10 May 2021
| 10 May 2021
Visualization of radar-observed rainfall for hydrological risk assessment
Hydrology Research, Swedish Meteorological and Hydrological Institute,
601 76 Norrköping, Sweden
Peter Berg
Hydrology Research, Swedish Meteorological and Hydrological Institute,
601 76 Norrköping, Sweden
Remco van de Beek
Hydrology Research, Swedish Meteorological and Hydrological Institute,
601 76 Norrköping, Sweden
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Adv. Sci. Res., 17, 79–85, https://doi.org/10.5194/asr-17-79-2020, https://doi.org/10.5194/asr-17-79-2020, 2020
Short summary
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Kean Foster, Cintia Bertacchi Uvo, and Jonas Olsson
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Short summary
Short summary
Hydropower makes up nearly half of Sweden's electrical energy production. Careful reservoir management is required for optimal production throughout the year and accurate seasonal forecasts are essential for this. In this work we develop a seasonal forecast prototype and evaluate its ability to predict spring flood volumes, a critical variable, in northern Sweden. We show that the prototype is better than the operational system on average 65 % of the time and reduces the volume error by ~ 6 %.
Peter Berg, Chantal Donnelly, and David Gustafsson
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J. Olsson, C. B. Uvo, K. Foster, and W. Yang
Hydrol. Earth Syst. Sci., 20, 659–667, https://doi.org/10.5194/hess-20-659-2016, https://doi.org/10.5194/hess-20-659-2016, 2016
Short summary
Short summary
New approaches to spring-flood forecasting that reflect the latest developments with respect to analysis and modelling on seasonal timescales are presented and evaluated. Three main approaches, represented by specific methods, are evaluated in spring-flood hindcasts for three Swedish rivers over a 10-year period. When combining all forecasts in a weighted multi-model approach, a mean improvement over all locations and lead times of nearly 5 % was indicated, as compared with today's approach.
W. Yang, M. Gardelin, J. Olsson, and T. Bosshard
Nat. Hazards Earth Syst. Sci., 15, 2037–2057, https://doi.org/10.5194/nhess-15-2037-2015, https://doi.org/10.5194/nhess-15-2037-2015, 2015
Short summary
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A distribution-based scaling approach was developed and proven useful as a post-process to correct systematic biases in climate modelling outputs (i.e. precipitation, temperature, relative humidity and wind speed) to facilitate the utilisation of climate projections in forest fire risk studies. The result showed reduction of bias in forcing data and an improved description of fire-risk-related indices. Concerning the future climate, southern Sweden is likely to become a more fire-prone region.
B. Eggert, P. Berg, J. O. Haerter, D. Jacob, and C. Moseley
Atmos. Chem. Phys., 15, 5957–5971, https://doi.org/10.5194/acp-15-5957-2015, https://doi.org/10.5194/acp-15-5957-2015, 2015
P. Berg, R. Döscher, and T. Koenigk
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Cited articles
Berg, P., Norin, L., and Olsson, J.: Creation of a high resolution precipitation data set by merging gridded gauge data and radar observations
for Sweden, J. Hydrol., 541, 6–13, https://doi.org/10.1016/j.jhydrol.2015.11.031, 2016.
Bringi, V. N. and Chandrasekar, V.: Polarimetric Doppler Weather Radar:
Principles and Applications, Cambridge University Press, Cambridge, 2001.
Delrieu, G., Braud, I., Berne, A., Borga, M., Boudevillain, B., Fabry, F.,
Freer, J., Gaume, E., Nakakita, E., Seed, A., Tabary, P., and Uijlenhoet, R.: Weather radar and hydrology, Adv. Water Resour., 32, 969–974,
https://doi.org/10.1016/j.advwatres.2009.03.006, 2009.
Eggert, B., Berg, P., Haerter, J. O., Jacob, D., and Moseley, C.: Temporal
and spatial scaling impacts on extreme precipitation, Atmos. Chem. Phys.,
15, 5957–5971, https://doi.org/10.5194/acp-15-5957-2015, 2015.
Johansson, B. and Chen, D.: The influence of wind and topography on
precipitation distribution in Sweden: statistical analysis and modelling,
Int. J. Climatol., 23, 1523–1535, https://doi.org/10.1002/joc.951, 2003.
Krajewski, W. F., Ceynar, D., Demir, I., Goska, R., Kruger, A., Langel, C.,
Mantilla, R., Niemeier, J., Quintero, F., Seo, B.-C., Small, S. J., Weber,
L. J., and Young, N. C.: Real-time flood forecasting and information system
for the state of Iowa, B. Am. Meteorol. Soc., 98, 539–554.
https://doi.org/10.1175/BAMS-D-15-00243.1, 2017.
