Global stratospheric aerosol distribution as measured by the OMPS/LP Didier Rault, GESTAR / Morgan State University Pawan Bhartia, NASA Goddard Space Flight.

Slides:

Advertisements

Similar presentations

Products from the OMPS Limb Profiler (LP) instrument on the Suomi NPP Satellite Pawan K. Bhartia Earth Sciences Division- Atmospheres NASA Goddard Space.

Advertisements

NASA NPP OMPS Science Team meeting August 15, 2013

OMPS/LP observations of Russian meteor aftermath effect on Earth’s atmosphere Nick Gorkavyi, Science Systems and Applications, Inc D.F. Rault, GESTAR,

Earth System Science Teachers of the Deaf Workshop, August 2004 S.O.A.R. High Earth Observing Satellites.

Mars’ North and South Polar Hood Clouds Jennifer L. Benson Jet Propulsion Laboratory, California Institute of Technology July 22, 2010 Copyright 2010 California.

SCILOV-10 Validation of SCIAMACHY limb operational NO 2 product F. Azam, K. Weigel, Ralf Bauer, A. Rozanov, M. Weber, H. Bovensmann and J. P. Burrows ESA/ESRIN,

1 An initial CALIPSO cloud climatology ISCCP Anniversary, July 2008, New York Dave Winker NASA LaRC.

SCILOV-10 Validation of SCIAMACHY limb operational BrO product F. Azam, K. Weigel, A. Rozanov, M. Weber, H. Bovensmann and J. P. Burrows ESA/ESRIN, Frascati,

Results from the OMPS Nadir Instruments on Suomi NPP Satellite

Variability of Total Column Ozone During JAN JUN 2011: Consistency Among Four Independent Multi-year Data Records E.W. Chiou ADNET Systems Inc.,

CPI International UV/Vis Limb Workshop Bremen, April Development of Generalized Limb Scattering Retrieval Algorithms Jerry Lumpe & Ed Cólon.

Tangent height verification algorithm Chris Sioris, Kelly Chance, and Thomas Kurosu Smithsonian Astrophysical Observatory.

Predictability study using the Environment Canada Chemical Data Assimilation System Jean de Grandpré Yves J. Rochon Richard Ménard Air Quality Research.

Satellite Remote Sensing of Surface Air Quality

Variability of Tropical to Extra-tropical Transport in the Lower Stratosphere Mark Olsen UMBC/GSFC Anne Douglass, Paul Newman, and Eric Nash.

Visible Satellite Imagery Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied Sciences Week –

1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.

8-years of global observations of water isotopologues in the stratosphere and mesosphere by the Odin satellite J. Urban, D.P. Murtagh, P. Eriksson,...

Aircraft spiral on July 20, 2011 at 14 UTC Validation of GOES-R ABI Surface PM2.5 Concentrations using AIRNOW and Aircraft Data Shobha Kondragunta (NOAA),

Aerosol Climate Change Initiative Stratospheric activities around the Aerosol_CCI project C. Bingen, C. Robert, A. Bourrassa & Aerosol_CCI Team F. Vanhellemont,

1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.

Satellite Measurements of Volcanic SO 2 Emissions into the UTLS Simon A. Carn 1, Kai Yang 2,3, Nickolay A. Krotkov 3, and Fred J. Prata 4 1.Michigan Technological.

Application of Satellite Data to Particulate, Smoke and Dust Monitoring Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality.

Lidar Working Group on Space-Based Winds, Snowmass, Colorado, July 17-21, 2007 A study of range resolution effects on accuracy and precision of velocity.

MIR OZONE ISSUES Horizontal (STE) and vertical transport (long life time in UTLS) Photochemical production by precursors (biomass burning, lightning,..)

Summer Institute in Earth Sciences 2009 Comparison of GEOS-5 Model to MPLNET Aerosol Data Bryon J. Baumstarck Departments of Physics, Computer Science,

1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.

Introduction Invisible clouds in this study mean super-thin clouds which cannot be detected by MODIS but are classified as clouds by CALIPSO. These sub-visual.

From TOMS to OMI Reflections on 15 years of NASA/KNMI/FMI Collaboration Pawan K Bhartia Earth Sciences Division- Atmospheres NASA Goddard Space Flight.

Global stratospheric aerosol distribution as measured by the OMPS/LP

National Oceanic and Atmospheric Administration Cooperative Remote Sensing Science and Technology Center Space Shuttle limb view Limb Scattering Radiative.

