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arl-met

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Read, write, subset, and sample NOAA ARL meteorological files.

arl-met provides a Python-first interface to the ARL packed meteorology format used by HYSPLIT and related workflows. It supports:

  • low-level record-preserving reads and writes through File, RecordSet, and DataRecord
  • xarray Dataset reads and common-case writes through open_dataset() and write_dataset(), plus an xarray backend (xr.open_dataset(path, engine="arl"))
  • downloading from NOAA's ARL archives (HRRR, NAM, GDAS, GFS, ...) with optional crop-on-download
  • crop-before-unpack subset extraction with extract_subset()
  • vertical helper functions such as pressure(), z_agl(), and z_msl()
  • point sampling with sample_points()
  • joining files with concat() and concat_by_time() (e.g. 6-hourly into daily)

Status

arl-met is in beta. The core API is settled enough to build on, but it may still change before 1.0; breaking changes are marked Breaking in the changelog.

Strengths:

  • low-level ARL fidelity, including preservation of trailing DIF* records
  • xarray-native analysis workflow for common ARL files
  • direct subset extraction and point sampling
  • tested support for Python 3.11 through 3.14

Known limitations:

  • write_dataset() is intentionally conservative and targets the flat common-case Dataset contract
  • complex multi-record DIFF chains are not tested
  • WRF vertical flag 5 and rotated grids are not implemented

Installation

Install the core package:

pip install arlmet

Install the optional archive-download dependencies:

pip install "arlmet[archives]"

For development:

git clone https://github.com/jmineau/arl-met.git
cd arl-met
uv sync --dev

Quick examples

Open an ARL file as a Dataset:

import arlmet

ds = arlmet.open_dataset("met.arl")
print(ds)

# or through xarray, e.g. to get dask-backed arrays
import xarray as xr
ds = xr.open_dataset("met.arl", engine="arl", chunks={"time": 1})

Modify a Dataset and write it back:

import arlmet

ds = arlmet.open_dataset("met.arl")
ds["TEMP"] = ds["TEMP"] - 273.15
ds["WWND"].attrs["diff"] = "DIFW"
arlmet.write_dataset(ds, "edited.arl")

Extract a subset without unpacking the full file first:

import arlmet

arlmet.extract_subset(
    "met.arl",
    "subset.arl",
    bbox=(-114.0, 39.0, -110.0, 42.0),
    levels=[0, 1, 2],
)  # returns the output path (a pathlib.Path)

Join short files into longer ones (HYSPLIT accepts at most 12 met files per run):

import arlmet

# join a list of files into one (ordered by valid time)
arlmet.concat(["20240101_00_hrrr", "20240101_06_hrrr"], "20240101_hrrr")

# or batch a whole directory into daily files
arlmet.concat_by_time(
    "hrrr/", "daily/", freq="1D", pattern="*_hrrr", template="{time:%Y%m%d}_hrrr"
)

Use the low-level writer for irregular layouts:

import numpy as np
import pandas as pd
import arlmet

grid = arlmet.Grid(
    projection=arlmet.Projection(
        pole_lat=90.0,
        pole_lon=0.0,
        tangent_lat=1.0,
        tangent_lon=1.0,
        grid_size=0.0,
        orientation=0.0,
        cone_angle=0.0,
        sync_x=1.0,
        sync_y=1.0,
        sync_lat=-10.0,
        sync_lon=20.0,
    ),
    nx=20,
    ny=20,
)
vertical_axis = arlmet.PressureAxis(levels=[0.0, 1000.0])
time = pd.Timestamp("2024-07-18 00:00")

prss = np.ones((grid.ny, grid.nx), dtype=np.float32)
wwnd = np.ones((grid.ny, grid.nx), dtype=np.float32)

with arlmet.File("custom.arl", mode="w", source="TEST", grid=grid, vertical_axis=vertical_axis) as arl:
    rs = arl.create_recordset(time, forecast=0)
    rs.create_datarecord("PRSS", level=0, forecast=0, data=prss)
    rs.create_datarecord("WWND", level=1, forecast=0, data=wwnd, diff="DIFW")

Records are held in memory until the file is flushed or closed. When writing many time steps, call arl.flush() after filling each one so memory stays bounded by a single time step.

Resources

Documentation is available at https://jmineau.github.io/arl-met/

Useful ARL/HYSPLIT references:

Related project:

  • ARLreader, which focuses on GDAS1 files, while arl-met targets a broader ARL/xarray workflow.

Release notes

See CHANGELOG.md for release history.

Contributing

Contributions are welcome. See CONTRIBUTING.md for development setup and contribution guidelines.

Use of AI coding agents

This project is developed with the help of AI coding agents, directed and reviewed by the maintainer, who owns the design and the science.

License

This project is licensed under the MIT License. See LICENSE.

Metadata

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arlmet-0.1.0b2-cp314-cp314-win_amd64.whl CPython 3.14 CPython 3.14 Windows x86-64 Details
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arlmet-0.1.0b2-cp314-cp314-macosx_11_0_arm64.whl CPython 3.14 CPython 3.14 macOS 11.0+ ARM64 Details
arlmet-0.1.0b2-cp314-cp314-macosx_10_15_x86_64.whl CPython 3.14 CPython 3.14 macOS 10.15+ x86-64 Details
arlmet-0.1.0b2-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details
arlmet-0.1.0b2-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.5+ x86-64, Linux glibc 2.28+ x86-64 Details
arlmet-0.1.0b2-cp313-cp313-macosx_11_0_arm64.whl CPython 3.13 CPython 3.13 macOS 11.0+ ARM64 Details
arlmet-0.1.0b2-cp313-cp313-macosx_10_13_x86_64.whl CPython 3.13 CPython 3.13 macOS 10.13+ x86-64 Details
arlmet-0.1.0b2-cp312-cp312-win_amd64.whl CPython 3.12 CPython 3.12 Windows x86-64 Details
arlmet-0.1.0b2-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.28+ x86-64, Linux glibc 2.5+ x86-64 Details
arlmet-0.1.0b2-cp312-cp312-macosx_11_0_arm64.whl CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details
arlmet-0.1.0b2-cp312-cp312-macosx_10_13_x86_64.whl CPython 3.12 CPython 3.12 macOS 10.13+ x86-64 Details
arlmet-0.1.0b2-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details
arlmet-0.1.0b2-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.5+ x86-64, Linux glibc 2.28+ x86-64 Details
arlmet-0.1.0b2-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details
arlmet-0.1.0b2-cp311-cp311-macosx_10_9_x86_64.whl CPython 3.11 CPython 3.11 macOS 10.9+ x86-64 Details

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Release files / arlmet-0.1.0b2-cp311-cp311-macosx_11_0_arm64.whl

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Release files / arlmet-0.1.0b2-cp311-cp311-macosx_10_9_x86_64.whl

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