夏季亚洲季风区是对流层向平流层物质输送的主要通道,其对平流层水汽的变化有重要贡献。以往的研究表明亚洲季风区向平流层的水汽传输主要在青藏高原及周边地区。本文利用多年平均的逐日ERAi、MERRA再分析数据和微波临边观测仪(Microwav...夏季亚洲季风区是对流层向平流层物质输送的主要通道,其对平流层水汽的变化有重要贡献。以往的研究表明亚洲季风区向平流层的水汽传输主要在青藏高原及周边地区。本文利用多年平均的逐日ERAi、MERRA再分析数据和微波临边观测仪(Microwave Limb Sounder,MLS)数据,首先对比分析夏季青藏高原周边上空水汽的分布特征,再利用再分析资料分析了对流层—平流层水汽传输的特征。结果表明:青藏高原周边特定的等熵面和对流层顶结构分布有利于水汽向平流层的绝热输送;在南亚高压的东北侧,从青藏高原到中太平洋地区,340～360 K层次存在最为显著的水汽向平流层的纬向等熵绝热输送通道,7～8月平均输送强度可达约7×103 kg s-1。此外,在伊朗高原及南亚高压的西部,350～360 K层次也存在一支水汽向平流层的经向等熵绝热输送通道,但强度相对较弱(约2.5×103kgs-1)。在青藏高原南侧370～380K层次存在强的水汽向平流层的非绝热输送,主要由深对流和大尺度上升运动引起,7～8月平均输送强度约0.4×103 kg s-1。落基山以东到大西洋西部,350～360 K层次存在水汽向平流层的纬向等熵绝热输送通道,但强度也弱得多(约2.5×103 kg s-1)。展开更多
Wind and solar energy are projected to be major sources of the world's power in the coming decades.In this study,we first introduce satellite observations for surface solar irradiance and wind,and then discuss usi...Wind and solar energy are projected to be major sources of the world's power in the coming decades.In this study,we first introduce satellite observations for surface solar irradiance and wind,and then discuss using the data for prediction and assessment of energy distribution.Using the current NCEP global forecast model (GFS),the global mean and standard deviation of solar power at the surface for the 5-d forecast are about 212 and 124 W/m2,respectively.For a 24-h forecast of a 3-h mean,the relative error is about 30%,and for a prediction of the daily mean,it is about 15%.The relative error of wind power forecasts for a 24-h forecast of a 3-h mean and a daily mean is 70% and 35%,respectively.The reanalysis results based on satellite observations and numerical weather prediction model are also used to study the distribution of solar and wind energy and the variation of the distribution related to climate change.No significant trend in downward solar radiation is found at the surface in the reanalysis data sets.Surface wind power however exhibits a significant positive trend as the global temperature is warming up.A comparison of a decadal mean wind energy between two decades (from 1949 to 1958 vs.from 1999 to 2008) shows that most of Asia had experienced a decrease in surface wind energy.Therefore,decisions about renewable energy developments need to consider such climate change scenarios.展开更多
文摘夏季亚洲季风区是对流层向平流层物质输送的主要通道,其对平流层水汽的变化有重要贡献。以往的研究表明亚洲季风区向平流层的水汽传输主要在青藏高原及周边地区。本文利用多年平均的逐日ERAi、MERRA再分析数据和微波临边观测仪(Microwave Limb Sounder,MLS)数据,首先对比分析夏季青藏高原周边上空水汽的分布特征,再利用再分析资料分析了对流层—平流层水汽传输的特征。结果表明:青藏高原周边特定的等熵面和对流层顶结构分布有利于水汽向平流层的绝热输送;在南亚高压的东北侧,从青藏高原到中太平洋地区,340～360 K层次存在最为显著的水汽向平流层的纬向等熵绝热输送通道,7～8月平均输送强度可达约7×103 kg s-1。此外,在伊朗高原及南亚高压的西部,350～360 K层次也存在一支水汽向平流层的经向等熵绝热输送通道,但强度相对较弱(约2.5×103kgs-1)。在青藏高原南侧370～380K层次存在强的水汽向平流层的非绝热输送,主要由深对流和大尺度上升运动引起,7～8月平均输送强度约0.4×103 kg s-1。落基山以东到大西洋西部,350～360 K层次存在水汽向平流层的纬向等熵绝热输送通道,但强度也弱得多(约2.5×103 kg s-1)。
基金supported by National Basic Research Program of China (Grant No. 2010CB951600)NOAA Center for Satellite Applications and Research
文摘Wind and solar energy are projected to be major sources of the world's power in the coming decades.In this study,we first introduce satellite observations for surface solar irradiance and wind,and then discuss using the data for prediction and assessment of energy distribution.Using the current NCEP global forecast model (GFS),the global mean and standard deviation of solar power at the surface for the 5-d forecast are about 212 and 124 W/m2,respectively.For a 24-h forecast of a 3-h mean,the relative error is about 30%,and for a prediction of the daily mean,it is about 15%.The relative error of wind power forecasts for a 24-h forecast of a 3-h mean and a daily mean is 70% and 35%,respectively.The reanalysis results based on satellite observations and numerical weather prediction model are also used to study the distribution of solar and wind energy and the variation of the distribution related to climate change.No significant trend in downward solar radiation is found at the surface in the reanalysis data sets.Surface wind power however exhibits a significant positive trend as the global temperature is warming up.A comparison of a decadal mean wind energy between two decades (from 1949 to 1958 vs.from 1999 to 2008) shows that most of Asia had experienced a decrease in surface wind energy.Therefore,decisions about renewable energy developments need to consider such climate change scenarios.
