Articles | Volume 24, issue 6
https://doi.org/10.5194/hess-24-2931-2020
https://doi.org/10.5194/hess-24-2931-2020
Research article
 | 
04 Jun 2020
Research article |  | 04 Jun 2020

Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data

Maximilian Graf, Christian Chwala, Julius Polz, and Harald Kunstmann

Related authors

Improved rain event detection in Commercial Microwave Link time series via combination with MSG SEVIRI data
Andreas Wagner, Christian Chwala, Maximilian Graf, Julius Polz, Llorenç Lliso, José Alberto Lahuerta, and Harald Kunstmann
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-175,https://doi.org/10.5194/amt-2023-175, 2023
Revised manuscript accepted for AMT
Short summary
Rain event detection in commercial microwave link attenuation data using convolutional neural networks
Julius Polz, Christian Chwala, Maximilian Graf, and Harald Kunstmann
Atmos. Meas. Tech., 13, 3835–3853, https://doi.org/10.5194/amt-13-3835-2020,https://doi.org/10.5194/amt-13-3835-2020, 2020
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Instruments and observation techniques
Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates
Aart Overeem, Hidde Leijnse, Gerard van der Schrier, Else van den Besselaar, Irene Garcia-Marti, and Lotte Wilhelmina de Vos
Hydrol. Earth Syst. Sci., 28, 649–668, https://doi.org/10.5194/hess-28-649-2024,https://doi.org/10.5194/hess-28-649-2024, 2024
Short summary
Statistical characteristics of raindrop size distribution during rainy seasons in complicated mountain terrain
Wenqian Mao, Wenyu Zhang, and Menggang Kou
Hydrol. Earth Syst. Sci., 27, 3895–3910, https://doi.org/10.5194/hess-27-3895-2023,https://doi.org/10.5194/hess-27-3895-2023, 2023
Short summary
Evaluation of precipitation measurement methods using data from a precision lysimeter network
Tobias Schnepper, Jannis Groh, Horst H. Gerke, Barbara Reichert, and Thomas Pütz
Hydrol. Earth Syst. Sci., 27, 3265–3292, https://doi.org/10.5194/hess-27-3265-2023,https://doi.org/10.5194/hess-27-3265-2023, 2023
Short summary
Quantitative rainfall analysis of the 2021 mid-July flood event in Belgium
Michel Journée, Edouard Goudenhoofdt, Stéphane Vannitsem, and Laurent Delobbe
Hydrol. Earth Syst. Sci., 27, 3169–3189, https://doi.org/10.5194/hess-27-3169-2023,https://doi.org/10.5194/hess-27-3169-2023, 2023
Short summary
Multi-scale temporal analysis of evaporation on a saline lake in the Atacama Desert
Felipe Lobos-Roco, Oscar Hartogensis, Francisco Suárez, Ariadna Huerta-Viso, Imme Benedict, Alberto de la Fuente, and Jordi Vilà-Guerau de Arellano
Hydrol. Earth Syst. Sci., 26, 3709–3729, https://doi.org/10.5194/hess-26-3709-2022,https://doi.org/10.5194/hess-26-3709-2022, 2022
Short summary

Cited articles

Atlas, D. and Ulbrich, C. W.: Path- and Area-Integrated Rainfall Measurement by Microwave Attenuation in the 1–3 cm Band, J. Appl. Meteorol., 16, 1322–1331, https://doi.org/10.1175/1520-0450(1977)016<1322:PAAIRM>2.0.CO;2, 1977. a
Bartels, H., Weigl, E., Reich, T., Lang, P., Wagner, A., Kohler, O., and Gerlach, N.: Routineverfahren zur Online-Aneichung der Radarniederschlagsdaten mit Hilfe von automatischen Bodenniederschlagsstationen(Ombrometer), Tech. rep., DWD, Offenbach, Germany, 2004. a
Berne, A. and Krajewski, W. F.: Radar for hydrology: Unfulfilled promise or unrecognized potential?, Adv. Water Resour., 51, 357–366, https://doi.org/10.1016/j.advwatres.2012.05.005, 2013. a
Brauer, C. C., Overeem, A., Leijnse, H., and Uijlenhoet, R.: The effect of differences between rainfall measurement techniques on groundwater and discharge simulations in a lowland catchment, Hydrol. Process., 30, 3885–3900, https://doi.org/10.1002/hyp.10898, 2016. a
Chwala, C. and Kunstmann, H.: Commercial microwave link networks for rainfall observation: Assessment of the current status and future challenges, WIRES Water, 6, e1337, https://doi.org/10.1002/wat2.1337, 2019. a, b, c
Download
Short summary
Commercial microwave links (CMLs), which form large parts of the backhaul from the ubiquitous cellular communication networks, can be used to estimate path-integrated rainfall rates. This study presents the processing and evaluation of the largest CML data set to date, covering the whole of Germany with almost 4000 CMLs. The CML-derived rainfall information compares well to a standard precipitation data set from the German Meteorological Service, which combines radar and rain gauge data.