Journal cover Journal topic
Advances in Science and Research Contributions in Applied Meteorology and Climatology
Journal topic

Journal metrics

h5-index value: 14
h5-index14
Download
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.
ASR | Articles | Volume 18
Adv. Sci. Res., 18, 59–64, 2021
https://doi.org/10.5194/asr-18-59-2021
Adv. Sci. Res., 18, 59–64, 2021
https://doi.org/10.5194/asr-18-59-2021

  10 May 2021

10 May 2021

Visualization of radar-observed rainfall for hydrological risk assessment

Jonas Olsson et al.

Related authors

The accuracy of weather radar in heavy rain: a comparative study for Denmark, the Netherlands, Finland and Sweden
Marc Schleiss, Jonas Olsson, Peter Berg, Tero Niemi, Teemu Kokkonen, Søren Thorndahl, Rasmus Nielsen, Jesper Ellerbæk Nielsen, Denica Bozhinova, and Seppo Pulkkinen
Hydrol. Earth Syst. Sci., 24, 3157–3188, https://doi.org/10.5194/hess-24-3157-2020,https://doi.org/10.5194/hess-24-3157-2020, 2020
Short summary
Optimal grid resolution for precipitation maps from commercial microwave link networks
Remco (C. Z.) van de Beek, Jonas Olsson, and Jafet Andersson
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
Summertime precipitation extremes in a EURO-CORDEX 0.11° ensemble at an hourly resolution
Peter Berg, Ole B. Christensen, Katharina Klehmet, Geert Lenderink, Jonas Olsson, Claas Teichmann, and Wei Yang
Nat. Hazards Earth Syst. Sci., 19, 957–971, https://doi.org/10.5194/nhess-19-957-2019,https://doi.org/10.5194/nhess-19-957-2019, 2019
Short summary
The development and evaluation of a hydrological seasonal forecast system prototype for predicting spring flood volumes in Swedish rivers
Kean Foster, Cintia Bertacchi Uvo, and Jonas Olsson
Hydrol. Earth Syst. Sci., 22, 2953–2970, https://doi.org/10.5194/hess-22-2953-2018,https://doi.org/10.5194/hess-22-2953-2018, 2018
Short summary
Technical Note: Initial assessment of a multi-method approach to spring-flood forecasting in Sweden
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

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. 
Publications Copernicus
Download
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.
Citation