1064)=1.1±0.2 Mongolian forest fire in June 2007 (Sugimoto et al., SOLA 2010)

  16. Moscow forest fire smoke NRL NAAPS Russian forest fire smoke in Aug 2010

  17. Ongoing projects • Climatology and case studies using lidar network data (and CALIPSO) • Real time data assimilation for dust forecasting. • Assimilation of regional chemical transport models including spherical aerosols • Assimilation of global aerosol climate models including the lidar network data • -Meteorological Research Institute (T. Sekiyama) • -Kyushu University (T. Takemura, K. Yumimoto) • -University of Tokyo (T. Nakajima, N. Schutgens) • 4) Development of a multi-wavelength high-spectral-resolution lidar (2a+3b+2d) and a data analysis method

  18. 2+3+2 HSRL system 355nm HSRL receiver 532nm HSRL + 1064nm receiver PMT (355nm) Etalon PMT (532nm) Iodine filter APD (1064nm)

  19. Photodiode Photo diode AOM AOM Measured Iodine absorption spectrum I2cell (L=10cm) λo+δλ I2 cell Laser Transmittance Pinhole λo−δλ AOM PC ADC Laser wavelength tuning system ND Filter Ratio of P(λo+δλ) to P(λo−δλ) Center wavelength of Iodine absorption line used in this study（line number:1111） Wavelength shift [pm] Pinhole

  20. 17LT Aug. 20 ~ 9LT Aug. 21 at Tsukuba (140.12E, 36.05N), Japan Derived particle opt. prop. Measured signals Backscatter [/km/sr] P532,paericle+molecule Cloud Preliminary measurement Extinction [/km] P532,molecule P1064, particle+molecule Extinction / Backscatter [sr] Particle depolarization ratio δ532

  21. Simulated interference fringes PMT355,Mie,ch2 Pinhole mirror (Pinhole dia. = 3mm) P=-1.6hPa P=-3.2hPa Lens Etalon PMT355,Mie,ch1 Etalon wavelength tuning system P=+3.2hPa P=+1.6hPa 1m (Focused light dia.＝4mm) Finness = 10 FSR = 5GHz Simulated signals Measured signals Maximum transmittance for Mie scatter

  22. NIES lidar network (1) NIES Lidar Network India China 7SEAS Network (J. Campbell et al.)

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