Journal metrics

Journal metrics

  • IF value: 2.281 IF 2.281
  • IF 5-year value: 2.693 IF 5-year 2.693
  • CiteScore value: 2.43 CiteScore 2.43
  • SNIP value: 1.193 SNIP 1.193
  • SJR value: 0.965 SJR 0.965
  • IPP value: 2.31 IPP 2.31
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 73 Scimago H index 73
Volume 17, issue 4 | Copyright
Nat. Hazards Earth Syst. Sci., 17, 563-579, 2017
https://doi.org/10.5194/nhess-17-563-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 13 Apr 2017

Research article | 13 Apr 2017

Numerical rainfall simulation with different spatial and temporal evenness by using a WRF multiphysics ensemble

Jiyang Tian et al.
Related authors
Evaluation of Doppler radar and GTS data assimilation for NWP rainfall prediction of an extreme summer storm in northern China: from the hydrological perspective
Jia Liu, Jiyang Tian, Denghua Yan, Chuanzhe Li, Fuliang Yu, and Feifei Shen
Hydrol. Earth Syst. Sci., 22, 4329-4348, https://doi.org/10.5194/hess-22-4329-2018,https://doi.org/10.5194/hess-22-4329-2018, 2018
Related subject area
Hydrological Hazards
Formation, breaching and flood consequences of a landslide dam near Bujumbura, Burundi
Léonidas Nibigira, Hans-Balder Havenith, Pierre Archambeau, and Benjamin Dewals
Nat. Hazards Earth Syst. Sci., 18, 1867-1890, https://doi.org/10.5194/nhess-18-1867-2018,https://doi.org/10.5194/nhess-18-1867-2018, 2018
Low cost, multiscale and multi-sensor application for flooded area mapping
Daniele Giordan, Davide Notti, Alfredo Villa, Francesco Zucca, Fabiana Calò, Antonio Pepe, Furio Dutto, Paolo Pari, Marco Baldo, and Paolo Allasia
Nat. Hazards Earth Syst. Sci., 18, 1493-1516, https://doi.org/10.5194/nhess-18-1493-2018,https://doi.org/10.5194/nhess-18-1493-2018, 2018
Brief communication: Loss of life due to Hurricane Harvey
Sebastiaan N. Jonkman, Maartje Godfroy, Antonia Sebastian, and Bas Kolen
Nat. Hazards Earth Syst. Sci., 18, 1073-1078, https://doi.org/10.5194/nhess-18-1073-2018,https://doi.org/10.5194/nhess-18-1073-2018, 2018
Enhancing flood hazard estimation methods on alluvial fans using an integrated hydraulic, geological and geomorphological approach
Zeinab Mollaei, Kamran Davary, Seyed Majid Hasheminia, Alireza Faridhosseini, and Yavar Pourmohamad
Nat. Hazards Earth Syst. Sci., 18, 1159-1171, https://doi.org/10.5194/nhess-18-1159-2018,https://doi.org/10.5194/nhess-18-1159-2018, 2018
Going beyond the flood insurance rate map: insights from flood hazard map co-production
Adam Luke, Brett F. Sanders, Kristen A. Goodrich, David L. Feldman, Danielle Boudreau, Ana Eguiarte, Kimberly Serrano, Abigail Reyes, Jochen E. Schubert, Amir AghaKouchak, Victoria Basolo, and Richard A. Matthew
Nat. Hazards Earth Syst. Sci., 18, 1097-1120, https://doi.org/10.5194/nhess-18-1097-2018,https://doi.org/10.5194/nhess-18-1097-2018, 2018
Cited articles
Aligo, E. A., Gallus, W. A., and Segal, M.: On the impact of WRF model vertical grid resolution on Midwest summer rainfall forecasts, Weather Forecast., 24, 575–594, https://doi.org/10.1175/2008WAF2007101.1, 2009.
Argüeso, D., Hidalgomuñoz, J. M., Gámizfortis, S. R., Estebanparra, M. J., Dudhia, J., and Castrodiez, Y.: Evaluation of WRF parameterizations for climate studies over Southern Spain using a multistep regionalization, J. Climate, 24, 5633–5651, https://doi.org/10.1175/JCLI-D-11-00073.1, 2011.
Bruno, F., Cocchi, D., Greco, F., and Scardovi, E.: Spatial reconstruction of rainfall fields from rain gauge and radar data, Stoch. Environ. Res. Risk Assess., 28, 1235–1245, https://doi.org/10.1007/s00477-013-0812-0, 2014.
Bureau of Water Resources Survey of Hebei: Observed rainfall data from rain gauges, available at: http://www.hbsw.net/, 2006–2015.
Cane, D., Ghigo, S., Rabuffetti, D., and Milelli, M.: Real-time flood forecasting coupling different postprocessing techniques of precipitation forecast ensembles with a distributed hydrological model. The case study of may 2008 flood in western Piemonte, Italy, Nat. Hazards Earth Syst. Sci., 13, 211–220, https://doi.org/10.5194/nhess-13-211-2013, 2013.
Publications Copernicus
Download
Short summary
Accurately simulating and predicting the precipitation by numerical weather prediction is a difficult task for medium-sized catchments in semi-humid regions. This study shows that using multiphysics ensembles is a good method to reduce the uncertainties of rainfall simulation. This paper provides more guidance for choosing the physical parameterizations for accurate rainfall simulations of different storm types in semi-humid regions.
Accurately simulating and predicting the precipitation by numerical weather prediction is a...
Citation
Share