diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 00000000..997504b4
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,2 @@
+# SCM syntax highlighting & preventing 3-way merges
+pixi.lock merge=binary linguist-language=YAML linguist-generated=true -diff
diff --git a/.gitignore b/.gitignore
index 7fe6d62d..2df445aa 100755
--- a/.gitignore
+++ b/.gitignore
@@ -140,3 +140,6 @@ docs/source/_autosummary
 
 # notebooks
 examples
+# pixi environments
+.pixi/*
+!.pixi/config.toml
diff --git a/README.rst b/README.rst
index 22f4d8c0..77b3ae3a 100755
--- a/README.rst
+++ b/README.rst
@@ -61,31 +61,41 @@ can be found `here <https://github.com/NREL/nsrdb/tree/main/nsrdb/gap_fill>`_.
 
 Installation
 ============
+
+NOTE: The installation instructions below assume that you have python installed
+on your machine and are using either `conda <https://docs.conda.io/en/latest/index.html>`__
+or `pixi <https://pixi.sh/latest/>`_ as your package/environment manager.
+
 Option 1: Install from PIP (recommended for analysts):
 ------------------------------------------------------
-1. Create a new environment: ``conda create --name nsrdb python=3.9``
+
+1. Create a new environment: ``conda create --name nsrdb python=3.11``
+
 2. Activate environment: ``conda activate nsrdb``
+
 3. Install nsrdb: ``pip install NREL-nsrdb``
 
 Option 2: Clone repo (recommended for developers)
 -------------------------------------------------
-1. from home dir, ``git clone git@github.com:NREL/nsrdb.git``
-2. Create ``nsrdb`` environment and install package
-    1) Create a conda env: ``conda create -n nsrdb``
-    2) Run the command: ``conda activate nsrdb``
-    3) ``cd`` into the repo cloned in 1.
-    4) Prior to running ``pip`` below, make sure the branch is correct (install
-       from main!)
-    5) Install ``nsrdb`` and its dependencies by running:
-       ``pip install .`` (or ``pip install -e .`` if running a dev branch
-       or working on the source code)
-    6) *Optional*: Set up the pre-commit hooks with ``pip install pre-commit`` and ``pre-commit install``
+
+1. Run ``git clone git@github.com:NREL/nsrdb.git``
+2. ``cd nsrdb``.
+3. Make sure the branch is correct (install from main!)
+4. If you are using conda, create and activate a new environment:
+   ``conda create --name nsrdb python=3.11`` and ``conda activate nsrdb``
+
+   4.1 Install ``nsrdb`` and its dependencies by running: ``pip install .`` (or ``pip install -e .`` for editable install)
+
+5. Alternatively, run ``pixi install``
+6. *Optional*: Set up the pre-commit hooks with ``pip install pre-commit`` or ``pixi add pre-commit`` and ``pre-commit install``
 
 NSRDB Versions
 ==============
-.. list-table:: NSRDB Versions History
+
+.. list-table::
     :widths: auto
     :header-rows: 1
+
     * - Version
       - Effective Date
       - Data Years*
@@ -101,7 +111,7 @@ NSRDB Versions
       - Complete CLI refactor.
     * - 4.0.0
       - 5/1/23
-      - GOES: 1998-2024. Meteosat: 2005-2022.
+      - GOES 1998-2024, Meteosat 2005-2022.
       - Integrated an improved direct normal irradiance model (FARMS-DNI),
         described in the paper "Integration of a physics-based direct
         normal irradiance (DNI) model to enhance the National Solar
diff --git a/nsrdb/aggregation/aggregation.py b/nsrdb/aggregation/aggregation.py
index 2cb3432e..7f03d1ef 100755
--- a/nsrdb/aggregation/aggregation.py
+++ b/nsrdb/aggregation/aggregation.py
@@ -902,6 +902,8 @@ class Manager:
         'air_temperature': Aggregation.point,
         'wind_direction': Aggregation.point,
         'wind_speed': Aggregation.point,
+        'wind_direction_10m': Aggregation.point,
+        'wind_speed_10m': Aggregation.point,
         'cloud_type': Aggregation.cloud_type,
         'cld_opd_dcomp': Aggregation.cloud_property,
         'cld_reff_dcomp': Aggregation.cloud_property,
diff --git a/nsrdb/config/nsrdb_vars.csv b/nsrdb/config/nsrdb_vars.csv
index 95da3762..77436e6d 100755
--- a/nsrdb/config/nsrdb_vars.csv
+++ b/nsrdb/config/nsrdb_vars.csv
@@ -27,6 +27,8 @@ surface_pressure,hPa,uint16,1,300,1100,IDW2,TRUE,linear,tavg1_2d_slv_Nx,PS,MERRA
 total_precipitable_water,cm,uint8,10,0,15,IDW2,TRUE,linear,tavg1_2d_slv_Nx,TQV,MERRA2,/projects/pxs/ancillary/merra,,2000,1000
 wind_direction,degrees,uint16,1,0,360,NN,FALSE,linear,tavg1_2d_slv_Nx,,MERRA2,/projects/pxs/ancillary/merra,,2000,500
 wind_speed,m/s,uint16,10,0,40,IDW4,FALSE,linear,tavg1_2d_slv_Nx,,MERRA2,/projects/pxs/ancillary/merra,,2000,500
+wind_direction_10m,degrees,uint16,1,0,360,NN,FALSE,linear,tavg1_2d_slv_Nx,,MERRA2,/projects/pxs/ancillary/merra,,2000,500
+wind_speed_10m,m/s,uint16,10,0,40,IDW4,FALSE,linear,tavg1_2d_slv_Nx,,MERRA2,/projects/pxs/ancillary/merra,,2000,500
 cloud_fraction,unitless,float32,1,,,,,,,,UW-GOES,,,2000,250
 cloud_probability,unitless,float32,1,,,,,,,,UW-GOES,,,2000,250
 temp_3_75um_nom ,K,float32,1,,,,,,,,UW-GOES,,,2000,250
diff --git a/nsrdb/config/var_descriptions.csv b/nsrdb/config/var_descriptions.csv
index 634cccd9..bd6b432a 100755
--- a/nsrdb/config/var_descriptions.csv
+++ b/nsrdb/config/var_descriptions.csv
@@ -26,7 +26,9 @@ surface_albedo,"Surface albedo is the fraction of solar energy reflected by the
 surface_pressure,"Surface atmospheric pressure is the force per unit area exerted by the weight of the atmosphere above a specific location on the Earth's surface."
 total_precipitable_water,"Total precipitable water is the depth of liquid water that would result from precipitating all the water vapor in a vertical column above a given location, often measured in millimeters or centimeters."
 wind_direction,"Direction from which the wind is blowing, at 2 meters above the surface, measured in degrees clockwise from true north."
+wind_direction_10m,"Direction from which the wind is blowing, at 10 meters above the surface, measured in degrees clockwise from true north."
 wind_speed,"Wind speed at 2 meters above the surface."
+wind_speed_10m,"Wind speed at 10 meters above the surface."
 cloud_fraction,"Cloud fraction is the fraction of the sky covered by clouds, expressed as a percentage."
 cloud_probability,"Cloud probability is the likelihood of cloud presence at a specific location or time, often based on statistical or observational data."
 temp_3_75um_nom,"Brightness temperature at 3.75 micrometers wavelength, specific to the dataset."
diff --git a/nsrdb/data_model/data_model.py b/nsrdb/data_model/data_model.py
index 44ebfc66..02f9607c 100755
--- a/nsrdb/data_model/data_model.py
+++ b/nsrdb/data_model/data_model.py
@@ -28,6 +28,9 @@ class variables in Ancillary() below.
      'air_temperature',
      'specific_humidity',
      'wind_speed',
+     'wind_direction',
+     'wind_speed_10m',
+     'wind_direction_10m',
      'dew_point')
 """
 
