diff --git a/.github/workflows/run_tests.yml b/.github/workflows/run_tests.yml
index 608d571..8e5347b 100644
--- a/.github/workflows/run_tests.yml
+++ b/.github/workflows/run_tests.yml
@@ -38,6 +38,14 @@ jobs:
         with:
           path: ${{ env.pythonLocation }}
           key: test-${{ runner.os }}-${{ env.pythonLocation }}-${{ hashFiles('pyproject.toml', 'requirements/*') }}
+      - uses: actions/cache@main
+        id: cache-netcdfs
+        with:
+          path: |
+            notebooks/schout_adcirc_20230828.nc
+            notebooks/schout_adcirc_20230829.nc
+            notebooks/schout_adcirc_20230830.nc
+          key: test-stofs-3d-atl-netcdf-files
       - run: python --version
       - run: python -m pip install --upgrade pip
       - run: python -m pip --version
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 6894f3a..61b3dee 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -35,7 +35,7 @@ repos:
       - id: "python-use-type-annotations"
 
   - repo: "https://github.com/asottile/reorder_python_imports"
-    rev: "v3.11.0"
+    rev: "v3.12.0"
     hooks:
       - id: "reorder-python-imports"
         args:
@@ -48,7 +48,7 @@ repos:
 
   - repo: "https://github.com/charliermarsh/ruff-pre-commit"
     # Ruff version.
-    rev: 'v0.0.291'
+    rev: 'v0.0.292'
     hooks:
       - id: "ruff"
 
diff --git a/Makefile b/Makefile
index bcb08a8..c1b44fb 100644
--- a/Makefile
+++ b/Makefile
@@ -27,8 +27,15 @@ clean_notebooks:
 	pre-commit run nbstripout
 
 exec_notebooks:
-	python -m nbconvert --to notebook --execute --stdout notebooks/* >/dev/null
+	set -e; \
+	for file in $$(git -C notebooks ls-files); do \
+		echo $$file; \
+		timeout 600 papermill --start-timeout 1 --cwd notebooks notebooks/$$file --progress-bar /dev/null; \
+	done
 
 deps:
 	pre-commit run poetry-lock -a
 	pre-commit run poetry-export -a
+
+docs:
+	mkdocs serve
diff --git a/docs/api.md b/docs/api.md
index 9a06eab..834f036 100644
--- a/docs/api.md
+++ b/docs/api.md
@@ -1,6 +1,8 @@
 # Reference
 
-::: thalassa.api
+::: thalassa
+
+<!-- ::: thalassa.api -->
 
 <!-- ::: thalassa.utils -->
 <!---->
diff --git a/mkdocs.yml b/mkdocs.yml
index 89e002b..58bd5d8 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -43,26 +43,110 @@ watch:
 
 plugins:
   - "search"
+  - "autorefs"
   - "mkdocstrings":
       default_handler: python
       handlers:
         python:
           options:
-            # General
-            allow_inspection: true
-            show_source: false
-            # Headings
-            show_root_toc_entry: true
-            show_root_full_path: true
-            show_object_full_path: true
-            show_root_members_full_path: true
-            # members
-            members_order: "source"
+            ### General
+            # Whether to allow inspecting modules when visiting them is not possible. Default: True.
+            allow_inspection: True
+            # Show the base classes of a class. Default: True.
+            show_bases: True
+            # Show the source code of this object. Default: True.
+            show_source: True
+            # Pre-load modules that are not specified directly in autodoc instructions (::: identifier). It is useful when you want to render documentation for a particular member of an object, and this member is imported from another package than its parent.
+            # For an imported member to be rendered, you need to add it to the __all__ attribute of the importing module.
+            # The modules must be listed as an array of strings. Default: None.
+            preload_modules: null
 
-            annotations_path: "brief"
-            show_signature: true
-            show_signature_annotations: true
-            separate_signature: true
+            ### Headings
+            # The initial heading level to use. Default: 2.
+            heading_level: 2
+            # Show the heading of the object at the root of the documentation tree (i.e. the object referenced by the identifier after :::). Default: False.
+            show_root_heading: True
+            # If the root heading is not shown, at least add a ToC entry for it. Default: True.
+            show_root_toc_entry: True
+            # Show the full Python path for the root object heading. Default: True.
+            show_root_full_path: True
+            # Show the full Python path of the root members. Default: False.
+            show_root_members_full_path: False
+            # Show the full Python path of every object. Default: False.
+            show_object_full_path: False
+            # When grouped by categories, show a heading for each category. Default: False.
+            show_category_heading: False
+            # Show the symbol type in headings (e.g. mod, class, meth, func and attr). Default: False.
+            show_symbol_type_heading: False
+            # Show the symbol type in the Table of Contents (e.g. mod, class, methd, func and attr). Default: False
+            show_symbol_type_toc: False
+
+            ### Members
+            # A boolean, or an explicit list of inherited members to render. If true, select all inherited members, which can then be filtered with members. If false or empty list, do not select any inherited member. Default: False.
+            inherited_members: False
+            # A boolean, or an explicit list of members to render. If true, select all members without further filtering. If false or empty list, do not render members. If none, select all members and apply further filtering with filters and docstrings. Default: None.
+            members: null
+            # The members ordering to use. Options: alphabetical - order by the members names, source - order members as they appear in the source file. Default: "alphabetical".
+            members_order: "alphabetical"
+            # A list of filters applied to filter objects based on their name. A filter starting with ! will exclude matching objects instead of including them. The members option takes precedence over filters (filters will still be applied recursively to lower members in the hierarchy). Default: ["!^_[^_]"].
+            filters: ["!^_[^_]"]
+            # Group the object's children by categories: attributes, classes, functions, and modules. Default: True.
+            group_by_category: True
+            # When rendering a module, show its submodules recursively. Default: False.
+            show_submodules: False
+            # Whether to render summaries of modules, classes, functions (methods) and attributes.
+            summary: True
+
+            ### Docstrings
+            # The docstring style to use: google, numpy, sphinx, or None. Default: "google".
+            docstring_style: "google"
+            # The options for the docstring parser. See parsers under griffe.docstrings.
+            # docstring_options:
+            # The style used to render docstring sections. Options: table, list, spacy. Default: "table".
+            docstring_section_style: "spacy"
+            # Whether to merge the __init__ method into the class' signature and docstring. Default: False.
+            merge_init_into_class: False
+            # Show the object heading even if it has no docstring or children with docstrings. Default: False.
+            show_if_no_docstring: False
+            # Whether to display the "Attributes" section in the object's docstring. Default: True.
+            show_docstring_attributes: True
+            # Whether to display the "Functions" or "Methods" sections in the object's docstring. Default: True.
+            show_docstring_functions: True
+            # Whether to display the "Classes" section in the object's docstring. Default: True.
+            show_docstring_classes: True
+            # Whether to display the "Modules" section in the object's docstring. Default: True.
+            show_docstring_modules: True
+            # Whether to display the textual block (including admonitions) in the object's docstring. Default: True.
+            show_docstring_description: True
+            # Whether to display the "Examples" section in the object's docstring. Default: True.
+            show_docstring_examples: True
+            # Whether to display the "Other Parameters" section in the object's docstring. Default: True.
+            show_docstring_other_parameters: True
+            # Whether to display the "Parameters" section in the object's docstring. Default: True.
+            show_docstring_parameters: True
+            # Whether to display the "Raises" section in the object's docstring. Default: True.
+            show_docstring_raises: True
+            # Whether to display the "Receives" section in the object's docstring. Default: True.
+            show_docstring_receives: True
+            # Whether to display the "Returns" section in the object's docstring. Default: True.
+            show_docstring_returns: True
+            # Whether to display the "Warns" section in the object's docstring. Default: True.
+            show_docstring_warns: True
+            # Whether to display the "Yields" section in the object's docstring. Default: True.
+            show_docstring_yields: True
+
+            ### Signature/annotations
+            # The verbosity for annotations path: brief (recommended), or source (as written in the source). Default: "brief".
+            annotations_path: "full"
+            # Maximum line length when formatting code/signatures. Default: 60.
             line_length: 88
-            signature_crossrefs: true
-            show_root_heading: true
+            # Show methods and functions signatures. Default: True.
+            show_signature: True
+            # Show the type annotations in methods and functions signatures. Default: False.
+            show_signature_annotations: True
+            # Whether to render cross-references for type annotations in signatures. Default: False.
+            signature_crossrefs: True
+            # Whether to put the whole signature in a code block below the heading. If Black is installed, the signature is also formatted using it. Default: False.
+            separate_signature: True
+            # Whether to unwrap Annotated types to show only the type without the annotations. Default: False.
+            unwrap_annotated: True
diff --git a/notebooks/API.ipynb b/notebooks/API.ipynb
index b9516b5..22005d4 100644
--- a/notebooks/API.ipynb
+++ b/notebooks/API.ipynb
@@ -138,7 +138,7 @@
     "\n",
     "# The trimesh is the most basic object. This is what you need to create all the others graphs\n",
     "# It is on this object that you specify the timestamp and/or the layer.\n",
-    "trimesh = api.create_trimesh(ds=ds.sel(time=timestamp), variable=variable)\n",
+    "trimesh = api.create_trimesh(ds.sel(time=timestamp), variable=variable)\n",
     "\n",
     "# The wireframe is the representation of the mesh\n",
     "wireframe = api.get_wireframe(trimesh)\n",
diff --git a/notebooks/BBox_filtering.ipynb b/notebooks/BBox_filtering.ipynb
deleted file mode 100644
index 065e9b9..0000000
--- a/notebooks/BBox_filtering.ipynb
+++ /dev/null
@@ -1,309 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "871b1568-5742-46dd-9072-8e3785f8475c",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "%load_ext autoreload\n",
-    "%autoreload 2\n",
-    "\n",
-    "from __future__ import annotations"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "98ba7fda-b961-450c-b885-75176c8609dc",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# debug\n",
-    "import sys\n",
-    "\n",
-    "print(sys.executable)\n",
-    "print(sys.version_info)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "09b3a22a-1c7d-457b-973c-7ea35d65e22a",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "## Subsetting an unstructured mesh using a BBox \n",
-    "\n",
-    "In unstructured meshes the `longitude` and `latitude` are data variables instead of dimensions.\n",
-    "This means that filtering/subsetting a mesh using a Bounding Box (BBox) is somewhat more challenging.\n",
-    "Nevertheless it is still possible to do it using `numpy` and `xarray`.\n",
-    "\n",
-    "This notebook describes how to achieve this.\n",
-    "\n",
-    "For convenience, we are going to use an ADCIRC netcdf file which has been converted to the \"Thalassa schema\".\n",
-    "\n",
-    "We will also need an additional library which the following cell will take care of importing."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5090d13b-e185-4155-8801-692ff511a829",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "try:\n",
-    "    import numpy_indexed\n",
-    "except ImportError:\n",
-    "    %pip install numpy_indexed"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "95c5af35-560d-4222-8e8d-6f680a9d24b3",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import holoviews as hv\n",
-    "import numpy as np\n",
-    "import numpy_indexed as npi\n",
-    "import pandas as pd\n",
-    "import xarray as xr\n",
-    "\n",
-    "from thalassa import api\n",
-    "\n",
-    "hv.extension(\"bokeh\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "567728b6-300e-4f86-b80f-56f70d49dfe3",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### Sample file\n",
-    "\n",
-    "As an example let's download a netcdf file containing the output of an ADCIRC model."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "39d407a6-b810-4571-ac5b-6145c81df5cc",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "Let's load the file and convert it to the thalassa schema."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2802b2dc-a45f-4da2-9e62-62eaafab63d9",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "from thalassa import api\n",
-    "\n",
-    "filename = \"../tests/data/fort.63.nc\"\n",
-    "ds = api.open_dataset(filename)\n",
-    "ds = ds.assign(zeta_max=ds.zeta.max(\"time\"))\n",
-    "ds"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "195cb344-61c0-429b-b648-d739180a819e",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "As we can see the model has 3070 `nodes` and 5780 `trifaces` (i.e. triangles)\n",
-    "\n",
-    "Note: The reason why the thalassa schema defines `triface` is because `face` might be referring to quad elements, too (in Schism models; ADCIRC does not support them). `triface` always refers to triangles."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b9b19fd4-0c43-4cc1-9019-7abee26d591e",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### Filtering \n",
-    "\n",
-    "Now let's define the function that does the filtering by BBox"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0ff5f2aa-cc49-486f-a407-4d90e962bc33",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "def filter_thalassa_by_bbox(\n",
-    "    ds: xr.Dataset,\n",
-    "    lon_min: float = -180,\n",
-    "    lon_max: float = 180,\n",
-    "    lat_min: float = -90,\n",
-    "    lat_max: float = 90,\n",
-    ") -> xr.Dataset:\n",
-    "    indices_of_nodes_in_bbox = np.where(\n",
-    "        True \n",
-    "        & (ds.lat >= lat_min)\n",
-    "        & (ds.lat <= lat_max) \n",
-    "        & (ds.lon >= lon_min) \n",
-    "        & (ds.lon <= lon_max)\n",
-    "    )[0]\n",
-    "    indices_of_triface_nodes_in_bbox = np.where(\n",
-    "        ds.triface_nodes.isin(indices_of_nodes_in_bbox).all(axis=1)\n",
-    "    )[0]\n",
-    "    ds = ds.isel(node=indices_of_nodes_in_bbox, triface=indices_of_triface_nodes_in_bbox)\n",
-    "    remapped_nodes = np.arange(len(indices_of_nodes_in_bbox))\n",
-    "    remapped_triface_nodes = np.c_[\n",
-    "        npi.remap(ds.triface_nodes[:,0], indices_of_nodes_in_bbox, remapped_nodes),\n",
-    "        npi.remap(ds.triface_nodes[:,1], indices_of_nodes_in_bbox, remapped_nodes),\n",
-    "        npi.remap(ds.triface_nodes[:,2], indices_of_nodes_in_bbox, remapped_nodes),\n",
-    "    ]\n",
-    "    ds[\"triface_nodes\"] = ((\"triface\", \"three\"), remapped_triface_nodes)\n",
-    "    return ds"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "77ee052d-6b60-4f68-a2c0-66d1341584f6",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "Let's see it in action!\n",
-    "\n",
-    "The original Dataset depicts the Hampton port/Bay. \n",
-    "The BBox we used centers in the inner harbor area. \n",
-    "\n",
-    "`fds` is the filtered Dataset and as we can see it only contains 798 nodes and 1325 trifaces"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "926aa112-f444-4718-a5af-87605b3ee0ae",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "fds = filter_thalassa_by_bbox(\n",
-    "    ds=ds,\n",
-    "    lon_min=-72.6,\n",
-    "    lon_max=-72.4,\n",
-    "    lat_min=40.8,\n",
-    "    lat_max=41.0,\n",
-    ")\n",
-    "\n",
-    "ds.dims\n",
-    "fds.dims"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c234f1c5-0ad2-41e9-87ab-5cfe0e482ebf",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### Visual diff\n",
-    "Let's use `thalassa` to visualize the difference:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4f810fb2-140f-44b2-999d-16deab9c07ca",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# The full dataset\n",
-    "trimesh = api.create_trimesh(\n",
-    "    ds,\n",
-    "    variable=\"zeta_max\",\n",
-    ")\n",
-    "dmap = api.get_tiles() * api.get_raster(trimesh=trimesh) #* api.get_wireframe(trimesh=trimesh)\n",
-    "dmap.opts(width=600, title=\"Full dataset\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "850bf0f0-24b3-4158-abd1-5bfe2283a40b",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# The filtered dataset\n",
-    "ftrimesh = api.create_trimesh(\n",
-    "    ds=fds,\n",
-    "    variable=\"zeta_max\",\n",
-    ")\n",
-    "fdmap = api.get_tiles() * api.get_raster(trimesh=ftrimesh) * api.get_wireframe(trimesh=ftrimesh)\n",
-    "fdmap.opts(width=600, title=\"Filtered Dataset\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "afa61cf4-1bf1-466e-b89c-1020f927d38f",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "### Further development\n",
-    "\n",
-    "It should not be too difficult to extend/modify the function so that: \n",
-    "\n",
-    "1. it supports different Dataset schemas (e.g. vanilla ADCIRC, vanilla SCHISM) but this is left as an exercise to the reader.\n",
-    "2. it filters using a vector object (e.g. a shapefile) instead of a simple BBox."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "thalassa",
-   "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": "3.10.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/notebooks/Public API.ipynb b/notebooks/Public_API.ipynb
similarity index 90%
rename from notebooks/Public API.ipynb
rename to notebooks/Public_API.ipynb
index af98906..66f33ff 100644
--- a/notebooks/Public API.ipynb	
+++ b/notebooks/Public_API.ipynb
@@ -419,47 +419,6 @@
     "    bbox=bbox\n",
     ")"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "28f5ee84-fdc7-43cf-b54b-bd27ced49ce3",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "## Global models\n",
-    "\n",
-    "Global models are supported but you must post-process their output in order to handle elements that cross the International Date Line\n",
-    "\n",
-    "One way of doing this is to use pyPoseidon: https://pyposeidon.readthedocs.io/en/latest/utils.html#seam\n",
-    "\n",
-    "For further discussion please chere here: https://github.com/ec-jrc/Thalassa/issues/58"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f91dd93d-cf19-4467-b916-226d9e12c894",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "ds = thalassa.open_dataset(\"/tmp/ds2d.zarr\")\n",
-    "ds"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "676db643-3645-48d6-9d27-087b1afd4498",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "thalassa.plot(ds, \"max_elev\", clim_min=-50, clim_max=100)"
-   ]
   }
  ],
  "metadata": {
diff --git a/poetry.lock b/poetry.lock
index 9229b1b..c63ae70 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,5 +1,19 @@
 # This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
 
+[[package]]
+name = "ansiwrap"
+version = "0.8.4"
+description = "textwrap, but savvy to ANSI colors and styles"
+optional = false
+python-versions = "*"
+files = [
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@@ -58,15 +72,18 @@ tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pyte
 
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 version = "0.2.0"
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 ]
 
 [package.dependencies]
@@ -402,86 +407,101 @@ numpy = ">1.13.3"
 
 [[package]]
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 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
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 ]
 
 [package.dependencies]
@@ -811,24 +831,28 @@ toml = ["tomli"]
 
 [[package]]
 name = "cycler"
-version = "0.11.0"
+version = "0.12.0"
 description = "Composable style cycles"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 ]
 
+[package.extras]
+docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
+tests = ["pytest", "pytest-cov", "pytest-xdist"]
+
 [[package]]
 name = "dask"
-version = "2023.9.2"
+version = "2023.9.3"
 description = "Parallel PyData with Task Scheduling"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -846,7 +870,7 @@ array = ["numpy (>=1.21)"]
 complete = ["dask[array,dataframe,diagnostics,distributed]", "lz4 (>=4.3.2)", "pyarrow (>=7.0)"]
 dataframe = ["dask[array]", "pandas (>=1.3)"]
 diagnostics = ["bokeh (>=2.4.2)", "jinja2 (>=2.10.3)"]
-distributed = ["distributed (==2023.9.2)"]
+distributed = ["distributed (==2023.9.3)"]
 test = ["pandas[test]", "pre-commit", "pytest", "pytest-cov", "pytest-rerunfailures", "pytest-timeout", "pytest-xdist"]
 
 [[package]]
@@ -936,17 +960,6 @@ files = [
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 ]
 
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-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
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-
 [[package]]
 name = "docopt"
 version = "0.6.2"
@@ -984,17 +997,17 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "executing"
-version = "1.2.0"
+version = "2.0.0"
 description = "Get the currently executing AST node of a frame, and other information"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.extras]
-tests = ["asttokens", "littleutils", "pytest", "rich"]
+tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
 
 [[package]]
 name = "fasteners"
@@ -1009,13 +1022,13 @@ files = [
 
 [[package]]
 name = "fastjsonschema"
-version = "2.18.0"
+version = "2.18.1"
 description = "Fastest Python implementation of JSON schema"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.extras]
@@ -1088,45 +1101,53 @@ test = ["netCDF4"]
 
 [[package]]
 name = "fonttools"
-version = "4.42.1"
+version = "4.43.0"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1256,13 +1277,13 @@ dev = ["flake8", "markdown", "twine", "wheel"]
 
 [[package]]
 name = "griffe"
-version = "0.36.2"
+version = "0.36.4"
 description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1452,13 +1473,13 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio"
 
 [[package]]
 name = "ipython"
-version = "8.15.0"
+version = "8.16.1"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -1513,13 +1534,13 @@ test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"]
 
 [[package]]
 name = "jedi"
-version = "0.19.0"
+version = "0.19.1"
 description = "An autocompletion tool for Python that can be used for text editors."
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
@@ -1528,7 +1549,7 @@ parso = ">=0.8.3,<0.9.0"
 [package.extras]
 docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
 qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
-testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
+testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
 name = "jinja2"
@@ -1625,17 +1646,6 @@ traitlets = ">=5.3"
 docs = ["myst-parser", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"]
 test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
 
-[[package]]
-name = "jupyterlab-pygments"
-version = "0.2.2"
-description = "Pygments theme using JupyterLab CSS variables"
-optional = false
-python-versions = ">=3.7"
-files = [
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-]
-
 [[package]]
 name = "jupyterlab-widgets"
 version = "3.0.9"
@@ -2040,17 +2050,6 @@ files = [
     {file = "mergedeep-1.3.4.tar.gz", hash = "sha256:0096d52e9dad9939c3d975a774666af186eda617e6ca84df4c94dec30004f2a8"},
 ]
 
-[[package]]
-name = "mistune"
-version = "3.0.1"
-description = "A sane and fast Markdown parser with useful plugins and renderers"
-optional = false
-python-versions = ">=3.7"
-files = [
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-    {file = "mistune-3.0.1.tar.gz", hash = "sha256:e912116c13aa0944f9dc530db38eb88f6a77087ab128f49f84a48f4c05ea163c"},
-]
-
 [[package]]
 name = "mkdocs"
 version = "1.5.3"
@@ -2099,13 +2098,13 @@ mkdocs = ">=1.1"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.4.2"
+version = "9.4.3"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "mkdocs_material-9.4.2-py3-none-any.whl", hash = "sha256:8651ff451f84681df9d2e3388906eee63c866576d98d6bb542826f83a091b289"},
-    {file = "mkdocs_material-9.4.2.tar.gz", hash = "sha256:d53b17d058e70efd04c281f9b384ca10fb1f0bfecfe85dacdadad891bb826e3d"},
+    {file = "mkdocs_material-9.4.3-py3-none-any.whl", hash = "sha256:3274a47a4e55a541b25bd8fa4937cf3f3c82a51763453511661e0052062758b9"},
+    {file = "mkdocs_material-9.4.3.tar.gz", hash = "sha256:5c9abc3f6ba8f88be1f9f13df23d695ca4dddbdd8a3538e4e6279c055c3936bc"},
 ]
 
 [package.dependencies]
@@ -2165,13 +2164,13 @@ python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"]
 
 [[package]]
 name = "mkdocstrings-python"
-version = "1.7.0"
+version = "1.7.2"
 description = "A Python handler for mkdocstrings."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "mkdocstrings_python-1.7.0-py3-none-any.whl", hash = "sha256:85c5f009a5a0ebb6076b7818c82a2bb0eebd0b54662628fa8b25ee14a6207951"},
-    {file = "mkdocstrings_python-1.7.0.tar.gz", hash = "sha256:5dac2712bd38a3ff0812b8650a68b232601d1474091b380a8b5bc102c8c0d80a"},
+    {file = "mkdocstrings_python-1.7.2-py3-none-any.whl", hash = "sha256:2d005729a90f1b86d6d71fad4953d787140996adec5b00a25fafc6ee48e1b79a"},
+    {file = "mkdocstrings_python-1.7.2.tar.gz", hash = "sha256:75b6af86f9dcdc2d864072d8fed5b1d45ad94dd2ce97843ef52ca87ad53d9b26"},
 ]
 
 [package.dependencies]
@@ -2268,44 +2267,6 @@ dev = ["pre-commit"]
 docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling"]
 test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
 
-[[package]]
-name = "nbconvert"
-version = "7.8.0"
-description = "Converting Jupyter Notebooks"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "nbconvert-7.8.0-py3-none-any.whl", hash = "sha256:aec605e051fa682ccc7934ccc338ba1e8b626cfadbab0db592106b630f63f0f2"},
-    {file = "nbconvert-7.8.0.tar.gz", hash = "sha256:f5bc15a1247e14dd41ceef0c0a3bc70020e016576eb0578da62f1c5b4f950479"},
-]
-
-[package.dependencies]
-beautifulsoup4 = "*"
-bleach = "!=5.0.0"
-defusedxml = "*"
-importlib-metadata = {version = ">=3.6", markers = "python_version < \"3.10\""}
-jinja2 = ">=3.0"
-jupyter-core = ">=4.7"
-jupyterlab-pygments = "*"
-markupsafe = ">=2.0"
-mistune = ">=2.0.3,<4"
-nbclient = ">=0.5.0"
-nbformat = ">=5.7"
-packaging = "*"
-pandocfilters = ">=1.4.1"
-pygments = ">=2.4.1"
-tinycss2 = "*"
-traitlets = ">=5.1"
-
-[package.extras]
-all = ["nbconvert[docs,qtpdf,serve,test,webpdf]"]
-docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (==5.0.2)", "sphinxcontrib-spelling"]
-qtpdf = ["nbconvert[qtpng]"]
-qtpng = ["pyqtwebengine (>=5.15)"]
-serve = ["tornado (>=6.1)"]
-test = ["flaky", "ipykernel", "ipywidgets (>=7)", "pre-commit", "pytest", "pytest-dependency"]
-webpdf = ["playwright"]
-
 [[package]]
 name = "nbformat"
 version = "5.9.2"
@@ -2496,13 +2457,13 @@ files = [
 
 [[package]]
 name = "numpy-groupies"
-version = "0.10.1"
+version = "0.10.2"
 description = "Optimised tools for group-indexing operations: aggregated sum and more."
 optional = false
 python-versions = ">=3.9"
 files = [
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+    {file = "numpy-groupies-0.10.2.tar.gz", hash = "sha256:f920c4ded899f5975d94fc63d634e7c89622056bbab8cc98a44d4320a0ae8a12"},
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 ]
 
 [package.dependencies]
@@ -2528,13 +2489,13 @@ numpy = "*"
 
 [[package]]
 name = "packaging"
-version = "23.1"
+version = "23.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
@@ -2672,17 +2633,6 @@ sql-other = ["SQLAlchemy (>=1.4.36)"]
 test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
 xml = ["lxml (>=4.8.0)"]
 
-[[package]]
-name = "pandocfilters"
-version = "1.5.0"
-description = "Utilities for writing pandoc filters in python"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-files = [
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-]
-
 [[package]]
 name = "panel"
 version = "1.2.3"
@@ -2719,6 +2669,39 @@ recommended = ["holoviews (>=1.16.0)", "jupyterlab", "matplotlib", "pillow", "pl
 tests = ["altair", "anywidget", "diskcache", "flake8", "flaky", "folium", "holoviews (>=1.16.0)", "ipympl", "ipython (>=7.0)", "ipyvuetify", "ipywidgets-bokeh", "nbval", "numpy", "pandas (>=1.3)", "parameterized", "pre-commit", "psutil", "pytest", "pytest-asyncio", "pytest-cov", "pytest-xdist", "reacton", "scipy", "twine"]
 ui = ["jupyter-server", "playwright", "pytest-playwright"]
 
+[[package]]
+name = "papermill"
+version = "2.4.0"
+description = "Parametrize and run Jupyter and nteract Notebooks"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
+ansiwrap = "*"
+click = "*"
+entrypoints = "*"
+nbclient = ">=0.2.0"
+nbformat = ">=5.1.2"
+pyyaml = "*"
+requests = "*"
+tenacity = "*"
+tqdm = ">=4.32.2"
+
+[package.extras]
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+azure = ["azure-datalake-store (>=0.0.30)", "azure-storage-blob (>=12.1.0)", "requests (>=2.21.0)"]
+black = ["black (>=19.3b0)"]
+dev = ["attrs (>=17.4.0)", "azure-datalake-store (>=0.0.30)", "azure-storage-blob (>=12.1.0)", "black (>=19.3b0)", "boto3", "botocore", "bumpversion", "check-manifest", "codecov", "coverage", "flake8", "gcsfs (>=0.2.0)", "google-compute-engine", "ipython (>=5.0)", "ipywidgets", "moto", "notebook", "pip (>=18.1)", "pre-commit", "pyarrow (>=2.0)", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "pytest-env (>=0.6.2)", "pytest-mock (>=1.10)", "recommonmark", "requests (>=2.21.0)", "setuptools (>=38.6.0)", "tox", "twine (>=1.11.0)", "wheel (>=0.31.0)"]
+gcs = ["gcsfs (>=0.2.0)"]
+github = ["PyGithub (>=1.55)"]
+hdfs = ["pyarrow (>=2.0)"]
+s3 = ["boto3"]
+test = ["attrs (>=17.4.0)", "azure-datalake-store (>=0.0.30)", "azure-storage-blob (>=12.1.0)", "black (>=19.3b0)", "boto3", "botocore", "bumpversion", "check-manifest", "codecov", "coverage", "flake8", "gcsfs (>=0.2.0)", "google-compute-engine", "ipython (>=5.0)", "ipywidgets", "moto", "notebook", "pip (>=18.1)", "pre-commit", "pyarrow (>=2.0)", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "pytest-env (>=0.6.2)", "pytest-mock (>=1.10)", "recommonmark", "requests (>=2.21.0)", "setuptools (>=38.6.0)", "tox", "twine (>=1.11.0)", "wheel (>=0.31.0)"]
+
 [[package]]
 name = "param"
 version = "1.13.0"
@@ -2873,13 +2856,13 @@ tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "pa
 
 [[package]]
 name = "platformdirs"
-version = "3.10.0"
+version = "3.11.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -3446,99 +3429,99 @@ rpds-py = ">=0.7.0"
 
 [[package]]
 name = "regex"
-version = "2023.8.8"
+version = "2023.10.3"
 description = "Alternative regular expression module, to replace re."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
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 [[package]]
@@ -3564,108 +3547,110 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "rpds-py"
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+    {file = "rpds_py-0.10.4.tar.gz", hash = "sha256:18d5ff7fbd305a1d564273e9eb22de83ae3cd9cd6329fddc8f12f6428a711a6a"},
 ]
 
