225 citations as recorded by crossref.

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2. Reference Upper-Air Observations for Climate: From Concept to Reality G. Bodeker et al. https://doi.org/10.1175/BAMS-D-14-00072.1
3. A CNN-LSTM model using elliptical constraints for temporally consistent sun position estimation M. Mpabulungi et al. https://doi.org/10.1016/j.heliyon.2024.e31539
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5. Recommendations for processing atmospheric attenuated backscatter profiles from Vaisala CL31 ceilometers S. Kotthaus et al. https://doi.org/10.5194/amt-9-3769-2016
6. Response of atmospheric composition to COVID-19 lockdown measures during spring in the Paris region (France) J. Petit et al. https://doi.org/10.5194/acp-21-17167-2021
7. New Particle Formation at a Mixed Peri-Urban and Agricultural Site J. Kammer et al. https://doi.org/10.2139/ssrn.4177777
8. Atmospheric boundary layer CO_2 remote sensing with a direct detection LIDAR instrument based on a widely tunable optical parametric source E. Cadiou et al. https://doi.org/10.1364/OL.42.004044
9. W-band radar observations for fog forecast improvement: an analysis of model and forward operator errors A. Bell et al. https://doi.org/10.5194/amt-14-4929-2021
10. Analysis of Dynamical and Thermal Processes Driving Fog and Quasi-Fog Life Cycles Using the 2010–2013 ParisFog Dataset J. Dupont et al. https://doi.org/10.1007/s00024-015-1159-x
11. Intra-event evolution of elemental and ionic concentrations in wet deposition in an urban environment T. Audoux et al. https://doi.org/10.5194/acp-23-13485-2023
12. Long-term upper-troposphere climatology of potential contrail occurrence over the Paris area derived from radiosonde observations K. Wolf et al. https://doi.org/10.5194/acp-23-287-2023
13. A Comparative Study of Radiation Fog and Quasi-Fog Formation Processes During the ParisFog Field Experiment 2007 M. Haeffelin et al. https://doi.org/10.1007/s00024-013-0672-z
14. An optimal estimation algorithm for the retrieval of fog and low cloud thermodynamic and micro-physical properties A. Bell et al. https://doi.org/10.5194/amt-15-5415-2022
15. Instantaneous turbulent kinetic energy modelling based on Lagrangian stochastic approach in CFD and application to wind energy M. Bossy et al. https://doi.org/10.1016/j.jcp.2021.110929
16. Experimental and Numerical Study of the Influence of String Mismatch on the Yield of PV Modules Augmented By Static Planar Reflectors M. Pavlov et al. https://doi.org/10.1109/JPHOTOV.2015.2478057
17. Sensitivity to the sources of uncertainties in the modeling of atmospheric CO2 concentration within and in the vicinity of Paris J. Lian et al. https://doi.org/10.5194/acp-21-10707-2021
18. Validity of satellite measurements used for the monitoring of UV radiation risk on health F. Jégou et al. https://doi.org/10.5194/acp-11-13377-2011
19. Mixing layer height retrievals by multichannel microwave radiometer observations D. Cimini et al. https://doi.org/10.5194/amt-6-2941-2013
20. Bridging the Gap in Nanogrid Load Forecasting: The Drahi-X Dataset and a Standardized Benchmarking Framework A. Aurus & G. Guerard https://doi.org/10.1007/s40866-025-00319-4
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22. Midlatitude cirrus clouds and multiple tropopauses from a 2002–2006 climatology over the SIRTA observatory V. Noël & M. Haeffelin https://doi.org/10.1029/2006JD007753
23. Impact of boundary layer stability on urban park cooling effect intensity M. Haeffelin et al. https://doi.org/10.5194/acp-24-14101-2024
24. Dynamic and thermodynamic features of low and middle clouds derived from atmospheric radiation measurement program mobile facility radiosonde data at Shouxian, China J. Zhang et al. https://doi.org/10.1007/s00376-015-5032-8
25. Quality assessment of water cycle parameters in REMO by radar-lidar synergy B. Hennemuth et al. https://doi.org/10.5194/acp-8-287-2008
26. A dataset of annotated ground-based images for the development of contrail detection algorithms N. Gourgue et al. https://doi.org/10.1016/j.dib.2025.111364
27. Long term modelling of the dynamical atmospheric flows over SIRTA site A. Chahine et al. https://doi.org/10.1016/j.jweia.2017.09.004
28. Simulating the formation of carbonaceous aerosol in a European Megacity (Paris) during the MEGAPOLI summer and winter campaigns C. Fountoukis et al. https://doi.org/10.5194/acp-16-3727-2016
