diff --git a/config/preprocess_netcdf.toml b/config/preprocess_netcdf.toml
new file mode 100644
index 0000000..58216ce
--- /dev/null
+++ b/config/preprocess_netcdf.toml
@@ -0,0 +1,4 @@
+[CropFiles]
+input_dir = "ims_1km"
+output_dir = "ims_netcdf_1km_cropped_4_000_000km_window"
+window_size = 4000
diff --git a/icedyno/preprocess/crop.py b/icedyno/preprocess/crop.py
new file mode 100644
index 0000000..0a5ea5f
--- /dev/null
+++ b/icedyno/preprocess/crop.py
@@ -0,0 +1,80 @@
+""" 
+To run this as a Luigi DAG locally:
+``pixi run python icedyno/preprocess/crop.py``
+
+You may have to enable toml support with luigi by setting an variable in your terminal, like ``export LUIGI_CONFIG_PARSER=toml``
+"""
+import glob
+import os
+import pathlib
+
+import luigi
+import xarray as xr
+
+
+class CropFiles(luigi.Task):
+    """
+    Crop IMS and MASIE NetCDF files from the center of their grids (where x, y == 1/2*sie.shape) based on input window_size.
+
+    """
+
+    input_dir = luigi.Parameter()
+    output_dir = luigi.Parameter()
+
+    window_size = luigi.IntParameter(default=4000)
+    year = luigi.IntParameter()
+
+    def output(self) -> luigi.LocalTarget:
+        return luigi.LocalTarget(
+            os.path.join("data", self.output_dir, f"_SUCCESS_{self.year}")
+        )
+
+    def run(self) -> None:
+        year_output_dir = os.path.join("data", self.output_dir, str(self.year))
+        if not os.path.exists(year_output_dir):
+            os.makedirs(year_output_dir)
+
+        input_cdf_files = glob.glob(
+            os.path.join("data", self.input_dir, str(self.year), "*.nc")
+        )
+
+        for cdf_filepath in input_cdf_files:
+            output_filename = (
+                os.path.join(year_output_dir, pathlib.Path(cdf_filepath).stem)
+                + f"_grid{self.window_size}.nc"
+            )
+            if os.path.exists(output_filename):
+                print(cdf_filepath, "already on disk, skipping...")
+
+            # Open the original NetCDF file
+            ds = xr.open_dataset(cdf_filepath, engine="h5netcdf")
+
+            x_coord = ds["x"].shape[0] // 2
+            y_coord = ds["y"].shape[0] // 2
+            window = self.window_size * 1000
+
+            cropped_ds = ds.sel(
+                x=slice(x_coord - window, x_coord + window),
+                y=slice(y_coord - window, y_coord + window),
+            )
+
+            # Write the cropped data to a new NetCDF file
+            cropped_ds.to_netcdf(output_filename, engine="h5netcdf")
+
+
+if __name__ == "__main__":
+    os.environ["LUIGI_CONFIG_PARSER"] = "toml"
+
+    config_path = os.path.join("config", "preprocess_netcdf.toml")
+
+    config = luigi.configuration.get_config(parser="toml")
+    config.read(config_path)
+
+    luigi.configuration.add_config_path(config_path)
+
+    ## Change acording to your number of cores
+    n_workers = 10
+    years = range(2014, 2025)
+
+    tasks = [CropFiles(year=year) for year in years]
+    luigi.build(tasks, workers=n_workers, local_scheduler=True)
diff --git a/pixi.lock b/pixi.lock
index 2cd6f99..69d01ad 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -40,6 +40,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.2.0-py312h8572e83_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.13.6-h5008d03_3.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.1-py312h30efb56_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/docutils-0.20.1-py312h7900ff3_3.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/expat-2.6.1-h59595ed_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-hd590300_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/luigi-3.5.0-py312h7900ff3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.9.4-hcb278e6_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
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       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.25.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/lockfile-0.12.2-py_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mapclassify-2.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/markdown-3.5.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.6-pyhd8ed1ab_0.tar.bz2
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       - conda: https://conda.anaconda.org/conda-forge/noarch/poppler-data-0.4.12-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.6.2-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.14.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd3deb0d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
@@ -326,6 +330,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.0.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-daemon-3.0.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
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       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.25.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/lockfile-0.12.2-py_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mapclassify-2.6.1-pyhd8ed1ab_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.14.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.0.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-daemon-3.0.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.2.1-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2
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       - conda: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.8.1-py312hede676d_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.3.0-pyhd8ed1ab_0.conda
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.2.1-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2
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@@ -851,6 +866,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/debugpy-1.8.1-py312h20a0b95_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/docutils-0.20.1-py312h81bd7bf_3.conda
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       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/llvm-openmp-17.0.6-hcd81f8e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/luigi-3.5.0-py312h81bd7bf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/lz4-c-1.9.4-hb7217d7_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/markupsafe-2.1.5-py312he37b823_0.conda
@@ -1018,6 +1035,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
@@ -1076,7 +1094,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/noarch/poppler-data-0.4.12-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.6.2-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.14.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.21-pyhd8ed1ab_0.tar.bz2
@@ -1227,6 +1245,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/win-64/libzip-1.10.1-h1d365fa_3.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.2.13-hcfcfb64_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/luigi-3.5.0-py312h2e8e312_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/lz4-c-1.9.4-hcfcfb64_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/lzo-2.10-he774522_1000.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/m2w64-gcc-libgfortran-5.3.0-6.tar.bz2
@@ -3935,6 +3954,52 @@ packages:
   license_family: APACHE
   size: 274915
   timestamp: 1702383349284
+- kind: conda
+  name: docutils
+  version: 0.20.1
+  build: py312h7900ff3_3
+  build_number: 3
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/docutils-0.20.1-py312h7900ff3_3.conda
+  sha256: b9fb75d806afc53d9d7b98edb0c45ac38a3cc983916b8dac4ad7ddac5c18a024
+  md5: 1b90835ae26b9b8250b302649359a989
+  depends:
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+  - python_abi 3.12.* *_cp312
+  license: CC-PDDC AND BSD-3-Clause AND BSD-2-Clause AND ZPL-2.1
+  size: 898253
+  timestamp: 1701882735141
+- kind: conda
+  name: docutils
+  version: 0.20.1
+  build: py312h81bd7bf_3
+  build_number: 3
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/docutils-0.20.1-py312h81bd7bf_3.conda
+  sha256: e1ad41c6401ab2ada143d6e1dbbe6ae8afbe3e651211bb414b9ae1f0f8c13249
+  md5: 50ea9a1ab48349f343ca2ae82833bda4
+  depends:
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+  - python >=3.12,<3.13.0a0 *_cpython
+  - python_abi 3.12.* *_cp312
+  license: CC-PDDC AND BSD-3-Clause AND BSD-2-Clause AND ZPL-2.1
+  size: 901757
+  timestamp: 1701883118423
+- kind: conda
+  name: docutils
+  version: 0.20.1
+  build: py312hb401068_3
+  build_number: 3
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/docutils-0.20.1-py312hb401068_3.conda
+  sha256: 35b4dc2820e724be842f3987b9e9de57d9ab410d1f669d2a94ff997192281e70
+  md5: 02a0e6021c5d5a3338775d0dfe3c4d6b
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+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  license: CC-PDDC AND BSD-3-Clause AND BSD-2-Clause AND ZPL-2.1
+  size: 900339
+  timestamp: 1701883109471
 - kind: conda
   name: entrypoints
   version: '0.4'
@@ -5156,6 +5221,23 @@ packages:
   license_family: MIT
   size: 46754
   timestamp: 1634280590080
+- kind: conda
+  name: h5netcdf
+  version: 1.3.0
+  build: pyhd8ed1ab_0
+  subdir: noarch
+  noarch: python
+  url: https://conda.anaconda.org/conda-forge/noarch/h5netcdf-1.3.0-pyhd8ed1ab_0.conda
+  sha256: 0195b109e6b18d7efa06124d268fd5dd426f67e2feaee50a358211ba4a4b219b
+  md5: 6890388078d9a3a20ef793c5ffb169ed
+  depends:
+  - h5py
+  - packaging
+  - python >=3.9
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 42170
+  timestamp: 1699412919171
 - kind: conda
   name: h5py
   version: 3.10.0
@@ -10457,6 +10539,114 @@ packages:
   license_family: APACHE
   size: 274631
   timestamp: 1701222947083
+- kind: conda
+  name: lockfile
