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nwmurl

This library contains utility functions to generate National Water Model data URLs

Developed by CIROH 2023

Usage

  1. In the code, you can modify the input parameters, such as start_date, end_date, fcst_cycle, lead_time, varinput, geoinput, and runinput, to customize the NWM data retrieval.

  2. The code will generate a list of JSON header URLs tailored to your specified parameters using the generate_urls function.

Customize Your Data Retrieval

  • start_date: A string representing the starting date in the format "YYYYMMDDHHMM".
  • end_date: A string representing the ending date in the same format.
  • fcst_cycle: A list of integers specifying forecast cycle numbers, e.g., [0, 1, 2, 3, 4]. These cycles represent specific points in time for which URLs will be generated.
  • lead_time: A list of integers indicating lead times in hours for forecasts. It determines the time ahead of the forecast start, e.g., [1, 2, 3, 4].
  • varinput: An integer or string representing the variable of interest within the NWM data. Available options include:
    • 1 or \"channel_rt\" for channel routing data.
    • 2 or \"land\" for land data.
    • 3 or \"reservoir\" for reservoir data.
    • 4 or \"terrain_rt\" for terrain routing data.
    • 5 or \"forcing\" for forcing data.
    • geoinput: An integer or string specifying the geographic region of interest. Options include:
    • 1 or \"conus\" for the continental United States.
    • 2 or \"hawaii\" for Hawaii.
    • 3 or \"puertorico\" for Puerto Rico.
  • runinput: An integer or string representing the NWM run configuration. Available options include:
    • 1 or \"short_range\" for short-range forecasts.
    • 2 or \"medium_range\" for medium-range forecasts.
    • 3 or \"medium_range_no_da\" for medium-range forecasts without data assimilation.
    • 4 or \"long_range\" for long-range forecasts.
    • 5 or \"analysis_assim\" for analysis-assimilation runs.
    • 6 or \"analysis_assim_extend\" for extended analysis-assimilation runs.
    • 7 or \"analysis_assim_extend_no_da\" for extended analysis-assimilation runs without data assimilation.
    • 8 or \"analysis_assim_long\" for long analysis-assimilation runs.
    • 9 or \"analysis_assim_long_no_da\" for long analysis-assimilation runs without data assimilation.
    • 10 or \"analysis_assim_no_da\" for analysis-assimilation runs without data assimilation.
    • 11 or \"short_range_no_da\" for short-range forecasts without data assimilation.
  • urlbaseinput : An integer representing the NWM dataset. Available options include:
  • meminput : An integer representing the ensemble member designation ranging from 0 to 7

Examples of how to use

  1. Clone the repository to your local machine:
  git clone https://github.com/CIROH-UA/data_access_example.git
  1. Navigate to the repository folder:

  2. Launch the Jupyter Notebook to execute the example

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