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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Regional evaporation estimates from flux tower and MODIS satellite data
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Regional evaporation estimates from flux tower and MODIS satellite data

机译:来自通量塔和MODIS卫星数据的区域蒸发量估计

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Two models were evaluated for their ability to estimate land surface evaporation at 16-day intervals using MODIS remote sensing data and surface meteorology as inputs. The first was the aerodynamic resistance-surface energy balance model, and the second was the Penman-Monteith (P-M) equation, where the required surface conductance is estimated from remotely-sensed leaf area index. The models were tested using 3 years of evaporation and meteorological measurements from two contrasting Australian ecosystems, a cool temperate, evergreen Eucalyptus forest and a wet/dry, tropical savanna. The aerodynamic resistance-surface energy balance approach failed because small errors in the radiative surface temperature translate into large errors in sensible heat, and hence into estimates of evaporation. The P-M model adequately estimated the magnitude and seasonal variation in evaporation in both ecosystems (RMSE=27 W m(-2), R-2 = 0.74), demonstrating the validity of the proposed surface conductance algorithm. This, and the ability to constrain evaporation estimates via the energy balance, demonstrates the superiority of the P-M equation over the surface temperature-based model. There was no degradation in the performance of the P-M model when gridded meteorological data at coarser spatial (0.05 degrees) and temporal (daily) resolution were substituted for local ly-measured inputs. The P-M approach was used to generate a monthly evaporation climatology for Australia from 2001 to 2004 to demonstrate the potential of this approach for monitoring land surface evaporation and constructing monthly water budgets frorn 1-krn to continental spatial scales. (c) 2006 Elsevier Inc. All rights reserved.
机译:使用MODIS遥感数据和地表气象学作为输入,评估了两个模型在16天间隔内估计陆地表面蒸发的能力。第一个是空气动力学阻力-表面能平衡模型,第二个是Penman-Monteith(P-M)方程,其中需要的表面电导率是根据遥感叶面积指数估算的。使用来自两个相对的澳大利亚生态系统(凉爽的温带常绿桉树林和湿/干热带稀树草原)的3年蒸发和气象测量对模型进行了测试。空气动力学阻力-表面能平衡方法失败了,因为辐射表面温度的小误差转化为显热的大误差,从而转化为蒸发量。 P-M模型可以充分估计两个生态系统中的蒸发量和季节性变化(RMSE = 27 W m(-2),R-2 = 0.74),证明了所提出的表面电导算法的有效性。这以及通过能量平衡约束蒸发估计的能力证明了P-M方程优于基于表面温度的模型。当以较粗糙的空间(0.05度)和时域(每日)分辨率将栅格化的气象数据替换为局部测量的输入时,P-M模型的性能不会降低。从2001年到2004年,P-M方法用于产生澳大利亚的月度蒸发气候,以证明该方法在监测地表蒸发和构建1千米至大陆空间尺度的月度水预算方面的潜力。 (c)2006 Elsevier Inc.保留所有权利。

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