diff --git a/notebooks/bnf_radclss_act_20250520.ipynb b/notebooks/bnf_radclss_act_20250520.ipynb new file mode 100644 index 0000000..e65bd4d --- /dev/null +++ b/notebooks/bnf_radclss_act_20250520.ipynb @@ -0,0 +1,4936 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "5af1bf7e", + "metadata": {}, + "source": [ + "# Example on how to run the RadCLss VAP using the radclss package.\n", + "\n", + "This notebook reproduces the same workflow for RadCLss that runs in the ARM Data Integration (ADI) system. It shows an example for an hour of data, using the same processing path as the production VAP. See the [ADI repository](https://github.com/ARM-DOE/ADI) for the surrounding data-processing framework. All ARM data are downloaded through ARM Live. NEXRAD data are downloaded using subroutines inside radclss.\n", + "\n", + "**What you need:** an ARM ADC account and an ARM Live access token\n", + "([adc.arm.gov/armlive](https://adc.arm.gov/armlive/)), plus enough disk for the radar volumes. The\n", + "NEXRAD data radclss pulls in comes from the public `unidata-nexrad-level2` S3 bucket and needs no\n", + "credentials." + ] + }, + { + "cell_type": "markdown", + "id": "c7c0cfe7", + "metadata": {}, + "source": [ + "## 1. Imports" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "2f3c67af", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "## You are using the Python ARM Radar Toolkit (Py-ART), an open source\n", + "## library for working with weather radar data. Py-ART is partly\n", + "## supported by the U.S. Department of Energy as part of the Atmospheric\n", + "## Radiation Measurement (ARM) Climate Research Facility, an Office of\n", + "## Science user facility.\n", + "##\n", + "## If you use this software to prepare a publication, please cite:\n", + "##\n", + "## JJ Helmus and SM Collis, JORS 2016, doi: 10.5334/jors.119\n", + "\n", + "act 0.1.5.post1471+dirty\n", + "radclss /Users/rjackson/radclss/src/radclss\n" + ] + } + ], + "source": [ + "import glob\n", + "import os\n", + "from getpass import getpass\n", + "from pathlib import Path\n", + "\n", + "import act\n", + "import cmweather # noqa: F401 - registers the ChaseSpectral and balance colormaps\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "import radclss\n", + "\n", + "print(f\"act {act.__version__}\")\n", + "print(f\"radclss {Path(radclss.__file__).parent}\")" + ] + }, + { + "cell_type": "markdown", + "id": "5b6d360e", + "metadata": {}, + "source": [ + "## 2. Configuration\n", + "\n", + "The following sections shows all of the configuration variables that are taken into account when processing RadCLss. RadCLss processes a full 24 hour interval. That is a lot of data to pull over the network for an example: BNF CSAPR2 `cfr.a1` volumes run a few hundred MB each, and because the time coordinate ends up on a 1 minute grid, radclss fetches a NEXRAD column for every\n", + "minute inside the radar time range. The default below is therefore the most active part of the day\n", + "rather than all of it. Set `WINDOW_START`/`WINDOW_END` to `\"000000\"`/`\"235959\"` to reproduce the\n", + "full VAP processing interval." + ] + }, + { + "cell_type": "markdown", + "id": "configuration-table-20250520", + "metadata": {}, + "source": [ + "### Configuration variables\n", + "\n", + "Edit the values in the code cell below to change the site, time period, processing options, or output location. Most users only need to change `DATE`, `WINDOW_START`, `WINDOW_END`, and possibly `DATA_DIR`.\n", + "\n", + "| Variable | What it controls | Expected value / example |\n", + "| --- | --- | --- |\n", + "| `SITE` | ARM site identifier used to find the site's data and build ARM datastream names. | Lowercase site code, such as `\"bnf\"`. |\n", + "| `BASE_STATION` | Main station used as the reference for the retrieval and for the ARM output filename. | Station/facility code, such as `\"M1\"`. |\n", + "| `DATE` | UTC calendar date for the data to download and process. | Eight digits in `YYYYMMDD` format, such as `\"20250521\"`. |\n", + "| `WINDOW_START` | Beginning of the time window to process. | UTC time as six digits `HHMMSS`, such as `\"000000\"`. |\n", + "| `WINDOW_END` | End of the time window to process. | UTC time as six digits `HHMMSS`, such as `\"050000\"`; use `\"235959\"` for the end of the day. |\n", + "| `HEIGHT_BINS` | Vertical grid used for the retrieved radar columns. The values are heights above ground in meters. | A NumPy array; the default creates levels from 0 to 14,900 m every 100 m. |\n", + "| `DOD_VERSION` | Version of the ARM data-description rules used to define the output variables and metadata. | Version string, such as `\"1.0\"`. |\n", + "| `DOD_FILE` | Optional path to a local file that describes the output variables. Leave as `None` to use radclss's built-in/default behavior. | `None` or a path such as `Path(\"conf/radclss.c0.json\")`. |\n", + "| `NEXRAD` | Whether to add NEXRAD data to the retrieval. This can substantially increase downloads and processing time. | `True` to include NEXRAD; `False` to skip it. |\n", + "| `SERIAL` | Whether to process the data one step at a time. Serial processing generally uses less memory but may be slower. | `True` or `False`. |\n", + "| `DATA_DIR` | Local directory where downloaded input data and the generated output are stored. The `RADCLSS_DATA_DIR` environment variable can override its parent directory. | A `Path`, such as `Path(\"~/radclss_data\") / SITE`. |\n", + "| `OUTPUT_FILE` | Full path and filename for the final NetCDF output file. | A `Path`; normally constructed from the site, station, and date. |\n", + "| `PLOT_STATION` | Station whose data are selected for plots later in the notebook. It does not change the retrieval itself. | Station/facility code present in the output, such as `\"M1\"`. |" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "1956c387", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Downloads and output go to /Users/rjackson/radclss_data/bnf\n" + ] + } + ], + "source": [ + "SITE = \"bnf\"\n", + "BASE_STATION = \"M1\" # dsproc.core.get_facility() in the VAP\n", + "DATE = \"20250521\"\n", + "\n", + "WINDOW_START = \"000000\"\n", + "WINDOW_END = \"050000\"\n", + "\n", + "# Arguments to radclss.core.radclss, matching radclss_vap/__main__.py\n", + "HEIGHT_BINS = np.arange(0, 15000, 100.0)\n", + "DOD_VERSION = \"1.0\" # DOD_VERSION[\"bnf\"] in the VAP\n", + "DOD_FILE = None # the VAP points this at its cached conf/radclss.c0.json\n", + "NEXRAD = True # the VAP only turns NEXRAD off at NSA\n", + "SERIAL = True # the VAP runs serial=True\n", + "\n", + "DATA_DIR = Path(os.environ.get(\"RADCLSS_DATA_DIR\", Path.home() / \"radclss_data\")) / SITE\n", + "DATA_DIR.mkdir(parents=True, exist_ok=True)\n", + "OUTPUT_FILE = DATA_DIR / f\"{SITE}radclss{BASE_STATION}.c0.{DATE}.000000.nc\"\n", + "PLOT_STATION = \"M1\"\n", + "\n", + "print(f\"Downloads and output go to {DATA_DIR}\")" + ] + }, + { + "cell_type": "markdown", + "id": "2432dba7", + "metadata": {}, + "source": [ + "## 3. Input datastreams\n", + "\n", + "These three dictionaries describe which ARM files belong to the retrieval and how radclss should interpret them. They reproduce the corresponding settings in `conf/bnf.yaml` used by the ARM VAP.\n", + "\n", + "| Variable | Structure | User-friendly meaning | Example |\n", + "| --- | --- | --- | --- |\n", + "| `DATASTREAMS` | Maps an ARM datastream pattern to a list of facility codes. | Says which instruments and stations provide input data. A datastream can appear at more than one facility, so each facility is listed separately. | `\"met.b1\": [\"M1\", \"S20\", \"S30\", \"S40\"]` means use meteorological data from four stations. |\n", + "| `INPUT_SITE_DICT` | Maps each facility code to `(latitude, longitude, altitude)`. Latitude and longitude are in decimal degrees; altitude is in meters. | Gives radclss the location of every instrument station so it can calculate distances, bearings, heights, and other geometry used when combining observations. | `\"M1\": (34.34525, -87.33842, 293)` identifies M1's location and elevation. |\n", + "| `DS_TYPES` | Maps each ARM datastream pattern to a short radclss input type. | Tells radclss what kind of measurements it is receiving so the data can be grouped and processed correctly. | `\"csapr2cfr.a1\": \"radar\"` identifies CSAPR2 data as radar input. |" + ] + }, + { + "cell_type": "markdown", + "id": "input-datastream-details-20250520", + "metadata": {}, + "source": [ + "### How the datastream entries are interpreted\n", + "\n", + "| ARM datastream | `DS_TYPES` value | Facilities in this example | What the data provide |\n", + "| --- | --- | --- | --- |\n", + "| `met.b1` | `met` | M1, S20, S30, S40 | Standard surface weather measurements, such as temperature, pressure, humidity, and wind. |\n", + "| `metwxt.b1` | `wxt` | S13, S14 | Weather-station measurements from the WXT instruments. |\n", + "| `interpolatedsonde.c1` | `sonde` | M1 | Interpolated balloon-sounding profiles used to describe the atmospheric environment above the site. |\n", + "| `wbpluvio2.a1` | `pluvio` | M1 | Precipitation measurements from the weighing precipitation gauge. |\n", + "| `kasacrcfr.a1` | `radar` | S4 | KASACR radar volumes used to retrieve radar columns. |\n", + "| `xsacrcfr.a1` | `radar` | S4 | XSACR radar volumes used to retrieve radar columns. |\n", + "| `csapr2cfr.a1` | `radar` | S3 | CSAPR2 radar volumes used to retrieve radar columns. |\n", + "| `kazr2cfrge.a1` | `kazr2` | M1 | KAZR2 vertically pointing radar data. |\n", + "| `ldquants.c1` | `ld` | M1, S30 | Laser disdrometer-derived quantities used as additional atmospheric constraints. |\n", + "| `vdisquants.c1` | `vd` | M1 | Video disdrometer-derived quantities used as additional atmospheric constraints. |\n", + "\n", + "The datastream pattern does not include the site or facility. The helper `datastream_name` combines all three pieces into an ARM name; for example, `SITE = \"bnf\"`, `\"csapr2cfr.a1\"`, and `\"S3\"` become `bnfcsapr2cfrS3.a1`. The helper `volumes_key` then gives radclss the internal group name used by the processing call. Most station-based inputs become names such as `met_M1` or `ld_S30`; all sonde data use `sonde`, all KAZR2 data use `kazr2`, and radar data use names such as `radar_csapr2`.\n", + "\n", + "If you adapt this notebook to another ARM site, update all three dictionaries together: every facility listed in `DATASTREAMS` needs a matching entry in `INPUT_SITE_DICT`, and every datastream key needs a matching entry in `DS_TYPES`." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "79ab5a4d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "bnfmetM1.b1 -> met_M1\n", + "bnfmetS20.b1 -> met_S20\n", + "bnfmetS30.b1 -> met_S30\n", + "bnfmetS40.b1 -> met_S40\n", + "bnfmetwxtS13.b1 -> wxt_S13\n", + "bnfmetwxtS14.b1 -> wxt_S14\n", + "bnfinterpolatedsondeM1.c1 -> sonde\n", + "bnfwbpluvio2M1.a1 -> pluvio_M1\n", + "bnfkasacrcfrS4.a1 -> radar_kasacr\n", + "bnfxsacrcfrS4.a1 -> radar_xsacr\n", + "bnfcsapr2cfrS3.a1 -> radar_csapr2\n", + "bnfkazr2cfrgeM1.a1 -> kazr2\n", + "bnfldquantsM1.c1 -> ld_M1\n", + "bnfldquantsS30.c1 -> ld_S30\n", + "bnfvdisquantsM1.c1 -> vd_M1\n" + ] + } + ], + "source": [ + "# conf/bnf.yaml: datastream -> facilities that feed the VAP\n", + "DATASTREAMS = {\n", + " \"met.b1\": [\"M1\", \"S20\", \"S30\", \"S40\"],\n", + " \"metwxt.b1\": [\"S13\", \"S14\"],\n", + " \"interpolatedsonde.c1\": [\"M1\"],\n", + " \"wbpluvio2.a1\": [\"M1\"],\n", + " \"kasacrcfr.a1\": [\"S4\"],\n", + " \"xsacrcfr.a1\": [\"S4\"],\n", + " \"csapr2cfr.a1\": [\"S3\"],\n", + " \"kazr2cfrge.a1\": [\"M1\"],\n", + " \"ldquants.c1\": [\"M1\", \"S30\"],\n", + " \"vdisquants.c1\": [\"M1\"],\n", + "}\n", + "\n", + "# conf/bnf.yaml input_site_dict: station -> (latitude, longitude, altitude in m)\n", + "INPUT_SITE_DICT = {\n", + " \"M1\": (34.34525, -87.33842, 293),\n", + " \"S3\": (34.630806, -87.133118, 180),\n", + " \"S4\": (34.46451, -87.23598, 197),\n", + " \"S20\": (34.65401, -87.29264, 178),\n", + " \"S30\": (34.38501, -86.92757, 183),\n", + " \"S40\": (34.17932, -87.45349, 236),\n", + " \"S13\": (34.343889, -87.350556, 286),\n", + " \"S14\": (34.343399, -87.350858, 282),\n", + "}\n", + "\n", + "# ds_types in Radclss.process_data_hook\n", + "DS_TYPES = {\n", + " \"csapr2cfr.a1\": \"radar\",\n", + " \"kasacrcfr.a1\": \"radar\",\n", + " \"xsacrcfr.a1\": \"radar\",\n", + " \"kazr2cfrge.a1\": \"kazr2\",\n", + " \"interpolatedsonde.c1\": \"sonde\",\n", + " \"met.b1\": \"met\",\n", + " \"metwxt.b1\": \"wxt\",\n", + " \"wbpluvio2.a1\": \"pluvio\",\n", + " \"ldquants.c1\": \"ld\",\n", + " \"vdisquants.c1\": \"vd\",\n", + "}\n", + "\n", + "# Radars and the KAZR2 are stored as one file per scan or per hour, so these are the\n", + "# datastreams the time window actually subsets. The rest are daily files.\n", + "HIGH_RATE = {\"radar\", \"kazr2\"}\n", + "\n", + "\n", + "def datastream_name(datastream, facility):\n", + " \"\"\"Build the ARM datastream name: (\"csapr2cfr.a1\", \"S3\") -> bnfcsapr2cfrS3.a1.\"\"\"\n", + " instrument, level = datastream.split(\".\")\n", + " return f\"{SITE}{instrument}{facility}.{level}\"\n", + "\n", + "\n", + "def volumes_key(datastream, facility):\n", + " \"\"\"Return the radclss volumes key the VAP builds for a datastream/facility pair.\"\"\"\n", + " ds_type = DS_TYPES[datastream]\n", + " if ds_type == \"sonde\":\n", + " return \"sonde\"\n", + " if ds_type == \"kazr2\":\n", + " return \"kazr2\"\n", + " if ds_type == \"radar\":\n", + " return \"radar_\" + datastream.split(\".\")[0].split(\"cfr\")[0]\n", + " return f\"{ds_type}_{facility}\"\n", + "\n", + "\n", + "for datastream, facilities in DATASTREAMS.items():\n", + " for facility in facilities:\n", + " name = datastream_name(datastream, facility)\n", + " print(f\"{name:<24} -> {volumes_key(datastream, facility)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "e00ed7bb", + "metadata": {}, + "source": [ + "## 4. ARM credentials\n", + "\n", + "Generate an access token at [adc.arm.gov/armlive](https://adc.arm.gov/armlive/). Set `ARM_USERNAME` and `ARM_TOKEN` in the environment to skip the prompts." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a068e2e0", + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "ARM ADC access token: ········\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Downloading as rjackson\n" + ] + } + ], + "source": [ + "username = os.environ.get(\"ARM_USERNAME\") or input(\"ARM ADC username: \")\n", + "token = os.environ.get(\"ARM_TOKEN\") or getpass(\"ARM ADC access token: \")\n", + "print(f\"Downloading as {username}\")" + ] + }, + { + "cell_type": "markdown", + "id": "baff8a9f", + "metadata": {}, + "source": [ + "## 5. Download the inputs and build `volumes`\n", + "\n", + "This mirrors the input-discovery part of the production VAP running in [ADI](https://github.com/ARM-DOE/ADI). `volumes` is the dictionary passed to `radclss.core.radclss`. It is a lookup table: each input group has a key and a list of local file paths, and the special `date` entry records the processing date. The code below downloads the files, collects their paths, and places those paths under the internal keys created in Section 3.\n", + "\n", + "### What is inside `volumes`?\n", + "\n", + "| Key in `volumes` | Source data in this example | Value | How radclss uses it |\n", + "| --- | --- | --- | --- |\n", + "| `date` | The configured `DATE` | A string such as `\"20250521\"` | Tells the retrieval which processing date the file collection represents. It is metadata, not a list of files. |\n", + "| `met_` | `met.b1`, for example `met_M1` | Paths to surface meteorology files | Supplies routine weather observations for the named station. |\n", + "| `wxt_` | `metwxt.b1`, for example `wxt_S13` | Paths to WXT weather-station files | Supplies weather observations from the WXT station. |\n", + "| `sonde` | `interpolatedsonde.c1` | Paths to interpolated sounding files | Supplies the atmospheric profile used as a constraint. Sonde data are grouped into one key rather than one key per facility. |\n", + "| `pluvio_` | `wbpluvio2.a1`, for example `pluvio_M1` | Paths to precipitation-gauge files | Supplies precipitation observations. |\n", + "| `radar_` | Radar datastreams, for example `radar_csapr2`, `radar_kasacr`, and `radar_xsacr` | Paths to radar-volume files | Supplies the scan volumes from which radclss extracts vertical columns at the site locations. The station is part of the downloaded ARM name, but the internal key identifies the radar instrument. |\n", + "| `kazr2` | `kazr2cfrge.a1` | Paths to KAZR2 files | Supplies vertically pointing radar observations. KAZR2 data are grouped into one key. |\n", + "| `ld_` | `ldquants.c1`, for example `ld_M1` | Paths to laser-disdrometer-derived-quantity files | Supplies the lidar quantities used by the retrieval. |\n", + "| `vd_` | `vdisquants.c1`, for example `vd_M1` | Paths to video-disdrometer-quantity files | Supplies disdrometer quantities used by the retrieval. |\n", + "\n", + "Each file-list value is sorted after downloading, so radclss receives the files in time order. The dictionary has one key for each internal input group, not necessarily one key for every ARM datastream/facility combination: radar files are grouped by instrument, while sonde and KAZR2 files each use a single key. In this BNF example the output reports 15 entries: 14 file-list keys plus `date`.\n", + "\n", + "### Why different time windows are requested\n", + "\n", + "The download range depends on the input type:\n", + "\n", + "| Input type | Files | Request made by this notebook | Reason |\n", + "| --- | --- | --- | --- |\n", + "| Radar and KAZR2 (`radar`, `kazr2`) | One file per scan or hour | `WINDOW_START` through `WINDOW_END` | These files have time-resolved timestamps, so requesting only the selected interval reduces downloads. |\n", + "| All other input types | Daily files, normally stamped at `00:00:00` | The full day, `00:00:00` through `23:59:59` | Filtering a daily file by a sub-day start time could cause the service to return no file even though that day's data are needed. |\n", + "\n", + "Already downloaded datastreams are reused. The ARM datastream directories under `DATA_DIR` are separate from the internal keys in `volumes`; for example, files downloaded into `bnfcsapr2cfrS3.a1` are stored under `volumes[\"radar_csapr2\"]`. Delete a datastream directory under `DATA_DIR` if you change the window and want those files downloaded again.\n", + "\n", + "The next section removes radar keys with no files in the selected interval and chooses the time coordinate used to align the inputs." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "e217ec9b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "bnfmetM1.b1: reusing 1 file(s) already in /Users/rjackson/radclss_data/bnf/bnfmetM1.b1\n", + "bnfmetS20.b1: reusing 1 file(s) already in /Users/rjackson/radclss_data/bnf/bnfmetS20.b1\n", + "bnfmetS30.b1: reusing 1 file(s) already in /Users/rjackson/radclss_data/bnf/bnfmetS30.b1\n", + "bnfmetS40.b1: reusing 1 file(s) already in /Users/rjackson/radclss_data/bnf/bnfmetS40.b1\n", + "bnfmetwxtS13.b1: reusing 1 file(s) already in /Users/rjackson/radclss_data/bnf/bnfmetwxtS13.b1\n", + "No files returned or url status error.\n", + "Check datastream name, start, and end date. \n", + "\n", + "bnfmetwxtS14.b1: downloaded 0 file(s)\n", + "bnfinterpolatedsondeM1.c1: reusing 1 file(s) already in /Users/rjackson/radclss_data/bnf/bnfinterpolatedsondeM1.c1\n", + "bnfwbpluvio2M1.a1: reusing 1 file(s) already in /Users/rjackson/radclss_data/bnf/bnfwbpluvio2M1.a1\n", + "bnfkasacrcfrS4.a1: reusing 149 file(s) already in /Users/rjackson/radclss_data/bnf/bnfkasacrcfrS4.a1\n", + "bnfxsacrcfrS4.a1: reusing 139 file(s) already in /Users/rjackson/radclss_data/bnf/bnfxsacrcfrS4.a1\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.000000.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.000018.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.001002.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.001020.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.002002.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.002940.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.003002.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.003948.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.004006.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.004950.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.005008.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.005952.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.010010.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.010954.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.011012.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.011956.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.012014.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.012958.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.013016.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.014000.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.014018.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.015002.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.015020.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.020004.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.020022.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.021006.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.021024.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.022008.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.022026.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.023009.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.023028.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.024011.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.024030.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.025014.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.025032.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.030016.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.030034.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.031018.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.031036.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.032021.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.032039.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.033023.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.033042.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.034025.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.034043.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.035027.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.035046.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.040029.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.040047.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.041038.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.041057.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.042040.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.042059.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.043043.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.043101.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.044045.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.044103.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.045047.nc\n", + "[DOWNLOADING] bnfcsapr2cfrS3.a1.20250521.045105.nc\n", + "\n", + "If you use these data to prepare a publication, please cite:\n", + "\n", + "Bharadwaj, N., Collis, S., Hardin, J., Isom, B., Lindenmaier, I., Matthews, A.,\n", + "Nelson, D., Feng, Y.-C., Rocque, M., Wendler, T., & Castro, V. C-Band Scanning\n", + "ARM Precipitation Radar (CSAPR2CFR), 2025-05-21 to 2025-05-21, Bankhead National\n", + "Forest, AL, USA; Long-term Mobile Facility (BNF), Bankhead National Forest, AL,\n", + "AMF3 (for CSAPR2 near Main Site) (S3). Atmospheric Radiation Measurement (ARM)\n", + "User Facility. https://doi.org/10.5439/1467901\n", + "\n", + "bnfcsapr2cfrS3.a1: downloaded 59 file(s)\n", + "[DOWNLOADING] bnfkazr2cfrgeM1.a1.20250521.000000.nc\n", + "[DOWNLOADING] bnfkazr2cfrgeM1.a1.20250521.010000.nc\n", + "[DOWNLOADING] bnfkazr2cfrgeM1.a1.20250521.020000.nc\n", + "[DOWNLOADING] bnfkazr2cfrgeM1.a1.20250521.030000.nc\n", + "[DOWNLOADING] bnfkazr2cfrgeM1.a1.20250521.035959.nc\n", + "[DOWNLOADING] bnfkazr2cfrgeM1.a1.20250521.045959.nc\n", + "\n", + "If you use these data to prepare a publication, please cite:\n", + "\n", + "LINDENMAIER, I. A., Matthews, A., Wendler, T., Melo de Castro, V., Deng, M.,\n", + "Rocque, M., & zhu, z. Ka ARM Zenith Radar (KAZR2CFRGE), 2025-05-21 to\n", + "2025-05-21, Bankhead National Forest, AL, USA; Long-term Mobile Facility (BNF),\n", + "Bankhead National Forest, AL, AMF3 (Main Site) (M1). Atmospheric Radiation\n", + "Measurement (ARM) User Facility. https://doi.org/10.5439/1891991\n", + "\n", + "bnfkazr2cfrgeM1.a1: downloaded 6 file(s)\n", + "[DOWNLOADING] bnfldquantsM1.c1.20250521.000000.nc\n", + "\n", + "If you use these data to prepare a publication, please cite:\n", + "\n", + "Hardin, J., Giangrande, S., & Zhou, A. Laser Disdrometer Quantities (LDQUANTS),\n", + "2025-05-21 to 2025-05-21, Bankhead National Forest, AL, USA; Long-term Mobile\n", + "Facility (BNF), Bankhead National Forest, AL, AMF3 (Main Site) (M1). Atmospheric\n", + "Radiation Measurement (ARM) User Facility. https://doi.org/10.5439/1432694\n", + "\n", + "bnfldquantsM1.c1: downloaded 1 file(s)\n", + "[DOWNLOADING] bnfldquantsS30.c1.20250521.000000.nc\n", + "\n", + "If you use these data to prepare a publication, please cite:\n", + "\n", + "Hardin, J., Giangrande, S., & Zhou, A. Laser Disdrometer Quantities (LDQUANTS),\n", + "2025-05-21 to 2025-05-21, Bankhead National Forest, AL, USA; Long-term Mobile\n", + "Facility (BNF), Bankhead National Forest, AL, Supplemental facility at Falkville\n", + "(S30). Atmospheric Radiation Measurement (ARM) User Facility.\n", + "https://doi.org/10.5439/1432694\n", + "\n", + "bnfldquantsS30.c1: downloaded 1 file(s)\n", + "[DOWNLOADING] bnfvdisquantsM1.c1.20250521.000000.nc\n", + "\n", + "If you use these data to prepare a publication, please cite:\n", + "\n", + "Hardin, J., Giangrande, S., Fairless, T., & Zhou, A. Video Disdrometer VAP\n", + "(VDISQUANTS), 2025-05-21 to 2025-05-21, Bankhead National Forest, AL, USA; Long-\n", + "term Mobile Facility (BNF), Bankhead National Forest, AL, AMF3 (Main Site) (M1).\n", + "Atmospheric Radiation Measurement (ARM) User Facility.\n", + "https://doi.org/10.5439/1592683\n", + "\n", + "bnfvdisquantsM1.c1: downloaded 1 file(s)\n", + "\n", + "15 volumes keys, 14.45 GB on disk\n" + ] + } + ], + "source": [ + "def iso(date, hhmmss):\n", + " \"\"\"Format YYYYMMDD and HHMMSS the way the ARM Live web service expects.\"\"\"\n", + " return f\"{date[:4]}-{date[4:6]}-{date[6:]}T{hhmmss[:2]}:{hhmmss[2:4]}:{hhmmss[4:]}\"\n", + "\n", + "\n", + "def download(name, start, end):\n", + " \"\"\"Download one datastream into DATA_DIR/, reusing files already on disk.\"\"\"\n", + " out_dir = DATA_DIR / name\n", + " cached = sorted(glob.glob(str(out_dir / \"*.*\")))\n", + " if cached:\n", + " print(f\"{name}: reusing {len(cached)} file(s) already in {out_dir}\")\n", + " return cached\n", + " act.discovery.download_arm_data(\n", + " username, token, name, start, end, output=str(out_dir)\n", + " )\n", + " files = sorted(glob.glob(str(out_dir / \"*.*\")))\n", + " print(f\"{name}: downloaded {len(files)} file(s)\")\n", + " return files\n", + "\n", + "\n", + "volumes = {\"date\": DATE}\n", + "for datastream, facilities in DATASTREAMS.items():\n", + " windowed = DS_TYPES[datastream] in HIGH_RATE\n", + " start = iso(DATE, WINDOW_START if windowed else \"000000\")\n", + " end = iso(DATE, WINDOW_END if windowed else \"235959\")\n", + " for facility in facilities:\n", + " files = download(datastream_name(datastream, facility), start, end)\n", + " volumes[volumes_key(datastream, facility)] = files\n", + "\n", + "on_disk = sum(\n", + " os.path.getsize(f) for key, fs in volumes.items() if key != \"date\" for f in fs\n", + ")\n", + "print(f\"\\n{len(volumes) - 1} volumes keys, {on_disk / 1e9:.2f} GB on disk\")" + ] + }, + { + "cell_type": "markdown", + "id": "68133cb1", + "metadata": {}, + "source": [ + "## 6. The bookkeeping the VAP does before calling radclss\n", + "\n", + "Two checks happen before calling RadCLss to ensure that there are no errors thrown: radar keys with no files for the interval are dropped, and the time coordinate is chosen. The VAP is built to be on the laser disdromter's one minute time interval. Therefore, the VAP's rule is `\"1min\"` unless a key contains `\"ld\"` for laser disdrometer data, in which case the last ldquants key wins, so at BNF everything lands on the 1 minute `ld_S30` grid." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "a43323fd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Time coordinate: ld_S30\n" + ] + } + ], + "source": [ + "for key in [k for k in volumes if k.startswith(\"radar_\") and len(volumes[k]) == 0]:\n", + " print(f\"No files for {key} in this interval, dropping it\")\n", + " del volumes[key]\n", + "\n", + "time_coord = \"1min\"\n", + "for key in volumes:\n", + " if \"ld\" in key:\n", + " time_coord = key\n", + "\n", + "print(f\"Time coordinate: {time_coord}\")" + ] + }, + { + "cell_type": "markdown", + "id": "422e4882", + "metadata": {}, + "source": [ + "## 7. Run radclss\n", + "\n", + "This is the same `radclss` call used by the VAP in [ADI](https://github.com/ARM-DOE/ADI). This is the slow cell: every radar volume is read and column-subset at\n", + "each station, and a NEXRAD column is pulled from S3 for each time step in the radar time range\n", + "(KHTX for BNF, chosen by `DEFAULT_NEXRAD_RADARS`). Expect tens of minutes for the default four hour\n", + "window, and hours for a full day." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "fedc6f7d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "================================================================================\n", + "RadCLss Processing for 20250521\n", + "================================================================================\n", + "Start time: 2026-10-05 16:55:34\n", + "Serial mode: True\n", + "NEXRAD enabled: True\n", + "Time coordinates: ld_S30\n", + "Number of sites: 8\n", + "Sites: ['M1', 'S3', 'S4', 'S20', 'S30', 'S40', 'S13', 'S14']\n", + "Height bins: 150 levels from 0.0m to 14900.0m\n", + "--------------------------------------------------------------------------------\n", + "\n", + "================================================================================\n", + "STEP 1: Extracting radar columns\n", + "================================================================================\n", + "\n", + "Processing radar: radar_kasacr\n", + " Number of files: 149\n", + " [1/149] Processing: bnfkasacrcfrS4.a1.20250521.000001.nc\n", + " ✓ Success - extracted 0 time steps\n", + " [2/149] Processing: bnfkasacrcfrS4.a1.20250521.000215.nc\n", + " ✓ Success - extracted 0 time steps\n", + " [3/149] Processing: bnfkasacrcfrS4.a1.20250521.000459.nc\n", + " ✓ Success - extracted 0 time steps\n", + " [4/149] Processing: bnfkasacrcfrS4.a1.20250521.000601.nc\n", + " ✓ Success - extracted 0 time steps\n", + " [5/149] Processing: bnfkasacrcfrS4.a1.20250521.000817.nc\n", + " ✓ Success - extracted 0 time steps\n", + " [6/149] Processing: bnfkasacrcfrS4.a1.20250521.001100.nc\n", + " ✓ Success - extracted 0 time steps\n", + " [7/149] Processing: bnfkasacrcfrS4.a1.20250521.001201.nc\n", + " ✓ Success - extracted 0 time steps\n", + " [8/149] Processing: bnfkasacrcfrS4.a1.20250521.001415.nc\n", + " ✓ Success - 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\"/Users/rjackson/pyart/pyart/io/auto_read.py\", line 137, in read\n", + " raise TypeError(\"Unknown or unsupported file format: \" + filetype)\n", + "TypeError: Unknown or unsupported file format: UNKNOWN\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " ✓ Success - extracted 0 time steps\n", + " [3/59] Processing: bnfcsapr2cfrS3.a1.20250521.001002.nc\n", + " ✓ Success - extracted 0 time steps\n", + " [4/59] Processing: bnfcsapr2cfrS3.a1.20250521.001020.nc\n", + " ✓ Success - extracted 0 time steps\n", + " [5/59] Processing: bnfcsapr2cfrS3.a1.20250521.002002.nc\n", + " ✓ Success - extracted 0 time steps\n", + " [6/59] Processing: bnfcsapr2cfrS3.a1.20250521.002940.nc\n", + " ✓ Success - extracted 0 time steps\n", + " [7/59] Processing: bnfcsapr2cfrS3.a1.20250521.003002.nc\n", + " ✓ Success - extracted 0 time steps\n", + " [8/59] Processing: bnfcsapr2cfrS3.a1.20250521.003948.nc\n", + " ✓ Success - extracted 0 time steps\n", + " [9/59] Processing: 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to 2025-05-21T04:59:01\n", + " radar_xsacr: 138 columns\n", + " Time range: 2025-05-21T00:00:02 to 2025-05-21T04:36:02\n", + " radar_csapr2: 59 columns\n", + " Time range: 2025-05-21T00:00:00 to 2025-05-21T04:51:05\n", + "Loading timestamps from ld_S30...\n", + " Time range: 2025-05-21T00:00:00.000000000 to 2025-05-21T04:59:00.000000000\n", + "\n", + "Overall time range: 2025-05-21T00:00:00.000000000 to 2025-05-21T04:59:00.000000000\n", + "\n", + "================================================================================\n", + "STEP 3: Fetching NEXRAD data\n", + "================================================================================\n", + " NEXRAD site: auto-detect from ARM site\n", + " Number of NEXRAD time steps to fetch: 300\n", + " Time list: 2025-05-21T00:00:00 to 2025-05-21T04:59:00\n", + " Fetching 300 NEXRAD columns via thread pool...\n", + " Completed 5/300 NEXRAD columns...\n", + " Completed 10/300 NEXRAD columns...\n", + " Completed 15/300 NEXRAD columns...\n", + " Completed 20/300 NEXRAD columns...\n", + " Completed 25/300 NEXRAD columns...\n", + " Completed 30/300 NEXRAD columns...\n", + " Completed 35/300 NEXRAD columns...\n", + " Completed 40/300 NEXRAD columns...\n", + " Completed 45/300 NEXRAD columns...\n", + " Completed 50/300 NEXRAD columns...\n", + " Completed 55/300 NEXRAD columns...