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Update references #326

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11 changes: 11 additions & 0 deletions CITATION.bib
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Expand Up @@ -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},
}

16 changes: 11 additions & 5 deletions README.rst
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Expand Up @@ -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
============
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8 changes: 7 additions & 1 deletion doc/source/index.rst
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Expand Up @@ -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::
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