Data sets and simulation codes for the work: Radiative cooling in New York/New Jersey metropolitan areas by wildfire particulate matter emitted from the Canadian wildfires of 2023

Excel file with data sets for particle mass concentrations (Fig. 1b &amp; S5), size distributions (Fig. 1c), concentrations of polycyclic aromatic hydrocarbons (PAHs; Fig. 1d), absorption coefficients (Fig. 2a and S4a), scattering coefficients (Fig. S2b and S4b), mass absorption cross-sections (Fig. S2c), single scattering albedos (Fig. S2d) and observed mean daily temperatures (Fig. 4). These data are part of a field sampling campaign that took place on June 7 and 8, 2023 at Piscataway, NJ to characterize the wildfire particulate matter that was transported from Quebec, Canada to northeast US. The background aerosols were also characterized on June 12, 2023, a reference smoke-free day. More details regarding the sampling campaign can be found in the Methods section of this work.<br>MATLAB files with Mie theory code used to estimate light absorption and scattering of wildfire particulate matter (Figs. 2c, 2d, S7, S8). Details regarding the input values used in the MATLAB code can be found in the Methods section of this work.<br>A text file with the wavelength (first column), real (second column) and imaginary (third column) refractive index parts is used as an input to run the uploaded MATLAB files and is also provided here.