Published November 15, 2023 | Version v1
Dataset Metadata-only

Model data for "A model study on investigating the sensitivity of aerosol forcing on the volatilities of semi-volatile organic compounds" by Irfan et al

Creators

  • 1. Finnish Meteorological Institute

Contributors

Project leader:

Description

This dataset contains simulation results from global aerosol-climate model ECHAM-SALSA. These simulations were performed to study the sensitivity of simulated SOA mass, CCN and radiative forcings to the assumed volatility distributions of biogenic SOA precursor species. The study employed volatility basis set (VBS) approach to represent and simulate SOA in the atmosphere. The study involved a comparative analysis between finely resolved 9-bin VBS setup with a simplified 3-bin VBS setup. It also included how the SOA mass, CCN and radiative forcing are sensitive to the volatitility of individual VBS bins.

Methods

Global scale aerosol-climate model simulations were performed using ECHAM-SALSA. We performed three diferent simulations each using 9-bin and 3-bin VBS setups with the volatilities increased (VBSx10) and decreased (VBSx0.1) by one-order of magnitude with respect to the original volatility (VBSx1). Another set of six different simuations were performed by increasing and decreasing the volatilities of one VBS bin at a time while keeping the original volatilities of other bins.

Technical info

In this study, all the ECHAM-SALSA simulations used T63 spectral truncation and 47 hybrid sigma pressure levels in horizontal and vertical resolution respectively. Simulations were performed for the year 2010 with half a year spin-up. The data was simulated with 3-hourly output for the simulation period. We then calculated monthly means of the summer months from 3-hourly data for all the model values except CDNC. We used the the 3-hourly data to analyse CDNC from grids with cloud fraction ≥ 0.95. A detailed description of model simulations is given in the setup file of each simulation.

Technical info

The external URL leads to a bucket containing setup files, the complete dataset (post-processed NETCDF files) presented in the manuscript, and the python scripts used for data analysis for each of the simulations.

Additional details

Identifiers

URL
https://etsin.fairdata.fi/dataset/37a30e41-23c4-466e-af88-eaecadbf5fb3
b2rec
6416bbff3bb24b3eb1d49cd990fda411

FMI metadata

Link to external data location (URL)
https://a3s.fi/swift/v1/AUTH_0b854c4dde6141e8b52b0982a45b7f3d/2009014-manuscript_VBS_sensitivity_study/, https://a3s.fi/swift/v1/AUTH_0b854c4dde6141e8b52b0982a45b7f3d/2009014-manuscript_VBS_sensitivity_study/data/README.txt, https://a3s.fi/swift/v1/AUTH_0b854c4dde6141e8b52b0982a45b7f3d/2009014-manuscript_VBS_sensitivity_study/data/3bin_base_cdnc/vbs_sensitivity_3bin_base_cdnc_CDNC_cloudcover_maskgec095.nc
Process step
Setup files for simulations are given in files setup_files/namelist_vbs_sensitivity_*.echam
Model
ECHAM-HAMMOZ
Parameter
  • Parameter name: cloudcover
  • Parameter unit: 1
  • Parameter description: Area fraction of cloud in a gridcell
  • Parameter name: burden
  • Parameter unit: kg m-2
  • Parameter description: Burden of aerosol compounds
  • Parameter name: forcing
  • Parameter unit: W m-2
  • Parameter description: Radiative forcing
  • Parameter name: massconc
  • Parameter unit: kg m-3
  • Parameter description: Mass concentration
  • Parameter name: numconc
  • Parameter unit: m-3
  • Parameter description: Number concentration
Data levels (meter, hectoPascal, degree, sigma pressure levels, other) in vertical direction(+/-) for example 1500 m or 850 hPa
  • Level: sigma pressure level
  • Level unit: sigma pressure levels (from toa to surface)
Resolution
63
Resolution unit
T
Supplemental information
Details on how to load the data is given here: https://a3s.fi/swift/v1/AUTH_0b854c4dde6141e8b52b0982a45b7f3d/2009014-manuscript_VBS_sensitivity_study/data/README.txt
Topic category
climatologyMeteorologyAtmosphere