Some searches may not work properly. We apologize for the inconvenience.
My bibliography Save this articleProjection of future extreme precipitation: a robust assessment of downscaled daily precipitation
Author
Abstract
Suggested Citation
DOI: 10.1007/s11069-021-04584-1
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Markku Rummukainen, 2010. "State‐of‐the‐art with regional climate models," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 1(1), pages 82-96, January.
- James H. Lambert & Nicholas C. Matalas & Con Way Ling & Yacov Y. Haimes & Duan Li, 1994. "Selection of Probability Distributions in Characterizing Risk of Extreme Events," Risk Analysis, John Wiley & Sons, vol. 14(5), pages 731-742, October.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Zhang, Shuangyi & Li, Xichen, 2021. "Future projections of offshore wind energy resources in China using CMIP6 simulations and a deep learning-based downscaling method," Energy, Elsevier, vol. 217(C).
- Bruno Spilak & Wolfgang Karl Hardle, 2020. "Tail-risk protection: Machine Learning meets modern Econometrics," Papers 2010.03315, arXiv.org, revised Aug 2021.
- Bruno Spilak & Wolfgang Karl Härdle, 2022.
"Tail-Risk Protection: Machine Learning Meets Modern Econometrics,"
Springer Books, in: Cheng-Few Lee & Alice C. Lee (ed.), Encyclopedia of Finance, edition 0, chapter 92, pages 2177-2211,
Springer.
- Spilak, Bruno & Härdle, Wolfgang Karl, 2020. "Tail-risk protection: Machine Learning meets modern Econometrics," IRTG 1792 Discussion Papers 2020-015, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- D A Sachindra & B J C Perera, 2016. "Statistical Downscaling of General Circulation Model Outputs to Precipitation Accounting for Non-Stationarities in Predictor-Predictand Relationships," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-21, December.
- Ulazia, Alain & Sáenz, Jon & Ibarra-Berastegui, Gabriel & González-Rojí, Santos J. & Carreno-Madinabeitia, Sheila, 2017. "Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean," Applied Energy, Elsevier, vol. 208(C), pages 1232-1245.
- Gino D. Marinucci & George Luber & Christopher K. Uejio & Shubhayu Saha & Jeremy J. Hess, 2014. "Building Resilience against Climate Effects—A Novel Framework to Facilitate Climate Readiness in Public Health Agencies," IJERPH, MDPI, vol. 11(6), pages 1-26, June.
More about this item
Keywords
Daily precipitation; Extreme precipitation; Statistical downscaling; Dynamic downscaling; CGCM3; HadCM3; Regional frequency analysis; GP/PDS;All these keywords.
JEL classification:
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:107:y:2021:i:1:d:10.1007_s11069-021-04584-1. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.