Work Description

Title: Results from Morales et al. 2018 (JAS) - Orographic precipitation sensitivity analysis Open Access Deposited

Attribute Value
Methodology
  • The data is produced from Cloud Model 1 simulations of idealized orographic precipitation. The detailed methods used are found in Morales et al. 2018, Journal of Atmospheric Science. The model output is initially in a .dat format, which is then convert to netCDF using the cdo -f nc import_binary command in a Linux terminal. The analysis is performed using the NCAR Command Language (NCL), and the results and description of analysis methods and model configurations are found in Morales et al. 2018 (JAS). The data can be accessed using any programming language that reads in netCDF or binary files. We used NCL and GrADS.
Description
  • The research that produced this data involves exploring the sensitivity of orographic precipitation to changes in microphysical parameters found in the Morrison microphysics scheme within CM1 model. These microphysical sensitivities are also tested within different environments. The tests can be described as "one-at-a-time" experiments, i.e., an individual parameter is perturbed while keeping the rest constant. Annareli Morales conducted this research for her PhD research while working at the Mesoscale and Microscale Meteorology lab at NCAR in Boulder, CO.
Creator
Depositor
  • annareli@umich.edu
Contact information
Discipline
Funding agency
  • National Aeronautics and Space Administration (NASA)
ORSP grant number
  • NNX14AG68G
Keyword
Date coverage
  • 2017-05-20 to 2018-03-10
Citations
  • Morales, A., H. Morrison, and D. Posselt, 2018: Orographic precipitation response to microphysical parameter perturbations for idealized moist nearly neutral flow. Journal of Atmospheric Science, 75, 1933-1953, https://doi.org/10.1175/JAS-D-17-0389.1
Resource type
Last modified
  • 02/20/2019
CC License

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