Journal cover Journal topic
Advances in Geosciences An open-access journal for refereed proceedings and special publications
Journal topic

Journal metrics

Journal metrics

  • CiteScore value: 1.68 CiteScore
    1.68
  • SNIP value: 0.913 SNIP 0.913
  • SJR value: 0.651 SJR 0.651
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 34 Scimago H
    index 34
  • h5-index value: 13 h5-index 13
Volume 7
Adv. Geosci., 7, 349–354, 2006
https://doi.org/10.5194/adgeo-7-349-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Adv. Geosci., 7, 349–354, 2006
https://doi.org/10.5194/adgeo-7-349-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

  20 Jun 2006

20 Jun 2006

Diagnostic statistics of daily rainfall variability in an evolving climate

D. Panagoulia1, A. Bárdossy2, and G. Lourmas1 D. Panagoulia et al.
  • 1National Technical University of Athens, School of Civil Engineering, Department of Water Resources & Environmental Engineering, 5 Heroon Polytechniou, 15780 Athens, Greece
  • 2Institute of Hydraulic Engineering, University of Stuttgart, Pfaffenwaldring 61, 70550, Stuttgart, Germany

Abstract. To investigate the character of daily rainfall variability under present and future climate described via global warming a suite of diagnostic statistics was used. The rainfall was modeled as a stochastic process coupled with atmospheric circulation. In this study we used an automated objective classification of daily patterns based on optimized fuzzy rules. This kind of classification method provided circulation patterns suitable for downscaling of General Circulation Model (GCM)-generated precipitation. The precipitation diagnostics included first and second order moments, wet and dry-day renewal process probabilities and spell lengths as well as low-frequency variability via the standard deviation of monthly totals. These descriptors were applied to nine elevation zones and entire area of the Mesochora mountainous catchment in Central Greece for observed, 1×CO2 and 2×CO2 downscaled precipitation. The statistics' comparison revealed significant differences in the most of the daily diagnostics (e.g. mean wet-day amount, 95th percentile of wet-day amount, dry to wet probability), spell statistics (e.g. mean wet/dry spell length), and low-frequency diagnostic (standard deviation of monthly precipitation total) between warm (2×CO2) and observed scenario in a progressive rate from lower to upper zone. The differences were very greater for the catchment area. In the light of these results, an increase in rainfall occurrence with diminished rainfall amount and a sequence of less consecutive dry days could describe the behaviour of a possible future climate on the examined catchment.

Download
Citation