Profiling of Aerosols and Clouds over High Altitude Urban Atmosphere in Eastern Himalaya: A Ground-Based Observation Using Raman LIDAR

Profiles of aerosols and cloud layers have been investigated over a high-altitude urban atmosphere in the eastern Himalayas in India, for the first time, using a Raman LIDAR. The study was conducted post-monsoon season over Darjeeling (latitude 27°01′ N longitude 88°36′ E, 2200 masl), a tourist destination in north-eastern India. In addition to the aerosols and cloud characterization and atmospheric boundary layer detection, the profile of the water vapor mixing ratio has also been analyzed. Effects of atmospheric dynamics have been studied using the vertical profiles of the normalized standard deviation of RCS along with the water vapor mixing ratio. The aerosol optical characteristics below and above the Atmospheric Boundary Layer (ABL) region were studied separately, along with the interrelation of their optical and microphysical properties with synoptic meteorological parameters. The backscatter coefficient and the extinction coefficient were found in the range from 7.15×10−10 m−1 sr−1 to 3.01×10−5 m−1 sr−1 and from 1.02×10−5 m−1 to 2.28×10−3 m−1, respectively. The LIDAR ratio varies between 3.9 to 78.39 sr over all altitudes. The variation of the linear depolarization ratio from 0.19 to 0.32 indicates the dominance, of non-spherical particles. The periodicity observed in different parameters may be indicative of atmospheric wave phenomena. Cloud parameters, such as scattering coefficients, top and bottom height, and optical depth for different cloud phases, have been evaluated. A co-located Micro Rain Radar has been used with LIDAR for cloud life cycle study.

[1]  W. Gong,et al.  A Cluster Analysis Approach for Nocturnal Atmospheric Boundary Layer Height Estimation from Multi-Wavelength Lidar , 2023, Atmosphere.

[2]  G. Vivone,et al.  Atmospheric Boundary Layer Height: Inter-Comparison of Different Estimation Approaches Using the Raman Lidar as Benchmark , 2023, Remote. Sens..

[3]  P. Goloub,et al.  Retrieval of Aerosol Microphysical Properties from Multi-Wavelength Mie-Raman Lidar Using Maximum Likelihood Estimation: Algorithm, Performance, and Application , 2022, Remote. Sens..

[4]  A. Borovoi,et al.  Depolarization Ratio for Randomly Oriented Ice Crystals of Cirrus Clouds , 2022, Atmosphere.

[5]  A. Borovoi,et al.  Coherent Backscattering by Large Ice Crystals of Irregular Shapes in Cirrus Clouds , 2022, Atmosphere.

[6]  P. Goloub,et al.  Identification of typical dust sources in Tarim Basin based on multi-wavelength Raman polarization lidar , 2022, Atmospheric Environment.

[7]  Fuchao Liu,et al.  Mega Asian dust event over China on 27–31 March 2021 observed with space-borne instruments and ground-based polarization lidar , 2022, Atmospheric Environment.

[8]  E. Landulfo,et al.  Performance assessment of aerosol-lidar remote sensing skills to retrieve the time evolution of the urban boundary layer height in the Metropolitan Region of São Paulo City, Brazil , 2022, Atmospheric Research.

[9]  E. O'connor,et al.  Numerical Weather Predictions and Re-Analysis as Input for Lidar Inversions: Assessment of the Impact on Optical Products , 2022, Remote. Sens..

[10]  A. Tyagi,et al.  Mountain waves over Himalayas , 2022, MAUSAM.

[11]  S. Gautam,et al.  Atmospheric Aerosols: Some Highlights and Highlighters, Past to Recent Years , 2022, Aerosol Science and Engineering.

[12]  Jaswant,et al.  Study of variation of aerosol optical properties over a high altitude station in Indian Western Himalayan region, palampur using raman lidar system , 2022, Journal of Atmospheric Chemistry.

[13]  R. Mirzoyan,et al.  Characterizing the aerosol atmosphere above the Observatorio del Roque de los Muchachos by analyzing seven years of data taken with an GaAsP HPD-readout, absolutely calibrated elastic LIDAR , 2022, Monthly Notices of the Royal Astronomical Society.

[14]  S. Gautam,et al.  Classification of Different Sky Conditions Based on Solar Radiation Extinction and the Variability of Aerosol Optical Depth, Angstrom Exponent, Fine Particles Over Tehri Garhwal, Uttarakhand, India , 2022, MAPAN.

[15]  Fuchao Liu,et al.  Ice Nucleation of Cirrus Clouds Related to the Transported Dust Layer Observed by Ground-Based Lidars over Wuhan, China , 2022, Advances in Atmospheric Sciences.

