A Comparison of MODIS LST Retrievals with in Situ Observations from AWS over the Lambert Glacier Basin, East Antarctica
A Comparison of MODIS LST Retrievals with in Situ Observations from AWS over the Lambert Glacier Basin, East Antarctica
复制标题
MODIS LST 反演与 AWS 在东南极洲兰伯特冰川盆地现场观测的比较
DOI：
10.4236/ijg.2013.43056
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发表时间：
2013-05
期刊：
影响因子：
--
通讯作者：
Jingli Zhao
中科院分区：
文献类型：
--
作者：
Yetang Wang;Maojian Wang;Jingli Zhao
越来越需要从卫星获取的地表温度数据来补充有限的气象站，以评估数据稀少的南极冰盖上的温度趋势。为了实现这一目标，评估基于卫星的地表温度(LST)反演和气温观测之间的联系和区别是至关重要的。本文将中分辨率成像光谱仪(MODIS)的月平均LST与南极兰伯特冰川盆地自动气象站(AWSS)1m和2m标称高度对应的气温进行了比较。这种比较显示了两种温度测量之间在统计上的显著相关性，相关系数(R)在0.6以上。此外，卫星立交桥和气温观测之间的时间差也不是R值的关键。虽然MODIS LST明显偏离气温(平均温差在2.87°C到8.08°C之间波动)，但可能是由于逆温效应、地表发射率的不均匀、AWS测量的代表性和卫星自身的限制。MODIS LST测量在准确评估或监测南极区域气温方面具有很大的潜力，从而更好地改进当前南极温度时空重构变异性的重建。
Satellite-derived surface temperature data is increasingly required to supplement the limited weather stations for the assessment of temperature trend over the data-sparse Antarctic Ice Sheet. To accomplish this, it is essential to assess the relationship and difference between satellite-based land-surface temperature (LST) retrieval and air temperature observation. In this study, we made a comparison between monthly averaged LST from Moderate Resolution Imaging Spectroradiometer (MODIS) and the corresponding air temperature at the nominal heights of 1 m and 2 m from automatic weather stations (AWSs) over the Lambert Glacier basin, East Antarctica. This comparison reveals a statistically significant correlation between the two types of temperature measurements with correlation coefficient (R) above 0.6. Also, the time difference between satellite overpass and air temperature observation is not critical for the R values. Although MODIS LST evidently deviates from air temperature (Mean difference fluctuates from 2.87°C to 8.08°C) probably due to the temperature inversion effect, heterogeneity in surface emissivity, representative of AWS measurements and satellite self limitation. MODIS LST measurements have a great potential for the accurate evaluation or monitoring of regional air temperature over Antarctica, and thus better improve current reconstruction of spatial and temporal reconstruction variability in Antarctic temperature.
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影响因子：
13.5
作者：
S. Westermann;M. Langer;J. Boike
通讯作者：
S. Westermann;M. Langer;J. Boike
影响因子：
3.4
作者：
Wan, Z;Zhang, Y;Li, ZL
通讯作者：
Li, ZL
影响因子：
13.5
作者：
Benali, A.;Carvalho, A. C.;Santos, A.
通讯作者：
Santos, A.
影响因子：
3.2
作者：
J. M. Galve;C. Coll;V. Caselles;E. Valor;R. Niclós;J. M. Sánchez;M. Mira
通讯作者：
J. M. Galve;C. Coll;V. Caselles;E. Valor;R. Niclós;J. M. Sánchez;M. Mira
影响因子：
13.5
作者：
Vancutsem, Christelle;Ceccato, Pietro;Connor, Stephen J.
通讯作者：
Connor, Stephen J.