Study of NWP parameterizations on extreme precipitation events over Basque Country
Iván R. Gelpi
CORRESPONDING AUTHOR
Basque Meteorology Agency (EUSKALMET), Parque tecnológico de Álava, Avda. Einstein 44 Ed. 6 Of. 303, 01510 Miñano, Álava, Spain
TECNALIA, Meteorology Area, Parque tecnológico de Álava, Avda. Albert Einstein 28, 01510 Miñano, Álava, Spain
Santiago Gaztelumendi
Basque Meteorology Agency (EUSKALMET), Parque tecnológico de Álava, Avda. Einstein 44 Ed. 6 Of. 303, 01510 Miñano, Álava, Spain
TECNALIA, Meteorology Area, Parque tecnológico de Álava, Avda. Albert Einstein 28, 01510 Miñano, Álava, Spain
Sheila Carreño
Basque Meteorology Agency (EUSKALMET), Parque tecnológico de Álava, Avda. Einstein 44 Ed. 6 Of. 303, 01510 Miñano, Álava, Spain
TECNALIA, Meteorology Area, Parque tecnológico de Álava, Avda. Albert Einstein 28, 01510 Miñano, Álava, Spain
Roberto Hernández
Basque Meteorology Agency (EUSKALMET), Parque tecnológico de Álava, Avda. Einstein 44 Ed. 6 Of. 303, 01510 Miñano, Álava, Spain
TECNALIA, Meteorology Area, Parque tecnológico de Álava, Avda. Albert Einstein 28, 01510 Miñano, Álava, Spain
Joseba Egaña
Basque Meteorology Agency (EUSKALMET), Parque tecnológico de Álava, Avda. Einstein 44 Ed. 6 Of. 303, 01510 Miñano, Álava, Spain
TECNALIA, Meteorology Area, Parque tecnológico de Álava, Avda. Albert Einstein 28, 01510 Miñano, Álava, Spain
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Santiago Gaztelumendi, Joseba Egaña, Miriam Ruiz, and Eguzkiñe Iturrioz
Adv. Sci. Res., 21, 41–48, https://doi.org/10.5194/asr-21-41-2024, https://doi.org/10.5194/asr-21-41-2024, 2024
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We presents the Basque Country Impact Weather Catalogue, recording detailed information on adverse weather events and their environmental impacts. It includes context, hazard/risk, and impact sections, utilizing data from Euskalmet, Emergency, Media, Insurance, etc. Standardized information enables qualitative and quantitative analysis feasibility for events spanning the 21st century. The paper details catalogue design, structure, and implementation steps.
Santiago Gaztelumendi, Joseba Egaña, and Kepa Otxoa de Alda
Adv. Sci. Res., 21, 27–39, https://doi.org/10.5194/asr-21-27-2024, https://doi.org/10.5194/asr-21-27-2024, 2024
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This study examines floods in the Basque Autonomous Community from 2000 to 2021, assessing damages, weather conditions, and other factors. It uses data from the Spanish Insurance Compensation Consortium and the AWS network, analyzing diverse datasets to extract indicators. Visual analytics are used for analysis and characterization.
Jon Sáenz, Sheila Carreno-Madinabeitia, Ganix Esnaola, Santos J. González-Rojí, Gabriel Ibarra-Berastegi, and Alain Ulazia
Geosci. Model Dev., 13, 3221–3240, https://doi.org/10.5194/gmd-13-3221-2020, https://doi.org/10.5194/gmd-13-3221-2020, 2020
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A new diagram for the verification of vector variables (wind, current, etc.) generated by multiple models against a set of observations is presented in this package. It has been designed as a generalization of the Taylor diagram for two-dimensional quantities. It is based on the analysis of the two-dimensional structure of the mean squared error matrix between model and observations, and it allows for an easy assessment of both bias and directional errors as well.