 [[package]]
@@ -3724,25 +3709,25 @@ testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jar
 
 [[package]]
 name = "setuptools-scm"
-version = "8.0.3"
+version = "8.0.4"
 description = "the blessed package to manage your versions by scm tags"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "setuptools-scm-8.0.3.tar.gz", hash = "sha256:0169fd70197efda2f8c4d0b2a7a3d614431b488116f37b79d031e9e7ec884d8c"},
-    {file = "setuptools_scm-8.0.3-py3-none-any.whl", hash = "sha256:813822234453438a13c78d05c8af29918fbc06f88efb33d38f065340bbb48c39"},
+    {file = "setuptools-scm-8.0.4.tar.gz", hash = "sha256:b5f43ff6800669595193fd09891564ee9d1d7dcb196cab4b2506d53a2e1c95c7"},
+    {file = "setuptools_scm-8.0.4-py3-none-any.whl", hash = "sha256:b47844cd2a84b83b3187a5782c71128c28b4c94cad8bfb871da2784a5cb54c4f"},
 ]
 
 [package.dependencies]
 packaging = ">=20"
 setuptools = "*"
 tomli = {version = ">=1", markers = "python_version < \"3.11\""}
-typing-extensions = {version = "*", markers = "python_version < \"3.11\""}
+typing-extensions = "*"
 
 [package.extras]
 docs = ["entangled-cli[rich]", "mkdocs", "mkdocs-entangled-plugin", "mkdocs-material", "mkdocstrings[python]", "pygments"]
 rich = ["rich"]
-test = ["pytest", "rich", "virtualenv (>20)"]
+test = ["build", "pytest", "rich", "wheel"]
 
 [[package]]
 name = "shapely"
@@ -3822,13 +3807,13 @@ files = [
 
 [[package]]
 name = "stack-data"
-version = "0.6.2"
+version = "0.6.3"
 description = "Extract data from python stack frames and tracebacks for informative displays"
 optional = false
 python-versions = "*"
 files = [
-    {file = "stack_data-0.6.2-py3-none-any.whl", hash = "sha256:cbb2a53eb64e5785878201a97ed7c7b94883f48b87bfb0bbe8b623c74679e4a8"},
-    {file = "stack_data-0.6.2.tar.gz", hash = "sha256:32d2dd0376772d01b6cb9fc996f3c8b57a357089dec328ed4b6553d037eaf815"},
+    {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
+    {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
 ]
 
 [package.dependencies]
@@ -3840,22 +3825,29 @@ pure-eval = "*"
 tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
 [[package]]
-name = "tinycss2"
-version = "1.2.1"
-description = "A tiny CSS parser"
+name = "tenacity"
+version = "8.2.3"
+description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tinycss2-1.2.1-py3-none-any.whl", hash = "sha256:2b80a96d41e7c3914b8cda8bc7f705a4d9c49275616e886103dd839dfc847847"},
-    {file = "tinycss2-1.2.1.tar.gz", hash = "sha256:8cff3a8f066c2ec677c06dbc7b45619804a6938478d9d73c284b29d14ecb0627"},
+    {file = "tenacity-8.2.3-py3-none-any.whl", hash = "sha256:ce510e327a630c9e1beaf17d42e6ffacc88185044ad85cf74c0a8887c6a0f88c"},
+    {file = "tenacity-8.2.3.tar.gz", hash = "sha256:5398ef0d78e63f40007c1fb4c0bff96e1911394d2fa8d194f77619c05ff6cc8a"},
 ]
 
-[package.dependencies]
-webencodings = ">=0.4"
-
 [package.extras]
-doc = ["sphinx", "sphinx_rtd_theme"]
-test = ["flake8", "isort", "pytest"]
+doc = ["reno", "sphinx", "tornado (>=4.5)"]
+
+[[package]]
+name = "textwrap3"
+version = "0.9.2"
+description = "textwrap from Python 3.6 backport (plus a few tweaks)"
+optional = false
+python-versions = "*"
+files = [
+    {file = "textwrap3-0.9.2-py2.py3-none-any.whl", hash = "sha256:bf5f4c40faf2a9ff00a9e0791fed5da7415481054cef45bb4a3cfb1f69044ae0"},
+    {file = "textwrap3-0.9.2.zip", hash = "sha256:5008eeebdb236f6303dcd68f18b856d355f6197511d952ba74bc75e40e0c3414"},
+]
 
 [[package]]
 name = "tomli"
@@ -3921,13 +3913,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.10.1"
+version = "5.11.2"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "traitlets-5.10.1-py3-none-any.whl", hash = "sha256:07ab9c5bf8a0499fd7b088ba51be899c90ffc936ffc797d7b6907fc516bcd116"},
-    {file = "traitlets-5.10.1.tar.gz", hash = "sha256:db9c4aa58139c3ba850101913915c042bdba86f7c8a0dda1c6f7f92c5da8e542"},
+    {file = "traitlets-5.11.2-py3-none-any.whl", hash = "sha256:98277f247f18b2c5cabaf4af369187754f4fb0e85911d473f72329db8a7f4fae"},
+    {file = "traitlets-5.11.2.tar.gz", hash = "sha256:7564b5bf8d38c40fa45498072bf4dc5e8346eb087bbf1e2ae2d8774f6a0f078e"},
 ]
 
 [package.extras]
@@ -3972,13 +3964,13 @@ test = ["coverage", "pytest", "pytest-cov"]
 
 [[package]]
 name = "urllib3"
-version = "2.0.5"
+version = "2.0.6"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "urllib3-2.0.5-py3-none-any.whl", hash = "sha256:ef16afa8ba34a1f989db38e1dbbe0c302e4289a47856990d0682e374563ce35e"},
-    {file = "urllib3-2.0.5.tar.gz", hash = "sha256:13abf37382ea2ce6fb744d4dad67838eec857c9f4f57009891805e0b5e123594"},
+    {file = "urllib3-2.0.6-py3-none-any.whl", hash = "sha256:7a7c7003b000adf9e7ca2a377c9688bbc54ed41b985789ed576570342a375cd2"},
+    {file = "urllib3-2.0.6.tar.gz", hash = "sha256:b19e1a85d206b56d7df1d5e683df4a7725252a964e3993648dd0fb5a1c157564"},
 ]
 
 [package.extras]
@@ -4028,13 +4020,13 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[package]]
 name = "wcwidth"
-version = "0.2.6"
+version = "0.2.8"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
 files = [
-    {file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"},
-    {file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"},
+    {file = "wcwidth-0.2.8-py2.py3-none-any.whl", hash = "sha256:77f719e01648ed600dfa5402c347481c0992263b81a027344f3e1ba25493a704"},
+    {file = "wcwidth-0.2.8.tar.gz", hash = "sha256:8705c569999ffbb4f6a87c6d1b80f324bd6db952f5eb0b95bc07517f4c1813d4"},
 ]
 
 [[package]]
@@ -4110,13 +4102,13 @@ viz = ["matplotlib", "nc-time-axis", "seaborn"]
 
 [[package]]
 name = "xyzservices"
-version = "2023.7.0"
+version = "2023.10.0"
 description = "Source of XYZ tiles providers"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "xyzservices-2023.7.0-py3-none-any.whl", hash = "sha256:88e9cbf22b31a2f9c1b242e2b18690f5c705f0e539c9bfd37a10399e1037731b"},
-    {file = "xyzservices-2023.7.0.tar.gz", hash = "sha256:0ec928742227d6f5d4367ea7b457fcfed943429f4de2949b5b02a82cdf5569d6"},
+    {file = "xyzservices-2023.10.0-py3-none-any.whl", hash = "sha256:70b9910f6c8e46f6ca92dea21e9b8cf89edf0ead35a870198fb59a7d63579525"},
+    {file = "xyzservices-2023.10.0.tar.gz", hash = "sha256:eee203e91955782fd8bfc2f05846830c289139dc0ab4eaf733bfa8f0be71861f"},
 ]
 
 [[package]]
@@ -4158,4 +4150,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9, <4.0"
-content-hash = "935e583ff1b84e54d2e12d41ade4f4a4c9a2d994f21ca2f4700719d5b1d545e7"
+content-hash = "1d507fb94fcd4c5fa3bcd91b3b7829d3b02224b12ffd4a13a495d58fde379fd8"
diff --git a/pyproject.toml b/pyproject.toml
index 40eea0a..dc19382 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -35,6 +35,7 @@ numba = ">0.52"
 numpy = "*"
 numpy-indexed = "*"
 pandas = "*"
+scipy = "*"
 shapely = "*"
 xarray = {version = "*", extras = ["io", "accel"]}
 
@@ -45,7 +46,7 @@ pytest = "*"
 pytest-cov = ">=3.0"
 ipykernel = "*"
 ipython = "*"
-nbconvert = "*"
+papermill = "*"
 
