Dataset associated with Keller and Evans, GMD, 2019

Introduction:
This directory contains the hourly training data used to train the random forest regression model for GEOS-Chem, as described in Keller and Evans (2019).
The one month model simulation was performed using the NASA Goddard Earth Observing System Model, version 5 (GEOS-5) with version 10 of the GEOS-Chem chemistry embedded (tag M2R12K-3_0_GCC; Long et al., 2015; Hu et al., 2018).
Simulations were performed on the Discover supercomputing cluster of the NASA Center for Climate Simulation at cube sphere C48 horizontal resolution,
roughly equivalent to 200km x 200km. The vertical grid comprises of 72 hybrid-sigma vertical levels extending up to 0.01 hPa. The model time step was 15 minutes.

File description:
Each file contains 179 time-instantaneous values on a rectilinear grid (144x91) for the lowest 25 model levels. Model level 72 corresponds to the surface.
Each file contains the concentrations of chemical species immediately before and after chemistry (KPP_BEFORE_ and KPP_AFTER_,
respectively), all 105 photolysis rates (KPP_JVAL_, some are empty), and 7 meteorological variables: pressure (KPP_PRESS), mass fraction of cloud
ice water (KPP_QICE), mass fraction of cloud liquid water (KPP_QLIQ), relative humidity (KPP_RH), solar zenith angle (KPP_SUNCOS), temperature (KPP_TEMP), and
grid box latitude (KPP_YLAT).

Contact:
[e-mail]
[e-mail]

References:
Hu, L., Keller, C. A., Long, M. S., Sherwen, T., Auer, B., Da Silva, A., Nielsen, J. E., Pawson, S., Thompson, M. A., Trayanov, A. L., Travis, K. R., Grange, S. K., Evans, M. J., and Jacob, D. J.: Global simulation of tropospheric chemistry at 12.5 km resolution: performance and evaluation of the GEOS-Chem chemical module (v10-1) within the NASA GEOS Earth system model (GEOS-5 ESM), Geosci. Model Dev., 11, 4603-4620, https://doi.org/10.5194/gmd-11-4603-2018, 2018.
Keller, C. A. and Evans, M. J.: Application of random forest regression to the calculation of gas-phase chemistry within the GEOS-Chem chemistry model v10, Geosci. Model Dev., 2019.
Long, M. S., Yantosca, R., Nielsen, J. E., Keller, C. A., da Silva, A., Sulprizio, M. P., Pawson, S., and Jacob, D. J.: Development of a gridindependent GEOS-Chem chemical transport model (v9-02) as an atmospheric chemistry module for Earth system models, Geoscientific Model Development, 8, 595–602, https://doi.org/10.5194/gmd-8-595-2015, https://www.geosci-model-dev.net/8/595/2015/, 2015.

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Christoph Keller, Feb 25, 2019