[16]  S. V. Samoilova,et al.  Retrieval of tropospheric aerosol parameters from the data of lidar sensing , 2021, Atmospheric and Ocean Optics.

[17]  Qianshan He,et al.  Distinct impacts of humidity profiles on physical properties and secondary formation of aerosols in Shanghai , 2021, Atmospheric Environment.

[18]  S. Gautam,et al.  Heavy metal concentration and its distribution analysis in urban road dust: A case study from most populated city of Indian state of Uttarakhand. , 2021, Spatial and spatio-temporal epidemiology.

[19]  Shi-chang Kang,et al.  Vertical profile of aerosols in the Himalayas revealed by lidar: New insights into their seasonal/diurnal patterns, sources, and transport. , 2021, Environmental pollution.

[20]  Prashant Kumar,et al.  A case study on the vertical distribution and characteristics of aerosols using ground-based raman lidar, satellite and model over Western India , 2021 .

[21]  G. Basha,et al.  Is the atmospheric boundary layer altitude or the strong thermal inversions that control the vertical extent of aerosols? , 2021, The Science of the total environment.

[22]  D. Rao,et al.  Vertical distributions and columnar properties of the aerosols during different seasons over Kattankulathur (12.82oN, 80.04oE): A semi-urban tropical coastal station , 2021, Atmospheric Environment.

[23]  Haoran Liu,et al.  Quantify the Contribution of Dust and Anthropogenic Sources to Aerosols in North China by Lidar and Validated with CALIPSO , 2021, Remote. Sens..

[24]  Tomoaki Nishizawa,et al.  Assessing CALIOP-Derived Planetary Boundary Layer Height Using Ground-Based Lidar , 2021, Remote. Sens..

[25]  S. Sharma,et al.  Size-segregated aerosols over a high altitude Himalayan and a tropical urban metropolis in Eastern India: Chemical characterization, light absorption, role of meteorology and long range transport , 2021 .

[26]  Wei Gao,et al.  Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements , 2021 .

[27]  A. Papayannis,et al.  Radiative Effect and Mixing Processes of a Long-Lasting Dust Event over Athens, Greece, during the COVID-19 Period , 2021, Atmosphere.

[28]  Michaël Sicard,et al.  A Comparative Analysis of Aerosol Optical Coefficients and Their Associated Errors Retrieved from Pure-Rotational and Vibro-Rotational Raman Lidar Signals , 2021, Sensors.

[29]  M. Naja,et al.  Micro-Pulse Lidar observations of elevated aerosol layers over the Himalayan region , 2021 .

[30]  K. Lehtinen,et al.  Lidar depolarization ratio of atmospheric pollen at multiple wavelengths , 2020, Atmospheric Chemistry and Physics.

[31]  Siying Chen,et al.  A novel lidar gradient cluster analysis method of nocturnal boundary layer detection during air pollution episodes , 2020 .

[32]  Y. Kumar,et al.  An Investigation of the Elevated Aerosol Layer Using a Polarization Lidar Over a Tropical Rural Site in India , 2020, Boundary-Layer Meteorology.

[33]  C. Böckmann,et al.  Retrieval of Arctic Particle Microphysics from Air-Borne LiDAR and Sun-Photometer Data , 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

[34]  I. Tan,et al.  Determining cloud thermodynamic phase from the polarized Micro Pulse Lidar , 2020, Atmospheric Measurement Techniques.

[35]  G. Baumgarten,et al.  A Method for Retrieving Stratospheric Aerosol Extinction and Particle Size from Ground-Based Rayleigh-Mie-Raman Lidar Observations , 2020, Atmosphere.

[36]  S. Ghosh,et al.  Study of fair weather surface atmospheric electric field at high altitude station in Eastern Himalayas , 2020 .

[37]  S. Das,et al.  Quantification of long-range transported aeolian dust towards the Indian peninsular region using satellite and ground-based data - A case study during a dust storm over the Arabian Sea , 2020 .

[38]  Dong Liu,et al.  Determination of Planetary Boundary Layer height with Lidar Signals Using Maximum Limited Height Initialization and Range Restriction (MLHI-RR) , 2020, Remote. Sens..

[39]  R. Engelmann,et al.  Automatic Lidar Calibration and Processing Program for Multiwavelength Raman Polarization Lidar , 2020, EPJ Web of Conferences.

[40]  Timothy J. Schmit,et al.  Evaluation of the Diurnal Variation of Upper Tropospheric Humidity in Reanalysis Using Homogenized Observed Radiances from International Geostationary Weather Satellites , 2020, Remote. Sens..

[41]  Nellore Manoj Kumar,et al.  Lidar Observed Optical Properties of Tropical Cirrus Clouds Over Gadanki Region , 2020, Frontiers in Earth Science.

