气候系统可预报性的全局研究

胞映射方法是对非线性系统进行全局分析的强有力工具。文中基于一个最大简化的地－气耦合模式,引入胞映射全局分析方法,对气候系统的可预报性进行了全局的研究。气候系统存在最大可预报期限,对于超过逐日预报可预报期限后的预报,用胞映射思想证明了平均值的可预报性,并得到了定量的结果。研究表明,耦合机制具有延长可预报期限的作用,观测精度的提高亦可延长可预报期限     

Projections of climate change impacts on central America tropical rainforest

Tropical rainforest plays an important role in the global carbon cycle, accounting for a large part of global net primary productivity and contributing to CO₂ sequestration. The objective of this work is to simulate potential changes in the rainforest biome in Central America subject to anthropogenic climate change under two emissions scenarios, RCP4.5 and RCP8.5. The use of a dynamic vegetation model and climate change scenarios is an approach to investigate, assess or anticipate how biomes respond to climate change. In this work, the Inland dynamic vegetation model was driven by the Eta regional climate model simulations. These simulations accept boundary conditions from HadGEM2-ES runs in the two emissions scenarios. The possible consequences of regional climate change on vegetation properties, such as biomass, net primary production and changes in forest extent and distribution, were investigated. The Inland model projections show reductions in tropical forest cover in both scenarios. The reduction of tropical forest cover is greater in RCP8.5. The Inland model projects biomass increases where tropical forest remains due to the CO₂ fertilization effect. The future distribution of predominant vegetation shows that some areas of tropical rainforest in Central America are replaced by savannah and grassland in RCP4.5. Inland projections under both RCP4.5 and RCP8.5 show a net primary productivity reduction trend due to significant tropical forest reduction, temperature increase, precipitation reduction and dry spell increments, despite the biomass increases in some areas of Costa Rica and Panama. This study may provide guidance to adaptation studies of climate change impacts on the tropical rainforests in Central America.     

Four-dimensional data assimilation method based on SVD: Theoretical aspect

Summary A new method of four-dimensional data assimilation based on Singular Value Decomposition (SVD) is proposed. In it, a set of atmospheric states is obtained by integrating a numerical weather prediction model and simulated observations are taken and calculated from the model variables. Then the SVD technique is used to create the base vectors from this coupled data set. Finally, the analysis is obtained by projecting actual observation data into a space spanned by the base vectors. Using this approach, the four-dimensional data assimilation becomes a simple linear inverse problem the linearization of the nonlinear forward model is avoided, and the developments of the adjoint and background error covariance matrix are no longer needed. Since the SVD technique is used here, the method is simply called 4DSVD.     

500毫巴角动量输送波谱的周期变化

用三年冬半年15个月500毫巴逐日资料,计算写成谱函数形式的角动量涡动输送,研究其周期变化.输送总值(波数k=1-12的总和)盛行准两周的周期,逐年差别不大.k=3波输送值也盛行准两周周期,近于同输送总值同位相,而且负担了50%以上的输送总值.其他波数,k=2盛行26天左右周期,k=4盛行12天左右周期,但这些波的变化幅度比k=3波小得多.初步考察了准两周周期同寒潮的关系. 用解纬圈谱法,选例考察k=3波的槽脊走向和振幅,有同角动量输送准两周变化相应的变化. 最后采用功率谱和交叉谱的分析法,对1976-1977年角动量输送进行统计上处理,得到一些与定性分析相同的结果.     

非线性大气动力学的进展

总结了自新中国成立以来中国科学院大气物理研究所在非线性大气动力学领域的进展,其中主要介绍了在非线性适应过程、非线性稳定与不稳定、全局分析理论、可预报性、低阶谱方法与多平衡态动力学、非线性波动、波流相互作用、阻塞高压非线性动力学、中小尺度非线性动力学等几个方面的研究成果及最新进展.     

On the estimation of surface radiation using satellite data

Summary Model calculations are used to investigate the uncertainties in the surface radiative flux empirically derived from satellite radiation measurements and theoretically calculated from radiation models using satellite-inferred cloud parameters. The empirical approach depends upon how well the satellite-measured radiances (represented here by the top-of-the-atmosphere flux) correlate with the net flux at the surface. The model calculations show that while the TOA flux and the net surface flux are correlated with respect to changes in optical thickness, they are not correlated with respect to changes in cloud height and negatively correlated with respect to changes in water vapor content. It is also found that the solar zenith angle has a strong effect on these relationships. It is, therefore, important to correct for the effects of atmospheric water vapor content and the solar zenith angle in the empirical estimation of surface radiative flux.The theoretical approach depends upon the net effect of the uncertainty in satellite-inferred cloud parameters. In the solar spectral region, the effects of the uncertainty in satellite retrieval of could cover and optical thickness on the net downward surface flux are systematically in opposite directions, so that the combined effects is typically small (< 7 Wm^–2). In the thermal infrared region, an error of 7 Wm^–2 could be induced by an uncertainty of 100 mb in the cloud-base height or an uncertainty of 0.1 in the fractional cloud cover. As opposed to what is commonly perceived, the error in the surface flux is likely to be larger in the IR region than in the solar spectral region.

