“Are we talking just a bit of water out of bank? Or is it Armageddon?” Front line perspectives on transitioning to probabilistic fluvial flood forecasts in England
-
Published:2020-08-19
Issue:2
Volume:3
Page:203-232
-
ISSN:2569-7110
-
Container-title:Geoscience Communication
-
language:en
-
Short-container-title:Geosci. Commun.
Author:
Arnal Louise, Anspoks Liz, Manson Susan, Neumann Jessica, Norton Tim, Stephens ElisabethORCID, Wolfenden Louise, Cloke Hannah LouiseORCID
Abstract
Abstract. By showing the uncertainty surrounding a prediction,
probabilistic forecasts can give an earlier indication of potential upcoming
floods, increasing the amount of time available to prepare. However, making
a decision based on probabilistic information is challenging. As part of the
UK-wide policy's move towards forecast-based flood risk management, the
Environment Agency (EA), responsible for managing risks of flooding in
England, is transitioning towards the use of probabilistic fluvial forecasts
for flood early warning. While science and decision-making are both
individually progressing, there is still a lack of an ideal framework for the incorporation of new and probabilistic science into decision-making practices,
and, respectively, the uptake of decision-makers' perspectives in the design
of scientific practice. To address this, interviews were carried out with EA
decision-makers (i.e. Duty Officers), key players in the EA's flood warning
decision-making process, to understand how they perceive this transition
might impact on their decision-making. The interviews highlight the complex
landscape in which EA Duty Officers operate and the breadth of factors that
inform their decisions, in addition to the forecast. Although EA Duty Officers already account for uncertainty and communicate their confidence in
the forecast they currently use, the interviews revealed a decision-making
process which is still very binary and linear to an extent, which appears at
odds with probabilistic forecasting. Based on the interview results, we make
recommendations to support a successful transition to probabilistic
forecasting for flood early warning in England. These recommendations include the new system's co-design together with Duty Officers, the preparation of clear guidelines on how probabilistic forecast should be
used for decision-making in practice, EA communication with all players in the decision-making chain (internal and external) that this transition
will become operational practice and the documentation of this transition to
help other institutes yet to face a similar challenge. We believe that this paper is of wide interest for a range of sectors at the
intersection between geoscience and society. A glossary of technical terms
is highlighted by asterisks in the text and included in Appendix A.
Publisher
Copernicus GmbH
Reference61 articles.
1. Arnal, L., Ramos, M.-H., Coughlan de Perez, E., Cloke, H. L., Stephens, E., Wetterhall, F., van Andel, S. J., and Pappenberger, F.: Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game, Hydrol. Earth Syst. Sci., 20, 3109–3128, https://doi.org/10.5194/hess-20-3109-2016, 2016. 2. Bischiniotis, K., van den Hurk, B., Coughlan de Perez, E., Veldkamp, T.,
Guimarães Nobre, G., and Aerts, J.: Assessing Time, Cost and Quality
Trade-Offs in Forecast-Based Action for Floods, Int. J. Disast. Risk Re.,
40, 101252, https://doi.org/10.1016/j.ijdrr.2019.101252, 2019. 3. Bruen, M., Krahe, P., Zappa, M., Olsson, J., Vehvilainen, B., Kok, K., and
Daamen, K.: Visualizing Flood Forecasting Uncertainty: Some Current European
EPS Platforms-COST731 Working Group 3, Atmos. Sci. Lett., 11, 92–99,
https://doi.org/10.1002/asl.258, 2010. 4. Buizza, R.: The Value of Probabilistic Prediction, Atmos. Sci. Lett., 9,
36–42, https://doi.org/10.1002/asl.170, 2008. 5. Cloke, H. L. and Pappenberger, F.: Ensemble Flood Forecasting: A Review, J. Hydrol., 375, 613–26, https://doi.org/10.1016/j.jhydrol.2009.06.005, 2009.
Cited by
17 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|