Robust risk assessments of climate change, flood and drought
Submitting Institution
Newcastle UniversityUnit of Assessment
Civil and Construction EngineeringSummary Impact Type
EnvironmentalResearch Subject Area(s)
Mathematical Sciences: Statistics
Earth Sciences: Atmospheric Sciences, Physical Geography and Environmental Geoscience
Summary of the impact
Research at Newcastle University into stochastic rainfall models and
their application has transformed the practice of impact assessment of
climate change and risk assessment of environmental hazards across
multiple sectors. The Newcastle methods underpin the "Weather
Generator", a web-based tool which has been made available since
2009 by DEFRA as part of their official UK Climate Projections (UKCP09).
The tool's incorporation into this official data source means that the
models generated underpin multi-sectoral risk assessment throughout the UK
and subsequently have led to the adoption of stochastic methods in
general, particularly in the water and insurance industries to produce
more robust risk assessments.
Underpinning research
Computer modelling of rainfall has been a principal research area at
Newcastle University's Water Resource Systems Research Laboratory for over
20 years with continual research funding received from the EU [G1], UK
government [G2] and RCUK [G3] totalling over £2.5M. The laboratory has
become known in the research community as the prime exponent of developing
and using stochastic methods in performance assessment of hydrosystems (e.g.
water resources, urban drainage). Stochastic (including "Monte Carlo")
approaches to modelling infrastructure and natural systems allow
performance to be assessed and optimised for conditions outside of those
observed, including future climates. The research utilised new
mathematical formulations of models to provide wider functionality and
demonstrates their utility in real-world application. The research
advances may be characterised in the following three areas:
Stochastic modelling of rainfall: developments from 1993 started
with an existing basic method, the Neyman-Scott Rectangular Pulses (NSRP)
model. O'Connell initiated a research programme, with PhD student
Cowpertwait, producing key developments over the following decade
including: improving the ability to reproduce extremes [P1], extending
from single-site to space-time [P4], providing national [P2] and European
[P1] coverage. The nature of the developments was mathematical (new
analytical derivations of parameter estimates) and statistical (e.g.
robust model optimisation, and choice of intensity distribution for
reproduction of extremes).
Rainfall information for future climates: methods for downscaling
climate model outputs were developed from 1998 onwards by Kilsby [P2] and
Fowler for her PhD thesis. Climate models operate on large grid squares so
the generation of fine-scale rainfall information and properties of
extremes for future climates has been an enduring problem. This was
addressed for the first time in the UK by the Newcastle team using
atmospheric circulation patterns as predictors of rainfall in a
statistical framework [P2]. The NSRP model was further developed and
applied in this context in a series of EU projects [G1] for climate impact
assessments on water resources and flooding.
Probabilistic frameworks for climate change impact and risk
assessments: extension of the rainfall model to other variables (e.g.
temperature) was led by Kilsby in collaboration with UEA from 2006 [P5,
G5] leading to the "Weather Generator" (WG) used by the Environment
Agency (EA). A new era of "probabilistic" climate change
projections was entered in 2009 when the Met Office Hadley Centre
developed an ensemble approach to address uncertainty in the DEFRA-funded
UKCP09 programme, the first example worldwide of such projections being
available to the public. However, these are limited in that only distributions
of change are provided, so actual time series are not available,
an essential requirement for impacts modelling. DEFRA therefore
commissioned Newcastle to develop a tool to provide these essential
missing series [G2]. Newcastle was responsible for the rainfall component
and overall implementation, whilst UEA addressed the other weather
variables. The generation of large ensembles of data for use in Monte
Carlo assessments has continued with further developments of models for
droughts by Kilsby and Serinaldi [P6].
