Hänsler, A. and Weiler, M.: Enhancing the usability of weather radar data for the statistical analysis of extreme precipitation events, Hydrol. Earth Syst. Sci., 26, 5069–5084, https://doi.org/10.5194/hess-26-5069-2022, 2022.
Hoffmann, M., Schwartengräber, R., Wessolek, W., and Peters, A.:
Comparison of simple rain gauge measurements with precision lysimeter data,
Atmos. Res., 174–175, 120–123,
https://doi.org/10.1016/j.atmosres.2016.01.016, 2016.
Imhoff, R., Brauer, C., van Heeringen, K.-J., Leijnse, H., Overeem, A., Weerts, A., and Uijlenhoet, R.: A climatological benchmark for operational radar rainfall bias reduction, Hydrol. Earth Syst. Sci., 25, 4061–4080, https://doi.org/10.5194/hess-25-4061-2021, 2021.
Jurczyk, A., Szturc, J., and Ośródka, K.: Quality-based compositing
of weather radar QPE estimates, Meteorol. Appl., 27, e1812,
https://doi.org/10.1002/met.1812, 2020a.
Jurczyk, A., Szturc, J., Otop, I., Ośródka, K., and Struzik, P.:
Quality-based combination of multi-source precipitation data, Remote
Sens., 12, 1709, https://doi.org/10.3390/rs12111709, 2020b.
Lengfeld, K., Kirstetter, P.-E., Fowler, H. J., Yu, J., Becker, B., Flamig,
Z., and Gourley, J.: Use of radar data for characterizing extreme
precipitation at fine scales and short durations, Environ. Res.
Lett., 15, 085003, https://doi.org/10.1088/1748-9326/ab98b4, 2020.
Marra, F., Armon, M., and Morin, E.: Coastal and orographic effects on extreme precipitation revealed by weather radar observations, Hydrol. Earth Syst. Sci., 26, 1439–1458, https://doi.org/10.5194/hess-26-1439-2022, 2022.
Morbidelli, R., Saltalippi, C., Flammini, A., Corradini, C., Wilkinson, S.
M., and Fowler, H. J.: Influence of temporal data aggregation on trend
estimation for intense rainfall, Adv. Water Resour., 122, 304–316,
https://doi.org/10.1016/j.advwatres.2018.10.027, 2018.
Neuper, M. and Ehret, U.: Quantitative precipitation estimation with weather radar using a data- and information-based approach, Hydrol. Earth Syst. Sci., 23, 3711–3733, https://doi.org/10.5194/hess-23-3711-2019, 2019.
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.
Ośródka, K. and Szturc, J.: Improvement in algorithms for quality control of weather radar data (RADVOL-QC system), Atmos. Meas. Tech., 15, 261–277, https://doi.org/10.5194/amt-15-261-2022, 2022.
Ośródka K., Szturc J., and Jurczyk A.: Chain of data quality
algorithms for 3-D single-polarization radar reflectivity (RADVOL-QC
system), Meteorol. Appl., 21, 256–270,
https://doi.org/10.1002/met.1323, 2014.
Ośródka, K., Otop, I., and Szturc, J.: Automatic quality control of telemetric rain gauge data providing quantitative quality information (RainGaugeQC), Atmos. Meas. Tech., 15, 5581–5597, https://doi.org/10.5194/amt-15-5581-2022, 2022.
Overeem, A., van den Besselaar, E., van der Schrier, G., Meirink, J. F., van der Plas, E., and Leijnse, H.: EURADCLIM: the European climatological high-resolution gauge-adjusted radar precipitation dataset, Earth Syst. Sci. Data, 15, 1441–1464, https://doi.org/10.5194/essd-15-1441-2023, 2023.
Park, S., Berenguer, M., and Sempere-Torres, D.: Long-term analysis of
gauge-adjusted radar rainfall accumulations at European scale, J.
Hydrol., 573, 768–777, https://doi.org/10.1016/j.jhydrol.2019.03.093,
2019.
Piscitelli, F. M., Ruiz, J. J., Negri, P., and Salio, P.: A multiyear
radar-based climatology of supercell thunderstorms in central-eastern
Argentina, Atmos. Res., 277, 106283,
https://doi.org/10.1016/j.atmosres.2022.106283, 2022.
Saltikoff, E., Friedrich, K., Soderholm, J., Lengfeld, K., Nelson, B.,
Becker, A., Hollmann, R., Urban, B., Heistermann, M., and Tassone, C.: An
overview of using weather radar for climatological studies: Successes,
challenges, and potential, B. Am. Meteorol. Soc.,
100, 1739-1752, https://doi.org/10.1175/BAMS-D-18-0166.1, 2019a.
Saltikoff, E., Haase, G., Delobbe, L., Gaussiat, N., Martet, M., Idziorek,
D., Leijnse, H., Novák, P., Lukach, M., and Stephan, K.: OPERA the radar
project, Atmosphere, 10, 320, https://doi.org/10.3390/atmos10060320, 2019b.
Segovia-Cardozo, D. A., Rodríguez-Sinobas, L., Díez-Herrero, A.,
Zubelzu, S., and Canales-Ide, F.: Understanding the mechanical biases of
tipping-bucket rain gauges: A semi-analytical calibration approach, Water,
13, 2285, https://doi.org/10.3390/w13162285, 2021.
Sokol, Z., Szturc, J., Orellana-Alvear, J., Popová, J., Jurczyk, A., and
Célleri, R.: The role of weather radar in rainfall estimation and its
application in meteorological and hydrological modelling – A review, Remote
Sens., 13, 351, https://doi.org/10.3390/rs13030351, 2021.
Szturc, J., Jurczyk, A., Ośródka, K., Wyszogrodzki, A., and
Giszterowicz, M.: Precipitation estimation and nowcasting at IMGW-PIB (SEiNO
system), Meteorol. Hydrol. Water Manage., 6, 3–12,
https://doi.org/10.26491/mhwm/76120, 2018.
Tapiador, F. J., Marcos, C., and Sancho, J. M.: The convective rainfall rate
from cloud physical properties algorithm for Metaset Second-Generation
satellites: Microphysical basis and intercomparisons using an object-based
method, Remote Sens., 11, 527, https://doi.org/10.3390/rs11050527, 2019.
Villalobos-Herrera, R., Blenkinsop, S., Guerreiro, S. B., O'Hara, T., and
Fowler, H. J.: Sub-hourly resolution quality control of rain gauge data
significantly improves regional sub-daily return level estimates, Q.
J. Roy. Meteorol. Soc., 148, 3252–3271,
https://doi.org/10.1002/qj.4357, 2022.
Wagner, A., Seltmann, J., and Kunstmann, H.: Joint statistical correction of clutters, spokes and beam height for a radar derived precipitation climatology in southern Germany, Hydrol. Earth Syst. Sci., 16, 4101–4117, https://doi.org/10.5194/hess-16-4101-2012, 2012.
Wang, K.-H., Chu, T., Yang, M.-D., and Chen, M.-C.: Geostatistical based
models for the spatial adjustment of radar rainfall data in typhoon events
at a high-elevation river watershed, Remote Sens., 12, 1427,
https://doi.org/10.3390/rs12091427, 2020.
Wetchayont, P., Ekkawatpanit, C., Rueangrit, S., and Manduang, J.:
Improvements in rainfall estimation over Bangkok, Thailand by merging
satellite, radar, and gauge rainfall datasets with the geostatistical
method, Big Earth Data, 7, 251–257,
https://doi.org/10.1080/20964471.2023.2171581, 2023.
WMO-No. 305: Guide on the Global Data-processing System, World
Meteorological Organization, Geneva, 199 pp., ISBN 978-92-63-13305-2,
https://library.wmo.int/index.php?lvl=notice_display&id=6832#.Y1AI4uTP2Uk (last access: 29 August 2023), 1993.
