Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
A climate-conditioned catastrophe risk model for UK flooding
by
Quinn, Niall
, Bates, Paul D.
, Wing, Oliver
, Neal, Jeffrey
, Smith, Andrew
, Sampson, Christopher
, Savage, James
in
Carbon
/ Carbon emissions
/ Climate
/ Climate change
/ Climate models
/ Climate sensitivity
/ Climatic conditions
/ Coastal flooding
/ Coasts
/ Datasets
/ Emergency preparedness
/ Emissions (Pollution)
/ Emissions control
/ Environmental risk
/ Flood mapping
/ Flood risk
/ Floods
/ Global warming
/ Hydraulics
/ Investments
/ Mapping
/ Metadata
/ Modelling
/ Net zero
/ Probability theory
/ Rain
/ Risk assessment
/ Root-mean-square errors
/ Spatial discrimination
/ Spatial resolution
/ Storm damage
/ United Kingdom
/ Water levels
2023
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A climate-conditioned catastrophe risk model for UK flooding
by
Quinn, Niall
, Bates, Paul D.
, Wing, Oliver
, Neal, Jeffrey
, Smith, Andrew
, Sampson, Christopher
, Savage, James
in
Carbon
/ Carbon emissions
/ Climate
/ Climate change
/ Climate models
/ Climate sensitivity
/ Climatic conditions
/ Coastal flooding
/ Coasts
/ Datasets
/ Emergency preparedness
/ Emissions (Pollution)
/ Emissions control
/ Environmental risk
/ Flood mapping
/ Flood risk
/ Floods
/ Global warming
/ Hydraulics
/ Investments
/ Mapping
/ Metadata
/ Modelling
/ Net zero
/ Probability theory
/ Rain
/ Risk assessment
/ Root-mean-square errors
/ Spatial discrimination
/ Spatial resolution
/ Storm damage
/ United Kingdom
/ Water levels
2023
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
A climate-conditioned catastrophe risk model for UK flooding
by
Quinn, Niall
, Bates, Paul D.
, Wing, Oliver
, Neal, Jeffrey
, Smith, Andrew
, Sampson, Christopher
, Savage, James
in
Carbon
/ Carbon emissions
/ Climate
/ Climate change
/ Climate models
/ Climate sensitivity
/ Climatic conditions
/ Coastal flooding
/ Coasts
/ Datasets
/ Emergency preparedness
/ Emissions (Pollution)
/ Emissions control
/ Environmental risk
/ Flood mapping
/ Flood risk
/ Floods
/ Global warming
/ Hydraulics
/ Investments
/ Mapping
/ Metadata
/ Modelling
/ Net zero
/ Probability theory
/ Rain
/ Risk assessment
/ Root-mean-square errors
/ Spatial discrimination
/ Spatial resolution
/ Storm damage
/ United Kingdom
/ Water levels
2023
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
A climate-conditioned catastrophe risk model for UK flooding
Journal Article
A climate-conditioned catastrophe risk model for UK flooding
2023
Request Book From Autostore
and Choose the Collection Method
Overview
We present a transparent and validated climate-conditioned catastrophe flood model for the UK, that simulates pluvial, fluvial and coastal flood risks at 1 arcsec spatial resolution (∼ 20–25 m). Hazard layers for 10 different return periods are produced over the whole UK for historic, 2020, 2030, 2050 and 2070 conditions using the UK Climate Projections 2018 (UKCP18) climate simulations. From these, monetary losses are computed for five specific global warming levels above pre-industrial values (0.6, 1.1, 1.8, 2.5 and 3.3 ∘C). The analysis contains a greater level of detail and nuance compared to previous work, and represents our current best understanding of the UK's changing flood risk landscape. Validation against historical national return period flood maps yielded critical success index values of 0.65 and 0.76 for England and Wales, respectively, and maximum water levels for the Carlisle 2005 flood were replicated to a root mean square error (RMSE) of 0.41 m without calibration. This level of skill is similar to local modelling with site-specific data. Expected annual damage in 2020 was GBP 730 million, which compares favourably to the observed value of GBP 714 million reported by the Association of British Insurers. Previous UK flood loss estimates based on government data are ∼ 3× higher, and lie well outside our modelled loss distribution, which is plausibly centred on the observations. We estimate that UK 1 % annual probability flood losses were ∼ 6 % greater for the average climate conditions of 2020 (∼ 1.1 ∘C of warming) compared to those of 1990 (∼ 0.6 ∘C of warming), and this increase can be kept to around ∼ 8 % if all countries' COP26 2030 carbon emission reduction pledges and “net zero” commitments are implemented in full. Implementing only the COP26 pledges increases UK 1 % annual probability flood losses by 23 % above average 1990 values, and potentially 37 % in a “worst case” scenario where carbon reduction targets are missed and climate sensitivity is high.
MBRLCatalogueRelatedBooks
Related Items
Related Items
This website uses cookies to ensure you get the best experience on our website.