ACID-PRUF

Lead Research Organisation: University of Exeter
Department Name: Engineering Computer Science and Maths

Abstract

Project SINATRA responds to the NERC call for research on flooding from intense rainfall (FFIR) with a programme of focused research designed to advance general scientific understanding of the processes determining the probability, incidence, and impacts of FFIR.

Such extreme rainfall events may only last for a few hours at most, but can generate terrifying and destructive floods. Their impact can be affected by a wide range factors (or processes) such as the location and intensity of the rainfall, the shape and steepness of the catchment it falls on, how much sediment is moved by the water and the vulnerability of the communities in the flood's path. Furthermore, FFIR are by their nature rapid, making it very difficult for researchers to 'capture' measurements during events. The complexity, speed and lack of field measurements on FFIR make it difficult to create computer models to predict flooding and often we are uncertain as to their accuracy.

To address these issues, NERC launched the FFIR research programme. It aims to reduce the risks from surface water and flash floods by improving our identification and prediction of the meteorological (weather), hydrological (flooding) and hydro-morphological (sediment and debris moved by floods) processes that lead to FFIR. A major requirement of the programme is identifying how particular catchments may be vulnerable to FFIR, due to factors such as catchment area, shape, geology and soil type as well as land-use. Additionally, the catchments most susceptible to FFIR are often small and ungauged.

Project SINATRA will address these issues in three stages: Firstly increasing our understanding of what factors cause FFIR and gathering new, high resolution measurements of FFIR; Secondly using this new understanding and data to improve models of FFIR so we can predict where they may happen - nationwide and; Third to use these new findings and predictions to provide the Environment Agency and over professionals with information and software they can use to manage FFIR, reducing their damage and impact to communities.
In more detail, we will:
1. Enhance scientific understanding of the processes controlling FFIR, by-
(a) assembling an archive of past FFIR events in Britain and their impacts, as a prerequisite for improving our ability to predict future occurrences of FFIR.
(b) making real time observations of flooding during flood events as well as post-event surveys and historical event reconstruction, using fieldwork and crowd-sourcing methods.
(c) characterising the physical drivers for UK summer flooding events by identifying the large-scale atmospheric conditions associated with FFIR events, and linking them to catchment type.
2. Develop improved computer modelling capability to predict FFIR processes, by-
(a) employing an integrated catchment/urban scale modelling approach to FFIR at high spatial and temporal scales, modelling rapid catchment response to flash floods and their impacts in urban areas.
(b) scaling up to larger catchments by improving the representation of fast riverine and surface water flooding and hydromorphic change (including debris flow) in regional scale models of FFIR.
(c) improving the representation of FFIR in the JULES land surface model by integrating river routing and fast runoff processes, and performing assimilation of soil moisture and river discharge into the model run.
3. Translate these improvements in science into practical tools to inform the public more effectively, by-
(a) developing tools to enable prediction of future FFIR impacts to support the Flood Forecasting Centre in issuing new 'impacts-based' warnings about their occurrence.
(b) developing a FFIR analysis tool to assess risks associated with rare events in complex situations involving incomplete knowledge, analogous to those developed for safety assessment in radioactive waste management.

In so doing SINATRA will achieve NERC's science goals for the FFIR programme.

Planned Impact

SINATRA will deliver a number of important benefits for our immediate UK project partners and for the wider public, who will ultimately be served by more effective flood forecasting and management systems, both in the UK and beyond.

SINATRA will help the Met Office, the Environment Agency, and their joint Flood Forecasting Centre (FFC) meet the demands of the Pitt Review (2008: vii) for a "a step change in the quality of flood warnings" and in their capacity to forecast groundwater, surface water and other kinds of flooding from intense rainfall (FFIR).

Beyond the UK, SINATRA's findings will also be of benefit to forecasters dealing with similar challenges elsewhere, including the European Centre for Medium Range Weather Forecasts (ECMWF), Swedish Meteorological and Hydrological Institute (SMHI) and Dutch Rijkswaterstaat, the executive water management organisation of the Ministry of Infrastructure and the Environment, who have all provided letters of support outlining their interest in the project.

By improving the basis for assessing impacts, SINATRA will also make important contributions to fulfilling the strategic aims of the Cabinet Office's National Hazards Partnership and to meeting the demands made by the expressed by the Met Office Public Weather Service Customer Group, on behalf of the civil contingencies community, for more proportionate and meaningful warnings

At the local and regional scale, SINATRA will also improve the evidence-base on catchment susceptibility factors needed by Local Authorities to fulfil their new duties under the 2010 Flood and Water Management Act to be the lead agencies responsible for the management of flood risk from surface runoff, groundwater, and small (so-called "ordinary") watercourses. The database of FFIR events and impacts, as well as the analysis of extreme value statistics and of catchment susceptibility factors, will also help critical infrastructure providers, the insurance industry and others across the private sector to appreciate their exposure to FFIR.