@@ -104,6 +107,8 @@ class DataModel:
         'total_precipitable_water',
         'wind_speed',
         'wind_direction',
+        'wind_speed_10m',
+        'wind_direction_10m',
         'alpha',
         'aod',
         'ssa',
@@ -1772,8 +1777,7 @@ def dump(self, var, fpath_out, data, purge=False, mode='w'):
                     fout.time_index = self.nsrdb_ti
 
                 if 'meta' not in fout:
-                    meta_gids = self.nsrdb_grid[['gid']]
-                    fout.meta = meta_gids
+                    fout.meta = self.nsrdb_grid
 
                 var_kwargs = self._factory_kwargs.get(var, {})
                 var_obj = VarFactory.get_base_handler(
diff --git a/nsrdb/data_model/merra.py b/nsrdb/data_model/merra.py
index 9139493e..720108d7 100755
--- a/nsrdb/data_model/merra.py
+++ b/nsrdb/data_model/merra.py
@@ -173,6 +173,28 @@ def _format_2d(data):
 
         return flat_data
 
+    def _get_wind_data(self, file_handler):
+        """Get wind speed and direction data for the given height.
+
+        Parameters
+        ----------
+        file_handler : NSRDBfs
+            Opened MERRA source file handler.
+
+        Returns
+        -------
+        data : np.ndarray
+            3D numpy array (lat, lon, time) of wind speed or direction data.
+        """
+        height = '10M' if '_10m' in self.name else '2M'
+        u_vector = file_handler[f'U{height}'][:]
+        v_vector = file_handler[f'V{height}'][:]
+        if self.name.startswith('wind_speed'):
+            data = np.hypot(u_vector, v_vector)
+        else:
+            data = np.degrees(np.arctan2(u_vector, v_vector)) + 180
+        return data
+
     def _get_data(self, file):
         """Get single variable data from the given MERRA source file
 
@@ -193,13 +215,8 @@ def _get_data(self, file):
         # open NetCDF file
         with NSRDBfs(file) as f:
             # depending on variable, might need extra logic
-            if self.name in ['wind_speed', 'wind_direction']:
-                u_vector = f['U2M'][:]
-                v_vector = f['V2M'][:]
-                if self.name == 'wind_speed':
-                    data = np.sqrt(u_vector**2 + v_vector**2)
-                else:
-                    data = np.degrees(np.arctan2(u_vector, v_vector)) + 180
+            if 'wind_speed' in self.name or 'wind_direction' in self.name:
+                data = self._get_wind_data(f)
 
             elif self.dset_name == 'TOTSCATAU':
                 # Single scatter albedo is total scatter / aod
diff --git a/nsrdb/data_model/variable_factory.py b/nsrdb/data_model/variable_factory.py
index 9c88f46e..e7c32204 100755
--- a/nsrdb/data_model/variable_factory.py
+++ b/nsrdb/data_model/variable_factory.py
@@ -52,6 +52,8 @@ class VarFactory:
         'total_precipitable_water': MerraVar,
         'wind_speed': MerraVar,
         'wind_direction': MerraVar,
+        'wind_speed_10m': MerraVar,
+        'wind_direction_10m': MerraVar,
     }
 
     HANDLER_NAMES: ClassVar = {
diff --git a/nsrdb/gap_fill/mlclouds_fill.py b/nsrdb/gap_fill/mlclouds_fill.py
index 2d62c324..b3ac88be 100755
--- a/nsrdb/gap_fill/mlclouds_fill.py
+++ b/nsrdb/gap_fill/mlclouds_fill.py
@@ -5,6 +5,7 @@
 import shutil
 import time
 from concurrent.futures import as_completed
+from typing import ClassVar
 from warnings import warn
 
 import numpy as np
@@ -29,7 +30,7 @@ class MLCloudsFill:
     Use the MLClouds algorithm with phygnn model to fill missing cloud data
     """
 
