145 citations as recorded by crossref.

1. The impact of altering emission data precision on compression efficiency and accuracy of simulations of the community multiscale air quality model M. Walters & D. Wong 10.5194/gmd-16-1179-2023
2. Technical note: AQMEII4 Activity 1: evaluation of wet and dry deposition schemes as an integral part of regional-scale air quality models S. Galmarini et al. 10.5194/acp-21-15663-2021
3. Source apportionment of PM2.5 episodes in the Taichung metropolitan area, Taiwan M. Chuang et al. 10.1016/j.atmosres.2024.107666
4. Prediction of secondary organic aerosol from the multiphase reaction of gasoline vapor by using volatility–reactivity base lumping S. Han & M. Jang 10.5194/acp-22-625-2022
5. Emissions of condensable organic aerosols from stationary combustion sources over Japan Y. Morino et al. 10.1016/j.atmosenv.2022.119319
6. Secondary organic aerosol association with cardiorespiratory disease mortality in the United States H. Pye et al. 10.1038/s41467-021-27484-1
7. Sensitivity of northeastern US surface ozone predictions to the representation of atmospheric chemistry in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMMv1.0) B. Place et al. 10.5194/acp-23-9173-2023
8. Atmospheric deposition of reactive nitrogen to a deciduous forest in the southern Appalachian Mountains J. Walker et al. 10.5194/bg-20-971-2023
9. Reducing the burden of anaemia in Indian women of reproductive age with clean-air targets E. Chaudhary et al. 10.1038/s41893-022-00944-2
10. Regional aerosol forecasts based on deep learning and numerical weather prediction Y. Qiu et al. 10.1038/s41612-023-00397-0
11. The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) modeling system version 5.3.2 B. Murphy et al. 10.5194/gmd-14-3407-2021
12. Assessing mass balance-based inverse modeling methods via a pseudo-observation test to constrain NOx emissions over South Korea J. Mun et al. 10.1016/j.atmosenv.2022.119429
13. Impacts assessment of nitrification inhibitors on U.S. agricultural emissions of reactive nitrogen gases L. Luo et al. 10.1016/j.jenvman.2024.121043
14. Modeling Analysis of Nocturnal Nitrate Formation Pathways during Co-Occurrence of Ozone and PM2.5 Pollution in North China Plain W. Dai et al. 10.3390/atmos15101220
15. Evaluating long-term reductions in trace metal emissions from shipping in Shanghai M. Wang et al. 10.1016/j.jhazmat.2024.136367
16. Dry Deposition Methods Based on Turbulence Kinetic Energy: 1. Evaluation of Various Resistances and Sensitivity Studies Using a Single‐Point Model K. Alapaty et al. 10.1029/2022JD036631
17. Impact of Urbanization on Meteorology and Air Quality in Chengdu, a Basin City of Southwestern China H. Wang et al. 10.3389/fevo.2022.845801
18. Characterizing variations in ambient PM2.5 concentrations at the U.S. Embassy in Dhaka, Bangladesh using observations and the CMAQ modeling system G. Sarwar et al. 10.1016/j.atmosenv.2023.119587
19. Striking impacts of biomass burning on PM2.5 concentrations in Northeast China through the emission inventory improvement L. Chen et al. 10.1016/j.envpol.2022.120835
20. Determination of major drive of ozone formation and improvement of O3 prediction in typical North China Plain based on interpretable random forest model L. Yao et al. 10.1016/j.scitotenv.2024.173193
21. A geospatial modeling approach to quantifying the risk of exposure to environmental chemical mixtures via a common molecular target K. Eccles et al. 10.1016/j.scitotenv.2022.158905
22. Anthropogenic secondary organic aerosol and ozone production from asphalt-related emissions K. Seltzer et al. 10.1039/D3EA00066D
23. Characterizing Regional Ozone Concentration Changes Due to the Adoption of Eco-Friendly Vehicles in South Korea C. Yang et al. 10.5322/JESI.2023.32.9.613
24. Air quality and health impacts of the 2020 wildfires in California M. Carreras-Sospedra et al. 10.1186/s42408-023-00234-y
25. Substantial Near-Surface Spring Ozone Enhancement due to Stratospheric Intrusion in the Northeastern Qinghai–Tibet Plateau, China C. Li et al. 10.3389/fenvs.2022.894937
26. Significant impact of urban tree biogenic emissions on air quality estimated by a bottom-up inventory and chemistry transport modeling A. Maison et al. 10.5194/acp-24-6011-2024
27. Modeling Biogenic Volatile Organic Compounds Emissions and Subsequent Impacts on Ozone Air Quality in the Sichuan Basin, Southwestern China S. Zhang et al. 10.3389/fevo.2022.924944
28. Predictions of PFAS regional-scale atmospheric deposition and ambient air exposure E. D'Ambro et al. 10.1016/j.scitotenv.2023.166256
29. Evaluation of air quality simulation with a coupled atmosphere-ocean model: A case study on natural marine and biogenic emissions S. Cho et al. 10.1016/j.scitotenv.2023.163021
30. Analyzing the Changes in O3 Concentration due to Reduction in Emissions in a Metropolitan Area : A Case Study of Busan during the Summer of 2019 H. Choe et al. 10.5322/JESI.2023.32.7.503
31. A Hybrid Spatiotemporal Deep Model Based on CNN and LSTM for Air Pollution Prediction S. Tsokov et al. 10.3390/su14095104
32. THE OPTIMAL SETTINGS FOR THE ONLINE-INTEGRATED MODEL ENVIRO-HIRLAM IN ORDER TO SIMULATE THE ATMOSPHERE-CHEMISTRY INTERACTION FOR THE UKRAINIAN TERRITORY M. Savenets & L. Pysarenko 10.15407/Meteorology2022.02.035
33. Role of Dust and Iron Solubility in Sulfate Formation during the Long-Range Transport in East Asia Evidenced by 17O-Excess Signatures S. Itahashi et al. 10.1021/acs.est.2c03574
34. Assessing the impact of shipping emissions on ozone concentrations in East Asia: Insights from KORUS-AQ and SIJAQ 2021 campaign periods J. Park et al. 10.1016/j.atmosenv.2024.120339
35. Modeling polycyclic aromatic hydrocarbons (PAHs) concentrations from wildfires in California S. Zhu et al. 10.1016/j.agrformet.2024.110043
36. Adjusting elemental carbon emissions in Northeast Asia using observed surface concentrations of downwind area and simulated contributions Y. Kang et al. 10.1016/j.envint.2023.108069
37. Quantifying China's iron and steel industry's CO2 emissions and environmental health burdens: A pathway to sustainable transformation W. Wu et al. 10.1016/j.ese.2023.100367
38. Air pollution impacts from warehousing in the United States uncovered with satellite data G. Kerr et al. 10.1038/s41467-024-50000-0
39. An updated modeling framework to simulate Los Angeles air quality – Part 1: Model development, evaluation, and source apportionment E. Pennington et al. 10.5194/acp-24-2345-2024
40. A New Aerosol Dry Deposition Model for Air Quality and Climate Modeling J. Pleim et al. 10.1029/2022MS003050
41. On the sources of ambient SOA in PM2.5: An integrated analysis over Jinan city of China L. Fan et al. 10.1016/j.apr.2023.102008
42. Effects of chemical mechanism and meteorological factors on the concentration of atmospheric pollutants in the megacity Beijing, China Y. Li et al. 10.1016/j.atmosenv.2024.120393
43. Unrecognized pollution by inorganic condensable particulate matter in the atmosphere M. Li et al. 10.1007/s10311-023-01644-9
44. Assessment of Airport-Related Emissions and Their Impact on Air Quality in Atlanta, GA, Using CMAQ and TROPOMI A. Lawal et al. 10.1021/acs.est.1c03388
45. Spatiotemporally Detailed Quantification of Air Quality Benefits of Emissions Reductions–Part I: Benefit-per-Ton Estimates for Canada and the U.S. S. Zhao et al. 10.1021/acsestair.4c00127
46. Prenatal exposure to air pollutant mixtures and birthweight in the upstate KIDS cohort I. Trees et al. 10.1016/j.envint.2024.108692
47. Modeling secondary organic aerosol formation from volatile chemical products E. Pennington et al. 10.5194/acp-21-18247-2021
48. Health and economic cost estimates of short-term total and wildfire PM2.5exposure on work loss: using the consecutive California Health Interview Survey (CHIS) data 2015–2018 Y. Meng et al. 10.1136/bmjph-2023-000491
