Saharan Mineral Dust Experiment (SAMUM) 2006: Vertical profiles of Dust Particle Properties from Airborne in situ and Lidar Observations

Similar documents
Volcanic Ash and Saharan Dust Loads derived from Airborne Observations

Airborne measurements of dust layer properties, particle size distribution and mixing state of Saharan dust during SAMUM 2006

Saharan dust absorption and refractive index from aircraft-based observations during SAMUM 2006

SATELLITE RETRIEVAL OF AEROSOL PROPERTIES OVER BRIGHT REFLECTING DESERT REGIONS

Volcanic Ash Cloud Observations with the DLR- Falcon over Europe during Air Space Closure

Mixing of mineral dust with urban pollution aerosol over Dakar (Senegal): impact on dust physico-chemical and radiative properties

Airborne aerosol in-situ observations of volcanic ash layers of the Eyjafjallajökull volcano in April & May, 2010, over central Europe

Characterization of free-tropospheric aerosol layers from different source regions

ESTIMATED DESERT-DUST ICE NUCLEI

Regional Saharan dust modelling during the SAMUM 2006 campaign

Preliminary testing of new approaches to retrieve aerosol properties from joint photometer-lidar inversion

Airborne High Spectral Resolution Lidar Aerosol Measurements and Comparisons with GEOS-5 Model

Observation of nucleation mode particles in the UT LS: From dedicated field studies to routine observations by instrumented in service aircraft

Regional dust model performance during SAMUM 2006

Supplement of Vertical profiles of aerosol mass concentration derived by unmanned airborne in situ and remote sensing instruments during dust events

Examining effect of Asian dusts on the AIRS-measured radiances from radiative transfer simulations

Volcanic, Weather and Climate Effects on Air Transport

Five years of Synoptic-scale dust transport events in the southern Himalayas

Atmospheric Measurements from Space

ADM-Aeolus Progressing Towards Mission Exploitation

Physio-chemical and Optical Characterization of Anthropogenic and Natural Aerosol: Implications for Assessing Global Effects

Optical properties of aerosol mixtures derived from sun-sky radiometry during SAMUM-2

UKCA_RADAER Aerosol-radiation interactions

Using Airborne High Spectral Resolution Lidar Data to Evaluate Combined Active/Passive Retrievals of Aerosol Extinction Profiles

Vertically resolved dust optical properties during SAMUM: Tinfou compared to Ouarzazate

Systematic coordinated Saharan dust profiling over Europe in the frame of the EARLINET project ( )

1 Fundamentals of Lidar

Spaceborne Wind Lidar Observations by Aeolus Data Products and Pre-Launch Validation with an Airborne Instrument

Sources and Properties of Atmospheric Aerosol in Texas: DISCOVER-AQ Measurements and Validation

Particle settling and convective mixing in the Saharan Air Layer as seen from an integrated model, lidar, and in-situ perspective

Recent lidar measurements from AWIPEV

Physical and optical properties of mineral dust aerosol measured by aircraft during the GERBILS campaign

Spaceborne Aerosol and Ozone Lidars for Air Quality Applications

An Overview of the Radiation Budget in the Lower Atmosphere

NTUA. A. Georgakopoulou. A. Papayannis1, A. Aravantinos2 NATIONAL TECHNICAL UNIVERSITY OF ATHENS TECHNOLOGICAL EDUCATIONAL INSTIDUTION OF ATHENS SIENA

Continuous observation of aerosols in East Asia using a ground based lidar network (AD NET)

Global observations from CALIPSO

Data Assimilation of Satellite Lidar Aerosol Observations

ACTRIS aerosol vertical profiles: advanced data and their potential use in a aerosol observations/models combined approach

Profiling of Saharan dust and biomass-burning smoke with multiwavelength polarization Raman lidar at Cape Verde

Aerosol-type-dependent lidar ratios observed with Raman lidar

Aerosol measurements from Space. Gerrit de Leeuw FMI & Uni of Helsinki, Finland & TNO, Utrecht, Netherlands

Aerosols from Sentinel 3 and EarthCARE missions

Long-Term Time Series of Water Vapour Total Columns from GOME, SCIAMACHY and GOME-2

Supplement of Studying the vertical aerosol extinction coefficient by comparing in situ airborne data and elastic backscatter lidar

Advanced characterization of aerosol properties through the combination of active/ passive ground-based remote sensing (and in situ measurements)

Part 2 Aircraft-based Observations

Observation of Smoke and Dust Plume Transport and Impact on the Air Quality Remote Sensing in New York City

Lecture 28. Aerosol Lidar (4) HSRL for Aerosol Measurements

TESTS. GRASP sensitivity. Observation Conditions. Retrieval assumptions ISTINA-WP AERO. MODELS. B. Torres, O. Dubovik and D.