SCIAMACHY long-term validation M. Weber, S. Mieruch, A. Rozanov, C. von Savigny, W. Chehade, R. Bauer, and H. Bovensmann Institut für Umweltphysik, Universität.

Water vapour, temperature, and ice particles in polar mesosphere as measured by SABER/TIMED and OSIRIS/Odin instruments A.G. Feofilov 1,2, S.V. Petelina.

Assessment of SBUV Profile Algorithm Using High Vertical Resolution Sensors Assessment of SBUV Profile Algorithm Using High Vertical Resolution Sensors.

Characterization of Aerosols using Airborne Lidar, MODIS, and GOCART Data during the TRACE-P (2001) Mission Rich Ferrare 1, Ed Browell 1, Syed Ismail 1,

Testing LW fingerprinting with simulated spectra using MERRA Seiji Kato 1, Fred G. Rose 2, Xu Liu 1, Martin Mlynczak 1, and Bruce A. Wielicki 1 1 NASA.

Measuring the Antarctic Ozone Hole with the new Ozone Mapping and Profiler Suite (OMPS) Natalya Kramarova, Paul Newman, Eric Nash, PK Bhartia, Richard.

OMPS Products Applications Craig Long NOAA/NWS/NCEP Climate Prediction Center SUOMI NPP SDR Product Review -- 23/24 October NCWCP Auditorium.

A Long Term Data Record of the Ozone Vertical Distribution IN43B-1150 by Richard McPeters 1, Stacey Frith 2, and Val Soika 3 1) NASA GSFC

Geoscience Laser Altimeter System Aerosol and Cloud Observations by the GLAS Polar Orbiting Lidar Instrument NASA - Goddard Space Flight Center Launched.

Status of the Development of a Tropospheric Ozone Product from OMI Measurements Jack Fishman 1, Jerald R. Ziemke 2,3, Sushil Chandra 2,3, Amy E. Wozniak.

(to optimize its vertical sampling)

1 Monitoring Tropospheric Ozone from Ozone Monitoring Instrument (OMI) Xiong Liu 1,2,3, Pawan K. Bhartia 3, Kelly Chance 2, Thomas P. Kurosu 2, Robert.

Recent Solar Irradiance Data From SBUV/2 and OMI Matthew DeLand and Sergey Marchenko Science Systems and Applications, Inc. (SSAI) SOLID WP-2 Workshop.

Retrieval of biomass burning aerosols with combination of near-UV radiance and near -IR polarimetry I.Sano, S.Mukai, M. Nakata (Kinki University, Japan),

ACKNOWLEDGEMENTS: Rob Albee, Jim Wendell, Stan Unander, NOAA Climate Forcing program, DOE ARM program, NASA, Met. Service Canada, Chinese Met. Agency,

1 COST 723 WG1 Meeting 1 October 6-7, 2003 University of Bern, CH Availability of UTLS relevant SCIAMACHY data C. von.

Validation of OMPS-LP Radiances P. K. Bhartia, Leslie Moy, Zhong Chen, Steve Taylor NASA Goddard Space Flight Center Greenbelt, Maryland, USA.

Chemical Data Assimilation: Aerosols - Data Sources, availability and needs Raymond Hoff Physics Department/JCET UMBC.

Ozone PEATE 2/20/20161 OMPS LP Release 2 - Status Matt DeLand (for the PEATE team) SSAI 5 December 2013.

1 Xiong Liu Harvard-Smithsonian Center for Astrophysics K.V. Chance, C.E. Sioris, R.J.D. Spurr, T.P. Kurosu, R.V. Martin, M.J. Newchurch,

Correlative Analysis of PMC Existence and Mesospheric Temperature and Water Vapour A.G. Feofilov 1,2, S.V. Petelina 3, A.A. Kutepov 1,2, W.D. Pesnell 1,

Spatial patterns in the seasonal evolution of ozone and CO as seen by TES, and the effects of the geographically variable a-priori used in the TES retrieval.

Global Ozone and Surface UV Climatology Data Products for NASA Earth Observations (NEO) and Science on the Sphere (SOS) 1) Tropospheric Column Ozone in.

SAGE III Aerosol Studies: Size Distribution Retrievals and Validation Mark Hervig GATS Inc.

Retrieval of desert dust aerosols vertical profiles from IASI measurements in the TIR atmospheric window Sophie Vandenbussche, Svetlana Kochenova, Ann-Carine.