29. Understanding the dissipation of continental fog by analysing the LWP budget using idealized LES and in situ observations E. Wærsted et al. https://doi.org/10.1002/qj.3465
30. Benchmarking of deep learning irradiance forecasting models from sky images – An in-depth analysis Q. Paletta et al. https://doi.org/10.1016/j.solener.2021.05.056
31. Precipitation frequency in Med-CORDEX and EURO-CORDEX ensembles from 0.44° to convection-permitting resolution: impact of model resolution and convection representation M. Ha et al. https://doi.org/10.1007/s00382-022-06594-6
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33. Predictability of the Meteorological Conditions Favourable to Radiative Fog Formation During the 2011 ParisFog Campaign L. Menut et al. https://doi.org/10.1007/s10546-013-9875-1
34. Model and Observation for surface–atmosphere interactions over heterogeneous landscape: MOSAI project F. Lohou et al. https://doi.org/10.1016/j.jemets.2025.100019
35. Experimental study of the aerosol impact on fog microphysics M. Mazoyer et al. https://doi.org/10.5194/acp-19-4323-2019
36. Wintertime aerosol chemical composition and source apportionment of the organic fraction in the metropolitan area of Paris M. Crippa et al. https://doi.org/10.5194/acp-13-961-2013
37. Variability of physical meteorology in urban areas at different scales: implications for air quality D. Hertwig et al. https://doi.org/10.1039/D0FD00098A
38. Consequences on energy and water exchanges of airflow modifications in agrivoltaic systems J. Vernier et al. https://doi.org/10.1016/j.nexus.2026.100680
39. ELIFAN, an algorithm for the estimation of cloud cover from sky imagers M. Lothon et al. https://doi.org/10.5194/amt-12-5519-2019
40. Advances in solar forecasting: Computer vision with deep learning Q. Paletta et al. https://doi.org/10.1016/j.adapen.2023.100150
41. A Two-Step Energy Management Method Guided by Day-Ahead Quantile Solar Forecasts: Cross-Impacts on Four Services for Smart-Buildings F. Calderon-Obaldia et al. https://doi.org/10.3390/en13225882
42. The Influence of Synoptic Circulations and Local Processes on Temperature Anomalies at Three French Observatories C. Dione et al. https://doi.org/10.1175/JAMC-D-16-0113.1
43. Impact of terrain heterogeneity on near-surface turbulence structure C. Fesquet et al. https://doi.org/10.1016/j.atmosres.2009.06.003
44. Outdoor sports and risk of ultraviolet radiation-related skin lesions in children: evaluation of risks and prevention E. Mahé et al. https://doi.org/10.1111/j.1365-2133.2011.10415.x
45. A Study of Vertical Structures and Microphysical Characteristics of Different Convective Cloud–Precipitation Types Using Ka-Band Millimeter Wave Radar Measurements J. Zheng et al. https://doi.org/10.3390/rs11151810
46. Recent trends in climate variability at the local scale using 40 years of observations: the case of the Paris region of France J. Ringard et al. https://doi.org/10.5194/acp-19-13129-2019
47. Errors in PV power modelling due to the lack of spectral and angular details of solar irradiance inputs N. Lindsay et al. https://doi.org/10.1016/j.solener.2019.12.042
48. Assessing subkilometre‐scale weather models for an extreme heat event over Paris V. Kumar et al. https://doi.org/10.1002/qj.70193
49. Investigating the role of anthropogenic terpenoids in urban secondary pollution under summer conditions by a box modeling approach M. Farhat et al. https://doi.org/10.1039/D4EA00112E
50. Comparison of co-located refractory black carbon (rBC) and elemental carbon (EC) mass concentration measurements during field campaigns at several European sites R. Pileci et al. https://doi.org/10.5194/amt-14-1379-2021
51. The Paris low-level jet during PANAME 2022 and its impact on the summertime urban heat island J. Céspedes et al. https://doi.org/10.5194/acp-24-11477-2024
52. Bayesian Cloud Detection over Land for Climate Data Records C. Bulgin et al. https://doi.org/10.3390/rs14092231
53. CloudSat as a Global Radar Calibrator A. Protat et al. https://doi.org/10.1175/2010JTECHA1443.1
54. Meteorology-driven variability of air pollution (PM1) revealed with explainable machine learning R. Stirnberg et al. https://doi.org/10.5194/acp-21-3919-2021
