45 citations as recorded by crossref.

1. Meteorological context of the onset and end of the rainy season in Central Amazonia during the GoAmazon2014/5 J. Marengo et al.
2. Simulating the impact of biomass burning aerosols on an intensive precipitation event in urban areas of the Pearl River Delta F. Li et al.
3. Impact of bauxite mining on vegetation health in Jamaica: NDVI and aerosol optical depth analysis using remote sensing D. Wilson et al.
4. A study of Himalayan extreme rainfall events using WRF-Chem S. Kedia et al.
5. Breathing easier in the Amazon C. Wiedinmyer
6. Analysis of the Influence of Deforestation on the Microphysical Parameters of Clouds in the Amazon H. da Silva et al.
7. The effect of South American biomass burning aerosol emissions on the regional climate G. Thornhill et al.
8. Fire and deforestation dynamics in Amazonia (1973–2014) M. van Marle et al.
9. Optical Properties of Boundary Layer Aerosols From High Spectral Resolution Lidar Measurements in a Polluted Urban Environment (Seoul, Korea) S. Park et al.
10. Analysis of Atmospheric Aerosol Optical Properties in the Northeast Brazilian Atmosphere with Remote Sensing Data from MODIS and CALIOP/CALIPSO Satellites, AERONET Photometers and a Ground-Based Lidar A. de Oliveira et al.
11. Characteristics and Diurnal Cycle of GPM Rainfall Estimates over the Central Amazon Region R. Oliveira et al.
12. Aerosol characteristics and particle production in the upper troposphere over the Amazon Basin M. Andreae et al.
13. Long-term observations of cloud condensation nuclei over the Amazon rain forest – Part 2: Variability and characteristics of biomass burning, long-range transport, and pristine rain forest aerosols M. Pöhlker et al.
14. Urban pollution effects on warm-cloud microphysics in the central Amazon Basin: A WRF-Chem and GoAmazon2014/5 analysis A. dos Reis et al.
15. Quantifying the aerosol effect on droplet size distribution at cloud top L. Hernández Pardo et al.
16. Instant and delayed effects of March biomass burning aerosols over the Indochina Peninsula A. Zhu et al.
17. Illustration of microphysical processes in Amazonian deep convective clouds in the gamma phase space: introduction and potential applications M. Cecchini et al.
18. Assessment of the total lightning flash rate density (FRD) in northeast Brazil (NEB) based on TRMM orbital data from 1998 to 2013 L. de Abreu et al.
19. Simulation of the effects of biomass burning in a mesoscale convective system in the central amazon F. D'Oliveira et al.
20. Biomass burning CCN enhance the dynamics of a mesoscale convective system over the La Plata Basin: a numerical approach G. Camponogara et al.
21. Severe Convection Features in the Amazon Basin: A TRMM-Based 15-Year Evaluation A. Nunes et al.
22. Investigation of raindrop size distribution and its potential influential factors during warm season over China Y. Han et al.
23. ACRIDICON–CHUVA Campaign: Studying Tropical Deep Convective Clouds and Precipitation over Amazonia Using the New German Research Aircraft HALO M. Wendisch et al.
24. The Green Ocean Amazon Experiment (GoAmazon2014/5) Observes Pollution Affecting Gases, Aerosols, Clouds, and Rainfall over the Rain Forest P. Artaxo et al.
25. Satellite observations of smoke–cloud–radiation interactions over the Amazon rainforest R. Herbert & P. Stier
26. The challenge of simulating the sensitivity of the Amazonian cloud microstructure to cloud condensation nuclei number concentrations P. Polonik et al.
27. Contributions of biomass-burning, urban, and biogenic emissions to the concentrations and light-absorbing properties of particulate matter in central Amazonia during the dry season S. de Sá et al.
28. A GCM investigation of impact of aerosols on the precipitation in Amazon during the dry to wet transition Y. Gu et al.
29. Spatiotemporal Rainfall Trends in the Brazilian Legal Amazon between the Years 1998 and 2015 C. Silva Junior et al.
30. Weak influence of anthropogenic emissions on aerosol, cloud, and rain in the wet season of the Amazon rainforest X. Wang et al.
31. The effect of fire-induced forest-degradation on rainfall: A causal inference analysis of the case of the Brazilian Amazon T. F․ Morello R․ Silva
32. Heterogeneity of the diurnal cycle of precipitation in the Amazon Basin R. Ramírez-Nina & M. Silva Dias
33. Smoke aerosols elevate precipitation top and latent heat to the upper atmosphere globally H. Zhu et al.
34. Introduction: Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) S. Martin et al.
35. Aerosol-induced changes in the vertical structure of precipitation: a perspective of TRMM precipitation radar J. Guo et al.
36. Changes in Climate and Land Use Over the Amazon Region: Current and Future Variability and Trends J. Marengo et al.
37. Isolating the effect of biomass burning aerosol emissions on 20th century hydroclimate in South America and Southeast Asia S. Magahey & G. Kooperman
38. On the vertical distribution of smoke in the Amazonian atmosphere during the dry season F. Marenco et al.
39. Investigation of the aerosol–cloud–rainfall association over the Indian summer monsoon region C. Sarangi et al.
40. Overview: Precipitation characteristics and sensitivities to environmental conditions during GoAmazon2014/5 and ACRIDICON-CHUVA L. Machado et al.
41. Impact of biomass burning aerosols on radiation, clouds, and precipitation over the Amazon: relative importance of aerosol–cloud and aerosol–radiation interactions L. Liu et al.
42. Isolating Large‐Scale Smoke Impacts on Cloud and Precipitation Processes Over the Amazon With Convection Permitting Resolution R. Herbert et al.
43. Trend relationship between mountain normalized difference vegetation index (NDVI) and aerosol optical depth (AOD) across two decades: implication for water quality within the Lesotho Highlands, Drakensberg, South Africa A. Chukwuka et al.
44. Opposite long-term trends in aerosols between low and high altitudes: a testimony to the aerosol–PBL feedback Z. Dong et al.
45. Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations C. Reddington et al.