-    DEFAULT_MODEL = {
+    DEFAULT_MODEL: ClassVar[dict] = {
         'cloud_type_model_path': None,
         'cloud_prop_model_path': LEG_MODEL_FPATH,
     }
@@ -471,9 +472,9 @@ def clean_feature_data(
             )
         )
         logger.debug(
-            'Cleaned feature data dict values have these shapes: {}'.format(
-                [d.shape for d in feature_data.values()]
-            )
+            'Cleaned feature data dict values have these shapes: {}'.format([
+                d.shape for d in feature_data.values()
+            ])
         )
         logger.debug(
             'Feature flag column has these values: {}'.format(
diff --git a/nsrdb/nsrdb.py b/nsrdb/nsrdb.py
index ac37ea0f..1a89420b 100755
--- a/nsrdb/nsrdb.py
+++ b/nsrdb/nsrdb.py
@@ -73,7 +73,13 @@ class NSRDB:
             'surface_pressure',
         ),
         'nsrdb_irradiance_{y}.h5': ('dhi', 'dni', 'ghi', 'fill_flag'),
-        'nsrdb_pv_{y}.h5': ('air_temperature', 'wind_direction', 'wind_speed'),
+        'nsrdb_pv_{y}.h5': (
+            'air_temperature',
+            'wind_direction',
+            'wind_speed',
+            'wind_direction_10m',
+            'wind_speed_10m',
+        ),
     }
 
     def __init__(
diff --git a/nsrdb/preprocessing/download_merra.py b/nsrdb/preprocessing/download_merra.py
index aba446b0..bef1c8dd 100755
--- a/nsrdb/preprocessing/download_merra.py
+++ b/nsrdb/preprocessing/download_merra.py
@@ -30,7 +30,17 @@ def get_var_list(source):
         ]
 
     elif source.lower() == 'slv':
-        VARIABLES = ['PS', 'QV2M', 'T2M', 'TO3', 'TQV', 'U2M', 'V2M']
+        VARIABLES = [
+            'PS',
+            'QV2M',
+            'T2M',
+            'TO3',
+            'TQV',
+            'U2M',
+            'V2M',
+            'U10M',
+            'V10M',
+        ]
 
     elif source.lower() == 'aer':
         VARIABLES = ['TOTANGSTR', 'TOTEXTTAU', 'TOTSCATAU']
diff --git a/pixi.lock b/pixi.lock
new file mode 100644
index 00000000..b53dee9b
--- /dev/null
+++ b/pixi.lock
@@ -0,0 +1,5977 @@
+version: 6
+environments:
+  build:
+    channels:
+    - url: https://conda.anaconda.org/conda-forge/
+    - url: https://conda.anaconda.org/anaconda/
+    - url: https://conda.anaconda.org/main/
+    indexes:
+    - https://pypi.org/simple
+    options:
+      pypi-prerelease-mode: if-necessary-or-explicit
+    packages:
+      linux-64:
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/alabaster-1.0.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.14-hb9d3cd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/backports-1.0-pyhd8ed1ab_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/backports.tarfile-1.2.0-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/backports.zstd-1.2.0-py311h6b1f9c4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.2.0-hed03a55_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.2.0-hb03c661_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py311h66f275b_1.conda
+      - conda: https://conda.anaconda.org/anaconda/linux-64/build-0.10.0-py311h06a4308_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_8.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.6-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.11.12-hbd8a1cb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.4-h3394656_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2025.11.12-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-2.0.0-py311h03d9500_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.4-py311h0372a8f_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.3.1-pyh8f84b5b_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cmarkgfm-2024.11.20-py311h49ec1c0_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.2-py311hd18a35c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cpython-3.11.14-py311hd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cryptography-46.0.3-py311h2005dd1_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhcf101f3_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cyrus-sasl-2.1.28-hd9c7081_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.16.2-h24cb091_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/double-conversion-3.3.1-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.15.0-h7e30c49_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-hc364b38_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.61.0-py311h3778330_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.14.1-ha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.14-hecca717_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.3.0-pyhcf101f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-12.2.0-h15599e2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.3-nompi_h2d575fe_109.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/id-1.5.0-pyh29332c3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.11-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/imagesize-1.4.1-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.7.0-pyhe01879c_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.5.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jaraco.classes-3.4.0-pyhd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jaraco.context-6.0.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jaraco.functools-4.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jeepney-0.9.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.6-pyhcf101f3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/joblib-1.5.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/keyring-25.7.0-pyha804496_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.3-hb9d3cd8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.9-py311h724c32c_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.3-h659f571_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.17-h717163a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.45-default_hbd61a6d_104.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h0aef613_1.conda
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diff --git a/pyproject.toml b/pyproject.toml
index a9845fee..05b746f5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -26,8 +26,6 @@ classifiers=[
   "Programming Language :: Python :: 3.11",
 ]
 dependencies = [
-  "sphinx-tabs>=3.4.5,<3.4.6",
-  "sphinx>=8.0.2,<8.1.0",
   "NREL-gaps>=0.6.14,<0.8.0",
   "NREL-cloud_fs>=0.0.8",
   "NREL-farms>=1.0.6",
@@ -40,12 +38,16 @@ dependencies = [
 