55. European heatwave in July 2006: Observations and modeling showing how local processes amplify conducive large‐scale conditions M. Chiriaco et al. https://doi.org/10.1002/2014GL060205
56. Volatile and intermediate volatility organic compounds in suburban Paris: variability, origin and importance for SOA formation W. Ait-Helal et al. https://doi.org/10.5194/acp-14-10439-2014
57. Modeling secondary organic aerosol in an urban area: application to Paris, France F. Couvidat et al. https://doi.org/10.5194/acp-13-983-2013
58. Empowering PV system modeling and forecasting: a review of public benchmark datasets B. Zhao et al. https://doi.org/10.1016/j.gloei.2026.03.001
59. Hybrid prediction method of solar irradiance applied to short-term photovoltaic energy generation J. Nunes Maciel et al. https://doi.org/10.1016/j.rser.2023.114185
60. A new conceptual model for adiabatic fog F. Toledo et al. https://doi.org/10.5194/acp-21-13099-2021
61. Speciation of organic fractions does matter for aerosol source apportionment. Part 2: Intensive short-term campaign in the Paris area (France) D. Srivastava et al. https://doi.org/10.1016/j.scitotenv.2018.03.296
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64. UAV-Aided Weather Radar Calibration J. Yin et al. https://doi.org/10.1109/TGRS.2019.2933912
65. Stratus–Fog Formation and Dissipation: A 6-Day Case Study J. Dupont et al. https://doi.org/10.1007/s10546-012-9699-4
66. The ash dispersion over Europe during the Eyjafjallajökull eruption – Comparison of CMAQ simulations to remote sensing and air-borne in-situ observations V. Matthias et al. https://doi.org/10.1016/j.atmosenv.2011.06.077
67. Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning Y. Nie et al. https://doi.org/10.1016/j.apenergy.2024.123467
68. Collecting fog with vertical fibres: Combined laboratory and in-situ study A. Moncuquet et al. https://doi.org/10.1016/j.atmosres.2022.106312
69. Cirrus-induced shortwave radiative effects depending on their optical and physical properties: Case studies using simulations and measurements C. Córdoba-Jabonero et al. https://doi.org/10.1016/j.atmosres.2020.105095
70. Absolute calibration method for frequency-modulated continuous wave (FMCW) cloud radars based on corner reflectors F. Toledo et al. https://doi.org/10.5194/amt-13-6853-2020
71. Size-dependent particle activation properties in fog during the ParisFog 2012/13 field campaign E. Hammer et al. https://doi.org/10.5194/acp-14-10517-2014
72. Estimation of downwelling longwave irradiance under all‐sky conditions I. Alados et al. https://doi.org/10.1002/joc.2307
73. Large-scale particulate air pollution and chemical fingerprint of volcanic sulfate aerosols from the 2014–2015 Holuhraun flood lava eruption of Bárðarbunga volcano (Iceland) M. Boichu et al. https://doi.org/10.5194/acp-19-14253-2019
74. The diurnal cycle of cloud profiles over land and ocean between 51° S and 51° N, seen by the CATS spaceborne lidar from the International Space Station V. Noel et al. https://doi.org/10.5194/acp-18-9457-2018
75. O3–NOy photochemistry in boundary layer polluted plumes: insights from the MEGAPOLI (Paris), ChArMEx/SAFMED (North West Mediterranean) and DACCIWA (southern West Africa) aircraft campaigns B. Thera et al. https://doi.org/10.1039/D1EA00093D
76. Development of a plume-in-grid model for industrial point and volume sources: application to power plant and refinery sources in the Paris region Y. Kim et al. https://doi.org/10.5194/gmd-7-569-2014
77. Omnivision forecasting: Combining satellite and sky images for improved deterministic and probabilistic intra-hour solar energy predictions Q. Paletta et al. https://doi.org/10.1016/j.apenergy.2023.120818
78. Fog chemical composition and its feedback to fog water fluxes, water vapor fluxes, and microphysical evolution of two events near Paris D. Degefie et al. https://doi.org/10.1016/j.atmosres.2015.05.002
79. Impact of Terrain Heterogeneity on Coherent Structure Properties: Numerical Approach C. Fesquet et al. https://doi.org/10.1007/s10546-009-9412-4
80. Long-range-transported Canadian smoke plumes in the lower stratosphere over northern France Q. Hu et al. https://doi.org/10.5194/acp-19-1173-2019
81. Vision transformer models to measure solar irradiance using sky images in temperate climates T. Mercier et al. https://doi.org/10.1016/j.apenergy.2024.122967
