Remote Sensing Observations of Thunderstorm Features in Latvia
References
- [1] Doswell C. A., Rasmussen E. N., Davies-Jones R., Keller D. L. On summary measures of skill in rare event forecasting based on contingency tables. Weather Forecasting 1990:5:576–585.
- [2] Dotzek N., Groenemeijer P., Feuerstein B., Holzer A. M. Overview of ESSL's severe convective storms research using the European Severe Weather Database ESWD. Atmospheric Research 2009:93:575–586. doi:10.1016/j.atmosres.2008.10.02010.1016/j.atmosres.2008.10.020
- [3] Zwiers F. W., Alexander L. V., Hegerl G. C., Knutson T. R., Kossin J. P., Naveau P., Nicholls N., Schar C., Senevirante S. I., Zhang X. Climate extremes: Challenges in estimating and understanding recent changes in the frequency and intensity of extreme climate and weather events. Climate science for serving society: Research, Modeling and Prediction Priorities. London: Springer, 2013.
- [4] Parsons D. B. Continental convective system. Seamless prediction of the Earth system: from minutes to months. Geneva: World Meteorological Organization, 2015.
- [5] Czernecki B., Taszarek M., Kolendowicz L., Konarski J. Relationship between human observations of thunderstorms and the PERUN lightning detection network in Poland. Atmospheric Research 2016:167:118–128. doi:10.1016/j.atmosres.2015.08.00310.1016/j.atmosres.2015.08.003
- [6] Wapler K., James P. Thunderstorm occurrence and characteristics in Central Europe under different synoptic conditions. Atmospheric Research 2015:158–159:231–244. doi:10.1016/j.atmosres.2014.07.01110.1016/j.atmosres.2014.07.011
- [7] Antonescu B., Schultz D. M., Lomas F. Tornadoes in Europe: Synthesis of the Observational Datasets. Monthly Weather Review 2015:144:2445–2480.
- [8] Brooks H. E. Severe thunderstorms and climate change. Atmospheric Research 2013:123:129–138. doi:10.1016/j.atmosres.2012.04.002
- [9] Collins M., Knutti R., Arblaster J., Dufresne J. L., Fichefet T., Friedlingstein P., Gao X., Gutowski W. J., Johns T., Krinner G., Shongwe M., Tebaldi C., Weaver A. J., Wehner M. Long-term climate change: projections, commitments and irreversibility. Climate change 2013: The Physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, 2013.
- [10] Felgitsch L., Grothe H. Up into the sky. A voyage through scales. Stockerau: Boesmueller, 2015.
- [11] Stalker J. R., Knupp K. R. A Method to Identify Convective Cells within Multicell Thunderstorms from Multiple Doppler Radar Data. Monthly Weather Review 2001:130:188–195.
- [12] Burroughs W. Climate: Into the 21st century. Cambridge: Cambridge University Press for World Meteorological Organization, 2003.
- [13] Rauhala J., Schultz D. M. Severe thunderstorm and tornado warnings in Europe. Atmospheric Research 2009:93:369–380. doi:10.1016/j.atmosres.2008.09.02610.1016/j.atmosres.2008.09.026
- [14] Novak P., Kyznarova H. Climatology of lightning in the Czech Republic. Atmospheric Research 2011:100:318–333. doi:10.1016/j.atmosres.2010.08.02210.1016/j.atmosres.2010.08.022
- [15] Makela A., Enno S. E., Haapalainen J. Nordic Lightning Information System: Thunderstorm climate of Northern Europe for the period 2002–2011. Atmospheric Research 2014:139:46–61. doi:10.1016/j.atmosres.2014.01.00810.1016/j.atmosres.2014.01.008
- [16] Enno S. E. A climatology of cloud-to-ground lightning over Estonia, 2005–2009. Atmospheric Research 2011:100:310–317. doi:10.1016/j.atmosres.2010.08.02410.1016/j.atmosres.2010.08.024
- [17] Kaltenboeck R., Steinheimer M. Radar-based severe storm climatology for Austrian complex orography related to vertical wind shear and atmospheric instability. Atmospheric Research 2015:158–159:216–230. doi:10.1016/j.atmosres.2014.08.00610.1016/j.atmosres.2014.08.006
- [18] Dotzek N., Forster C. Quantitative comparison of METEOSAT thunderstorm detection and nowcasting with in situ reports in the European Severe Weather Database (ESWD). Atmospheric Research 2011:100(4):511–522. doi:10.1016/j.atmosres.2010.12.01310.1016/j.atmosres.2010.12.013
- [19] Zhang Z., Zheng D., Zhang Y., Lu G. Spatial-temporal characteristics of lightning flash size in a supercell storm. Atmospheric Research 2017:197:201–210. doi:10.1016/j.atmosres.2017.06.02910.1016/j.atmosres.2017.06.029
- [20] Gravelle C. M., Meckialski J. R., Line W. E., Bedka K. M., Petersen R. A., Sieglaff J. M., Stano G. T., Godman S. J. Demonstration of a GOES-R satellite convective toolkit to “bridge the gap” between severe weather watches and warnings. An example of the 20 May 2013 Moore, Oklahoma, Tornado Outbreak. Bulletin of the American Meteorological Society 2015:69–84.