 [tool.poetry.group.docs.dependencies]
 mkdocs = "*"
diff --git a/requirements/requirements-dev.txt b/requirements/requirements-dev.txt
index 947ee26..e9e4083 100644
--- a/requirements/requirements-dev.txt
+++ b/requirements/requirements-dev.txt
@@ -1,19 +1,20 @@
+ansiwrap==0.8.4 ; python_version >= "3.9" and python_version < "4.0"
 appnope==0.1.3 ; python_version >= "3.9" and python_version < "4.0" and (platform_system == "Darwin" or sys_platform == "darwin")
 asciitree==0.3.3 ; python_version >= "3.9" and python_version < "4.0"
 asttokens==2.4.0 ; python_version >= "3.9" and python_version < "4.0"
 attrs==23.1.0 ; python_version >= "3.9" and python_version < "4.0"
-babel==2.12.1 ; python_version >= "3.9" and python_version < "4.0"
+babel==2.13.0 ; python_version >= "3.9" and python_version < "4.0"
 backcall==0.2.0 ; python_version >= "3.9" and python_version < "4.0"
-beautifulsoup4==4.12.2 ; python_version >= "3.9" and python_version < "4.0"
+beautifulsoup4==4.12.2 ; python_version < "3.10" and python_version >= "3.9"
 black==23.9.1 ; python_version >= "3.9" and python_version < "4.0"
 bleach==6.0.0 ; python_version >= "3.9" and python_version < "4.0"
 bokeh==3.2.2 ; python_version >= "3.9" and python_version < "4.0"
 bottleneck==1.3.7 ; python_version >= "3.9" and python_version < "4.0"
 cartopy==0.22.0 ; python_version >= "3.9" and python_version < "4.0"
 certifi==2023.7.22 ; python_version >= "3.9" and python_version < "4.0"
-cffi==1.15.1 ; python_version >= "3.9" and python_version < "4.0" and implementation_name == "pypy"
+cffi==1.16.0 ; python_version >= "3.9" and python_version < "4.0" and implementation_name == "pypy"
 cftime==1.6.2 ; python_version >= "3.9" and python_version < "4.0"
-charset-normalizer==3.2.0 ; python_version >= "3.9" and python_version < "4.0"
+charset-normalizer==3.3.0 ; python_version >= "3.9" and python_version < "4.0"
 click-plugins==1.1.1 ; python_version >= "3.9" and python_version < "4.0"
 click==8.1.7 ; python_version >= "3.9" and python_version < "4.0"
 cligj==0.7.2 ; python_version >= "3.9" and python_version < "4"
@@ -23,30 +24,29 @@ colorcet==3.0.1 ; python_version >= "3.9" and python_version < "4.0"
 comm==0.1.4 ; python_version >= "3.9" and python_version < "4.0"
 contourpy==1.1.1 ; python_version >= "3.9" and python_version < "4.0"
 covdefaults==2.3.0 ; python_version >= "3.9" and python_version < "4.0"
-coverage==7.3.1 ; python_version >= "3.9" and python_version < "4.0"
-coverage[toml]==7.3.1 ; python_version >= "3.9" and python_version < "4.0"
-cycler==0.11.0 ; python_version >= "3.9" and python_version < "4.0"
-dask==2023.9.2 ; python_version >= "3.9" and python_version < "4.0"
+coverage==7.3.2 ; python_version >= "3.9" and python_version < "4.0"
+coverage[toml]==7.3.2 ; python_version >= "3.9" and python_version < "4.0"
+cycler==0.12.0 ; python_version >= "3.9" and python_version < "4.0"
+dask==2023.9.3 ; python_version >= "3.9" and python_version < "4.0"
 datashader==0.15.2 ; python_version >= "3.9" and python_version < "4.0"
 datashape==0.5.2 ; python_version >= "3.9" and python_version < "4.0"
 debugpy==1.8.0 ; python_version >= "3.9" and python_version < "4.0"
 decorator==5.1.1 ; python_version >= "3.9" and python_version < "4.0"
-defusedxml==0.7.1 ; python_version >= "3.9" and python_version < "4.0"
 docopt==0.6.2 ; python_version < "3.10" and python_version >= "3.9"
 entrypoints==0.4 ; python_version >= "3.9" and python_version < "4.0"
 exceptiongroup==1.1.3 ; python_version >= "3.9" and python_version < "3.11"
-executing==1.2.0 ; python_version >= "3.9" and python_version < "4.0"
+executing==2.0.0 ; python_version >= "3.9" and python_version < "4.0"
 fasteners==0.19 ; python_version >= "3.9" and python_version < "4.0"
-fastjsonschema==2.18.0 ; python_version >= "3.9" and python_version < "4.0"
+fastjsonschema==2.18.1 ; python_version >= "3.9" and python_version < "4.0"
 fiona==1.9.4.post1 ; python_version >= "3.9" and python_version < "4.0"
 flox==0.7.2 ; python_version >= "3.9" and python_version < "4.0"
-fonttools==4.42.1 ; python_version >= "3.9" and python_version < "4.0"
+fonttools==4.43.0 ; python_version >= "3.9" and python_version < "4.0"
 fsspec==2023.9.2 ; python_version >= "3.9" and python_version < "4.0"
 future==0.18.3 ; python_version >= "3.9" and python_version < "4.0"
 geopandas==0.14.0 ; python_version >= "3.9" and python_version < "4.0"
 geoviews==1.10.1 ; python_version >= "3.9" and python_version < "4.0"
 ghp-import==2.1.0 ; python_version >= "3.9" and python_version < "4.0"
-griffe==0.36.2 ; python_version >= "3.9" and python_version < "4.0"
+griffe==0.36.4 ; python_version >= "3.9" and python_version < "4.0"
 h5netcdf==1.2.0 ; python_version >= "3.9" and python_version < "4.0"
 h5py==3.9.0 ; python_version >= "3.9" and python_version < "4.0"
 holoviews==1.17.1 ; python_version >= "3.9" and python_version < "4.0"
@@ -55,15 +55,14 @@ importlib-metadata==6.8.0 ; python_version >= "3.9" and python_version < "4.0"
 importlib-resources==6.1.0 ; python_version >= "3.9" and python_version < "3.10"
 iniconfig==2.0.0 ; python_version >= "3.9" and python_version < "4.0"
 ipykernel==6.25.2 ; python_version >= "3.9" and python_version < "4.0"
-ipython==8.15.0 ; python_version >= "3.9" and python_version < "4.0"
+ipython==8.16.1 ; python_version >= "3.9" and python_version < "4.0"
 ipywidgets==8.1.1 ; python_version >= "3.9" and python_version < "4.0"
-jedi==0.19.0 ; python_version >= "3.9" and python_version < "4.0"
+jedi==0.19.1 ; python_version >= "3.9" and python_version < "4.0"
 jinja2==3.1.2 ; python_version >= "3.9" and python_version < "4.0"
 jsonschema-specifications==2023.7.1 ; python_version >= "3.9" and python_version < "4.0"
 jsonschema==4.19.1 ; python_version >= "3.9" and python_version < "4.0"
 jupyter-client==8.3.1 ; python_version >= "3.9" and python_version < "4.0"
 jupyter-core==5.3.2 ; python_version >= "3.9" and python_version < "4.0"
-jupyterlab-pygments==0.2.2 ; python_version >= "3.9" and python_version < "4.0"
 jupyterlab-widgets==3.0.9 ; python_version >= "3.9" and python_version < "4.0"
 kiwisolver==1.4.5 ; python_version >= "3.9" and python_version < "4.0"
 linkify-it-py==2.0.2 ; python_version >= "3.9" and python_version < "4.0"
@@ -77,32 +76,30 @@ matplotlib==3.8.0 ; python_version >= "3.9" and python_version < "4.0"
 mdit-py-plugins==0.4.0 ; python_version >= "3.9" and python_version < "4.0"
 mdurl==0.1.2 ; python_version >= "3.9" and python_version < "4.0"
 mergedeep==1.3.4 ; python_version >= "3.9" and python_version < "4.0"
-mistune==3.0.1 ; python_version >= "3.9" and python_version < "4.0"
 mkdocs-autorefs==0.5.0 ; python_version >= "3.9" and python_version < "4.0"
 mkdocs-material-extensions==1.2 ; python_version >= "3.9" and python_version < "4.0"
-mkdocs-material==9.4.2 ; python_version >= "3.9" and python_version < "4.0"
+mkdocs-material==9.4.3 ; python_version >= "3.9" and python_version < "4.0"
 mkdocs==1.5.3 ; python_version >= "3.9" and python_version < "4.0"
-mkdocstrings-python==1.7.0 ; python_version >= "3.9" and python_version < "4.0"
+mkdocstrings-python==1.7.2 ; python_version >= "3.9" and python_version < "4.0"
 mkdocstrings==0.23.0 ; python_version >= "3.9" and python_version < "4.0"
 multipledispatch==1.0.0 ; python_version >= "3.9" and python_version < "4.0"
 mypy-extensions==1.0.0 ; python_version >= "3.9" and python_version < "4.0"
 mypy==1.5.1 ; python_version >= "3.9" and python_version < "4.0"
 nbclient==0.8.0 ; python_version >= "3.9" and python_version < "4.0"
-nbconvert==7.8.0 ; python_version >= "3.9" and python_version < "4.0"
 nbformat==5.9.2 ; python_version >= "3.9" and python_version < "4.0"
 nest-asyncio==1.5.8 ; python_version >= "3.9" and python_version < "4.0"
 netcdf4==1.6.4 ; python_version >= "3.9" and python_version < "4.0"
 numba==0.58.0 ; python_version >= "3.9" and python_version < "4.0"
 numbagg==0.2.2 ; python_version >= "3.9" and python_version < "4.0"
 numcodecs==0.11.0 ; python_version >= "3.9" and python_version < "4.0"
-numpy-groupies==0.10.1 ; python_version >= "3.9" and python_version < "4.0"
+numpy-groupies==0.10.2 ; python_version >= "3.9" and python_version < "4.0"
 numpy-indexed==0.3.7 ; python_version >= "3.9" and python_version < "4.0"
 numpy==1.25.2 ; python_version >= "3.9" and python_version < "4.0"
-packaging==23.1 ; python_version >= "3.9" and python_version < "4.0"
+packaging==23.2 ; python_version >= "3.9" and python_version < "4.0"
 paginate==0.5.6 ; python_version >= "3.9" and python_version < "4.0"
 pandas==2.1.1 ; python_version >= "3.9" and python_version < "4.0"
-pandocfilters==1.5.0 ; python_version >= "3.9" and python_version < "4.0"
 panel==1.2.3 ; python_version >= "3.9" and python_version < "4.0"
+papermill==2.4.0 ; python_version >= "3.9" and python_version < "4.0"
 param==1.13.0 ; python_version >= "3.9" and python_version < "4.0"
 parso==0.8.3 ; python_version >= "3.9" and python_version < "4.0"
 partd==1.4.1 ; python_version >= "3.9" and python_version < "4.0"
@@ -110,7 +107,7 @@ pathspec==0.11.2 ; python_version >= "3.9" and python_version < "4.0"
 pexpect==4.8.0 ; python_version >= "3.9" and python_version < "4.0" and sys_platform != "win32"
 pickleshare==0.7.5 ; python_version >= "3.9" and python_version < "4.0"
 pillow==10.0.1 ; python_version >= "3.9" and python_version < "4.0"
-platformdirs==3.10.0 ; python_version >= "3.9" and python_version < "4.0"
+platformdirs==3.11.0 ; python_version >= "3.9" and python_version < "4.0"
 pluggy==1.3.0 ; python_version >= "3.9" and python_version < "4.0"
 pooch==1.7.0 ; python_version >= "3.9" and python_version < "4.0"
 prompt-toolkit==3.0.39 ; python_version >= "3.9" and python_version < "4.0"
@@ -135,33 +132,34 @@ pyyaml-env-tag==0.1 ; python_version >= "3.9" and python_version < "4.0"
 pyyaml==6.0.1 ; python_version >= "3.9" and python_version < "4.0"
 pyzmq==25.1.1 ; python_version >= "3.9" and python_version < "4.0"
 referencing==0.30.2 ; python_version >= "3.9" and python_version < "4.0"
-regex==2023.8.8 ; python_version >= "3.9" and python_version < "4.0"
+regex==2023.10.3 ; python_version >= "3.9" and python_version < "4.0"
 requests==2.31.0 ; python_version >= "3.9" and python_version < "4.0"
-rpds-py==0.10.3 ; python_version >= "3.9" and python_version < "4.0"
+rpds-py==0.10.4 ; python_version >= "3.9" and python_version < "4.0"
 scipy==1.9.3 ; python_version >= "3.9" and python_version < "4.0"
-setuptools-scm==8.0.3 ; python_version >= "3.9" and python_version < "4.0"
+setuptools-scm==8.0.4 ; python_version >= "3.9" and python_version < "4.0"
 setuptools==68.2.2 ; python_version >= "3.9" and python_version < "4.0"
 shapely==2.0.1 ; python_version >= "3.9" and python_version < "4.0"
 six==1.16.0 ; python_version >= "3.9" and python_version < "4.0"
-soupsieve==2.5 ; python_version >= "3.9" and python_version < "4.0"
-stack-data==0.6.2 ; python_version >= "3.9" and python_version < "4.0"
-tinycss2==1.2.1 ; python_version >= "3.9" and python_version < "4.0"
+soupsieve==2.5 ; python_version < "3.10" and python_version >= "3.9"
+stack-data==0.6.3 ; python_version >= "3.9" and python_version < "4.0"
+tenacity==8.2.3 ; python_version >= "3.9" and python_version < "4.0"
+textwrap3==0.9.2 ; python_version >= "3.9" and python_version < "4.0"
 tomli==2.0.1 ; python_version >= "3.9" and python_full_version <= "3.11.0a6"
 toolz==0.12.0 ; python_version >= "3.9" and python_version < "4.0"
 tornado==6.3.3 ; python_version >= "3.9" and python_version < "4.0"
 tqdm==4.66.1 ; python_version >= "3.9" and python_version < "4.0"
-traitlets==5.10.1 ; python_version >= "3.9" and python_version < "4.0"
+traitlets==5.11.2 ; python_version >= "3.9" and python_version < "4.0"
 typing-extensions==4.8.0 ; python_version >= "3.9" and python_version < "4.0"
 tzdata==2023.3 ; python_version >= "3.9" and python_version < "4.0"
 uc-micro-py==1.0.2 ; python_version >= "3.9" and python_version < "4.0"
-urllib3==2.0.5 ; python_version >= "3.9" and python_version < "4.0"
+urllib3==2.0.6 ; python_version >= "3.9" and python_version < "4.0"
 watchdog==3.0.0 ; python_version >= "3.9" and python_version < "4.0"
-wcwidth==0.2.6 ; python_version >= "3.9" and python_version < "4.0"
+wcwidth==0.2.8 ; python_version >= "3.9" and python_version < "4.0"
 webencodings==0.5.1 ; python_version >= "3.9" and python_version < "4.0"
 webob==1.8.7 ; python_version >= "3.9" and python_version < "3.10"
 widgetsnbextension==4.0.9 ; python_version >= "3.9" and python_version < "4.0"
 xarray==2023.9.0 ; python_version >= "3.9" and python_version < "4.0"
 xarray[accel,io]==2023.9.0 ; python_version >= "3.9" and python_version < "4.0"
-xyzservices==2023.7.0 ; python_version >= "3.9" and python_version < "4.0"
+xyzservices==2023.10.0 ; python_version >= "3.9" and python_version < "4.0"
 zarr==2.16.1 ; python_version >= "3.9" and python_version < "4.0"
 zipp==3.17.0 ; python_version >= "3.9" and python_version < "4.0"
diff --git a/requirements/requirements.txt b/requirements/requirements.txt
index b96ffea..146ee6a 100644
--- a/requirements/requirements.txt
+++ b/requirements/requirements.txt
@@ -10,7 +10,7 @@ bottleneck==1.3.7 ; python_version >= "3.9" and python_version < "4.0"
 cartopy==0.22.0 ; python_version >= "3.9" and python_version < "4.0"
 certifi==2023.7.22 ; python_version >= "3.9" and python_version < "4.0"
 cftime==1.6.2 ; python_version >= "3.9" and python_version < "4.0"
-charset-normalizer==3.2.0 ; python_version >= "3.9" and python_version < "4.0"
+charset-normalizer==3.3.0 ; python_version >= "3.9" and python_version < "4.0"
 click-plugins==1.1.1 ; python_version >= "3.9" and python_version < "4.0"
 click==8.1.7 ; python_version >= "3.9" and python_version < "4.0"
 cligj==0.7.2 ; python_version >= "3.9" and python_version < "4"
@@ -19,19 +19,19 @@ colorama==0.4.6 ; python_version >= "3.9" and python_version < "4.0" and (platfo
 colorcet==3.0.1 ; python_version >= "3.9" and python_version < "4.0"
 comm==0.1.4 ; python_version >= "3.9" and python_version < "4.0"
 contourpy==1.1.1 ; python_version >= "3.9" and python_version < "4.0"
-cycler==0.11.0 ; python_version >= "3.9" and python_version < "4.0"
-dask==2023.9.2 ; python_version >= "3.9" and python_version < "4.0"
+cycler==0.12.0 ; python_version >= "3.9" and python_version < "4.0"
+dask==2023.9.3 ; python_version >= "3.9" and python_version < "4.0"
 datashader==0.15.2 ; python_version >= "3.9" and python_version < "4.0"
 datashape==0.5.2 ; python_version >= "3.9" and python_version < "4.0"
 decorator==5.1.1 ; python_version >= "3.9" and python_version < "4.0"
 docopt==0.6.2 ; python_version < "3.10" and python_version >= "3.9"
 entrypoints==0.4 ; python_version >= "3.9" and python_version < "4.0"
 exceptiongroup==1.1.3 ; python_version >= "3.9" and python_version < "3.11"
-executing==1.2.0 ; python_version >= "3.9" and python_version < "4.0"
+executing==2.0.0 ; python_version >= "3.9" and python_version < "4.0"
 fasteners==0.19 ; python_version >= "3.9" and python_version < "4.0"
 fiona==1.9.4.post1 ; python_version >= "3.9" and python_version < "4.0"
 flox==0.7.2 ; python_version >= "3.9" and python_version < "4.0"
-fonttools==4.42.1 ; python_version >= "3.9" and python_version < "4.0"
+fonttools==4.43.0 ; python_version >= "3.9" and python_version < "4.0"
 fsspec==2023.9.2 ; python_version >= "3.9" and python_version < "4.0"
 future==0.18.3 ; python_version >= "3.9" and python_version < "4.0"
 geopandas==0.14.0 ; python_version >= "3.9" and python_version < "4.0"
@@ -42,9 +42,9 @@ holoviews==1.17.1 ; python_version >= "3.9" and python_version < "4.0"
 idna==3.4 ; python_version >= "3.9" and python_version < "4.0"
 importlib-metadata==6.8.0 ; python_version >= "3.9" and python_version < "4.0"
 importlib-resources==6.1.0 ; python_version >= "3.9" and python_version < "3.10"
-ipython==8.15.0 ; python_version >= "3.9" and python_version < "4.0"
+ipython==8.16.1 ; python_version >= "3.9" and python_version < "4.0"
 ipywidgets==8.1.1 ; python_version >= "3.9" and python_version < "4.0"
-jedi==0.19.0 ; python_version >= "3.9" and python_version < "4.0"
+jedi==0.19.1 ; python_version >= "3.9" and python_version < "4.0"
 jinja2==3.1.2 ; python_version >= "3.9" and python_version < "4.0"
 jupyterlab-widgets==3.0.9 ; python_version >= "3.9" and python_version < "4.0"
 kiwisolver==1.4.5 ; python_version >= "3.9" and python_version < "4.0"
@@ -63,10 +63,10 @@ netcdf4==1.6.4 ; python_version >= "3.9" and python_version < "4.0"
 numba==0.58.0 ; python_version >= "3.9" and python_version < "4.0"
 numbagg==0.2.2 ; python_version >= "3.9" and python_version < "4.0"
 numcodecs==0.11.0 ; python_version >= "3.9" and python_version < "4.0"
-numpy-groupies==0.10.1 ; python_version >= "3.9" and python_version < "4.0"
+numpy-groupies==0.10.2 ; python_version >= "3.9" and python_version < "4.0"
 numpy-indexed==0.3.7 ; python_version >= "3.9" and python_version < "4.0"
 numpy==1.25.2 ; python_version >= "3.9" and python_version < "4.0"
-packaging==23.1 ; python_version >= "3.9" and python_version < "4.0"
+packaging==23.2 ; python_version >= "3.9" and python_version < "4.0"
 pandas==2.1.1 ; python_version >= "3.9" and python_version < "4.0"
 panel==1.2.3 ; python_version >= "3.9" and python_version < "4.0"
 param==1.13.0 ; python_version >= "3.9" and python_version < "4.0"
@@ -75,7 +75,7 @@ partd==1.4.1 ; python_version >= "3.9" and python_version < "4.0"
 pexpect==4.8.0 ; python_version >= "3.9" and python_version < "4.0" and sys_platform != "win32"
 pickleshare==0.7.5 ; python_version >= "3.9" and python_version < "4.0"
 pillow==10.0.1 ; python_version >= "3.9" and python_version < "4.0"
-platformdirs==3.10.0 ; python_version >= "3.9" and python_version < "4.0"
+platformdirs==3.11.0 ; python_version >= "3.9" and python_version < "4.0"
 pooch==1.7.0 ; python_version >= "3.9" and python_version < "4.0"
 prompt-toolkit==3.0.39 ; python_version >= "3.9" and python_version < "4.0"
 ptyprocess==0.7.0 ; python_version >= "3.9" and python_version < "4.0" and sys_platform != "win32"
@@ -92,27 +92,27 @@ pyviz-comms==3.0.0 ; python_version >= "3.9" and python_version < "4.0"
 pyyaml==6.0.1 ; python_version >= "3.9" and python_version < "4.0"
 requests==2.31.0 ; python_version >= "3.9" and python_version < "4.0"
 scipy==1.9.3 ; python_version >= "3.9" and python_version < "4.0"
-setuptools-scm==8.0.3 ; python_version >= "3.9" and python_version < "4.0"
+setuptools-scm==8.0.4 ; python_version >= "3.9" and python_version < "4.0"
 setuptools==68.2.2 ; python_version >= "3.9" and python_version < "4.0"
 shapely==2.0.1 ; python_version >= "3.9" and python_version < "4.0"
 six==1.16.0 ; python_version >= "3.9" and python_version < "4.0"
 soupsieve==2.5 ; python_version < "3.10" and python_version >= "3.9"
-stack-data==0.6.2 ; python_version >= "3.9" and python_version < "4.0"
+stack-data==0.6.3 ; python_version >= "3.9" and python_version < "4.0"
 tomli==2.0.1 ; python_version >= "3.9" and python_version < "3.11"
 toolz==0.12.0 ; python_version >= "3.9" and python_version < "4.0"
 tornado==6.3.3 ; python_version >= "3.9" and python_version < "4.0"
 tqdm==4.66.1 ; python_version >= "3.9" and python_version < "4.0"
-traitlets==5.10.1 ; python_version >= "3.9" and python_version < "4.0"
+traitlets==5.11.2 ; python_version >= "3.9" and python_version < "4.0"
 typing-extensions==4.8.0 ; python_version >= "3.9" and python_version < "4.0"
 tzdata==2023.3 ; python_version >= "3.9" and python_version < "4.0"
 uc-micro-py==1.0.2 ; python_version >= "3.9" and python_version < "4.0"
-urllib3==2.0.5 ; python_version >= "3.9" and python_version < "4.0"
-wcwidth==0.2.6 ; python_version >= "3.9" and python_version < "4.0"
+urllib3==2.0.6 ; python_version >= "3.9" and python_version < "4.0"
+wcwidth==0.2.8 ; python_version >= "3.9" and python_version < "4.0"
 webencodings==0.5.1 ; python_version >= "3.9" and python_version < "4.0"
 webob==1.8.7 ; python_version >= "3.9" and python_version < "3.10"
 widgetsnbextension==4.0.9 ; python_version >= "3.9" and python_version < "4.0"
 xarray==2023.9.0 ; python_version >= "3.9" and python_version < "4.0"
 xarray[accel,io]==2023.9.0 ; python_version >= "3.9" and python_version < "4.0"
-xyzservices==2023.7.0 ; python_version >= "3.9" and python_version < "4.0"
+xyzservices==2023.10.0 ; python_version >= "3.9" and python_version < "4.0"
 zarr==2.16.1 ; python_version >= "3.9" and python_version < "4.0"
 zipp==3.17.0 ; python_version >= "3.9" and python_version < "4.0"
diff --git a/thalassa/__init__.py b/thalassa/__init__.py
index 0ece6e6..88dba4c 100644
--- a/thalassa/__init__.py
+++ b/thalassa/__init__.py
@@ -1,13 +1,17 @@
 from __future__ import annotations
 
