http://bolin.su.se/data/zeppelin-heslin-rees-2024-light-scattering-1 Dominic Heslin-Rees, Peter Tunved, Johan Ström, Roxana Cremer, Paul Zieger, Ilona Riipinen, Annica Ekman, Konstantinos Eleftheriadis, and Radovan Krejci Bolin Centre Database 2024 Datafile Atmosphere Aerosols Light-absorbing Air mass history HYSPLIT Earth science > Atmosphere > Aerosols Dominic Heslin-Rees 2024-02-07T10:48:10+00:00 English 1 This dataset consists of the following files, and the scripts can be found on Zenodo under [https://doi.org/10.5281/zenodo.10456676](https://doi.org/10.5281/zenodo.10456676). 1. `oldpsap_newpsap_maap.dat`: csv file containing two columns. 1. Date and time, measurements start in 2002 and continued to 2023. 1. `abs637` Light absorption coefficient measured at 637 nm based on measurements taken by PSAPs and a MAAP. 2. `df_scat_TSI_ecotech_Mie_noLOD.dat`: csv file containing 25 columns. 1. Date and time 2. Various columns related to the light scattering at different wavelengths (i.e. 450, 530, 550, 635, 637, 700). Light scattering coefficient data is provided from the Ecotech and TSI Nephelometer at Zeppelin Observatory. Includes the Absorption Ångström Exponent (`AE`), pressure, temperature and relative humidity, whether the data is recovered via a cleaning method ('cleaned_data') and if it is produced from Mie-calculations (`Mie`). 3. `era5_GDAS_2002_2023.dat`: csv file containing 4 columns. 1. `arrival_time` Date and time 1. `fraction_241` fraction of back trajectories composing the accumulation values (out of a possible 241-hour-long back trajectory) 1. `tp_era5` ERA5 reanalysis data collocated to the endpoints of the back trajectories 1. `RAINFALL` Accumulated Precipitation along 10-day back trajectories (ATP) is also provided. The data provides accumulated rainfall rates along the back trajectories for both the GDAS met fields (HYSPLIT output). 4. `fire_count.dat`: csv file containing 2 columns. 1. `arrival_time` Date and time 1. `fire_count` The accumulated number of active forest fires detected by MODIS is added. This data file provides the total number of fires along back trajectories that are active within a 1x1 grid and within the mixed-layer of the passing back trajectory. Only the endpoints of the back trajectories which pass within the mixed-layer are used. 5. `GFED.dat`: csv file containing 2 columns. 1. `arrival_time` Date and time 1. `BC_GFED` The accumulated black carbon emissions from forest fires are also added. The forest fire emissions come from the Global Fire Emission Database (GFED). All back trajectories arrive at Zeppelin Observatory. 6. `ECLIPSE.dat`: csv file containing 2 columns. 1. `arrival_time` Date and time 1. `BC_emis_all` The accumulated black carbon emissions from emission inventory. The BC emissions come from the ECLIPSE V6b global emission inventories. All back trajectories arrive at Zeppelin Observatory. 7. `CWT_arrays` folder: txt files containing the various concentration-weighted trajectory (CWT) arrays. They provide CWT values based on the light-absorbing coefficients measured at ZEP, and the HYSPLIT output. There is an array for each year. In the [Jupyter notebooks](https://doi.org/10.5281/zenodo.10456676) folder is called 'arrays'. 8. `trend_array_2002_2022_CWT.txt`: The trend array is uploaded which uses CWT arrays from 2002 to 2022, and a Theil-Sen slope estimator (TS) is used to calculate the trend per grid box. The trend array for the eclipse emission inventories is included in the file `trend_array_eclipse.txt`. In the [Jupyter notebooks](https://doi.org/10.5281/zenodo.10456676) the files are called 'trend_array_2002_2022' and 'trend_array'. 9. `Cluster_residence_times` folder: txt files containing arrays with the results of a 5 k-means clustering of the back trajectories. 10. `mean_trajs_clusters` folder: containing 5 csv files with the results of a 5 k-means clustering of the back trajectories. The arrays representing the air masses of the respective clusters or transportation pathways, include the residence times (i.e. time spent over grid cells), the mean path and the timeseries for the clusters. In the [Jupyter notebooks](https://doi.org/10.5281/zenodo.10456676) the folder for the residence times is called 'full_layer'. 1. `df_mean_traj_cluster_5.dat` with 3 columns: - `lat` Latitude - `lon` Longitude - `alt` Altitude 10. In folder `trends_calculated_abs`: Calculated trends in absorption, for the various bins and fractions of data e.g. `pw_trends_100percentage_1bin_threshold10.txt`. In the [Jupyter notebooks](https://doi.org/10.5281/zenodo.10456676) the folder is called 'trends_cal_abs'.