51 citations as recorded by crossref.

1. Impact of atmospheric boundary layer depth variability and wind reversal on the diurnal variability of aerosol concentration at a valley site S. Pal et al. https://doi.org/10.1016/j.scitotenv.2014.07.067
2. Adapting cities to climate change: A systemic modelling approach V. Masson et al. https://doi.org/10.1016/j.uclim.2014.03.004
3. Influence of complex terrain and anthropogenic emissions on atmospheric CO2 patterns–a high‐resolution numerical analysis M. Uebel & A. Bott https://doi.org/10.1002/qj.3182
4. Quantification of the airport-related pollution under wintertime anticyclonic conditions from idealized large-eddy simulations T. Sabatier et al. https://doi.org/10.1016/j.atmosenv.2021.118619
5. Spatiotemporal Variation in Surface Urban Heat Island Intensity and Associated Determinants across Major Chinese Cities J. Wang et al. https://doi.org/10.3390/rs70403670
6. Urban heat and residential electricity consumption: A preliminary study J. Azevedo et al. https://doi.org/10.1016/j.apgeog.2016.03.002
7. Investigation of the atmospheric boundary layer depth variability and its impact on the 222Rn concentration at a rural site in France S. Pal et al. https://doi.org/10.1002/2014JD022322
8. A multi-model approach to monitor emissions of CO2 and CO from an urban–industrial complex I. Super et al. https://doi.org/10.5194/acp-17-13297-2017
9. Diurnal and Seasonal Variations of Carbon Dioxide (CO2) Concentration in Urban, Suburban, and Rural Areas around Tokyo R. Imasu & Y. Tanabe https://doi.org/10.3390/atmos9100367
10. Effects of Environmental Factors on the Performance of Ground-Based Low-Cost CO2 Sensors X. Ren et al. https://doi.org/10.3390/s25196114
11. Exploring Atmospheric Boundary Layer Depth Variability in Frontal Environments Over an Arid Region M. Anand & S. Pal https://doi.org/10.1007/s10546-022-00756-z
12. A New Framework to Compare Mass-Flux Schemes Within the AROME Numerical Weather Prediction Model S. Riette & C. Lac https://doi.org/10.1007/s10546-016-0146-9
13. Data-driven heterogeneous ensemble forecasting framework incorporating multi-scale criteria H. Li et al. https://doi.org/10.1016/j.eswa.2025.130537
14. Monitoring and analysis of urban heat Island of Lahore city in Pakistan during winter season https://doi.org/10.34154/2019-EJCC-0101-24-31/euraass
15. Retrieval of Aerosol Properties for Fine/Coarse Mode Aerosol Mixtures over Beijing from PARASOL Measurements S. Wang et al. https://doi.org/10.3390/rs70709311
16. The MAPM (Mapping Air Pollution eMissions) method for inferring particulate matter emissions maps at city scale from in situ concentration measurements: description and demonstration of capability B. Nathan et al. https://doi.org/10.5194/acp-21-14089-2021
17. Assessment of Surface Urban Heat Islands over Three Megacities in East Asia Using Land Surface Temperature Data Retrieved from COMS Y. Choi et al. https://doi.org/10.3390/rs6065852
18. Analysis of atmospheric CO2 variability in the Marseille city area and the north-west Mediterranean basin at different time scales I. Xueref-Remy et al. https://doi.org/10.1016/j.aeaoa.2023.100208
19. Improvements of a COMS Land Surface Temperature Retrieval Algorithm Based on the Temperature Lapse Rate and Water Vapor/Aerosol Effect A. Cho et al. https://doi.org/10.3390/rs70201777
20. Estimating local-scale urban heat island intensity using nighttime light satellite imageries Y. Sun et al. https://doi.org/10.1016/j.scs.2020.102125
21. An attempt at estimating Paris area CO2 emissions from atmospheric concentration measurements F. Bréon et al. https://doi.org/10.5194/acp-15-1707-2015
22. Monitoring Depth of Shallow Atmospheric Boundary Layer to Complement LiDAR Measurements Affected by Partial Overlap S. Pal https://doi.org/10.3390/rs6098468
23. Integrating Urban Heat Assessment in Urban Plans L. Echevarría Icaza et al. https://doi.org/10.3390/su8040320
24. Assessment of CO2 dynamics in subsurface atmospheres using the wavelet approach: from cavity–atmosphere exchange to anthropogenic impacts in Rull cave (Vall d′Ebo, Spain) C. Pla et al. https://doi.org/10.1007/s12665-016-5325-y
25. Analysis of the potential of near-ground measurements of CO2 and CH4 in London, UK, for the monitoring of city-scale emissions using an atmospheric transport model A. Boon et al. https://doi.org/10.5194/acp-16-6735-2016
