115 citations as recorded by crossref.

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26. Temperate grasslands as a dust source: Knowledge, uncertainties, and challenges M. Shinoda et al. 10.1016/j.aeolia.2011.07.001
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28. An improved method for retrieving nighttime aerosol optical thickness from the VIIRS Day/Night Band T. McHardy et al. 10.5194/amt-8-4773-2015
29. Assimilating AOD retrievals from GOCI and VIIRS to forecast surface PM2.5 episodes over Eastern China J. Pang et al. 10.1016/j.atmosenv.2018.02.011
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38. Vertical aerosol data assimilation technology and application based on satellite and ground lidar: A review and outlook T. Yang et al. 10.1016/j.jes.2022.04.012
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46. The SPRINTARS version 3.80/4D-Var data assimilation system: development and inversion experiments based on the observing system simulation experiment framework K. Yumimoto & T. Takemura 10.5194/gmd-6-2005-2013
47. Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model N. Schutgens et al. 10.3390/rs4113528
48. Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition? M. Kacenelenbogen et al. 10.5194/acp-22-3713-2022
49. Measurement Report: Determination of aerosol vertical features on different timescales over East Asia based on CATS aerosol products Y. Cheng et al. 10.5194/acp-20-15307-2020
50. The Effects of Snow Cover and Soil Moisture on Asian Dust: II. Emission Estimation by Lidar Data Assimilation T. Sekiyama et al. 10.2151/sola.7A-011
51. Climatology of long‐range transported Asian dust along the West Coast of the United States J. Creamean et al. 10.1002/2014JD021694
52. Impact of Assimilating Meteorological Observations on Source Emissions Estimate and Chemical Simulations Z. Peng et al. 10.1029/2020GL089030
53. Improving estimation of a record-breaking east Asian dust storm emission with lagged aerosol Ångström exponent observations Y. Cheng et al. 10.5194/acp-24-12643-2024
54. Inverse modeling analysis of soil dust sources over East Asia B. Ku & R. Park 10.1016/j.atmosenv.2011.06.078
55. Data Assimilation of AOD and Estimation of Surface Particulate Matters over the Arctic K. Han et al. 10.3390/app11041959
56. Impact of the OMI aerosol optical depth on analysis increments through coupled meteorology–aerosol data assimilation for an Asian dust storm E. Lee et al. 10.1016/j.rse.2017.02.013
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58. Asian Dust Transport to Kanto by Flow around Japan's Central Mountains M. Hayasaki et al. 10.2151/sola.7A-009
59. Subregional inversion of North African dust sources J. Escribano et al. 10.1002/2016JD025020
60. Statistical Evaluation of the Temperature Forecast Error in the Lower‐Level Troposphere on Short‐Range Timescales Induced by Aerosol Variability A. Yamagami et al. 10.1029/2022JD036595
61. Land susceptibility to water and wind erosion risks in the East Africa region A. Fenta et al. 10.1016/j.scitotenv.2019.135016
62. Analysis of dust events in 2008 and 2009 using the lidar network, surface observations and the CFORS model N. Sugimoto et al. 10.1007/s13143-013-0004-3
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65. Statistical adjoint sensitivity distributions of meteorological forecast errors of Asian dust transport events in Korea H. Kim et al. 10.3402/tellusb.v65i0.20554
66. Impacts of geostationary satellite measurements on CO forecasting: An observing system simulation experiment with GEOS-Chem/LETKF data assimilation system K. Yumimoto 10.1016/j.atmosenv.2013.03.032
67. Asian dust outflow in the PBL and free atmosphere retrieved by NASA CALIPSO and an assimilated dust transport model Y. Hara et al. 10.5194/acp-9-1227-2009
68. Evaluating the Impact of Emissions Regulations on the Emissions Reduction During the 2015 China Victory Day Parade With an Ensemble Square Root Filter K. Chu et al. 10.1002/2017JD027631
69. The impact of multi-species surface chemical observation assimilation on air quality forecasts in China Z. Peng et al. 10.5194/acp-18-17387-2018
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71. Three-dimensional variational assimilation of Lidar extinction profiles: Application to PM2.5 prediction in north China L. Gao et al. 10.1016/j.atmosenv.2021.118828
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74. Evaluating the impact of multisensor data assimilation on a global aerosol particle transport model J. Zhang et al. 10.1002/2013JD020975
75. The Impact of Ground-Based Observations on the Inverse Technique of Aeolian Dust Aerosol T. Maki et al. 10.2151/sola.7A-006
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77. Biogeochemical implications of increased mineral particle concentrations in surface waters of the northwestern North Pacific during an Asian dust event Y. Iwamoto et al. 10.1029/2010GL045906
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80. Four-dimensional variational assimilation for SO2 emission and its application around the COVID-19 lockdown in the spring 2020 over China Y. Hu et al. 10.5194/acp-22-13183-2022
81. Optical properties of mixed aerosol layers over Japan derived with multi-wavelength Mie–Raman lidar system Y. Hara et al. 10.1016/j.jqsrt.2016.06.038
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83. Machine learning for observation bias correction with application to dust storm data assimilation J. Jin et al. 10.5194/acp-19-10009-2019
84. The characterization of Taklamakan dust properties using a multiwavelength Raman polarization lidar in Kashi, China Q. Hu et al. 10.5194/acp-20-13817-2020
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