 from .api import open_dataset
+from .normalization import normalize
 from .plotting import plot
 from .plotting import plot_mesh
+from .plotting import plot_ts
 from .utils import crop
 
 __all__: list[str] = [
     "crop",
+    "normalize",
     "open_dataset",
     "plot",
     "plot_mesh",
+    "plot_ts",
 ]
diff --git a/thalassa/api.py b/thalassa/api.py
index 4e1c431..3e436e7 100644
--- a/thalassa/api.py
+++ b/thalassa/api.py
@@ -48,13 +48,31 @@ def open_dataset(
     **kwargs: dict[str, typing.Any],
 ) -> xr.Dataset:
     """
-    Open the file specified in ``path`` using ``xarray`` and return an ``xr.Dataset``
+    Open the file specified at ``path`` using ``xarray`` and return an ``xarray.Dataset``.
+
+    If `normalize` is `True` then convert the dataset to the "Thalassa schema", too.
+    Additional `kwargs` are passed on to `xarray.open_dataset()`.
+
+    !!! note
+
+        This function is just a wrapper around `xarray.open_dataset()`. The reason we need
+        it is because the netcdfs files created by ADCIRC are not compatible with `xarray`,
+        at least not when using the defaults. This function automatically detects the
+        problematic variables (e.g. `neta` and `nvel`) and drops them.
+
+    Examples:
+        ``` python
+        import thalassa
+
+        ds = thalassa.open_dataset("some_netcdf.nc")
+        print(ds)
+        ```
 
     Parameters:
         path: The path to the dataset file (netCDF, zarr, grib)
-        normalize: Boolean flag indicating whether the dataset should be converted/normalized to the ``Thalassa`` schema.
+        normalize: Boolean flag indicating whether the dataset should be converted/normalized to the "Thalassa schema".
             Normalization is currently only supported for ``SCHISM`` and ``ADCIRC`` netcdf files.
-        kwargs: The ``kwargs`` are being passed through to ``xr.open_dataset``.
+        kwargs: The ``kwargs`` are being passed through to ``xarray.open_dataset``.
 
     """
     default_kwargs: dict[str, typing.Any] = dict(
@@ -65,7 +83,7 @@ def open_dataset(
     with warnings.catch_warnings(record=True):
         ds = xr.open_dataset(path, **(default_kwargs | kwargs))  # type: ignore[arg-type]
     if normalize:
-        ds = normalization.normalize_dataset(ds)
+        ds = normalization.normalize(ds)
     return ds
 
 
@@ -80,16 +98,22 @@ def get_dtf() -> DatetimeTickFormatter:
 
 
 def create_trimesh(
-    ds: xr.Dataset,
+    ds_or_trimesh: gv.TriMesh | xr.Dataset,
     variable: str | None = None,
 ) -> gv.TriMesh:
     """
     Create a ``gv.TriMesh`` object from the provided dataset.
 
     Parameters:
-        ds: The dataset containing the variable we want to visualize
+        ds_or_trimesh: The dataset containing the variable we want to visualize.
+            If a trimesh object is passed, then return it immediately.
         variable: The data variable we want to visualize
     """
+    if isinstance(ds_or_trimesh, gv.TriMesh):
+        # This is already a trimesh, nothing to do
+        return ds_or_trimesh
+    # create the trimesh object
+    ds = ds_or_trimesh
     columns = ["lon", "lat"]
     if variable is not None:
         columns.append(variable)
@@ -118,10 +142,7 @@ def get_wireframe(
     ds_or_trimesh: gv.TriMesh | xr.Dataset,
 ) -> gv.DynamicMap:
     """Return a ``DynamicMap`` with a wireframe of the mesh."""
-    if not isinstance(ds_or_trimesh, gv.TriMesh):
-        trimesh = create_trimesh(ds=ds_or_trimesh)
-    else:
-        trimesh = ds_or_trimesh
+    trimesh = create_trimesh(ds_or_trimesh)
     kwargs = dict(element=trimesh.edgepaths, precompute=True)
     wireframe = rasterize(**kwargs).opts(tools=["hover"], cmap=["black"], title="Mesh")
     wireframe = dynspread(wireframe)
@@ -129,7 +150,8 @@ def get_wireframe(
 
 
 def get_raster(
-    trimesh: gv.TriMesh,
+    ds_or_trimesh: gv.TriMesh | xr.Dataset,
+    variable: str | None = None,
     title: str = "",
     cmap: str = "plasma",
     colorbar: bool = True,
@@ -144,6 +166,7 @@ def get_raster(
 
     Uses ``datashader`` behind the scenes.
     """
+    trimesh = create_trimesh(ds_or_trimesh=ds_or_trimesh, variable=variable)
     kwargs = dict(element=trimesh, precompute=True)
     if x_range:
         kwargs["x_range"] = x_range
@@ -191,7 +214,10 @@ def callback(x: float, y: float) -> hv.Curve:
             )
         # setup hover
         hover = HoverTool(
-            tooltips=[("time", "@time{%F %T}"), (f"{variable}", f"@{variable}")],
+            tooltips=[
+                ("time", "@time{%F %T}"),
+                (f"{variable}", f"@{variable}"),
+            ],
             formatters={
                 "@time": "datetime",
             },
diff --git a/thalassa/normalization.py b/thalassa/normalization.py
index 1027751..2a84bef 100644
--- a/thalassa/normalization.py
+++ b/thalassa/normalization.py
@@ -178,7 +178,24 @@ def normalize_adcirc(ds: xr.Dataset) -> xr.Dataset:
 }
 
 
-def normalize_dataset(ds: xr.Dataset) -> xr.Dataset:
+def normalize(ds: xr.Dataset) -> xr.Dataset:
+    """
+    Normalize the `dataset` i.e. convert it to the "Thalassa Schema".
+
+    Examples:
+        ``` python
+        import thalassa
+        import xarray as xr
+
+        ds = xr.open_dataset("some_netcdf.nc")
+        ds = thalassa.normalize(ds)
+        print(ds)
+        ```
+
+    Parameters:
+        ds: The dataset we want to convert.
+
+    """
     logger.debug("Dataset normalization: Started")
     fmt = infer_format(ds)
     normalizer_func = NORMALIZE_DISPATCHER[fmt]
diff --git a/thalassa/plotting.py b/thalassa/plotting.py
index 1c8505e..a032702 100644
--- a/thalassa/plotting.py
+++ b/thalassa/plotting.py
@@ -14,12 +14,57 @@
 logger = logging.getLogger(__name__)
 
