| The knowledge of the soil moisture profile state in the root zone is very important in many aspects of hydrologic, agricultural, ecological, and meteorological work. Research has increasingly focused on different strategies for estimating or improving estimation of the soil moisture profile using remote sensing data. Unfortunately, remote sensing can only provide the soil moisture with a high degree of accuracy for the near-surface layers. Therefore, there is a need to develop methods to estimate the entire soil moisture profile using the surface soil moisture in order to make remote sensing observations more valuable in applications.;This study has investigated the ability of the Principle of Maximum Entropy (POME) approach in combination with the kinematic wave model to estimate the soil moisture profile in all of its phases. The method utilizes the surface soil moisture observation and the water balance as its only necessities. The study demonstrated that POME can reasonably simulate the theoretical soil moisture profile shape in all phases.;This study shows that the POME model can simulate the actual soil moisture in the wet case very well if the water balance was estimated correctly, the porosity of the entire soil column stayed uniform, and the total depth to which the infiltrated water was actually distributed was known. The study also indicates that, in general, the POME model has an overall good representation for the actual soil moisture profile in the dry case. This study also indicates that the POME model combined with the kinematic wave approach has the ability to simulate the soil moisture profile in the dynamic phase. |
