Hurricane Milton Wind and SSH Figure#
This notebook loads L4 wind, L3 along-track SSH, and L3 SWOT over the Gulf of Mexico for selected dates during Hurricane Miltion, then generates the multi-panel figure with the hurricane track and eye markers.
# Verify ocean_taco is installed.
# Uncomment one line to install inside this notebook:
%pip install "ocean_taco[hf] @ git+https://github.com/nilsleh/oceanTACO.git@main"
# %pip install ocean-taco[hf]
import ocean_taco
print(f"ocean_taco {ocean_taco.__version__} ready")
Collecting ocean_taco@ git+https://github.com/nilsleh/oceanTACO.git@main (from ocean_taco[hf]@ git+https://github.com/nilsleh/oceanTACO.git@main)
Cloning https://github.com/nilsleh/oceanTACO.git (to revision main) to /tmp/pip-install-q76trngb/ocean-taco_4d5fd80f298c4a3389f1fde8cdc6eadc
Running command git clone --filter=blob:none --quiet https://github.com/nilsleh/oceanTACO.git /tmp/pip-install-q76trngb/ocean-taco_4d5fd80f298c4a3389f1fde8cdc6eadc
Resolved https://github.com/nilsleh/oceanTACO.git to commit 0ef0983b4a9735c2229bd34f90f847c4c303bd34
Installing build dependencies ... ?25l?25hdone
Getting requirements to build wheel ... ?25l?25hdone
Preparing metadata (pyproject.toml) ... ?25l?25hdone
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Requirement already satisfied: torch>=2.2 in /usr/local/lib/python3.12/dist-packages (from ocean_taco@ git+https://github.com/nilsleh/oceanTACO.git@main->ocean_taco[hf]@ git+https://github.com/nilsleh/oceanTACO.git@main) (2.10.0+cpu)
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Collecting cartopy>=0.23.0 (from ocean_taco@ git+https://github.com/nilsleh/oceanTACO.git@main->ocean_taco[hf]@ git+https://github.com/nilsleh/oceanTACO.git@main)
Downloading cartopy-0.25.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (6.1 kB)
Collecting tacoreader>=2.4.20 (from ocean_taco@ git+https://github.com/nilsleh/oceanTACO.git@main->ocean_taco[hf]@ git+https://github.com/nilsleh/oceanTACO.git@main)
Downloading tacoreader-2.4.20-py3-none-any.whl.metadata (3.0 kB)
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Collecting pydantic>=2.12.5 (from ocean_taco@ git+https://github.com/nilsleh/oceanTACO.git@main->ocean_taco[hf]@ git+https://github.com/nilsleh/oceanTACO.git@main)
Downloading pydantic-2.12.5-py3-none-any.whl.metadata (90 kB)
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Requirement already satisfied: datasets>=2.19 in /usr/local/lib/python3.12/dist-packages (from ocean_taco@ git+https://github.com/nilsleh/oceanTACO.git@main->ocean_taco[hf]@ git+https://github.com/nilsleh/oceanTACO.git@main) (4.0.0)
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Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.12/dist-packages (from matplotlib>=3.10->ocean_taco@ git+https://github.com/nilsleh/oceanTACO.git@main->ocean_taco[hf]@ git+https://github.com/nilsleh/oceanTACO.git@main) (2.9.0.post0)
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Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.12/dist-packages (from pandas>=2.2->ocean_taco@ git+https://github.com/nilsleh/oceanTACO.git@main->ocean_taco[hf]@ git+https://github.com/nilsleh/oceanTACO.git@main) (2025.2)
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Collecting pydantic-core==2.41.5 (from pydantic>=2.12.5->ocean_taco@ git+https://github.com/nilsleh/oceanTACO.git@main->ocean_taco[hf]@ git+https://github.com/nilsleh/oceanTACO.git@main)
Downloading pydantic_core-2.41.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.3 kB)