Satellite remote sensing of aerosols & clouds: An introduction

AMMA SOP. ITD and HL survey flights (I1.1)

Quantification of Icelandic dust export: proposal of a combined measurement and modeling experiment

New Insights into Aerosol Asymmetry Parameter

Aerosol and cloud related products by ESA s Aeolus mission

IAA. 1.9: Aerosol-UA - Satellite remote sensing of aerosols in the Earth atmosphere

AEROSOL RETRIEVAL AND ATMOSPHERIC CORRECTION FOR MERIS DATA OVER LAKES

BELOW-CLOUD SCAVENGING OF AEROSOL PARTICLES BY SNOW AT AN URBAN SITE IN FINLAND. Republic of South Africa

Solar radiative effects of a Saharan dust plume observed during SAMUM assuming spheroidal model particles

JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 116, D00U02, doi: /2010jd015567, 2011

Determination of backscatter ratio and depolarization ratio by mobile lidar measurements in support of EARTHCARE and AEOLUS missions

Satellite observation of atmospheric dust

A case study of observations of volcanic ash from the Eyjafjallajökull eruption: 1. In situ airborne observations

Accurate aerosol measurements are required for understanding than lower surface temperatures [Hansen et al., 1997]. Changes in

Shower development and Cherenkov light propagation

Low Arabian dust extinction-to-backscatter ratio

ACTRIS Workshop on the Reference method for Multi-Wavelength Absorption

STATISTICS OF OPTICAL AND GEOMETRICAL PROPERTIES OF CIRRUS CLOUD OVER TIBETAN PLATEAU MEASURED BY LIDAR AND RADIOSONDE

AEROSOL LIDAR ACTIVITIES AT ECMWF: STATUS AND PLANS

Extinction to backscatter ratios of Saharan dust layers derived from in situ measurements and CALIPSO overflights during NAMMA

Atmospheric Chemistry and Physics

Fully coupled aerosol-radiationinteraction

Supplementary Table 1. Geometry and flow rate of the individual components of the aerosol sampling system used in the A-FORCE 2013W campaign.

Ground-based Validation of spaceborne lidar measurements

Ultra clean layers and low albedo ( grey ) clouds in CSET

Comparison of AERONET inverted size distributions to measured distributions from the Aerodyne Aerosol Mass Spectrometer

Soot on Snow experiments Aki Virkkula Niku Kivekäs Onni Järvinen et al.

MODEL LIDAR COMPARISON OF DUST VERTICAL DISTRIBUTIONS OVER ROME (ITALY) DURING

Tropospheric aerosols in the Mediterranean: 2. Radiative effects through model simulations and measurements

Effect of aging on cloud nucleating properties of atmospheric aerosols

Duncan Axisa*, Amit Teller, Roelof Bruintjes, Dan Breed, Roelof Burger National Center for Atmospheric Research (NCAR), Boulder CO USA

Validation of ADM-Aeolus L2 aerosol and cloud product employing advanced ground-based lidar measurements (VADAM)

Indices of Refraction of Absorptive Aerosol Their Importance and Complexity

ADM-AEOLUS - ESA'S WIND LIDAR MISSION AND ITS CONTRIBUTION TO NUMERICAL WEATHER PREDICTION

A 10-year characterization of the Saharan Air Layer lidar ratio in the subtropical North Atlantic

Aerosol Air Mass Type Mapping Over Urban Areas From Space-based Multi-angle Imaging Ralph Kahn NASA Goddard Space Flight Center

JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 107, NO. D15, 4248, /2001JD001110, 2002

Projects in the Remote Sensing of Aerosols with focus on Air Quality

ACTRIS TNA Activity Report

Observatory of Environmental Safety Resource Center, Research Park. St.Petersburg. Russia.

EARLINET Observations of Saharan Dust Outbreaks over Europe

>

Satellite Constraints on Arctic-region Airborne Particles Ralph Kahn NASA Goddard Space Flight Center

The EarthCARE mission: An active view on aerosols, clouds and radiation

Analysis of Dust Aerosol by Using Dual-Wavelength Lidar

JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 107, NO. D16, 4289, /2001JD000903, 2002

Depolarization ratio profiling at several wavelengths in pure Saharan dust during SAMUM 2006

ACTIVITIES IN SUPPORT OF THE DOPPLER WIND LIDAR PROFILING MISSION ADM-AEOLUS

Interactive comment on A new method for nocturnal aerosol measurements with a lunar photometer prototype by A. Barreto et al.