[42]  V. Sreekanth,et al.  Spaceborne lidar retrieved composite and speciated aerosol extinction profiles and optical depths over India: A decade of observations , 2020 .

[43]  M. Komppula,et al.  Variability in cirrus cloud properties using a PollyXT Raman lidar over high and tropical latitudes , 2020 .

[44]  Jaswant,et al.  Initial assessment of lidar signal and the first result of a Raman lidar installed at a high altitude station in India , 2020 .

[45]  E. O'connor,et al.  Optical and geometrical aerosol particle properties over the United Arab Emirates , 2020, Atmospheric Chemistry and Physics.

[46]  Nikolaos S. Bartsotas,et al.  The potential of elastic and polarization lidars to retrieve extinction profiles , 2020 .

[47]  T. K. Mandal,et al.  Seasonal Variation of OC, EC, and WSOC of PM10 and Their CWT Analysis Over the Eastern Himalaya , 2020, Aerosol Science and Engineering.

[48]  N. Cao,et al.  Inversion of aerosol extinction coefficient by Raman-Mie scattering lidar , 2020 .

[49]  R. Sica,et al.  A Raman lidar tropospheric water vapour climatology and height-resolved trend analysis over Payerne, Switzerland , 2020, Atmospheric Chemistry and Physics.

[50]  P. Bosser,et al.  Validation of the Water Vapor Profiles of the Raman Lidar at the Maïdo Observatory (Reunion Island) Calibrated with Global Navigation Satellite System Integrated Water Vapor , 2019, Atmosphere.

[51]  C. von Savigny,et al.  Year-round stratospheric aerosol backscatter ratios calculated from lidar measurements above northern Norway , 2019, Atmospheric Measurement Techniques.

[52]  Shuwen Zhang,et al.  A Review of Techniques for Diagnosing the Atmospheric Boundary Layer Height (ABLH) Using Aerosol Lidar Data , 2019, Remote. Sens..

[53]  N. Cao,et al.  Correction of the Fernald Method Using Real-Time Average Lidar Ratios with Mie–Rayleigh–Raman Lidar , 2019, Journal of Applied Spectroscopy.

[54]  N. Cao,et al.  Accurate inversion of tropospheric aerosol extinction coefficient profile by Mie-Raman lidar , 2019, Optik.

[55]  I. Tan,et al.  The Role of Thermodynamic Phase Shifts in Cloud Optical Depth Variations With Temperature , 2019, Geophysical Research Letters.

[56]  Stephen G. Warren,et al.  Optical properties of ice and snow , 2019, Philosophical Transactions of the Royal Society A.

[57]  S. Ghosh,et al.  Factors controlling the long-term (2009-2015) trend of PM2.5 and black carbon aerosols at eastern Himalaya, India. , 2019, The Science of the total environment.

[58]  Christoph Ritter,et al.  Water Vapor Calibration: Using a Raman Lidar and Radiosoundings to Obtain Highly Resolved Water Vapor Profiles , 2019, Remote. Sens..

[59]  W. Eichinger,et al.  Investigation of Aerosol Properties and Structures in Two Representative Meteorological Situations over the Vipava Valley Using Polarization Raman LiDAR , 2019, Atmosphere.

[60]  LI Chengcai,et al.  Retrieval of aerosol profiles by Raman lidar with dynamic determination of the lidar equation reference height , 2019, Atmospheric Environment.

[61]  Wei Gong,et al.  Improved two-wavelength Lidar algorithm for retrieving atmospheric boundary layer height , 2019, Journal of Quantitative Spectroscopy and Radiative Transfer.

[62]  Francisco José Olmo Reyes,et al.  Analyzing the turbulent planetary boundary layer by remote sensing systems: the Doppler wind lidar, aerosol elastic lidar and microwave radiometer , 2019, Atmospheric Chemistry and Physics.

[63]  Yuehui Song,et al.  Aerosol Microphysical Particle Parameter Inversion and Error Analysis Based on Remote Sensing Data , 2018, Remote. Sens..

[64]  Lei Liu,et al.  Accuracy Analysis of the Aerosol Backscatter Coefficient Profiles Derived from the CYY-2B Ceilometer , 2018, Advances in Meteorology.

[65]  Nobuo Sugimoto,et al.  Retrieval of Aerosol Components Using Multi-Wavelength Mie-Raman Lidar and Comparison with Ground Aerosol Sampling , 2018, Remote. Sens..

[66]  Zaihong Hou,et al.  Small-scale Scheimpflug lidar for aerosol extinction coefficient and vertical atmospheric transmittance detection. , 2018, Optics express.

[67]  Dong Liu,et al.  Retrieval method of aerosol extinction coefficient profile based on backscattering, side-scattering and Raman-scattering lidar , 2018 .

[68]  Tianshu Zhang,et al.  Scanning vertical distributions of typical aerosols along the Yangtze River using elastic lidar. , 2018, The Science of the total environment.

[69]  Iwona S. Stachlewska,et al.  Temporal variations in optical and microphysical properties of mineral dust and biomass burning aerosol derived from daytime Raman lidar observations over Warsaw, Poland , 2017 .

[70]  Fabien Marnas,et al.  Raman Lidar Observations of Aerosol Optical Properties in 11 Cities from France to Siberia , 2017, Remote. Sens..

[71]  S. Ghosh,et al.  A study on aerosol-cloud condensation nuclei (CCN) activation over eastern Himalaya in India , 2017 .

[72]  Nobuo Sugimoto,et al.  Ground-based network observation using Mie-Raman lidars and multi-wavelength Raman lidars and algorithm to retrieve distributions of aerosol components , 2017 .

[73]  S. Ghosh,et al.  Precipitation chemistry over urban, rural and high altitude Himalayan stations in eastern India , 2016 .

[74]  Wei Gong,et al.  Evaluating the Governing Factors of Variability in Nocturnal Boundary Layer Height Based on Elastic Lidar in Wuhan , 2016, International journal of environmental research and public health.

[75]  Jens Borken-Kleefeld,et al.  Global anthropogenic emissions of particulate matter including black carbon , 2016 .

[76]  R. Sagar,et al.  Doppler Lidar Observations over a High Altitude Mountainous Site Manora Peak in the Central Himalayan Region , 2016 .

[77]  Wei Gong,et al.  Measurement and Study of Lidar Ratio by Using a Raman Lidar in Central China , 2016, International journal of environmental research and public health.

[78]  Chengxing Zhai,et al.  An assessment of upper troposphere and lower stratosphere water vapor in MERRA, MERRA2, and ECMWF reanalyses using Aura MLS observations , 2015 .

[79]  J. Bühl,et al.  Strong aerosol-cloud interaction in altocumulus during updraft periods: lidar observations over central Europe , 2015 .

[80]  Weiqi Wang,et al.  Improved method for retrieving the aerosol optical properties without the numerical derivative for Raman-Mie lidar , 2015 .

[81]  G. Avdikos Powerful Raman Lidar systems for atmospheric analysis and high-energy physics experiments , 2015 .

[82]  Narendra Singh,et al.  LiDAR observations of the vertical distribution of aerosols in free troposphere: Comparison with CALIPSO level-2 data over the central Himalayas , 2014 .

[83]  H. Gadhavi,et al.  Characteristics of cirrus clouds and tropical tropopause layer: Seasonal variation and long-term trends , 2014 .

[84]  P. Achtert,et al.  Long-term lidar observations of wintertime gravity wave activity over northern Sweden , 2014 .

[85]  D. Müller,et al.  Retrieval of the single scattering albedo of Asian dust mixed with pollutants using lidar observations , 2014, Advances in Atmospheric Sciences.

[86]  Francesc Rocadenbosch,et al.  Atmospheric Boundary Layer Height Monitoring Using a Kalman Filter and Backscatter Lidar Returns , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[87]  M. McCormick,et al.  Improved method to retrieve aerosol optical properties from combined elastic backscatter and Raman lidar data , 2014 .

[88]  Dong Liu,et al.  A new cloud and aerosol layer detection method based on micropulse lidar measurements , 2014 .

[89]  R. Newsom,et al.  Estimation of the mixing layer height over a high altitude site in Central Himalayan region by using Doppler lidar , 2014 .

[90]  C. Córdoba-Jabonero,et al.  Cluster Analysis: A New Approach Applied to Lidar Measurements for Atmospheric Boundary Layer Height Estimation , 2014 .

[91]  Lucas Alados-Arboledas,et al.  Tropospheric water vapour and relative humidity profiles from lidar and microwave radiometry , 2013 .

[92]  Y. Kumar,et al.  Detection of long range transport of aerosols with elevated layers over high altitude station in the central Himalayas: A case study on 22 and 24 March 2012 at ARIES, Nainital , 2013 .

[93]  Y. N. Ahammed,et al.  Aerosol vertical profiles strongly affect their radiative forcing uncertainties: study by using ground-based lidar and other measurements , 2013 .

[94]  David N. Whiteman,et al.  Raman Lidar Measurements of Water Vapor and Cirrus Clouds During the Passage of Hurricane Bonnie , 2013 .

[95]  A. Chatterjee,et al.  Ambient Air Quality during Diwali Festival over Kolkata - A Mega-City in India , 2013 .

[96]  Hajime Okamoto,et al.  Development of aerosol and cloud retrieval algorithms using ATLID and MSI data of EarthCARE , 2013 .

[97]  L. Alados-Arboledas,et al.  Analysis of lidar depolarization calibration procedure and application to the atmospheric aerosol characterization , 2013 .

[98]  D. Shrestha,et al.  Spatiotemporal variation of rainfall over the central Himalayan region revealed by TRMM Precipitation Radar , 2012 .

[99]  A. Weinheimer,et al.  Emission characteristics of black carbon in anthropogenic and biomass burning plumes over California during ARCTAS‐CARB 2008 , 2012 .

[100]  Charles A. Trepte,et al.  Comparison of CALIPSO aerosol optical depth retrievals to AERONET measurements, and a climatology for the lidar ratio of dust , 2012 .

[101]  S. Ghosh,et al.  Effect of Dust and Anthropogenic Aerosols on Columnar Aerosol Optical Properties over Darjeeling (2200 m asl), Eastern Himalayas, India , 2012, PloS one.

[102]  P. K. Pal,et al.  Intra-seasonal variability in Oceansat-2 scatterometer sea-surface winds over the Indian summer monsoon region , 2012, Meteorology and Atmospheric Physics.

[103]  Patrick Chazette,et al.  Aerosol content survey by mini N2-Raman lidar: Application to local and long-range transport aerosols , 2011 .

[104]  U. C. Dumka,et al.  The influence of a south Asian dust storm on aerosol radiative forcing at a high-altitude station in central Himalayas , 2011 .

[105]  R. Ferrare,et al.  Aerosol classification using airborne High Spectral Resolution Lidar measurements – methodology and examples , 2011 .

[106]  W. Hart,et al.  Statistics of Cloud Optical Properties from Airborne Lidar Measurements , 2011 .

[107]  P. Panigrahi,et al.  Multiscale periodicities in aerosol optical depth over India , 2011, 1106.2024.

[108]  I. Mattis,et al.  Vertically resolved light‐absorption characteristics and the influence of relative humidity on particle properties: Multiwavelength Raman lidar observations of East Asian aerosol types over Korea , 2011 .

[109]  L. Alados-Arboledas,et al.  Optical and microphysical properties of fresh biomass burning aerosol retrieved by Raman lidar, and star‐and sun‐photometry , 2011 .

[110]  Martin Wirth,et al.  Microphysical and optical properties of dust and tropical biomass burning aerosol layers in the Cape Verde region—an overview of the airborne in situ and lidar measurements during SAMUM-2 , 2011 .

[111]  R. Engelmann,et al.  Technical Note: One year of Raman-lidar measurements in Gual Pahari EUCAARI site close to New Delhi in India – Seasonal characteristics of the aerosol vertical structure , 2010 .

[112]  Andrew E. Dessler,et al.  Trends in tropospheric humidity from reanalysis systems , 2010 .

[113]  Puja Khare,et al.  Elemental characterization and source identification of PM2.5 using multivariate analysis at the suburban site of North-East India , 2010 .

[114]  Daniele Bortoli,et al.  Infrared lidar overlap function: an experimental determination. , 2010, Optics express.

[115]  R. Engelmann,et al.  Updraft and downdraft characterization with Doppler lidar: cloud-free versus cumuli-topped mixed layer , 2010 .

[116]  J. Cassano,et al.  Changing Temperature Inversion Characteristics in the U.S. Southwest and Relationships to Large-Scale Atmospheric Circulation , 2010 .

[117]  M. Srivastava,et al.  Aerosol Chemistry over a High Altitude Station at Northeastern Himalayas, India , 2010, PloS one.

[118]  Volker Wulfmeyer,et al.  Can Water Vapour Raman Lidar Resolve Profiles of Turbulent Variables in the Convective Boundary Layer? , 2010 .

[119]  Albert Ansmann,et al.  Size matters: Influence of multiple scattering on CALIPSO light‐extinction profiling in desert dust , 2010 .

[120]  Woo-Seop Lee,et al.  Enhanced surface warming and accelerated snow melt in the Himalayas and Tibetan Plateau induced by absorbing aerosols , 2010 .

[121]  Volker Wulfmeyer,et al.  Elastic-backscatter-lidar-based characterization of the convective boundary layer and investigation of related statistics , 2010 .

[122]  Hajime Okamoto,et al.  Global analysis of cloud phase and ice crystal orientation from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data using attenuated backscattering and depolarization ratio , 2010 .

[123]  Tanja N. Dreischuh,et al.  Lidar Measurements of Atmospheric Dynamics over High Mountainous Terrain , 2010 .

[124]  D. Winker,et al.  The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm , 2009 .

[125]  David M. Winker,et al.  The CALIPSO Lidar Cloud and Aerosol Discrimination: Version 2 Algorithm and Initial Assessment of Performance , 2009 .

[126]  Grigorii P. Kokhanenko,et al.  Investigations of the vertical distribution of troposphere aerosol layers based on the data of multifrequency Raman lidar sensing: Part 1. Methods of optical parameter retrieval , 2009 .

[127]  Gunilla Svensson,et al.  The Effects of Critical Layers on Residual Layer Turbulence , 2009 .

[128]  Michael D. Obland,et al.  Aerosol and cloud interaction observed from high spectral resolution lidar data , 2008 .

[129]  Yonghua Wu,et al.  Cloud optical depth measurement comparison between a Raman-Mie and Mie elastic lidar , 2008, Remote Sensing.

[130]  Anthony B. Davis,et al.  Multiple-scattering lidar from both sides of the clouds : Addressing internal structure , 2008 .

[131]  G. Gimmestad,et al.  Reexamination of depolarization in lidar measurements. , 2008, Applied optics.

[132]  Toshiyuki Murayama,et al.  Aerosol lidar ratio characteristics measured by a multi-wavelength Raman lidar system at Anmyeon Island, Korea , 2007 .

[133]  Albert Ansmann,et al.  Particle backscatter, extinction, and lidar ratio profiling with Raman lidar in south and north China. , 2007, Applied optics.

[134]  A. Ansmann,et al.  Aerosol-type-dependent lidar ratios observed with Raman lidar , 2007 .

[135]  V. Shcherbakov Regularized algorithm for Raman lidar data processing. , 2007, Applied optics.

[136]  I. Grigorov,et al.  Lidar and Sun photometer observations of atmospheric boundary-layer characteristics over an urban area in a mountain valley , 2007 .

[137]  Yongxiang Hu,et al.  Depolarization ratio–effective lidar ratio relation: Theoretical basis for space lidar cloud phase discrimination , 2007 .

[138]  Arnold Tunick,et al.  Statistical analysis of optical turbulence intensity over a 2.33 km propagation path. , 2007, Optics express.

[139]  S. K. Satheesh,et al.  Determination of aerosol extinction coefficient profiles from LIDAR data using the optical depth solution method , 2006, SPIE Asia-Pacific Remote Sensing.

[140]  Ka-Ming Lau,et al.  Observational relationships between aerosol and Asian monsoon rainfall, and circulation , 2006 .

[141]  John F Rushing,et al.  Statistical analysis of cloud-cover mitigation of optical turbulence in the boundary layer. , 2006, Optics express.

[142]  T. K. Mandal,et al.  Observations of extremely low tropopause temperature over the Indian tropical region during monsoon and postmonsoon months: Possible implications , 2006 .

[143]  James D. Spinhirne,et al.  Height distribution between cloud and aerosol layers from the GLAS spaceborne lidar in the Indian Ocean region , 2005 .

[144]  Jin-Seok Han,et al.  Source estimation of anthropogenic aerosols collected by a DRUM sampler during spring of 2002 at Gosan, Korea , 2005 .

[145]  Chenbo Xie,et al.  Method and analysis of calculating signal-to-noise ratio in lidar sensing , 2005, Other Conferences.

[146]  C. Böckmann,et al.  Microphysical aerosol parameters from multiwavelength lidar. , 2005, Journal of the Optical Society of America. A, Optics, image science, and vision.

[147]  Zhibo Zhang Computation of the scattering properties of nonspherical ice crystals , 2004 .

[148]  J. Srinivasan,et al.  Can the state of mixing of black carbon aerosols explain the mystery of ‘excess’ atmospheric absorption? , 2004 .

[149]  A. Ansmann,et al.  Aerosol lidar intercomparison in the framework of the EARLINET project. 3. Raman lidar algorithm for aerosol extinction, backscatter, and lidar ratio. , 2004, Applied optics.

[150]  R. Velotta,et al.  An algorithm to determine cirrus properties from analysis of multiple-scattering influence on lidar signals , 2004 .

[151]  David M. Winker,et al.  Combined Lidar-Radar Remote Sensing: Initial Results from CRYSTAL-FACE and Implications for Future Spaceflight Missions , 2004 .

[152]  B. Goswami,et al.  Structure, genesis and scale selection of the tropical quasi‐biweekly mode , 2004 .

[153]  Kenneth Sassen,et al.  Polarization in lidar: a review , 2003, SPIE Optics + Photonics.

[154]  R. S. Maheskumar,et al.  Relationship between lidar‐based observations of aerosol content and monsoon precipitation over a tropical station, Pune, India , 2003 .

