An empirical tropospheric delay model, together with a mapping function, is commonly used to correct the tropospheric errors in global navigation satellite system (GNSS) processing. As is well-known, the accuracy of tropospheric delay models relies mainly on the correction efficiency for tropospheric wet delays. In this paper, we evaluate the accuracy of three tropospheric delay models, togethe...

Despite building energy use being one of the largest global consumers, simulations rarely take actual local neighbourhood scale climate into account. A new globally applicable approach is proposed to support buildings design. ERA5 (European Centre Reanalysis version 5) data are used with SUEWS (Surface Urban Energy and Water balance Scheme) obtain (in this example case) an urban typical meteoro...

Developing a sustainable and reliable photovoltaic (PV) energy system requires comprehensive analysis of solar profiles an accurate prediction performance at the study site. Installing PV modules with optimal tilt azimuth angles has significant impact on total irradiance delivered to modules. This paper proposes optimization model integrate models temperature find year-round installation parame...

Today, many places of different locations on Earth especially semi-arid areas face the risk of desertification due to severe drought. However, the very basic data required for the analysis is unavailable for the regions without a meteorological station. In this case, land surface temperature (LST) is derived from a thermal band as an alternative meteorological station’s data. In this research, ...

In this study, we introduce the prospect of using prognostic model-generated meteorological output as input to steady-state dispersion models by identifying possible advantages and disadvantages and by presenting a comparative analysis. Because output from prognostic meteorological models is now routinely available and is used for Eulerian and Lagrangian air quality modeling applications, we ex...