<?xml version="1.0" encoding="utf-8" standalone="no"?>
<!DOCTYPE article SYSTEM "http://www.hydrol-earth-syst-sci.net/inc/hess/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>Hydrology and Earth System Sciences</journal_title>
		<journal_url>www.hydrol-earth-syst-sci.net</journal_url>
		<issn>1027-5606</issn>
		<eissn>1607-7938</eissn>
		<volume_number>10</volume_number>
		<issue_number>6</issue_number>
		<publication_year>2006</publication_year>
	</journal>
	<doi>10.5194/hess-10-797-2006</doi>
	<article_url>http://www.hydrol-earth-syst-sci.net/10/797/2006/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci.net/10/797/2006/hess-10-797-2006.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci.net/10/797/2006/hess-10-797-2006.pdf</fulltext_pdf>
	<start_page>797</start_page>
	<end_page>806</end_page>
	<publication_date>2006-10-30</publication_date>
	<article_title content_type="html">Modelling of monsoon rainfall for a mesoscale catchment in North-West India I: assessment of objective circulation patterns</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>E. Zehe</name>
			<email>ezehe@rz.uni-potsdam.de</email>
		</author>
		<author numeration="2" affiliations="2">
			<name>A. K. Singh</name>
		</author>
		<author numeration="3" affiliations="3">
			<name>A. Bárdossy</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Institute of Geoecology, University of Potsdam, Germany</affiliation>
		<affiliation numeration="2" content_type="html">Civil Engineering Department, Nirma University of Science &amp; Technology (NU) Ahmedabad &amp;ndash; 382 481, India</affiliation>
		<affiliation numeration="3" content_type="html">Institute of Hydraulic Engineering, University of Stuttgart, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">Within the present study we shed light on the question whether objective
circulation patterns (CP) classified from either the 500 HPa or the 700 HPa
level may serve as predictors to explain the spatio-temporal variability of
monsoon rainfall in the Anas catchment in North West India. To this end we
employ a fuzzy ruled based classification approach in combination with a
novel objective function as originally proposed by (Stehlik and BᲤossy,
2002). After the optimisation we compare the obtained circulation
classification schemes for the two pressure levels with respect to their
conditional rainfall probabilities and amounts. The classification scheme for
the 500 HPa level turns out to be much more suitable to separate dry from wet
meteorological conditions during the monsoon season. As is shown during a
bootstrap test, the CP conditional rainfall probabilities for the wet and the
dry CPs for both pressure levels are highly significant at levels ranging
from 95 to 99%. Furthermore, the monthly CP frequencies of the wettest CPs
show a significant positive correlation with the variation of the total
number of rainy days at the monthly scale. Consistently, the monthly
frequencies of the dry CPs exhibit a negative correlation with the number of
rainy days at the monthly scale. The present results give clear evidence that
the circulation patterns from the 500 HPa level are suitable predictors for
explaining spatio- temporal Monsoon variability. A companion paper shows that
the CP time series obtained within this study are suitable input into a
stochastical rainfall model.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Bárdossy, A. and Filiz, F.: Identification of flood producing atmospheric circulation patterns, J. Hydrol., 313, 48&amp;ndash;57, 2005. </reference>
		<reference numeration="2" content_type="text"> Bárdossy, A., Stehlik, J., and Caspary, H.-J.: Automated objective classification of daily circulation patterns for rainfall and temperature downscaling based on optimised fuzzy rules, Clim. Res., 23, 11&amp;ndash;22, 2002. </reference>
		<reference numeration="3" content_type="text"> Bárdossy, A., Stehlik, J., and Caspary, H.-J.: Generating of areal precipitation series in the upper Neckar catchment, Phys. Chem. Earth (B), 26, 683&amp;ndash;687, 2001. </reference>
		<reference numeration="4" content_type="text"> Bárdossy, A., Duckstein, L., and Bogárdi, I.: Fuzzy rule based classification of atmospheric circulation patterns, Int. J. Climatol., 15, 1087&amp;ndash;1097, 1995. </reference>
		<reference numeration="5" content_type="text"> Bamzai, A. S. and Shukla, J.: Relation between Eurasian snow cover, snow depth and the Indian summer monsoon: An observational study, J. Clim., 12, 3117&amp;ndash;3132, 1999. </reference>
		<reference numeration="6" content_type="text"> Bogardy, I., Matyasovszky, I., Bardossy, A., and Duckstein, L.: A hydro-climatological model of areal droughts, J. Hydrol., 153, 245&amp;ndash;264, 1994. </reference>
		<reference numeration="7" content_type="text"> Bergstrom, S. Carlson, B., Gardekin, M., Lindstrom, G., Peterson, A., and Rummukainen, M.: Climate change impacts on Hydrology in Sweden &amp;ndash; assessment by global circulation models, dynamical downscaling and hydrological modelling, Clim. Res., 16, 101&amp;ndash;112, 2001. </reference>
		<reference numeration="8" content_type="text"> Bürger, G.: Selected precipitation scenarios across Europe, J. Hydrol., 262, 99&amp;ndash;110, 2002. </reference>
		<reference numeration="9" content_type="text"> Clark, C. O, Cole, J. E., and Webster, P. J.: Indian ocean SST and Indian summer rainfall: Predictive relationships and their decadal variability, J. Clim., 13, 2503&amp;ndash;2519, 1999. </reference>
		<reference numeration="10" content_type="text"> Clarke, M. P., Hay, L. E., McCabe, G. J., Leavesley, G. H., Serreze, M. C., Wilby, R. L.: The use of weather and climate information in management of water resources in the western United States, Proceedings of the Special Conference on Climate Variability and Water Resources, NOAA, Boulder, USA, 2001. </reference>
		<reference numeration="11" content_type="text"> Conway, D. and Jones, P. D.: The use of weather types and airflow indices for GCM downscaling, J. Hydrol., 213, 348&amp;ndash;361, 1998. </reference>
		<reference numeration="12" content_type="text"> Dickson, R. R.: Eurasion snow cover versus Indian monsoon rainfall. An extension of the Hahn &amp;ndash; Shukla results, J. Clim. Appl. Meteor., 23, 171&amp;ndash;173, 1984. </reference>
		<reference numeration="13" content_type="text"> Frei, C., Schar, C., Luthi, D., and Davies, H. C.: Heavy precipitation processes in a warmer climate, Geophys. Res. Lett., 25, 1431&amp;ndash;1434, 1998. </reference>
		<reference numeration="14" content_type="text"> Giorgi, F. , Mearns, L. O., Shields, C., and McDaniel, L.: Regional nested model simulations of present and 2x CO&lt;sub&gt;2&lt;/sub&gt; climate over the central plains of the US, Clim. Change, 40, 457&amp;ndash;493, 1999. </reference>
		<reference numeration="15" content_type="text"> Gowarikar, V., Thapliyal, V., Kulshrestha, S. M., Mandal, G. S., Sen Roy, N., Sikka, D. R.: A power regression model for long range forecast of south-west monsoon rainfall over India, Mausam, 42, 125&amp;ndash;130, 1991. </reference>
		<reference numeration="16" content_type="text"> Harzallah, A. and Sadourny, R.: Observed lead lag relationships between Indian summer monsoon and some meteorological variables, Clim. Dyn., 13, 635&amp;ndash;648, 1999. </reference>
		<reference numeration="17" content_type="text"> Hess, P. and Brezowsky, H.: Katalog der Großwetterlagen Europas. 2. neu bearb. u. erg. Aufl., Berichte des Deutschen Wetterdienstes 113; Selbstverlag des DWD, Offenbach a.M., Deutschland, 1969. </reference>
		<reference numeration="18" content_type="text"> Jacob, D., van den Hurk, J. J. M., Andrae, U., Elgered, G., Fortelius, C. Graham, L. P., Jackson, S, D., Karstens, U., Köpken, Chr. Lindau, R. Podzun, R., Rockel, B. Rubel, F. Sass, B. H., Smith, R. N. B., and Yang, X.: A comprehensive model inter-comparison study investigating the water budget during the BALTEX-PIDCAP period, Meteorol. Atmos. Phys., 77, 19&amp;ndash;43, 2001. </reference>
		<reference numeration="19" content_type="text"> Kunstmann, H. and Jung, G.: Investigation of feedback mechanisms between soil moisture, landuse and precipitation in West Africa, Water Resources System, Water Availiability and Global Change, IAHS Publications 280, 159&amp;ndash;159, 2003. </reference>
		<reference numeration="20" content_type="text"> Maheras, P.: The synoptic weather types and objective delimitation of the winter period in Greece, Weather, 43, 2, 40&amp;ndash;45, 1988. </reference>
		<reference numeration="21" content_type="text"> Maheras, P.: Delimitation of the Summer-dry period in Greece according to the frequency of weather-types, Theor. Appl. Climatol., 39, 171&amp;ndash;176, 1989. </reference>
		<reference numeration="22" content_type="text"> MoE India: India&apos;s National Communication of the UNFCCC, Ministry of Environment and Forests, Government of India, Delhi, 2004. </reference>
		<reference numeration="23" content_type="text"> Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P.: Numerical Recipes in FORTRAN: The Art of Scientific Computing, Cambridge University Press, 1992. </reference>
		<reference numeration="24" content_type="text"> Özelkan, E., Galambosi, L., Duckstein, L., and Bárdossy, A.: A multi-objective fuzzy classification of large scale circulation patterns for precipitation modeling, Appl. Math. Comp., 91, 127&amp;ndash;142, 1998. </reference>
		<reference numeration="25" content_type="text"> Shukla, J. and Mooley, D. A.: Empirical prediction pf the summer monsoon rainfall over India, Mon. Wea. Rev., 115, 695&amp;ndash;703, 1987. </reference>
		<reference numeration="26" content_type="text"> Siddiq, E. A.: Rainfall prediction for rice growing areas, in: Rice in a variable climate, edited by: Abrol, Y. P. and Gadgil, S., APC Publication Delhi, pp.&amp;nbsp;107&amp;ndash;123, 1999. </reference>
		<reference numeration="27" content_type="text"> Stehlik, J. and Bardossy, A.: Multivariate stochastic downscaling model for generating daily Rainfall series based on atmospheric circulation, J. Hydrol., 256, 120&amp;ndash;141, 2002. </reference>
		<reference numeration="28" content_type="text"> Webster, P. J. and Hoyos, C.: Prediction of monsoon rainfall and river discharge on 15&amp;ndash;30 day time scales, Bull. Amer. Meteor. Soc., 85, 1745&amp;ndash;1767, 2004. </reference>
		<reference numeration="29" content_type="text"> Wójcik, R. and Buishand, T. A.: Simulation of 6-hourly rainfall and temperature by two resampling schemes, J. Hydrol. 273, 1&amp;ndash;4, 69&amp;ndash;80, 2003. </reference>
		<reference numeration="30" content_type="text"> Wilby, R. L. and Wigley, T. M. L.: Precipitation predictors for downscaling &amp;ndash; observed and general circulation model relationships, Int. J. Climatol., 20, 641&amp;ndash;661, 2000. </reference>
		<reference numeration="31" content_type="text"> Wilby, R. L,. Hay, L. E., and Leavesly, G. H.: A comparsion of downscaled and raw GCM output: implications for climate change scenarios in the San Juan River basin, Colorado, J. Hydrol., 225, 67&amp;ndash;91, 1999. </reference>
		<reference numeration="32" content_type="text"> Wilby, R. L. and Wigley, T. M. L.: Downscaling general circulation model output: a review of methods and limitations, Prog. Phys. Geogr., 21, 530&amp;ndash;548, 1997. </reference>
		<reference numeration="33" content_type="text"> Wilson, L. L., Lettenmaier, D. P., and Skyllingstaed, E.: A multiple stochastic daily precipitation model conditional on large scale circulation patterns, J. Geophys. Res., 97, 2791&amp;ndash;2801, 1992. </reference>
	</references>
</article>