82. Benchmarking deep learning methods for irradiance estimation from sky images with applications to video prediction-based irradiance nowcasting L. Varaschin & D. Silva https://doi.org/10.1016/j.solener.2025.114000
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85. Monitoring Depth of Shallow Atmospheric Boundary Layer to Complement LiDAR Measurements Affected by Partial Overlap S. Pal https://doi.org/10.3390/rs6098468
86. Ground-Based Measurements of Cloud Properties at the Bucharest–Măgurele Cloudnet Station: First Results R. Pîrloagă et al. https://doi.org/10.3390/atmos13091445
87. Radiation fog formation alerts using attenuated backscatter power from automatic lidars and ceilometers M. Haeffelin et al. https://doi.org/10.5194/amt-9-5347-2016
88. Formation of organic aerosol in the Paris region during the MEGAPOLI summer campaign: evaluation of the volatility-basis-set approach within the CHIMERE model Q. Zhang et al. https://doi.org/10.5194/acp-13-5767-2013
89. Comparison between UV index measurements performed by research-grade and consumer-products instruments M. de Corrêa et al. https://doi.org/10.1039/b9pp00179d
90. STRAT: An Automated Algorithm to Retrieve the Vertical Structure of the Atmosphere from Single-Channel Lidar Data Y. Morille et al. https://doi.org/10.1175/JTECH2008.1
91. Parametric model to estimate clear‐sky longwave irradiance at the surface on the basis of vertical distribution of humidity and temperature J. Dupont et al. https://doi.org/10.1029/2007JD009046
92. Improving cross-site generalisability of vision-based solar forecasting models with physics-informed transfer learning Q. Paletta et al. https://doi.org/10.1016/j.enconman.2024.118398
93. Identification of error sources in convective planetary boundary layer cloud forecasts using SIRTA observations A. Mathieu et al. https://doi.org/10.1029/2006GL026001
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98. Characterization and Corrections of Relative Humidity Measurement from Meteomodem M10 Radiosondes at Midlatitude Stations J. Dupont et al. https://doi.org/10.1175/JTECH-D-18-0205.1
99. Evaluation of the reflectivity calibration of W-band radars based on observations in rain A. Myagkov et al. https://doi.org/10.5194/amt-13-5799-2020
100. Combined influence of atmospheric physics and soil hydrology on the simulated meteorology at the SIRTA atmospheric observatory F. Cheruy et al. https://doi.org/10.1007/s00382-012-1469-y
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104. Calibration of Upper Air Water Vapour Profiles Using the IPRAL Raman Lidar and ERA5 Model Results and Comparison to GRUAN Radiosonde Observations D. Alraddawi et al. https://doi.org/10.3390/atmos16030351
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107. A Bayesian inference approach to extract circuit model parameters and analyze photovoltaic degradation from power production data J. Chakar et al. https://doi.org/10.1016/j.solener.2024.112595
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110. The Pyrenean Platform for Observation of the Atmosphere: site, long-term dataset, and science M. Lothon et al. https://doi.org/10.5194/amt-17-6265-2024
111. Marine fog: A review D. Koračin et al. https://doi.org/10.1016/j.atmosres.2013.12.012
112. Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research Z. Zhang et al. https://doi.org/10.1109/ACCESS.2022.3204051
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116. External particle mixing influences hygroscopicity in a sub-urban area S. Deshmukh et al. https://doi.org/10.5194/acp-25-741-2025
117. Evaluation of Mixing-Height Retrievals from Automatic Profiling Lidars and Ceilometers in View of Future Integrated Networks in Europe M. Haeffelin et al. https://doi.org/10.1007/s10546-011-9643-z
118. Variable renewable energy penetration impact on productivity: A case study of poultry farming M. Dupas et al. https://doi.org/10.1371/journal.pone.0286242
119. Description and applications of a mobile system performing on-road aerosol remote sensing and in situ measurements I. Popovici et al. https://doi.org/10.5194/amt-11-4671-2018
120. Cloud Property Retrievals in the ARM Program M. Shupe et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-15-0030.1
121. Population exposure to outdoor NO2, black carbon, and ultrafine and fine particles over Paris with multi-scale modelling down to the street scale S. Park et al. https://doi.org/10.5194/acp-25-3363-2025
122. Six-year source apportionment of submicron organic aerosols from near-continuous highly time-resolved measurements at SIRTA (Paris area, France) Y. Zhang et al. https://doi.org/10.5194/acp-19-14755-2019
123. A case study of using Raman lidar measurements in high-accuracy GPS applications P. Bosser et al. https://doi.org/10.1007/s00190-009-0362-x
124. Source apportionment of organic gaseous and particulate compounds using a combined positive matrix factorization approach in summer (2020) in the Paris region (France) L. Simon et al. https://doi.org/10.1016/j.atmosenv.2025.121269
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126. Long-term observations minus background monitoring of ground-based brightness temperatures from a microwave radiometer network F. De Angelis et al. https://doi.org/10.5194/amt-10-3947-2017
127. Modelling of atmospheric variability in gas and aerosols during the ACROSS campaign 2022 of the greater Paris area: evaluation of the meteorology, dynamics and chemistry L. Di Antonio et al. https://doi.org/10.5194/acp-25-4803-2025
128. Characterizing winter-time brown carbon: Insights into chemical and light-absorption properties in residential and traffic environments L. Barreira et al. https://doi.org/10.1016/j.scitotenv.2024.177089
129. In situ, satellite measurement and model evidence on the dominant regional contribution to fine particulate matter levels in the Paris megacity M. Beekmann et al. https://doi.org/10.5194/acp-15-9577-2015
130. ReOBS: a new approach to synthesize long-term multi-variable dataset and application to the SIRTA supersite M. Chiriaco et al. https://doi.org/10.5194/essd-10-919-2018
131. Six‐Month Outdoor Performance Study of Stable Perovskite Solar Cells Under Real Operating Conditions J. Chakar et al. https://doi.org/10.1002/solr.202400093
132. Meandering analysis under low wind conditions in built-up environment H. Bounouas et al. https://doi.org/10.1016/j.atmosres.2026.109248
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135. Aerosol particle measurements at three stationary sites in the megacity of Paris during summer 2009: meteorology and air mass origin dominate aerosol particle composition and size distribution F. Freutel et al. https://doi.org/10.5194/acp-13-933-2013
136. Study of the unknown HONO daytime source at a European suburban site during the MEGAPOLI summer and winter field campaigns V. Michoud et al. https://doi.org/10.5194/acp-14-2805-2014
137. Diurnal evolution of total column and surface atmospheric ammonia in the megacity of Paris, France, during an intense springtime pollution episode R. Kutzner et al. https://doi.org/10.5194/acp-21-12091-2021
138. Estimation of the Uncertainty due to Each Step of Simulating the Photovoltaic Conversion under Real Operating Conditions A. Dubois et al. https://doi.org/10.1155/2021/4228658
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141. Two years of volatile organic compound online in situ measurements at the Site Instrumental de Recherche par Télédétection Atmosphérique (Paris region, France) using proton-transfer-reaction mass spectrometry L. Simon et al. https://doi.org/10.5194/essd-15-1947-2023
142. Classification of Ice Crystal Shapes in Midlatitude Ice Clouds from Three Years of Lidar Observations over the SIRTA Observatory V. Noel et al. https://doi.org/10.1175/JAS3767.1
143. Harmonised boundary layer wind profile dataset from six ground-based Doppler wind lidars in a transect across Paris, France W. Morrison et al. https://doi.org/10.5194/essd-17-6507-2025
144. Water vapour variability induced by urban/rural surface heterogeneities during convective conditions C. Champollion et al. https://doi.org/10.1002/qj.446
145. Processes influencing ozone levels in Alaskan forest fire plumes during long‐range transport over the North Atlantic E. Real et al. https://doi.org/10.1029/2006JD007576
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149. Black carbon physical properties and mixing state in the European megacity Paris M. Laborde et al. https://doi.org/10.5194/acp-13-5831-2013
150. Estimation of the terms acting on local 1 h surface temperature variations in Paris region: the specific contribution of clouds O. Rojas Muñoz et al. https://doi.org/10.5194/acp-21-15699-2021
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