Abstract

Thailand is characterized by typical tropical monsoon climate, and is suffering serious water related problems, including seasonal drought and flooding. These issues are highly related to the hydrological processes, e.g., precipitation and evapotranspiration (ET), which are helpful to understand and cope with these problems. It is critical to study the spatiotemporal pattern of ET in Thailand to support the local water resource management. In the current study, daily ET was estimated over Thailand by ETMonitor, a process-based model, with mainly satellite earth observation datasets as input. One major advantage of the ETMonitor algorithm is that it introduces the impact of soil moisture on ET by assimilating the surface soil moisture from microwave remote sensing, and it reduces the dependence on land surface temperature, as the thermal remote sensing is highly sensitive to cloud, which limits the ability to achieve spatial and temporal continuity of daily ET. The ETMonitor algorithm was further improved in current study to take advantage of thermal remote sensing. In the improved scheme, the evaporation fraction was first obtained by land surface temperature—vegetation index triangle method, which was used to estimate ET in the clear days. The soil moisture stress index (SMSI) was defined to express the constrain of soil moisture on ET, and clear sky SMSI was retrieved according to the estimated clear sky ET. Clear sky SMSI was then interpolated to cloudy days to obtain the SMSI for all sky conditions. Finally, time-series ET at daily resolution was achieved using the interpolated spatio-temporal continuous SMSI. Good agreements were found between the estimated daily ET and flux tower observations with root mean square error ranging between 1.08 and 1.58 mm d−1, which showed better accuracy than the ET product from MODerate resolution Imaging Spectroradiometer (MODIS), especially for the forest sites. Chi and Mun river basins, located in Northeast Thailand, were selected to analyze the spatial pattern of ET. The results indicate that the ET had large fluctuation in seasonal variation, which is predominantly impacted by the monsoon climate.

Highlights

  • Under the context of climate change and rapid population development, water is increasingly becoming a scarce resource worldwide

  • Soil moisture at 10 cm (θ10cm) and 50 cm (θ50cm) depths were available, and surrogated for surface soil moisture and root zone soil moisture. θ50cm is applied in Equation (11) to obtain the constrain of root zone soil moisture on the canopy resistance (f(θ50cm)), which is taken as reference to further compare with f(θroot) by reversing Equations (1) and (6) further, 3

  • Soil moisture at 10 cm (θ10cm) and 50 cm (θ50cm) depths were available, and surrogated for surface soil moisture and root zone soil moisture. θ50cm is applied in Equation (11) to obtain the constrain of root zone soil moisture on the canopy resistance (f (θ50cm)), which is taken as reference to further compare with f by reversing Equations (1) and (6) further, while f (θ50cm)/θ10cm (SMSI50cm) is considered as reference to compare with soil moisture stress index (SMSI)

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Summary

Introduction

Under the context of climate change and rapid population development, water is increasingly becoming a scarce resource worldwide. Evapotranspiration (ET), the primary process of water transfer from the land surface to the atmosphere, is one of the most important components in hydrological cycle since it represents a loss of usable water from the hydrological supply for agriculture and natural resource [1,2]. ET plays a crucial role in understanding the response of water cycle to climate change and human activities emulating the water resource management to cope with the serious water resource shortages. Plants usually open their stomata under wet conditions, which are favorable for plant growth, while when the soil dries stomatal closure limits transpiration to prevent dehydration. How to express the constrain of soil moisture is the key to ensure the accuracy of evapotranspiration algorithms

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