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Zusammenfassung In der vorliegenden Arbeit werden mit Hilfe von Modellberechnungen die Unsicherheiten in den durch Satellitenmessungen empirisch gewonnenen Strahlungsflüssen an der Oberfläche und jene, die bei der Benützung von Strahlungsmodellen, die auf mit Satelliten abgeleiteten Wolkenparametern beruhen, verglichen. Die Gültigkeit des empirischen Näherungsverfahren ist davon abhängig, wie sehr die vom Satelliten gemessene Strahlung (im weiteren als top-of-the-atmosphere flux — TOA — bezeichnet) mit dem Nettostrahlungsfluß an der Oberfläche korreliert. Die Modellberechnungen zeigen, daß TOA-Fluß und Nettostrahlungsfluß an der Oberfläche zwar in bezug auf Änderungen der optischen Dicke, nicht aber in bezug auf Änderungen der Wolkenhöhe korreliert sind, während sie in bezug auf Veränderungen des Wasserdampfgehalts negativ korreliert sind. Es zeigt sich weiters, daß der Zenithwinkel der Sonne einen wesentlichen Einfluß auf diese Zusammenhänge hat. Daher ist es wichtig, die Auswirkungen des atmosphärischen Wasserdampfgehalts und des Sonnenzenithwinkels in den empirischen Berechnungen des Strahlungsflusses an der Oberfläche zu korrigieren.Der theroretische Ansatz ist abhängig vom Einfluß der Unsicherheiten der satellitenermittelten Wolkenparameter. Im solaren Spektralbereich wird der zur Oberfläche gerichtete Nettofluß durch die Unsicherheiten in der satellitenermittelten Wolkendecke und der optischen Dicke systematisch in entgegengesetzter Richtung beeinflußt, so daß der gemeinsame Effekt im allgemeinen gering bleibt (< 7 Wm^–2). Im thermischen Infrarotbereich kann ein Fehler von 7 Wm^–2 durch eine Unsicherheit von 100 mb in der Wolkenbasishöhe oder von 0.1 in der Bedeckung hervorgerufen werden. Im Gegensatz zur weitverbreiteten Ansicht ist also der Fehler bei Berechnungen des Flusses an der Oberfläche im thermischen Infrarotbereich aller Wahrscheinlichkeit nach größer als im solaren Spektrum.

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With 11 Figures     

PREDICTABILITY LEVELS OF MONTHLY FORECAST BASED ON TIME-AVERAGED OCEAN/ATMOSPHERE VARIABLES —A NATURALLY OCCURRING ANALOGUE STUDY

Naturally occurring analogues between the monthly averaged data of 1000,500 and 100 hPa geopotential height and the sea surface temperature (SST) in the Pacific,Atlantic and Indian Oceans during the period January 1956-December 1972 are used to study the potential predictability levels of forecasting the monthly mean ocean/atmosphere variables.It is found that in the ocean-atmosphere system the forecast of geopotential height may be more difficult than SST,and that the predictability level of monthly mean geopotential height anomaly calculated from the corresponding monthly mean SST appears relatively poor,but it can be improved by using the past observational data of monthly mean SST/geopotential fields.     

北半球月平均环流异常垂直结构的综合分析

本文用一种时空综合的经验正交函数分析方法,对北半球100、500和700hPa三层月平均高度距平场进行展开,得到了不仅能反映各层高度距平场本身的空间结构分布特征,而且能同时反映各层高层距平场之间有机联系的特征向量场.分析结果表明:北半球月平均环流异常在垂直方向上具有明显的相当正压性结构特征.     

500hPa月平均高度距平场统一的时空结构研究

大气环流异常的空间分布结构、年内演变和年际演变规律与长期天气和短期气候变化有密切的关系。国内外对它们的基本特征、演变规律以及形成和变化的物理原因作了许多研究;这些研究是长期天气预报和短期气候变化研究很有成就的一个方面。但是上述的多数工作主要是对环流异常的空间分布特征和时间分布规律分别进行研究,以揭示时空各自独立的分布规律,如大气中有空间上的遥相关