A class of hidden Markov models for regional average rainfall
- Submitting institution
-
University of Greenwich
- Unit of assessment
- 12 - Engineering
- Output identifier
- 14631
- Type
- D - Journal article
- DOI
-
10.1080/02626667.2014.881484
- Title of journal
- Hydrological Sciences Journal
- Article number
- -
- First page
- 1704
- Volume
- 59
- Issue
- 9
- ISSN
- 2150-3435
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The modelling of regional rainfall at daily time scale is an important area of research, as the daily rainfall sequence is one of the key inputs into hydrological models that are used to understand and manage water resources, environmental and ecological systems. The proposed additional dependence hidden Markov models provide the environmental scientists with a useful tool to help quantify uncertainty and assess risk in environmental systems associated with climate variability. The research work presented in this paper led to further collaboration with researchers at Imperial College London which resulted in new research work and output on fine-scale rainfall modelling.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
