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

Similar documents
FIRST SYSTEMATIC OBSERVATIONS OF SAHARAN DUST OVER EUROPE DURING EARLINET ( ): STATISTICAL ANALYSIS AND RESULTS

EARLINET Observations of Saharan Dust Outbreaks over Europe

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

Long-term aerosol and cloud database from correlative CALIPSO and EARLINET observations

>

Vertical distribution of dust aerosols from 5 years of CALIPSO observations

SYNERGETIC USE OF ACTIVE AND PASSIVE REMOTE SENSING INSTRUMENTS FOR THE SEASONAL VARIANCE OF AEROSOLS OVER CYPRUS

Global observations from CALIPSO

INVESTIGATION OF SAHARAN DUST TRANSPORT ON THE BASIS OF AEROLOGICAL MEASUREMENTS

EARLINET, the ACTRIS aerosol vertical profiling component

Aerosols and Clouds: Long-term Database from Spaceborne Lidar Measurements

25 TH INTERNATIONAL LASER RADAR CONFERENCE

Storm Warning System Barcelona, November 7-9-, 2007

25 TH INTERNATIONAL LASER RADAR CONFERENCE

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

Characterization of free-tropospheric aerosol layers from different source regions

Data Assimilation of Satellite Lidar Aerosol Observations

The World Meteorological Organization (WMO) Sand and Dust Storm Warning System (SDSWS): An Effective Aid in Reducing Adverse Effects on Health

Referee Comment #2. The next paragraph is inserted in Section 2.2:

Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea

Aldemar Knossos Royal Village Conference Center June 1-6, 2008, Crete, Greece

Ground-based Validation of spaceborne lidar measurements

The regional distribution characteristics of aerosol optical depth over the Tibetan Plateau

Seasonal Aerosol Vertical Distribution and Optical Properties over North China Xing-xing GAO, Yan CHEN, Lei ZHANG * and Wu ZHANG

Characterization of events of transport over the Mediterranean Basin: the role of Po Valley

Dust modeling and forecasting at the Barcelona Supercomputing Center: activities and developments

Report to the CAS/WWRP/SSC7 on the activities of the SDS-WAS for the period July 2013 October 2014; presented by Slobodan Nickovic

A. Papayannis, D. Balis, V. Amiridis, G. Chourdakis, G. Tsaknakis, C. Zerefos, A. D. A. Castanho, S. Nickovic, S. Kazadzis, J.

Low Arabian dust extinction-to-backscatter ratio

Optimizing Saharan Biogeosciences dust CALIPSO retrievals

Climatology of Dust Sources in North Africa and the Arabian Peninsula, Based on TOMS Data

APPLICATION OF CCNY LIDAR AND CEILOMETERS TO THE STUDY OF AEROSOL TRANSPORT AND PM2.5 MONITORING

Desert dust remote sensing with the new zenith looking narrow band radiometer

Satellite Observations of the Impacts of Fine Particle Pollution on Climate Change. Lorraine Remer NASA/Goddard Space Flight Center

Atmospheric composition modeling over the Arabian Peninsula for Solar Energy applications

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

AEROSOL LIDAR ACTIVITIES AT ECMWF: STATUS AND PLANS

Atmospheric aerosol characterization in the urban area of Napoli

Advection patterns and aerosol optical and microphysical properties by AERONET over south-east Italy in the central Mediterranean

A Novel Cirrus Cloud Retrieval Method For GCM High Cloud Validations

The aerosol- and water vapor-related variability of precipitation in the West Africa Monsoon

Radiative effects of desert dust on weather and climate

ACTRIS TNA Activity Report

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

Developments in CALIOP Aerosol Products. Dave Winker

European ceilometer and lidar networks for aerosol profiling and aviation safety the German contribution

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

«Action Thématique Incitative sur Programme» CNRS/INSU

Misure LIDAR di aerosol e trasporto da sorgenti remote. Gelsomina Pappalardo CNR-IMAA

(Country Report) Saudi Arabia

Aerosol Composition and Radiative Properties

WMO SDS-WAS. Observational needs. Enric Terradellas, AEMET, Barcelona chair of the WMO SDS-WAS Steering Committtee

Aerosol-type-dependent lidar ratios observed with Raman lidar

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

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

2.5 COMPARING WATER VAPOR VERTICAL PROFILES USING CNR-IMAA RAMAN LIDAR AND CLOUDNET DATA

Satellite observation of atmospheric dust

AN INTENSIVE CASE OF SAHARAN DUST INTRUSION OVER SOUTH EAST ROMANIA

Dust prediction models

Aerosol Optical Depth Variation over European Region during the Last Fourteen Years

