. . . . "Kalibrace gener\u00E1toru meteorologick\u00FDch dat pro m\u00EDsta s \u017E\u00E1dn\u00FDmi \u010Di ne\u00FApln\u00FDmi pozorov\u00E1n\u00EDmi" . . . . "Calibration of weather generator for sites without or with incomplete meteorological observations"@en . . . "weather generator" . "GA205/05/2265" . "weather generator; spatial interpolation; crop models; hydrological models"@en . . "http://www.isvav.cz/projectDetail.do?rowId=GA205/05/2265"^^ . "0"^^ . "Projekt se zam\u011B\u0159uje na kalibraci stochastick\u00E9ho jednostani\u010Dn\u00EDho gener\u00E1toru denn\u00EDch meteorologick\u00FDch dat (WG) pro m\u00EDsta s \u017E\u00E1dn\u00FDmi \u010Di ne\u00FApln\u00FDmi historick\u00FDmi pozorov\u00E1n\u00EDmi (je\u017E jsou norm\u00E1ln\u011B pou\u017Eita k odhadu parametr\u016F WG). Pou\u017Eit\u00FD WG je ur\u010Den ke konstrukci vstupn\u00EDch meteorologick\u00FDch \u0159ad pro r\u016Fstov\u00E9 a hydrologick\u00E9 modely. C\u00EDle projektu: 1) Jestli\u017Ee chyb\u00ED pouze n\u011Bkter\u00E9 denn\u00ED prvky, budou chyb\u011Bj\u00EDc\u00ED parametry (nap\u0159. denn\u00EDho rozsahu teploty) odhadnuty z parametr\u016F dostupn\u00FDch pomoc\u00ED empirick\u00FDch vztah\u016F odvozen\u00FDch z u\u010Debn\u00EDch \u0159ad. 2) Jestli\u017Ee v dan\u00E9 lokalit\u011B nejsou k dispozici \u017E\u00E1dn\u00E9 denn\u00ED pozorov\u00E1n\u00ED, parametry WG budou interpolov\u00E1ny ze sousedn\u00EDch stanic. Budou testov\u00E1ny r\u016Fzn\u00E9 interpola\u010Dn\u00ED metody, d\u016Fraz bude kladen na neuronov\u00E9 s\u00EDt\u011B. P\u0159i interpolaci bude zohledn\u011Bna nadmo\u0159sk\u00E1 v\u00FD\u0161ka lokality. 3) Bude testov\u00E1na p\u0159esnost odhadu parametr\u016F WG z glob\u00E1ln\u00EDch klimatolog\u00EDck\u00FDcli dat s rozli\u0161en\u00EDm 0.5\u00B0x0.5\u00B0 dostupn\u00FDch z CRU (U.K.). 4) Dv\u011B modifikace budou na WG aplikov\u00E1ny: a) ro\u010Dn\u00ED chod parametr\u016F bude reprezentov\u00E1n Fourierovou" . "The project focuses on calibrating stochastic single-site daily weather generator (WG) for sites with non-existent or incomplete historical daily weather series (which are normally used to determine WG parameters). The present WG is designed to provide input data for crop models and hydrological models. Aims of the project: 1) lf only some daily variables are observed, the missing WG parameters (e.g., parameters for the daily temperature range) will be estimated from those available using empirical relationships established from the learning data. 2) If no weather observations are available in the given site, the WG parameters will be interpolated from surrounding stations. Various interpotation techniques (with a stress on the neural networks) will be tested. In interpolating the parameters, elevation of the site will be taken into account. 3) Accurracy of estimating WG parameters from a glob\u00E1l 0.5\u00B0x0.5\u00B0 climatologicat data available from Climate Research Unit (U.K.) will be assessed. 4) Two"@en . . . "1"^^ . "3"^^ . . . " crop models" . "2005-01-01+01:00"^^ . " spatial interpolation" . "2007-05-02+02:00"^^ . . "2007-12-31+01:00"^^ . . . . "2008-12-16+01:00"^^ . "(aim 0) For use in the present project, we collected a database of 6?variate station daily weather data for Czechia (125 stations x 40 years) and Nebraska [28 stations x (20-25 years)]. The data were used to calibrate the stochastic daily weather generat"@en . "24"^^ . "(c\u00EDl 0) Pro \u00FA\u010Dely projektu byla shrom\u00E1\u017Ed\u011Bna datab\u00E1ze stani\u010Dn\u00EDch denn\u00EDch meteorologick\u00FDch \u0159ad pro \u010CR (28 stanic x 6 klimatick\u00FDch prvk\u016F x 40 let) a Nebrasku [28 stanic x 6 klimatick\u00FDch prvk\u016F x (20-25 let)]. Data byla pou\u017Eita ke kalibraci stochastick\u00E9ho gen"@cs . "24"^^ .