A Two-Source Model for Estimating Evaporative Fraction (TMEF) Coupling Priestley-Taylor Formula and Two-Stage Trapezoid
نویسنده
چکیده
Remotely sensed land surface temperature and fractional vegetation coverage (LST/FVC) space has been widely used in modeling and partitioning land surface evaporative fraction (EF) which is important in managing water resources. However, most of such models are based on conventional trapezoid and simply determine the wet edge as air temperature (Ta) or the lowest LST value in an image. We develop a new Two-source Model for estimating EF (TMEF) based on a two-stage trapezoid coupling with an extension of the Priestly-Taylor formula. Latent heat flux on the wet edge is calculated with the Priestly-Taylor formula, whereas that on the dry edge is set to 0. The wet and dry edges are then determined by solving radiation budget and energy balance equations. The model was evaluated by comparing with other two models that based on conventional trapezoid (i.e., the Two-source Trapezoid Model for Evapotranspiration (TTME) and a One-source Trapezoid model for EF (OTEF)) in how well they simulate and partition EF using MODIS products and field observations from HiWATER-MUSOEXE in 2012. Results show that the TMEF outperforms the other two models, where EF mean absolute relative deviations are 9.57% (TMEF), 15.03% (TTME), and 30.49% (OTEF).
منابع مشابه
مقایسۀ روشهای مختلف برآورد تبخیر و تعرق پتانسیل در مدلسازی جریان رودخانه با استفاده از مدل SWAT در حوزۀ آبخیز طالقان
Evapotranspiration process is a key element in hydrological simulation of water supply, rainfall-runoff models, infiltration calculations and drought prediction models. Recently, several equations were used for estimating annual, monthly and daily evapotranspiration in the world. In this study, the potential evapotranspiration of Taleghan watershed was estimated by three methods in the SWAT mod...
متن کاملSpatial and Temporal Variability of Potential Evaporation across North American Forests
Given the widespread ecological implications that would accompany any significant change in evaporative demand of the atmosphere, this study investigated spatial and temporal variation in several accepted expressions of potential evaporation (PE). The study focussed on forest regions of North America, with 1 km-resolution spatial coverage and a monthly time step, from 1951–2014. We considered P...
متن کاملA comparison of operational remote sensing-based models for estimating crop evapotranspiration
The integration of remotely sensed data intomodels of evapotranspiration (ET) facilitates the estimation of water consumption across agricultural regions. To estimate regional ET, two basic types of remote sensing approaches have been successfully applied. The first approach computes a surface energy balance using the radiometric surface temperature for estimating the sensible heat flux (H), an...
متن کاملExergy Analysis of Evaporative Cooling for Optimum Energy Consumption in Diverse Climate Conditions
In this paper, exergy of conditioned air, exergy efficiency, irreversibility, and entropy generation of common models of evaporative cooling have been investigated in five cities of Iran. Direct evaporative cooling (DEC), indirect evaporative cooling (IEC), and two-stage IEC/DEC as the most popular methods of cooling have been modeled. Atmospheric conditions are considered as the dead state of ...
متن کاملمقایسه روش های آزمایشگاهی و کیسه های نایلونی در برآورد تجزیهپذیری ماده خشک برخی مواد خوراکی
The objective of this study was to compare dry matter degradability of some feedstuffs including soybean meal, canola meal, barley grain, corn grain, alfalfa hay and corn silage by in vitro and in situ techniques. The in vitro method includes the ruminal digestion stage of the in vitro dry matter digestibility technique. Significant differences were observed between two methods in the estimat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Remote Sensing
دوره 8 شماره
صفحات -
تاریخ انتشار 2016