Radar and lightning detection

Papers with peer review

Beele, E., Reyniers, M., Aerts, R., and Somers, B.: Quality control and correction method for air temperature data from a citizen science weather station network in Leuven, Belgium , Earth Syst. Sci. Data, 14, 4681–4717, https://doi.org/10.5194/essd-14-4681-2022, 2022.

Erdmann, F., Caumont, O., and Defer, E.: Assimilation of Meteosat Third Generation (MTG) Lightning Imager (LI) observations in AROME-France – Proof of Concept, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-637, 2022

Combarnous, P., Erdmann, F., Caumont, O., Defer, É., and Martet, M.: A satellite lightning observation operator for storm-scale numerical weather prediction, Nat. Hazards Earth Syst. Sci., 22, 2943–2962, https://doi.org/10.5194/nhess-22-2943-2022, 2022

Van Camp, M., de Viron, O., Dassargues, A., Delobbe, L., Chanard, K., & Gobron, K. Extreme hydrometeorological events, a challenge for gravimetric and seismology networks. Earth's Future, 10, 2022, e2022EF002737, https://doi.org/10.1029/2022EF002737

de Meij, A.; Ojha, N.; Singh, N.; Singh, J.; Poelman, D.R.; Pozzer, A.: The Impact of High-Resolution SRTM Topography and Corine Land Cover on Lightning Calculations in WRF, Atmosphere 2022, 13, 1050, https://doi.org/10.3390/atmos13071050

Poelman, D. R., Schulz, W., Pedeboy, S., Campos, L. Z. S., Matsui, M., Hill, D., Saba, M., Hunt, H.: Global ground strike point characteristics in negative downward lightning flashes – part 2: Algorithm validation, Nat. Hazards Earth Syst. Sci., 21, 1921-1933, 2021, https://doi.org/10.5194/nhess-21-1921-2021

Poelman, D. R., Schulz, W., Pedeboy, S., Hill, D., Saba, M., Hunt, H., Schwalt, L., Vergeiner, C., Mata, C., Schumann, C., and Warner, T.: Global ground strike point characteristics in negative downward lightning flashes – part 1: Observations, Nat. Hazards Earth Syst. Sci., 21, 1909-1919, 2021, https://doi.org/10.5194/nhess-21-1909-2021.

Moraux, A.; Dewitte, S.; Cornelis, B.; Munteanu, A. A Deep Learning Multimodal Method for Precipitation Estimation. Remote Sens.2021, 13, 3278. https://doi.org/10.3390/rs13163278

Poelman, D. R., Schulz, W. : Comparing lightning observations of the ground-based European lightning location system EUCLID and the space-based Lightning Imaging Sensor (LIS) on the International Space Station (ISS), Atmos. Meas. Tech., 13, 2965–2977, https://doi.org/10.5194/amt-13-2965-2020, 2020.

Mercelis, S., Watelet, S., Casteels, W., Bogaerts, T., Van den Bergh, J., Reyniers, M., Hellinckx, P.: Towards Detection of Road Weather Conditions using Large-Scale Vehicle Fleets, 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 2020, pp. 1-7, https://dx.doi.org/10.1109/VTC2020-Spring48590.2020.9128484

Saltikoff, E.; Haase, G.; Delobbe, L.; Gaussiat, N.; Martet, M.; Idziorek, D.; Leijnse, H.; Novák, P.; Lukach, M.; Stephan, K. OPERA the Radar Project. Atmosphere, 2019, 10(6), 320; https://doi.org/10.3390/atmos10060320

Delobbe, L., Watlet, A., Wilfert, S., and Van Camp, M.: Exploring the use of underground gravity monitoring to evaluate radar estimates of heavy rainfall, Hydrol. Earth Syst. Sci., 23, 93-105, https://doi.org/10.5194/hess-23-93-2019, 2019.

Moraux, A., Dewitte, S.; Cornelis, B.; Munteanu, A.: Deep Learning for Precipitation Estimation from Satellite and Rain Gauges Measurements. Remote Sens.2019, 11, 2463. https://doi.org/10.3390/rs11212463.

Lukach M, Quibus L, Vanhoenacker‐Janvier D, Delobbe L.: Rain attenuation statistics at Ka‐band estimated from weather radar observations in Belgium,  Int J Satell Commun Network., 2018; 36:528–541. https://doi.org/10.1002/sat.1256

Liechti, F., Aschwanden, J., Blew, J., Boos, M., Brabant, R., Dokter, A. M., Kosarev, V., Lukach, M., Maruri, M., Reyniers, M., Schekler, I., Schmaljohann, H., Schmid, B., Weisshaupt, N. and Sapir, N., 2018, Cross‐calibration of different radar systems for monitoring nocturnal bird migration across Europe and the Near East. Ecography. doi:10.1111/ecog.04041 

Goudenhoofdt, E., Delobbe, L., and Willems, P.: Regional frequency analysis of extreme rainfall in Belgium based on radar estimates, Hydrol. Earth Syst. Sci., 21, 5385-5399, https://doi.org/10.5194/hess-21-5385-2017, 2017.

Poelman, D. R., Schulz, W., Kaltenboeck, R., and Delobbe, L.: Analysis of lightning outliers in the EUCLID network, Atmos. Meas. Tech., 10, 4561-4572, https://doi.org/10.5194/amt-10-4561-2017, 2017.

Wang Y., Meirold-Mautner I., Kann A., Šajn Slak A., Simon A., Vivoda J., Bica B., Böcskör E., Brezková L., Dantinger J., Giszterowicz M., Heizler G., Iwanski R., Jachs S., Bernard T., Kršmanc R., Merše J., Micheletti S., Schmid F., Steininger M., Haiden T., Regec A., Buzzi M., Derková M., Kozarić T., Qiu X., Reyniers M., Yang J., Huang Y., Vadislavsky E. (2017), Integrating nowcasting with crisis management and risk prevention in a transnational and interdisciplinary framework, Meteorologische Zeitschrift, in press, doi: 10.1127/metz/2017/0843

 Lukach, M., Foresti, L., Giot, O. and Delobbe, L. (2017), Estimating the occurrence and severity of hail based on 10 years of observations from weather radar in Belgium; Met. Apps, 24: 250–259. doi:10.1002/met.1623.

Goudenhoofdt, E., and L. Delobbe,  2016: Generation and Verification of Rainfall Estimates from 10-Yr Volumetric Weather Radar Measurements, J. Hydrometeor. , 17, 1223-1242, doi: 10.1175/JHM-D-15-0166.1.

Poelman, D. R., Schulz, W., Diendorfer, G., and Bernardi, M.: The European lightning location system EUCLID – Part 2: Observations, Nat. Hazards Earth Syst. Sci., 16, 607-616, doi:10.5194/nhess-16-607-2016, 2016.


Schulz, W., Diendorfer, G., Pedeboy, S., and Poelman, D. R.: The European lightning location system EUCLID – Part 1: Performance analysis and validation, Nat. Hazards Earth Syst. Sci., 16, 595-605, doi:10.5194/nhess-16-595-2016, 2016.

Foresti, L., Reyniers, M., Seed, A., and Delobbe, L., 2016: Development and verification of a stochastic precipitation nowcasting system for urban hydrology in Belgium. Hydrology and Earth System Sciences, 20, 505-527.

Van Ootegem, L., Van Herck, K., Creten, T., Verhofstadt, E., Foresti, L., Goudenhoofdt, E., Reyniers, M., Delobbe, L., Murla Tuyls, D. and Willems, P. (2016), Exploring the potential of multivariate depth-damage and rainfall-damage models. J Flood Risk Management. doi:10.1111/jfr3.12284

E. Vanneste, P. Weyens, D. R. Poelman, K. Chiers, P. Deprez, and B. Pardon, 2015. Lightning related fatalities in livestock: Veterinary expertise and the added value of lightning location data. The Veterinary Journal, Volume 203, Issue 1, 103-108.

