Refactor: updating documentation (#117)

* Refactor: updating reading (RPG Radar)

* Refactor: updating readme

* Refactor: update reademe

* Refactor: radar wind retrieval doc

* Refactor: Radar usage section

* Refactor: adding ppi figure

* Update: radar wind scaning doc

* update: extending doc

* update: RPG note

* Update: sections to be extended

* Feat: Adding a RPG processing example

* Feat: adding a notebook example for the radar part

* Refactor: extending the RPG radar usage

* Refactor: introduction change

* Refactor: small text fix

README.rst

@@ -21,31 +21,16 @@ lidarwind introduction
 .. image:: https://codecov.io/gh/jdiasn/lidarwind/branch/main/graph/badge.svg?token=CEZM17YY3I
    :target: https://codecov.io/gh/jdiasn/lidarwind
 
-lidarwind is an open-source Python project to retrieve wind speed and direction profiles from Doppler lidar observations from the WindCube-200s, and it was developed to be easy to use. It can retrieve wind profiles from the 6-beam and DBS scanning strategies and allow users to set the signal-to-noise ratio threshold to reduce the noise. It also calculates the Reynolds stress tensor matrix elements from the 6-beam observations.
 
-lidarwind is a result of an effort to create an environment where it would be flexible and easy to process the observations from the WindCube Doppler lidar. Its development started in 2021 when I had to retrieve wind profiles from the 6-beam observations.
+.. note::
+    Now lidarwind supports data from RPG cloud radars. If you are interested, have a look at Radar usage section.
 
-This current version focuses on the WindCube's observations, and the wind retrievals are dedicated to the 6-beam and DBS observations. However, it can be expanded to other Doppler lidar observations and scanning strategies.
 
+lidarwind is an open-source Python project that retrieves wind speed and direction profiles from Doppler velocity observations recorded by Doppler-capable instruments. Initially, this package was developed to work with observations from the WindCube-200s lidar, but with this new release, lidarwind starts to support data from RPG Cloud Radars. Currently, It can retrieve wind profiles from the PPI, 6-beam and DBS scanning strategies and calculate the Reynolds stress tensor matrix elements from the 6-beam observation. The package can be further extended to process data from other Doppler lidar and radar and from other scanning strategies.
 
--------------
-Documentation
--------------
-
-The lidarwind's documentation is available at https://lidarwind.readthedocs.io. There you can find the steps needed for installing the package. You can also find a short description of how the lidar wind derives the wind speed and direction from WindCube's observations.
-
+lidarwind results from an effort to create a flexible and easy-to-use package to process observations recorded by the WindCube Doppler lidar. The package development started in 2021 when I had to retrieve wind profiles from the 6-beam observations.
 
-Notebooks
-=========
-
-An introductory set of rendered notebooks are available at https://nbviewer.org/github/jdiasn/lidarwind/tree/main/docs/examples/ or at https://github.com/jdiasn/lidarwind/tree/main/docs/examples. If you want to try the package without installing it locally, click on the binder badge above. You will be redirected to a virtual environment where you can also access the same notebooks and test the package.
 
-.. warning::
-
-    Beware that between versions 0.1.6 and 0.2.0, the package underwent significant refactoring. Now the classes' names
-    follow the Pascal case, while module names, functions and attributes follow the snake case. Codes developed using the previous
-    version will need revision.
-
 --------
 Citation
 --------
@@ -59,9 +44,29 @@ Neto, J. D. and Castelão, G. P., (2023). lidarwind: A Python package for retrie
   @article{Neto2023,
   doi = {10.21105/joss.04852},
   url = {https://doi.org/10.21105/joss.04852},
-  year = {2023}, publisher = {The Open Journal},
+  year = {2023}, publisher = {Journal of Open Source Software},
   volume = {8}, number = {82}, pages = {4852},
   author = {José Dias Neto and Guilherme P. Castelao},
   title = {lidarwind: A Python package for retrieving wind profiles from Doppler lidar observations},
   journal = {Journal of Open Source Software}
-  }
+  }
+
+
+
+-------------
+Documentation
+-------------
+
+The lidarwind's documentation is available at https://lidarwind.readthedocs.io. There you can find the steps needed for installing the package. You can also find a short description of how lidarwind derives the wind speed and direction from observations.
+
+
+Notebooks
+=========
+
+An introductory set of rendered notebooks are available at https://nbviewer.org/github/jdiasn/lidarwind/tree/main/docs/examples/ or at https://github.com/jdiasn/lidarwind/tree/main/docs/examples. If you want to try the package without installing it locally, click on the binder badge above. You will be redirected to a virtual environment where you can also access the same notebooks and test the package.
+
+.. warning::
+
+    Beware that between versions 0.1.6 and 0.2.0, the package underwent significant refactoring. Now the classes' names
+    follow the Pascal case, while module names, functions and attributes follow the snake case. Codes developed using the previous
+    version will need revision.

docs/examples/dbs_scans_rendered.ipynb

@@ -823,7 +823,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.13"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,