VERTICAL PROFILING OF AEROSOL TYPES OBSERVED ACROSS MONSOON SEASONS WITH A RAMAN LIDAR IN PENANG ISLAND, MALAYSIA

Similar documents
An Analysis of Aerosol Optical Properties During Seasonal Monsoon Circulation

First water vapor measurements over Athens, Greece, obtained by a combined Raman-elastic backscatter lidar system.

Radiation in the atmosphere

What are Aerosols? Suspension of very small solid particles or liquid droplets Radii typically in the range of 10nm to

Characterization of free-tropospheric aerosol layers from different source regions

First water vapor measurements over Athens, Greece, obtained by a combined Raman-elastic backscatter lidar system

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

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

Regional Air Quality Monitoring and Forecasting using Remote Sensing Satellites, Ground-level Measurements and Numerical Modelling

Exploring the Atmosphere with Lidars

ATMOSPHERIC ENERGY and GLOBAL TEMPERATURES. Physical Geography (Geog. 300) Prof. Hugh Howard American River College

Remote Sensing of Atmospheric Particles Using LIDAR, Calipso Satellite, & AERONET: Algorithm Development

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

Haze event monitoring and investigation in Penang Island, Malaysia using a ground-based backscatter Lidar

l-- 0 Daytime Raman Lidar Measurements of Water Vapor During the ARM 1997 Water Vapor Intensive Observation Period D.D. Turner' and J.E.M.

Monitoring of air pollution and atmospheric parameters using a mobile backscatter lidar system

Observation of Aerosols and Clouds Using a Two-Wavelength Polarization Lidar during the Nauru99 Experiment

Lecture 3. Background materials. Planetary radiative equilibrium TOA outgoing radiation = TOA incoming radiation Figure 3.1

Radiation Fluxes During ZCAREX-99: Measurements and Calculations

Raman and elastic lidar techniques for aerosol observation at CIAO

Lecture 11: Doppler wind lidar

GEO1010 tirsdag

Atmospheric Lidar The Atmospheric Lidar (ATLID) is a high-spectral resolution lidar and will be the first of its type to be flown in space.

>

Radiative effects of desert dust on weather and climate

Lidar and radiosonde measurement campaign for the validation of ENVISAT atmospheric products

Lecture 4: Radiation Transfer

The NASA Micro-Pulse Lidar Network (MPLNET)

Impacts of Wildfires on Particulate Matter in Pima County, Arizona

Ground-based Validation of spaceborne lidar measurements

OPTICAL MEASUREMENT OF ASIAN DUST OVER DAEJEON CITY IN 2016 BY DEPOLARIZATION LIDAR IN AD-NETWORK

TWO-WAVELENGTH LIDAR INSTRUMENT FOR ATMOSPHERIC AEROSOL STUDY. David Swick Hoffman

The inputs and outputs of energy within the earth-atmosphere system that determines the net energy available for surface processes is the Energy

Earth is tilted (oblique) on its Axis!

PoS(ICRC2015)641. Cloud Monitoring using Nitrogen Laser for LHAASO Experiment. Z.D. Sun 1,Y. Zhang 2,F.R. Zhu 1 for the LHAASO Collaboration

Lecture 31. Constituent Lidar (3)

Interannual variability of top-ofatmosphere. CERES instruments

Spectrum of Radiation. Importance of Radiation Transfer. Radiation Intensity and Wavelength. Lecture 3: Atmospheric Radiative Transfer and Climate

Lecture 3: Atmospheric Radiative Transfer and Climate

Optical characterization of continental and biomass burning aerosols over Bozeman, Montana: A case study of the aerosol direct effect

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

A new lidar for water vapor and temperature measurements in the Atmospheric Boundary Layer

Study of the Influence of Thin Cirrus Clouds on Satellite Radiances Using Raman Lidar and GOES Data

Multi-instrumental study of aerosol optical properties over the city of Sao Paulo: Lidar, sunphotometer and CALIPSO satellite

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

Lecture 5: Greenhouse Effect

Lecture 5: Greenhouse Effect

NTUA. Physics Department, National Technical University of Athens. June IPRD10,, Siena, Italy S. Maltezos SIENA ITALY

1. Weather and climate.

Laser Radar: A Technique for Studying the Atmosphere

Lecture 14. Principles of active remote sensing: Lidars. Lidar sensing of gases, aerosols, and clouds.

correspondence Science Center, SRI International, Menlo Park, Calif FIG. 1. Los Angeles area flight paths, 16 December 1979.

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

Low Arabian dust extinction-to-backscatter ratio

Design of a High Spectral Resolution Lidar for Atmospheric Monitoring in EAS Detection Experiments

Final Exam: Monday March 17 3:00-6:00 pm (here in Center 113) Slides from Review Sessions are posted on course website:

J3.4 RAMAN LIDAR: A VERSATILE REMOTE SENSING INSTRUMENT FOR WATER VAPOR AND CIRRUS CLOUD STUDIES

All objects emit radiation. Radiation Energy that travels in the form of waves Waves release energy when absorbed by an object. Earth s energy budget

Surface temperature what does this data tell us about micro-meteorological processes?