Publications

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Description Global and regional atmospheric weather forecast and climate models necessarily have a relatively coarse spatial resolution in order to make them computationally viable. This means that sub-gridscale processes are poorly represented. One example is cloud base updraft velocities that are critically important in determining the activation of aerosols as they act as cloud condensation nuclei. Thus, considerable uncertainties exist in climate model predictions of the impact of aerosols on climate limiting our confidence in climate projections. Here we have developed a parameterisation based on extremely high resolution models, that is transferable to coarse resolution models. The results are extremely promising, although the resolution that this appears applicable to is limited to about 10km resolution. Global models will approach this resolution during the next decade indicating that the research wil become more and more applicable for future generations of climate and weather forecast models.
Exploitation Route See also: http://adsabs.harvard.edu/abs/2013AGUFM.A31A0008M

The methodology provides increased realism for representing aerosol-cloud interactions in global and coarse scale models.

It has been adopted as the basis for further research by the Met Office and has been included in their numerical weather prediction models. Further research is necessary to fully realise the potential, but it is a strong start that will provide the basis for future work at the Met Office.
Sectors Environment

URL http://onlinelibrary.wiley.com/doi/10.1002/2013JD021218/full
 
Title Data used to create figures in the ACP Letters manuscipt "The value of remote marine aerosol measurements for constraining radiative forcing uncertainty" by Regayre et al. (2020) 
Description This dataset was created from perturbed parameter ensembles (PPEs) using the HadGEM-UKCA atmospheric composition climate model. All data needed to reproduce figures in the Regayre et al. (2020) ACP Letters article "The value of remote marine aerosol measurements for constraining radiative forcing uncertainty" are included. Other output from the PPEs can be obtained by contacting the lead author. The following data are included here: CCN measurement data degraded to match the model-measurement comparison resolution. Unconstrained and constrained CCN 0.2 output from the PPE used to make Figure 1. These compressed files contain 48 .dat files. Each .dat file contains the PPE mean, variance and 95% creidble interval data. Files are named consecutively, containing data from 90 oS to 90 oN at 0 oE, then continuing Eastward. When combined, these files provide data for each latitude/longitude pair at the N48 spatial resolution. A zip file of an netcdf file containing 26-dimensional data for parameter values, used to create the sample of 1 million model variants from our statistical emulators of model output. A zip file containing a folder of files made of one million ones and zeros that indicate the retention/rejection criteria from applying our constraint methodology for various constraint combination scenarios, for each model variant. A value of 1 indicates the model variant was retained. Data in these files is in the same order as the unconstrained sample file of parameter values. Compressed files containing global, annual mean RF aci and ERF aci values for the unconstrained set of one million model variants. The compressed netcdf files contain RF (ERF), RF aci (ERF aci) and RF ari (ERF ari) values. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
URL https://zenodo.org/record/3988476
 
Title Data used to create figures in the ACP Letters manuscipt "The value of remote marine aerosol measurements for constraining radiative forcing uncertainty" by Regayre et al. (2020) 
Description This dataset was created from perturbed parameter ensembles (PPEs) using the HadGEM-UKCA atmospheric composition climate model. All data needed to reproduce figures in the Regayre et al. (2020) ACP Letters article "The value of remote marine aerosol measurements for constraining radiative forcing uncertainty" are included. Other output from the PPEs can be obtained by contacting the lead author. The following data are included here: CCN measurement data degraded to match the model-measurement comparison resolution. Unconstrained and constrained CCN 0.2 output from the PPE used to make Figure 1. These compressed files contain 48 .dat files. Each .dat file contains the PPE mean, variance and 95% creidble interval data. Files are named consecutively, containing data from 90 oS to 90 oN at 0 oE, then continuing Eastward. When combined, these files provide data for each latitude/longitude pair at the N48 spatial resolution. A zip file of an netcdf file containing 26-dimensional data for parameter values, used to create the sample of 1 million model variants from our statistical emulators of model output. A zip file containing a folder of files made of one million ones and zeros that indicate the retention/rejection criteria from applying our constraint methodology for various constraint combination scenarios, for each model variant. A value of 1 indicates the model variant was retained. Data in these files is in the same order as the unconstrained sample file of parameter values. Compressed files containing global, annual mean RF aci and ERF aci values for the unconstrained set of one million model variants. The compressed netcdf files contain RF (ERF), RF aci (ERF aci) and RF ari (ERF ari) values. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
URL https://zenodo.org/record/3988475