Vertical distribution of Saharan dust over Rome (Italy): Comparison between 3-year model predictions and lidar soundings

Research Article Identification of the Aerosol Types over Athens, Greece: The Influence of Air-Mass Transport

Big Bend Regional Aerosol & Visibility Observational Study

ESTIMATED DESERT-DUST ICE NUCLEI

Trends in the Saharan Air Layer Composition Observed at Izaña - Tenerife

Motivation. Objectives

Seasonal variability of aerosol optical properties observed by means of a Raman lidar at an EARLINET site over Northeastern Spain

How can high-resolution representation of the regional seas and aerosols modify regional climate change?

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

An Observational Study of the Relationship between Cloud, Aerosol and Meteorology in Marine Stratus Regions

Air mass modification over Europe: EARLINET aerosol observations from Wales to Belarus

Name of research institute or organization: École Polytechnique Fédérale de Lausanne (EPFL)

WMO SDS-WAS. Enric Terradellas (1), Sara Basart (2), Francesco Benincasa (2) and Gerardo García-Castrillo (1)

Manfred A. Lange Energy, Environment and Water Research Center The Cyprus Institute. M. A. Lange 11/26/2008 1

Optical properties of different aerosol types: seven years of combined Raman-elastic backscatter lidar measurements in Thessaloniki, Greece

Remote Sensing ISSN

EXTRACTION OF THE DISTRIBUTION OF YELLOW SAND DUST AND ITS OPTICAL PROPERTIES FROM ADEOS/POLDER DATA

in East Asia and West Pacific Ocean M.Yamada(NU), T.Nagatani(NU) D.Zhang(PUK), T.Shibata(NU)

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

Dual-Frequency Ku- Band Radar Mission Concept for Snow Mass

Mineral desert dust: Comparison. between Tel-Aviv University dust forecasts and PM10 data. 3-rd Year Lab course.

Saharan Dust Induced Radiation-Cloud-Precipitation-Dynamics Interactions

Regional dust model performance during SAMUM 2006

Micro pulse lidar observation of high altitude aerosol layers at Visakhapatnam located on the east coast of India

1 Fundamentals of Lidar

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

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

The CEOS Atmospheric Composition Constellation (ACC) An Example of an Integrated Earth Observing System for GEOSS

Aerosol physical and optical properties in the Eastern Mediterranean Basin, Crete, from Aerosol Robotic Network data

Contribution of vegetation changes to dust decadal variability and its impact on tropical rainfall asymmetry

Aerosol properties and radiative forcing for three air masses transported in Summer 2011 to Sopot, Poland

Aerosol Air Mass Distinctions over Jalisco using Multi-Angle Imaging Spectroradiometer

1.2 UTILIZING MODIS SATELLITE OBSERVATIONS IN NEAR-REAL-TIME TO IMPROVE AIRNow NEXT DAY FORECAST OF FINE PARTICULATE MATTER, PM2.5

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

INTERNATIONAL SAND & DUST STORM WARNING ADVISORY & ASSESSMENT SYSTEM

Three years of systematic lidar observations of Saharan dust outbreaks at Naples EARLINET station

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

UNIT 1. WEATHER AND CLIMATE. PRIMARY 4/ Social Science Pedro Antonio López Hernández

Raman and elastic lidar techniques for aerosol observation at CIAO

Ashraf S. Zakey The Egyptian Meteorological Autority

Transcription:

10 th Anniversary Systematic coordinated Saharan dust profiling over Europe in the frame of the EARLINET project (2000-2010) 2010) Alex PAPAYANNIS (Coordinator) and the EARLINET Team

Outline Role of aerosols in climate forcing EARLINET Network Correlative measurements- Validation tools Case study analysis (May 27-30, 2008) General results Conclusions

Role of aerosols in climatic forcing IPCC, 2007

Why dust aerosols are important Dust aerosols are produced in desert areas (e.g. Sahara desert) Dust aerosols interact dynamically in a nonlinear way (nucleation, condensation, coagulation, deposition) Dust aerosols can be transported over large distances (inter-continental transport) Systematic measurements m are needed to assess and improve the understanding of aerosol processes- transport-deposition and their treatment in models! Synergetic measurements are needed: - In situ measurements - Ground-based remote sensing (active/passive) measurements - Satellite (active/passive) measurements.

