References

References#

[noa23]

Shared Socioeconomic Pathways. June 2023. Page Version ID: 1159874271. URL: https://en.wikipedia.org/w/index.php?title=Shared_Socioeconomic_Pathways&oldid=1159874271 (visited on 2023-09-06).

[AB12]

John T. Abatzoglou and Timothy J. Brown. A comparison of statistical downscaling methods suited for wildfire applications: STATISTICAL DOWNSCALING FOR WILDFIRE APPLICATIONS. Int. J. Climatol., 32(5):772–780, April 2012. URL: https://onlinelibrary.wiley.com/doi/10.1002/joc.2312 (visited on 2023-05-03), doi:10.1002/joc.2312.

[AS21]

Conor I. Anderson and Karen L. Smith. A narrative approach to building computational capacity for climate change impact assessment in professional master's students. Journal of Open Source Education, 4(46):100, December 2021. URL: https://jose.theoj.org/papers/10.21105/jose.00100 (visited on 2023-09-07), doi:10.21105/jose.00100.

[CSM15]

Alex J. Cannon, Stephen R. Sobie, and Trevor Q. Murdock. Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes? Journal of Climate, 28(17):6938–6959, September 2015. URL: http://journals.ametsoc.org/doi/10.1175/JCLI-D-14-00754.1 (visited on 2022-12-06), doi:10.1175/JCLI-D-14-00754.1.

[CGH+04]

Martyn Clark, Subhrendu Gangopadhyay, Lauren Hay, Balaji Rajagopalan, and Robert Wilby. The Schaake Shuffle: A Method for Reconstructing Space–Time Variability in Forecasted Precipitation and Temperature Fields. J. Hydrometeor, 5(1):243–262, February 2004. URL: http://journals.ametsoc.org/doi/10.1175/1525-7541(2004)005<0243:TSSAMF>2.0.CO;2 (visited on 2023-05-04), doi:10.1175/1525-7541(2004)005<0243:TSSAMF>2.0.CO;2.

[CS20]

CORDEX-SAT. Summary of Regional Climate Change Simulations Available for the CORDEX Domains. November 2020. URL: https://cordex.org/wp-content/uploads/2020/12/Summary_CORDEX_simulations_Nov_2020.pdf.

[FL84]

L. Finkelstein and M. S. Leaning. A review of the fundamental concepts of measurement. Measurement, 2(1):25–34, January 1984. URL: https://www.sciencedirect.com/science/article/pii/0263224184900204 (visited on 2023-09-06), doi:10.1016/0263-2241(84)90020-4.

[FSK21]

E. M. Fischer, S. Sippel, and R. Knutti. Increasing probability of record-shattering climate extremes. Nat. Clim. Chang., 11(8):689–695, August 2021. URL: https://www.nature.com/articles/s41558-021-01092-9 (visited on 2023-09-06), doi:10.1038/s41558-021-01092-9.

[GTA+23]

S.K. Gulev, P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose. Chapter 2: Changing State of the Climate System. In Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, 1 edition, July 2023. URL: https://www.cambridge.org/core/product/identifier/9781009157896/type/book (visited on 2023-09-06), doi:10.1017/9781009157896.

[HBB+20]

Hans Hersbach, Bill Bell, Paul Berrisford, Shoji Hirahara, András Horányi, Joaquín Muñoz‐Sabater, Julien Nicolas, Carole Peubey, Raluca Radu, Dinand Schepers, Adrian Simmons, Cornel Soci, Saleh Abdalla, Xavier Abellan, Gianpaolo Balsamo, Peter Bechtold, Gionata Biavati, Jean Bidlot, Massimo Bonavita, Giovanna Chiara, Per Dahlgren, Dick Dee, Michail Diamantakis, Rossana Dragani, Johannes Flemming, Richard Forbes, Manuel Fuentes, Alan Geer, Leo Haimberger, Sean Healy, Robin J. Hogan, Elías Hólm, Marta Janisková, Sarah Keeley, Patrick Laloyaux, Philippe Lopez, Cristina Lupu, Gabor Radnoti, Patricia Rosnay, Iryna Rozum, Freja Vamborg, Sebastien Villaume, and Jean‐Noël Thépaut. The ERA5 global reanalysis. Q.J.R. Meteorol. Soc., 146(730):1999–2049, July 2020. URL: https://onlinelibrary.wiley.com/doi/10.1002/qj.3803 (visited on 2022-03-16), doi:10.1002/qj.3803.

[HDC08]

H G Hidalgo, M D Dettinger, and D R Cayan. Downscaling with Constructed Analogues: Daily Precipitation and Temperature Fields Over the United States. Technical Report CEC-500-2007-123, California Energy Commission, 2008.

[HCM+18]

James Hiebert, Alex J. Cannon, Trevor Murdock, Stephen Sobie, and Arelia Werner. ClimDown: Climate Downscaling in R. Journal of Open Source Software, 3(22):360, February 2018. URL: https://joss.theoj.org/papers/10.21105/joss.00360 (visited on 2023-09-06), doi:10.21105/joss.00360.

[HHP17]

Jan Hnilica, Martin Hanel, and Vladimír Puš. Multisite bias correction of precipitation data from regional climate models: MULTISITE BIAS CORRECTION. Int. J. Climatol., 37(6):2934–2946, May 2017. URL: https://onlinelibrary.wiley.com/doi/10.1002/joc.4890 (visited on 2023-02-28), doi:10.1002/joc.4890.

[KDP+15]

J. E. Kay, C. Deser, A. Phillips, A. Mai, C. Hannay, G. Strand, J. M. Arblaster, S. C. Bates, G. Danabasoglu, J. Edwards, M. Holland, P. Kushner, J.-F. Lamarque, D. Lawrence, K. Lindsay, A. Middleton, E. Munoz, R. Neale, K. Oleson, L. Polvani, and M. Vertenstein. The Community Earth System Model (CESM) Large Ensemble Project: A Community Resource for Studying Climate Change in the Presence of Internal Climate Variability. Bulletin of the American Meteorological Society, 96(8):1333–1349, August 2015. Publisher: American Meteorological Society Section: Bulletin of the American Meteorological Society. URL: https://journals.ametsoc.org/view/journals/bams/96/8/bams-d-13-00255.1.xml (visited on 2022-03-23), doi:10.1175/BAMS-D-13-00255.1.

[KHM+21]

Rao Kotamarthi, Katharine Hayhoe, Linda O. Mearns, Donald Wuebbles, Jennifer Jacobs, and Jennifer Jurado. Downscaling Techniques for High-Resolution Climate Projections: From Global Change to Local Impacts. Cambridge University Press, Cambridge, 2021. ISBN 978-1-108-47375-0. URL: https://www.cambridge.org/core/books/downscaling-techniques-for-highresolution-climate-projections/C261452F6DECC0372077B7533414CD95 (visited on 2023-09-06), doi:10.1017/9781108601269.

[LSW10]

Haibin Li, Justin Sheffield, and Eric F. Wood. Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching. J. Geophys. Res., 115(D10):D10101, May 2010. URL: http://doi.wiley.com/10.1029/2009JD012882 (visited on 2023-04-28), doi:10.1029/2009JD012882.

[LLWB94]

Xu Liang, Dennis P. Lettenmaier, Eric F. Wood, and Stephen J. Burges. A simple hydrologically based model of land surface water and energy fluxes for general circulation models. Journal of Geophysical Research: Atmospheres, 99(D7):14415–14428, 1994. _eprint: https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/94JD00483. URL: https://onlinelibrary.wiley.com/doi/abs/10.1029/94JD00483 (visited on 2023-09-06), doi:10.1029/94JD00483.

[Mar13]

Douglas Maraun. Bias Correction, Quantile Mapping, and Downscaling: Revisiting the Inflation Issue. Journal of Climate, 26(6):2137–2143, March 2013. URL: http://journals.ametsoc.org/doi/10.1175/JCLI-D-12-00821.1 (visited on 2023-05-03), doi:10.1175/JCLI-D-12-00821.1.

[MHD+10]

E. P. Maurer, H. G. Hidalgo, T. Das, M. D. Dettinger, and D. R. Cayan. The utility of daily large-scale climate data in the assessment of climate change impacts on daily streamflow in California. Hydrol. Earth Syst. Sci., 14(6):1125–1138, June 2010. URL: https://hess.copernicus.org/articles/14/1125/2010/ (visited on 2022-12-07), doi:10.5194/hess-14-1125-2010.

[MHP+11]

Daniel W. McKenney, Michael F. Hutchinson, Pia Papadopol, Kevin Lawrence, John Pedlar, Kathy Campbell, Ewa Milewska, Ron F. Hopkinson, David Price, and Tim Owen. Customized Spatial Climate Models for North America. Bull. Amer. Meteor. Soc., 92(12):1611–1622, December 2011. URL: http://journals.ametsoc.org/doi/10.1175/2011BAMS3132.1 (visited on 2023-09-06), doi:10.1175/2011BAMS3132.1.

[MSH14]

Trevor Q. Murdock, Stephen R. Sobie, and James Hiebert. Statistical downscaling of future climate projections for North America. Technical Report KM040-131148/A, Pacific Climate Impacts Consortium, July 2014. URL: https://www.pacificclimate.org/sites/default/files/publications/PCIC_EC_downscaling_report_2014.pdf.

[SCK+19]

Neil C. Swart, Jason N. S. Cole, Viatcheslav V. Kharin, Mike Lazare, John F. Scinocca, Nathan P. Gillett, James Anstey, Vivek Arora, James R. Christian, Sarah Hanna, Yanjun Jiao, Warren G. Lee, Fouad Majaess, Oleg A. Saenko, Christian Seiler, Clint Seinen, Andrew Shao, Michael Sigmond, Larry Solheim, Knut von Salzen, Duo Yang, and Barbara Winter. The Canadian Earth System Model version 5 (CanESM5.0.3). Geoscientific Model Development, 12(11):4823–4873, November 2019. Publisher: Copernicus GmbH. URL: https://gmd.copernicus.org/articles/12/4823/2019/ (visited on 2023-09-06), doi:10.5194/gmd-12-4823-2019.

[TB18]

Brian H. Tang and Nick P. Bassill. Point Downscaling of Surface Wind Speed for Forecast Applications. Journal of Applied Meteorology and Climatology, 57(3):659–674, March 2018. URL: https://journals.ametsoc.org/view/journals/apme/57/3/jamc-d-17-0144.1.xml (visited on 2022-03-11), doi:10.1175/JAMC-D-17-0144.1.

[WC16]

Arelia T. Werner and Alex J. Cannon. Hydrologic extremes – an intercomparison of multiple gridded statistical downscaling methods. Hydrol. Earth Syst. Sci., 20(4):1483–1508, April 2016. URL: https://hess.copernicus.org/articles/20/1483/2016/ (visited on 2022-12-07), doi:10.5194/hess-20-1483-2016.

[Wil19]

Daniel S. Wilks. Statistical methods in the atmospheric sciences. Number 100 in International geophysics series. Elsevier, Amsterdam, Netherlands ;, fourth edition. edition, 2019. ISBN 978-0-12-816527-0.

[WLSL04]

A. W. Wood, L. R. Leung, V. Sridhar, and D. P. Lettenmaier. Hydrologic Implications of Dynamical and Statistical Approaches to Downscaling Climate Model Outputs. Climatic Change, 62(1-3):189–216, January 2004. URL: http://link.springer.com/10.1023/B:CLIM.0000013685.99609.9e (visited on 2023-05-03), doi:10.1023/B:CLIM.0000013685.99609.9e.

[YW04]

Sheng Yue and ChunYuan Wang. The Mann-Kendall Test Modified by Effective Sample Size to Detect Trend in Serially Correlated Hydrological Series. Water Resources Management, 18(3):201–218, June 2004. URL: http://link.springer.com/10.1023/B:WARM.0000043140.61082.60 (visited on 2023-09-22), doi:10.1023/B:WARM.0000043140.61082.60.

[ZKSP22]

Xuesong Zhang, Paul J. Kushner, Bradley A. Saville, and I. Daniel Posen. Cold Temperature Limits to Biodiesel Use under Present and Future Climates in North America. Environ. Sci. Technol., 56(12):8640–8649, June 2022. Publisher: American Chemical Society. URL: https://doi.org/10.1021/acs.est.2c01699 (visited on 2022-07-06), doi:10.1021/acs.est.2c01699.