 [project.optional-dependencies]
 dev = [
-  "build>=0.5",
   "pre-commit",
   "ruff>=0.5.0",
 ]
+build = [
+  "build>=0.5",
+  "twine>=5.0",
+  "uv>=0.3.0",
+]
 doc = [
-  "sphinx>=8.0.2",
+  "sphinx>=8.0.2,<8.1.0",
   "sphinx_rtd_theme>=3.0.2",
   "sphinx-click>=5.2.1",
 ]
@@ -176,3 +178,57 @@ packages = ["nsrdb"]
 
 [tool.setuptools_scm]
 version_file = "nsrdb/_version.py"
+
+[tool.pixi.workspace]
+channels = ["conda-forge", "anaconda", "main"]
+platforms = ["linux-64"]
+
+[tool.pixi.environments]
+default = { solve-group = "default" }
+dev = { features = ["dev", "test", "build"], solve-group = "default" }
+doc = { features = ["doc"], solve-group = "default" }
+test = { features = ["test"], solve-group = "default" }
+build = { features = ["build"], solve-group = "default" }
+
+[tool.pixi.tasks]
+
+[tool.pixi.dependencies]
+python = ">=3.9,<3.12"
+netCDF4 = ">=1.5.8,<1.7"
+scikit-learn = ">=1.0"
+matplotlib = ">=3.1"
+numpy = ">=1.22,<1.24"
+
+[tool.pixi.pypi-dependencies]
+NREL-nsrdb = { path = ".", editable = true }
+NREL-gaps = ">=0.6.14,<0.8.0"
+NREL-cloud_fs = ">=0.0.8"
+NREL-farms = ">=1.0.6"
+NREL-rest2 = ">=1.0.2"
+NREL-mlclouds = ">=0.0.5"
+
+[tool.pixi.feature.build.tasks]
+build-wheels = { cmd = "uv build --sdist --wheel --out-dir dist/ ." }
+check-wheels = { cmd = ["twine", "check", "dist/*"], depends-on = ["build-wheels"] }
+upload-wheels = { cmd = ["twine", "upload", "dist/*"], depends-on = ["check-wheels"] }
+
+[tool.pixi.feature.doc.dependencies]
+sphinx = ">=8.0.2,<8.1.0"
+sphinx_rtd_theme = ">=3.0.2"
+sphinx-click = ">=5.2.1"
+
+[tool.pixi.feature.test.dependencies]
+pytest-env = ">=1.1.3"
+pytest = ">=5.2"
+pytest-cov = ">=5.0.0"
+
+[tool.pixi.feature.dev.dependencies]
+ruff = ">=0.5.0"
+pre-commit = ">=2.20"
+ipython = ">=9.8.0,<10"
+bs4 = ">=4.14.3,<5"
+
+[tool.pixi.feature.build.dependencies]
+build = ">=0.6"
+twine = ">=5.0"
+uv = ">=0.3.0"
diff --git a/tests/cli/test_agg_cli.py b/tests/cli/test_agg_cli.py
index a22ac36f..82482b5e 100755
--- a/tests/cli/test_agg_cli.py
+++ b/tests/cli/test_agg_cli.py
@@ -34,6 +34,8 @@
     'relative_humidity',
     'wind_direction',
     'wind_speed',
+    'wind_direction_10m',
+    'wind_speed_10m',
     'cld_reff_dcomp',
 ]
 
diff --git a/tests/data/merra2_source_files/tavg1_2d_slv_Nx/MERRA2_400.tavg1_2d_slv_Nx.20130101.SUB.nc4 b/tests/data/merra2_source_files/tavg1_2d_slv_Nx/MERRA2_400.tavg1_2d_slv_Nx.20130101.SUB.nc4
old mode 100755
new mode 100644
index e014551a..635636cb
Binary files a/tests/data/merra2_source_files/tavg1_2d_slv_Nx/MERRA2_400.tavg1_2d_slv_Nx.20130101.SUB.nc4 and b/tests/data/merra2_source_files/tavg1_2d_slv_Nx/MERRA2_400.tavg1_2d_slv_Nx.20130101.SUB.nc4 differ
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diff --git a/tests/data/mlclouds_pipeline/daily_files_archive/20190102_wind_direction_10m_0.h5 b/tests/data/mlclouds_pipeline/daily_files_archive/20190102_wind_direction_10m_0.h5
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diff --git a/tests/data/mlclouds_pipeline/daily_files_archive/20190104_wind_direction_10m_0.h5 b/tests/data/mlclouds_pipeline/daily_files_archive/20190104_wind_direction_10m_0.h5
new file mode 100644
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diff --git a/tests/data/mlclouds_pipeline/daily_files_archive/20190104_wind_speed_10m_0.h5 b/tests/data/mlclouds_pipeline/daily_files_archive/20190104_wind_speed_10m_0.h5
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diff --git a/tests/data/nsrdb_vars.csv b/tests/data/nsrdb_vars.csv
index 34606a57..939c97b8 100755
--- a/tests/data/nsrdb_vars.csv
+++ b/tests/data/nsrdb_vars.csv
@@ -27,6 +27,8 @@ surface_pressure,hPa,uint16,1,300,1100,IDW2,TRUE,linear,tavg1_2d_slv_Nx,PS,MERRA
 total_precipitable_water,cm,uint8,10,0,15,IDW2,TRUE,linear,tavg1_2d_slv_Nx,TQV,MERRA2,./tests/data/merra2_source_files,,2000,1000
 wind_direction,degrees,uint16,1,0,360,NN,FALSE,linear,tavg1_2d_slv_Nx,,MERRA2,./tests/data/merra2_source_files,,2000,500
 wind_speed,m/s,uint16,10,0,40,IDW4,FALSE,linear,tavg1_2d_slv_Nx,,MERRA2,./tests/data/merra2_source_files,,2000,500
+wind_direction_10m,degrees,uint16,1,0,360,NN,FALSE,linear,tavg1_2d_slv_Nx,,MERRA2,./tests/data/merra2_source_files,,2000,500
+wind_speed_10m,m/s,uint16,10,0,40,IDW4,FALSE,linear,tavg1_2d_slv_Nx,,MERRA2,./tests/data/merra2_source_files,,2000,500
 cloud_fraction,unitless,float32,1,,,,,,,,UW-GOES,,,2000,250
 cloud_probability,unitless,float32,1,,,,,,,,UW-GOES,,,2000,250
 temp_3_75um_nom ,K,float32,1,,,,,,,,UW-GOES,,,2000,250
diff --git a/tests/data/processed_ancillary/wind_direction.h5 b/tests/data/processed_ancillary/wind_direction.h5
new file mode 100644
index 00000000..cea4a3b4
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diff --git a/tests/data/processed_ancillary/wind_direction_10m.h5 b/tests/data/processed_ancillary/wind_direction_10m.h5
new file mode 100644
index 00000000..d71615c7
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diff --git a/tests/data/processed_ancillary/wind_speed_10m.h5 b/tests/data/processed_ancillary/wind_speed_10m.h5
new file mode 100644
index 00000000..be138d8d
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diff --git a/tests/data_model/test_data_model.py b/tests/data_model/test_data_model.py
index e357eaa0..5af65519 100755
--- a/tests/data_model/test_data_model.py
+++ b/tests/data_model/test_data_model.py
@@ -84,6 +84,9 @@ def test_asym(var='asymmetry'):
         'ozone',
         'total_precipitable_water',
         'wind_speed',
+        'wind_speed_10m',
+        'wind_direction',
+        'wind_direction_10m',
         'specific_humidity',
         'alpha',
         'aod',
diff --git a/tests/gap_fill/test_mlclouds_collect.py b/tests/gap_fill/test_mlclouds_collect.py
index 8ea6ec8b..18b8140e 100755
--- a/tests/gap_fill/test_mlclouds_collect.py
+++ b/tests/gap_fill/test_mlclouds_collect.py
@@ -40,9 +40,9 @@ def test_collect(dates=('20190102', '20190103', '20190104'), slim_meta=True):
             for fn in os.listdir(daily_dir):
                 fp = os.path.join(daily_dir, fn)
                 with Outputs(fp, mode='a') as res:
-                    meta_gids = res.meta[['gid']]
+                    meta = res.meta[['gid', 'latitude', 'longitude']]
                     del res.h5['meta']
-                    res.meta = meta_gids
+                    res.meta = meta
 
         year = int(dates[0][0:4])
 
@@ -77,15 +77,21 @@ def test_collect(dates=('20190102', '20190103', '20190104'), slim_meta=True):
         fp_final = os.path.join(final_dir, 'mlclouds_test_*.h5')
         with MultiFileNSRDB(fp_final) as res:
             dsets = res.dsets
+            dsets = [
+                d
+                for d in dsets
+                if d not in ('time_index', 'meta', 'coordinates')
+            ]
             meta = res.meta
             ti = res.time_index
-            assert len(dsets) == 28
+            assert len(dsets) == sum(len(v) for v in NSRDB.OUTS.values())
             assert len(meta) == 9
             assert len(ti) == (288 * 3)
-            dsets = [d for d in dsets if d not in ('time_index', 'meta')]
             for dset in dsets:
                 data = res[dset]
-                assert (data != 0).sum() > 0
+                assert (data != 0).sum() > 0, (
+                    'Dataset {} is all zeros!'.format(dset)
+                )
                 all_data[dset] = data
                 all_attrs[dset] = res.get_attrs(dset)
 
diff --git a/tests/output/test_file_handler_collection.py b/tests/output/test_file_handler_collection.py
index 256e9c59..5612ca26 100755
--- a/tests/output/test_file_handler_collection.py
+++ b/tests/output/test_file_handler_collection.py
@@ -139,9 +139,9 @@ def test_collect_lowmem():
 
             # reduced precision for changed dtypes (aod in Jan 2022)
             msg = 'Dset failed: {}'.format(dset)
-            assert np.allclose(
-                data, data_collected, rtol=0.001, atol=0.001
-            ), msg
+            assert np.allclose(data, data_collected, rtol=0.001, atol=0.001), (
+                msg
+            )
 
 
 def test_final_daily():
@@ -217,7 +217,11 @@ def test_final_daily():
                 assert all(d in ti_doys for d in doys)
                 assert all(d in doys for d in ti_doys)
 
-                dsets = [d for d in f.dsets if d not in ('time_index', 'meta')]
+                dsets = [
+                    d
+                    for d in f.dsets
+                    if d not in ('time_index', 'meta', 'coordinates')
+                ]
                 for dset, doy in itertools.product(dsets, doys):
                     disk_data = f[dset]
                     dset_test_data = test_data[dset][doy]