Modeling of the heating degree hours (HDH) at dawn in the dry desert regions of Iran

Abstract

The aim of this modeling initiative is to gain insight into the energy needs at dawn (6.30 o'clock in Tehran) in seven provinces including Qazvin, Qom, Central, Isfahan, Yazd, Fars and Kerman (i.e. Iran's arid and desert regions). For this purpose, the dynamical model data of EH5OM were downloaded from the Max Planck Physics Center under the A1B propagation scenario for the period from 01/01/2015 to 03/13/2010 at 03Z for 03Z. In the next step, for the microscale, the output data of the model were used using the REGCM4 model, and the data of the model were obtained with a spatial resolution of 0.27 × 0.27 arcs and an array of outputs of 13410 × 705. After the temperature of the heating clock (HDH) was calculated, the fractal theory was used to assess the behavioral outlook of this climate parameter. The results show that the maximum demand for the temperature of the hexagonal tail in the arid and desert regions of the country is 595 ° C in December and the minimum is 21 ° C in July. The results of fractal geometry also showed that the temperature of dawn warming in Iran's dry and desert regions serves as a sensitive nonlinear system that is more subject to long-term changes in the early and late months of the year and to short-term changes in summer. The trend evaluation and trend slope proved that, in most months of the year, the degree of warming of the dawn is reduced.

Keywords

• heating degree hours (hdh)
• eh5om model
• regcm4 model
• fractal theory
• arid and desert regions of iran