182 citations as recorded by crossref.

1. Biomass Burning Plumes in the Vicinity of the California Coast: Airborne Characterization of Physicochemical Properties, Heating Rates, and Spatiotemporal Features A. Mardi et al.
2. Clear-sky aerosol optical depth over East China estimated from visibility measurements and chemical transport modeling J. Lin et al.
3. Satellite NO2 Retrieval Complicated by Aerosol Composition over Global Urban Agglomerations: Seasonal Variations and Long-Term Trends (2001–2018) S. Liu et al.
4. Aerosol meteorology of the Maritime Continent for the 2012 7SEAS southwest monsoon intensive study – Part 1: regional-scale phenomena J. Reid et al.
5. The importance of temporal collocation for the evaluation of aerosol models with observations N. Schutgens et al.
6. An improved dark target method for aerosol optical depth retrieval over China from Himawari-8 L. Gao et al.
7. Development of an Ozone Monitoring Instrument (OMI) aerosol index (AI) data assimilation scheme for aerosol modeling over bright surfaces – a step toward direct radiance assimilation in the UV spectrum J. Zhang et al.
8. Characterizing the vertical profile of aerosol particle extinction and linear depolarization over Southeast Asia and the Maritime Continent: The 2007–2009 view from CALIOP J. Campbell et al.
9. GOCI Yonsei aerosol retrieval version 2 products: an improved algorithm and error analysis with uncertainty estimation from 5-year validation over East Asia M. Choi et al.
10. A Random Forest-Based CO2 Profile Emulator for Real-Time Prior Profile Generation in TanSat XCO2 Retrieval S. Wu et al.
11. Study of MODIS derived AOD at three different locations in the Indo Gangetic Plain: Kanpur, Gandhi College and Nainital P. Choudhry et al.
12. Intercomparison of aerosol optical depths from four reanalyses and their multi-reanalysis consensus P. Xian et al.
13. Long-term statistical assessment of Aqua-MODIS aerosol optical depth over coastal regions: bias characteristics and uncertainty sources J. Anderson et al.
14. Validation, comparison, and integration of GOCI, AHI, MODIS, MISR, and VIIRS aerosol optical depth over East Asia during the 2016 KORUS-AQ campaign M. Choi et al.
15. Airborne hyperspectral observations of surface and cloud directional reflectivity using a commercial digital camera A. Ehrlich et al.
16. Multi-sensor Aerosol Products Sampling System (MAPSS) M. Petrenko et al.
17. Retrieval and Validation of Atmospheric Aerosol Optical Depth From AVHRR Over China L. Gao et al.
18. Insights Into the Morphology of the East Asia PM2.5 Annual Cycle Provided by Machine Learning D. Wu et al.
19. Aerosol Microbiome over the Mediterranean Sea Diversity and Abundance E. Mescioglu et al.
20. Introducing the 4.4 km spatial resolution Multi-Angle Imaging SpectroRadiometer (MISR) aerosol product M. Garay et al.
21. Effects of data assimilation on the global aerosol key optical properties simulations X. Yin et al.
22. Development of a Regression Model for Estimating Daily Radiative Forcing Due to Atmospheric Aerosols from Moderate Resolution Imaging Spectrometers (MODIS) Data in the Indo Gangetic Plain (IGP) S. Shrestha et al.
23. Sensitivity of infrared sea surface temperature retrievals to the vertical distribution of airborne dust aerosol A. Bogdanoff et al.
24. Comparison of MODIS 3 km and 10 km resolution aerosol optical depth retrievals over land with airborne sunphotometer measurements during ARCTAS summer 2008 J. Livingston et al.
25. Local Emissions and Regional Wildfires Influence Refractory Black Carbon Observations Near Palmer Station, Antarctica A. Khan et al.
26. Importance of Bias Correction in Data Assimilation of Multiple Observations Over Eastern China Using WRF‐Chem/DART C. Ma et al.
27. Critical evaluation of cloud contamination in the MISR aerosol products using MODIS cloud mask products Y. Shi et al.
28. Data Assimilation of Himawari-8 Aerosol Observations: Asian Dust Forecast in June 2015 T. Sekiyama et al.
29. Handling Missing Data in Large-Scale MODIS AOD Products Using a Two-Step Model Y. Chi et al.
30. Validation and empirical correction of MODIS AOT and AE over ocean N. Schutgens et al.
31. Interactions between biomass-burning aerosols and clouds over Southeast Asia: Current status, challenges, and perspectives N. Lin et al.
32. Spatial features of rain frequency change and pollution and associated aerosols Y. Lin et al.
33. The Collection 6 MODIS aerosol products over land and ocean R. Levy et al.
34. Supporting Weather Forecasters in Predicting and Monitoring Saharan Air Layer Dust Events as They Impact the Greater Caribbean A. Kuciauskas et al.
35. Contrasting seasonal pattern between ground-based PM2.5 and MODIS satellite-based aerosol optical depth (AOD) at an urban site in Hanoi, Vietnam N. Luong et al.
36. Discerning the pre-monsoon urban atmosphere aerosol characteristic and its potential source type remotely sensed by AERONET over the Bengal Gangetic plain B. Priyadharshini et al.
37. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al.
38. Improved hourly estimate of aerosol optical thickness over Asian land by fusing geostationary satellites Fengyun-4B and Himawari-9 Y. Cheng et al.
39. Evaluation of the MISR fine resolution aerosol product using MODIS, MISR, and ground observations over China Y. Si et al.
40. Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system A. Tsikerdekis et al.
41. Applying Advanced Ground-Based Remote Sensing in the Southeast Asian Maritime Continent to Characterize Regional Proficiencies in Smoke Transport Modeling J. Campbell et al.
42. Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program J. Reid et al.
43. Simulation of long-term direct aerosol radiative forcing over the arctic within the framework of the iAREA project K. Markowicz et al.
44. Assimilation of POLDER observations to estimate aerosol emissions A. Tsikerdekis et al.
45. Coherent uncertainty analysis of aerosol measurements from multiple satellite sensors M. Petrenko & C. Ichoku
46. Observations of the Interaction and Transport of Fine Mode Aerosols With Cloud and/or Fog in Northeast Asia From Aerosol Robotic Network and Satellite Remote Sensing T. Eck et al.
47. Satellite perspective of aerosol intercontinental transport: From qualitative tracking to quantitative characterization H. Yu et al.
48. Validation, Stability, and Consistency of MODIS Collection 6.1 and VIIRS Version 1 Deep Blue Aerosol Data Over Land A. Sayer et al.
49. Optical and Microphysical Characterization of Atmospheric Aerosols in Chad Based on Satellite Observations B. Francois et al.
50. Data assimilation strategies for state‐dependent observation error variances C. Bishop
51. Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm L. Li et al.
52. The impact of resolution on meteorological, chemical and aerosol properties in regional simulations with WRF-Chem P. Crippa et al.
53. Spatio-temporal distribution of aerosol direct radiative forcing over mid-latitude regions in north hemisphere estimated from satellite observations A. Chen et al.
54. Improving Surface PM2.5 Forecasts in the United States Using an Ensemble of Chemical Transport Model Outputs: 2. Bias Correction With Satellite Data for Rural Areas H. Zhang et al.
55. Applying the Dark Target Aerosol Algorithm to MERSI-II: Retrieval and Validation of Aerosol Optical Depth over the Ocean X. Pei et al.
56. Impact of data quality and surface-to-column representativeness on the PM2.5 / satellite AOD relationship for the contiguous United States T. Toth et al.
57. Retrieving tropospheric nitrogen dioxide from the Ozone Monitoring Instrument: effects of aerosols, surface reflectance anisotropy, and vertical profile of nitrogen dioxide J. Lin et al.
58. JRAero: the Japanese Reanalysis for Aerosol v1.0 K. Yumimoto et al.
59. Simulations of the effect of intensive biomass burning in July 2015 on Arctic radiative budget K. Markowicz et al.
60. Relationship of MISR component AODs with black carbon and other ground monitored particulate matter composition Z. Muhammad & K. Nguyen Thi
61. Development towards a global operational aerosol consensus: basic climatological characteristics of the International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME) W. Sessions et al.
62. The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 1: Aerosol evaluation I. Tegen et al.
63. Evaluation of MODIS aerosol retrieval algorithms over the Beijing‐Tianjin‐Hebei region during low to very high pollution events M. Bilal & J. Nichol
64. Intercomparison of MODIS, MISR, OMI, and CALIPSO aerosol optical depth retrievals for four locations on the Indo-Gangetic plains and validation against AERONET data H. Bibi et al.
65. Contribution of Satellite Observations in the Optical and Microphysical Characterization of Aerosols in Burkina Faso, West Africa N. Bado et al.
66. Fire emission heights in the climate system – Part 2: Impact on transport, black carbon concentrations and radiation A. Veira et al.
67. Assessment of the relationship between satellite AOD and ground PM10 measurement data considering synoptic meteorological patterns and Lidar data M. Zeeshan & N. Kim Oanh
68. Particulate emissions from large North American wildfires estimated using a new top-down method T. Nikonovas et al.
69. Evaluating nighttime CALIOP 0.532 μm aerosol optical depth and extinction coefficient retrievals J. Campbell et al.
70. Vertical structure of aerosols, temperature, and moisture associated with an intense African dust event observed over the eastern Caribbean E. Jung et al.
71. Interpretation of satellite retrievals of PM2.5 over the southern African Interior M. Kneen et al.
72. A Novel Cloud Detection Algorithm Based on Simplified Radiative Transfer Model for Aerosol Retrievals: Preliminary Result on Himawari-8 Over Eastern China E. Li et al.
73. Performance Assessment of MODIS Dark Target and Deep Blue Aerosol Retrieval Algorithms Using AERONET Observations: A Case Study over Jaipur, Karunya University, and Broader Indian Regions M. Anitha & L. Kumar
74. Validation of MODIS 3 km land aerosol optical depth from NASA's EOS Terra and Aqua missions P. Gupta et al.
75. A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces M. Bilal et al.
76. Known and unknown unknowns: uncertainty estimation in satellite remote sensing A. Povey & R. Grainger
77. Global Chemical Composition of Ambient Fine Particulate Matter for Exposure Assessment S. Philip et al.
78. Global simulations of aerosol amount and size using MODIS observations assimilated with an Ensemble Kalman Filter J. Rubin & W. Collins
79. Diurnal time representation of MODIS, VIIRS, MISR, and AHI over Asia and Oceania Z. Yang et al.
80. Empirical Correlation Weighting (ECW) Spatial Interpolation Method for Satellite Aerosol Optical Depth Products by MODIS AOD over Northern China in 2016 Y. Wang et al.
81. Investigating the Spatial and Temporal Limitations for Remote Sensing of Wildfire Smoke Using Satellite and Airborne Imagers During FIREX‐AQ Y. Shi et al.
82. Exploring the first aerosol indirect effect over Southeast Asia using a 10-year collocated MODIS, CALIOP, and model dataset A. Ross et al.
83. An 11-year global gridded aerosol optical thickness reanalysis (v1.0) for atmospheric and climate sciences P. Lynch et al.
84. Assessment of severe aerosol events from NASA MODIS and VIIRS aerosol products for data assimilation and climate continuity A. Gumber et al.
85. Impact of Moderate Resolution Imaging Spectroradiometer Aerosol Optical Depth and AirNow PM2.5 assimilation on Community Multi‐scale Air Quality aerosol predictions over the contiguous United States T. Chai et al.
86. Multiconstituent Data Assimilation With WRF‐Chem/DART: Potential for Adjusting Anthropogenic Emissions and Improving Air Quality Forecasts Over Eastern China C. Ma et al.
