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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ADGEO</journal-id>
<journal-title-group>
<journal-title>Advances in Geosciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ADGEO</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Adv. Geosci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7359</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/adgeo-29-77-2011</article-id>
<title-group>
<article-title>The use of MOGREPS ensemble rainfall forecasts in operational flood forecasting systems across England and Wales</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Schellekens</surname>
<given-names>J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Weerts</surname>
<given-names>A. H.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Moore</surname>
<given-names>R. J.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pierce</surname>
<given-names>C. E.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hildon</surname>
<given-names>S.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Inland Water Systems, Deltares, Delft, The Netherlands</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Joint Centre for Hydro-Meteorological Research, Centre for Ecology and Hydrology, Wallingford, UK</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Joint Centre for Hydro-Meteorological Research, Met Office, Wallingford, UK</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Flood Risk Science, Environment Agency, Leeds, UK</addr-line>
</aff>
<pub-date pub-type="epub">
<day>01</day>
<month>03</month>
<year>2011</year>
</pub-date>
<volume>29</volume>
<fpage>77</fpage>
<lpage>84</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2011 J. Schellekens et al.</copyright-statement>
<copyright-year>2011</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://adgeo.copernicus.org/articles/29/77/2011/adgeo-29-77-2011.html">This article is available from https://adgeo.copernicus.org/articles/29/77/2011/adgeo-29-77-2011.html</self-uri>
<self-uri xlink:href="https://adgeo.copernicus.org/articles/29/77/2011/adgeo-29-77-2011.pdf">The full text article is available as a PDF file from https://adgeo.copernicus.org/articles/29/77/2011/adgeo-29-77-2011.pdf</self-uri>
<abstract>
<p>Operational flood forecasting systems share a fundamental challenge:
forecast uncertainty which needs to be considered when making a flood
warning decision. One way of representing this uncertainty is through
employing an ensemble approach. This paper presents research funded by the
Environment Agency in which ensemble rainfall forecasts are utilised and
tested for operational use. The form of ensemble rainfall forecast used is
the Met Office short-range product called MOGREPS. It is tested for
operational use within the Environment Agency&apos;s National Flood Forecasting
System (NFFS) for England and Wales. Currently, the NFFS uses deterministic
forecasts only. The operational configuration of the NFFS for Thames Region
is extended to trial the use of the new ensemble rainfall forecasts in
support of probabilistic flood forecasting. Evaluation includes considering
issues of model performance, configuration (how to fit the ensemble
forecasts within the current configurations), data volumes, run times and
options for displaying probabilistic forecasts. Although ensemble rainfall
forecasts available from MOGREPS are not extensive enough to fully verify
product performance, it is concluded that their use within current
Environment Agency regional flood forecasting systems can provide better
information to the forecaster than use of the deterministic forecasts alone.
Of note are the small number of false alarms of river flow exceedance
generated when using MOGREPS as input and that small flow events are also
forecasted rather well, notwithstanding the rather coarse resolution of the
MOGREPS grid (24 km) compared to the studied catchments. In addition, it is
concluded that, with careful configuration in NFFS, MOGREPS can be used in
existing systems without a significant increase in system load.</p>
</abstract>
<counts><page-count count="8"/></counts>
</article-meta>
</front>
<body/>
<back>
<ref-list>
<title>References</title>
<ref id="ref1">
<label>1</label><mixed-citation publication-type="other" xlink:type="simple"> Bell, V. A., Kay, A. L., Jones, R. G., Moore, R. J., and Reynard, N. S.: Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK, J. Hydrol., 377(3–4), 335–350, 2009. </mixed-citation>
</ref>
<ref id="ref2">
<label>2</label><mixed-citation publication-type="other" xlink:type="simple"> Bowler, N. E., Pierce, C. E., and Seed, A. W.: STEPS: A probabilistic precipitation forecasting scheme which merges an extrapolation nowcast with downscaled NWP, Q. J. R. Meteorol. Soc, 132(620), 2127–2155, 2006. </mixed-citation>
</ref>
<ref id="ref3">
<label>3</label><mixed-citation publication-type="other" xlink:type="simple"> Bowler, N. E., Dando, M., Bear, S., and Mylne, K.: The MOGREPS short-range ensemble prediction system: Verification report. Trial performance of MOGREPS January 2006–March 2007, Forecasting Research Techinical Report, Met Office, Exeter, 2007. </mixed-citation>
</ref>
<ref id="ref4">
