This paper attempts to evaluate rainfall in the context of expected climate changes for the purpose of irrigating plants. For a chosen meteorological station in Central Poland total precipitation was being simulated for conditions current and expected, according to GISS Scenario (GISS Scenario as typical for Poland assumes doubling the CO2 concentration as expected for years 2050-2060). Two 300-year daily rainfall series were compared to analyse periods for crucial irrigating starting in May and ending in September. For the simulated data prob-ability density function of total rainfall were estimated in examined periods and subsequently used for tail area approximation. The results present a slight increase in the average sums of rainfall (up to 5 per cent) in considered periods, as well as much greater height variance (as much as 20 per cent). In the context of irrigation, this means a greater risk of drought and a need for providing water requirements for plants in critical periods.The results suggest a need to use a comprehensive model taking en bloc meteorological variables into account. ...
The paper presents an attempt to evaluate rainfall in the context of expected climate changes for the purposeof irrigating. Total precipitation for a chosen meteorological station in Central Poland was simulated for current and expected conditions according by means of GISS Model E, HadCM3 and GFDL R15 scenarios (doubling the CO2 concentration is assumed as typical for Poland and it is expected for years 2050-2060). Four 500-year daily rainfall series were com-pared among themselves so as to analyse the crucial irrigating periods from May to September. For simulated data probability density function of total rainfall were estimated in examined periods, and next used for tail area approximation. The presented results show changes of average sums of rainfall (a 30 per cent drop) in the considered periods and scenario, as well as much greater vari-ance (a 20-per cent increase). In the context of irrigation it implies a greater risk of drought and shows the need for ensuring water requirements for plants in critical periods.The results stress the need for using the comprehensive model taking en bloc meteorological variables into account. ...
This paper attempts to evaluate expected climate changes for the purpose of irrigating plants using the hydrothermal index of Sieljaninov (HTC). Air temperature and total precipitation were simulated for conditions current and expected for a chosen meteorological station in Central Poland, according to the GISS Scenario, HadCM3 and GFDL (which is typical for Poland assuming the CO2 concentration doubles, as is expected for the years 2050-2060). Four 500-year daily temperature and rainfall series were used for computing the hydrothermal index of Sieljaninov, with a 30-day window for irrigating periods, from April to September. The simulated hydrothermal index was presented on a graph during the vegetation period as a course of means, with critical area, standard deviations and probabilities of medium dry, dry, very dry and extremely dry periods.The presented results show changes of average hydrothermal index (up to a 30 per cent drop) in considered periods and scenarios, as well as a 15 per cent variance increase (except GISS scenario). During the four critical months of the year, the estimated probability of extremely dry periods occurring (HTC<0.4) shows two, three and four times the risk of drought for the GISS Model E, HadCM3 and GFDL-R15 scenarios respectively. ...
This paper attempts to evaluate a year 2015 from the point of view of present and future expected climate for the purpose of agriculture production using the hydrothermal index of Sieljaninov (HTC). Air temperature and total precipitation were simulated for conditions current and expected for a chosen meteorological station in Central Poland, according to the GISS Scenario (which is typical for Poland assuming the CO2 concentration doubles, as is expected for the years 2050-2060). The year 2015 and two 500-year daily temperature and rainfall series were used for computing the hydrothermal index of Sieljaninov, with a 30-day window for vegetation periods, from April to September. The simulated hydrothermal index was presented on a graph during the vegetation period as a course of means with standard deviations, and 50% and 90% critical area.The presented results show the year 2015 as dry or very dry within the vegetation period as well from the point of view of future climate changes according to the GISS Scenario. In case of heavy rainfall during the dry period of plant vegetation hydrothermal index show over estimation tendency ...