NASA, CGMS-44, 7 June 2016 Coordination Group for Meteorological Satellites - CGMS SURFACE PRESSURE MEASUREMENTS FROM THE ORBITING CARBON OBSERVATORY-2.

Impact of OMI data on assimilated ozone Kris Wargan, I. Stajner, M. Sienkiewicz, S. Pawson, L. Froidevaux, N. Livesey, and P. K. Bhartia   Data and approach.

UEE Seminar Series Lidar Sensing of Tropospheric Aerosols and Clouds

Daily Tropospheric Ozone Residual from OMI-MLS

Daytime variations of AOD and PM2

V2.0 minus V2.5 RSAS Tangent Height Difference Orbit 3761

ATom data management plan:

GOMOS measurements of O3, NO2, and NO3 compared to model simulations

Cloud Property Retrievals over the Arctic from the NASA A-Train Satellites Aqua, CloudSat and CALIPSO Douglas Spangenberg1, Patrick Minnis2, Michele L.

Kris Wargan & Natalya A. Kramarova(*)

Evaluation of the MERRA-2 Assimilated Ozone Product

Application of Aeolus Winds

CALIPSO Total Attenuated Backscatter 532 nm 7 June 2006 Volcanic plume

Presentation transcript:

Global stratospheric aerosol distribution as measured by the OMPS/LP Didier Rault, GESTAR / Morgan State University Pawan Bhartia, NASA Goddard Space Flight Center SSAI processing team, Science Systems & Applications Inc, Lanham, MD 20706, USA Stratospheric Sulfur and Its Role in Climate (SSiRC) October 2013, Atlanta, Georgia 1

OUTLINE Ozone Mapper Profiler Suite (OMPS) Limb Profiler Stratospheric aerosol product description Orbital curtain files Vertical profiles of aerosol extinction Vertical profiles of Angstrom coefficient (particle size) Quality assessment / comparison with CALIPSO, GOMOS Observations Chelyabinsk meteor aftermath Aerosol “bubbles” Time evolution of aerosol layer (over 1.5 year of operation) Brewer Dobson Circulation signature Conclusion 2

OMPS Limb Profiler NPP/Suomi launched on October 28, Sun-synchronous orbit (1:30 PM ascending node and 833 km altitude) OMPS/LP images the whole vertical extent of the Earth limb (110 km) Wavelength range: 290 nm – 900 nm 3 measurements every 19 s (1° lat sampling) 7000 measurements per day 4-5 days revisit time I km vertical sampling 2 km vertical resolution 3 Courtesy: BATC OMPS

4 Based on Rodgers’ Optimal Estimation, with Tikhonov regularization Retrieve extinction vertical profiles at several wavelengths from 470 to 870 nm Evaluate mean Angstrom coefficient in whole aerosol layer Convert Angstrom coefficient into particle size (phase function) Retrieve extinction vertical profiles with updated particle size Ref: D. Rault, R. Loughman, IEEE Trans. on Geoscience and Remote Sensing, Issue 99, 1 (2013) Stratospheric aerosol product (1) Retrieval algorithm

5 2 week Zonal Mean OMPS at 524 nm (orbit #1055, January 10, 2012) CALIPSO at 532 nm (averaged over first two weeks in Jan 2012, result by J.-P. Vernier) Orbit 1055 Stratospheric aerosol product (2) Aerosol curtains 5

6 2 week Zonal Mean OMPS at 524 nm (orbit #1055, January 10, 2012) CALIPSO at 532 nm (averaged over first two weeks in Jan 2012, result by J.-P. Vernier) Orbit 1055 OMPS at 524 nm (orbit #1055, January 10, 2012) Aerosol Angstrom vertical profile (Daily mean) Stratospheric aerosol product (2) Aerosol curtains 6

Monthly statistics Comparison with CALIPSO and GOMOS 7 Comparison with CALIPSO Bias < 7%, Variance = 27 % Comparison with GOMOS Bias < 10%, Variance = 30 % Stratospheric aerosol product (3) 7

Observation of Chelyabinsk meteor aftermath (1) “New stratospheric dust belt due to the Chelyabinsk bolide”, Gorkavyi, Rault, Newman, da Silva, Dudorov, GRL, DOI: /grl (5 Sep 2013) 20m diameter, 10,000 metric tons, 18.6 km/s Explosion at 23.3 km with energy release = 30 x Hiroshima pulverized meteor Mushroom cloud to > 55km 8

Observation of Chelyabinsk meteor aftermath (2) Meteor plume descent = -90 m / day -1 mm /sec 9 Aerosol scattering ratior Aerosol size (Angstrom)

Additional features: Aerosol bubbles (1) OMPS/LP aerosol curtain Event number along orbit Height [km] Red circle = meteor dust White circle = aerosol bubble Monthly median Junge layer 10

Observation of Aerosol bubbles (2) Mean speed: 35 deg lat in 32 days = 1.4 m /s Bubble flight time vs latitude 11 Meridional velocity at 7hpa (MERRA)

12 Observation of Aerosol bubbles (3)

Observation of Aerosol bubbles (4) 13 Meridional evolution

Observation of Aerosol bubbles (5) day 14 Vertical descent in NH

The time evolution was computed on same grid points (latitude, height)at all dates Time evolution of stratospheric aerosol over OMPS/LP mission (1) 15

Evolution of stratospheric aerosol over OMPS/LP mission (2) Fen February 2012 – August

Evolution of stratospheric aerosol over OMPS/LP mission (3) Annual variation Fen February 2012 – August Polewards In SH winter Polewards In NH winter

Brewer Dobson circulation (1) 18

Brewer Dobson circulation (2) Ascent rates compiled by J. Urban 19

20 Brewer Dobson circulation (4) NH BDC Median Junge layer. Extinction Median Junge layer. Angstrom coefficient Aerosol particle size (Angstrom coefficient)

21 Brewer Dobson circulation (4) NH BDC Median Junge layer. Extinction Median Junge layer. Angstrom coefficient Larger particles in NH, finer in SH Aerosol particle size (Angstrom coefficient)

22 Brewer Dobson circulation (4) NH BDC Median Junge layer. Extinction Median Junge layer. Angstrom coefficient Maximal altitude for R>0.1μm particles: V terminal = V updraft = 0.3mm/sec Aerosol particle size (Angstrom coefficient)

23 Brewer Dobson circulation (5) NH BDC Median Junge layer. Extinction Median Junge layer. Angstrom coefficient No NH BDC SH BDC Aerosol particle size (Angstrom coefficient) Maximal altitude for R>0.1μm particles: V terminal = V updraft = 0.2mm/sec

Brewer Dobson circulation (6) 24

Conclusion 25 BDC downdraft BDC updraft 35 km 30 km 25 km 20 km 15km Tropopause Surf zone Tropical pipe Vortex Equator Winter pole Lessons learnt from OMPS/LP stratospheric aerosol assessment: -Quantitative: Within 10% bias, 30% variance wrt CALIPSO, GOMOS -Qualitative: Contains signature of volcano, meteor, BDC (bubbles, extinction profiles, Angstrom). QBO effect TBD(<2 years of data) -Observations: 30% Decrease of stratospheric aerosol from Feb 2012 to Aug 2013

Backup slides 26

Ref: F. Kasten, “Falling speed of aerosol particles”, J. Applied Meteorology, Vol 7, pp , Oct mm/sec = 0.8 km/month Maximum altitude for 0.1 μm in tropical pipe Altitude [km] Falling speed [cm/s] Falling speed of spherical 1 g/cc particles in 1962 US Standard atmosphere 27 Maximum altitude for 0.5 μm in tropical pipe

QBO feature within OMPS/LP data? Black circles Indicate largest easterlies (at 10hpa), which should correspond to larger vertical updraft No QBO signature yet in OMPS/LP dataset 28

29

30

31 Brewer Dobson circulation

Evolution of stratospheric aerosol over OMPS/LP mission (1) Fen February 2012 – August

Evolution of stratospheric aerosol over OMPS/LP mission (5) Annual Variation and QBO? Fen February 2012 – August

Ref: Brinkhoff, SCIAMACHY group OMPS/LP Zonal yearly mean N 20-24km Zonal yearly mean N 20-24km 34 Time evolution of stratospheric aerosol over OMPS/LP mission (2)

Brewer Dobson circulation (3) Comparison with MERRA 35 Summer Winter

36 Brewer Dobson circulation (4) NH BDC Median Junge layer. Extinction Median Junge layer. Angstrom coefficient Maximal altitude for R>0.1μm particles: V terminal = V updraft = 0.3mm/sec Aerosol particle size (Angstrom coefficient)