87. Holistics 3.0 for Health D. Lary et al.
88. CSIF and GOSIF Do Not Accurately Capture the Vegetation Greening During the Spring of 2020 Y. Du et al.
89. A decadal satellite analysis of the origins and impacts of smoke in Colorado M. Val Martin et al.
90. Changes in atmospheric aerosol loading retrieved from space-based measurements during the past decade J. Yoon et al.
91. Intercomparison and Validation of Satellite and Ground-Based Aerosol Optical Depth (AOD) Retrievals over Six AERONET Sites in West Africa K. Ogunjobi & P. Awoleye
92. Enhancing dust aerosols monitoring capabilities across North Africa and the Middle East using the A-Train satellite constellation A. Moustaka et al.
93. Critical evaluation of the MODIS Deep Blue aerosol optical depth product for data assimilation over North Africa Y. Shi et al.
94. Estimating spatio-temporal resolved PM10 aerosol mass concentrations using MODIS satellite data and land use regression over Lombardy, Italy F. Nordio et al.
95. Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter Y. Cheng et al.
96. Revisiting the relationship between Atlantic dust and tropical cyclone activity using aerosol optical depth reanalyses: 2003–2018 P. Xian et al.
97. Validation of satellite and model aerosol optical depth and precipitable water vapour observations with AERONET data over Pune, India K. Vijayakumar et al.
98. Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP) P. Xian et al.
99. Assessment of NAAPS-RA performance in Maritime Southeast Asia during CAMP2Ex E. Edwards et al.
100. Critical Corrections of MODIS Over-Land Aerosol Optical Depth Data From 2016 to 2017 for Near Real Time Applications X. Shen et al.
101. Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al.
102. The changing radiative forcing of fires: global model estimates for past, present and future D. Ward et al.
103. Daily seamless reconstruction of aerosol optical depth product from a single satellite data source using the novel stream method X. Zhang et al.
104. Implications of MODIS bow-tie distortion on aerosol optical depth retrievals, and techniques for mitigation A. Sayer et al.
105. Towards gridded nighttime aerosol optical thickness retrievals using VIIRS day–night band observations over regions with artificial light sources J. Zhang et al.
106. Temporal variability of aerosol optical thickness vertical distribution observed from CALIOP T. Toth et al.
107. A surface reflectance scheme for retrieving aerosol optical depth over urban surfaces in MODIS Dark Target retrieval algorithm P. Gupta et al.
108. Mapping exposure to particulate pollution during severe haze episode using improved MODIS AOT‐PM10 regression model with synoptic meteorology classification K. Leelasakultum & N. Kim Oanh
109. Spatiotemporal Variations in Summertime Arctic Aerosol Optical Depth Caused by Synoptic‐Scale Atmospheric Circulation in Three Reanalyses A. Yamagami et al.
110. Aerosol properties over the Indo-Gangetic Plain: A mesoscale perspective from the TIGERZ experiment D. Giles et al.
111. Improving the Accuracy of Daily Satellite-Derived Ground-Level Fine Aerosol Concentration Estimates for North America A. van Donkelaar et al.
112. Impact of satellite viewing-swath width on global and regional aerosol optical thickness statistics and trends P. Colarco et al.
113. Exploring systematic offsets between aerosol products from the two MODIS sensors R. Levy et al.
114. Evaluating the impact of assimilating CALIOP-derived aerosol extinction profiles on a global mass transport model J. Zhang et al.
115. Using Machine Learning to Estimate Global PM2.5 for Environmental Health Studies D. Lary et al.
116. The influence and contribution of fine mode particles to aerosol optical properties during haze events at the foothills of Himalaya-Karakorum region S. Mohyuddin et al.
117. A Novel Aerosol Load Index Using MODIS Visible Bands: Applied to South-West Part of Iran S. Bahramvash Shams & A. Mohammadzadeh
118. Estimating the effective spatial resolution of the operational BRDF, albedo, and nadir reflectance products from MODIS and VIIRS M. Campagnolo et al.
119. Assimilation of MODIS Dark Target and Deep Blue observations in the dust aerosol component of NMMB-MONARCH version 1.0 E. Di Tomaso et al.
120. Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals Over Asia J. Nichol & M. Bilal
121. Investigating size-segregated sources of elemental composition of particulate matter in the South China Sea during the 2011 Vasco cruise M. Hilario et al.