EXPERIMENTAL ASSIMILATION OF SPACE-BORNE CLOUD RADAR AND LIDAR OBSERVATIONS AT ECMWF

Transcription:

Saharan Mineral Dust Experiment (SAMUM) 2006: Vertical profiles of Dust Particle Properties from Airborne in situ and Lidar Observations Andreas Petzold, Bernadett Weinzierl, Michael Esselborn, Katharina Rasp, Markus Fiebig, Frank Wagner, Aki Virkkula Institute of Atmospheric Physics, DLR University of Evora, Portugal; Finnish Meteorological Institute, Helsinki, Finland Perugia Mineral Dust Workshop, 9-11 July 2007

The SAMUM Consortium 6λ LIDAR profiles, sun photometry funding agency chemical composition dust size distritrubition (ground site) Satellite retrievals of dust propertes from MERIS vertical distribution of dust properties (optical, microphys., chem.) from airborne in-situ and HSRL data chemical composition (ground site) Satellite retrievals of dust properties, local contact LIDAR depolarisation and backscatter, sun photometry 2

SAMUM 2006 Tenerife Izana Observatory AOT, Lidar, ground site ENVISAT MSG Ouarzazate Partenavia IfT Lidar, MIM Lidar AOT Casablanca Zagora DLR Falcon ground site, MIM Lidar AOT 3

SAMUM Airborne Instrumentation Nukleationsmode Aitken Mode Akkumulationsmode Grobpartikelmode NUC AITK ACC COARSE / DUST dn / d log Dp / cm -3 10 4 10 3 10 2 10 1 10 0 10-1 10-2 10-3 Technique condensation 0.003-0.02 µm CPSA/CPC deposition 0.02-0.08 µm electrical mobility CPC + DS lightscattering 0.01-0.2 µm DMA 0.1-3 µm PCASP 100-X 0.3-20 µm FSSP 300 size-resolved particle volatility 1-100 µm spectral absorption coefficient FSSP 100-ER 10-3 10-2 10-1 10 0 10 1 Dp / µm DLR IPA Aerosol Instrumentation - full coverage of the relevant particle size spectrum (D = 0.004-100 µm) - high time resolution (5 s) - multi-λ aerosol absorption & particle volatility refractive index 4

SAMUM Airborne Instrumentation Airborne nadir-looking HSR LIDAR Parameter Backscatter coefficient Extinction coefficient LIDAR ratio Optical depth of elevated dust layers Depolarization ratio Water vapour Wavelength λ, nm 532, 925, 1064 532 532 532, 1064 532, 1064 925 5

Data Analysis Scheme 4 4 PSAP-Signal 10 15 Inversion erfolgreich Inversion nicht erfolgreich CPC + PCASP CPC + GRIMM FSSP 300 0 10-1 10 0.01 0.1 1 10 100 4 2-1 10 3 5 2 0 500 600 500 σ abs URBAN, Mm -1 1 10 σ abs DUST, Mm -3 dn / d log Dp, cm 2 10 PSAP - Signal, 1/Mm 6 3 10 0 700 600 λ, Wellenlänge nm, nm Dp, µm Size distribution from multiple instruments 3λ-PSAP 700 Å - exponent for σap by 3λ absorption data Aerosol - optical model PM = α [ SiO2, AS ] + β Fe2O3 + γ [ BC, abs. mineral ] σ ep, σ sp, σ ap, σ bp, ω 0, mixing state, vol. fraction 6

Our favourite animal 7

Our favourite animal - the SAMUM Crocodile 8

19 May 2006 - Dust Vertical Distribution wind dir / deg 0 9 90 180 270 360 8 7 060519a, DESCENT OZT 11:12:16-12:12:21 FSSP-300 0.4 < Dp < 1 µm 1 < Dp < 3 µm Dp > 3 µm 9 8 7 altitude / km ASL 6 5 4 3 2 6 5 4 3 2 altitude / km ASL 1 0 310 315 320 325 330 335 theta / K 1 10-2 10-1 10 0 10 1 0 N / scm -3 #060519a, OZT Backscatter Ratio @1064 Dust layer extents across the entire boundary layer. Turbulent mixing of the dust layer -> homogeneous distribution of dust. 9

10 Dust Vertical Distribution b) 1 < D p < 3 µm a) 0.4 < D p < 1 µm c) D p > 3 µm altitude / km ASL 9 8 7 6 5 4 3 2 dust filaments sharp upper boundary of the dust layer 1 0 0.01 0.1 1 10 Ouarzazate: 1150 m ASL 0.01 0.1 1 10 0.01 0.1 1 10 N ambient / cm-3 black line: median grey shaded: 10- and 90- percentile values 10

Dust Microphysical Properties dn / dlogdp / (scm -3 ) 10 5 10 4 10 3 10 2 10 1 upper dust, ZAG 11:26:37-11:35:32 3206 m ASL RH ~ 26 % dn (dlog D p ) -1 / cm -3 10 0 D p / µm 10-1 0.01 0.1 1 10 100 Dp / µm N CMD GSD Mode1: 950 0.072 1.9 Mode2: 7.5 0.6 1.5 Mode3: 7 1.2 2.0 Mode4: 0.4 6.5 1.5 11

