'Automated update v4.1.0'

CHANGELOG.md

@@ -1,12 +1,8 @@
 # Changelog
 
-## Unreleased
+## 4.1.0
 
-Release date: YYYY-MM-DD
-
-Code freeze date: YYYY-MM-DD
-
-### Description
+Release date: 2024-02-19
 
 ### Dependency Changes
 
@@ -20,21 +16,13 @@ Added:
 - `osm-flex` >=1.1.1
 - `pymrio` >=0.5
 
-### Added
-
 ### Changed
 
 - Restructured `Supplychain` module, which now uses `pymrio` to download and handle multi-regional input output tables [#66](https://github.com/CLIMADA-project/climada_petals/pull/66)
 - Restructured `openstreetmap` module to draw functionalities from external package osm-flex [#103](https://github.com/CLIMADA-project/climada_petals/pull/103)
 - As part of `climada_petals.hazard.tc_rainfield`, implement a new, physics-based TC rain model ("TCR") in addition to the existing implementation of the purely statistical R-CLIPER model ([#85](https://github.com/CLIMADA-project/climada_petals/pull/85))
 - Conda environment now avoids `default` channel packages, as these are incompatible to conda-forge [#110](https://github.com/CLIMADA-project/climada_petals/pull/110)
 
-### Fixed
-
-### Deprecated
-
-### Removed
-
 ## 4.0.2
 
 Release date: 2023-09-27

climada_petals/_version.py

@@ -1 +1 @@
-__version__ = '4.0.3-dev'
+__version__ = '4.1.0'

doc/misc/README.md

@@ -15,7 +15,16 @@ This is the Python (3.8+) version of CLIMADA - please see https://github.com/dav
 
 ## Getting started
 
-CLIMADA runs on Windows, macOS and Linux. It can be installed from sources or - in case of climada_python - directly with pip. See the [installation guide](https://climada-python.readthedocs.io/en/latest/guide/install.html) for instructions.
+CLIMADA runs on Windows, macOS and Linux.
+The released versions of CLIMADA are available from [conda-forge](https://anaconda.org/conda-forge/climada-petals).
+Use the [Mamba](https://mamba.readthedocs.io/en/latest/) package manager to install it:
+
+```shell
+mamba install -c conda-forge climada-petals
+```
+
+It is **highly recommended** to install CLIMADA into a **separate** Conda environment.
+See the [installation guide](https://climada-python.readthedocs.io/en/latest/guide/install.html) for further information.
 
 Follow the [tutorial](https://climada-python.readthedocs.io/en/latest/tutorial/1_main_climada.html) `climada_python-x.y.z/doc/tutorial/1_main_climada.ipynb` in a Jupyter Notebook to see what can be done with CLIMADA and how.
 

setup.py

@@ -13,7 +13,7 @@
 setup(
     name='climada_petals',
 
-    version='4.0.3-dev',
+    version='4.1.0',
 
     description='CLIMADA Extensions in Python',