بررسی فصلی گردوخاک‌ در شمال شرق ایران و شبیه‌‌سازی عددی رخدادهای گردوخاک‌ فرین با مدل WRF-CHEM

Barnes, W. L., Xiong, X. and Salomonson, V. V., 2003, Status of terra MODIS and aqua MODIS. Advances in Space Research, 32(11), 2099-2106.

Chaibou, A. A. S., Ma, X., Kumar, K. R., Jia, H., Tang, Y. and Sha, T., 2020, Evaluation of dust extinction and vertical profiles simulated by WRF-Chem with CALIPSO and AERONET over North Africa. Journal of Atmospheric and Solar-Terrestrial Physics, 199, 105213.

Chen, S.H. and Dudhia, J., 2005, Annual Report: WRF PHYSICS [R/OL]. http://www2.mmm.ucar.edu/wrf/users/docs/wrf-doc-physics.pdf.

Chen, J., Wan, S., Henebry, G., Qi, J., Gutman, G., Sun, G. and Kappas, M. (Eds.), 2013, Dryland East Asia: land dynamics amid social and climate change. Walter de Gruyter.

Chen, S., Jiang, N., Huang, J., Zang, Z., Guan, X., Ma, X., Luo, Y., Li, J., Zhang, X. and Zhang, Y., 2019, Estimations of indirect and direct anthropogenic dust emission at the global scale. Atmospheric Environment, 200, 50-60.

Chin, M., Diehl, T., Tan, Q., Prospero, J.M., Kahn, R.A., Remer, L.A., Yu, H., Sayer, A.M., Bian, H., Geogdzhayev, I.V. and Holben, B.N., 2014, Multi-decadal aerosol variations from 1980 to 2009: a perspective from observations and a global model. Atmospheric Chemistry and Physics, 14(7), 3657-3690.

Chin, M., Ginoux, P., Kinne, S., Torres, O., Holben, B.N., Duncan, B.N., Martin, R.V., Logan, J.A., Higurashi, A. and Nakajima, T., 2002, Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and Sun photometer measurements. Journal of the atmospheric sciences, 59(3), 461-483.

Dadashi-Roudbari, A. and Ahmadi, M., 2020, Evaluating temporal and spatial variability and trend of aerosol optical depth (550 nm) over Iran using data from MODIS on board the Terra and Aqua satellites. Arabian Journal of Geosciences, 13(6), 1-23.

Dukhovny, V. A., Navratil, P., Rusiev, I., Stulina, G. and Roshenko, Y. E., 2008, Comprehensive remote sensing and ground-based studies of the dried Aral Sea bed. SIC ICWC, Tashkent, 173.

Floutsi, A. A., Korras-Carraca, M. B., Matsoukas, C., Hatzianastassiou, N. and Biskos, G., 2016, Climatology and trends of aerosol optical depth over the Mediterranean basin during the last 12 years (2002–2014) based on Collection 006 MODIS-Aqua data, Science of the Total Environment, 551, 292-303.

Ginoux, P., Chin, M., Tegen, I., Prospero, J. M., Holben, B., Dubovik, O. and Lin, S. J., 2001, Sources and distributions of dust aerosols simulated with the GOCART model. Journal of Geophysical Research: Atmospheres, 106(D17), 20255-20273.

Ginoux, P., Prospero, J. M., Torres, O. and Chin, M., 2004, Long-term simulation of global dust distribution with the GOCART model: correlation with North Atlantic Oscillation. Environmental Modelling & Software, 19(2), 113-128.

Gkikas, A., Proestakis, E., Amiridis, V., Kazadzis, S., Di Tomaso, E., Tsekeri, A., Marinou, E., Hatzianastassiou, N. and Pérez García-Pando, C., 2021, ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set. Atmospheric Measurement Techniques, 14(1), 309-334.

Hong, S. Y., Noh, Y. and Dudhia, J,. 2006, A new vertical diffusion package with an explicit treatment of entrainment processes. Monthly weather review, 134(9), 2318-2341.

Huang, J., Li, Y., Fu, C., Chen, F., Fu, Q., Dai, A., Shinoda, M., Ma, Z., Guo, W., Li, Z. and Zhang, L., 2017, Dryland climate change: Recent progress and challenges. Reviews of Geophysics, 55(3), 719-778.

Huang, J., Wang, T., Wang, W., Li, Z. and Yan, H., 2014, Climate effects of dust aerosols over East Asian arid and semiarid regions. Journal of Geophysical Research: Atmospheres, 119(19), 11-398.

Iacono, M. J., Mlawer, E. J., Clough, S. A. and Morcrette, J. J., 2000, Impact of an improved longwave radiation model, RRTM, on the energy budget and thermodynamic properties of the NCAR community climate model, CCM3. Journal of Geophysical Research: Atmospheres, 105(D11), 14873-14890.

Indoitu, R., Orlovsky, L. and Orlovsky, N. 2012, Dust storms in Central Asia: spatial and temporal variations. Journal of Arid Environments, 85, 62-70.

Jones, S. L., Adams-Selin, R., Hunt, E. D., Creighton, G. A. and Cetola, J. D., 2012, December, Update on modifications to WRF-CHEM GOCART for fine-scale dust forecasting at AFWA. In AGU Fall Meeting Abstracts (Vol. 2012, pp. A33D-0188).

Kamali, S., Mofidi, A., Zarrin, A. and Nazaripour, H., 2017, Sensitivity studies of the forth-generation regional climate model simulation of dust storms in the Sistan plain, Iran. Modeling Earth Systems and Environment, 3(2), 769-781.