<label>4</label><mixed-citation publication-type="other" xlink:type="simple"> Bowler, N. E., Arribas, A., Mylne, K. R., Robertson, K. B., and Beare, S. E.: The MOGREPS short-range ensemble prediction system, Q. J. R. Meteorol. Soc, 134(632), 703–722, 2008. </mixed-citation>
</ref>
<ref id="ref5">
<label>5</label><mixed-citation publication-type="other" xlink:type="simple"> CEH: PSM Penman Store Model Incorporating the TCM and the IEM. Version 2.2, September 2005, Centre for Ecology and Hydrology, Wallingford, UK, 2005. </mixed-citation>
</ref>
<ref id="ref6">
<label>6</label><mixed-citation publication-type="other" xlink:type="simple"> Cloke, H., Thielen, J., Pappenberger, F., Nobert, S., Balint, G., Edlund, C., Koistinen, A., De Saint-Aubin, C., Sprokkereef, E., Viel, C., Salamon, P., and Buizza, R.: Progress in flood forecasting, ECMWF Newsletter No. 121, Autumn 2009, 20-24, 2009. </mixed-citation>
</ref>
<ref id="ref7">
<label>7</label><mixed-citation publication-type="other" xlink:type="simple"> Cloke, H. L. and Pappenberger, F.: Ensemble flood forecasting: a review, J. Hydrol, 375(3–4), 613–626, 2009. </mixed-citation>
</ref>
<ref id="ref8">
<label>8</label><mixed-citation publication-type="other" xlink:type="simple"> Gouweleeuw, B. T., Thielen, J., Franchello, G., De Roo, A. P. J., and Buizza, R.: Flood forecasting using medium-range probabilistic weather prediction, Hydrol. Earth Syst. Sci., 9, 365–380, https://doi.org/10.5194/hess-9-365-2005, 2005. </mixed-citation>
</ref>
<ref id="ref9">
<label>9</label><mixed-citation publication-type="other" xlink:type="simple"> Grimit, E. P., Gneiting, T., Berrocal, V. J., and Johnson, N. A.: The continuous ranked probability score for circular variables and its application to mesoscale forecast ensemble verification, Q. J. R. Meteorol. Soc., 132(621C), 2925–2942, 2006. </mixed-citation>
</ref>
<ref id="ref10">
<label>10</label><mixed-citation publication-type="other" xlink:type="simple"> Ihaka, R. and Gentleman, R.: A language for data analysis and graphics, J. Comput. Graph. Stat., 5(3), 299–314, 1996. </mixed-citation>
</ref>
<ref id="ref11">
<label>11</label><mixed-citation publication-type="other" xlink:type="simple"> Pappenberger, F., Beven, K. J., Hunter, N. M., Bates, P. D., Gouweleeuw, B. T., Thielen, J., and de Roo, A. P. J.: Cascading model uncertainty from medium range weather forecasts (10 days) through a rainfall-runoff model to flood inundation predictions within the European Flood Forecasting System (EFFS), Hydrol. Earth Syst. Sci., 9, 381–393, https://doi.org/10.5194/hess-9-381-2005, 2005. </mixed-citation>
</ref>
<ref id="ref12">
<label>12</label><mixed-citation publication-type="other" xlink:type="simple"> Price, D., Hudson, K., Boyce, G., Schellekens, J., Moore, R. J., Clark, P., Harrison, T., and Conolly, E.: Operational application of a distributed grid-based hydrological model for flood forecasting in England and Wales, in review, Water Management, 2011. </mixed-citation>
</ref>
<ref id="ref13">
<label>13</label><mixed-citation publication-type="other" xlink:type="simple"> Rotach, M. W., Ambrosetti, P., Ament, F., Appenzeller, C., Arpagaus, M., Bauer, H., Behrendt, A., Bouttier, F., Buzzi, A., Corazza, M., Davolio, S., Denhard, M., Dorninger, M., Fontannaz, L., Frick, J., Fundel, F., Germann, U., Hegg, T. G. C, Hering, A., Keil, C., Liniger, M. A., Marsigli, C., McTaggart-Cowan, R., Montani, A., Mylne, K., Ranzi, R., Richard, E., Rossa, A., Santos-Muñoz, D., Schär, C., Seity, Y., Staudinger, M., Stoll, M., Volkert, H., Walser, A., Wang, Y., Werhahn, J., Wulf-meyer, V, and Zappa, M.: MAP D-PHASE: Real-time demonstration of weather forecast quality in the Alpine region, Bull. Amer. Meteorol. Soc, 90(9), 1321–1336, 2009. </mixed-citation>
</ref>
<ref id="ref14">
<label>14</label><mixed-citation publication-type="other" xlink:type="simple"> Schellekens, J., Moore, R., Cole, S., Reggiani, P., Weerts, A., Minett, A., Bell, V., and Robson, A. J.: Hydrological modelling using convective scale rainfall modelling, Research Contractors: Deltares and CEH Wallingford. Environment Agency, Bristol, UK, 2010. </mixed-citation>
</ref>
<ref id="ref15">
<label>15</label><mixed-citation publication-type="other" xlink:type="simple"> Thielen, J., Bartholmes, J., Ramos, M.-H., and de Roo, A.: The European Flood Alert System - Part~1: Concept and development, Hydrol. Earth Syst. Sci., 13, 125–140, https://doi.org/10.5194/hess-13-125-2009, 2009. </mixed-citation>
</ref>
<ref id="ref16">
<label>16</label><mixed-citation publication-type="other" xlink:type="simple"> Werner, M., van Dijk, M., and Schellekens, J.: DELFT-FEWS: an open shell flood forecasting system, in Proceedings of the 6 TH International Conference on Hydroinformatics, 1205–1212, 2004. </mixed-citation>
</ref>
<ref id="ref17">
<label>17</label><mixed-citation publication-type="other" xlink:type="simple"> Wilby, R., Greenfield, B., and Glenny, C.: A coupled synoptic-hydrological model for climate change impact assessment, J. Hydrol, 153(1–4), 265–290, 1994. </mixed-citation>
</ref>
<ref id="ref18">
<label>18</label><mixed-citation publication-type="other" xlink:type="simple"> Wilks, D. S.: Statistical methods in the atmospheric sciences: an introduction, 2nd edn., Academic Press, Amsterdam, 2006. </mixed-citation>
</ref>
</ref-list>
</back>
</article>