Requirement already satisfied: typing-inspection>=0.4.2 in /usr/local/lib/python3.12/dist-packages (from pydantic>=2.12.5->ocean_taco@ git+https://github.com/nilsleh/oceanTACO.git@main->ocean_taco[hf]@ git+https://github.com/nilsleh/oceanTACO.git@main) (0.4.2)
Requirement already satisfied: affine in /usr/local/lib/python3.12/dist-packages (from rasterio>=1.3->ocean_taco@ git+https://github.com/nilsleh/oceanTACO.git@main->ocean_taco[hf]@ git+https://github.com/nilsleh/oceanTACO.git@main) (2.4.0)
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Collecting obstore>=0.8.1 (from tacoreader>=2.4.20->ocean_taco@ git+https://github.com/nilsleh/oceanTACO.git@main->ocean_taco[hf]@ git+https://github.com/nilsleh/oceanTACO.git@main)
Downloading obstore-0.9.2-cp311-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.9 kB)
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Collecting pyarrow>=15.0.0 (from datasets>=2.19->ocean_taco@ git+https://github.com/nilsleh/oceanTACO.git@main->ocean_taco[hf]@ git+https://github.com/nilsleh/oceanTACO.git@main)
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Collecting tacozip>=0.11.4 (from tacoreader>=2.4.20->ocean_taco@ git+https://github.com/nilsleh/oceanTACO.git@main->ocean_taco[hf]@ git+https://github.com/nilsleh/oceanTACO.git@main)
Downloading tacozip-0.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.4 kB)
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?25hBuilding wheels for collected packages: ocean_taco
Building wheel for ocean_taco (pyproject.toml) ... ?25l?25hdone
Created wheel for ocean_taco: filename=ocean_taco-0.1.0-py3-none-any.whl size=244295 sha256=8203e222310983a9aa385ae8403d095ac29d08a5fba7fda79953a4d3cdc8203d
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Successfully built ocean_taco
Installing collected packages: tacozip, pydantic-core, pyarrow, obstore, pydantic, tacoreader, cartopy, ocean_taco
Attempting uninstall: pydantic-core
Found existing installation: pydantic_core 2.41.4
Uninstalling pydantic_core-2.41.4:
Successfully uninstalled pydantic_core-2.41.4
Attempting uninstall: pyarrow
Found existing installation: pyarrow 18.1.0
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Successfully uninstalled pyarrow-18.1.0
Attempting uninstall: pydantic
Found existing installation: pydantic 2.12.3
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Successfully uninstalled pydantic-2.12.3
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
gradio 5.50.0 requires pydantic<=2.12.3,>=2.0, but you have pydantic 2.12.5 which is incompatible.
Successfully installed cartopy-0.25.0 obstore-0.9.2 ocean_taco-0.1.0 pyarrow-23.0.1 pydantic-2.12.5 pydantic-core-2.41.5 tacoreader-2.4.20 tacozip-0.12.0
ocean_taco 0.1.0 ready
%matplotlib inline
import warnings
from IPython.display import Image, display
from ocean_taco.viz.paper.plot_hurricane_milton import (
DEFAULT_DATES,
HF_DEFAULT_URL,
LAT_MAX,
LAT_MIN,
LON_MAX,
LON_MIN,
load_date,
load_hf_dataset,
make_figure,
)
warnings.filterwarnings("ignore", category=RuntimeWarning)
# -- Configuration --
HF_URL = HF_DEFAULT_URL
CACHE_DIR = None # set to a local path to cache downloaded tiles
OUTPUT = "plot_hurricane_milton.png" # e.g. docs/tutorials/plot_hurricane_milton.png
DATES = list(DEFAULT_DATES) # e.g. ["2024-10-05", "2024-10-07", "2024-10-09"]
print("=" * 55)
print(" OceanTACO - Hurricane Milton Wind and SSH Figure")
print(f" Dates : {', '.join(DATES)}")
print(f" Region : Gulf of Mexico ({LON_MIN} to {LON_MAX} deg lon, {LAT_MIN} to {LAT_MAX} deg lat)")
print("=" * 55)
dataset_hf = load_hf_dataset(HF_URL)
all_data = {}
valid_dates = []
for date_str in DATES:
print(f"\n Loading {date_str} ...")
data = load_date(dataset_hf, date_str, cache_dir=CACHE_DIR)
if data:
all_data[date_str] = data
valid_dates.append(date_str)
else:
print(f" Skipping {date_str} - no data found.")
if not valid_dates:
raise RuntimeError("No data found for any selected date.")
print(f"\n Generating figure for {len(valid_dates)} date(s) ...")
make_figure(all_data, valid_dates, output_path=OUTPUT)
display(Image(filename=OUTPUT))
=======================================================
OceanTACO - Hurricane Milton Wind and SSH Figure
Dates : 2024-10-05, 2024-10-07, 2024-10-09, 2024-10-10
Region : Gulf of Mexico (-100 to -75 deg lon, 15 to 32 deg lat)
=======================================================
Loading 2024-10-05 ...
L4 Wind (0.125°) : loaded
/usr/local/lib/python3.12/dist-packages/ocean_taco/dataset/retrieve.py:357: FutureWarning: In a future version of xarray the default value for data_vars will change from data_vars='all' to data_vars=None. This is likely to lead to different results when multiple datasets have matching variables with overlapping values. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set data_vars explicitly.
return xr.combine_by_coords(tile_datasets, combine_attrs="override")
L3 along-track (7 km) : loaded
L3 SWOT (2 km) : loaded
Loading 2024-10-07 ...
L4 Wind (0.125°) : loaded
/usr/local/lib/python3.12/dist-packages/ocean_taco/dataset/retrieve.py:357: FutureWarning: In a future version of xarray the default value for data_vars will change from data_vars='all' to data_vars=None. This is likely to lead to different results when multiple datasets have matching variables with overlapping values. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set data_vars explicitly.
return xr.combine_by_coords(tile_datasets, combine_attrs="override")
L3 along-track (7 km) : loaded
L3 SWOT (2 km) : loaded
Loading 2024-10-09 ...
L4 Wind (0.125°) : loaded
/usr/local/lib/python3.12/dist-packages/ocean_taco/dataset/retrieve.py:357: FutureWarning: In a future version of xarray the default value for data_vars will change from data_vars='all' to data_vars=None. This is likely to lead to different results when multiple datasets have matching variables with overlapping values. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set data_vars explicitly.
return xr.combine_by_coords(tile_datasets, combine_attrs="override")
L3 along-track (7 km) : loaded
L3 SWOT (2 km) : loaded
Loading 2024-10-10 ...
L4 Wind (0.125°) : loaded
/usr/local/lib/python3.12/dist-packages/ocean_taco/dataset/retrieve.py:357: FutureWarning: In a future version of xarray the default value for data_vars will change from data_vars='all' to data_vars=None. This is likely to lead to different results when multiple datasets have matching variables with overlapping values. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set data_vars explicitly.
return xr.combine_by_coords(tile_datasets, combine_attrs="override")
L3 along-track (7 km) : loaded
L3 SWOT (2 km) : loaded
Generating figure for 4 date(s) ...
/usr/local/lib/python3.12/dist-packages/cartopy/io/__init__.py:242: DownloadWarning: Downloading: https://naturalearth.s3.amazonaws.com/50m_physical/ne_50m_coastline.zip
warnings.warn(f'Downloading: {url}', DownloadWarning)
/usr/local/lib/python3.12/dist-packages/cartopy/io/__init__.py:242: DownloadWarning: Downloading: https://naturalearth.s3.amazonaws.com/50m_physical/ne_50m_land.zip
warnings.warn(f'Downloading: {url}', DownloadWarning)
Figure saved to plot_hurricane_milton.png
