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BoXPol consisted of Radome-less EEC DWSR-2001-X-SDP radar system (for detailed information, see https://www.essweather.com/products/x-band-weather-radar-from-eec), located on a 30-meter-high building in close proximity to the Institute of Geosciences, Section Meteorology, at the University of Bonn. Equipped with a random-phase magnetron and operating in Simultaneous Dual Polarization (SIDpol), the radar transmitted and received horizontally and vertically polarized electromagnetic waves (STAR/SHV mode). BoXPol was funded in 2008 by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) in the framework of the Collaborative Research Center TR32 (Patterns in Soil–Vegetation–Atmosphere Systems: Monitoring, Modelling and Data Assimilation). The data set comprises volume scans including 10 elevation angles between 0.5° and 28°, as well as a birdbath (90°) scan (available since 2013) and a range-height indicator (RHI) scan pointing towards its twin X-band radar, JuXPol, located in Jülich. The azimuthal resolution is 1°, while the radial resolution ranges from 25 m to 200 m. Volume scans have a temporal resolution of 5 min and are provided in daily files for each elevation angle. The following polarimetric variables are provided: Uncorrected/corrected horizontal/vertical reflectivity factor (ZH/ZV), differential reflectivity (ZDR), copolar cross-correlation coefficient (RHOHV), differential phase shift (PHIDP), specific differential phase (KDP), horizontal/vertical radial velocities (VRADH/VRADV) and horizontal/vertical spectral width of the radial velocity (WRADH/WRADV). Depending on the year, additional variables, such as a clutter map (CMAP) and signal-to-noise ratio (SNR), are also available. More detailed information about BoXPol can be found in, e.g. Scharbach et al. (2026), Pejcic et al. (2022) and Diederich et al. (2015). The dataset has demonstrated considerable scientific value over the years and has been used in quantitative precipitation estimation (QPE), (ice-)microphysical retrievals and process studies, investigations of microphysical precipitation formation in the regional climate of Western Germany, hydrometeor classification (HC), and the evaluation and improvement of numerical weather prediction (NWP) models."}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Earth and Environmental Sciences","Physics"]},{"typeName":"freeKeyword","multiple":true,"typeClass":"compound","value":[{"freeKeywordValue":{"typeName":"freeKeywordValue","multiple":false,"typeClass":"primitive","value":"Radar data"}},{"freeKeywordValue":{"typeName":"freeKeywordValue","multiple":false,"typeClass":"primitive","value":"Volume scan"}},{"freeKeywordValue":{"typeName":"freeKeywordValue","multiple":false,"typeClass":"primitive","value":"PPi"}},{"freeKeywordValue":{"typeName":"freeKeywordValue","multiple":false,"typeClass":"primitive","value":"RHi"}},{"freeKeywordValue":{"typeName":"freeKeywordValue","multiple":false,"typeClass":"primitive","value":"Birdbath"}},{"freeKeywordValue":{"typeName":"freeKeywordValue","multiple":false,"typeClass":"primitive","value":"Polarimetric variables"}},{"freeKeywordValue":{"typeName":"freeKeywordValue","multiple":false,"typeClass":"primitive","value":"Radial (Doppler) velocity"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationRelationType":{"typeName":"publicationRelationType","multiple":false,"typeClass":"controlledVocabulary","value":"References"},"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Pejcic, V., Soderholm, J., Mühlbauer, K., Louf, V., & Trömel, S. 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EGUsphere."},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"doi"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"10.5194/egusphere-2026-2523"},"publicationURL":{"typeName":"publicationURL","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.5194/egusphere-2026-2523"}},{"publicationRelationType":{"typeName":"publicationRelationType","multiple":false,"typeClass":"controlledVocabulary","value":"References"},"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Trömel, S., Ryzhkov, A. V., Hickman, B., & Simmer, C. (2017, August 28–September 1). Climatology of the vertical profiles of polarimetric radar variables at X band in stratiform clouds [Extended conference paper]. 38th Conference on Radar Meteorology, Chicago, Illinois, United States. https://ams.confex.com/ams/38RADAR/webprogram/Manuscript/Paper320485/ExtAbstract_Troemel_AMS_Radar2017.pdf"},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"url"},"publicationURL":{"typeName":"publicationURL","multiple":false,"typeClass":"primitive","value":"https://ams.confex.com/ams/38RADAR/webprogram/Manuscript/Paper320485/ExtAbstract_Troemel_AMS_Radar2017.pdf"}},{"publicationRelationType":{"typeName":"publicationRelationType","multiple":false,"typeClass":"controlledVocabulary","value":"References"},"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Chen, J.-Y., Reinoso-Rondinel, R., Trömel, S., Simmer, C., & Ryzhkov, A. V. (2023). A radar-based quantitative precipitation estimation algorithm to overcome the impact of vertical gradients of warm-rain precipitation: The flood in western Germany on 14 July 2021. Journal of Hydrometeorology, 24(3), 521–536."},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"10.1175/JHM-D-22-0111.1"},"publicationURL":{"typeName":"publicationURL","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.1175/JHM-D-22-0111.1"}}]},{"typeName":"notesText","multiple":false,"typeClass":"primitive","value":"In addition to the peer-reviewed publications accumulated over the years of BoXPol operation, BoXPol data has also been used and analyzed in numerous conference contributions, BSc/MSc theses and dissertations. Please note, that the radar data provided is not calibrated (ZH, ZDR). The radial velocities (e.g., VRADH) have also not been de-aliased and PHIDP has not been adjusted or unfolded. The provided KDP iis generated by the signal processor and mostly not recommended to be used. Furthermore, no georeferencing has been performed yet. For the calibration of ZDR and ZH, please see the publications Pejcic et al. (2022), Scharbach et al. (2026) and Scharbach and Trömel (2026), as well as related datasets available in Scharbach (2026a/b/c) or Pejcic et al. (2021). For reading/writing, georeferencing, further processing (e.g. PHIDP, KDP derivation) and radar data visualization, we highly recommend the Python module wradlib (Heistermann et al., 2013; https://wradlib.org/), the Python module xradar (Grover et al., 2026; https://docs.openradarscience.org/projects/xradar/en/stable/), the Python module Py-ART (Helmus and Collis, 2016; https://arm-doe.github.io/pyart/#what-is-py-art) and Towerpy (Sanchez-Rivas and Rico-Ramirez, 2023; https://towerpy.readthedocs.io/en/latest/index.html), as well as the hybrid utilization of all. For more information (e.g. about the data structure) see Readme.txt file."},{"typeName":"language","multiple":true,"typeClass":"controlledVocabulary","value":["English"]},{"typeName":"producer","multiple":true,"typeClass":"compound","value":[{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"Simmer, Clemens"},"producerAffiliation":{"typeName":"producerAffiliation","multiple":false,"typeClass":"primitive","value":"University of Bonn"}},{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"Trömel, Silke"},"producerAffiliation":{"typeName":"producerAffiliation","multiple":false,"typeClass":"primitive","value":"University of Bonn"}},{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"Lennefer, Martin"},"producerAffiliation":{"typeName":"producerAffiliation","multiple":false,"typeClass":"primitive","value":"University of Bonn"}},{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"Mühlbauer, Kai"},"producerAffiliation":{"typeName":"producerAffiliation","multiple":false,"typeClass":"primitive","value":"University of Bonn"}}]},{"typeName":"productionDate","multiple":false,"typeClass":"primitive","value":"2009-01-01"},{"typeName":"productionPlace","multiple":false,"typeClass":"primitive","value":"Auf dem Hügel 16 and 20, 53121, Bonn, Germany"},{"typeName":"contributor","multiple":true,"typeClass":"compound","value":[{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Funder"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Simmer, Clemens"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Supervisor"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Trömel, Silke"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Data Curator"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Mühlbauer, Kai"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Data Curator"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Lennefer, Martin"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Data Collector"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"GAMIC | Weather Radar and Signal Processing"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Researcher"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Scharbach, Tobias"}},{"contributorType":{"typeName":"contributorType","multiple":false,"typeClass":"controlledVocabulary","value":"Researcher"},"contributorName":{"typeName":"contributorName","multiple":false,"typeClass":"primitive","value":"Pejcic, Velibor"}}]},{"typeName":"grantNumber","multiple":true,"typeClass":"compound","value":[{"grantNumberAgency":{"typeName":"grantNumberAgency","multiple":false,"typeClass":"primitive","value":"Deutsche Forschungsgemeinschaft (DFG)"},"grantNumberValue":{"typeName":"grantNumberValue","multiple":false,"typeClass":"primitive","value":"15232683"}}]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Mühlbauer, Kai"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2026-06-24"},{"typeName":"dateOfCollection","multiple":true,"typeClass":"compound","value":[{"dateOfCollectionStart":{"typeName":"dateOfCollectionStart","multiple":false,"typeClass":"primitive","value":"2009-01-01"},"dateOfCollectionEnd":{"typeName":"dateOfCollectionEnd","multiple":false,"typeClass":"primitive","value":"2023-03-09"}}]},{"typeName":"kindOfData","multiple":true,"typeClass":"primitive","value":["X-band radar PPi data, saved in .mvol and .h5 format"]},{"typeName":"software","multiple":true,"typeClass":"compound","value":[{"softwareName":{"typeName":"softwareName","multiple":false,"typeClass":"primitive","value":"GAMIC"},"softwareVersion":{"typeName":"softwareVersion","multiple":false,"typeClass":"primitive","value":"Hardware changes from ENGIMA signal processor 3 (to 2017-04-0) to 4 (from 2017-04-03 to 2023-03-09))"}}]},{"typeName":"relatedDatasets","multiple":true,"typeClass":"primitive","value":["Scharbach, T. (2026c). Data set of quasi-vertical profiles (QVPs) generated from 10 years (2013-2023) of the BoXPol radar in stratiform conditions, related to the study \"Long-term climatology of vertical profiles of polarimetric variables and ice-microphysical retrievals at X-band. Part 2: Climatology\" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.22800899","Scharbach, T. (2026b). Python jupyter notebooks for calibration of ZH/ZDR and provided offset values, related to the study: \"Long-term climatology of vertical profiles of polarimetric variables and ice-microphysical retrievals at X-band. Part 1: Radar calibration\" (Version 2) [Data set + Code]. Zenodo. https://doi.org/10.5281/zenodo.20796890","Pejcic, V., Soderholm, J., Mühlbauer, K., Louf, V., & Trömel, S. (2021). Polarimetric X-band radar data of the University of Bonn BoXPol 5min level2 (Version 20201127) 2014–2019 (Version 1) [Data set]. World Data Center for Climate at DKRZ. https://doi.org/10.26050/WDCC/BoxPol_UniBonn_Radar_5min_leve","Scharbach, T. (2026a). ERA5 reanalysis data interpolated to the 18° QVPs/PPIs generated with the X-band radar in Bonn (BoXPol) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.20799703","Shrestha, P., Mendrok, J., Pejcic, V., Trömel, S., Blahak, U., & Carlin, J. T. (2021). Software documentation for COSMO model (v5.1) evaluation with X-band polarimetric radar data using B-PRO (v2.0) [Data set and software]. Zenodo. https://doi.org/10.5281/zenodo.5218717","Shrestha, P. (2021). High resolution hydrological simulations over Bonn Radar Domain (Version 1) [Data set]. CRC/TR32 Database. https://doi.org/10.5880/TR32DB.40"]},{"typeName":"otherReferences","multiple":true,"typeClass":"primitive","value":["Ryzhkov, A. V., & Zrnić, D. S. (2019). Radar polarimetry for weather observations. Springer International Publishing. https://doi.org/10.1007/978-3-030-05093-1","Doviak, R. J., & Zrnić, D. S. (2006). Doppler Radar and Weather Observations (2nd ed.) ISBN-10:0486450600. Dover Publications.","Rinehart, R. E. (2004). Radar for Meteorologists (4th ed.). Rinehart Publishing. 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