Data 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 raw particle size distribution data (Fig. 1c). These data were obtained using a scanning mobility particle sizer (TSI Inc.). 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.

本数据集包含原始粒径分布数据的Excel文件（对应图1c）。此类数据采用扫描迁移率粒径谱仪（Scanning Mobility Particle Sizer，TSI公司）采集得到。该批数据取自2023年6月7日至8日于美国新泽西州皮斯卡塔韦开展的野外采样工作，旨在表征从加拿大魁北克输送至美国东北部的野火颗粒物特性。研究同时于2023年6月12日（无烟雾参考日）对背景气溶胶开展了表征分析。关于本次野外采样的更多细节，可参见本文的方法部分。
包含米氏散射（Mie theory）代码的MATLAB文件，用于估算野火颗粒物的光吸收与散射特性（对应图2c、2d、S7、S8）。关于该MATLAB代码中所用输入参数的详细信息，可参见本文的方法部分。
本数据集同时提供了用于运行上述MATLAB文件的输入文本文件：该文件第一列为波长，第二列为折射率实部，第三列为折射率虚部。