49. The Chesapeake Bay program modeling system: Overview and recommendations for future development R. Hood et al. 10.1016/j.ecolmodel.2021.109635
50. An improved framework for efficiently modeling organic aerosol (OA) considering primary OA evaporation and secondary OA formation from VOCs, IVOCs, and SVOCs L. Huang et al. 10.1039/D4EA00060A
51. Role of chemical production and depositional losses on formaldehyde in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM) T. Skipper et al. 10.5194/acp-24-12903-2024
52. Regional background ozone estimation for China through data fusion of observation and simulation Z. Sun et al. 10.1016/j.scitotenv.2023.169411
53. Non-stop industries were the main source of air pollution during the 2020 coronavirus lockdown in the North China Plain Z. Li et al. 10.1007/s10311-021-01314-8
54. Observation-based constraints on modeled aerosol surface area: implications for heterogeneous chemistry R. Bergin et al. 10.5194/acp-22-15449-2022
55. Revisiting day-of-week ozone patterns in an era of evolving US air quality H. Simon et al. 10.5194/acp-24-1855-2024
56. Regional temperature-ozone relationships across the U.S. under multiple climate and emissions scenarios C. Nolte et al. 10.1080/10962247.2021.1970048
57. Climate adjusted projections of the distribution and frequency of poor air quality days for the contiguous United States B. Wilson et al. 10.3389/feart.2024.1320170
58. Long-term regional trends of nitrogen and sulfur deposition in the United States from 2002 to 2017 S. Benish et al. 10.5194/acp-22-12749-2022
59. Effects of Non‐Photosynthetic Vegetation on Dust Emissions X. Huang & H. Foroutan 10.1029/2021JD035243
60. A novel machine learning-based artificial intelligence method for predicting the air pollution index PM2.5 L. Zhao et al. 10.1016/j.jclepro.2024.143042
61. The impacts of marine-emitted halogens on OH radicals in East Asia during summer S. Fan & Y. Li 10.5194/acp-22-7331-2022
62. Auto-Modal: Air-Quality Index Forecasting with Modal Decomposition Attention Y. Guo et al. 10.3390/s22186953
63. Exploring the effects of land use and land cover changes on meteorology and air quality over Sichuan Basin, southwestern China Y. Lu et al. 10.3389/fevo.2023.1131389
64. A systematic comparison of different machine learning models for the spatial estimation of air pollution E. Cerezuela-Escudero et al. 10.1007/s10489-023-05109-y
65. Long-term urban air quality prediction with hierarchical attention loop network H. Zheng et al. 10.1016/j.scs.2024.106010
66. Time-sensitive prediction of NO2 concentration in China using an ensemble machine learning model from multi-source data C. Tao et al. 10.1016/j.jes.2023.02.026
67. AMORE-Isoprene v1.0: a new reduced mechanism for gas-phase isoprene oxidation F. Wiser et al. 10.5194/gmd-16-1801-2023
68. Reactive organic carbon air emissions from mobile sources in the United States B. Murphy et al. 10.5194/acp-23-13469-2023
69. Evaluation of the NAQFC driven by the NOAA Global Forecast System (version 16): comparison with the WRF-CMAQ during the summer 2019 FIREX-AQ campaign Y. Tang et al. 10.5194/gmd-15-7977-2022
70. LESO: A ten-year ensemble of satellite-derived intercontinental hourly surface ozone concentrations S. Zhu et al. 10.1038/s41597-023-02656-4
71. Pollution and transport of atmospheric PAHs in Xinjiang: Observation at a high-altitude background site combined with numerical simulation Z. Zhen et al. 10.1016/j.apr.2022.101634
72. Frequent haze events associated with transport and stagnation over the corridor between the North China Plain and Yangtze River Delta F. Yan et al. 10.5194/acp-24-2365-2024
73. Unveiling vertical ozone variation with UAV-Based monitoring and modeling: A new challenge for city-level ozone pollution control in the pearl river delta region H. Xu et al. 10.1016/j.atmosenv.2024.120368
74. Human-Health Impacts of Controlling Secondary Air Pollution Precursors H. Pye et al. 10.1021/acs.estlett.1c00798
75. Lightning assimilation in the WRF model (Version 4.1.1): technique updates and assessment of the applications from regional to hemispheric scales D. Kang et al. 10.5194/gmd-15-8561-2022
76. Ground ozone rise during the 2022 shanghai lockdown caused by the unfavorable emission reduction ratio of nitrogen oxides and volatile organic compounds Q. Wang et al. 10.1016/j.atmosenv.2024.120851
77. Utility of Geostationary Lightning Mapper-derived lightning NO emission estimates in air quality modeling studies P. Cheng et al. 10.5194/acp-24-41-2024
78. Modeling the Oxygen Isotope Anomaly (Δ17O) of Reactive Nitrogen in the Community Multiscale Air Quality Model: Insights into Nitrogen Oxide Chemistry in the Northeastern United States W. Walters et al. 10.1021/acsestair.3c00056
79. Extreme Emission Reduction Requirements for China to Achieve World Health Organization Global Air Quality Guidelines Y. Jiang et al. 10.1021/acs.est.2c09164
80. Experimental development of a lake spray source function and its model implementation for Great Lakes surface emissions C. Harb & H. Foroutan 10.5194/acp-22-11759-2022
81. Brazilian Atmospheric Inventories – BRAIN: a comprehensive database of air quality in Brazil L. Hoinaski et al. 10.5194/essd-16-2385-2024
82. High frequency of new particle formation events driven by summer monsoon in the central Tibetan Plateau, China L. Tang et al. 10.5194/acp-23-4343-2023
83. Linking gas, particulate, and toxic endpoints to air emissions in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM) H. Pye et al. 10.5194/acp-23-5043-2023
84. Distinctive features of inorganic PM1.0 components during winter pollution events over the upwind and downwind regions in Northeast Asia S. Itahashi et al. 10.1016/j.atmosenv.2023.119943
85. Enabling high-performance cloud computing for the Community Multiscale Air Quality Model (CMAQ) version 5.3.3: performance evaluation and benefits for the user community C. Efstathiou et al. 10.5194/gmd-17-7001-2024
86. Advancing the community health vulnerability index for wildland fire smoke exposure J. Jung et al. 10.1016/j.scitotenv.2023.167834
87. A quantitative assessment and process analysis of the contribution from meteorological conditions in an O3 pollution episode in Guangzhou, China Y. Xu et al. 10.1016/j.atmosenv.2023.119757
88. Development of the MPAS-CMAQ coupled system (V1.0) for multiscale global air quality modeling D. Wong et al. 10.5194/gmd-17-7855-2024
89. The Modeling Study about Impacts of Emission Control Policies for Chinese 14th Five-Year Plan on PM2.5 and O3 in Yangtze River Delta, China Z. Li et al. 10.3390/atmos13010026
90. Evaluation of the offline-coupled GFSv15–FV3–CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States X. Chen et al. 10.5194/gmd-14-3969-2021
91. Assessing the tradeoffs in emissions, air quality and health benefits from excess power generation due to climate-related policies for the transportation sector C. Efstathiou et al. 10.1088/1748-9326/ad41f1
92. Opinion: Coordinated development of emission inventories for climate forcers and air pollutants S. Smith et al. 10.5194/acp-22-13201-2022
93. rfasst: An R tool to estimate air pollution impacts on health and agriculture J. Sampedro et al. 10.21105/joss.03820
94. High-resolution air quality simulations of ozone exceedance events during the Lake Michigan Ozone Study R. Pierce et al. 10.5194/acp-23-9613-2023
95. Bridging existing energy and chemical transport models to enhance air quality policy assessment S. Ngo et al. 10.1016/j.envsoft.2024.106218
96. Prescribed burn related increases of population exposure to PM2.5 and O3 pollution in the southeastern US over 2013–2020 K. Maji et al. 10.1016/j.envint.2024.109101
97. Evaluating Data Product Exposure Metrics for Use in Epidemiologic Studies of Dust Storms K. Hohsfield et al. 10.1029/2023GH000824
