{ "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_numpy`](https://hf-hydrodata.readthedocs.io/en/latest/hf_hydrodata.gridded.html#hf_hydrodata.gridded.get_numpy) 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": 1, "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 `gridded.get_numpy` 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": 3, "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": 4, "id": "d1acd0e9", "metadata": {}, "outputs": [ { "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": 8, "id": "240d81fd-e37f-4dca-94f2-e8b2698703ba", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "UTC Date: 2005-12-15 05:00:00\n", "Wrote /home/ga6/subsettools_example/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_numpy` function\n", "\n", "The [`hf.get_numpy`](https://hf-hydrodata.readthedocs.io/en/latest/hf_hydrodata.gridded.html#hf_hydrodata.gridded.get_numpy) 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_numpy is going to throw an error for variables that do not exist (e.g. mannings for conus1_domain).*\n" ] }, { "cell_type": "code", "execution_count": 12, "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", " \"period\": \"static\",\n", " \"variable\": var,\n", " \"file_type\": \"pfb\",\n", " \"grid_bounds\": ij_huc_bounds\n", " }\n", " static_data[var] = hf.get_numpy(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_numpy` function\n", "\n", "We can also use the `hf.get_numpy` 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": 48, "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_numpy(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_numpy` 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_numpy`\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": 53, "id": "e5732626", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Initial pressure (m)')" ] }, "execution_count": 53, "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", "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": "Python 3 (ipykernel)", "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": "3.9.17" } }, "nbformat": 4, "nbformat_minor": 5 }