Kim, K.M., Kim, S.W., Choi, M., Kim, M., Kim, J., Shin, I., Kim, J., Chung, C.Y., Yeo, H., Kim, S.W. and Joo, S.J., 2021, Modeling Asian Dust Storms Using WRF‐Chem During the DRAGON‐Asia Field Campaign in April 2012. Journal of Geophysical Research: Atmospheres, 126(18), e2021JD034793.

LeGrand, S. L., Polashenski, C., Letcher, T. W., Creighton, G. A., Peckham, S. E. and Cetola, J. D., 2019, The AFWA dust emission scheme for the GOCART aerosol model in WRF-Chem v3. 8.1. Geoscientific Model Development, 12(1), 131-166.

Levy, R. C., Mattoo, S., Munchak, L. A., Remer, L. A., Sayer, A. M., Patadia, F. and Hsu, N. C., 2013, The Collection 6 MODIS aerosol products over land and ocean. Atmospheric Measurement Techniques, 6(11), 2989.

Li, Z., Lau, W.M., Ramanathan, V., Wu, G., Ding, Y., Manoj, M.G., Liu, J., Qian, Y., Li, J., Zhou, T. and Fan, J., 2016, Aerosol and monsoon climate interactions over Asia. Reviews of Geophysics, 54(4), 866-929.

Meibodi, A. E., Abdoli, G., Taklif, A. and Morshedi, B., 2015, Economic modeling of the regional polices to combat dust phenomenon by using game theory. Procedia Economics and Finance, 24, 409-418.

Najafi, M. S., Sarraf, B. S., Zarrin, A. and Rasouli, A. A., 2017, Climatology of atmospheric circulation patterns of Arabian dust in western Iran. Environmental Monitoring and Assessment, 189(9), 473.

Nowottnick, E. P., Colarco, P. R., Yorks, J. E., Burton, S. P. and da Silva Jr, A. M., 2017, December. Evaluating Aerosol Optical Properties in the NASA MERRA-2 Reanalysis Using NASA Lidar Observations. In AGU Fall Meeting Abstracts.

Rienecker, M.M., Suarez, M.J., Gelaro, R., Todling, R., Bacmeister, J., Liu, E., Bosilovich, M.G., Schubert, S.D., Takacs, L., Kim, G.K. and Bloom, S.,, 2011, MERRA: NASA’s modern-era retrospective analysis for research and applications. Journal of climate, 24(14), 3624-3648.

Sayer, A. M., Munchak, L. A., Hsu, N. C., Levy, R. C., Bettenhausen, C. and Jeong, M. J., 2014, MODIS Collection 6 aerosol products: Comparison between Aqua's e‐Deep Blue, Dark Target, and “merged” data sets, and usage recommendations. Journal of Geophysical Research: Atmospheres, 119(24), 13-965.

Shao, Y., 2004, Simplification of a dust emission scheme and comparison with data. Journal of Geophysical Research: Atmospheres, 109(D10).

Shao, Y., Ishizuka, M., Mikami, M. and Leys, J. F., 2011, Parameterization of size‐resolved dust emission and validation with measurements. Journal of Geophysical Research: Atmospheres, 116(D8).

Shao, Y., Klose, M. and Wyrwoll, K. H., 2013, Recent global dust trend and connections to climate forcing. Journal of Geophysical Research: Atmospheres, 118(19), 11-107.

Singh, C., Singh, S. K., Chauhan, P. and Budakoti, S., 2021, Simulation of an extreme dust episode using WRF-CHEM based on optimal ensemble approach. Atmospheric Research, 249, 105296.

Su, L. and Fung, J. C., 2015, Sensitivities of WRF‐Chem to dust emission schemes and land surface properties in simulating dust cycles during springtime over East Asia. Journal of Geophysical Research: Atmospheres, 120(21), 11-215.

Xi, X. and Sokolik, I. N., 2016, Quantifying the anthropogenic dust emission from agricultural land use and desiccation of the Aral Sea in Central Asia. Journal of Geophysical Research: Atmospheres, 121(20), 12-270.

Yang, L., Mukherjee, S., Pandithurai, G., Waghmare, V. and Safai, P. D., 2019, Influence of dust and sea-salt sandwich effect on precipitation chemistry over the Western Ghats during summer monsoon. Scientific reports, 9(1), 1-13.

Yoon, J., von Hoyningen-Huene, W., Kokhanovsky, A. A., Vountas, M. and Burrows, J. P., 2012, Trend analysis of aerosol optical thickness and Ångström exponent derived from the global AERONET spectral observations. Atmos. Meas. Tech, 5, 1271-1299.

Yuan, T., Chen, S., Huang, J., Zhang, X., Luo, Y., Ma, X. and Zhang, G., 2019, Sensitivity of simulating a dust storm over Central Asia to different dust schemes using the WRF-Chem model. Atmospheric Environment, 207, 16-29.

Zhang, X.X., Claiborn, C., Lei, J.Q., Vaughan, J., Wu, S.X., Li, S.Y., Liu, L.Y., Wang, Z.F., Wang, Y.D., Huang, S.Y. and Zhou, J., 2020, Aeolian dust in Central Asia: Spatial distribution and temporal variability. Atmospheric Environment, 238, 117734.

Zhao, C., Liu, X., Leung, L.R., Johnson, B., McFarlane, S.A., Gustafson Jr, W.I., Fast, J.D. and Easter, R., 2010, The spatial distribution of mineral dust and its shortwave radiative forcing over North Africa: modeling sensitivities to dust emissions and aerosol size treatments. Atmospheric Chemistry and Physics, 10(18), 8821.