The EARLINET Network

Saharan dust outbreaks to Europe monitored by EARLINET Objectives Implementation of a routine monitoring scheme, for the observation on of specifically high aerosol loads in the lower troposphere, resulting from Saharan dust outbreaks. Methodology Perform correlative lidar-sun photometric supported by space-borne measurements (e.g. MODIS, CALIPSO, etc). Forecasting scheme Use dust forecasting models (BSC-DREAM8b, SKIRON) Coordination: National Technical Univ. of Athens (Warnings: 24-48 48 h)

Validation tools Air-mass back-trajectory analysis German Meteorological Service (DWD/GME Model) HYSPLIT Model, FLEXTRA/FLEXPART Models Satellite data analysis EP/TOMS & SeaWiFS data Sun photometer data analysis Aerosol Optical Depth (AOD) data Saharan dust events (2000-2010) 2010) > 3666 vertical profiles (extinction and backscatter profiles)

Definition of Saharan dust source regions 40 10 E 25 E -20-10 0 40 30 20 Arabian Peninsula 10 Western Sahara Foothills of Ahaggar and other mountains (Algeria, Mali, Niger) Central Sahara Bodele Depression (Lake Chad Basin) Eastern Sahara Foothills of the Red Sea Mountains (Sudan) Geographical lows and foothills, dry lakes and rivers mobilization of sediments of fine soil Prospero et al., 2002 Schepanski et al., 2007

Winter BSC-DREAM8b Model (2000-2009) 2009) Spring Summer Autumn

BSC-DREAM8b Model (2000-2009) 2009) Cross section over 33 o N, 10 o E 10 o E Winter 10 o E Spring 33 o N 33 o N Autumn Summer 10 o E 10 o E Autumn 33 o N 33 o N

BSC-DREAM8b Model (May 2000-April 2005) Potenza station 60 50 Lidar Dream Center of Mass (CoM) CoM Lidar = (4.5 ± 1.2) km CoM Dream = (4.4 ± 1.1) km 40 Aerosol Concentration [ µg m -3 ] 0 20 40 60 80 Counts 30 20 10 8 10 0 2 3 4 5 6 7 8 9 Layer Center of Mass a.s.l. [km] Altitude a.s.l. [km] 6 4 2 Aerosol concentration-aerosol extinction (355 nm) 0.0 5.0x10-5 1.0x10-4 1.5x10-4 Aerosol Extinction Coefficient @ 355 nm [m -1 ]

Seasonal variability of observed mean number of Saharan dust days (2000-2002) 40 Mean number of observed dust days 35 30 25 20 15 10 5 0 N NE Central W SW S SE Total Winter Spring Summer Fall Geographical sector Papayannis et al., J. Geophys. Res., 113, D10204, doi:10.1029/2007jd009028, 2008

240 Number of dust days 220 200 180 160 140 120 100 80 60 40 20 0 AT LCTHPONA BA LA SF JU NE GPMU PL LE BE ABHHMI KBLK EARLINET Station Observed Forecasted (%) of observed to forecasted number of days Papayannis et al., J. Geophys. Res., 113, D10204, doi:10.1029/2007jd009028, 2008

Number of dust profiles b aer,a aer (2000-2010) 600 500 400 300 200 100 0 TOTAL DJF-WINTER MAM-SPRING JJA-SUMMER SON-AUTUMN at ba bu ku la lc le mi na ne pa po so th EARLINET Station Name

0.6 100 90 Mean Aerosol Optical Depth 0.5 0.4 0.3 0.2 0.1 Mean Lidar Ratio (sr) 80 70 60 50 40 30 20 10 0.0 PO(1550) NA(1570) LA(1590) LC(1650) AT(1800) TH(1900) LE(2450) KB(2550) EARLINET Station 0 PO(1550) NA(1570) LA(1590) LC(1650) AT(1800) TH(1900) LE(2450) KB(2550) EARLINET Station Mean AOD and LR inside the dust layer (351/355 nm) as a function of distance from the Saharan region (2000-2002) Papayannis et al., J. Geophys. Res., 113, D10204, doi:10.1029/2007jd009028, 2008

7000 Raman nighttime measurements at 351/355nm Height a.s.l. (m) 6000 5000 4000 3000 2000 AT (15) KB (6) LA (27) LC (45) LE (11) NA (53) PO (38) TH (6) 1000 0 0.0 2.0x10-4 4.0x10-4 0.0 5.0x10-6 1.0x10-5 0 20 40 60 80 100 0 20 40 60 80 100 Extinction Coefficient (m -1 ) Backscatter Coefficient (m -1 sr -1 ) Lidar Ratio (sr) Lidar Ratio Standard Deviation (sr) Papayannis et al., J. Geophys. Res., 113, D10204, doi:10.1029/2007jd009028, 2008

