Seyed Majid Hasheminia

TL;DR: In this paper, the authors applied the discrete wavelet transform (DWT), the Mann-Kendall (MK) trend test, and the sequential MK test to temperature series at different time scales to detect the long-term trends (1956-2010) in synoptic-scale surface temperatures in Iran, as well as the dominant time scales affecting these temperature time series.

TL;DR: In this paper, an advanced statistical approach for large-scale estimation of air temperature (Tair), one of the most important environmental state variables, using land surface temperature (LST) data is proposed.

TL;DR: In this article, the authors used neural network to predict groundwater levels in the Neishaboor plain using AutoRegressive eXtra input (NN-ARX) and Static-NN models.

TL;DR: In this paper, a research study was conducted in commercial potato production fields irrigated by low pressure center pivot irrigation systems for three growing seasons in southern Idaho, USA, where the soil was silt loam, and the topography varied from nearly level to 5% slopes.

TL;DR: In this article, a scaling method was developed to scale the Richards' equation (RE) for the water redistribution process in unsaturated soils, where similarity in the shape of the soil water content profiles as well as of the water flux density curves were required.