- [21] Rigo T., Pineda N. Inferring the severity of a multicell thunderstorm evolving to supercell, by means of radar and total lightning. Electronic Journal of Severe Storms Meteorology 2016:11(2):1–27.
- [22] Chantraket P., Kirtsaeng S., Detyothin C., Nakburee A., Mongkala K. Characteristsics of hailstorm over Northern Thailand during summer season. Environment Asia 2015:8(1):101–114. doi:10.14456/ea.2015.1310.14456/ea.2015.13
- [23] Laat A., Defer E., Delanoe J., Dezitter F., Gounou A., Grandin A., Guignard A., Meirink J. F., Moiselin J. M., Parol F. Analysis of geostationary satellite-derived cloud parameters associated with environments with high ice water content. Atmospheric Measurement Techniques 2017:10:1359–1371.
- [24] Nisi L., Ambrosetti P., Clementi L. Nowcasting severe convection in the Alpine region: the COALITION approach. Quarterly Journal of the Royal Meteorological Society 2014:140:1684–1699. doi:10.1002/qj.224910.1002/qj.2249
- [25] Neto C. P. S., Barbosa H. A., Beneti C. A. A. A method for convective storm detection using satellite data. Atmosfera 2016:29(4):343–358. doi:10.20937/ATM.2016.29.04.0510.20937/ATM.2016.29.04.05
- [26] Setvak M., Lindsey D. T., Novak P., Wang P. K., Radova M., Kerkmann J., Grasso L., Su S. H., Rabin R. M., Staska J., Charvat Z. Satellite-observed cold-ring-shaped features atop deep convective clouds. Atmospheric Research 2010:97:80–96. doi:10.1016/j.atmosres.2010.03.00910.1016/j.atmosres.2010.03.009
- [27] Zibert M. I., Zibert J. Monitoring and automatic detection of the cold-ring patterns atop deep convective clouds using Meteosat data. Atmospheric Research 2013:123:281–292. doi:10.1016/j.atmosres.2012.08.00710.1016/j.atmosres.2012.08.007
- [28] Tuovinen J. P., Rauhala J., Schultz D. M. Significant-Hail-Producing Storms in Finland: Convective-Storm Environment and Mode. Weather and Forecasting 2015:30:1064–1076. doi:10.1175/WAF-D-14-00159.110.1175/WAF-D-14-00159.1
- [29] Panziera L., Gabella M., Zanini S., Hering A., Germann U., Berne A. A radar-based regional extreme rainfall analysis to derive the thresholds for a novel automatic alert system in Switzerland. Hydrology and Earth System Sciences 2016:20:2317–2332. doi:10.5194/hess-20-2317-201610.5194/hess-20-2317-2016
- [30] Lack S. A., Fox N. I. Development of an automated approach for identifying convective storm type using reflectivity-derived and near-storm environment data. Atmospheric Research 2012:116:67–81. doi:10.1016/j.atmosres.2012.02.00910.1016/j.atmosres.2012.02.009
- [31] Rajeevan M., Kesarkar A., Thampi S. B., Rao T. N., Radhakrishna B., Rajesekhar M. Sensitivity of WRF cloud microphysics to simulations of a severe thunderstorm event over Southeast India. Annales Geophysicae 2010:28:603–619.10.5194/angeo-28-603-2010
- [32] Enno S. E., Briede A., Valiukas D. Climatology of thunderstorms in the Baltic countries, 1951–2000. Theoretical and Applied Climatology 2013:111:309–325. doi:10.1007/s00704-012-0666-210.1007/s00704-012-0666-2
- [33] Enno S. E., Post P., Briede A., Stankunaite I. Long-term changes in the frequency of thunder days in the Baltic countries. Boreal Environment Research 2014:19: 452–466.