122. Himawari-8/AHI Aerosol Optical Depth Detection Based on Machine Learning Algorithm Y. Chen et al.
123. Evaluation of Polarized Remote Sensing of Aerosol Optical Thickness Retrieval over China H. Chen et al.
124. Development and Evaluation of a North America Ensemble Wildfire Air Quality Forecast: Initial Application to the 2020 Western United States “Gigafire” P. Makkaroon et al.
125. The Sensitivity of AOD Retrieval to Aerosol Type and Vertical Distribution over Land with MODIS Data Y. Wu et al.
126. Assessment of long-range transboundary aerosols in Seoul, South Korea from Geostationary Ocean Color Imager (GOCI) and ground-based observations S. Lee et al.
127. ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set A. Gkikas et al.
128. Validation of Aqua-MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan M. Bilal et al.
129. Temporal and spatial variability of aerosol optical depth over South India as inferred from MODIS T. Kiran Kumar et al.
130. Status and future of numerical atmospheric aerosol prediction with a focus on data requirements A. Benedetti et al.
131. Towards the assimilation of satellite reflectance into semi-distributed ensemble snowpack simulations B. Cluzet et al.
132. Contrasting cloud composition between coupled and decoupled marine boundary layer clouds Z. Wang et al.
133. Atmospheric black carbon and warming effects influenced by the source and absorption enhancement in central Europe S. Nordmann et al.
134. AERONET-based models of smoke-dominated aerosol near source regions and transported over oceans, and implications for satellite retrievals of aerosol optical depth A. Sayer et al.
135. Mesoscale modeling of smoke transport from equatorial Southeast Asian Maritime Continent to the Philippines: First comparison of ensemble analysis with in situ observations C. Ge et al.
136. A review and framework for the evaluation of pixel-level uncertainty estimates in satellite aerosol remote sensing A. Sayer et al.
137. Aerosol effects on the UV irradiance in Santiago de Chile R. Cordero et al.
138. East Asian dust storm in March 2021: Perspective views from ground observation, satellite measurement and numerical simulation Y. Xue et al.
139. Hourly Aerosol Assimilation of Himawari‐8 AOT Using the Four‐Dimensional Local Ensemble Transform Kalman Filter T. Dai et al.
140. How to Measure the Amount of Aerosol Optical Thickness in the Atmosphere in a Simple Way: A Calitoo Handheld Sun-Photometer Measurement A. Bayat & A. Assarenayati
141. Evaluation of Aqua MODIS Collection 6 AOD Parameters for Air Quality Research over the Continental United States J. Belle & Y. Liu
142. Near‐Surface Refractory Black Carbon Observations in the Atmosphere and Snow in the McMurdo Dry Valleys, Antarctica, and Potential Impacts of Foehn Winds A. Khan et al.
143. Bayesian aerosol retrieval algorithm for MODIS AOD retrieval over land A. Lipponen et al.
144. Evaluation and modification of SARA high-resolution AOD retrieval algorithm during high dust loading conditions over bright desert surfaces N. Karimi et al.
145. Impact of North American intense fires on aerosol optical properties measured over the European Arctic in July 2015 K. Markowicz et al.
146. Evaluation of spatio-temporal variability of Hamburg Aerosol Climatology against aerosol datasets from MODIS and CALIOP V. Pappas et al.
147. Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS) and its application of the Data Assimilation Research Testbed (DART) in support of aerosol forecasting J. Rubin et al.
148. Influence of aerosols and surface reflectance on satellite NO2 retrieval: seasonal and spatial characteristics and implications for NOx emission constraints J. Lin et al.
149. Assessing the Challenges of Surface‐Level Aerosol Mass Estimates From Remote Sensing During the SEAC4RS and SEARCH Campaigns: Baseline Surface Observations and Remote Sensing in the Southeastern United States K. Kaku et al.
150. A novel methodology for calculating the aerosol direct radiative effect using a non-uniform five-dimensional lookup table Z. Shi et al.
151. Evidence of haze-driven secondary production of supermicrometer aerosol nitrate and sulfate in size distribution data in South Korea J. Schlosser et al.
152. Comparison of AVHRR aerosol optical depth production against CARSNET data in China X. Han et al.
153. The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future L. Remer et al.
154. A MODIS-based modeling scheme for the estimation of downward surface shortwave radiation under cloud-free conditions E. Javadnia et al.
155. Effect of the Aerosol Model Assumption on the Atmospheric Correction over Land: Case Studies with CHRIS/PROBA Hyperspectral Images over Benelux C. Tirelli et al.
156. Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes P. Xian et al.
157. Multi-scale meteorological conceptual analysis of observed active fire hotspot activity and smoke optical depth in the Maritime Continent J. Reid et al.
158. Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S‐NPP VIIRS as Part of the “Deep Blue” Aerosol Project A. Sayer et al.
159. A critical examination of spatial biases between MODIS and MISR aerosol products – application for potential AERONET deployment Y. Shi et al.
160. Aerosol optical depth assimilation for a size-resolved sectional model: impacts of observationally constrained, multi-wavelength and fine mode retrievals on regional scale analyses and forecasts P. Saide et al.
161. Satellite and surface-based remote sensing of Southeast Asian aerosols and their radiative effects N. Feng & S. Christopher
162. Smoke-charged vortex doubles hemispheric aerosol in the middle stratosphere and buffers ozone depletion C. Ma et al.
163. Global and regional evaluation of over-land spectral aerosol optical depth retrievals from SeaWiFS A. Sayer et al.
164. Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms M. Bilal et al.
165. Towards a long-term global aerosol optical depth record: applying a consistent aerosol retrieval algorithm to MODIS and VIIRS-observed reflectance R. Levy et al.
166. Theoretical Uncertainty Analysis of Satellite Retrieved Aerosol Optical Depth Associated with Surface Albedo and Aerosol Optical Properties J. Huang et al.
167. Measurement-based climatology of aerosol direct radiative effect, its sensitivities, and uncertainties from a background southeast US site J. Sherman & A. McComiskey
168. Estimating ground-level PM2.5 in eastern China using aerosol optical depth determined from the GOCI satellite instrument J. Xu et al.
169. Smoke aerosol transport patterns over the Maritime Continent P. Xian et al.
170. A new method of satellite-based haze aerosol monitoring over the North China Plain and a comparison with MODIS Collection 6 aerosol products X. Yan et al.
171. East Asian dust storm in May 2017: observations, modelling, and its influence on the Asia-Pacific region X. Zhang et al.
172. Evaluating the skill of high-resolution WRF-Chem simulations in describing drivers of aerosol direct climate forcing on the regional scale P. Crippa et al.
173. Effect of MODIS Terra radiometric calibration improvements on Collection 6 Deep Blue aerosol products: Validation and Terra/Aqua consistency A. Sayer et al.
174. Evaluation and comparison of MODIS aerosol optical depth retrieval algorithms over Brazil A. Rudke et al.
175. Evaluation of MODIS columnar aerosol retrievals using AERONET in semi-arid Nevada and California, U.S.A., during the summer of 2012 S. Loría-Salazar et al.
176. Mitigating Satellite‐Based Fire Sampling Limitations in Deriving Biomass Burning Emission Rates: Application to WRF‐Chem Model Over the Northern sub‐Saharan African Region J. Wang et al.
177. Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements A. Sayer et al.
178. Six global biomass burning emission datasets: intercomparison and application in one global aerosol model X. Pan et al.
179. Prediction of aerosol optical depth in West Asia using deterministic models and machine learning algorithms S. Nabavi et al.
180. Development and implementation of a remote-sensing and in situ data-assimilating version of CMAQ for operational PM 2.5 forecasting. Part 1: MODIS aerosol optical depth (AOD) data-assimilation design and testing J. McHenry et al.
181. Improvement of aerosol optical properties modeling over Eastern Asia with MODIS AOD assimilation in a global non-hydrostatic icosahedral aerosol transport model T. Dai et al.
182. Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 1: Climatology and trend P. Xian et al.