This README.txt file was created on 2021-06-02

--------------------------### GENERAL INFORMATION ###--------------------------

Title of dataset: Data from: Importance of Uncertainties in the Spatial Distribution of Pre‐Industrial Wildfires for Estimating Aerosol Radiative Forcing

Contact information: Douglas S. Hamilton, Cornell University, dsh224@cornell.edu
Alternate Contact: Jessica S. Wan, Cornell University, jsw352@cornell.edu

JSW thanks NCAR for allocations from project UCOR0040. DSH and NMM would like to acknowledge support from DE-SC000679 and Cornell Atkinson Center for Sustainability funding.

--------------------------### SHARING/ACCESS INFORMATION ###--------------------------

This dataset is shared under a Attribution 4.0 International (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/). The material can be shared and built upon, but attribution to the original authors and a statement of changes made is required.

Recommended citation for the data: Jessica S. Wan, Douglas S. Hamilton, and Natalie M Mahowald (2021) Data from: Importance of Uncertainties in the Spatial Distribution of Pre-Industrial Wildfires for Estimating Aerosol Radiative Forcing (2021) [Dataset] Cornell University Library eCommons Repository. https://doi.org/10.7298/0534-x424

Related manuscript: Jessica S. Wan, Douglas S. Hamilton, and Natalie M Mahowald (2021) Importance of Uncertainties in the Spatial Distribution of Pre-Industrial Wildfires for Estimating Aerosol Radiative Forcing, Geophysical Research Letters. 48, e2020GL089758. https://doi.org/10.1029/2020GL089758

Additional related manuscripts:
Hamilton, D.S., Hantson, S., Scott, C.E. et al. Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing. Nat Commun 9, 3182 (2018). https://doi.org/10.1038/s41467-018-05592-9

--------------------------### DATA AND FILE OVERVIEW ###--------------------------

File list:

1)  CCN_5YrMean_Wan2021.nc
2)  BCBURDEN_5YrMean_Wan2021.nc
3)  RF_5YrMean_Wan2021.nc
4)  RF_MonthlyMean_Wan2021.nc

Relationship between files: Files grouped by variable type analyzed in Jessica S. Wan, Douglas S. Hamilton, and Natalie M Mahowald (2021) Importance of Uncertainties in the Spatial Distribution of Pre-Industrial Wildfires for Estimating Aerosol Radiative Forcing, Geophysical Research Letters. 48, e2020GL089758. https://doi.org/10.1029/2020GL089758 for all PI and PD cases

--------------------------### METHODOLOGY ###--------------------------

Description of fire emissions, cases, and model setup used to generate this data can be found in Jessica S. Wan, Douglas S. Hamilton, and Natalie M Mahowald (2021) Importance of Uncertainties in the Spatial Distribution of Pre-Industrial Wildfires for Estimating Aerosol Radiative Forcing, Geophysical Research Letters, DOI: 10.1029/2020GL089758

--------------------------### DATA-SPECIFIC INFORMATION ###--------------------------

Number of cases: 9 (7 PI, 2 PD)

Number of variables: 5 (1 variable per .nc for CCN and BCBURDEN, 3 variables per .nc for RF)

Variable list:

1)  *CCN (Cloud condensation nuclei concentration at saturation=0.1%; #/cm3)
2)  *BURDENBC (Black carbon aerosol burden; kg/m2)
3)  *DRF_all_aerosol (Direct radiative forcing (all aerosols); W/m2)
4)  *CAE_all_aerosol (Cloud albedo effect (all aerosols); W/m2)
5)  *CAE_fire_aerosol (Cloud albedo effect (fire aerosols); W/m2)

Notes on RF (variables 3-5): Each variable is presented as a PI or PD value separately. The forcings (both DRF and CAE) presented in the main text of <ADD CITATION> are the PI-to-PD forcings, which are calculated by subtracting the PI variable from the corresponding PD variable.