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Federal
The Acidity of Atmospheric Particles and Clouds recent views
U.S. Environmental Protection Agency —
Dataset contains supplementary information (model inputs and/or outputs and literature values) for Section 4.1 (idealized acidity calculations), Section 4.2 (box... -
Federal
Coupling of organic and inorganic systems and the effect on gas-particle partitioning in the southeastern United States recent views
U.S. Environmental Protection Agency —
Several models were used to describe the partitioning of ammonia, water, and organic compounds between the gas and particle phases for conditions in the southeastern... -
Federal
Chemical Transport Model Simulations of Organic Aerosol in Southern California: Model Evaluation and Gasoline and Diesel Source Contributions recent views
U.S. Environmental Protection Agency —
Gasoline- and diesel-fueled engines are ubiquitous sources of air pollution in urban environments. They emit both primary particulate matter and precursor gases that... -
Federal
FastMAPOL_ACEPOL_AIRHARP_L2 recent views
National Aeronautics and Space Administration —
The datasets contain the retrieved aerosol and ocean color properties from AirHARP measurements using the FastMAPOL algorithm. Three scenes (5Mb each) are included in... -
Federal
MOCMAC_MISR_MLI recent views
National Aeronautics and Space Administration —
This dataset shows an example result from the MISR Maximum Likelihood (MLI) algorithm, which uses the MISR 866nm channel multi-angle observations to derive 4... -
Federal
Southeast Atmosphere Studies: learning from model-observation syntheses recent views
U.S. Environmental Protection Agency —
Observed and modeled data shown in figure 2b-c. This dataset is associated with the following publication: Mao, J., A. Carlton, R. Cohen, W. Brune, S. Brown, G.... -
Federal
MISR_MODIS_AtmCorrection recent views
National Aeronautics and Space Administration —
This data repository (6.36gb total) supports the publication: Knobelspiesse, K., Ibrahim, A., Franz, B., Bailey, S., Levy, R., Ahmad, Z., Gales, J., Gao, M., Garay,...