\n", + " Completed 60/300 NEXRAD columns...\n", + " Completed 65/300 NEXRAD columns...\n", + " Completed 70/300 NEXRAD columns...\n", + " Completed 75/300 NEXRAD columns...\n", + " Completed 80/300 NEXRAD columns...\n", + " Completed 85/300 NEXRAD columns...\n", + " Completed 90/300 NEXRAD columns...\n", + " Completed 95/300 NEXRAD columns...\n", + " Completed 100/300 NEXRAD columns...\n", + " Completed 105/300 NEXRAD columns...\n", + " Completed 110/300 NEXRAD columns...\n", + " Completed 115/300 NEXRAD columns...\n", + " Completed 120/300 NEXRAD columns...\n", + " Completed 125/300 NEXRAD columns...\n", + " Completed 130/300 NEXRAD columns...\n", + " Completed 135/300 NEXRAD columns...\n", + " Completed 140/300 NEXRAD columns...\n", + " Completed 145/300 NEXRAD columns...\n", + " Completed 150/300 NEXRAD columns...\n", + " Completed 155/300 NEXRAD columns...\n", + " Completed 160/300 NEXRAD columns...\n", + " Completed 165/300 NEXRAD columns...\n", + " Completed 170/300 NEXRAD columns...\n", + " Completed 175/300 NEXRAD columns...\n", + " Completed 180/300 NEXRAD columns...\n", + " Completed 185/300 NEXRAD columns...\n", + " Completed 190/300 NEXRAD columns...\n", + " Completed 195/300 NEXRAD columns...\n", + " Completed 200/300 NEXRAD columns...\n", + " Completed 205/300 NEXRAD columns...\n", + " Completed 210/300 NEXRAD columns...\n", + " Completed 215/300 NEXRAD columns...\n", + " Completed 220/300 NEXRAD columns...\n", + " Completed 225/300 NEXRAD columns...\n", + " Completed 230/300 NEXRAD columns...\n", + " Completed 235/300 NEXRAD columns...\n", + " Completed 240/300 NEXRAD columns...\n", + " Completed 245/300 NEXRAD columns...\n", + " Completed 250/300 NEXRAD columns...\n", + " Completed 255/300 NEXRAD columns...\n", + " Completed 260/300 NEXRAD columns...\n", + " Completed 265/300 NEXRAD columns...\n", + " Completed 270/300 NEXRAD columns...\n", + " Completed 275/300 NEXRAD columns...\n", + " Completed 280/300 NEXRAD columns...\n", + " Completed 285/300 NEXRAD columns...\n", + " Completed 290/300 NEXRAD columns...\n", + " Completed 295/300 NEXRAD columns...\n", + " Completed 300/300 NEXRAD columns...\n", + " Concatenating 300 valid NEXRAD columns...\n", + "\n", + "================================================================================\n", + "STEP 4: Concatenating and processing time coordinates\n", + "================================================================================\n", + " Processing radar_kasacr...\n", + " Concatenated dimensions: time=149, station=8, height=150\n", + " Processing radar_xsacr...\n", + " Concatenated dimensions: time=138, station=8, height=150\n", + " Processing radar_csapr2...\n", + " Concatenated dimensions: time=59, station=8, height=150\n", + " Processing NEXRAD columns...\n", + " NEXRAD dimensions: time=300, station=8, height=150\n", + " After removing duplicates: 13 time steps\n", + "\n", + "================================================================================\n", + "STEP 5: Time resampling and alignment\n", + "================================================================================\n", + " Time coordinate method: ld_S30\n", + "\n", + "================================================================================\n", + "STEP 6: Renaming variables and merging datasets\n", + "================================================================================\n", + " Renaming radar_kasacr variables with prefix: kasacr_\n", + " Renaming radar_xsacr variables with prefix: xsacr_\n", + " Renaming radar_csapr2 variables with prefix: csapr2_\n", + " Renaming NEXRAD variables with prefix: nexrad_\n", + " Merging 3 radar datasets...\n", + " Time arrays from radar_kasacr:\n", + " Time arrays from radar_xsacr:\n", + " Time arrays from radar_csapr2:\n", + "Dropping latitude from radar_xsacr\n", + "Dropping longitude from radar_xsacr\n", + "Dropping lat from radar_xsacr\n", + "Dropping lon from radar_xsacr\n", + "Dropping alt from radar_xsacr\n", + "Dropping lat from radar_csapr2\n", + "Dropping lon from radar_csapr2\n", + "Dropping latitude from radar_csapr2\n", + "Dropping longitude from radar_csapr2\n", + "Dropping alt from radar_csapr2\n", + "Dropping latitude from nexrad_columns\n", + "Dropping longitude from nexrad_columns\n", + "Dropping lat from nexrad_columns\n", + "Dropping lon from nexrad_columns\n", + "Dropping alt from nexrad_columns\n", + "Output xarray dataset so far:\n", + " Size: 92MB\n", + "Dimensions: (height: 150,\n", + " station: 8,\n", + " time: 300)\n", + "Coordinates:\n", + " * height (height) float64 1kB ...\n", + " * station (station) \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
<xarray.Dataset> Size: 128MB\n",
+       "Dimensions:                                                (time: 300,\n",
+       "                                                            height: 150,\n",
+       "                                                            station: 8)\n",
+       "Coordinates:\n",
+       "  * time                                                   (time) datetime64[ns] 2kB ...\n",
+       "  * height                                                 (height) float64 1kB ...\n",
+       "  * station                                                (station) <U3 96B ...\n",
+       "Data variables: (12/122)\n",
+       "    base_time                                              datetime64[ns] 8B ...\n",
+       "    time_offset                                            (time) datetime64[ns] 2kB ...\n",
+       "    csapr2_gate_time                                       (time, height, station) float64 3MB ...\n",
+       "    csapr2_mean_doppler_velocity                           (time, height, station) float64 3MB ...\n",
+       "    csapr2_differential_phase                              (time, height, station) float64 3MB ...\n",
+       "    csapr2_differential_reflectivity                       (time, height, station) float64 3MB ...\n",
+       "    ...                                                     ...\n",
+       "    wxt_wdir_vec_mean                                      (time, station) float64 19kB ...\n",
+       "    wxt_precip_rate_mean                                   (time, station) float64 19kB ...\n",
+       "    wxt_cumul_precip                                       (time, station) float64 19kB ...\n",
+       "    lat                                                    (station) float64 64B ...\n",
+       "    lon                                                    (station) float64 64B ...\n",
+       "    alt                                                    (station) float64 64B ...\n",
+       "Attributes: (12/19)\n",
+       "    Conventions:           ARM-1.3\n",
+       "    command_line:          \n",
+       "    process_version:       \n",
+       "    dod_version:           \n",
+       "    input_datastreams:     \n",
+       "    site_id:               \n",
+       "    ...                    ...\n",
+       "    doi:                   10.5439/3097348\n",
+       "    comment:               \n",
+       "    attributions:          This data is collected by the ARM User Facility. R...\n",
+       "    version:               1.0\n",
+       "    vap_name:              radclss\n",
+       "    history:
" + ], + "text/plain": [ + " Size: 128MB\n", + "Dimensions: (time: 300,\n", + " height: 150,\n", + " station: 8)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 2kB ...\n", + " * height (height) float64 1kB ...\n", + " * station (station) tolerance:\n", + " print(f\"ERROR: {station} {name} is {got}, expected {want}\")\n", + " ok = False\n", + "\n", + " for station in site_dict:\n", + " if station not in stations:\n", + " print(f\"WARNING: {station} is in the site config but not in the output\")\n", + " if ok:\n", + " print(f\"lat/lon/alt match the site config for all {len(stations)} stations\")\n", + " return ok\n", + "\n", + "\n", + "check_station_locations(my_columns, INPUT_SITE_DICT)" + ] + }, + { + "cell_type": "markdown", + "id": "965677ab", + "metadata": {}, + "source": [ + "## 9. Write the output\n", + "\n", + "`radclss.io.write_radclss_output` is the non-ADI counterpart of `dsproc.store_dataset`: it reads the\n", + "`radclss.c0` DOD and applies the DOD variable types as netCDF encoding. Two things to know about it:\n", + "it always fetches the DOD from `pcm.arm.gov` (there is no `dod_file` equivalent here, unlike the\n", + "`radclss.core.radclss` call above), and it ignores the `version` argument and uses the newest DOD\n", + "version. If you are offline, `my_columns.to_netcdf(OUTPUT_FILE)` writes the same data without the\n", + "DOD typing." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "765d68a4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Wrote /Users/rjackson/radclss_data/bnf/bnfradclssM1.c0.20250521.000000.nc (107.6 MB)\n" + ] + } + ], + "source": [ + "radclss.io.write_radclss_output(my_columns, str(OUTPUT_FILE), \"radclss.c0\")\n", + "print(f\"Wrote {OUTPUT_FILE} ({OUTPUT_FILE.stat().st_size / 1e6:.1f} MB)\")" + ] + }, + { + "cell_type": "markdown", + "id": "6ad537b0", + "metadata": {}, + "source": [ + "## 10. CSAPR2 and NEXRAD columns\n", + "\n", + "Variables carry the prefix of the radar they came from, so the C-band columns from\n", + "`bnfcsapr2cfrS3.a1` are `csapr2_*` and the S-band columns from KHTX are `nexrad_*`. Note this is\n", + "`cfr.a1` input rather than CMAC, so the fields are the raw moments: `csapr2_reflectivity` and\n", + "`csapr2_mean_doppler_velocity`, with no corrected or rain rate fields.\n", + "\n", + "Velocity limits are set near each radar's Nyquist velocity so that folded velocities stay readable." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "e6e0a1ca", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "COLUMN_FIELDS = [\n", + " (\"csapr2_reflectivity\", \"CSAPR2 reflectivity\", -20, 60, \"ChaseSpectral\"),\n", + " (\"csapr2_mean_doppler_velocity\", \"CSAPR2 Doppler velocity\", -16, 16, \"balance\"),\n", + " (\"nexrad_reflectivity\", \"KHTX reflectivity\", -20, 60, \"ChaseSpectral\"),\n", + " (\"nexrad_velocity\", \"KHTX Doppler velocity\", -30, 30, \"balance\"),\n", + "]\n", + "\n", + "\n", + "def plot_column(ds, field, station, ax, vmin, vmax, cmap, title):\n", + " \"\"\"Plot the time-height column of one field above one station.\"\"\"\n", + " if field not in ds:\n", + " ax.text(0.5, 0.5, f\"{field}\\nnot in output\", ha=\"center\", va=\"center\")\n", + " ax.set_axis_off()\n", + " return None\n", + " da = ds[field].sel(station=station)\n", + " units = da.attrs.get(\"units\", \"\")\n", + " mesh = da.plot(\n", + " x=\"time\",\n", + " y=\"height\",\n", + " ax=ax,\n", + " vmin=vmin,\n", + " vmax=vmax,\n", + " cmap=cmap,\n", + " cbar_kwargs={\"label\": f\"{da.attrs.get('long_name', field)} [{units}]\"},\n", + " )\n", + " ax.set_title(f\"{title} above {station}\")\n", + " ax.set_xlabel(\"Time [UTC]\")\n", + " ax.set_ylabel(\"Height [m MSL]\")\n", + " return mesh\n", + "\n", + "\n", + "fig, axarr = plt.subplots(2, 2, figsize=(16, 9), sharex=True, sharey=True)\n", + "for ax, (field, title, vmin, vmax, cmap) in zip(axarr.flatten(), COLUMN_FIELDS):\n", + " plot_column(my_columns, field, PLOT_STATION, ax, vmin, vmax, cmap, title)\n", + "for ax in axarr[0]:\n", + " ax.set_xlabel(\"\")\n", + "fig.suptitle(f\"RadCLss columns above {PLOT_STATION}, {SITE.upper()} {DATE}\")\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "id": "9e58f223", + "metadata": {}, + "source": [ + "The same field across every station, using the quicklook that ships with radclss. The columns are\n", + "extracted above each surface station, so this is the C-band reflectivity that each in-situ site saw\n", + "overhead." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "d625fa0c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axarr = radclss.vis.create_radclss_columns(\n", + " my_columns, field=\"csapr2_reflectivity\", vmin=-20, vmax=60\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "f2e01298", + "metadata": {}, + "source": [ + "## 11. Precipitation rates and accumulation\n", + "\n", + "The rates come from the disdrometers (`ldquants` at M1 and S30, `vdisquants` at M1) and the weighing\n", + "bucket gauge (`wbpluvio2` at M1), all resampled onto the column time grid.\n", + "\n", + "The accumulation is integrated here rather than with `act.utils.accumulate_precip`, because that\n", + "helper only converts to mm when the units string is exactly `mm/hr`: `ldquants_rain_rate` arrives as\n", + "`mm/hour` and would be summed unconverted, giving an accumulation 60 times too large at 1 minute\n", + "sampling. `accumulate_rate` below accepts the spellings these datastreams actually use and\n", + "integrates over the real time steps." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "dd508258", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "RATE_UNITS = (\"mm/hr\", \"mm/hour\", \"mm/h\", \"mm h-1\")\n", + "\n", + "PRECIP_RATES = [\n", + " (\"intensity_rtnrt\", \"M1\", \"Pluvio2 (M1)\"),\n", + " (\"ldquants_rain_rate\", \"M1\", \"LDQUANTS (M1)\"),\n", + " (\"ldquants_rain_rate\", \"S30\", \"LDQUANTS (S30)\"),\n", + " (\"vdisquants_rain_rate\", \"M1\", \"VDISQUANTS (M1)\"),\n", + "]\n", + "\n", + "\n", + "def accumulate_rate(ds, field, station):\n", + " \"\"\"Integrate a precipitation rate over time, returning accumulation in mm.\"\"\"\n", + " da = ds[field].sel(station=station)\n", + " units = da.attrs.get(\"units\", \"\").strip().lower()\n", + " if units not in RATE_UNITS:\n", + " raise ValueError(f\"{field} has units {units!r}, which is not a rate in mm/hour\")\n", + " seconds = np.diff(da[\"time\"].values).astype(\"timedelta64[s]\").astype(float)\n", + " hours = np.concatenate([[0.0], seconds]) / 3600.0\n", + " accumulated = np.cumsum(np.nan_to_num(da.values, nan=0.0) * hours)\n", + " return xr.DataArray(\n", + " accumulated,\n", + " coords={\"time\": da[\"time\"]},\n", + " dims=\"time\",\n", + " attrs={\"long_name\": f\"Accumulated {field}\", \"units\": \"mm\"},\n", + " )\n", + "\n", + "\n", + "fig, (ax_rate, ax_accum) = plt.subplots(2, 1, figsize=(14, 8), sharex=True)\n", + "for field, station, label in PRECIP_RATES:\n", + " if field not in my_columns:\n", + " print(f\"{field} is not in the output, skipping {label}\")\n", + " continue\n", + " my_columns[field].sel(station=station).plot(x=\"time\", ax=ax_rate, label=label)\n", + " accumulate_rate(my_columns, field, station).plot(x=\"time\", ax=ax_accum, label=label)\n", + "\n", + "# The MET tipping bucket reports a per-interval total rather than a rate, so it\n", + "# accumulates with a plain cumulative sum.\n", + "if \"tbrg_precip_total_corr\" in my_columns:\n", + " tbrg = my_columns[\"tbrg_precip_total_corr\"].sel(station=PLOT_STATION)\n", + " ax_accum.plot(\n", + " tbrg[\"time\"], np.nancumsum(tbrg.values), label=f\"MET TBRG ({PLOT_STATION})\"\n", + " )\n", + "\n", + "ax_rate.set_title(f\"Precipitation rate, {SITE.upper()} {DATE}\")\n", + "ax_rate.set_ylabel(\"Rate [mm/hour]\")\n", + "ax_rate.set_xlabel(\"\")\n", + "ax_accum.set_title(\"Accumulated precipitation\")\n", + "ax_accum.set_ylabel(\"Accumulation [mm]\")\n", + "ax_accum.set_xlabel(\"Time [UTC]\")\n", + "for ax in (ax_rate, ax_accum):\n", + " ax.legend(loc=\"upper left\")\n", + " ax.grid(True)\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "id": "c29fe257", + "metadata": {}, + "source": [ + "## What this notebook leaves out\n", + "\n", + "Three pieces of the VAP have no counterpart here, all of them ADI's job rather than radclss':\n", + "\n", + "- **The output DOD.** The VAP maps every variable into an ADI output dataset built from the\n", + " `radclss.c0` DOD, so anything missing from the DOD is dropped with an error logged. Here the full\n", + " radclss output is written, DOD or no DOD.\n", + "- **Missing value handling.** The VAP replaces NaN with each variable's DOD missing value before\n", + " `dsproc.set_var_data`. This notebook first masks input `-9999` values as NaN so they do not plot\n", + " as measurements; the netCDF writer retains the variable fill-value metadata.\n", + "- **Quicklooks and the processing loop.** `quicklook_hook` and ADI's interval loop, reprocessing\n", + " flags and file naming are all outside this notebook; it runs one interval, once." + ] + } + ], + "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": "3.14.2" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/src/radclss/core/radclss_core.py b/src/radclss/core/radclss_core.py index 476797a..7283a18 100644 --- a/src/radclss/core/radclss_core.py +++ b/src/radclss/core/radclss_core.py @@ -1,6 +1,8 @@ import logging +import re import time import traceback +from pathlib import Path import act import numpy as np @@ -20,6 +22,64 @@ logger = logging.getLogger(__name__) +_DATASTREAM_RE = re.compile(r"^([^.]+\.[a-z]\d)(?:\.|$)", re.IGNORECASE) +_SITE_SUFFIX_RE = re.compile(r"[A-Z]\d+(?=\.[a-z]\d$)", re.IGNORECASE) + + +def _datastream_from_path(path): + """Return the ARM datastream identifier encoded in an input filename.""" + match = _DATASTREAM_RE.match(Path(str(path)).name) + if not match: + return None + return _SITE_SUFFIX_RE.sub("", match.group(1)) + + +def _source_prefix(volume_key): + """Return the output-variable prefix associated with a volumes key.""" + instrument = volume_key.split("_", 1)[0] + if instrument == "radar": + return volume_key.split("_", 1)[1] + "_" + return { + "ld": "ldquants_", + "vd": "vdisquants_", + "wxt": "wxt_", + "sonde": "sonde_", + "kazr": "kazr_", + "kazr2": "kazr2_", + }.get(instrument) + + +def _update_source_attributes(ds, volumes): + """Add input datastream IDs to DOD-approved output variables. + + This is intentionally called after the dataset has been created from the + DOD and populated. Thus provenance is added only to variables that are + present in the DOD-defined output dataset, replacing stale values on + variables whose input datastream can be identified. + """ + datastreams = {} + for key, paths in volumes.items(): + if key == "date" or not paths: + continue + path = paths[0] if isinstance(paths, (list, tuple)) else paths + datastream = _datastream_from_path(path) + if datastream: + datastreams[key] = datastream + + for name, variable in ds.data_vars.items(): + for key, datastream in datastreams.items(): + prefix = _source_prefix(key) + if prefix and name.startswith(prefix): + variable.attrs["source"] = datastream + break + + +def _remove_input_datastream_attributes(ds): + """Remove intermediate input-datastream metadata from output variables.""" + for variable in ds.data_vars.values(): + variable.attrs.pop("input_datastream", None) + + def radclss( volumes, input_site_dict, @@ -895,6 +955,11 @@ def _get_nexrad_wrapper(time_str): del ds["time_offset"].attrs["units"] del ds["time"].attrs["units"] + # The DOD has already constrained ``ds`` to approved output variables. + # Attach provenance only now, once all variables have been populated. + _update_source_attributes(ds, volumes) + _remove_input_datastream_attributes(ds) + if verbose: print(" Adding input datastream names to dataset attributes...") for k, v in datastream_names.items(): diff --git a/tests/test_radclss.py b/tests/test_radclss.py index 226cccf..df533e0 100644 --- a/tests/test_radclss.py +++ b/tests/test_radclss.py @@ -9,7 +9,36 @@ from distributed import Client, LocalCluster import radclss -from radclss.core.radclss_core import _prune_empty_columns +from radclss.core.radclss_core import ( + _prune_empty_columns, + _remove_input_datastream_attributes, + _update_source_attributes, +) + + +def test_update_source_attributes_from_input_datastreams(): + ds = xr.Dataset( + { + "csapr2_reflectivity": ("time", [1.0]), + "sonde_u_wind": ("time", [2.0]), + "unmatched_variable": ("time", [3.0]), + }, + coords={"time": [0]}, + ) + ds["sonde_u_wind"].attrs["source"] = "existing-source" + ds["sonde_u_wind"].attrs["input_datastream"] = "temporary-source" + volumes = { + "radar_csapr2": ["/data/bnfcsapr2cfrS3.a1.20250619.120000.nc"], + "sonde": ["/data/bnfinterpolatedsondeM1.c1.20250619.000000.nc"], + } + + _update_source_attributes(ds, volumes) + _remove_input_datastream_attributes(ds) + + assert ds["csapr2_reflectivity"].attrs["source"] == "bnfcsapr2cfr.a1" + assert ds["sonde_u_wind"].attrs["source"] == "bnfinterpolatedsonde.c1" + assert "input_datastream" not in ds["sonde_u_wind"].attrs + assert "source" not in ds["unmatched_variable"].attrs def test_radclss_serial():