TITLE

Regional frequency analysis of heavy precipitation in the Czech Republic by improved region-of-influence method

AUTHOR(S)
Gaál, L.; Kyselý, J.
PUB. DATE
January 2009
SOURCE
Hydrology & Earth System Sciences Discussions;2009, Vol. 6 Issue 1, p273
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The region-of-influence (ROI) approach is implemented for modelling the probabilities of heavy 1-day and 5-day precipitation amounts in the Czech Republic. Compared to the previous study for Slovakia (Gaál et al., 2008), an improved ROI methodology that makes use of a regional homogeneity test for assigning sites to pooling groups, is applied. Two basically different approaches to forming the pooling groups in which groups of sites are gradually built up and cut down, respectively, are combined. A sensitivity analysis, which examines the performance of the ROI models after changing the set of input site attributes that serve for determining the sites' similarity, is carried out. Finally, several frequency models that include the ROI pooling schemes, a conventional model based on fixed regions, and an at-site analysis are compared by means of Monte Carlo simulations. We conclude that, regardless of the duration of precipitation, the ROI pooling scheme based on the actual proximity of sites (latitude and longitude) outperforms the other frequency models in terms of the root mean square error of the growth curves.
ACCESSION #
42957758

 

Related Articles

  • Comparison of Different Hydrological Similarity Measures to Estimate Flow Quantiles. Rianna, M.; Ridolfi, E.; Napolitano, F. // AIP Conference Proceedings;2017, Vol. 1863 Issue 1, p1 

    This paper aims to evaluate the influence of hydrological similarity measures on the definition of homogeneous regions. To this end, several attribute sets have been analyzed in the context of the Region of Influence (ROI) procedure. Several combinations of geomorphological, climatological, and...

  • Multi-parameter uncertainty analysis of a bifurcation point. Knopf, B.; Flechsig, M.; Zickfeld, K. // Nonlinear Processes in Geophysics;2006, Vol. 13 Issue 5, p531 

    Parameter uncertainty analysis of climate models has become a standard approach for model validation and testing their sensitivity. Here we present a novel approach that allows one to estimate the robustness of a bifurcation point in a multi-parameter space. In this study we investigate a box...

  • Monte Carlo Simulation of the Formation of Snowflakes. Maruyama, Ken-Ichi; Fujiyoshi, Yasushi // Journal of the Atmospheric Sciences;5/1/2005, Vol. 62 Issue 5, p1529 

    A stochastic microphysical model of snow aggregation that combines a simple aggregation model with a Monte Carlo method was developed. Explicit treatment of the shape of individual snowflakes in the new model facilitates examination of the structure of snowflakes and the relationships between...

  • Estimating Onsets of Binary Events in Panel Data. McGrath, Liam F. // Political Analysis;Autumn2015, Vol. 23 Issue 4, p534 

    Onsets of binary events are often of interest to political scientists, whether they be regime changes, the occurrence of civil war, or the signing of bilateral agreements, to name a few. Often researchers transform the binary event outcome of interest, by setting ongoing years to zero, to create...

  • The equivalent-weights particle filter in a high-dimensional system. Ades, M.; van Leeuwen, P. J. // Quarterly Journal of the Royal Meteorological Society;Jan2015, Vol. 141 Issue 687, p484 

    In general, particle filters need large numbers of model runs in order to avoid filter degeneracy in high-dimensional systems. The recently proposed, fully nonlinear equivalent-weights particle filter overcomes this requirement by replacing the standard model transition density with two...

  • ANÁLISIS DE SENSIBLIDAD GLOBAL DE UN MODELO DE LECHUGAS (Lactuca sativa L.) CULTIVADAS EN INVERNADERO. López-Cruz, Irineo L.; Salazar-Moreno, Raquel; Rojano-Aguilar, Abraham; Ruiz-García, Agustín // Agrociencia;may/jun2012, Vol. 46 Issue 4, p383 

    Sensitivity analysis of a mathematical model is relevant, since it determines how the uncertainty of the model outputs can be assigned to its variables of input. So far local methods are applied based on the calculation of partial derivatives for models of greenhouse crops. However, the main...

  • Sensitivity and Risk Analyses for the Evaluation of Transport Investments. Inturri, Giuseppe; Ignaccolo, Matteo; Caprì, Salvatore // Engineering Management Research;Dec2012, Vol. 1 Issue 2, p16 

    Access to Structural Funds of the European Union for the realisation of infrastructural projects having a value in excess of 50 M€ requires advance preparation of economic and financial analyses including sensitivity and risk analyses for the probabilistic evaluation of uncertainties...

  • StochSens—matlab package for sensitivity analysis of stochastic chemical systems. Komorowski, Michał; Žurauskienė, Justina; Stumpf, Michael P.H. // Bioinformatics;Mar2012, Vol. 28 Issue 5, p731 

    Motivation: The growing interest in the role of stochasticity in biochemical systems drives the demand for tools to analyse stochastic dynamical models of chemical reactions. One powerful tool to elucidate performance of dynamical systems is sensitivity analysis. Traditionally, however, the...

  • Kinesins with Extended Neck Linkers: A Chemomechanical Model for Variable-Length Stepping. Hughes, John; Hancock, William; Fricks, John // Bulletin of Mathematical Biology;May2012, Vol. 74 Issue 5, p1066 

    We develop a stochastic model for variable-length stepping of kinesins engineered with extended neck linkers. This requires that we consider the separation in microtubule binding sites between the heads of the motor at the beginning of a step. We show that this separation is stationary and can...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics