{ "cells": [ { "cell_type": "markdown", "id": "4768bbb9-77eb-4e56-83c9-0dbcbd35ff39", "metadata": {}, "source": [ "# Subset Gridded Static Inputs" ] }, { "cell_type": "markdown", "id": "9acca116-c0b9-49fc-848d-9df83998f6d2", "metadata": {}, "source": [ "To launch this notebook interactively in a Jupyter notebook-like browser interface, please click the \"Launch Binder\" button below. Note that Binder may take several minutes to launch.\n", "\n", "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/hydroframe/subsettools-binder/HEAD?labpath=subsettools%2Fsubset_static_inputs.ipynb)" ] }, { "cell_type": "markdown", "id": "83fb9a68-dca3-4193-9885-40f07596f6ba", "metadata": {}, "source": [ "There are a wide variety of static files available through the HydroData Database. You can learn more about them through the HydroData documentation [here](https://hf-hydrodata.readthedocs.io/en/latest/). Static datasets are generally associated with hydro-geofabrics that have been developed for national model runs. They include ParFlow model inputs like topographic slopes and subsurface conductivity but also additional variables like elevation or distance to streams. Most static datasets are associated with the two national ParFlow Models ([ParFlow CONUS1.0](https://hydroframe.org/parflow-conus1) and [ParFlow CONUS2.0 ](https://hydroframe.org/parflow-conus2)) \n", "\n", "You can use the [`subset_static`](https://hydroframesubsettools.readthedocs.io/en/api-fix/autoapi/subsettools/index.html#subsettools.subset_static) function to automatically subset a complete set of ParFlow model inputs. \n", "- Slope in the east/west direction (`slope_x`)\n", "- Slope in the north/south direction (`slope_y`)\n", "- Subsurface units indicator file (`pf_indicator`)\n", "- Mannings roughness coefficients (`mannings`)\n", "- Depth to bedrock (`pf_flowbarrier`)\n", "- Long term average preciptation minus evaporation (i.e. recharge) (`pme`)\n", "- Steady state pressure head used to initialize transient simulations (`ss_pressure_head`)\n", " \n", "Or you can modify this function or use the [`hf_hydrodata.get_gridded_data`](https://hf-hydrodata.readthedocs.io/en/latest/hf_hydrodata.gridded.html#hf_hydrodata.gridded.get_gridded_data) function to subset any gridded file from the HydroData Catalog. \n", "\n", "Subsetting pressure files from one of the national simulations (i.e. to get initial conditions for a watershed model) is a slightly different process because it involves accessing timeseries outputs from HydroData. We provide an example of how to do that here too. \n", "\n", "Note that the SubsetTools and HydroData API tools do not provide any re-gridding options. Data will be returned at the resolution of the initial dataset which is being subset.\n", "\n", "#### Things to determine before you start\n", "1. Before you start you should browse the [data catalog](https://hf-hydrodata.readthedocs.io/en/latest/available_datasets.html#static-model-inputs-and-domain-files) and determine which static input dataset you would like to subset. \n", "2. Take note of the dataset name and the grid that it is available on as you will need this information for your subsetting. \n", "3. If you are subsetting a pressure file from a simulation also take note of the start and end dates of the dataset as well as the temporal resolution (e.g. hourly, daily), as these will set the limits of what you can subset." ] }, { "cell_type": "markdown", "id": "a421017a", "metadata": {}, "source": [ "## 1. Setup \n", "\n", "In all examples you will need to import the following packages and register your pin in order to have access to the HydroData datasets\n", "\n", "Refer to the [getting started](https://hydroframesubsettools.readthedocs.io/en/latest/getting_started.html) instructions for creating your pin if you have not done this already." ] }, { "cell_type": "code", "execution_count": null, "id": "61d84526-545e-41c4-a7c2-c2c4aee3f878", "metadata": {}, "outputs": [], "source": [ "import subsettools as st\n", "import hf_hydrodata as hf\n", "from parflow.tools.io import read_pfb\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "\n", "hf.register_api_pin(\"your_email\", \"your_pin\")" ] }, { "cell_type": "markdown", "id": "3c51a4e8", "metadata": {}, "source": [ "## 2.0 Subset the static input variables\n", "There are two approaches to subsetting static data:\n", "- The `subset_static` function will automatically get the forcing data for 7 static input variables listed above and will write the data as pfb files into your output directory to be ready for a ParFlow run. You can modify this function to get a smaller list of variables if you would like or to select any static variable that is included with a dataset even if its not in the default variable list.\n", "- The `hf.get_gridded_data` function provides more direct access to the HydroData API and can return any subset variables of interest as a numpy array. \n", "\n", "### 2.1 Subset static inputs with the `subset_static` function\n", "This approach is recommended if you are planning on using the static inputs for a ParFlow run. By default, `subset_static` will get the data for 7 static input variables (API reference [here](https://hydroframesubsettools.readthedocs.io/en/latest/autoapi/subsettools/index.html#subsettools.subset_static)) and write them out as PFBs (ParFlow Binary Files) for a ParFlow-CLM simulation. (*NOTE: Depending on the configuration of your ParFlow run not all of these inputs are required, refer to the ParFlow run tutorials for more information on this*) \n", "\n", "In addition to writing the files out the function returns a dictionary where the keys are static input variable names (e.g. 'slope_x', 'pf_flowbarrier', ...) and the values are the filepaths where the subset data for that variable were written. We will show how to use these paths to load the data into an array and plot them later in this tutorial.\n", "\n", "**NOTE:** *Some datasets might not contain all 7 static input variables. In that case, the `subset_static` function is going to raise an error for any variables that are not supported by the dataset. You can check [here](https://hf-hydrodata.readthedocs.io/en/latest/available_data.html) which variables are contained in each dataset.* \n", "\n", "**NOTE:** *The ij indices must match the grid for the datasets you are subsetting. You can see what grid each dataset is available on in the dataset documentation*" ] }, { "cell_type": "code", "execution_count": 2, "id": "29fd2e24-09f1-412d-8557-c37258d05a34", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "bounding box: (2107, 929, 2247, 1016)\n" ] } ], "source": [ "# calculate the HUC bounds\n", "ij_huc_bounds, mask = st.define_huc_domain(hucs=[\"07080205\"], grid=\"conus1\")\n", "print(f\"bounding box: {ij_huc_bounds}\")" ] }, { "cell_type": "code", "execution_count": null, "id": "d1acd0e9", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipykernel_17134/3315558362.py:4: DeprecationWarning: Note that for subsettools versions >= 2.0.0, this function will raise a ValueError if a variable in var_list is not supported in the dataset. (In older versions, it just printed an error message and continued executing normally). You can check in the HydroData documentation which variables are contained in each dataset (https://hf-hydrodata.readthedocs.io/en/latest/available_data.html).\n", " static_filepaths = st.subset_static(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Wrote slope_x.pfb in specified directory.\n", "Wrote slope_y.pfb in specified directory.\n", "Wrote pf_indicator.pfb in specified directory.\n", "Wrote pme.pfb in specified directory.\n", "Wrote ss_pressure_head.pfb in specified directory.\n" ] } ], "source": [ "# Example grabbing all static input variables for the CONUS1 domain\n", "# Note that we need to remove \"mannings\" and \"pf_flowbarrier\" from the default list,\n", "# as they are not supported in the conus1_domain dataset.