98. Diverging trends in aerosol sulfate and nitrate measured in the remote North Atlantic in Barbados are attributed to clean air policies, African smoke, and anthropogenic emissions C. Gaston et al. 10.5194/acp-24-8049-2024
99. Examining the Impact of Dimethyl Sulfide Emissions on Atmospheric Sulfate over the Continental U.S. G. Sarwar et al. 10.3390/atmos14040660
100. Quantitative analysis of sulfate formation from crop burning in Northeast China: Unveiling the primary processes and transboundary transport to South Korea D. Kim et al. 10.1016/j.atmosres.2024.107303
101. The formation and transport of HNO3 over the Yellow Sea and its impact on the January 2018 PM2.5 episode in Seoul H. Park et al. 10.1039/D4EA00034J
102. An analysis of CMAQ gas-phase dry deposition over North America through grid-scale and land-use-specific diagnostics in the context of AQMEII4 C. Hogrefe et al. 10.5194/acp-23-8119-2023
103. A multi-site passive approach to studying the emissions and evolution of smoke from prescribed fires R. El Asmar et al. 10.5194/acp-24-12749-2024
104. Two-way coupled meteorology and air quality models in Asia: a systematic review and meta-analysis of impacts of aerosol feedbacks on meteorology and air quality C. Gao et al. 10.5194/acp-22-5265-2022
105. PM2.5 episodes in northern Taiwan under southerly winds in late winter M. Chuang et al. 10.1016/j.atmosres.2024.107686
106. Sensitivity of air quality to vehicle ammonia emissions in the United States C. Toro et al. 10.1016/j.atmosenv.2024.120484
107. Spatial Distribution of Ammonia Concentrations and Modeled Dry Deposition in an Intensive Dairy Production Region A. Leytem et al. 10.3390/atmos15010015
108. Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations J. East et al. 10.5194/acp-22-15981-2022
109. Quantifying the contributions of meteorology, emissions, and transport to ground-level ozone in the Pearl River Delta, China J. Li et al. 10.1016/j.scitotenv.2024.173011
110. An environmental justice analysis of air pollution in India P. deSouza et al. 10.1038/s41598-023-43628-3
111. Controlling factors of spatiotemporal variations in black carbon concentrations over the Arctic region by using a WRF/CMAQ simulation on the Northern Hemisphere scale K. Yahara et al. 10.1016/j.polar.2024.101093
112. Potential deterioration of ozone pollution in coastal areas caused by marine-emitted halogens: A case study in the Guangdong-Hong Kong-Macao Greater Bay Area S. Fan & Y. Li 10.1016/j.scitotenv.2022.160456
113. Assessment of summertime ozone formation in the Sichuan Basin, southwestern China X. Yang et al. 10.3389/fevo.2022.931662
114. Simulation model of Reactive Nitrogen Species in an Urban Atmosphere using a Deep Neural Network: RNDv1.0 J. Gil et al. 10.5194/gmd-16-5251-2023
115. Open biomass burning emissions and their contribution to ambient formaldehyde in Guangdong province, China C. Zhang et al. 10.1016/j.scitotenv.2022.155904
116. Ecological restoration can enhance the radiation benefit of sand fixation service: A simulated evidence of Xilingol League, China S. Song et al. 10.1016/j.jenvman.2022.116947
117. Modeling particulate nitrate in China: Current findings and future directions X. Xie et al. 10.1016/j.envint.2022.107369
118. Application of regional meteorology and air quality models based on the microprocessor without interlocked piped stages (MIPS) and LoongArch CPU platforms Z. Bai et al. 10.5194/gmd-17-4383-2024
119. Assessing the Impact of Lightning NOx Emissions in CMAQ Using Lightning Flash Data from WWLLN over the Contiguous United States D. Kang et al. 10.3390/atmos13081248
120. Modeling of secondary organic aerosols (SOA) based on two commonly used air quality models in China: Consistent S/IVOCs contribution but large differences in SOA aging L. Huang et al. 10.1016/j.scitotenv.2023.166162
121. Characterizing changes in extreme ozone levels under 2050s climate conditions: An extreme-value analysis in California B. Wilson et al. 10.1016/j.aeaoa.2022.100195
122. The potential impact of biogenic volatile organic compounds (BVOCs) from terrestrial vegetation on a Mediterranean area using two different emission models P. Ciccioli et al. 10.1016/j.agrformet.2022.109255
123. Modeling regional nitrogen cycle in the atmosphere: Present situation and its response to the future emissions control strategy A. Shen et al. 10.1016/j.scitotenv.2023.164379
124. Nighttime ozone in the lower boundary layer: insights from 3-year tower-based measurements in South China and regional air quality modeling G. He et al. 10.5194/acp-23-13107-2023
125. Representing Ozone Formation from Volatile Chemical Products (VCP) in Carbon Bond (CB) Chemical Mechanisms G. Yarwood & K. Tuite 10.3390/atmos15020178
126. Association of ambient air pollution and pesticide mixtures on respiratory inflammatory markers in agricultural communities M. Hughes et al. 10.1088/2752-5309/ad52ba
127. Volatile Chemical Product Enhancements to Criteria Pollutants in the United States K. Seltzer et al. 10.1021/acs.est.1c04298
128. Vapors Are Lost to Walls, Not to Particles on the Wall: Artifact-Corrected Parameters from Chamber Experiments and Implications for Global Secondary Organic Aerosol K. Bilsback et al. 10.1021/acs.est.2c03967
129. Interpretable regional meteorological feature extraction enhances deep learning for extended 120-h PM2.5 forecasting X. Liu et al. 10.1016/j.jclepro.2024.144287
130. Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16 P. Campbell et al. 10.5194/gmd-15-3281-2022
131. NOAA’s Global Forecast System Data in the Cloud for Community Air Quality Modeling P. Campbell et al. 10.3390/atmos14071110
132. Can the UK meet the World Health Organization PM2.5 interim target of 10 μg m−3 by 2030? D. Dajnak et al. 10.1016/j.envint.2023.108222
133. A systematic survey of air quality prediction based on deep learning Z. Zhang et al. 10.1016/j.aej.2024.03.031
134. Impacts of condensable particulate matter on atmospheric organic aerosols and fine particulate matter (PM2.5) in China M. Li et al. 10.5194/acp-22-11845-2022
135. Research on Ozone Pollution Characteristics and Source Apportionment During the COVID-19 Lockdown in Jilin City in 2022 C. Fang et al. 10.3390/atmos15111324
136. Impact of particulate nitrate photolysis on air quality over the Northern Hemisphere G. Sarwar et al. 10.1016/j.scitotenv.2024.170406
137. Effectiveness of emission controls implemented since 2000 on ambient ozone concentrations in multiple timescales in Japan: An emission inventory development and simulation study S. Chatani et al. 10.1016/j.scitotenv.2023.165058
138. Machine Learning Classification of Air Quality Monitoring Stations to Achieve Ambient NO2 Objectives Using Emission Scenarios and Chemical Transport Model E. Hajiparvaneh et al. 10.1016/j.atmosenv.2024.120582
139. Source-specific bias correction of US background and anthropogenic ozone modeled in CMAQ T. Skipper et al. 10.5194/gmd-17-8373-2024
140. Modeling of Organic Aerosol in Seoul Using CMAQ with AERO7 H. Park et al. 10.3390/atmos14050874
141. A computationally efficient model to represent the chemistry, thermodynamics, and microphysics of secondary organic aerosols (simpleSOM): model development and application to α-pinene SOA S. Jathar et al. 10.1039/D1EA00014D
142. Review of methods for assessing deposition of reactive nitrogen pollutants across complex terrain with focus on the UK N. Cowan et al. 10.1039/D2EA00012A
143. Evaluation of 15 years of modeled atmospheric oxidized nitrogen compounds across the contiguous United States C. Toro et al. 10.1525/elementa.2020.00158
144. Modeling PM2.5 During Severe Atmospheric Pollution Episode in Lagos, Nigeria: Spatiotemporal Variations, Source Apportionment, and Meteorological Influences I. Sulaymon et al. 10.1029/2022JD038360
145. Characterizing the Air Emissions, Transport, and Deposition of Per- and Polyfluoroalkyl Substances from a Fluoropolymer Manufacturing Facility E. D’Ambro et al. 10.1021/acs.est.0c06580