26. Responses of Urban Land Surface Temperature on Land Cover: A Comparative Study of Vienna and Madrid H. Xiao et al. https://doi.org/10.3390/su10020260
27. Overview of the Meso-NH model version 5.4 and its applications C. Lac et al. https://doi.org/10.5194/gmd-11-1929-2018
28. The first 1-year-long estimate of the Paris region fossil fuel CO2 emissions based on atmospheric inversion J. Staufer et al. https://doi.org/10.5194/acp-16-14703-2016
29. How do green roofs mitigate urban thermal stress under heat waves? T. Sun et al. https://doi.org/10.1002/2016JD024873
30. Quantifying the Daytime and Night-Time Urban Heat Island in Birmingham, UK: A Comparison of Satellite Derived Land Surface Temperature and High Resolution Air Temperature Observations J. Azevedo et al. https://doi.org/10.3390/rs8020153
31. Feasibility Study of Multi-Wavelength Differential Absorption LIDAR for CO2 Monitoring C. Xiang et al. https://doi.org/10.3390/atmos7070089
32. Spatio-temporal variability of atmospheric CO2 and its main causes: A case study in Xi'an city, China P. Wang et al. https://doi.org/10.1016/j.atmosres.2020.105346
33. Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO2 emissions S. Feng et al. https://doi.org/10.5194/acp-16-9019-2016
34. A fast and spatialized urban weather generator for long-term urban studies at the city-scale J. Le Bras & V. Masson https://doi.org/10.3389/feart.2015.00027
35. Modelling Airport Pollutants Dispersion at High Resolution C. Sarrat et al. https://doi.org/10.3390/aerospace4030046
36. Spatial and temporal variations of CO2 mole fractions observed at Beijing, Xianghe, and Xinglong in North China Y. Yang et al. https://doi.org/10.5194/acp-21-11741-2021
37. A Modeling Framework of Atmospheric CO2 in the Mediterranean Marseille Coastal City Area, France B. Nathan et al. https://doi.org/10.3390/atmos15101193
38. Forcing mechanisms governing diurnal, seasonal, and interannual variability in the boundary layer depths: Five years of continuous lidar observations over a suburban site near Paris S. Pal & M. Haeffelin https://doi.org/10.1002/2015JD023268
39. Investigating the urban-induced microclimate effects on winter wheat spring phenology using Sentinel-2 time series J. Tian et al. https://doi.org/10.1016/j.agrformet.2020.108153
40. Evaluating the Potential of Landsat Satellite Data to Monitor the Effectiveness of Measures to Mitigate Urban Heat Islands: A Case Study for Stuttgart (Germany) G. Seeberg et al. https://doi.org/10.3390/urbansci6040082
41. Probing the capacity of a spatiotemporal deep learning model for short-term PM2.5 forecasts in a coastal urban area Q. Liao et al. https://doi.org/10.1016/j.scitotenv.2024.175233
42. Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. https://doi.org/10.1029/2019JD030528
43. Impact of advection on the urban heat of a small-sized city: The Urban Heat island Experiment Around Lubbock, Texas (U-HEAT) T. Danzig et al. https://doi.org/10.1016/j.uclim.2025.102714
44. Urban heat islands and the transformation of Singapore Y. Jung https://doi.org/10.1177/00420980231217391
45. A novel model evaluation approach focusing on local and advected contributions to urban PM2.5 levels – application to Paris, France H. Petetin et al. https://doi.org/10.5194/gmd-7-1483-2014
46. Diurnal, synoptic and seasonal variability of atmospheric CO2 in the Paris megacity area I. Xueref-Remy et al. https://doi.org/10.5194/acp-18-3335-2018
47. Spatio-Temporal Modeling of the Urban Heat Island in the Phoenix Metropolitan Area: Land Use Change Implications C. Wang et al. https://doi.org/10.3390/rs8030185
48. Meteorological controls on the diurnal variability of carbon monoxide mixing ratio at a mountaintop monitoring site in the Appalachian Mountains T. Lee et al. https://doi.org/10.3402/tellusb.v67.25659
49. Modeling the Atmospheric CO2 Concentration in the Beijing Region and Assessing the Impacts of Fossil Fuel Emissions Z. Liang et al. https://doi.org/10.3390/environments12050156
50. Urban heat forecasting in small cities: evaluation of a high-resolution operational numerical weather prediction model Y. Huang et al. https://doi.org/10.5194/gmd-18-9237-2025
51. On the factors governing water vapor turbulence mixing in the convective boundary layer over land: Concept and data analysis technique using ground-based lidar measurements S. Pal https://doi.org/10.1016/j.scitotenv.2016.02.147