Update readme file to reflect all data sources for CORDEX version

[nhsavage]

As part of moving the notebooks towards a focus on CORDEX-Core we need to ensure we acknowlege all data providers and remove the focus on the PRECIS model

[hsteptoe]

List of individual CORDEX citations, sourced from here: https://confluence.ecmwf.int/display/CKB/CORDEX%3A+Regional+climate+projections#CORDEX:Regionalclimateprojections-References

AFR-CORDEX:

• Nikulin G, Lennard C, Dosio A, et al. (2018) The effects of 1.5 and 2 degrees of global warming on Africa in the CORDEX ensemble, Environ. Res. Lett., doi:10.1088/1748-9326/aab2b4, http://iopscience.iop.org/article/10.1088/1748-9326/aab1b1
• Nikulin G., Jones, C. , Giorgi, F., et al. (2013) Precipitation Climatology in An Ensemble of CORDEX-Africa Regional Climate Simulations, J. Climate, 25, 6057–6078. http://doi.org/10.1175/JCLI-D-11-00375.1

ANT-CORDEX:

• Kittel, C., Amory, C., Agosta, C., et al. (2021): Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet, The Cryosphere, 15, 1215–1236, https://doi.org/10.5194/tc-15-1215-2021.
• Lenaerts, J. T. M., van den Broeke, M. R., van de Berg, W. J., van Meijgaard, E., and Kuipers Munneke, P. (2012), A new, high-resolution surface mass balance map of Antarctica (1979–2010) based on regional atmospheric climate modeling, Geophys. Res. Lett., 39, L04501, https://www.doi.org/10.1029/2011GL050713
• Mottram, R., Hansen, N., Kittel, C., et al. (2020) What is the Surface Mass Balance of Antarctica? An Intercomparison of Regional Climate Model Estimates, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2019-333

ARC-CORDEX:

• Inoue, J., Sato, K., Rinke, A., et al. (2021) Clouds and radiation processes in regional climate models evaluated using observations over the ice‐free Arctic Ocean, J. Geophys. Res. Atm., 126, e2020JD033904, http://doi.org/10.1029/2020JD033904
• Sedlar, J., M. Tjernström, A. Rinke, et al. (2020) Confronting Arctic troposphere, clouds and surface energy budget representations in regional climate models with observations, J. Geophys. Res. Atm., 124, http://doi.org/10.1029/2019JD031783
• Akperov, M., A. Rinke, I.I. Mokhov, et al. (2019) Future projections of cyclone activity in the Arctic for the 21st century from regional climate models (Arctic-CORDEX), Glob. Planet. Change, http://doi.org/10.1016/j.gloplacha.2019.103005
• Diaconescu, E.P., Mailhot, A., Brown, R. et al. (2018) Evaluation of CORDEX-Arctic daily precipitation and temperature-based climate indices over Canadian Arctic land areas, Clim. Dyn., 50, 2061–2085, doi:doi.org/10.1007/s00382-017-3736-4

AUS-CORDEX:

• Di Virgilio, G., Evans, J.P., Di Luca, A. et al. (2019) Evaluating reanalysis-driven CORDEX regional climate models over Australia: model performance and errors. Clim Dyn 53, 2985–3005. https://doi.org/10.1007/s00382-019-04672-w
• Evans, J.P., Di Virgilio, G., Hirsch, A.L. et al. (2020) The CORDEX-Australasia ensemble: evaluation and future projections. Clim Dyn. https://doi.org/10.1007/s00382-020-05459-0
• Di Virgilio, G., Evans, J.P., Di Luca, A. et al. (2020) Realised added value in dynamical downscaling of Australian climate change. Clim Dyn 54, 4675–4692. https://doi.org/10.1007/s00382-020-05250-1

CAM-CORDEX:

