Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.936 IF 4.936
  • IF 5-year value: 5.615 IF 5-year
    5.615
  • CiteScore value: 4.94 CiteScore
    4.94
  • SNIP value: 1.612 SNIP 1.612
  • IPP value: 4.70 IPP 4.70
  • SJR value: 2.134 SJR 2.134
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 107 Scimago H
    index 107
  • h5-index value: 63 h5-index 63
Volume 17, issue 3
Hydrol. Earth Syst. Sci., 17, 1241–1263, 2013
https://doi.org/10.5194/hess-17-1241-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Precipitation uncertainty and variability: observations, ensemble...

Hydrol. Earth Syst. Sci., 17, 1241–1263, 2013
https://doi.org/10.5194/hess-17-1241-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 22 Mar 2013

Research article | 22 Mar 2013

Theoretical framework to estimate spatial rainfall averages conditional on river discharges and point rainfall measurements from a single location: an application to western Greece

A. Langousis and V. Kaleris

Related authors

Regional climate models' performance in representing precipitation and temperature over selected Mediterranean areas
R. Deidda, M. Marrocu, G. Caroletti, G. Pusceddu, A. Langousis, V. Lucarini, M. Puliga, and A. Speranza
Hydrol. Earth Syst. Sci., 17, 5041–5059, https://doi.org/10.5194/hess-17-5041-2013,https://doi.org/10.5194/hess-17-5041-2013, 2013

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Stochastic approaches
Conditional simulation of surface rainfall fields using modified phase annealing
Jieru Yan, András Bárdossy, Sebastian Hörning, and Tao Tao
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-4,https://doi.org/10.5194/hess-2020-4, 2020
Revised manuscript accepted for HESS
Short summary
Accounting for rain type non-stationarity in sub-daily stochastic weather generators
Lionel Benoit, Mathieu Vrac, and Gregoire Mariethoz
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-562,https://doi.org/10.5194/hess-2019-562, 2019
Revised manuscript accepted for HESS
Short summary
Modelling rainfall with a Bartlett–Lewis process: New developments
Christian Onof and Li-Pen Wang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-406,https://doi.org/10.5194/hess-2019-406, 2019
Revised manuscript accepted for HESS
Short summary
Climate influences on flood probabilities across Europe
Eva Steirou, Lars Gerlitz, Heiko Apel, Xun Sun, and Bruno Merz
Hydrol. Earth Syst. Sci., 23, 1305–1322, https://doi.org/10.5194/hess-23-1305-2019,https://doi.org/10.5194/hess-23-1305-2019, 2019
Short summary
Flood-related extreme precipitation in southwestern Germany: development of a two-dimensional stochastic precipitation model
Florian Ehmele and Michael Kunz
Hydrol. Earth Syst. Sci., 23, 1083–1102, https://doi.org/10.5194/hess-23-1083-2019,https://doi.org/10.5194/hess-23-1083-2019, 2019
Short summary

Cited articles

Atkinson, A. C.: Two graphical displays for outlying and influential observations in regression, Biometrika, 68, 13–20, 1981.
Austin, P. M. and House, R. A.: Analysis of the structure of precipitation patterns in New England, J. Appl. Meteorol., 11, 926–935, 1972.
Badas, M. G., Deidda, R., and Piga, E.: Orographic influences in rainfall downscaling, Adv. Geosci., 2, 285–292, https://doi.org/10.5194/adgeo-2-285-2005, 2005.
Banerjee, S., Carlin, B. P., and Gelfand, A. E.: Hierarchical Modeling and Analysis for Spatial Data, Chapman and Hall/CRC Press, Taylor and Francis Group, 2004.
Belsley, D. A., Kuh, E., and Welsch, R. E.: Regression Diagnostics: Identifying Influential Data and Sources of Collinearity, Wiley, New York, 1980.
Publications Copernicus
Download
Citation