David, N., Alpert, P., and Messer, H.: Technical Note: Novel method for water vapour monitoring using wireless communication networks measurements, Atmos. Chem. Phys., 9, 2413–2418,
https://doi.org/10.5194/acp-9-2413-2009, 2009.
a
de Vos, L. W., Leijnse, H., Overeem, A., and Uijlenhoet, R.: Quality
control for crowdsourced personal weather stations to enable operational
rainfall monitoring, Geophys. Res. Lett., 46, 8820–8829,
https://doi.org/10.1029/2019GL083731, 2019.
a,
b
Doumounia, A., Gosset, M., Cazenave, F., Kacou, M., and Zougmore, F.:
Rainfall monitoring based on microwave links from cellular
telecommunication networks: First results from a West African test bed,
Geophys. Res. Lett., 41, 6016–6022,
https://doi.org/10.1002/2014GL060724, 2014.
a
Fencl, M., Valtr, P., Kvicera, M., and Bareš, V.: Quantifying wet
antenna attenuation in 38-GHz commercial microwave links of cellular
backhaul, IEEE Geosci. Remote S., 16, 514–518,
https://doi.org/10.1109/LGRS.2018.2876696, 2019.
a
Fencl, M., Dohnal, M., Valtr, P., Grabner, M., and Bareš, V.: Atmospheric observations with E-band microwave links – challenges and opportunities, Atmos. Meas. Tech., 13, 6559–6578,
https://doi.org/10.5194/amt-13-6559-2020, 2020.
a,
b
Graf, M., Chwala, C., Polz, J., and Kunstmann, H.: Rainfall estimation from a German-wide commercial microwave link network: optimized processing and validation for 1 year of data, Hydrol. Earth Syst. Sci., 24, 2931–2950,
https://doi.org/10.5194/hess-24-2931-2020, 2020.
a,
b,
c
Graf, M., El Hachem, A., Eisele, M., Seidel, J., Chwala, C., Kunstmann,
H., and Bárdossy, A.: Rainfall estimates from opportunistic sensors in
Germany across spatio-temporal scales, Journal of Hydrology: Regional
Studies, 37, 100883,
https://doi.org/10.1016/j.ejrh.2021.100883, 2021.
a
Heistermann, M., Jacobi, S., and Pfaff, T.: Technical Note: An open source library for processing weather radar data (
wradlib), Hydrol. Earth Syst. Sci., 17, 863–871,
https://doi.org/10.5194/hess-17-863-2013, 2013.
a
Imhoff, R. O., Overeem, A., Brauer, C. C., Leijnse, H., Weerts, A. H.,
and Uijlenhoet, R.: Rainfall nowcasting using commercial microwave
links, Geophys. Res. Lett., 47, e2020GL089365.
https://doi.org/10.1029/2020GL089365, 2020.
a
ITU-R: Specific attenuation model for rain for use in prediction methods
(Recommendation P.838-3), ITU-R, Geneva, Switzerland,
https://www.itu.int/rec/R-REC-P.838-3-200503-I/en (last access: 12 May 2022), 2005.
a,
b,
c
Kharadly, M. and Ross, R.: Effect of wet antenna attenuation on
propagation data statistics, IEEE T. Antenn. Propag., 49, 1183–1191,
https://doi.org/10.1109/8.943313, 2001.
a
Leijnse, H., Uijlenhoet, R., and Stricker, J.: Microwave link rainfall
estimation: Effects of link length and frequency, temporal sampling,
power resolution, and wet antenna attenuation, Adv. Water Resour., 31, 1481–1493,
https://doi.org/10.1016/j.advwatres.2008.03.004, 2008.
a,
b,
c
Minda, H. and Nakamura, K.: High temporal resolution path-average rain
gauge with 50-GHz band microwave, J. Atmos. Ocean. Tech., 22, 165–179,
https://doi.org/10.1175/JTECH-1683.1, 2005.
a
Moroder, C., Siart, U., Chwala, C., and Kunstmann, H.: Modeling of wet
antenna attenuation for precipitation estimation from microwave links,
IEEE Geosci. Remote S., 17, 386–390,
https://doi.org/10.1109/LGRS.2019.2922768, 2020.
a
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.
a
Overeem, A., Leijnse, H., and Uijlenhoet, R.: Measuring urban rainfall
using microwave links from commercial cellular communication networks,
Water Resour. Res., 47, W12505,
https://doi.org/10.1029/2010WR010350, 2011.
a
Overeem, A., Leijnse, H., and Uijlenhoet, R.: Country-wide rainfall maps
from cellular communication networks, P. Natl. Acad. Sci. USA, 110, 2741–2745,
https://doi.org/10.1073/pnas.1217961110, 2013.
a
Pastorek, J., Fencl, M., Rieckermann, J., and Bareš, V.: Microwave link
rainfall data for urban drainage modelling: Reducing the systematic
errors under data-scarce conditions in Conference Proceedings – 15th
International Conference on Urban Drainage, 25–28 October 2021, Oxford, UK, International Water Association, 15th International Conference on Urban Drainage 2021 Delegate Handbook, edited by: McCarthy, D., 683–685, 2021. a
Pastorek, J., Fencl, M., Rieckermann, J., and Bareš, V.: Precipitation
est
imates from commercial microwave links: Practical approaches to
wet-antenna correction, IEEE T. Geosci. Remote, 60, 1–9,
https://doi.org/10.1109/TGRS.2021.3110004, 2022.
a,
b,
c,
d,
e
Peleg, N., Ben-Asher, M., and Morin, E.: Radar subpixel-scale rainfall variability and uncertainty: lessons learned from observations of a dense rain-gauge network, Hydrol. Earth Syst. Sci., 17, 2195–2208,
https://doi.org/10.5194/hess-17-2195-2013, 2013.
a,
b
Peterson, T. C., Easterling, D. R., Karl, T. R., Groisman, P., Nicholls,
N., Plummer, N., Torok, S., Auer, I., Boehm, R., Gullett, D., Vincent,
L., Heino, R., Tuomenvirta, H., Mestre, O., Szentimrey, T., Salinger,
J., Førland, E. J., Hanssen-Bauer, I., Alexandersson, H., Jones, P., and
Parker, D.: Homogeneity adjustments of in situ atmospheric climate data:
A review, Int. J. Climatol., 18, 1493–1517,
https://doi.org/10.1002/(SICI)1097-0088(19981115)18:13<1493::AID-JOC329>3.0.CO;2-T,
1998.
a
Schleiss, M., Rieckermann, J., and Berne, A.: Quantification and
modeling of wet-antenna attenuation for commercial microwave links, in
IEEE Geosci. Remote S., 10, 1195–1199,
https://doi.org/10.1109/LGRS.2012.2236074, 2013.
a,
b,
c,
d
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.
a
Špačková, A., Bareš, V., Fencl, M., Schleiss, M., Jaffrain, J., Berne, A., and Rieckermann, J.: A year of attenuation data from a commercial dual-polarized duplex microwave link with concurrent disdrometer, rain gauge, and weather observations, Earth Syst. Sci. Data, 13, 4219–4240,
https://doi.org/10.5194/essd-13-4219-2021, 2021.
a
Špačková, A., Fencl, M., and Bareš, V.: Data for the paper Evaluation of error components in rainfall retrieval from collocated commercial microwave links, Zenodo [data set],
https://doi.org/10.5281/zenodo.8009877, 2023.
a
Valtr, P., Pechac, P., Kvicera, V., and Grabner, M.: Estimation of the
refractivity structure of the lower troposphere from measurements on a
terrestrial multiple-receiver 85 radio link, IEEE T. Antenn. Propag.,
59, 1707–1715,
https://doi.org/10.1109/TAP.2011.2122234, 2011.
a
van de Beek, R. (C. Z. )., Olsson, J., and Andersson, J.: Optimal grid resolution for precipitation maps from commercial microwave link networks, Adv. Sci. Res., 17, 79–85,
https://doi.org/10.5194/asr-17-79-2020, 2020.
a
van Leth, T. C., Overeem, A., Leijnse, H., and Uijlenhoet, R.: A measurement campaign to assess sources of error in microwave link rainfall estimation, Atmos. Meas. Tech., 11, 4645–4669,
https://doi.org/10.5194/amt-11-4645-2018, 2018.
a,
b,
c,
d,
e
Walraven, B., Overeem, A., Leijnse, H., Coenders, M., Hut, R., van der Valk, L., and Uijlenhoet, R.: Considering local network characteristics and environmental conditions improves rainfall estimates from commercial microwave links in Sri Lanka, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9544,
https://doi.org/10.5194/egusphere-egu22-9544, 2022.
a