• Cavazos, T, Luna-Niño, R, Cerezo-Mota, R, et al. (2020) Climatic trends and regional climate models intercomparison over the CORDEX-CAM (Central America, Caribbean, and Mexico) domain. Int J Climatol.; 40: 1396– 1420. https://doi.org/10.1002/joc.6276
• Luna-Niño, R., Cavazos, T., Torres-Alavez, J.A. et al. (2020) Interannual variability of the boreal winter subtropical jet stream and teleconnections over the CORDEX-CAM domain during 1980–2010. Clim Dyn. https://doi.org/10.1007/s00382-020-05509-7

CAS-CORDEX:

• Top, S., Kotova, L., De Cruz, L., et al. (2021) Evaluation of regional climate models ALARO-0 and REMO2015 at 0.22° resolution over the CORDEX Central Asia domain, Geosci. Model Dev., 14, 1267–1293, https://doi.org/10.5194/gmd-14-1267-2021
• Ozturk, T., Turp, M. T., Türkeş, M., & Kurnaz, M. L. (2017). Projected changes in temperature and precipitation climatology of Central Asia CORDEX Region 8 by using RegCM4.3.5. Atmospheric Research, 183, 296–307. https://doi.org/10.1016/j.atmosres.2016.09.008

EAS-CORDEX:

• Sun, H., Wang, A. et al (2018) Impacts of global warming of 1.5°C and 2.0°C on precipitation patterns in China by regional climate model (COSMO-CLM). Atmos Res 203:83–94. https://doi.org/10.1016/j.atmosres.2017.10.024
• Teichmann, C., Jacob, D., Remedio, A.R. et al. (2020) Assessing mean climate change signals in the global CORDEX-CORE ensemble. Clim Dyn. https://doi.org/10.1007/s00382-020-05494-x

EURO-CORDEX:

• Kotlarski, S., Keuler, K., Christensen, O. B., et al. (2014) Regional climate modeling on European scales: a joint standard evaluation of the EURO-CORDEX RCM ensemble, Geosci. Model Dev., 7, 1297–1333, https://doi.org/10.5194/gmd-7-1297-2014
• Jacob, D., Teichmann, C., Sobolowski, S. et al. (2020) Regional climate downscaling over Europe: perspectives from the EURO-CORDEX community. Reg Environ Change 20, 51. https://doi.org/10.1007/s10113-020-01606-9
• Christensen, O.B., Kjellström, E. Partitioning uncertainty components of mean climate and climate change in a large ensemble of European regional climate model projections. Clim Dyn (2020). https://doi.org/10.1007/s00382-020-05229-y
• Sørland SL, Schär C, Lüthi D, Kjellström E (2018) Bias patterns and climate change signals in GCM-RCM model chains. Environ Res Lett 13(7):074017. https://doi.org/10.1088/1748-9326/aacc77
• Coppola E., Nogherott o R. , Ciarlò J.M. et al . (2021) Assessment of the European climate projections as simulated by the large EURO-CORDEX regional and global climate model ensemble. Journal of Geophysical Research – Atmospheres, https:// doi.org/ 10.1029/2019JD032356
• V autard R., Kadygro v N. , Ile s C. et al. (2021) Evaluation of the large EURO-CORDEX regional climate model ensemble . Journal of Geophysical Research – Atmospheres, https:// doi.org/10.1029/2019JD032344

MED-CORDEX:

• Ruti PM, Somot S, Giorgi F, et al. (201 6 ) MED-CORDEX initiative for Mediterranean Climate studies. Bull. Amer. Meteor. Soc. , 97(7), 1187-1208, July 2016, doi: http://dx.doi.org/10.1175/BAMS-D-14-00176.1, http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-14-00176.1
• Somot S., Ruti P., Ahrens B. et al. (2018 ). Editorial for the Med-CORDEX Special Issue. Clim. Dyn. 51(3):771-777, doi : 10.1007/s00382-018-4325-x, https://link.springer.com/article/10.1007/s00382-018-4325-x
• Med-CORDEX Special Issue, Climate Dynamics, volume 51, issue 3, 2018; https://link.springer.com/journal/382/volumes-and-issues/51-3

MENA-CORDEX:

• Zittis, G., Hadjinicolaou, P. and Lelieveld, J. (2014) Comparison of WRF Model Physics Parameterizations over the MENA-CORDEX Domain. American Journal of Climate Change, 3, 490-511. http://doi.org/10.4236/ajcc.2014.35042
• Almazroui, M. (2016) RegCM4 in climate simulation over CORDEX-MENA/Arab domain: selection of suitable domain, convection and land-surface schemes. Int. J. Climatol., 36: 236-251. https://doi.org/10.1002/joc.4340
• Bucchignani, E., Mercogliano, P., Rianna, G. and Panitz, H.-J. (2016) Analysis of ERA-Interim- driven COSMO-CLM simulations over Middle East – North Africa domain at different spatial resolutions. Int. J. Climatol., 36: 3346–3369. http://doi.org/10.1002/joc.4559

NAM-CORDEX:

• Bukovsky, M. S., and Mearns, L. O. (2020). Regional climate change projections from NA-CORDEX and their relation to climate sensitivity. Clim. Change 162, 645–665. https://link.springer.com/article/10.1007%2Fs10584-020-02835-x

SAM-CORDEX:

• Blázquez, J., Silvina, A.S. Multiscale precipitation variability and extremes over South America: analysis of future changes from a set of CORDEX regional climate model simulations. Clim Dyn 55, 2089–2106 (2020). https://doi.org/10.1007/s00382-020-05370-8
• Llopart, M., Simões Reboita, M. & Porfírio da Rocha, R. Assessment of multi-model climate projections of water resources over South America CORDEX domain. Clim Dyn 54, 99–116 (2020). https://doi.org/10.1007/s00382-019-04990-z
• Solman, S.A., Blázquez, J. Multiscale precipitation variability over South America: Analysis of the added value of CORDEX RCM simulations. Clim Dyn 53, 1547–1565 (2019). https://doi.org/10.1007/s00382-019-04689-1
• Falco, M., Carril, A.F., Menéndez, C.G. et al. Assessment of CORDEX simulations over South America: added value on seasonal climatology and resolution considerations. Clim Dyn 52, 4771–4786 (2019). https://doi.org/10.1007/s00382-018-4412-z

WAS-CORDEX:

• Sanjay J, Krishnan R, Shrestha AB, Rajbhandari R, Ren G-Y (2017) Downscaled climate change projections for the Hindu Kush Himalayan region using CORDEX South Asia regional climate models. Adv Clim Chang Res 8(3):185–198, https://doi.org/10.1016/j.accre.2017.08.003

SEA-CORDEX:

• Tangang, F., Chung, J.X., Juneng, L. et al. (2020) Projected future changes in rainfall in Southeast Asia based on CORDEX–SEA multi-model simulations. Clim Dyn 55, 1247–1267. https://doi.org/10.1007/s00382-020-05322-2
• CORDEX-CORE (comprehensive and homogeneous projections across almost all CORDEX domains with 0.22º resolution):
• Teichmann, C., Jacob, D., Remedio, A.R. et al. (2020) Assessing mean climate change signals in the global CORDEX-CORE ensemble. Clim Dyn. https://doi.org/10.1007/s00382-020-05494-x
• Coppola, E., Raffaele, F., Giorgi, F. et al. (2021) Climate hazard indices projections based on CORDEX-CORE, CMIP5 and CMIP6 ensemble. Clim Dyn. https://doi.org/10.1007/s00382-021-05640-z

[hsteptoe]

I can't find any recommended acknowledgement text, but maybe a generic statement like:

The PyPRECIS developers acknowledge the work of the WCRP Coordinated Regional Climate Downscaling Experiment (CORDEX) and data from each of the CORDEX model partners who make their data open available via the globally distributed Earth System Grid Federation (ESGF) archives

We might need to further acknowledge CEDA and their support from NERC, STFC and IS-ENES...?