- [34] Toll V., Mannik A., Luhamaa A., Room R. Hindcast experiments of the derecho in Estonia on 08 August, 2010: Modelling derecho with NWP model HARMONIE. Atmospheric Research 2015:158–159:179–191. doi:10.1016/j.atmosres.2014.10.011
- [35] Wrona B., Avotniece Z. The forecasting of tornado events: the synoptic background of two different tornado case studies. Meteorology, Hydrology and Water Management 2015:3(1):51–58.
- [36] Makela A., Tuomi T. J., Haapalainen J. A decade of high-latitude lightning location: effects of the evolving location network in Finland. Journal of Geophysical Research 2010:115(D21). doi:10.1029/2009JD01218310.1029/2009JD012183
- [37] Schmetz J., Pili P., Tjemkes S., Just D., Kerkmann J., Rota S., Ratier A. An Introduction to METEOSAT Second Generation (MSG). Bulletin of the American Meteorological Society 2002:977–992.
- [38] Space Science and Engineering Center [Online]. [Accessed: 18.08.2017]. Available: http://www.ssec.wisc.edu/mcidas/software/about_mcidas.html
- [39] SELEX Sistemi Integrati GmbH. Instruction Manual. Release 5.15.1. Neuss-Rosellen: Sistemi Integrati GmbH, 2006.
- [40] Lemon L. R., Doswell C. A. Severe Thunderstorm Evolution and Mesocyclone Structure as Related to Tornadogenesis. Monthly Weather Review 1979:107:1184–1197.
- [41] Schenkman A. D., Xue M. Bow-echo mesovortices: a review. Atmospheric Research 2016:170:1–13. doi:10.1016/j.atmosres.2015.11.00310.1016/j.atmosres.2015.11.003
- [42] Pucik T., Valachova M., Zacharov P. Upper tropospheric conditions in relation to the cloud top features of 15 August 2010 convective storms. Atmospheric Research 2013:123: 249–267. doi:10.1016/j.atmosres.2012.10.00610.1016/j.atmosres.2012.10.006
- [43] Putsay M., Simon A., Setvak M., Szenyan I., Kerkmann J. Simultaneous observation of an above-anvil ice plume and plume-shaped BTD anomaly atop a convective storm. Atmospheric Research 2013:123:293–304. doi:10.1016/j.atmosres.2012.07.02510.1016/j.atmosres.2012.07.025
- [44] Guehenneux Y., Gouhier M., Labazuy P. Improved space borne detection of volcanic ash for real-time monitoring using 3-Band method. Journal of Volcanology and Geothermal Research 2015:293:25–45. doi:10.1016/j.jvolgeores.2015.01.00510.1016/j.jvolgeores.2015.01.005
- [45] Mikus Jurkovic P., Strelec Mahovic N., Pocakal D. Lightning, overshooting top and hail characteristics for strong convective storms in Central Europe. Atmospheric Research 2015:161–162:153–168. doi:10.1016/j.atmosres.2015.03.02010.1016/j.atmosres.2015.03.020
- [46] Mikus P., Strelec Mahovic N. Satellite-based overshooting top detection methods and an analysis of correlated weather conditions. Atmospheric Research 2013:123:268–280. doi:10.1016/j.atmosres.2012.09.00110.1016/j.atmosres.2012.09.001
- [47] Punge H. J., Kunz M. Hail observations and hailstorm characteristics in Europe: A review. Atmospheric Research 2016:176–177:159–184. doi:10.1016/j.atmosres.2016.02.01210.1016/j.atmosres.2016.02.012
- [48] Bedka K. M. Overshooting cloud top detections using MSG SEVIRI Infrared brightness temperatures and their relationship to severe weather over Europe. Atmospheric Research 2011:99:175–189. doi:10.1016/j.atmosres.2010.10.00110.1016/j.atmosres.2010.10.001
- [49] Price C. Will a drier climate result in more lightning? Atmospheric Research 2009:91:479–484. doi:10.1016/j.atmosres.2008.05.01610.1016/j.atmosres.2008.05.016
- [50] Tuomi T. J., Makela A. Thunderstorm climate of Finland 1998–2007. Geophysica 2008:44:67–80.
- [51] Bielec-Bakowska Z. Long-term variability of thunderstorm occurrence in Poland in the 20th century. Atmospheric Research 2003:67–68:35–52. doi:10.1016/S0169-8095(03)00082-610.1016/S0169-8095(03)00082-6
Language: English
Page range: 28 - 46
Published on: Dec 29, 2017
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Related subjects:
© 2017 Zanita Avotniece, Agrita Briede, Maris Klavins, Svetlana Aniskevich, published by Riga Technical University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.