Lincoln, W. S. and Thomason, R. F. L.: A preliminary look at using rainfall
average recurrence interval to characterize flash flood events for real-time
warning forecasting, J. Operat. Meteorol., 6, 13–22,
https://doi.org/10.15191/nwajom.2018.0602, 2018.
Ochoa-Rodriguez, S., Wang, L.-P., Willems, P., and Onof, C.: A review of
radar-rain gauge data merging methods and their potential for urban
hydrological applications, Water Resour. Res., 55, 6356–6391,
https://doi.org/10.1029/2018WR023332, 2019.
Olsson, J., Södling, J., Berg, P., Wern, L., and Eronn, A.: Short-duration rainfall extremes in Sweden: a regional analysis, Hydrol.
Res., 50, 945–960, https://doi.org/10.2166/nh.2019.073, 2019.
Parzybok, T., Clarke, B., and Hulstrand, D. M.: Average recurrence interval
of extreme rainfall in real-time, Earthzine, available at:
http://earthzine.org/2011/04/19/average-recurrence-interval-of-extreme-rainfall-in-real-time/ (last access: 6 May 2021), 2011.
Pulkkinen, S., Nerini, D., Perez Hortal, A., Velasco-Forero, C., Germann, U., Seed, A., and Foresti, L: Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0), Geosci. Model Dev., 12,
4185–4219, https://doi.org/10.5194/gmd-12-4185-2019, 2019.
Schleiss, M., Olsson, J., Berg, P., Niemi, T., Kokkonen, T., Thorndahl, S.,
Nielsen, R., Ellerbæk Nielsen, J., Bozhinova, D., and Pulkkinen, S.: The
accuracy of weather radar in heavy rain: a comparative study for Denmark,
the Netherlands, Finland and Sweden, Hydrol. Earth Syst. Sci., 24, 3157–3188, https://doi.org/10.5194/hess-24-3157-2020, 2020.
SMHI – Swedsih Meteorological and Hydrological Institute:
http://hypewebapp.smhi.se/skyfall/, last access: 6 May 2021.
Strömqvist, J., Arheimer, B., Dahné, J., Donnelly, C., and Lindström, G.: Water and nutrient predictions in ungauged basins –
Set-up and evaluation of a model at the national scale, Hydrolog. Sci. J., 57, 229–247, https://doi.org/10.1080/02626667.2011.637497, 2012.
Svensson, C. and Jones, D. A.: Review of methods for deriving area reduction
factors, J. Flood Risk Manage., 3, 232–245, https://doi.org/10.1111/j.1753-318X.2010.01075.x, 2010.
Thorndahl, S., Einfalt, T., Willems, P., Nielsen, J. E., ten Veldhuis, M.-C., Arnbjerg-Nielsen, K., Rasmussen, M. R., and Molnar, P.: Weather radar rainfall data in urban hydrology, Hydrol. Earth Syst. Sci., 21, 1359–1380,
https://doi.org/10.5194/hess-21-1359-2017, 2017.
Thorndahl, S., Nielsen, J. E., and Rasmussen, M. R:. Estimation of storm-centred areal reduction factors from radar rainfall for design in urban hydrology, Water, 11, 1120, https://doi.org/10.3390/w11061120, 2019.
van de Beek, C. Z., Leijnse, H., Hazenberg, P., and Uijlenhoet, R.: Close-range radar rainfall estimation and error analysis, Atmos. Meas. Tech., 9, 3837–3850, https://doi.org/10.5194/amt-9-3837-2016, 2016.
van de Beek, C. Z., Berg, P., Södling, J., Mook, R., and Olsson, J.: An
improved precipitation data based on radar and gridded gauge products for
operational hydrology in Sweden, Earth Syst. Sci. Data, in preparation, 2021.
Wilks, D. S.: Statistical Methods in the Atmospheric Sciences, Academic
Press, San Diego, 1995.
Willems, P., Olsson, J., Arnbjerg-Nielsen, K., Beecham, S., Pathirana, A.,
Bülow Gregersen, I., Madsen, H., and Nguyen, V.-T.-V.: Impacts of Climate Change on Rainfall Extremes and Urban Drainage Systems, IWA Publishing, London, 2012.
Short summary
We have developed a tool to visualize rainfall observations, based on a combination of meteorological stations and weather radars, over Sweden in near real-time. By accumulating the rainfall in time (1–12 h) and space (hydrological basins), the tool is designed mainly for hydrological applications, e.g. to support flood forecasters and to facilitate post-event analyses. Despite evident uncertainties, different users have confirmed an added value of the tool in case studies.
We have developed a tool to visualize rainfall observations, based on a combination of...
