• Introduction
• Prerequisite
• Instructions
• Cases Information
• Acknowledgement

This repository is a supplementary to the manuscript "Estimating Submicron Aerosol Mixing State at the Global Scale with Machine Learning and Earth System Modeling".

The purpose of this project is to using Latin hypercube sampling (LHS) to create scenarios for Particle-resolved Monte Carlo (PartMC) version 2.5.0.

# Create your own conda/python environment
pip install pyDOE datetime pandas xarray

Step 1: Define the parameters and create cases

Within each case (e.g., case_1), define the paramaters in the file 1_create_LHS_matrix.py. Then execute the command:

python 1_create_LHS_matrix.py

Here you need to type the total number of scenarios that you want to generate

Step 2: Apply the parameters to the cases

Within the same case, execute the command:

python 2_modify_dat_spec.py

Again, here you need to confrim the total number of scenarios that you want to deal with.

Step 3: Run the particle-resolved simulations

You may follow the instruction of PartMC to run the simulation for the scenarios!

w/o sea salt
Action (within the case):
1.modify "1_create_LHS_matrix" (RH_min, RH_max, Latitude_min, Latitude_max, and ss relevant copies)
2.modify "gas_back.dat"
3.modify "2_modify_dat_spec.py"

# assume there are no sea salt and DMS
util.modify_aero_emit_dist(directory, matrix, ss_option=None, dust_option=True)
util.modify_gas_emit(directory, matrix, DMS_option=None))
#util.modify_aero_emit_comp_ss1(directory, matrix)
#util.modify_aero_emit_comp_ss2(directory, matrix)

w/o dust
Action:
1.modify "1_create_LHS_matrix" (RH_min, RH_max, Latitude_min, Latitude_max, and dust relevant copies)
2.modify "2_modify_dat_spec.py"

# assume there are no dust, but sea salt
util.modify_aero_emit_dist(directory, matrix, ss_option=True, dust_option=None)

Cases/Scenarios Distribution

case_5 (high latitudes, Northern Hemisphere, lat: 60 - 89.999): include seasalt and carbonaceous aerosol (no dust) emissions (1/9)

case_6 (high latitudes, Southern Hemisphere, lat: -89.999 - -60): include seasalt and carbonaceous aerosol (no dust) emissions (1/9)

This research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) the State of Illinois, and as of December, 2019, the National Geospatial-Intelligence Agency. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications.