Have a personal or library account? Click to login

References

  1. 1Carlsson, I 1995 NORDRAD – Weather Radar Network. See [2], 4552.
  2. 2Collier, C G (ed.) 1995 COST 75 Weather Radar Systems. Brussels: European Commission. EUR 1601 EN. 814.
  3. 3Raschke, E, Meywerk, J, Warrach, K, Andræ, U, Bergström, S, Beyrich, F, Bosveld, F, Bumke, K, Fortelius, C, Graham, L P, Gryning, S-E, Halldin, S, Hasse, L, Heikinheimo, M, Isemer, H-J, Jacob, D, Jauja, I, Karlsson, K-G, Keevallik, S, Koistinen, J, Lehmann, A, Liljebladh, B, Lobmeyr, M, Matthäus, W, Mengelkamp, T, Michelson, D B, Napiórkowski, J, Omstedt, A, Piechura, J, Rockel, B, Rubel, F, Ruprecht, E, Smedman, A-S and Stigebrandt, A 2001 The Baltic Sea Experiment (BALTEX): A European Contribution to the Investigation of Energy and Water Cycle over a Large Drainage Basin. Bull. Amer. Meteor. Soc, 82(11): 23892413. DOI: 10.1175/1520-0477(2001)082<;2389:TBSEBA>2.3.CO;2
  4. 4Michelson, D B, Andersson, T, Koistinen, J, Collier, C G, Riedl, J, Szturc, J, Gjertsen, U, Nielsen, A and Overgaard, S 2000 BALTEX Radar Data Centre Products and their Methodologies, 76. Reports Meteorology and Climatology RMK No. 90, SMHI, SE-601 76 Norrköping, Sweden.
  5. 5Koistinen, J and Michelson, D B 2002 BALTEX Weather Radar-based Precipitation Products and their Accuracies. Boreal Env. Res, 7(3): 253263. ISSN 1239-6095.
  6. 6Heistermann, M, Collis, S, Dixon, M, Giangrande, S, Helmus, J, Kelley, B, Koistinen, J, Michelson, D, Peura, M, Pfaff, T and Wolff, D 2014 The Emergence of Open-Source Software for the Weather Radar Community. Bull. Am. Meteorol. Soc, 96(1): 117128. DOI: 10.1175/BAMS-D-13-00240.1
  7. 7Dixon, M and Wiener, G 1993 TITAN: Thunderstorm Identification, Tracking, Analysis, and Nowcasting—A radar-based methodology. J. Atmos. Oceanic Technol., 10: 785797. DOI: 10.1175/1520-0426(1993)010<;0785:TTITAA>2.0.CO;2
  8. 8Helmus, J J and Collis, S M 2016 The Python ARM Radar Toolkit (Py-ART), a Library for Working with Weather Radar Data in the Python Programming Language. Journal of Open Research Software, 4(1): e25. DOI: 10.5334/jors.119
  9. 9Heistermann, M, Jacobi, S and Pfaff, T 2013 Technical Note: An open source library for processing weather radar data (wradlib). Hydrol. Earth Syst. Sci, 17(2): 863871. DOI: 10.5194/hess-17-863-2013
  10. 10Michelson, D, Lewandowski, R, Szewczykowski, M, Beekhuis, H and Haase, G 2014 EUMETNET OPERA weather radar information model for implementation with the HDF5 file format, version 2.2. EUMETNET OPERA Deliverable, 38. http://www.eumetnet.eu/sites/default/files/OPERA2014_O4_ODIM_H5-v2.2.pdf.
  11. 11Peura, M 2002 Computer vision methods for anomaly removal. Proc. Second European Conf. on Radar Meteorology, 312317. Delft, Netherlands. Delft University of Technology. http://copernicus.org/erad/online/erad-312.pdf.
  12. 12Ośródka, K, Szturc, J and Jurczyk, A 2014 Chain of data quality algorithms for 3-D single-polarization radar reflectivity (RADVOL-QC system). Meteorol. Appl, 21: 256270. DOI: 10.1002/met.1323
  13. 13Haase, G and Landelius, T 2004 Dealiasing of Doppler Radar Velocities Using a Torus Mapping. J. Atmos. Oceanic Technol, 21: 15661573. DOI: 10.1175/1520-0426(2004)021<;1566:DODRVU>2.0.CO;2
  14. 14Huuskonen, A, Saltikoff, E and Holleman, I 2014 The Operational Weather Radar Network in Europe. Bull. Am. Meteorol. Soc, 95(6). DOI: 10.1175/BAMS-D-12-00216.1
  15. 15Heistermann, M, Collis, S, Dixon, M, Helmus, J, Henja, A, Michelson, D and Pfaff, T 2015 An Open Virtual Machine for Cross-Platform Weather Radar Science. Bull. Am. Meteorol. Soc, 96: 16411645. DOI: 10.1175/BAMS-D-14-00220.1
  16. 16Gu, J-Y, Ryzhkov, A, Zhang, P, Neilley, P, Knight, M, Wolf, B and Lee, D-I 2011 Polarimetric Attenuation Correction in Heavy Rain at C Band. J. Appl. Meteor. Climatol, 50: 3958. DOI: 10.1175/2010JAMC2258.1
  17. 17Boodoo, S, Hudak, D, Ryzhkov, A, Zhang, P, Donaldson, N, Sills, D and Ried, J 2015 Quantitative Precipitation Estimation from a C-Band Dual-Polarized Radar for the 8 July 2013 Flood in Toronto, Canada. J. Hydrometeor, 16: 20272044. DOI: 10.1175/JHM-D-15-0003.1
  18. 18Ridal, M and Dahlbom, M 2017 Assimilation of Multinational Radar Reflectivity Data in a Mesoscale Model: A Proof of Concept. J. Appl. Meteor. Climatol, 56: 17391751. DOI: 10.1175/JAMC-D-16-0247.1
DOI: https://doi.org/10.5334/jors.193 | Journal eISSN: 2049-9647
Language: English
Submitted on: Sep 12, 2017
Accepted on: Feb 22, 2018
Published on: Mar 19, 2018
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2018 Daniel Michelson, Anders Henja, Sander Ernes, Günther Haase, Jarmo Koistinen, Katarzyna Ośródka, Tuomas Peltonen, Maciej Szewczykowski, Jan Szturc, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.