Key staff:
O’Connell, P. E. |
Professor, 1985-present |
Kilsby, C. G. |
SRA/Lecturer/Senior Lecturer/Reader/Professor 1991-present |
Cowpertwait, P.S.P. |
PhD 1992; Part-time Lecturer, 1993-1996 |
Burton, A. |
SRA 1993-present |
Fowler, H.J. |
PhD 2000, RA 2001, NERC Fellow 2006, Professor 2012 – present |
Serinaldi, F. |
SRA Willis Research Fellow 2011- present |
References to the research
[P1] * Cowpertwait, P. S. P., Kilsby, C. G., O'Connell, P. E. (2002), A
space-time Neyman-Scott model of rainfall: Empirical analysis of extremes.
Water Resour. Res., 38(8): 61-614. (Development of NSRP model
including extremes: output of WRINCLE project)
[P2] Kilsby, C. G., Cowpertwait, P. S. P., O'Connell, P. E., Jones, P. D.
(1998), Predicting rainfall statistics in England and Wales using
atmospheric circulation variables. Int. J. Climatol., 18(5):
523-539. (Links climate variables to stochastic model: output of
POPSICLE project)
[P3] Fowler, H. J., Kilsby, C. G., O'Connell, P. E. (2000), A stochastic
rainfall model for the assessment of regional water resource systems under
changed climatic conditions. Hydrol. Earth Syst. Sci., 4(2):
263-282. (Application to Yorkshire Water resource system: from Fowler's
PhD supervised by Kilsby and O'Connell)
[P4] Burton, A., Kilsby, C. G., Fowler, H. J., Cowpertwait, P. S. P.,
O'Connell, P. E. (2008), RainSim: A spatial-temporal stochastic rainfall
modelling system, Environ. Modell. Softw., 23(12): 1356-1369. (Definitive
description of software package- 11th most
cited paper in journal in REF period)
[P5] * Kilsby, C. G., Jones, P. D., Burton, A., Ford, A. C., Fowler, H.
J., Harpham, C., James, P., C.G. Smith, A., Wilby, R. L. (2007), A daily
weather generator for use in climate change studies. Environ. Modell.
Softw., 22(12): 1705-1719. (Primary description of WG arising
from EARWIG project. Cited 129 times as of October 2013 — source Scopus)
[P6] * Serinaldi, F. and Kilsby C. G., (2012), A modular class of
multisite monthly rainfall generators for water resource management and
impact studies. J. Hydrol., 464: 528-540. (Description of
stochastic model developed and used for water resource planning studies)
[* indicates references that best indicate the quality of the
underpinning research]
Key Grants
[G1] EU and other projects developing downscaling tools and stochastic
models for climate scenarios and applying in risk assessments:
• POPSICLE 1994 - 1996: EU FP3 EV5V-CT94-0510, development
of downscaling methods using NSRP with climate variables, PI
overall: O'Connell, Newcastle. Total value €0.45M;
• WRINCLE 1998 - 2000: EU FP4 ENV4-97-0452, application
of NSRP for Europe for future climates and water resources, PI
overall: O'Connell, Newcastle. Total value €0.54M;
• SWURVE 2000 - 2004: EU FP5 EVK1-2000-00075, further
developments of NSRP in water case studies across Europe, PI
overall: Kilsby, Newcastle. Total value €1.5M;
• AQUATERRA 2004 - 2009: EU FP6-SUSTDEV 505428, further
developments and application of NSRP in groundwater protection, water
resources and flooding studies, PI: Fowler, Newcastle. Total value
€20.2M;
• ECLISE 2011 - 2014: EU FP7 265240, provision of
climate services — development of NSRP for better representation extreme
rainfall: PI: Fowler, Newcastle. Total value €4.5M;
• CARIWIG 2012 - 2014: CDKN RSGL0024h, provision of
climate services to Caribbean region, PI overall: Burton, Newcastle.
Total value £640k.
[G2] DEFRA and EA programmes — developing Weather Generator technology:
• EARWIG 2005 - 2006: Environmental Effects of Agriculture
and Land Use: Weather Generator Tool — development of freely available
national WG with graphical interface; PI: Kilsby, total value £28K;
• UKCP09 2007 - 2010: DEFRA, commissioned web service and
overall web portal design for WG as part of UKCP09 national programme;
PI: Kilsby, total value £155K.
