📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Investigation of probabilistic, deterministic and hybrid models for improved characterisation of hydrological extremes across varying temporal scales (2022)

First Author: Curceac S

Attributed to: The North Wyke Farm Platform- National Capability funded by BBSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.17635/lancaster/thesis/1529

Publication URI: http://www.research.lancs.ac.uk/portal/en/publications/investigation-of-probabilistic-deterministic-and-hybrid-models-for-improved-characterisation-of-hydrological-extremes-across-varying-temporal-scales(68b951b6-1887-4577-a25f-4c61690136b1).html

Type: Other