Possible Pathways of Saharan Dust Transport over Europe 5 1 2 3 4 3 1: ~20 % 2: ~ 35 % 3: ~ 30 % 4: ~ 5 % 5: ~ 10 %

EARLINET Correlative Measurements CASE STUDY ANALYSIS: May 27-30, 2008 Saharan dust transport over Europe Synergy of various sensors + Validation tools: Active/Passive sensors: Lidar - CALIOP - SeaWiFS, CIMEL Dust Forecast Modeling: BSC-DREAM8b Air Mass Trajectory Computation: HYSPLIT 4.6 code FLEXTRA/FLEXPART

BSC-DREAM8b Model: Aerosol Optical Depth (AOD) @ 550 nm (Winds @ 3000 m) May 27, 2008 May 28, 2008 Athens Munich, Leipzig Sofia Potenza, Belsk May 29, 2008 May 30, 2008

Hysplit 4.6 Air Mass Trajectory Model Athens Leipzig Sofia Potenza May 27, 2008 May 28, 2008 May 29, 2008 May 30, 2008 SeaWiFS data

FLEXPART footprint (2000 m) Leipzig, 30 May 2008

FLEXPART footprint (2000 m) Potenza, 17 May 2008

FLEXPART footprint (2000 m) Potenza, 17 May 2008

FLEXPART footprint (2000 m) Belsk, 30 May 2008

FLEXTRA Air Mass Trajectory Model May 27, 2008 May 28, 2008 May 29, 2008 May 30, 2008 Athens (1.5,5 km) Leipzig (1.5,5 km) Sofia (3 km) Potenza (3 km) CIMEL AOD data

BSC-DREAM8b: Vertical cross-section across the CALIOP orbit Dust traces 5 May 27, 00:36-00:49 UT Athens EARLINETASOS-GALION Meeting, Geneva, 2020-23 September 2010 1064 nm

CALIOP 10 5 5 km 10 km 1064 nm Munich BSC-DREAM8b 10 km 7 5 km 5 May 28, 12:26-12:40 UT Leipzig

CALIOP Dust traces BSC-DREAM8b Sofia 3km 510 nm 3 km May 29, 11:31-11:44 UT

CALIOP 4 km 5-6 km 1-3 km 1064 nm Belsk BSC-DREAM8b Potenza 1064 nm May 30, 01:07-01:21 UT

Leipzig L Aquila Potenza Pappalardo et al., J. Geophys. Res., 115, D00H19, doi:10.1029/2009jd012147, 2010 Level 2 CALIOP data

Conclusions (dust event May 2008) We analyzed a strong dust event over the European continent (May 27-30, 2008) using a synergy of ground-based EARLINET lidars and CALIOP, as well as space-borne sensors and dust models (3-dimensional crosssection). The comparison between the BSC-DREAM8b 3-D profiles and the CALIOP & EARLINET aerosol vertical profiles shows a good (at least qualitative) agreement concerning the location in time and space - of the various dust layers detected.

Conclusions - Dust layer thickness (0.2-7.5 km); Mean value (1.5-3.4 km) - Dust layer center of mass (0.85-8 km asl.); Mean value (2.5-6 km) - Dust aerosols can penetrate deeply up to central, Eastern and Northern Europe (up to 8-10 km height asl., where may co-exist with clouds) - Transport time (typically 2-5 days) - Lidar ratios (ranges): 30-100 sr (including mixtures of dust with other particles) - Mean lidar ratios: 49±10 sr (355 nm), 56±7 sr (532 nm) -Mean AOD (0.1-0.25) inside the dust layer -TOMS Aerosol Index (AI) values: 3-3.5 (Mediterranean Region), 1-2.5 (Central Europe) - Maximum of dust outbreaks: South-South-Eastern Europe: * Summer, autumn and spring period (S-SE Europe) * Spring and summer (SW, central Europe)

Acknowledgements: All colleagues from the EARLINET TEAM (with Special thanks to Anja Hiebsch and Lucia Mona and Rodelize Mamouri). Prof. J.M. Baldasano and Dr. Sara Basart (BSC-DREAM8b model); NOAA-ARL (Hysplit code); Dr. Andreas Stohl (FLEXTRA data); AERONET (CIMEL data); SeaWIFS (NASA). This work was funded by the EU-FP5 (EARLINET project: EVR1- CT1999-40003), EU-FP6 ( project: RICA-025991] and the European Space Agency (ESA) under contract AO/1-5502/07/NL/HE.