fixed typos noted by nishadhka

Author: ValentinGebhart

CONTRIBUTING.md

@@ -6,7 +6,7 @@ This section summarizes how to contribute and where to find details. We adopt th
 We follow the CLIMADA workflow (branching, tests, reviews). Please read the CLIMADA guide:
 https://climada-python.readthedocs.io/en/latest/development/index.html  
 Typical steps: fork → branch → tests → pull request.
-For extended resorces for CLIMADA Development visit https://climada-python.readthedocs.io/en/latest/development/Guide_CLIMADA_Development.html
+For extended resources for CLIMADA Development visit https://climada-python.readthedocs.io/en/latest/development/Guide_CLIMADA_Development.html
 
 ### 2) Report issues or problems
 **[Open an issue](https://github.com/DahyannAraya/copernicus-seasonal-forecast-tools/issues/new/choose)**. Please include: a description, minimal example, expected vs. actual behavior, version info (package, Python, OS), and any logs/traceback.

README.md

@@ -16,7 +16,7 @@
 This repository hosts the **copernicus-seasonal-forecast-tools**, a Python package developed to manage seasonal forecast data from the [Copernicus Climate Data Store (CDS)](https://cds.climate.copernicus.eu/) as part of the [U-CLIMADAPT project](https://www.dwd.de/EN/research/projects/socioeconomics/fpcup_u_climadapt/fpcup_u_climadapt.html).
 
 It offers comprehensive tools for downloading, processing, computing climate indices, and generating hazard objects based on seasonal forecast datasets, particularly [Seasonal forecast daily and subdaily data on single levels](https://cds.climate.copernicus.eu/datasets/seasonal-original-single-levels?tab=overview).
-The packge is tailored to integrate seamlessly with the [CLIMADA](https://climada.ethz.ch/) (CLIMate ADAptation) platform, supporting climate risk assessment and the development of effective adaptation strategies.
+The package is tailored to integrate seamlessly with the [CLIMADA](https://climada.ethz.ch/) (CLIMate ADAptation) platform, supporting climate risk assessment and the development of effective adaptation strategies.
 
 Users can:
 - Automatically download of high-resolution seasonal forecast data via the CDS API
@@ -53,13 +53,13 @@ Below we describe the installation using the package manager and environment man
 
 ```bash
 conda create -n copernicus_with python=3.11 pip climada
-conda activate conernicus_with
+conda activate copernicus_with
 pip install copernicus-seasonal-forecast-tools
 ```
 ### 2. To install the package WITHOUT the climate-risk assessment package CLIMADA:
 ```bash
 conda create -n copernicus_without python=3.11 pip geopandas
-conda activate conernicus_without
+conda activate copernicus_without
 pip install copernicus-seasonal-forecast-tools
 ```
 ### 3. To install the package in DEVELOPER (editable) mode, and run the documentation and tests:

docs/source/index.rst

@@ -63,7 +63,7 @@ For a quick start, install the package and its requirements
 .. code-block:: bash
 
    conda create -n copernicus_with python=3.11 pip climada
-   conda activate conernicus_with
+   conda activate copernicus_with
    pip install copernicus-seasonal-forecast-tools
 
 For detailed installation instructions, see :doc:`Installation <installation>`.

docs/source/installation.rst

@@ -34,15 +34,15 @@ To install the package **with** the climate-risk assessment package CLIMADA:
 .. code-block:: bash
 
    conda create -n copernicus_with python=3.11 pip climada
-   conda activate conernicus_with
+   conda activate copernicus_with
    pip install copernicus-seasonal-forecast-tools
 
 To install the package **without** the climate-risk assessment package CLIMADA:
 
 .. code-block:: bash
 
    conda create -n copernicus_without python=3.11 pip geopandas
-   conda activate conernicus_without
+   conda activate copernicus_without
    pip install copernicus-seasonal-forecast-tools
 
 To install the package **in developer (editable) mode**, and run the documentation and tests:

docs/source/modules.rst

@@ -42,7 +42,7 @@ This section provides links to external resources related to data sources and pr
 
 - `CLIMADA <https://climada.ethz.ch/>`_
 - `CLIMADA Documentation <https://climada-python.readthedocs.io/en/stable/>`_
-- `Copernicus Seasonal Forecas Tools package on CLIMADA <https://climada-python.readthedocs.io/en/latest/user-guide/climada_hazard_copernicus_seasonal_forecast.html>`_
+- `Copernicus Seasonal Forecast Tools package on CLIMADA <https://climada-python.readthedocs.io/en/latest/user-guide/climada_hazard_copernicus_seasonal_forecast.html>`_
 - `Copernicus Seasonal Forecast Tools Package <https://github.com/DahyannAraya/copernicus-seasonal-forecast-tools>`_
 
 **Demonstration Notebooks**

pyproject.toml

@@ -7,7 +7,7 @@ name = "copernicus-seasonal-forecast-tools"
 version = "0.1.2"
 description = "CLIMADA-compatible module for generating and analyzing seasonal forecast hazards from Copernicus data"
 license = "GPL-3.0-or-later"
-requires-python = ">=3.10,<3.12"
+requires-python = ">=3.10,<3.13"
 dependencies = [
     "xarray",
     "cfgrib",