تحقیقات کاربردی علوم جغرافیایی

تحقیقات کاربردی علوم جغرافیایی

صحت سنجی عمق اپتیکی هواویزهای اندازه گیری شده توسط سنجنده های کالیوپ، مادیس، میزر و امی با داده های شیدسنج خورشیدی در منطقه زنجان

نویسندگان
علی بیات 1
احمد عصار عنایتی 2
عظیمه توشنی 3
1 استادیار گروه فیزیک دانشگاه زنجان
2 دانشجوی کارشناسی فیزیک دانشگاه زنجان
3 دانشجوی کارشناسی ارشد فیزیک دانشگاه زنجان
10.52547/jgs.21.62.201
چکیده
در این مقاله، عمق اپتیکی هواویز اندازه­گیری شده با سنجنده‌های کالیوپ، مادیس، میزر و امی با داده‌های شیدسنج خورشیدی مستقر در دانشگاه تحصیلات تکمیلی زنجان، از دسامبر سال 2009 تا دسامبر سال 2013 مقایسه و صحت‌سنجی شده است. رگرسیون خطی، میانگین مربعات خطا و میانگین خطای مطلق بین اندازه­گیری­های سنجنده­های فضابرد و سنجنده زمین­پایه محاسبه شده است. همچنین تخمین رو به بالا و تخمین رو به پایین تعیین شد. نتایج نشان می­دهند که سنجنده کالیوپ و میزر به ترتیب بیشترین همبستگی (61/0 و 54/0) را با اندازه‌گیری‌های زمین‌پایه بر فراز منطقه زنجان دارد. سنجنده­های میزر، کالیوپ و امی به ترتیب نزدیکترین داده­های عمق اپتیکی را نسبت به اندازه­گیری­های شیدسنج خورشیدی (شیب خط برازش شده به ترتیب برابر 68/0، 61/0 و 59/0) دارند که نشان دهنده مدل مناسب استفاده شده در سنجنده­ها برای استخراج عمق اپتیکی هواویزها است. همچنین کمترین عرض از مبداء خط برازش شده مربوط به داده­های سنجنده مادیس است. میانگین عمق اپتیکی هواویزهای اندازه­گیری شده با سنجنده­های فضابرد و سنجنده زمین پایه نشان می­دهد که سنجنده­های مادیس و کالیوپ دارای تخمین رو به پایین (به ترتیب 32/0 و 83/0) و سنجنده­های امی و میزر دارای تخمین روبه بالا (به ترتیب 23/1 و 08/1) نسبت به شیدسنج خورشیدی دارند.
کلیدواژه‌ها
عمق اپتیکی
هواویز
مادیس
شیدسنج خورشیدی

عنوان مقاله English

Verification of CALIOP, MODIS, MISR, and OMI aerosol optical depth retrievals against Sun-photometer data over Zanjan

نویسندگان English

Ali Bayat 1
Ahmad Assar Enayati 2
Azimeh Toshani 3
1 University of Zanjan
2 University of Zanjan
3 University of Zanjan
چکیده English

In this paper, aerosol optical depth measured by Caliop, MODIS, MISR, and OMI satellite sensors is compared with Sun-photometer data located in the Institute for Advanced Studies in Basic Sciences (IASBS) from December 2009 to December 2013 over Zanjan city. We computed figures for root mean square error (RMSE), mean absolute error (MAE) and root mean bias (RMB) between space-born and ground-based sensor measurements. The results show that the Caliop and MISR sensors have the highest correlation (0.61 and 0.54), respectively, with Sun-photometer measurements over Zanjan area. MISR, Caliop, and OMI sensors have the closest aerosol optical depth data to the Sun-photometer measurements (the fitted line slope is 0.68, 0.61 and 0.59, respectively) which represents the appropriate model used in the sensors to extract the aerosol optical depth. The variable monthly AOD figures obtained with different sensors indicate underestimation by MODIS and Caliop instruments (0.32 and 0.83 respectively) over Zanjan city relative to the Sun-photometer data, and overestimation by OMI and MISR instruments (1. 23 and 1.08 respectively).

کلیدواژه‌ها English

Aerosol
optical depth
MODIS
Sun-photometer
Ramachandran, S. and Kedia, S. (2013). Aerosol optical properties over South Asia from groundbased observations and remote sensing: a review. Climate, 1(3), pp.84119.
Prospero, J.M., Ginoux, P., Torres, O., Nicholson, S.E. and Gill, T.E. (2002). Environmental characterization of global sources of atmospheric soil dust identified with the Nimbus 7 Total Ozone Mapping Spectrometer (TOMS) absorbing aerosol product. Reviews of geophysics, 40(1), pp.21.
Habib, G., Venkataraman, C., Chiapello, I., Ramachandran, S., Boucher, O. and Reddy, M.S., (2006). Seasonal and interannual variability in absorbing aerosols over India derived from TOMS: Relationship to regional meteorology and emissions. Atmospheric Environment, 40(11), pp.19091921.
Change, C. (2001). The Scientific Basis–Cambridge, United Kingdom and New York.
Solomon, S., Qin, D., Manning, M., Averyt, K. and Marquis, M. eds. (2007). Climate change 2007the physical science basis, Working group I contribution to the fourth assessment report of the IPCC (Vol. 4). Cambridge university press.
Aubert, B., Bazan, A., Boucham, A., Boutigny, D., De Bonis, I., Favier, J., Gaillard, J.M., Jeremie, A., Karyotakis, Y., Le Flour, T. and Lees, J.P. (2002). The BABAR detector. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 479(1), pp.1116.
Kaufman, Y.J., Tanré, D., Gordon, H.R., Nakajima, T., Lenoble, J., Frouin, R., Grassl, H., Herman, B.M., King, M.D. and Teillet, P.M. (1997). Passive remote sensing of tropospheric aerosol and atmospheric correction for the aerosol effect. Journal of Geophysical Research: Atmospheres, 102(D14), pp.1681516830.
Kahn, R.A., Gaitley, B.J., Garay, M.J., Diner, D.J., Eck, T.F., Smirnov, A. and Holben, B.N., (2010). Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network. Journal of Geophysical Research: Atmospheres, 115(D23).
Jethva, H., Satheesh, S.K. and Srinivasan, J. (2007). Assessment of second‐generation MODIS aerosol retrieval (Collection 005) at Kanpur, India. Geophysical Research Letters, 34(19).
Holben, B.N., Eck, T.F., Slutsker, I., Tanre, D., Buis, J.P., Setzer, A., Vermote, E., Reagan, J.A., Kaufman, Y.J., Nakajima, T. and Lavenu, F. (1998). AERONET—A federated instrument network and data archive for aerosol characterization. Remote sensing of environment, 66(1), pp.116.
Fotiadi, A., Hatzianastassiou, N., Drakakis, E., Matsoukas, C., Pavlakis, K.G., Hatzidimitriou, D., Gerasopoulos, E., Mihalopoulos, N. and Vardavas, I. (2006). Aerosol physical and optical properties in the Eastern MediTerranean Basin, Crete, from Aerosol Robotic Network data. Atmospheric Chemistry and Physics, 6(12), pp.53995413.
Chu, D.A., Kaufman, Y.J., Zibordi, G., Chern, J.D., Mao, J., Li, C. and Holben, B.N. (2003). Global monitoring of air pollution over land from the Earth Observing System‐Terra Moderate Resolution Imaging Spectroradiometer (MODIS). Journal of Geophysical Research: Atmospheres, 108(D21).
Santese, M., De Tomasi, F. and Perrone, M.R. (2007). AERONET versus MODIS aerosol parameters at different spatial resolutions over southeast Italy. Journal of Geophysical Research: Atmospheres, 112(D10).
Kosmopoulos, P.G., Kaskaoutis, D.G., Nastos, P.T. and Kambezidis, H.D. (2008). Seasonal variation of columnar aerosol optical properties over Athens, Greece, based on MODIS data. Remote Sensing of Environment, 112(5), pp.23542366.
Martonchik, J.V., Diner, D.J., Kahn, R.A., Ackerman, T.P., Verstraete, M.M., Pinty, B. and Gordon, H.R. (1998). Techniques for the retrieval of aerosol properties over land and ocean using multi angle imaging. IEEE Transactions on Geoscience and Remote Sensing, 36(4), pp.12121227.

Winker, D.M., Pelon, J., Coakley Jr, J.A., Ackerman, S.A., Charlson, R.J., Colarco, P.R., Flamant, P., Fu, Q., Hoff, R.M., Kittaka, C. and Kubar, T.L. (2010). The CALIPSO mission: A global 3D view of aerosols and clouds. Bulletin of the American Meteorological Society, 91(9), pp.12111230.

Zhang, J. and Christopher, S.A. (2003). Longwave radiative forcing of Saharan dust aerosols estimated from MODIS, MISR, and CERES observations on Terra. Geophysical Research Letters, 30(23).

Li, D.F. and Yang, J.B. (2004). Fuzzy linear programming technique for multi attribute group decision making in fuzzy environments. Information Sciences, 158, pp.263275.

Myhre, G., Stordal, F., Johnsrud, M., Diner, D.J., Geogdzhayev, I.V., Haywood, J.M., Holben, B.N., HolzerPopp, T., Ignatov, A., Kahn, R.A. and Kaufman, Y.J. (2005). Intercomparison of satellite retrieved aerosol optical depth over ocean during the period September 1997 to December 2000. Atmospheric Chemistry and Physics, 5(6), pp.16971719.

Qi, Y., Ge, J. and Huang, J. (2013). Spatial and temporal distribution of MODIS and MISR aerosol optical depth over northern China and comparison with AERONET. Chinese science bulletin, 58(20), pp.24972506.
Winker, D.M., Vaughan, M.A., Omar, A., Hu, Y., Powell, K.A., Liu, Z., Hunt, W.H. and Young, S.A. (2009). Overview of the CALIPSO mission and CALIOP data processing algorithms. Journal of Atmospheric and Oceanic Technology, 26(11), pp.23102323.

Huang, C., Ai, H., Li, Y. and Lao, S. (2007). Highperformance rotation invariant multiview face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(4), pp.671686.s

Huang, J., Minnis, P., Yi, Y., Tang, Q., Wang, X., Hu, Y., Liu, Z., Ayers, K., Trepte, C. and Winker, D. (2007). Summer Dust Aerosols Detected from CALIPSO Observations over the Tibetan Plateau. Geophys. Res. Lett. 34.

Winker, D.M., Hunt, W.H. and McGill, M.J. (2007). Initial performance assessment of CALIOP. Geophysical Research Letters, 34(19).

Liu, J., Zheng, Y., Li, Z. and Wu, R. (2008). Ground based remote sensing of aerosol optical properties in one city in Northwest China. Atmospheric Research, 89(12), pp.194205.

Liu, J., Xia, X., Li, Z., Wang, P., Min, M., Hao, W., Wang, Y., Xin, J., Li, X., Zheng, Y. and Chen, Z. (2010). Validation of multi angle imaging spectroradiometer aerosol products in China. Tellus B: Chemical and Physical Meteorology, 62(2), pp.117124.

Geng, F., Liu, Q., Chen, Y., Hua, Z. and Xiaoqin, M. (2011). Preliminary study of vertical distribution of aerosols during dry haze periods around Shanghai based on CALIPSO. Procedia Earth and Planetary Science, 2, pp.217222.

Ma, X. and Yu, F. (2014). Seasonal variability of aerosol vertical profiles over east US and west Europe: GEOSChem/APM simulation and comparison with CALIPSO observations. Atmospheric research, 140, pp.2837.

Mishchenko, M.I., Hovenier, J.W. and Travis, L.D. (1999). Light scattering by nonspherical particles: theory, measurements, and applications. Academic Press.

Winker, D.M., Pelon, J.R. and McCormick, M.P. (2003). The CALIPSO mission: Spaceborne lidar for observation of aerosols and clouds. In Lidar Remote Sensing for Industry and Environment Monitoring III (Vol. 4893, pp. 112). International Society for Optics and Photonics.

Alam, K., Qureshi, S. and Blaschke, T. (2011). Monitoring spatiotemporal aerosol patterns over Pakistan based on MODIS, TOMS and MISR satellite data and a HYSPLIT model. Atmospheric environment, 45(27), pp.46414651.

Alam, K., Sahar, N. and Iqbal, Y. (2014). Aerosol characteristics and radiative forcing during premonsoon and postmonsoon seasons in an urban environment. Aerosol Air Qual. Res, 14(1), pp.99107.

Prasad, A.K., Singh, S., Chauhan, S., Srivastava, M.K., Singh, R.P., Singh, R. (2007). Aerosol radiative forcing over the Indo-Gangetic plains during major dust storms. Atmos. Environ. 41, 6289e6301.

Dubovik, O., Holben, B., Eck, T.F., Smirnov, A., Kaufman, Y.J., King, M.D., Tanré, D. and Slutsker, I. (2002). Variability of absorption and optical properties of key aerosol types observed in worldwide locations. Journal of the atmospheric sciences, 59(3), pp.590608.

Kaufman, Y.J., Tanré, D., Remer, L.A., Vermote, E.F., Chu, A. and Holben, B.N. (1997). Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer. Journal of Geophysical Research: Atmospheres, 102(D14), pp.1705117067.

Remer, L.A., Kaufman, Y.J., Tanré, D., Mattoo, S., Chu, D.A., Martins, J.V., Li, R.R., Ichoku, C., Levy, R.C., Kleidman, R.G. and Eck, T.F. (2005). The MODIS aerosol algorithm, products, and validation. Journal of the atmospheric sciences, 62(4), pp.947973.

Levy, R.C., Remer, L.A., Mattoo, S., Vermote, E.F. and Kaufman, Y.J. (2007). Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance. Journal of Geophysical Research: Atmospheres, 112(D13).

Bibi, H., Alam, K., Chishtie, F., Bibi, S., Shahid, I. and Blaschke, T. (2015). Intercomparison of MODIS, MISR, OMI, and CALIPSO aerosol optical depth retrievals for four locations on the IndoGangetic plains and validation against AERONET data. Atmospheric Environment, 111, pp.113126.

Martonchik, J.V., Diner, D.J., Kahn, R.A., Ackerman, T.P., Verstraete, M.M., Pinty, B.,Gordon, H.R. (1998). Techniques for the retrieval of aerosol properties over land and ocean using multiangle imaging. Geosci. Remote Sens. IEEE Trans. 36,1212e1227.

Wong, M.S., Shahzad, M.I., Nichol, J.E., Lee, K.H. and Chan, P.W. (2013). Validation of MODIS, MISR, OMI, and CALIPSO aerosol optical thickness using ground based sunphotometers in Hong Kong. International journal of remote sensing, 34(3), pp.897918.

Eck, T.F., Holben, B.N., Reid, J.S., Dubovik, O., Smirnov, A., O'neill, N.T., Slutsker, I. and Kinne, S. (1999). Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols. Journal of Geophysical Research: Atmospheres, 104(D24), pp.3133331349.
Hyer, E.J., Reid, J.S. and Zhang, J. (2011). An overland aerosol optical depth data set for data assimilation by filtering, correction, and aggregation of MODIS Collection 5 optical depth retrievals. Atmospheric Measurement Techniques, 4(3), pp.379408.

Ichoku, C., Chu, D.A., Mattoo, S., Kaufman, Y.J., Remer, L.A., Tanré, D., Slutsker, I. and Holben, B.N. (2002). A spatio‐temporal approach for global validation and analysis of MODIS aerosol products. Geophysical Research Letters, 29(12), pp.MOD11.

Tang, Y., Carmichael, G.R., Woo, J.H., Thongboonchoo, N., Kurata, G., Uno, I., Streets, D.G., Blake, D.R., Weber, R.J., Talbot, R.W. and Kondo, Y. (2003). Influences of biomass burning during the Transport and Chemical Evolution Over the Pacific (TRACE‐P) experiment identified by the regional chemical transport model. Journal of geophysical research: atmospheres, 108(D21).

Masoumi, A., Khalesifard, H.R., Bayat, A. and Moradhaseli, R. (2013). Retrieval of aerosol optical and physical properties from groundbased measurements for Zanjan, a city in Northwest Iran. Atmospheric research, 120, pp.343355.