Santiago Gaztelumendi, Maialen Martija, and Olatz Principe
Adv. Sci. Res., 15, 239–243, https://doi.org/10.5194/asr-15-239-2018, https://doi.org/10.5194/asr-15-239-2018, 2018
Iñaki Orbe and Santiago Gaztelumendi
Adv. Sci. Res., 15, 245–249, https://doi.org/10.5194/asr-15-245-2018, https://doi.org/10.5194/asr-15-245-2018, 2018
Santiago Gaztelumendi, Joseba Egaña, Pedro Liria, and José A. Aranda
Adv. Sci. Res., 15, 137–143, https://doi.org/10.5194/asr-15-137-2018, https://doi.org/10.5194/asr-15-137-2018, 2018
Iñaki Orbe and Santiago Gaztelumendi
Adv. Sci. Res., 14, 153–156, https://doi.org/10.5194/asr-14-153-2017, https://doi.org/10.5194/asr-14-153-2017, 2017
Virginia Palacio, Olatz Principe, Maialen Martija, and Santiago Gaztelumendi
Adv. Sci. Res., 13, 145–150, https://doi.org/10.5194/asr-13-145-2016, https://doi.org/10.5194/asr-13-145-2016, 2016
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Facebook is one of the most used social networks and it represents a perfect virtual platform to share information and to promote active and immediate interaction amongst users. This is why many NMSs develop new communication strategies and incorporate this tool for different purposes. In this paper we investigate how Facebook was introduced in different NMSs worldwide as an additional tool for the diffusion of meteorological information and interction with users.
Santiago Gaztelumendi, Iñaki Orbe, Onintze Salazar, Ana Lopez, José Antonio Aranda, and Pedro Anitua
Adv. Sci. Res., 13, 87–90, https://doi.org/10.5194/asr-13-87-2016, https://doi.org/10.5194/asr-13-87-2016, 2016
Santiago Gaztelumendi, Joseba Egaña, Pedro Liria, Manuel Gonzalez, José Antonio Aranda, and Pedro Anitua
Adv. Sci. Res., 13, 91–96, https://doi.org/10.5194/asr-13-91-2016, https://doi.org/10.5194/asr-13-91-2016, 2016
S. Gaztelumendi, M. Martija, O. Principe, and V. Palacio
Adv. Sci. Res., 12, 141–145, https://doi.org/10.5194/asr-12-141-2015, https://doi.org/10.5194/asr-12-141-2015, 2015
J. López, V. Urgoiti, M. González, J. A. Aranda, S. Gaztelumendi, and P. Anitua
Nat. Hazards Earth Syst. Sci., 13, 721–726, https://doi.org/10.5194/nhess-13-721-2013, https://doi.org/10.5194/nhess-13-721-2013, 2013
Cited articles
Chen, S. H. and Sun, W. Y.: A one-dimensional time dependent cloud model, J. Meteorol. Soc. Jpn., 2, 99–118, 2002.
Cossu, F. and Hocke, K.: Influence of microphysical schemes on atmospheric water in the Weather Research and Forecasting model, Geosci. Model Dev., 7, 147–160, https://doi.org/10.5194/gmd-7-147-2014, 2014.
Egaña, J., Gaztelumendi, S., Otxoa de Alda, K., Gelpi, I. R., and Hernandez, R.: Synoptical and mesoscale information for forecast purpose, 8th EMS/7th ECAC, 29 September–3 October 2008, Amsterdam, the Netherlands, 2008.
Euskalmet: http://www.euskalmet.euskadi.net/s07-5853x/es/meteorologia/lectur.apl?e=5, last access: 30 April 2015.
Gallus Jr., W. A. and Pfeifer, M.: Intercomparison of simulations using 5 WRF microphysical schemes with dual-Polarization data for a German squall line, Adv. Geosci., 16, 109–116, https://doi.org/10.5194/adgeo-16-109-2008, 2008.
Gaztelumendi, S., Otxoa de Alda, K., and Hernandez, R.: Some aspects on the operative use of the automatic stations network of the Basque Country, 3rd ICEAWS, 19–21 February 2003, Torremolinos, Spain, 2003.
Gaztelumendi, S., Gelpi, I. R., Egaña, J., and Otxoa de Alda, K.: Mesoscale numerical weather prediction in Basque Country Area: present and future, 7th EMS/8th ECAM, 1–5 October 2007, El Escorial, Spain, 2007.
Gaztelumendi, S., Gelpi, I. R., Maruri, M., and Egaña, J.: Assimilation of Punta Galea wind profiler data in Basque Country: system overview and some results, 8th ISTP, 18–23 October 2009, Delft, the Netherlands, 2009.
Gaztelumendi, S., Egaña, J., Otxoa-de-Alda, K., Hernandez, R., Aranda, J., and Anitua, P.: An overview of a regional meteorology warning system, Adv. Sci. Res., 8, 157–166, https://doi.org/10.5194/asr-8-157-2012, 2012.
Gelpi, I. R., Gaztelumendi, S., Egaña, J., and Otxoa de Alda, K.: A preliminary mesoscale analysis system for the Basque Country: Description and some results, 7th EMS/8th ECAM, 1–5 October 2007, El Escorial, Spain, 2007.
Gelpi, I. R., Carreño, S., Gaztelumendi, S., Hernandez, R., and Otxoa de Alda, K.: Validation of offshore wind forecast for Basque Coastal area, 13th EMS/11th ECAM, 9–13 September 2013, Reading, UK, 2013.
Gilliland, E. K. and Rowe, C. M.: A comparison of cumulus parameterization schemes in the WRF model, in: Proceedings of the 87th AMS Annual Meeting & 21th Conference on Hydrology, 15–18 January 2007, San Antonio (TX), USA, 2007.
Hernandez, R., Gaztelumendi, S., and Otxoa de Alda, K.: Geostatistical estimation of meteorological fields in real-time, 3rd ICEAWS, 19–21 February 2003, Torremolinos, Spain, 2003.
Hong, S. Y. and Lim, J. O. J.: The WRF Single-Moment Microphysics Scheme (WSM6), J. Korean Meteorol. Soc., 42, 129–151, 2006.
Hong, S. Y., Dudhia, J., and Chen, S. H.: A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation, Mon. Weather Rev., 132, 103–120, 2004.
Hong, S. Y., Lim, K. S. S., Lee, Y. H., Ha, J. C., Kim, H. W., Ham, S. J., and Dudhia, J.: Evaluation of the WRF double-moment 6-class microphysics scheme for precipitating convection, Adv. Meteorol., 2010, 707253, https://doi.org/10.1155/2010/707253, 2010.
Janjic, Z. I.: The Step-Mountain Eta Coordinate Model: Further Developments of the Convection, Viscous Sublayer, and Turbulence Closure Schemes, Mon. Weather Rev., 122, 927–945, 1994.
Jankov, I., Gallus Jr., W. A., Segal, M., Shaw, B., and Koch, S. E.: The impact of different WRF model physical parameterizations and their interactions on warm season MCS rainfall, Weather Forecast., 20, 1048–1060, 2005.
Kain, J. S.: The Kain–Fritsch Convective Parameterization: An Update, J. Appl. Meteorol., 43, 170–181, 2004.
Kain, J. S. and Fritsch, J. M.: A one–dimensional entraining/detraining plume model and its application in convective parameterization, J. Atmos. Sci., 47, 2784–2802, 1990.
Lim, K. S. S. and Hong, S. Y.: Development of an effective double-moment cloud microphysics scheme with prognostic cloud condensation nuclei (CCN) for weather and climate models, Mon. Weather Rev., 138, 1587–1612, 2010.
Otkin, J., Huang, H. L., and Seifert, A.: A Comparison Of Microphysical Schemes In The WRF Model During A Severe Weather Event, Papers delivered at 7th WRF Users' Workshop, Boulder, CO, USA, 19–22, 2006.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Wang, W., and Powers, J. G.: A description of the Advanced Research WRF Version 2, NCAR Tech. Note TN-468+STR, NCAR, Boulder (CO), USA, 88 pp., 2005.
Thompson, G., Field, P. R., Rasmussen, R. M., and Hall, W. D.: Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: Implementation of a new snow parameterization, Mon. Weather Rev., 136, 5095–5115, 2008.