+  version: 0.12.2
+  build: py_1
+  build_number: 1
+  subdir: noarch
+  noarch: python
+  url: https://conda.anaconda.org/conda-forge/noarch/lockfile-0.12.2-py_1.tar.bz2
+  sha256: d3a68045ef74a2a7b8c8a55b242fdbc875d362e37adcf793613cf0d8c8e4fbf7
+  md5: c104d98e09c47519950cffb8dd5b4f10
+  depends:
+  - python
+  license: MIT
+  license_family: MIT
+  size: 10856
+  timestamp: 1531372274693
+- kind: conda
+  name: luigi
+  version: 3.5.0
+  build: py312h2e8e312_0
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/luigi-3.5.0-py312h2e8e312_0.conda
+  sha256: ef58be732d7aaf5cd57e4f23d99f43a77967c8e8966bdc9549f3d3906841c0f5
+  md5: 9f658de27da5c64db9c7670c9f80beb6
+  depends:
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+  - prometheus_client >=0.5.0,<0.15
+  - python >=3.12,<3.13.0a0
+  - python-dateutil >=2.7.5,<3
+  - python_abi 3.12.* *_cp312
+  - setuptools
+  - tenacity >=8,<9
+  - toml <2.0.0
+  - tornado >=5.0,<7
+  license: Apache-2.0
+  license_family: Apache
+  size: 1317712
+  timestamp: 1705340569066
+- kind: conda
+  name: luigi
+  version: 3.5.0
+  build: py312h7900ff3_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/luigi-3.5.0-py312h7900ff3_0.conda
+  sha256: 6ee26282116f16035d674502b28124810444e74cffee240c173269cba3fc6ac2
+  md5: 58cd3cea6fbceebe970da7f050689b86
+  depends:
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+  - prometheus_client >=0.5.0,<0.15
+  - python >=3.12,<3.13.0a0
+  - python-daemon
+  - python-dateutil >=2.7.5,<3
+  - python_abi 3.12.* *_cp312
+  - setuptools
+  - tenacity >=8,<9
+  - toml <2.0.0
+  - tornado >=5.0,<7
+  license: Apache-2.0
+  license_family: Apache
+  size: 1301655
+  timestamp: 1705340017029
+- kind: conda
+  name: luigi
+  version: 3.5.0
+  build: py312h81bd7bf_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/luigi-3.5.0-py312h81bd7bf_0.conda
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+  md5: 08cf3dcd12261e802c890463ec229a1d
+  depends:
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+  - prometheus_client >=0.5.0,<0.15
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
+  - python-daemon
+  - python-dateutil >=2.7.5,<3
+  - python_abi 3.12.* *_cp312
+  - setuptools
+  - tenacity >=8,<9
+  - toml <2.0.0
+  - tornado >=5.0,<7
+  license: Apache-2.0
+  license_family: Apache
+  size: 1305078
+  timestamp: 1705340376949
+- kind: conda
+  name: luigi
+  version: 3.5.0
+  build: py312hb401068_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/luigi-3.5.0-py312hb401068_0.conda
+  sha256: 4375efc5c5c9dd5b23a733e2df82e33e0b5030b5333c90e623911bcf77dd2a64
+  md5: 29a91174a844f96ac5bbdf186ffed0e0
+  depends:
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+  - prometheus_client >=0.5.0,<0.15
+  - python >=3.12,<3.13.0a0
+  - python-daemon
+  - python-dateutil >=2.7.5,<3
+  - python_abi 3.12.* *_cp312
+  - setuptools
+  - tenacity >=8,<9
+  - toml <2.0.0
+  - tornado >=5.0,<7
+  license: Apache-2.0
+  license_family: Apache
+  size: 1301543
+  timestamp: 1705340364904
 - kind: conda
   name: lz4-c
   version: 1.9.4
@@ -12670,19 +12860,19 @@ packages:
   timestamp: 1701485332654
 - kind: conda
   name: prometheus_client
-  version: 0.20.0
+  version: 0.14.1
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
-  sha256: 757cd91d01c2e0b64fadf6bc9a11f558cf7638d897dfbaf7415ddf324d5405c9
-  md5: 9a19b94034dd3abb2b348c8b93388035
+  url: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.14.1-pyhd8ed1ab_0.tar.bz2
+  sha256: 66d41fd720b39faad502ea4f67cf70c797ff4a4c5bc01fef536a0880e882713e
+  md5: b7fa7d86530b8de805268e48988eb483
   depends:
-  - python >=3.8
+  - python >=3.6
   license: Apache-2.0
   license_family: Apache
-  size: 48913
-  timestamp: 1707932844383
+  size: 50172
+  timestamp: 1649447244565
 - kind: conda
   name: prompt-toolkit
   version: 3.0.42
@@ -13345,6 +13535,25 @@ packages:
   license: Python-2.0
   size: 13085901
   timestamp: 1708117361381
+- kind: conda
+  name: python-daemon
+  version: 3.0.1
+  build: pyhd8ed1ab_2
+  build_number: 2
+  subdir: noarch
+  noarch: python
+  url: https://conda.anaconda.org/conda-forge/noarch/python-daemon-3.0.1-pyhd8ed1ab_2.conda
+  sha256: 0918c11fab3c3d40739047dcabd107379dd44f0c839e1eb89eb59cc24c3357c2
+  md5: ce98ed304e32a8075f7ff5e53c405046
+  depends:
+  - docutils
+  - lockfile >=0.10
+  - python >=3.0
+  - setuptools >=62.4.0
+  license: Apache-2.0
+  license_family: APACHE
+  size: 33618
+  timestamp: 1700732416187
 - kind: conda
   name: python-dateutil
   version: 2.9.0
diff --git a/pixi.toml b/pixi.toml
index 97510c4..a1a7d66 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -23,3 +23,5 @@ pandas = ">=2.2.1,<2.3"
 geopandas = ">=0.14.3,<0.15"
 plotly = ">=5.19.0,<5.20"
 seaborn = ">=0.13.2,<0.14"
+h5netcdf = ">=1.3.0,<1.4"
+luigi = ">=3.5.0,<3.6"