Meteorology Analytics

[rburghol]

• Two major categories of analytics:
• Single coverage specific summary statistics
  • Need period summary metrics to be retrieved by om_vahydro_metric_grid()
  • Scripts should be spatially agnostic, that is, any feature is potentially viable, so script arguments should include support for ftype and hydrocode
• Multi-scenario/spatial coverage comparisons
  • Comparisons between scenarios (i.e. data sources, or model runs) and geographical regions
  • Detailed comparison of multiple timeseries
  • Also, can leverage om_vahydro_metric_grid() to assemble comparisons of multiple sets of summary metrics
• Basic info on data model to store summary metrics, and R functions to save via REST Data Model for NLDAS2 QA/Process Log Data #31
• List of proposed scripts:
  • Single coverage summary of data from a single met scenario (can potentially be used in geo, wdm and/or amalgamate workflows). Workflow Step: geo -> analyze -> 01_met_summary #101
  • Coverage Met Scenario comparison script #102
• See previous projects scripts to re-use or re-purpose code:
  • qa_met (bash script that calls R scripts) https://github.com/HARPgroup/model_meteorology/blob/main/sh/qa_met
    • lseg_qa_test_timeseries.R https://github.com/HARPgroup/model_meteorology/blob/main/R/lseg_qa_test_timeseries.R
    • lseg_rolling_avg_graphs.R https://github.com/HARPgroup/model_meteorology/blob/main/R/lseg_rolling_avg_graphs.R
    • met_plots.R https://github.com/HARPgroup/model_meteorology/blob/main/R/met_plots.R
    • met_plot_year_details.R https://github.com/HARPgroup/model_meteorology/blob/main/R/met_plot_year_details.R
  • Getting data into and out of db via REST REST / RomDataSource, metrics and analysis HARParchive#1354