Update references (#326)

Author: dnerini

CITATION.bib

@@ -9,3 +9,14 @@ @Article{gmd-12-4185-2019
   URL = {https://gmd.copernicus.org/articles/12/4185/2019/},
   DOI = {10.5194/gmd-12-4185-2019}
 }
+@article{qj.4461,
+  AUTHOR = {Imhoff, Ruben O. and De Cruz, Lesley and Dewettinck, Wout and Brauer, Claudia C. and Uijlenhoet, Remko and van Heeringen, Klaas-Jan and Velasco-Forero, Carlos and Nerini, Daniele and Van Ginderachter, Michiel and Weerts, Albrecht H.},
+  TITLE = {Scale-dependent blending of ensemble rainfall nowcasts and NWP in the open-source pysteps library},
+  JOURNAL = {Quarterly Journal of the Royal Meteorological Society},
+  VOLUME = {n/a},
+  NUMBER = {n/a},
+  YEAR = {},
+  DOI = {https://doi.org/10.1002/qj.4461},
+  URL = {https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.4461},
+}
+

README.rst

@@ -138,15 +138,21 @@ To get access to it, you need to ask for an invitation or you can use this `auto
 Reference publications
 ======================
 
+The overall library is described in
+
 Pulkkinen, S., D. Nerini, A. Perez Hortal, C. Velasco-Forero, U. Germann,
 A. Seed, and L. Foresti, 2019:  Pysteps:  an open-source Python library for
 probabilistic precipitation nowcasting (v1.0). *Geosci. Model Dev.*, **12 (10)**,
-4185–4219, `doi:10.5194/gmd-12-4185-2019 <https://doi.org/10.5194/gmd-12-4185-2019>`_.
+4185–4219, doi:`10.5194/gmd-12-4185-2019 <https://doi.org/10.5194/gmd-12-4185-2019>`_.
+
+While the more recent blending module is described in
+
+Imhoff, R.O., L. De Cruz, W. Dewettinck, C.C. Brauer, R. Uijlenhoet, K-J. van Heeringen, 
+C. Velasco-Forero, D. Nerini, M. Van Ginderachter, and A.H. Weerts, 2023:
+Scale-dependent blending of ensemble rainfall nowcasts and NWP in the open-source
+pysteps library. *Q J R Meteorol Soc.*, Accepted Author Manuscript,
+doi: `10.1002/qj.4461 <https://doi.org/10.1002/qj.4461>`_.
 
-Pulkkinen, S., D. Nerini, A. Perez Hortal, C. Velasco-Forero, U. Germann, A. Seed, and
-L. Foresti, 2019: pysteps - a Community-Driven Open-Source Library for Precipitation Nowcasting.
-*Poster presented at the 3rd European Nowcasting Conference, Madrid, ES*,
-`doi:10.13140/RG.2.2.31368.67840 <https://doi.org/10.13140/RG.2.2.31368.67840>`_.
 
 Contributors
 ============

doc/source/index.rst

@@ -9,14 +9,20 @@ The focus is on probabilistic nowcasting of radar precipitation fields,
 but pysteps is designed to allow a wider range of uses.
 
 Pysteps is actively developed on GitHub__, while a more thorough description
-of pysteps is available in the pysteps reference publication:
+of pysteps is available in the pysteps reference publications:
 
 .. note::
    Pulkkinen, S., D. Nerini, A. Perez Hortal, C. Velasco-Forero, U. Germann,
    A. Seed, and L. Foresti, 2019:  Pysteps:  an open-source Python library for
    probabilistic precipitation nowcasting (v1.0). *Geosci. Model Dev.*, **12 (10)**,
    4185–4219, doi:`10.5194/gmd-12-4185-2019 <https://doi.org/10.5194/gmd-12-4185-2019>`_.
 
+   Imhoff, R.O., L. De Cruz, W. Dewettinck, C.C. Brauer, R. Uijlenhoet, K-J. van Heeringen, 
+   C. Velasco-Forero, D. Nerini, M. Van Ginderachter, and A.H. Weerts, 2023:
+   Scale-dependent blending of ensemble rainfall nowcasts and NWP in the open-source
+   pysteps library. *Q J R Meteorol Soc.*, Accepted Author Manuscript,
+   doi: `doi:10.1002/qj.4461 <https://doi.org/10.1002/qj.4461>`_.
+
 __ https://github.com/pySTEPS/pysteps
 
 .. toctree::