ارزیابی اولیه تمایز ابر و آئروسل با استفاده از داده‌های سنجنده CALIPSO برای مناطق شرقی ایران

نوع مقاله : مقاله کامل پژوهشی

نویسندگان

1 مهندسی عمران- سنجش از دور، دانشگاه فردوسی مشهد

2 دانشگاه فردوسی مشهد

3 گروه علوم و مهندسی محیط زیست، دانشگاه Ewha سئول - آزمایشگاه پیشرانه جت NASA، کالیفرنیا

4 گروه مهندسی عمران، دانشگاه فردوسی مشهد

5 گروه مهندسی برق، دانشگاه فردوسی مشهد

چکیده

نظارت بر کیفیت هوا با استفاده از داده‌های ماهواره‌ای امری حیاتی بوده و استفاده از تکنیک‌های فعال یک روش بسیار مناسب، برای مطالعه ذرات موجود در جو می‌باشد. از طرفی هم، پیچیدگی خواص فیزیکی و نوری ابرها و ذرات معلق در هوا منجر به عدم شناخت کافی از رفتار و ویژگی‌های این ذرات در شرایط مختلف جوی شده است. این تحقیق، یک ارزیابی اولیه از لیدار CALIOP، به منظور تشخیص ابرها و ذرات معلق در هوا در مناطق شرقی ایران، برای دو تاریخ هشتم آگوست سال 2009 (روز) و بیست و هشتم جولای سال 2013 (شب) می‌باشد. بدین منظور داده‌های سطح 2 CALIOP مربوط به زمان‌های مختلف (روز و شب) به جهت آنالیز و تمایز ابرها و ذرات معلق در هوا (CAD) و همچنین بررسی ویژگی‌های نوری ذرات انتخاب گردید. نتایج حاصل در مجموع نشان می‌دهند که میزان لایه‌های متعلق به عوارضی از جنس آئروسل برای هشتم آگوست سال 2009، بیش از بیست و هشتم جولای سال 2013 بوده است؛ که در واقع موید نتایج حاصل از پروفیل‌های ضرایب انقراض، پروفیل‌های عدم قطعیت آن­ها و مقایسه پروفیل‌های مربوط به دما و رطوبت نسبی می‌باشد.

کلیدواژه‌ها


عنوان مقاله [English]

Initial Assessment of Cloud and Aerosol Discrimination over the Eastern Regions of Iran Using CALIOP Satellite Data

نویسندگان [English]

  • Sina Zahediasl 1
  • Alireza Faridhosseini 2
  • Yong-Sang Choi 3
  • Ruzbeh Shad 4
  • Alireza Seyedin 5
1 Department of Remote Sensing Engineering, Faculty of Engineering, Ferdowsi University of Mashhad (FUM), Mashhad
2 Department of Water Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad (FUM), Mashhad
3 Department of Environmental Science and Engineering, Ewha Womans University, Seoul
4 Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad (FUM), Mashhad
5 Department of Electronic Engineering, Faculty of Engineering, Ferdowsi University of Mashhad (FUM), Mashhad
چکیده [English]

Clouds and aerosols discrimination and also its monitoring always is a big part of human concerns including the modeling of climate systems. Issues related to air pollution and aerosols are one of the major problems of the environment for the residents of the world and the Middle East in recent years. Specific geographical and political conditions which are prevailed in the Middle East, being neighbored with dry and desert countries, also being located in the dust belt path (Liu, Vaughan et al. 2009), increases the necessity of monitoring and discrimination of clouds and aerosols for countries in this region, especially Iran. Aerosols are clearly and explicitly can have an impact on global emission rate and significantly limits the human’s understanding of climate systems and its potential for global climate change which is caused by the absorption, scattering  and of course in the sunlight passes through the atmosphere features to the Earth's surface.

کلیدواژه‌ها [English]

  • Cloud
  • Aerosol
  • East Part of Iran
  • CAD
  • CALIOP
Alados‐Arboledas L, Müller D, Guerrero‐Rascado J,  Navas‐Guzmán F, Pérez‐Ramírez D, Olmo F, “Optical and microphysical properties of fresh biomass burning aerosol retrieved by Raman lidar, and star‐and sun‐photometry”, Geophysical Research Letters, 2011, 38 (1).
Chan MA, Comiso JC, “Cloud features detected by MODIS but not by CloudSat and CALIOP”, Geophysical Research Letters, 2011, 38 (24).
Chand D, Anderson T, Wood R, Charlson R, Hu Y, Liu Z, Vaughan M, “Quantifying above‐cloud aerosol using spaceborne lidar for improved understanding of cloudy‐sky direct climate forcing”, Journal of Geophysical Research: Atmospheres (1984-2012), 2008, 113 (D13).
Chazette P, Raut JC, Dulac F, Berthier S, Kim SW, Royer P, Sanak J, Loaëc S, Grigaut‐Desbrosses H, “Simultaneous observations of lower tropospheric continental aerosols with a ground‐based, an airborne, and the spaceborne CALIOP lidar system”, Journal of Geophysical Research: Atmospheres (1984-2012), 2010, 115 (D4).
Choi HJ, “Characterization of properties and spatiotemporal fields of mineral aerosol and its radiative impact using CALIPSO data in conjunction with A-Train satellite and ground-based observations and modeling”, 2011.
Houghton JT, Ding Y, Griggs DJ, Noguer M, van der Linden PJ, Dai X, Maskell K, Johnson C, “Climate change 2001: the scientific basis”, 2001.
Jia K, Liang S, Zhang N, Wei X, Gu X, Zhao X, Yao Y,  Xie X, “Land cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data”, ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 93, 49-55.
Josset D, Rogers R, Pelon J, Hu Y, Liu Z, Omar A, Zhai PW, “CALIPSO lidar ratio retrieval over the ocean”, Optics Express, 2011, 19 (19), 18696-18706.
Ju J, Roy DP, “The availability of cloud-free Landsat ETM+ data over the conterminous United States and globally”, Remote Sensing of Environment, 2008, 112 (3), 1196-1211.
Kahn RA, Gaitley BJ, Martonchik JV, Diner DJ, Crean KA, Holben B, “Multiangle Imaging Spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations”, Journal of Geophysical Research: Atmospheres (1984-2012), 2005, 110 (D10).
Kovalev VA, Eichinger WE, “Elastic lidar: theory, practice, and analysis methods”, John Wiley & Sons, US, 2004.
Liu Z, Omar A, Hu Y, Vaughan M, Winker D, Poole L, Kovacs T, “CALIOP algorithm theoretical basis document, part 3: Scene classification algorithms. NASA-CNES document PC-SCI-203”, 2005.
Liu Z, Vaughan M, Winker D, Kittaka C, Getzewich B, Kuehn R, Omar A, Powell K, Trepte C, Hostetler C, “The CALIPSO lidar cloud and aerosol discrimination: Version 2 algorithm and initial assessment of performance”, Journal of Atmospheric and Oceanic Technology, 2009, 26 (7), 1198-1213.
Michel Flores J, Bar-Or R, Bluvshtein N, Abo-Riziq A, Kostinski A, Borrmann S, Koren I, Rudich Y, “Absorbing aerosols at high relative humidity: linking hygroscopic growth to optical properties”, Atmospheric Chemistry and Physics, 2012, 12 (12), 5511-5521.
Nowottnick E, Colarco P, da Silva A, Hlavka D, McGill M, “The fate of Saharan dust across the Atlantic and implications for a central American dust barrier”, 2011.
Nygård T, Valkonen T, Vihma T, “Characteristics of Arctic low-tropospheric humidity inversions based on radio soundings”, Atmospheric Chemistry and Physics, 2014, 14 (4), 1959-1971.
Remer LA, Kaufman Y, Tanré D, Mattoo S, Chu D, Martins JV, Li RR, Ichoku C, Levy R, Kleidman R, “The MODIS aerosol algorithm, products, and validation”, Journal of the Atmospheric Sciences, 2005, 62 (4), 947-973.
Rogers R, Vaughan M, Hostetler C, Burton S, Ferrare R, Young S, Hair J, Obland M, Harper D, Cook A, “Looking through the haze: evaluating the CALIPSO level 2 aerosol optical depth using airborne high spectral resolution lidar data”, Atmospheric Measurement Techniques, 2014, 7 (12), 4317-4340.
Sedlar J, Shupe MD, Tjernström M, “On the relationship between thermodynamic structure and cloud top, and its climate significance in the Arctic”, Journal of Climate, 2012, 25 (7), 2374-2393.
Stephens GL, Vane DG, Boain RJ, Mace GG, Sassen K, Wang Z, Illingworth AJ, O'Connor EJ, Rossow WB, Durden SL, “The CloudSat mission and the A-Train: A new dimension of space-based observations of clouds and precipitation”, Bulletin of the American Meteorological Society, 2002, 83 (12), 1771-1790.
Trebbin N, “Cloud statistics from Calipso lidar data for the performance assessment of a methane space lidar”, Technische Universität München, 2013.
Vaughan M, Winker D, K. Powell K, “CALIOP Algorithm Theoretical Basis Document, part 2: Feature detection and layer properties algorithms”, PC-SCI-202.01, NASA Langley Res. Cent., Hampton, 2005.
Vaughan MA, Powell KA, Winker DM, Hostetler CA, Kuehn RE, Hunt WH, Getzewich BJ, Young SA, Liu Z, McGill MJ, “Fully automated detection of cloud and aerosol layers in the CALIPSO lidar measurements”, Journal of Atmospheric and Oceanic Technology, 2009, 26 (10), 2034-2050.
Vaughan MA, Young SA, Winker DM, Powell KA, Omar AH, Liu Z, Hu Y, Hostetler CA, “Fully automated analysis of space-based lidar data: An overview of the CALIPSO retrieval algorithms and data products”, Remote Sensing, International Society for Optics and Photonics, 2004.
Vihma T, Kilpeläinen T, Manninen M, Sjöblom A, Jakobson E, Palo T, Jaagus J, Maturilli M, “Characteristics of temperature and humidity inversions and low-level jets over Svalbard fjords in spring”, Advances in Meteorology, 2012.
Winker DM, “Global observations of aerosols and clouds from combined lidar and passive instruments to improve radiation budget and climate studies”, 1999.
Winker DM, Hunt WH, McGill MJ, “Initial performance assessment of CALIOP”, Geophysical Research Letters, 2007, 34 (19).
Winker DM, Vaughan MA, Omar A, Hu Y, Powell KA, Liu Z, Hunt WH, Young SA, “Overview of the CALIPSO mission and CALIOP data processing algorithms”, Journal of Atmospheric and Oceanic Technology, 2009, 26 (11), 2310-2323.
Yang W, Marshak A, Várnai T, Kalashnikova OV, Kostinski AB, “CALIPSO observations of transatlantic dust: vertical stratification and effect of clouds”, Atmospheric Chemistry and Physics, 2012, 12 (23), 11339-11354.
Young SA, Vaughan MA, “The retrieval of profiles of particulate extinction from Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) data: Algorithm description”, Journal of Atmospheric and Oceanic Technology, 2009, 26 (6), 1105-1119.
Young SA, Vaughan MA, Kuehn RE, Winker DM, “The retrieval of profiles of particulate extinction from Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) data: Uncertainty and error sensitivity analyses”, Journal of Atmospheric and Oceanic Technology, 2013, 30 (3), 395-428.
Yu H, Zhang Y, Chin M, Liu Z, Omar A, Remer LA, Yang Y, Yuan T, Zhang J, “An integrated analysis of aerosol above clouds from A-Train multi-sensor measurements”, Remote Sensing of Environment, 2012, 121, 125-131.
Zieger P, Weingartner E, Henzing J, Moerman M, Leeuw G, Mikkilä J, Ehn M, Petäjä T, Clémer K, Roozendael MV, “Comparison of ambient aerosol extinction coefficients obtained from in-situ, MAX-DOAS and LIDAR measurements at Cabauw”, Atmospheric Chemistry and Physics, 2011, 11 (6), 2603-2624.