\n", "static_filepaths = st.subset_static(\n", " ij_huc_bounds,\n", " dataset=\"conus1_domain\",\n", " write_dir=\"/path/to/your/write/directory\",\n", " var_list=(\"slope_x\", \"slope_y\", \"pf_indicator\", \"pme\", \"ss_pressure_head\"),\n", ")" ] }, { "cell_type": "markdown", "id": "91181d9a-d726-4785-adb2-ef42f94c4847", "metadata": {}, "source": [ "### 2.2 Subset initial pressure data using the `subset_press_init` function\n", "If you want to subset a single pressure file to use as an initial pressure for a ParFlow simulation we recommend using the `subset_press_init`. This function will subset the simulated pressure data one hour before midnight on the day before the date specified (i.e. the last pressure file available before the date specified by the user). The subset values will be written out as a PFB (ParFlow Binary File) that you can use to start your run from. \n", "\n", "By default the function will assume UTC time when subsetting but you can swap to your local timezone using the timezone argument in which case it will select the last pressure file before midnight on your specified date in that local timezone. \n", "\n", "In this example we are subsetting a pressure file from from the modern CONUS1 baseline simulation described [here](https://hf-hydrodata.readthedocs.io/en/latest/gen_conus1_baseline_85.html). You can see a list of other ParFlow simulations that you can use to start from [here](https://hf-hydrodata.readthedocs.io/en/latest/available_datasets.html#parflow-simulation-outputs).\n", "\n", "**NOTE**: *You can also start your run from a steady state pressure field that is associated with each domain. you will get this returned from the `subset_static` function so you only need this step if you are wanting to start from a different pressure field.*" ] }, { "cell_type": "code", "execution_count": null, "id": "240d81fd-e37f-4dca-94f2-e8b2698703ba", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "UTC Date: 2005-12-15 05:00:00\n", "Wrote ./conus1_baseline_mod_2005.12.15:05.00.00_UTC0_press.pfb in specified directory.\n" ] } ], "source": [ "press_init_filepath = st.subset_press_init(\n", " ij_huc_bounds,\n", " dataset=\"conus1_baseline_mod\",\n", " date=\"2005-12-15\",\n", " write_dir=\"/path/to/your/write/directory\",\n", " time_zone=\"EST\",\n", ")" ] }, { "cell_type": "markdown", "id": "84f315cb", "metadata": {}, "source": [ "### 2.3 Subset data using `hf.get_gridded_data` function\n", "\n", "The [`hf.get_gridded_data`](https://hf-hydrodata.readthedocs.io/en/latest/hf_hydrodata.gridded.html#hf_hydrodata.gridded.get_gridded_data) function is a general function to extract any gridded data from HydroData. Here we illustrate how to use it grab out a set of static input variables. Here we show how to use this approach to grab out a single column of data but the function works the same if you provide it a bounding box. \n", "\n", "Note that this will just return the data as NumPy arrays and will not write them out for a ParFlow run so if you use this option and want to run ParFlow some additional steps will be required to write the data out. \n", "\n", "**NOTE:** *Unlike st.subset_static, hf.get_gridded_data is going to throw an error for variables that do not exist (e.g. mannings for conus1_domain).*\n" ] }, { "cell_type": "code", "execution_count": 5, "id": "68fcdabe", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "slope_x loaded: (87, 140)\n", "slope_y loaded: (87, 140)\n", "pf_indicator loaded: (5, 87, 140)\n", "pme loaded: (5, 87, 140)\n", "ss_pressure_head loaded: (5, 87, 140)\n" ] } ], "source": [ "# list the variables that you would like to extract\n", "static_vars = (\n", " \"slope_x\",\n", " \"slope_y\",\n", " \"pf_indicator\",\n", " \"pme\",\n", " \"ss_pressure_head\",\n", ")\n", "\n", "static_data = {}\n", "for var in static_vars:\n", " options = {\"dataset\": \"conus1_domain\",\n", " \"variable\": var,\n", " \"period\": \"static\",\n", " \"file_type\": \"pfb\",\n", " \"grid_bounds\": ij_huc_bounds\n", " }\n", " static_data[var] = hf.get_gridded_data(options)\n", " print(f\"{var} loaded:\", static_data[var].shape)" ] }, { "cell_type": "markdown", "id": "87bc4053-8fa1-4e8d-9d32-5adb5863b222", "metadata": {}, "source": [ "### 2.4 Subset initial pressure data using `hf.get_gridded_data` function\n", "\n", "We can also use the `hf.get_gridded_data` function to get initial pressure data as well. Note that we cannot provide a time-zone argument through this function, as we did with `st.subset_press_init`." ] }, { "cell_type": "code", "execution_count": 6, "id": "a8e1fc7d-41a6-461b-bcdd-f5efab52c860", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Initial pressure loaded: (5, 87, 140)\n" ] } ], "source": [ "options = {\"dataset\": \"conus1_baseline_mod\",\n", " \"variable\": \"pressure_head\",\n", " \"file_type\": \"pfb\",\n", " \"period\": \"hourly\",\n", " \"grid_bounds\": ij_huc_bounds,\n", " \"start_time\": \"2005-12-15\",\n", " \"grid\": \"conus1\"\n", "}\n", "initial_press = hf.get_gridded_data(options).squeeze()\n", "print(f\"Initial pressure loaded:\", initial_press.shape)" ] }, { "cell_type": "markdown", "id": "d3f1fb32", "metadata": {}, "source": [ "## 3.0 Visualize the data \n", "If you use the `subset_static` function, data will need to be read in first using the `read_pfb` function. If you use `get_gridded_data` the data are already available as a numpy array.\n", "\n", "### 3.1 loading and visualizing data that was written out using the `subset_static` function\n", "\n", "Here we use the `read_pfb` function [from PFTools](https://parflow.readthedocs.io/en/latest/python/tutorials/pfb.html#loading-pfb-from-python) to read the subset data in and plot it. We will plot the indicator file and the initial pressure data over the whole bounding box. By replacing the filepath in the code below, we can plot any static input or the initial pressure data." ] }, { "cell_type": "code", "execution_count": 52, "id": "95247f4e-a987-4024-92f1-26784c73bfd5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Initial pressure (m)')" ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(1, 2, figsize=(28, 10))\n", "\n", "ax0 = axs[0]\n", "filename = static_filepaths[\"pf_indicator\"]\n", "data = read_pfb(filename)[0]\n", "im0 = ax0.imshow(data, cmap=\"RdBu\", origin='lower')\n", "colorbar1 = fig.colorbar(im0, ax=ax0, shrink=0.6)\n", "ax0.set_title(f'Hydrogeological indicator groups', fontsize = 25)\n", "\n", "ax1 = axs[1]\n", "filename = press_init_filepath\n", "data = read_pfb(filename)[0] # pick the bottom layer of the pressure data\n", "im1 = ax1.imshow(data, cmap = \"RdBu\", origin='lower')\n", "colorbar1 = fig.colorbar(im1, ax=ax1, shrink=0.6)\n", "ax1.set_title(f'Initial pressure (m)', fontsize = 25)" ] }, { "cell_type": "markdown", "id": "af064bdc", "metadata": {}, "source": [ "### 3.2 Visualize data that was subset using `hf.get_gridded_data`\n", "\n", "Here we just visualize the same data directly from the numpy arrays returned by the function in sections 2.3 and 2.4." ] }, { "cell_type": "code", "execution_count": 7, "id": "e5732626", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Initial pressure (m)')" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axs = plt.subplots(1, 2, figsize=(28, 10))\n", "\n", "ax0 = axs[0]\n", "data = static_data[\"pf_indicator\"][0]\n", "im0 = ax0.imshow(data, cmap=\"RdBu\", origin='lower')\n", "colorbar1 = fig.colorbar(im0, ax=ax0, shrink=0.6)\n", "ax0.set_title(f'Hydrogeological indicator groups', fontsize = 25)\n", "\n", "ax1 = axs[1]\n", "data = initial_press[0] # pick the bottom layer of the pressure data\n", "im1 = ax1.imshow(data, cmap = \"RdBu\", origin='lower')\n", "colorbar1 = fig.colorbar(im1, ax=ax1, shrink=0.6)\n", "ax1.set_title(f'Initial pressure (m)', fontsize = 25)" ] }, { "cell_type": "markdown", "id": "1b93c3d1-8cc8-43dc-9b86-30a6d794864d", "metadata": {}, "source": [ "## 4. Cite the data sources\n", "\n", "Please make sure to cite all data sources that you use. We will use the `get_citations` function, which takes as an argument a dataset name and returns citation information about that dataset:" ] }, { "cell_type": "code", "execution_count": 3, "id": "795e2043-6b42-4a0f-8752-f5eae4b5fb6f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Inputs for baseline CONUS2 ParFlow Simulations\\nNo paper references available.\\n'" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "hf.get_citations(\"conus2_domain\")" ] }, { "cell_type": "code", "execution_count": 4, "id": "95c9a171-814b-4ae6-b189-589b5ff4aee5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Modern CONUS1 simulations WY 2003-2006\\n Source: https://doi.org/10.5194/gmd-14-7223-2021\\n'" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "hf.get_citations(\"conus1_baseline_mod\")" ] } ], "metadata": { "kernelspec": { "display_name": "hydroframe", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.9" } }, "nbformat": 4, "nbformat_minor": 5 }