Foresti, L.,  and A. Seed, 2014: The effect of flow and orography on the spatial distribution of the very short-term predictability of rainfall from composite radar images. Hydrology and Earth System Sciences, 18, 4671–4686.

Poelman Dieter R., 2014: A 10-year study on the characteristics of thunderstorms in Belgium based on cloud-to-ground lightning data. Mon. Wea. Rev., 142, 4839-4849

Poelman Dieter R., Honoré F., Anderson G., Pedeboy S., 2013: Comparing a Regional, Subcontinental and Long-range Lightning Location System over the Benelux and France. J. Atmos. Oceanic Technol., 30, 2394-2405

Poelman Dieter R., Wolfgang Schulz, and Christian Vergeiner, 2013: Performance Characteristics of Distinct Lightning Detection Networks Covering Belgium. J. Atmos. Oceanic Technol., 30, 942-951

Goudenhoofdt, E., and L. Delobbe, 2013: Statistical Characteristics of Convective Storms in Belgium Derived from Volumetric Weather Radar Observations. J. Appl. Meteor. Climatol., 52, 918–934. doi: http://dx.doi.org/10.1175/JAMC-D-12-079.1

Brenot, H., Neméghaire, J., Delobbe, L., Clerbaux, N., De Meutter, P., Deckmyn, A., Delcloo, A., Frappez, L., and Van Roozendael, M. 2013: Preliminary signs of the initiation of deep convection by GNSS, Atmos. Chem. Phys., 13, 5425-5449, doi:10.5194/acp-13-5425-2013.

Van Weverberg, K., N. P. M, van Lipzig,., and L. Delobbe, 2011. Evaluation of moist processes during intense precipitation in km-scale NWP models using remote sensing and in-situ data: impact of microphysics size distribution assumptions. Atmos. Res., 99, 15-38.

Mahtour, A., M. El Jarroudi, L. Delobbe, L. Hoffmann, H. Maraite, and B. Tychon, 2011.Site-specific Septoria Leaf Blotch Risk Assessment in Winter Wheat using Weather-Radar Rainfall Estimates, Plant Disease, DOI: 10.1094/PDIS-07-10-0482.

Böhme, T., N. Van Lipzig, L. Delobbe, E. Goudenhoofdt, and A. Seifert, 2011: Evaluation of microphysical assumptions of the COSMO model using radar and rain gauge observations. Meteorologische Zeitschrift, 20 (2), 133–144.

Van Weverberg, K., van Lipzig, N. P. M., Delobbe, L. and Lauwaet, D., 2010. Sensitivity of quantitative precipitation forecast to soil moisture initialization and microphysics parametrization. Quarterly Journal of the Royal Meteorological Society, 136: 978–996. doi: 10.1002/qj.611.

Dokter A., F. Liechti, H. Stark, L. Delobbe, P. Tabary, and I. Holleman, 2010. Bird migration flight altitudes studied by a network of operational weather radars. J.R.Soc.Interface, 2010, doi: 10.1098/rsif.2010.0116.


Goudenhoofdt E., Delobbe L., 2009, Evaluation of radar-gauge merging methods for quantitative precipitation estimates, Hydrology and Earth System Sciences, 13, 195--203 (paper).

Crewell, S, M. Mech, T. Reinhardt, C. Selbach, H.-D. Betz, E. Brocard, G. Dick, E. O'Connor, J. Fischer, T. Hanisch, T. Hauf, A. Hünerbein, L. Delobbe, A. Mathes, G. Peters, H. Wernli, M. Wiegner, and V. Wulfmeyer, 2008. The general observation period 2007 within the priority program on quantitative precipitation forecasting: Concept and first results. Meteorol. Z., 17, 849-866.

Delobbe, L. and I. Holleman, 2006. Uncertainties in radar echo top heights used for hail detection. Meteor. Appl., 13, 361-374.

Berne, A., M. ten Heggeler, R. Uijlenhoet, L. Delobbe, Ph. Dierickx, and M. De Wit, 2005. A preliminary investigation of radar rainfall estimation in the Ardennes region. Natural Hazards and Earth System Sciences, 5, 267-274.

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