[G3] RCUK programmes — focussed on development and applications of
stochastic methods in infrastructure robustness studies under climate
change:
• NERC 2007 - 2010: NE/E002501/1, FRACAS: next generation
national Flood Risk Assessment under climate Change Scenarios; PI:
Kilsby, value to Newcastle £204K;
• EPSRC 2009 - 2011: EP/G061254, ARCADIA: Adaptation and
Resilience in Cities: Analysis and Decision making using Integrated
Assessment: developed spatial Weather Generator, Co-I: Kilsby, value
to Newcastle £651k;
Further EPSRC projects using UKCP09 WG include: RESNET EP/I035781
(2011-15), Co-I Kilsby; FloodMEMORY EP/K013513 (2013-16) PI: Kilsby.
Details of the impact
Newcastle research into stochastic models for environmental hazards has
revolutionised capabilities and practice in the design and planning of
resilient infrastructure systems. The use of stochastic methods allows
much larger and more detailed data sets of hazards (e.g. extreme
rainfall, droughts, and wind storms) to be generated for present and
future climates providing a more robust basis for risk and reliability
assessments. These assessments include expected damages from flood,
failure of water supply and damage to infrastructure networks from
multiple environmental hazards, which inform plans and designs for
resilient infrastructure systems adapted to future climates.
The impact of the research has been achieved through two main impact
routes a) the provision of the "Weather Generator" (WG) software
encompassing new methods as part of the UKCP09 used for climatic risk
assessments, and b) the provision of a tailored model for water resource
planning.
a) Impact through the Weather Generator: Research at
Newcastle into stochastic rainfall models underpins the web-based WG
software [E5] technical details of which are published in the DEFRA report
[E8]. This work uses both the NSRP rainfall model [P1, P4] and methods for
downscaling future climate [P2, P3]. The WG was initially developed for
the Environment Agency (EA) funded EARWIG project and further developed
for DEFRA's official UK Climate Projections (UKCP09). The free and online
provision of WG has made new, more robust methods for risk assessment of
climate change, floods and droughts available to a wide user-base where
previously it was restricted to academic research or highly specialised
consultancy. This accessibility has resulted further in the transformation
of industry and academic best practice in design and planning of resilient
infrastructure systems across multiple sectors e.g. energy
utilities & transport operators. Specific beneficiaries include:
- National government (DEFRA & EA) were responsible for the UKCP09
programme. The first national Climate Change Risk Assessment (CCRA) in
2012 used WG [E5] as detailed in the water sector report [E1, pp 12, 14,
39, 59, 88]. The CCRA informs national policy through the National
Adaptation Plan which sets out the main priorities for adaptation
for the UK;
- Government Office North East commissioned Royal Haskoning to carry out
its Climate Change Adaptation study (2008) which used the WG and won the
Institution of Civil Engineers Stephenson Award for Sustainability
(2009) [E4];
- Atkins, one of the world's leading design, engineering and project
management consultancies, uses the WG extensively (since 2009) to
analyse data for their clients, predominantly in the water sector. Most
notable is the UKWIR (UK Water Industry Research Ltd.) project "Climate
Change Modelling for Sewerage Networks" which resulted in the
provision of guidance on incorporating climate change impacts into the
modelling of sewerage networks [E2, E3]; The software tool "WRAPT"
(which uses WG outputs) commissioned by UKWIR is the new national water
industry standard recommendation. The principal consultant at Atkins
indicates in [E3] that the UK water industry spent over £1 billion on
reducing the risk of sewer flooding between 2005 and 2010 and that this
will become more significant in the future: "Understanding the risk
— in the current climate and under climate change projections — is
vital to ensure appropriate and timely investment. Analysis using WG
is integral to this" [E3];
Overall uptake of the WG can be gauged by usage statistics which show it
was run 16,132 times by 1338 unique users from 2009 to May 2013 [E5, E6];
a national portfolio of RCUK funded programmes with industrial partners
[E7] who rely on the UKCP09 e.g. the EPSRC Adaptation and
Resilience in a Changing Climate Coordination Network [E3].
b) Impacts through models for water resource planning:
Stochastic methods have been accepted as a new practice by water industry
companies and used for future investment and asset management planning of
e.g. reservoirs and water transfers. One direct beneficiary is
Southern Water (SW) whose consultants, Atkins, have specified and used
stochastic rainfall models and their outputs in driving water resource
models, subsequently used for assessing future requirements and planning
capacity and investment. The Newcastle research contribution here was in
provision of stochastic rainfall models which were refined and applied
with knowledge from climate downscaling projects [G1,G2] dealing with
droughts to develop computer models for monthly multi-site rainfall [P6]
with realistic extremes and spatial correlation needed for application
across large water resource zones under climate change conditions. SW's
management plan [E9, pg.6] describes this "innovative approach"
based on pioneering work with Newcastle University using "mathematical
modelling techniques to look at alternative weather patterns and
droughts". This much more robust approach, "an industry first"
[E10], to possible future drought was used to formulate SW's water
resources management plan submitted to industry regulators, Ofwat. This
planning case is valued at £283.4 million as SW serves around 4 million
customers and was published in draft for consultation in May 2013 [E9,
E10].
Further developing and international impacts: simulation
methods using stochastic inputs are now becoming standard in international
insurance and re-insurance. Newcastle enjoys membership of the Willis
Research Network which provides a close relationship with Willis and their
insurance and re-insurance clients. Newcastle has developed rainfall
models to generate large-scale extreme daily rainfall fields for Willis,
who are developing a large basin flood model to be driven with ensembles
of synthetic rainfall data. Insured losses of around €400 million were
estimated from flooding in Austria due to the Danube in the last major
flood event and improved models and flood risk estimates at greater
resolution and with higher accuracy will allow significant improvement in
premium setting and avoidance of costly over-exposure. Collaborations with
partners for international WG applications are underway with Deutsche
Wetter Dienst (Germany), Global Change Impact Studies Centre (Pakistan)
and Caribbean meteorological agencies (via a Climate and
Development Knowledge Network project funded by DFID8882083).
Sources to corroborate the impact
[E1] Climate Change Risk Assessment 2012: Water Sector report.
http://ccra.hrwallingford.com/CCRAReports/reportviewer.html?sector=water&link=LinkTarget_1
[accessed 21/10/2013] (WG software used as detailed on pp 12, 14, 39,
59, 88)
[E2] UKWIR Report: "Climate Change Modelling for Sewerage Networks
(10/CL/10/15)" UKWIR (2010) ISBN: 1 84057 573 5; at http://www.ukwir.org/web/ukwirlibrary/93903.
(design guidelines on incorporating climate change impacts into the
modelling of sewerage networks)
[E3] Testimonial: Principal Consultant, Climate Change &
Environmental Futures, Atkins & Manager of UKWIR project
"Climate Change Modelling for Sewerage Networks".
[E4] North East Climate Change Adaptation Study. http://www.royalhaskoning.co.uk/en-gb/Publication/Documents/projects/North-East-Climate-Change-Adaptation-Study.pdf
and
http://www.climatenortheast.com/contentControl/documentControl/Climate%20Change%20Adaptation%20Study.pdf
[E5] Testimonial: Research Expert — Climate Change, Environment
Agency (EA) & Manager of national government "Climate Ready"
programme.
[E6] Statistics of downloads and usage of UKCP09 WG: source Ag Stephens,
CEDA Head of Partnerships, Met Office, Exeter, EX1 3PB, ag.stephens@stfc.ac.uk,
+44 01392 884263
[E7] Industry affiliated RCUK projects listed at http://ukclimateprojections.defra.gov.uk/23081
[E8] UKCP09 Weather Generator report: http://ukclimateprojections.defra.gov.uk/22586.
ISBN 978-1-906360-06-1
[E9] Southern Water- Water Resource Management Plan Draft Strategy:
consultation document at
http://swhaveyoursay.co.uk/wrmp/our-plans/#consultation-document.
[E10] Testimonial: Principal Consultant, Atkins.