Dust Microphysical Properties dn / dlogdp / (scm -3 ) 10 5 10 4 10 3 10 2 10 1 upper dust, ZAG 11:26:37-11:35:32 3206 m ASL RH ~ 26 % dn (dlog D p ) -1 / cm -3 frequency 20 15 10 5 dust, Σ = 49 10 0 10-1 0.01 0.1 1 10 100 Dp / µm D p / µm 0 0 2 4 6 8 10 12 14 16 Deff (data) / µm N CMD GSD Mode1: 950 0.072 1.9 Mode2: 7.5 0.6 1.5 Mode3: 7 1.2 2.0 Mode4: 0.4 6.5 1.5 Refractive index coated ACC m mean, 532nm = 1.531 + 0 i DUST m mean, 532nm = 1.555 + 0.0031 i Effective Diameter 6.2 2.7 µm 12

Closure of Optical Properties of Dust σ ep (in-situ) / km 0.30 0.25 0.20 0.15 0.10 HSRL: σ ep from direct high spectral resolution lidar measurements (no assumptions). in situ: σ ep from size distributions and refractive index. 0.05 σ ep (532 nm) σ ep (355 nm) 1:1 line 0.00 0.00 0.05 0.10 0.15 0.20 0.25 0.30 σ ep (HSRL, IfT-lidar) / km 13

Closure of Optical Properties of Dust σ ep (in-situ) / km 0.30 0.25 0.20 0.15 0.10 High correlation between in situ and HSRL σ ep. SD parameterisation matches observations better than 95%. Effect of particle nonsphericity < - 5%. Mie model applicable to σ ep calculation. 0.05 σ ep (532 nm) σ ep (355 nm) 1:1 line 0.00 0.00 0.05 0.10 0.15 0.20 0.25 0.30 σ ep (HSRL, IfT-lidar) / km 14

Refractive Index of Dust (VIS) N å ap n(450 nm) k(450nm) n(700 nm) k(700nm) Hem Vol-% Kao Vol-% Quarz Vol-% Episode 1 15 2.7 1.56 0.0058 1.56 0.0024 0.35 0.0028 0.0007 0.0018 0.0004 0.42 34.54 65.04 Episode 2 7 3.3 0.66 1.56 0.0024 0.0036 0.0004 1.55 0.0016 0.0013 0.0004 0.28 18.71 81.00 Episode 3 a 5 3.2 1.56 0.0038 1.55 0.0014 0.29 0.74 0.0021 0.0001 0.0011 0.0004 19.70 80.01 Episode 3 b 2 5.0 0.12 1.55 0.0014 0.0032 0.0006 1.55 0.0011 0.0005 0.0001 0.31 6.45 93.25 Episode 3 c 8 6.6 0.44 1.55 0.0009 0.0031 0.0004 1.55 0.0007 0.0003 0.0001 0.33 2.19 97.49 å ap =-[ln(σap/σap)]/ ln[467nm/660nm] 15

Variability of Dust Optical Properties 060603 Rückwärtstrajektorien back trajectories, 75 h L6 L4 L3 L5 L7 L3 L4 L5 L6 L7 L8 L3, L6 Two-layer structure h > 2500 m: å ap < 4 h < 2500 m: å ap > 6 L4, L5 h [m] 3800 2500 1200 3800 2500 2300 å ap 3.6 6.6 6.5 3.8 4.9 6.0 Differences in å ap and D eff can be assigned to different source regions. 16

What does SAMUM deliver? (1) Complete characterisation of dust optical properties from airborne HSRL / backscatter lidar application. (2) Extensive data set on aerosol microphysical, optical and chemical properties of pure dust from the northern Sahara. (3) Dust properties: - å (σ ep ) 0 - å(σ ap ) = 2.5-7 -D eff = 6.2 2.7 µm - n (530 nm) = 1.55-1.56 - k (450) = 0.0031-0.0058 - k (660) = 0.0003-0.0024 - particle depolarisation 30% - lidar ratio = 50-60 (55) sr (4) Dust properties depend significantly on the source region. 17

Acknowledgement The SAMUM activities presented here received funding through the following contracts DFG Research Group SAMUM ESA ESTEC Contract No. ESTEC 19429/06/NL/AR EUFAR Research Project DARPO The support of SAMUM is gratefully acknowledged. 18

SAMUM Target Areas SAMUM-1 SAMUM-2 http://climate.gsfc.nasa.gov/viewimage.php?id=199 Image of the Week - February 18, 2007 19