Air Pollution Meteorology

Preliminary Observations

Common Elements: Nitrogen, 78%

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

Insolation and Temperature variation. The Sun & Insolation. The Sun (cont.) The Sun

Atmospheric Composition and Structure

ACTRIS TNA Activity Report

Spaceborne Aerosol and Ozone Lidars for Air Quality Applications

Surface UV Irradiance Obtained by Ozone Monitoring Instrument (OMI) Over Peninsular Malaysia

Lecture 33. Aerosol Lidar (2)

Spatial Variability of Aerosol - Cloud Interactions over Indo - Gangetic Basin (IGB)

Climate Feedbacks from ERBE Data

Observation of Tropospheric Aerosol Using Mie Scattering LIDAR at Srisamrong, Sukhothai Province

The Atmosphere. Topic 3: Global Cycles and Physical Systems. Topic 3: Global Cycles and Physical Systems. Topic 3: Global Cycles and Physical Systems

Lecture 2: Global Energy Cycle

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

Polar regions Temperate Regions Tropics High ( cirro ) 3-8 km 5-13 km 6-18 km Middle ( alto ) 2-4 km 2-7 km 2-8 km Low ( strato ) 0-2 km 0-2 km 0-2 km

Stratospheric and Upper Tropospheric Aerosols over 22 Years at 45 South

Clouds, Precipitation and their Remote Sensing

Why is it difficult to predict climate? Understanding current scientific challenges

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

Remote Sensing ISSN

Deriving aerosol scattering ratio using range-resolved lidar ratio

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

, analogous to an absorption coefficient k a

Discussion Review Test #2. Units 12-19: (1) (2) (3) (4) (5) (6)

Atmospheric Radiation

Principles of active remote sensing: Lidars and lidar sensing of aerosols, gases and clouds.

Atmospheric aerosol characterization in the urban area of Napoli

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

Environmental Fluid Dynamics

Development of a NYC Meteorological Network with Emphasis on Vertical Wind Profiles in Support of Meteorological and Dispersion Models

( 1 d 2 ) (Inverse Square law);

8. Clouds and Climate

Lecture 05. Fundamentals of Lidar Remote Sensing (3)

Understanding the Greenhouse Effect

Changes in Earth s Albedo Measured by satellite

Using remotely sensed data to quantify the characteristics of Southeast Asian forest 7ires. Xi Xi Yuk Lunch Seminar at Caltech July 9, 2013

Mesoscale Modeling of Dust and Smoke Transport: How Geostationary Satellite Can Help?

Climate 1: The Climate System

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

Transcription:

VERTICAL PROFILING OF AEROSOL TYPES OBSERVED ACROSS MONSOON SEASONS WITH A RAMAN LIDAR IN PENANG ISLAND, MALAYSIA Presentation by: Assoc Prof Dr. Lim Hwee San School of Physics, Universiti Sains Malaysia (USM) hslim@usm.my

Presentation Outline INTRODUCTION STUDY AREA INSTRUMENTATION METHODOLOGY RESULTS AND DISCUSSION SUMMARY AND CONCLUSIONS

INTRODUCTION Aerosols have attracted a substantial research interest over the last few decades. One reason is because aerosols are actively involved in global climate change. The National Aeronautics and Space Administration (NASA) Aerosol Robotic Network (AERONET) is a ground-based federated network of sunphotometers deployed all over the world since the 90 s (http://aeronet.gsfc.nasa.gov). Various research endeavors have been conducted by synergizing the lidar measurements with the sunphotometer measurements.

INTRODUCTION However, results from this approach poorly resemble the actual atmospheric conditions, as only a single-valued, range-independent atmospheric parameter is obtained, such as the lidar ratio, while in fact, there might be several atmospheric layers that exist in the atmosphere. Therefore, the Raman lidar is preferred to study the actual atmospheric conditions as it resolves independently the extinction and backscattering coefficients, providing a direct measurement of the lidar ratio atmospheric profile, with respect to the singlewavelength elastic-backscatter lidar.

INTRODUCTION In this study, a Raman lidar was used to measure the range-dependent lidar ratio in Penang Island, Malaysia, and the corresponding aerosol types at various altitudes in the atmosphere were determined. In addition, the dominant aerosol types during different monsoon seasons were studied as well because this research was conducted from the end of the Northeast monsoon season until the beginning of the Southwest monsoon season. The Raman lidar findings are then validate with AERONET sun-photometer data and the aerosols radiative effect is evaluated with the Fu-Liou-Gu radiative transfer model.

STUDY AREA The lidar was setup on the roof top of the School of Physics, at the Universiti Sains Malaysia, Penang, Malaysia (5 21 30.06 N, 100 18 8.1 E, 51 m above mean sea level (AMSL). Fig. 1, a topographic map produced from the global digital elevation model (GDEM), shows the high-mountain and low-plain regions of Penang Island.

INSTRUMENTATION The Raman Lidar, model number ALS320-ESS-D200 used in this study, was manufactured by Raymetrics S.A. at Athens, Greece. The Raman lidar consists of a Nd:YAG tripled laser emitting pulsed radiation at 355 nm, with a repetition rate of 20 Hz. The outgoing laser pulse is collimated with a beam expander, which expands the beam diameter up to 10 times before sending it into the atmosphere. A 20-cm diameter Cassegrainian telescope was responsible for collecting the radiation backscattered from both atmospheric particles via elastic scattering and nitrogen gas via inelastic scattering through the vibrational-rotational Raman band of nitrogen at 387 nm.

INSTRUMENTATION Both the elastic and Raman lidar backscattered signals are separated by a dichroic mirror and interference filters. All of the signals, recorded with photomultiplier tubes in analogue and photon-counting mode, are stored at 1 min temporal resolution and 7.5 m spatial resolution, respectively.

METHODOLOGY In this study, a Raman lidar was used to measure the range-dependent lidar ratio in Penang Island, Malaysia, and the corresponding aerosol types at various altitudes in the atmosphere were determined. In addition, the dominant aerosol types during different monsoon seasons were studied as well because this research was conducted from the end of the Northeast monsoon season until the beginning of the Southwest monsoon season. The Raman lidar findings are then validate with AERONET sun-photometer data and the aerosols radiative effect is evaluated with the Fu-Liou-Gu radiative transfer model.

RESULTS AND DISCUSSION Range-dependent lidar ratio variation over the study period Fig. 2 show the mean lidar ratio over the 500-1000 m layer and 1000-1500 m layer.

RESULTS AND DISCUSSION Range-dependent lidar ratio variation over the study period Fig. 3 show the mean lidar ratio over the 1500-2000 m layer, 2000-2500 m layer and 2500-3000 m layer, with the black vertical lines marking the boundaries of different monsoon seasons.

RESULTS AND DISCUSSION Raman Lidar Measurements of the March 2014 Haze Episode Fig. 4(a-d) shows the lidar ratio profile with increasing height for 3/3/2014 at 1200 UTC, 3/3/2014 at 1500 UTC, 3/3/2014 at 1800 UTC and 4/3/2014 at 1200 UTC, respectively.

RESULTS AND DISCUSSION Radiative Effects Of Background And Advected Aerosols The radiative effects of background and transported aerosols are evaluated with the FLG radiative transfer model. An accurate description of the model can be found in Lolli et al., 2016 and in Campbell et al., 2016. The FLG model evaluated the daily averaged radiative effect (calculated as the difference between aerosol and pristine condition cases) at surface for three different measured aerosol profiles: 1. Background marine-polluted aerosols confined in the PBL (0-1000m) 2. Same as 1), but with smoke advected aloft (1000-1500m) 3. Entire column dominated by smoke (haze episode, 0-3000m)

RESULTS AND DISCUSSION Radiative Effects Of Background And Advected Aerosols The results are reported in Table 1 Table 1 FLG radiative model results for different aerosol configurations at surface The shortwave component (SW) is order of magnitude bigger than outgoing infrared longwave component (LW). For haze conditions, the presence of thick biomass-burning aerosol layer can cool the surface of -113 W/m 2 in average. Aerosol configuration SFC Forcing (W/m 2 ) 1-24 2-66.2 3-113

RESULTS AND DISCUSSION Radiative Effects Of Background And Advected Aerosols

SUMMARY AND CONCLUSIONS In conclusion, the Raman lidar measurements found that background aerosols in Penang Island consist of marine and urban aerosols, with lidar ratio values ranging from approximately 20 ± 6 sr to 30 ± 9 sr and 30 ± 9 sr to 60 ± 18 sr, respectively. Additionally, wood burning aerosols (60 ± 18 sr to 80 ± 24 sr) and aged forest fire aerosols (80 ± 24 sr to 120 ± 36 sr) were present when pollution events occurred. Throughout the monsoon season, the background marine and urban aerosols were found during the study period, whereas wood burning and aged forest fire aerosols were found during early March 2014 (approaching the end of the Northeast monsoon season) and June 2014 (the beginning of the Southwest monsoon season).

SUMMARY AND CONCLUSIONS These pollution events consisting of smoke aerosols were found during periods of very hot and dry meteorological conditions, despite these periods occuring during the monsoon season. Therefore, the type of aerosol present over Penang is not related to the monsoon season, rather the meteorological conditions associated with biomass burning. Finally, the Raman lidar measurements during the haze episode showed that during the development phase of the haze episode, wood burning aerosols were dominant in the entire atmospheric column. When the haze began to subside, background urban aerosols were detected together with wood burning aerosols.

SUMMARY AND CONCLUSIONS After the haze subsided, wood burning aerosols were no longer detected in the atmosphere; however, aged forest fire aerosols were dominant in the entire atmospheric column. A few days were required before these aged forest fire aerosols completely dispersed from the atmosphere. Radiative transfer calculations put in evidence a strong cooling effect at surface of advected biomass-burning aerosol layers. However, this study is a localized study. Hence, the results only apply to Penang Island, not the general atmosphere in other region of the world.

THANK YOU ขอบค ณ Terima Kasih