[155]  E. O'connor,et al.  Characteristics of mixed‐phase clouds. II: A climatology from ground‐based lidar , 2003 .

[156]  R. S. Maheskumar,et al.  Tropical urban aerosol distributions during pre-sunrise and post-sunset as observed with lidar and solar radiometer at Pune, India , 2003 .

[157]  Chandra Venkataraman,et al.  Optical properties of the Indo-Asian haze layer over the tropical Indian Ocean , 2003 .

[158]  J. Comstock,et al.  Ground‐based lidar and radar remote sensing of tropical cirrus clouds at Nauru Island: Cloud statistics and radiative impacts , 2002 .

[159]  M. Wendisch,et al.  Optical and microphysical characterization of biomass‐ burning and industrial‐pollution aerosols from‐ multiwavelength lidar and aircraft measurements , 2002 .

[160]  Albert Ansmann,et al.  Relative-humidity profiling in the troposphere with a Raman lidar. , 2002, Applied optics.

[161]  O. Boucher,et al.  A satellite view of aerosols in the climate system , 2002, Nature.

[162]  R. K. Scott,et al.  Wave Breaking and Mixing at the Subtropical Tropopause , 2002 .

[163]  U. Wandinger,et al.  Inversion with regularization for the retrieval of tropospheric aerosol parameters from multiwavelength lidar sounding. , 2002, Applied optics.

[164]  Ioan Balin,et al.  Development of a multiwavelength aerosol and water-vapor lidar at the Jungfraujoch Alpine Station (3580 m above sea level) in Switzerland. , 2002, Applied optics.

[165]  A. Ansmann,et al.  Dual‐wavelength Raman lidar observations of the extinction‐to‐backscatter ratio of Saharan dust , 2002 .

[166]  O. Torres,et al.  ENVIRONMENTAL CHARACTERIZATION OF GLOBAL SOURCES OF ATMOSPHERIC SOIL DUST IDENTIFIED WITH THE NIMBUS 7 TOTAL OZONE MAPPING SPECTROMETER (TOMS) ABSORBING AEROSOL PRODUCT , 2002 .

[167]  Henk Klein Baltink,et al.  Observations Of The Morning Transition Of The Convective Boundary Layer , 2001 .

[168]  Kenneth Sassen,et al.  Cloud Type and Macrophysical Property Retrieval Using Multiple Remote Sensors , 2001 .

[169]  D. Althausen,et al.  Comprehensive particle characterization from three-wavelength Raman-lidar observations: case study. , 2001, Applied optics.

[170]  Kengo Iokibe,et al.  Ground‐based network observation of Asian dust events of April 1998 in east Asia , 2001 .

[171]  K. Iokibe,et al.  Stable inversion method for a polarized-lidar: analysis and simulation. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.

[172]  Michael D. King,et al.  A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements , 2000 .

[173]  Albert Ansmann,et al.  Vertical profiling of the Indian aerosol plume with six‐wavelength lidar during INDOEX: A first case study , 2000 .

[174]  K. Liou,et al.  Parameterization of the scattering and absorption properties of individual ice crystals , 2000 .

[175]  H. Okamoto,et al.  Application of lidar depolarization measurement in the atmospheric boundary layer: Effects of dust and sea‐salt particles , 1999 .

[176]  J. Slusser,et al.  On Rayleigh Optical Depth Calculations , 1999 .

[177]  D. Whiteman Application of statistical methods to the determination of slope in lidar data. , 1999, Applied optics.

[178]  U. Wandinger,et al.  Multiple-Scattering Influence on Extinction-and Backscatter-Coefficient Measurements with Raman and High-Spectral-Resolution Lidars. , 1998, Applied optics.

[179]  M. Mishchenko,et al.  Modeling phase functions for dustlike tropospheric aerosols using a shape mixture of randomly oriented polydisperse spheroids , 1997 .

[180]  A. Macke,et al.  Single Scattering Properties of Atmospheric Ice Crystals , 1996 .

[181]  P. Devara,et al.  Lidar‐observed long‐term variations in urban aerosol characteristics and their connection with meteorological parameters , 1994 .

[182]  A. Macke,et al.  Scattering of light by polyhedral ice crystals. , 1993, Applied optics.

[183]  A. Ansmann,et al.  Combined raman elastic-backscatter LIDAR for vertical profiling of moisture, aerosol extinction, backscatter, and LIDAR ratio , 1992 .

[184]  S. H. Melfi,et al.  Raman lidar system for the measurement of water vapor and aerosols in the Earth's atmosphere. , 1992, Applied optics.

[185]  A. Ansmann,et al.  Measurement of atmospheric aerosol extinction profiles with a Raman lidar. , 1990, Optics letters.

[186]  J. Peltoniemi,et al.  Light scattering by randomly oriented crystals. , 1989, Applied optics.

[187]  R. Stull An Introduction to Boundary Layer Meteorology , 1988 .

[188]  D. R. Bates Rayleigh scattering by air , 1984 .

[189]  S. C. Hill,et al.  Light scattering by size/shape distributions of soil particles and spheroids. , 1984, Applied optics.

[190]  F. G. Fernald Analysis of atmospheric lidar observations: some comments. , 1984, Applied optics.

[191]  A. T. Young On the Rayleigh-Scattering Optical Depth of the Atmosphere , 1981 .

[192]  J. Klett Stable analytical inversion solution for processing lidar returns. , 1981, Applied optics.

[193]  L. Gundel,et al.  Identification of the optically absorbing component in urban aerosols. , 1978, Applied optics.

[194]  R. T. H. Collis,et al.  An investigation of mountain waves with lidar observations. , 1973 .

[195]  Kuo-Nan Liou,et al.  Multiple backscattering and depolarization from water clouds for a pulsed lidar system , 1971 .

[196]  M. Piana,et al.  A Bayesian parametric approach to the retrieval of the atmospheric number size distribution from lidar data , 2022 .

[197]  K. L. Shrestha,et al.  Characteristics of Atmospheric Particle-bound Polycyclic Aromatic Compounds over the Himalayan Middle Hills: Implications for Sources and Health Risk Assessment , 2021, Asian Journal of Atmospheric Environment.

[198]  Zhenzhu Wang,et al.  Water Vapor Mixing Ratio Distribution Inversion by Raman Lidar in Beijing , 2020, EPJ Web of Conferences.

[199]  P. Goloub,et al.  Lidar Ratios of Dust Over West Africa Measured During “Shadow” Campaign , 2020, EPJ Web of Conferences.

[200]  T. Tsuda,et al.  A Raman Lidar with a Deep Ultraviolet Laser for Continuous Water Vapor Profiling in the Atmospheric Boundary Layer , 2020, EPJ Web of Conferences.

[201]  M. J. Costa,et al.  High-Frequency Response of the Atmospheric Electric Potential Gradient Under Strong and Dry Boundary-Layer Convection , 2017, Boundary-Layer Meteorology.

[202]  V. Sivakumar,et al.  Observation of Clouds Using the CSIR Transportable LIDAR: A Case Study over Durban, South Africa , 2016 .

[203]  R. Huth,et al.  Climatology of low-level temperature inversions at the Prague-Libuš aerological station , 2015, Theoretical and Applied Climatology.

[204]  Ashish Kumar,et al.  Study of atmospheric aerosols over the central Himalayan region using a newly developed Mie light detection and ranging system: preliminary results , 2011 .

[205]  Y. Bhavani Kumar,et al.  An integrated analysis of lidar observations in association with optical properties of aerosols from a high altitude location in central Himalayas , 2009 .

[206]  K. Badarinath,et al.  Long-range transport of aerosols from agriculture crop residue burning in Indo-Gangetic Plains—A study using LIDAR, ground measurements and satellite data , 2009 .

[207]  John Seinfeld,et al.  Black carbon and brown clouds , 2008 .

[208]  J. Streicher,et al.  Lidar: Range-Resolved Optical Remote Sensing of the Atmosphere , 2005 .

[209]  Kenneth Sassen,et al.  Polarization in Lidar , 2005 .

[210]  Ro Yal,et al.  Structure, genesis and scale selection of the tropical quasi-biweekly mode , 2004 .

[211]  C. Tropea,et al.  Light Scattering from Small Particles , 2003 .

[212]  David D. Turner,et al.  Automated Retrievals of Water Vapor and Aerosol Profiles from an Operational Raman Lidar , 2002 .

[213]  V. Simeonov,et al.  Lidar observation of the nocturnal boundary layer formation over Sofia, Bulgaria , 2000 .

[214]  Zhien Wang,et al.  Cloud property retrieval using combined ground-based remote sensors , 2000 .

[215]  A. Ansmann,et al.  Microphysical particle parameters from extinction and backscatter lidar data by inversion with regularization: simulation. , 1999, Applied optics.

[216]  M. H. Smith,et al.  Marine aerosol, sea-salt, and the marine sulphur cycle: a short review , 1997 .

[217]  K. Liou,et al.  Solar Radiative Transfer in Cirrus Clouds. Part I: Single-Scattering and Optical Properties of Hexagonal Ice Crystals , 1989 .

[218]  Tetsuo Nakazawa,et al.  Intraseasonal Variations of OLR in the Tropics During the FGGE Year , 1986 .