doc(rst,changelog): fixes trailing, updates changelog

Author: spjuhel

CHANGELOG.md

@@ -26,6 +26,7 @@ Removed:
 - `Hazard.local_exceedance_intensity`, `Hazard.local_return_period` and `Impact.local_exceedance_impact`, `Impact.local_return_period`, using the `climada.util.interpolation` module: New default (no binning), binning on decimals, and faster implementation [#1012](https://github.com/CLIMADA-project/climada_python/pull/1012)
 - World Bank indicator data is now downloaded directly from their API via the function `download_world_bank_indicator`, instead of relying on the `pandas-datareader` package [#1033](https://github.com/CLIMADA-project/climada_python/pull/1033)
 - `Exposures.write_hdf5` pickles geometry data in WKB format, which is faster and more sustainable. [#1051](https://github.com/CLIMADA-project/climada_python/pull/1051)
+- The online documentation has been completely overhauled, now uses PyData theme: [#977](https://github.com/CLIMADA-project/climada_python/pull/977)
 
 ### Fixed
 

doc/user-guide/hazard.rst

@@ -2,7 +2,7 @@
 Hazard Tutorials
 ================
 
-These guides present the `Hazard` class as well as subclasses 
+These guides present the `Hazard` class as well as subclasses
 that handle tropical cyclones and winter storms more specifically.
 
 .. toctree::

doc/user-guide/impact.rst

@@ -2,10 +2,10 @@
 Impact Tutorials
 ================
 
-These tutorials show how to compute impacts with CLIMADA, and all related aspects such 
+These tutorials show how to compute impacts with CLIMADA, and all related aspects such
 as impact functions, adaptation measures and discount rates and cost-benefit analysis.
 
-The first tutorial presents an end-to-end impact calculation, 
+The first tutorial presents an end-to-end impact calculation,
 and subsequent ones present each aspect in more details.
 
 Additionally you can find a guide on how to populate impact data from EM-DAT database.