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diff --git a/docs/examples/01_example_zamg.ipynb b/docs/examples/01_example_zamg.ipynb
@@ -9,7 +9,7 @@
     }
    },
    "source": [
-    "# 1. Potential Evapotranspiration from ZAMG data\n",
+    "# Potential Evapotranspiration from ZAMG data\n",
     "*A. Kokimova, November 2021, University of Graz*\n",
     "\n",
     "Data source: ZAMG - https://data.hub.zamg.ac.at\n",
@@ -315,7 +315,7 @@
     }
    },
    "source": [
-    "### Plot results"
+    "## Plot results"
    ]
   },
   {
@@ -360,7 +360,7 @@
     }
    },
    "source": [
-    "### Store results"
+    "## Store results"
    ]
   },
   {

diff --git a/docs/examples/02_example_zamg_netcdf.ipynb b/docs/examples/02_example_zamg_netcdf.ipynb
diff --git a/docs/examples/03_example_knmi.ipynb b/docs/examples/03_example_knmi.ipynb
@@ -5,7 +5,7 @@
    "id": "d0959a4c",
    "metadata": {},
    "source": [
-    "# 3. Potential Evapotranspiration from KNMI data\n",
+    "# Potential Evapotranspiration from KNMI data\n",
     "*R.A. Collenteur, Eawag, 2023*\n",
     "\n",
     "Data source: KNMI - https://dataplatform.knmi.nl/\n",
@@ -253,6 +253,14 @@
     "- UNH       = Hourly division in which UN was measured\n",
     "- EV24      = Potential evapotranspiration (Makkink) (in 0.1 mm)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "df028060-9d5f-4616-9797-d44e6b66002b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {

diff --git a/docs/examples/04_example_coagmet.ipynb b/docs/examples/04_example_coagmet.ipynb
@@ -4,7 +4,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# 4. Potential Evapotranspiration from CoAgMET data\n",
+    "# Potential Evapotranspiration from CoAgMET data\n",
+    "\n",
     "*M. Vremec, University of Graz, 2021*\n",
     "\n",
     "In this notebook it is shown how to compute (reference) evapotranspiration ($ET_0$) from meteorological data observed by the Colorado State University (CoAgMET) at Holyoke in Colorado, USA. The notebook also includes a comparison between $ET_0$ estimated using *pyet* (FAO56) and $ET_0$ available from CoAgMET. According to CoAgMET documentation, the provided reference evapotranspiration is estimated using ASCE reference evapotranspiration for short reference grass (Wright, 2000), which corresponds to the FAO-56 method used with *pyet*.\n",

diff --git a/docs/examples/05_example_calibration.ipynb b/docs/examples/05_example_calibration.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# 5. Calibration of potential evapotranspiration methods\n",
+    "# Calibration of potential evapotranspiration methods\n",
     "*M. Vremec, R.A. Collenteur University of Graz, 2021*\n",
     "\n",
     "In this notebook it is shown how to calibrate various (potential) evapotranspiration (PET) equations, using a linear regression relationship between daily potential evapotranspiration obtained with the FAO-56 equation and daily PET estimates obtained with the alternative methods. This notebook requires Scipy and SkLearn python packages to run."

diff --git a/docs/examples/06_worked_examples_McMahon_etal_2013.ipynb b/docs/examples/06_worked_examples_McMahon_etal_2013.ipynb
@@ -5,7 +5,8 @@
    "id": "133f830b-bbd2-4801-b436-534f851697b0",
    "metadata": {},
    "source": [
-    "# 6. Worked example for estimating meteorological variables and potential evapotranspiration\n",
+    "# Worked example for estimating meteorological variables and potential evapotranspiration\n",
+    "\n",
     "*M. Vremec, October 2022, University of Graz*\n",
     "\n",
     "What is done:\n",

diff --git a/docs/examples/07_example_climate_change.ipynb b/docs/examples/07_example_climate_change.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# 7. Potential evapotranspiration under warming and elevated $CO_2$ concentration\n",
+    "# Potential evapotranspiration under warming and elevated $CO_2$ concentration\n",
     "*M. Vremec, R.A. Collenteur University of Graz, 2021*\n",
     "\n",
     "In this notebook it is shown how to estimate Potential Evapotranspiration under elevated $CO_2$ conditions and an increase in temperature.\n",

diff --git a/docs/examples/08_crop_coefficient.ipynb b/docs/examples/08_crop_coefficient.ipynb
@@ -9,7 +9,8 @@
     }
    },
    "source": [
-    "# 8. Determining the crop coefficient function with Python\n",
+    "# Determining the crop coefficient function with Python\n",
+    "\n",
     "*M. Vremec, October 2022, University of Graz*\n",
     "\n",
     "Data source: ZAMG - https://data.hub.zamg.ac.at\n",
@@ -49,7 +50,7 @@
     }
    },
    "source": [
-    "## Loading daily data from ZAMG (Messstationen Tagesdaten)\n",
+    "## 1. Loading daily data from ZAMG (Messstationen Tagesdaten)\n",
     "\n",
     "station: Graz Universität 16412\n",
     "\n",
@@ -88,7 +89,7 @@
     }
    },
    "source": [
-    "## Calculate PET for Graz Universität - 16412"
+    "## 2. Calculate PET for Graz Universität - 16412"
    ]
   },
   {
@@ -121,7 +122,7 @@
    "id": "696cb6aa-773d-4e1b-8a11-64ee5a5242e9",
    "metadata": {},
    "source": [
-    "## Determine the crop coefficient function\n",
+    "## 3. Determine the crop coefficient function\n",
     "\n",
     "Based on: https://www.fao.org/3/x0490e/x0490e0b.htm\n",
     "figure 34.\n",
@@ -180,7 +181,7 @@
     }
    },
    "source": [
-    "### Plot results"
+    "## 4. Plot results"
    ]
   },
   {

diff --git a/docs/examples/09_CMIP6_data.ipynb b/docs/examples/09_CMIP6_data.ipynb
@@ -5,7 +5,8 @@
    "id": "d8992de4-0b85-4df3-8835-d9dd3e7a3901",
    "metadata": {},
    "source": [
-    "# 9. Potential Evapotranspiration from CMIP6 climate projections (NetCDF)\n",
+    "# Potential Evapotranspiration from CMIP6 climate projections (NetCDF)\n",
+    "\n",
     "*M. Vremec, December 2022, University of Graz*\n",
     "\n",
     "\n",

diff --git a/docs/examples/10_example_paper.ipynb b/docs/examples/10_example_paper.ipynb
@@ -7,7 +7,7 @@
    "source": [
     "# Improved handling of potential evapotranspiration in hydrological studies with PyEt\n",
     "\n",
-    "This notebook is supporting the manuscript: Vremec et al. \"Technical note: Improved handling of potential evapotranspiration in hydrological studies with *PyEt*\". Submitted to: Hydrology and Earth System Sciences.\n",
+    "This notebook is supporting the manuscript: Vremec et al. \"Technical note: Improved handling of potential evapotranspiration in hydrological studies with *PyEt*\". Submitted to: Geoscientific Model Development.\n",
     "\n",
     "*M.Vremec (University of Graz), R. A. Collenteur (Eawag)*\n",
     "\n",
@@ -17,7 +17,7 @@
     "* Example 2: E-OBS https://www.ecad.eu/\n",
     "* Example 3: ZAMG - https://data.hub.zamg.ac.at\n",
     "\n",
-    "### The supporting Notebook is structured as follows:\n",
+    "**The supporting Notebook is structured as follows:**\n",
     "\n",
     "* Benchmarking PET methods\n",
     "* Example 1: Estimation of PET from station data\n",
@@ -64,7 +64,7 @@
     "tags": []
    },
    "source": [
-    "## Import packages"
+    "## 1. Import packages"
    ]
   },
   {
@@ -137,7 +137,7 @@
     "tags": []
    },
    "source": [
-    "# 0. Benchmarking PET methods"
+    "## 2. Benchmarking PET methods"
    ]
   },
   {
@@ -784,7 +784,7 @@
     "tags": []
    },
    "source": [
-    "# Example 1: Estimation of PET from station data"
+    "## 3. Example 1: Estimation of PET from station data"
    ]
   },
   {
@@ -883,7 +883,7 @@
     "tags": []
    },
    "source": [
-    "# Example 2: Estimate PET for gridded data\n",
+    "## 4. Example 2: Estimate PET for gridded data\n",
     "\n",
     "Data source: E-OBS https://www.ecad.eu/"
    ]
@@ -1019,7 +1019,7 @@
     "tags": []
    },
    "source": [
-    "# Example 3: Calibration of PET models\n",
+    "## 5. Example 3: Calibration of PET models\n",
     "\n",
     "Data source: ZAMG - https://data.hub.zamg.ac.at"
    ]
@@ -1063,7 +1063,7 @@
    "id": "a6f6cd92-16c0-446f-9343-d26671613614",
    "metadata": {},
    "source": [
-    "## 3.1 Calibrate alternative temperature models to Penman-Monteith"
+    "### 5.1 Calibrate alternative temperature models to Penman-Monteith"
    ]
   },
   {
@@ -1135,7 +1135,7 @@
     "tags": []
    },
    "source": [
-    "## 3.2 Hindcasting PET for Graz, Austria"
+    "### 5.2 Hindcasting PET for Graz, Austria"
    ]
   },
   {
@@ -1298,7 +1298,7 @@
     "tags": []
    },
    "source": [
-    "# Example 4: Forecasting for Graz Austria"
+    "## 6. Example 4: Forecasting for Graz Austria"
    ]
   },
   {
@@ -1497,7 +1497,7 @@
    "id": "abfb2272",
    "metadata": {},
    "source": [
-    "# Code example in paper"
+    "## 7. Code example in paper"
    ]
   },
   {
@@ -1600,7 +1600,7 @@
    "id": "d43d1f5e-0bbc-43f9-ac94-6f952278245e",
    "metadata": {},
    "source": [
-    "# Acknowledgements"
+    "## Acknowledgements"
    ]
   },
   {
@@ -1616,7 +1616,7 @@
    "id": "e69f71ff-fa2d-449a-9321-944acd4248b4",
    "metadata": {},
    "source": [
-    "# Literature\n",
+    "## Literature\n",
     "\n",
     "Abtew, W. (1996). Evapotranspiration measurements and modeling for three wetland systems in South Florida 1. JAWRA Journal of the American Water Resources Association, 32, 465-473. Publisher: Wiley Online Library.\n",
     "\n",
@@ -1670,14 +1670,6 @@
     "\n",
     "Wright, J.L. (1982). New evapotranspiration crop coefficients. Proceedings of the American Society of Civil Engineers, Journal of the Irrigation and Drainage Division, 108, 57-74."
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "dcc1b8f7-1fbe-4ab2-bb4b-127b0843ac12",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

diff --git a/docs/examples/index.rst b/docs/examples/index.rst
@@ -4,7 +4,7 @@ Below you can find examples of how *pyet* models are used for estimating (potent
 evaporation.
 
 .. toctree::
-    :maxdepth: 2
+    :maxdepth: 1
     :numbered:
     :glob: