Replaced links to ibicus preprint with links to the final published p…

…aper

README.rst

@@ -41,7 +41,7 @@ How to cite
 
 If you are using the package, please consider citing:
 
-Spuler, F. R., Wessel, J. B., Comyn-Platt, E., Varndell, J., and Cagnazzo, C.: ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1), EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1481, 2023.
+Spuler, F. R., Wessel, J. B., Comyn-Platt, E., Varndell, J., and Cagnazzo, C.: ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1), Geosci. Model Dev., 17, 1249–1269, https://doi.org/10.5194/gmd-17-1249-2024, 2024.
 
 
 Contact

docs/source/getting_started/overview.rst

@@ -27,9 +27,9 @@ Even though climate models have gained impressive skill over the recent years, s
 
 Biases could be due to unresolved topography, the parametrization of processes such as convection occurring below grid-cell level, or the misplacement of large-scale atmospheric patterns. Bias adjustment cannot fundamentally address these issues. Rather, bias adjustment calibrates a statistical transfer function between simulated and observed distributional parameters in order to improve (“bias adjust”) the climate model. While bias adjustment can reduce the location-wise bias of the climate model in many cases, the approach is also prone to misuse and can introduce changes in the spatial, temporal and multivariate structure of the climate model as well as the climate change trend. Nevertheless, bias adjustment has de-facto become a standard pre-processing step in climate impact studies.
 
-For a more detailed introduction, as well as an overview of relevant literature on existing methods and issues, we refer to our paper recently published in Geoscientific Model Development:
+For a more detailed introduction, as well as an overview of relevant literature on existing methods and issues, we refer to our paper published in Geoscientific Model Development:
 
-How to cite: Spuler, F. R., Wessel, J. B., Comyn-Platt, E., Varndell, J., and Cagnazzo, C.: ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1), EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1481, 2023.
+How to cite: Spuler, F. R., Wessel, J. B., Comyn-Platt, E., Varndell, J., and Cagnazzo, C.: ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1), Geosci. Model Dev., 17, 1249–1269, https://doi.org/10.5194/gmd-17-1249-2024, 2024.
 
 What is ibicus?
 ---------------
@@ -144,8 +144,7 @@ Cite the package
 
 If you use ibicus for your research, please cite our publication in Geoscientific Model Development:
 
-Spuler, F. R., Wessel, J. B., Comyn-Platt, E., Varndell, J., and Cagnazzo, C.: ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1), EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1481, 2023.
-
+Spuler, F. R., Wessel, J. B., Comyn-Platt, E., Varndell, J., and Cagnazzo, C.: ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1), Geosci. Model Dev., 17, 1249–1269, https://doi.org/10.5194/gmd-17-1249-2024, 2024.
 
 References
 ----------

docs/source/getting_started/whatisdebiasing.rst

@@ -98,6 +98,6 @@ See also
 - Maraun, D. (2013). Bias Correction, Quantile Mapping, and Downscaling: Revisiting the Inflation Issue. In Journal of Climate (Vol. 26, Issue 6, pp. 2137–2143). American Meteorological Society. https://doi.org/10.1175/jcli-d-12-00821.1
 - Maraun, D. Bias Correcting Climate Change Simulations - a Critical Review. Curr Clim Change Rep 2, 211–220 (2016). https://doi.org/10.1007/s40641-016-0050-x
 - Maraun, D., Shepherd, T. G., Widmann, M., Zappa, G., Walton, D., Gutiérrez, J. M., Hagemann, S., Richter, I., Soares, P. M. M., Hall, A., & Mearns, L. O. (2017). Towards process-informed bias correction of climate change simulations. In Nature Climate Change (Vol. 7, Issue 11, pp. 764–773). Springer Science and Business Media LLC. https://doi.org/10.1038/nclimate3418
-- Spuler, F. R., Wessel, J. B., Comyn-Platt, E., Varndell, J., and Cagnazzo, C.: ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1), EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1481, 2023.
+- Spuler, F. R., Wessel, J. B., Comyn-Platt, E., Varndell, J., and Cagnazzo, C.: ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1), Geosci. Model Dev., 17, 1249–1269, https://doi.org/10.5194/gmd-17-1249-2024, 2024.
 - Themeßl, M. J., Gobiet, A., & Heinrich, G. (2011). Empirical-statistical downscaling and error correction of regional climate models and its impact on the climate change signal. In Climatic Change (Vol. 112, Issue 2, pp. 449–468). Springer Science and Business Media LLC. https://doi.org/10.1007/s10584-011-0224-4
 - Vrac, M., & Friederichs, P. (2014). Multivariate—Intervariable, Spatial, and Temporal—Bias Correction*. In Journal of Climate (Vol. 28, Issue 1, pp. 218–237). American Meteorological Society. https://doi.org/10.1175/jcli-d-14-00059.1

docs/source/index.rst

@@ -12,9 +12,9 @@ ibicus implements eight peer-reviewed bias adjustment methods in a common framew
 
 The ibicus documentation presented here provides a detailed overview of the different methods implemented, their default settings and possible modifications in parameters under `Documentation - ibicus.debias <reference/debias.html>`_, as well as a detailed description of the evaluation framework under `Documentation - ibicus.evaluate <reference/debias.html>`_ For a hands-on introduction to the package see our tutorial notebooks.
 
-The documentation also provides a brief introduction to bias adjustment and possible issues with the approach under `Getting started <getting_started>`_. For a more detailed introduction to bias adjustment, as well as an overview of relevant literature on existing methods and issues, we refer to our paper recently published in Geoscientific Model Development:
+The documentation also provides a brief introduction to bias adjustment and possible issues with the approach under `Getting started <getting_started>`_. For a more detailed introduction to bias adjustment, as well as an overview of relevant literature on existing methods and issues, we refer to our paper published in Geoscientific Model Development:
 
-How to cite: Spuler, F. R., Wessel, J. B., Comyn-Platt, E., Varndell, J., and Cagnazzo, C.: ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1), EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1481, 2023.
+How to cite: Spuler, F. R., Wessel, J. B., Comyn-Platt, E., Varndell, J., and Cagnazzo, C.: ibicus: a new open-source Python package and comprehensive interface for statistical bias adjustment and evaluation in climate modelling (v1.0.1), Geosci. Model Dev., 17, 1249–1269, https://doi.org/10.5194/gmd-17-1249-2024, 2024.
 
 Documentation
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