 
+def _sanity_check(ds: xr.Dataset, variable: str) -> None:
+    dims = ds[variable].dims
+    if "node" not in dims:
+        msg = (
+            f"Only variables whose dimensions include 'node' can be plotted. "
+            f"The dimensions of variable '{variable}' are: {ds[variable].dims}"
+        )
+        raise ValueError(msg)
+    if dims != ("node",):
+        msg = (
+            f"In order to plot variable '{variable}', the dataset must be filtered in such a way "
+            f"that the only dimension of '{variable}' is `node`. Please use `.sel()` or `.isel()` "
+            f"to filter the dataset accordingly. Current dimensions are: {ds[variable].dims}"
+        )
+        raise ValueError(msg)
+
+
 def plot_mesh(
     ds: xr.Dataset,
     bbox: shapely.Polygon | None = None,
     title: str = "Mesh",
 ) -> gv.DynamicMap:
-    ds = normalization.normalize_dataset(ds)
+    """
+    Plot the mesh of the dataset
+
+    Examples:
+        ``` python
+        import thalassa
+
+        ds = thalassa.open_dataset("some_netcdf.nc")
+        thalassa.plot_mesh(ds)
+        ```
+
+        If we want to on-the-fly crop the dataset we can pass `bbox`, too:
+
+        ``` python
+        import shapely
+        import thalassa
+
+        bbox = shapely.box(0, 0, 1, 1)
+        ds = thalassa.open_dataset("some_netcdf.nc")
+        thalassa.plot_mesh(ds, bbox=bbox)
+        ```
+
+    Parameters:
+        ds: The dataset whose mesh we want to visualize. It must adhere to the "thalassa schema"
+        bbox: A Shapely polygon which will be used to (on-the-fly) crop the `dataset`.
+        title: The title of the plot.
+
+    """
+    ds = normalization.normalize(ds)
     if bbox:
         ds = utils.crop(ds, bbox)
     tiles = api.get_tiles()
@@ -30,7 +75,7 @@ def plot_mesh(
 
 def plot(
     ds: xr.Dataset,
-    variable: str = "max_elev",
+    variable: str,
     bbox: shapely.Polygon | None = None,
     title: str = "",
     cmap: str = "plasma",
@@ -42,12 +87,72 @@ def plot(
     y_range: tuple[float, float] | None = None,
     show_mesh: bool = False,
 ) -> gv.DynamicMap:
-    ds = normalization.normalize_dataset(ds)
+    """
+    Return the plot of the specified `variable`.
+
+    Examples:
+        ``` python
+        import thalassa
+
+        ds = thalassa.open_dataset("some_netcdf.nc")
+        thalassa.plot(ds, variable="zeta_max")
+        ```
+
+        When we plot time dependent variables we need to filter the data
+        in such a way that `time` is no longer a dimension.
+        For example to plot the map of the first timestamp of variable `zeta`:
+
+        ``` python
+        import thalassa
+
+        ds = thalassa.open_dataset("some_netcdf.nc")
+        thalassa.plot(ds.isel(time=0), variable="zeta")
+        ```
+
+        Often, it is quite useful to limit the range of the colorbar:
+
+        ``` python
+        import thalassa
+
+        ds = thalassa.open_dataset("some_netcdf.nc")
+        thalassa.plot(ds, variable="zeta", clim_min=1, clim_max=3, clabel="meter")
+        ```
+
+        If we want to on-the-fly crop the dataset we can pass `bbox`, too:
+
+        ``` python
+        import shapely
+        import thalassa
+
+        bbox = shapely.box(0, 0, 1, 1)
+        ds = thalassa.open_dataset("some_netcdf.nc")
+        thalassa.plot(ds, variable="depth", bbox=bbox)
+        ```
+
+    Parameters:
+        ds: The dataset which will get visualized. It must adhere to the "thalassa schema".
+        variable: The dataset's variable which we want to visualize.
+        bbox: A Shapely polygon which will be used to (on-the-fly) crop the `dataset`.
+        title: The title of the plot. Defaults to `variable`.
+        cmap: The colormap to use.
+        colorbar: Boolean flag indicating whether the plot should have an integrated colorbar.
+        clabel: A caption for the colorbar. Useful for indicating e.g. units
+        clim_min: The lower limit for the colorbar.
+        clim_max: The upper limit for the colorbar.
+        x_range: A tuple indicating the minimum and maximum longitude to be displayed.
+        y_range: A tuple indicating the minimum and maximum latitude to be displayed.
+        show_mesh: A boolean flag indicating whether the mesh should be overlayed on the rendered variable.
+            Enabling this makes rendering slower.
+
+    """
+    ds = normalization.normalize(ds)
+    _sanity_check(ds=ds, variable=variable)
     if bbox:
         ds = utils.crop(ds, bbox)
-    trimesh = api.create_trimesh(ds=ds, variable=variable)
+    trimesh = api.create_trimesh(ds_or_trimesh=ds, variable=variable)
     raster = api.get_raster(
-        trimesh=trimesh,
+        ds_or_trimesh=trimesh,
+        variable=variable,
         x_range=x_range,
         y_range=y_range,
         cmap=cmap,
@@ -58,9 +163,44 @@ def plot(
         clabel=clabel,
     )
     tiles = api.get_tiles()
+    components = [tiles, raster]
     if show_mesh:
-        mesh = api.get_wireframe(ds_or_trimesh=trimesh)
-        overlay = hv.Overlay((tiles, raster, mesh))
-    else:
-        overlay = hv.Overlay((tiles, raster))
-    return overlay.collate()
+        mesh = api.get_wireframe(ds)
+        components.append(mesh)
+    overlay = hv.Overlay(components)
+    dmap = overlay.collate()
+    # Keep a reference of the raster DynamicMap, in order to be able to retrieve it from plot_ts
+    dmap._raster = raster
+    return dmap
+
+
+def plot_ts(
+    ds: xr.Dataset,
+    variable: str,
+    source_plot: gv.DynamicMap,
+) -> gv.DynamicMap:
+    """
+    Return a plot with the full timeseries of a specific node.
+
+    The node that will be visualized is selected by clicking on `source_plot`.
+
+    Examples:
+        ``` python
+        import thalassa
+
+        ds = thalassa.open_dataset("some_netcdf.nc")
+        main_plot = thalassa.plot(ds, variable="zeta_max")
+        ts_plot = thalassa.plot_ts(ds, variable="zeta", source_plot=main_plot)
+
+        (main_plot.opts(width=600) + ts_plot.opts(width=600)).cols(1)
+        ```
+
+    Parameters:
+        ds: The dataset which will get visualized. It must adhere to the "thalassa schema"
+        variable: The dataset's variable which we want to visualize.
+        source_plot: The plot instance which be used to select the coordinates of the node.
+            Normally, you get this instance by calling `plot()`.
+    """
+    ds = normalization.normalize(ds)
+    ts = api.get_tap_timeseries(ds, variable, source_plot._raster)
+    return ts
diff --git a/thalassa/utils.py b/thalassa/utils.py
index 4e298f8..65667df 100644
--- a/thalassa/utils.py
+++ b/thalassa/utils.py
@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import logging.config
-import typing
+import typing as T
 
 import geopandas as gpd
 import geoviews as gv
@@ -28,8 +28,25 @@ def resolve_bbox(
 
 def crop(
     ds: xr.Dataset,
-    bbox: shapely.Polygon | tuple[float, float, float, float],
+    bbox: shapely.Polygon,
 ) -> xr.Dataset:
+    """
+    Crop the dataset using the provided `bbox`.
+
+    Examples:
+        ``` python
+        import thalassa
+        import shapely
+
+        ds = thalassa.open_dataset("some_netcdf.nc")
+        bbox = shapely.box(0, 0, 1, 1)
+        ds = thalassa.crop(ds, bbox)
+        ```
+
+    Parameters:
+        ds: The dataset we want to crop.
+        bbox: A Shapely polygon whose boundary will be used to crop `ds`.
+    """
     bbox = resolve_bbox(bbox)
     indices_of_nodes_in_bbox = np.where(
         True
@@ -69,7 +86,7 @@ def generate_thalassa_ds(
     if time_range is not None:
         coords["time"] = (("time"), time_range)
     # Data Variables
-    data_vars: dict[str, typing.Any] = {
+    data_vars: dict[str, T.Any] = {
         "triface_nodes": (("triface", "three"), triface_nodes),
         **kwargs,
     }
@@ -100,7 +117,7 @@ def is_variable_visualizable(ds: xr.Dataset, variable: str) -> bool:
     return ds[variable].dims in _VISUALIZABLE_DIMS
 
 
-def filter_visualizable_data_vars(ds: xr.Dataset, variables: typing.Iterable[str]) -> list[str]:
+def filter_visualizable_data_vars(ds: xr.Dataset, variables: T.Iterable[str]) -> list[str]:
     visualizable = []
     for var in variables:
         if is_variable_visualizable(ds=ds, variable=var):
@@ -132,7 +149,7 @@ def split_quads(face_nodes: npt.NDArray[np.int_]) -> npt.NDArray[np.int_]:
 
     # Append new triangles to the existing ones
     # Also cast to the proper type for Mypy
-    new_face_nodes = typing.cast(
+    new_face_nodes = T.cast(
         npt.NDArray[np.int_],
         np.r_[existing_triangles, new_triangles].astype(int),
     )
@@ -144,7 +161,7 @@ def get_index_of_nearest_node(ds: xr.Dataset, lon: float, lat: float) -> int:
     # https://www.unidata.ucar.edu/blogs/developer/en/entry/accessing_netcdf_data_by_coordinates
     # https://github.com/Unidata/python-workshop/blob/fall-2016/notebooks/netcdf-by-coordinates.ipynb
     dist = abs(ds.lon - lon) ** 2 + abs(ds.lat - lat) ** 2
-    index_of_nearest_node = typing.cast(int, dist.argmin())
+    index_of_nearest_node = T.cast(int, dist.argmin())
     return index_of_nearest_node
 
 
@@ -244,7 +261,7 @@ def is_point_in_the_raster(raster: gv.DynamicMap, lon: float, lat: float) -> boo
     raster_dataset = raster.values()[0].data
     data_var_name = raster.ddims[-1].name
     interpolated = raster_dataset[data_var_name].interp(dict(lon=lon, lat=lat)).data
-    return typing.cast(bool, ~np.isnan(interpolated))
+    return T.cast(bool, ~np.isnan(interpolated))
 
 
 def generate_mesh_polygon(ds: xr.Dataset) -> gpd.GeoDataFrame: