中高层大气环流模式的初步评估与敏感性分析（英文）

提高大气环流模式的模式顶层高度对中高层大气(如平流层准两年振荡)的准确模拟至关重要.本研究将IAP大气环流模型(IAP-AGCM)延伸至中层大气顶(～0.01 hPa,～80 km)并提高垂直方向分辨率(91层),发展了一个中高层大气环流模型(IAP-AGCML91).结果表明,与低层模式相比,该中高层大气模式在整体上显著减小了平流层尤其是上平流层的冷偏差.研究发现这种改善与两种机制有关:与低层模式相比,高层模式模拟的短波加热更大,极区平流层附近的经向涡动热通量更大.上述结果表明,垂直分辨率和模式顶层高度对IAP-AGCML91的气候模拟有重要影响.     

IAP-AGCM对QBO模拟的动量收支分析

平流程准两年振荡(QBO)是赤道平流层(～100-1 hPa)变率的主要模态,可对中高纬地区的环流产生重要影响,但目前利用通用大气环流模式(GCM)对其进行准确模拟仍然是一个挑战.本文利用IAP大气环流模式(IAP-AGCM)的中高层大气模式版本(IAP-AGCML69)对QBO进行模拟,并对其动量收支情况进行分析.研...     

IAP-AGCM对QBO模拟的动量收支分析（英文）

平流层准两年振荡(QBO)是赤道平流层(～100-1 hPa)变率的主要模态,可对中高纬地区的环流产生重要影响,但目前利用通用大气环流模式(GCM)对其进行准确模拟仍然是一个挑战.本文利用IAP大气环流模式(IAP-AGCM)的中高层大气模式版本(IAP-AGCML69)对QBO进行模拟,并对其动量收支情况进行分析.研究发现,QBO主要是由对流活动引起的重力波强迫(参数化)引起的,但该动量强迫被平流层赤道上升流所引起的平流过程显著削弱.模式可分辨尺度的波动强迫对赤道上空的QBO的总纬向风倾向有正贡献,在上平流层,其量值大小与参数化的重力波强迫相当.以上结果提供了对QBO形成机制以及模式模拟差异可能原因的认识.     

IAP GCM模式大气背景环流在厄尔尼诺年的异常

本文分析了中国科学院大气物理研究所大气环流模式(IAP GCM)模式大气5～9月平均环流(本文称为背景环流)。结果表明;厄尔尼诺年一系列重要系统(南方涛动、瓦克环流、哈德莱环流、西太平洋副热带高压和热带辐合带)及大范围降水均发生明显异常;北半球西太平洋热带、副热带是环流异常的主要区域。它们与观测资料的分析结果基本一致,从而论证了该模式在低纬环流研究中的应用前景。     

NCEP/CFS模式对东亚夏季延伸预报的检验评估

利用NCEP的气候预报系统(C1imate Forecast System,CFS)所提供的1981-2004年历史回报试验结果,检验和评估了该系统对夏季东亚地区大气环流的预报技巧和系统误差;在此基础卜通过提取模式预报和观测的10～20 d及30～60 d低频振荡分量,重点对我国南方3次典型持续性暴雨过程的预报技巧进行检验和诊断分析.结果表明:CFS系统对东亚整体大气环流逐日预报的可靠时效为5 d左右,60°N以北的对流层中高层高度场预报系统性偏低,而在40°～60°N则为系统性偏高.系统性误差随预报时间的延长而增加,但10 d以上预报的系统性误差大小和空间分布逐渐趋于稳定;CFS系统对低频分量的延伸期预报技巧好于对其整体大气环流的预报技巧,并且在典型持续性暴雨过程中,CFS系统对影响强降水过程的主要环流系统低频振荡特征有一定预报能力.     

ENSO与北半球冬季大气环流异常的年代际关系

利用NCEP/NCAR再分析资料和CPC(气候预测中心)Nino3-4区海表温度序列,研究了1950/1951-2002/2003年冬季ENSO事件与北半球大气环流的相互关系及其年代际变化.结果表明:北半球大气环流对ENSO事件的响应在1978/1979年有一个明显的跃变.跃变后,低纬中高层大气环流对ENSO事件的响应明显减弱,其中东南亚的减弱最为明显,而低层大气环流对ENSO事件的响应则有所增强;东半球中高纬大气环流异常与ENSO事件关系明显减弱;西半球中高纬大气环流与ENSO事件的关系加强.     

利用CAM5.1模拟中国东部大规模城市化对东亚地区夏季大气环流及降水分布的影响

利用CAM5.1大气环流模式研究中国东部大规模城市化对东亚夏季大气环流及降水分布的影响。通过在模式中修改中国东部地区(22～42°N,110～125°E)城市比重的方法,探讨东亚地区夏季大气环流与降水等气象要素在一般城市化及极端城市化两种情景下的响应。结果表明:(1)CAM5.1模式能够很好地模拟出东亚地区夏季大气环流形势及降水分布。(2)城市比重增大后,晴空时地面吸收的净辐射增多,近地层气温升高,低层增温中心上空的大气由于受热产生上升运动,35°N以南的气流向增温区辐合,东亚夏季风出现增强的趋势,大量暖湿水汽往北输送,导致降水在中国北方地区增多而南方减少。(3)城市化的发展程度越高,它所产生的气候效应对各气象要素的影响就表现得越明显。     

亚洲冬季大气动能的时空演变特征及其与中国冬季降水和温度的关系

利用1968～2008年NCEP/NCAR再分析资料、中国测站的降水量和温度资料,分析亚洲冬季大气动能的时空演变特征,探讨与其对应的大气环流异常特征以及大气动能的变异与我国降水量和温度异常的联系。结果表明:亚洲冬季大气动能的主要变异中心在东亚西风急流区,该地区的冬季大气动能存在明显的年际和年代际变化。冬季,我国中东部至日本以东到西北太平洋上空大气动能的减弱(增强)与对流层中高层东亚西风急流的减弱(增强)密切相关,并可导致我国东部大部分地区降水量的偏多(偏少)和我国东北地区温度的偏高(偏低)。青藏高原西南侧大气动能的增强(减弱)则与该地区对流层中高层南亚西风急流的增强(减弱)有关联,并导致冬季我国东南地区降水量的偏多(偏少)和我国广西、贵州和四川一带温度的偏低(偏高)。在冬季,亚洲大气动能的变化可能主要通过影响亚洲西风急流的变化来造成我国冬季气候的变异。     

南半球热带外准半年振荡及IAP 9L AGCM模拟检验

基于1979—2000年的NCEP/NCAR海平面气压和位势高度场资料分析了南半球大气环流的准半年振荡 (半年波) 现象。结果表明:这一现象主要出现在南半球对流层低层的中高纬度和中高层的热带地区。对南半球热带外大气而言, 40°S和65°S是低层大气环流准半年振荡最为显著的两个纬度带, 半年波的贡献都超过了70%, 低层南半球中高纬度海平面气压场季节变化的反位相也主要体现为各自半年波分量变化的反位相。在此基础上, 检验了IAP 9L AGCM (大气物理研究所9层大气环流模式) 对这一现象模拟的能力, 模拟结果显示, 模式成功模拟了65°S处海平面气压场的准半年振荡现象, 其振幅略低于观测结果, 但模式对40°S处气压场准半年振荡的模拟效果较差。     

提高月预报业务水平的动力相似集合方法

针对基于大气环流模式的月预报问题,提出了一种能有效减小预报误差并提高预报技巧的动力相似集合预报新方法。该方法着眼于动力模式与统计经验的内在结合,在模式积分过程中通过提取大气环流历史相似性信息,对模式误差进行参数化处理,形成多个时变的相似强迫量来扰动生成预报的集合成员。将这一集合新方法应用到中国国家气候中心业务大气环流模式(BCC AGCM1.0),一组10 a准业务环境下回报试验结果显示,相比于业务集合预报,动力相似集合预报方法能有效改进模式对于大气环流的纬向平均、超长波和长波预报,从而有效提高了月平均环流预报技巧(几乎达到业务可用标准)和逐日环流预报技巧,并显著降低了预报误差,合理增加集合离散度,使二者配置关系得以改善,有望在业务预报中应用。     

A high-top version of IAP-AGCM: Preliminary assessment and sensitivity IAP-AGCM: 中高层大气环流模式的初步评估与敏感性分析

Extending the atmospheric model top to high altitude is important for simulation of upper atmospheric phenomena, such as the stratospheric quasi-biennial oscillation. The high-top version of the Institute of Atmospheric Physics Atmospheric General Circulation Model with 91 vertical layers (IAP-AGCML91) extends to the mesopause at about 0.01 hPa (~80 km). The high-top model with a fully resolved stratosphere is found to simulate a warmer stratosphere than the low-top version, except near the South Pole, thus reducing its overall cold bias in the stratosphere, and significantly in the upper stratosphere. This sensitivity is shown to be consistent with two separate mechanisms: larger shortwave heating and larger poleward stratospheric meridional eddy heat flux in the high-top model than in the low-top model. Results indicate a significant influence of vertical resolution and model top on climate simulations in IAP-AGCM.摘要提高大气环流模式的模式顶层高度对中高层大气 (如平流层准两年振荡) 的准确模拟至关重要. 本研究将IAP大气环流模型 (IAP-AGCM) 延伸至中层大气顶 (~0.01 hPa, ~80 km) 并提高垂直方向分辨率 (91层) , 发展了一个中高层大气环流模型 (IAP-AGCML91) . 结果表明, 与低层模式相比, 该中高层大气模式在整体上显著减小了平流层尤其是上平流层的冷偏差.研究发现这种改善与两种机制有关:与低层模式相比, 高层模式模拟的短波加热更大, 极区平流层附近的经向涡动热通量更大.上述结果表明, 垂直分辨率和模式顶层高度对IAP-AGCML91的气候模拟有重要影响.     

Stratosphere key for wintertime atmospheric response to warm Atlantic decadal conditions

There is evidence that the observed changes in winter North Atlantic Oscillation (NAO) drive a significant portion of Atlantic Multi Decadal Variability (AMV). However, whether the observed decadal NAO changes can be forced by the ocean is controversial. There is also evidence that artificially imposed multi-decadal stratospheric changes can impact the troposphere in winter. But the origins of such stratospheric changes are still unclear, especially in early to mid winter, where the radiative ozone-impact is negligible. Here we show, through observational analysis and atmospheric model experiments, that large-scale Atlantic warming associated with AMV drives high-latitude precursory stratospheric warming in early to mid winter that propagates downward resulting in a negative tropospheric NAO in late winter. The mechanism involves stratosphere/troposphere dynamical coupling, and can be simulated to a large extent, but only with a stratosphere resolving model (i.e., high-top). Further analysis shows that this precursory stratospheric response can be explained by the shift of the daily extremes toward more major stratospheric warming events. This shift cannot be simulated with the atmospheric (low-top) model configuration that poorly resolves the stratosphere and implements a sponge layer in upper model levels. While the potential role of the stratosphere in multi-decadal NAO and Atlantic meridional overturning circulation changes has been recognised, our results show that the stratosphere is an essential element of extra-tropical atmospheric response to ocean variability. Our findings suggest that the use of stratosphere resolving models should improve the simulation, prediction, and projection of extra-tropical climate, and lead to a better understanding of natural and anthropogenic climate change.     

The stratospheric version of LMDz: dynamical climatologies, arctic oscillation, and impact on the surface climate

A climatology of the stratosphere is determined from a 20-year integration with the stratospheric version of the Atmospheric General Circulation Model LMDz. The model has an upper boundary at near 65 km, uses a Doppler spread non-orographic gravity waves drag parameterization and a subgrid-scale orography parameterization. It also has a Rayleigh damping layer for resolved waves only (not the zonal mean flow) over the top 5 km. This paper describes the basic features of the model and some aspects of its radiative-dynamical climatology. Standard first order diagnostics are presented but some emphasis is given to the model’s ability to reproduce the low frequency variability of the stratosphere in the winter northern hemisphere. In this model, the stratospheric variability is dominated at each altitudes by patterns which have some similarities with the arctic oscillation (AO). For those patterns, the signal sometimes descends from the stratosphere to the troposphere. In an experiment where the parameterized orographic gravity waves that reach the stratosphere are exaggerated, the model stratosphere in the NH presents much less variability. Although the stratospheric variability is still dominated by patterns that resemble to the AO, the downward influence of the stratosphere along these patterns is near entirely lost. In the same time, the persistence of the surface AO decreases, which is consistent with the picture that this persistence is linked to the descent of the AO signal from the stratosphere to the troposphere. A comparison between the stratospheric version of the model, and its routinely used tropospheric version is also done. It shows that the introduction of the stratosphere in a model that already has a realistic AO persistence can lead to overestimate the actual influence of the stratospheric dynamics onto the surface AO. Although this result is certainly model dependent, it suggests that the introduction of the stratosphere in a GCM also call for a new adjustment of the model parameters that affect the tropospheric variability.     

Is there a stratospheric radiative feedback in global warming simulations?

The radiative impacts of the stratosphere in global warming simulations are investigated using abrupt CO₂ quadrupling experiments of the Coupled Model Inter-comparison Project phase 5 (CMIP5), with a focus on stratospheric temperature and water vapor. It is found that the stratospheric temperature change has a robust bullhorn-like zonal-mean pattern due to a strengthening of the stratospheric overturning circulation. This temperature change modifies the zonal mean top-of-the-atmosphere energy balance, but the compensation of the regional effects leads to an insignificant global-mean radiative feedback (?0.02 ± 0.04 W m^?2 K^?1). The stratospheric water vapor concentration generally increases, which leads to a weak positive global-mean radiative feedback (0.02 ± 0.01 W m^?2 K^?1). The stratospheric moistening is related to mixing of elevated upper-tropospheric humidity, and, to a lesser extent, to change in tropical tropopause temperature. Our results indicate that the strength of the stratospheric water vapor feedback is noticeably larger in high-top models than in low-top ones. The results here indicate that although its radiative impact as a forcing adjustment is significant, the stratosphere makes a minor contribution to the overall climate feedback in CMIP5 models.     

IMPACT OF VERTICAL RESOLUTION,MODEL TOP AND DATA ASSIMILATION ON WEATHER FORECASTING——A CASE STUDY

The impacts of stratospheric initial conditions and vertical resolution on the stratosphere by raising the model top, refining the vertical resolution, and the assimilation of operationally available observations, including conventional and satellite observations, on continental U.S. winter short-range weather forecasting, were investigated in this study. The initial and predicted wind and temperature profiles were analyzed against conventional observations. Generally, the initial wind and temperature bias profiles were better adjusted when a higher model top and refined vertical resolution were used. Negative impacts were also observed in both the initial wind and temperature profiles, over the lower troposphere. Different from the results by only raising the model top, the assimilation of operationally available observations led to significant improvements in both the troposphere and stratosphere initial conditions when a higher top was used. Predictions made with the adjusted stratospheric initial conditions and refined vertical resolutions showed generally better forecasting skill. The major improvements caused by raising the model top with refined vertical resolution, as well as those caused by data assimilation, were in both cases located in the tropopause and lower stratosphere. Negative impacts were also observed, in the predicted near surface wind and lower-tropospheric temperature. These negative impacts were related to the uncertainties caused by more stratospheric information, as well as to some physical processes. A case study shows that when we raise the model top, put more vertical layers in stratosphere and apply data assimilation, the precipitation scores can be slightly improved. However, more analysis are needed due to uncertainties brought by data assimilation.     

On the potential impact of the stratosphere upon seasonal dynamical hindcasts of the North Atlantic Oscillation: a pilot study

We have investigated the importance of the stratosphere?Ctroposphere linkage on the seasonal predictability of the North Atlantic Oscillation in a pilot study using a high horizontal resolution atmospheric general circulation model, and covering the 14 winters from 1979/1980 to 1992/1993. We made an ensemble of simulations with the Meteo-France ??Arpege Climat?? model (V3.0) with a well-resolved stratosphere, and a broad comparison is drawn with hindcasts from previously published experiments using low-top and lower horizontal resolution models, but covering the same winters with the same ensemble size and verification method. For the January?CFebruary?CMarch North Atlantic Oscillation index, the deterministic hindcast skill score is 0.59, using re-analyses as verification. It is comparable to the reported multi-model skill score (0.57). The largest improvement originates from the winter 1986/1987 characterised by a major stratospheric sudden warming. We demonstrate that there is then a high-latitude zonal-mean zonal wind decrease in the stratosphere?Ctroposphere hindcasts over a broad pressure range. This is consistent with a composite analysis showing that model anomalous vortex events, either weak or strong, lead to a North Atlantic Oscillation index anomaly in the troposphere, which persists, on average, for 1?month after the anomaly peaked in the stratosphere.     

基于DART +WACCM模式搭建的平流层同化、天气预报和气候预测模型研究

本论文基于WACCM（Whole Atmosphere Community Climate Model）模式最新版本WACCM6和DART（Data Assimilation Research TestBed）同化工具最新版本Manhattan,开发了中高层大气温度、臭氧和水汽卫星资料的同化接口,搭建了一个包含完整平流层过程的数值同化、天气预报和短期气候预测模型（此后简称模型）;本模型对2020年3～4月平流层大气变化进行了同化观测资料的模拟,并以同化试验输出的分析场作为初值,对5～6月的平流层大气进行了0～30天天气尺度预报以及31～60天短期气候尺度预测的回报试验。结果表明:本模型能较好地重现2020年3、4月北极平流层出现的大规模臭氧损耗事件随时间的演变特征,模拟结果和Microwave Limb Sounder（MLS）卫星观测结果很接近;而未进行同化的模拟试验,虽然可以模拟出北极臭氧损耗现象,但是模拟的臭氧损耗规模相比MLS卫星观测结果要低很多;利用同化试验4月末输出的分析场作为初值,预报的5月北极平流层臭氧体积混合比变化与MLS卫星观测值的差值小于0.5,预测的6月北极平流层臭氧变化只在10～30 hPa之间的区域,与观测之间的差异达到了1 ppm（ppm=10?6）。本模型不但改善了北极平流层化学成分变化的模拟,也显著地提升了北极平流层温度和环流的模拟。本模型同化模拟的3～4月、预报预测的5～6月北极平流层温度和纬向风变化与Modern-Era Retrospective analysis for Research and Applications, Version 2 （MERRA2）再分析资料结果具有很好的一致性,仅在北极平流层顶部,预报预测的温度和纬向风分别与再分析资料之间的均方根误差（RMSE）约为3 K和4 m s?1。未进行同化的试验模拟的3～4月、预报预测的5～6月北极平流层的温度和纬向风与MERRA2再分析资料之间的RMSE在大部分区域都达到6 K及5 m s?1以上。从全球范围来看,本模型对平流层中低层模拟性能改善最为显著,其预报预测结果与观测值之间的差异,比未进行同化试验的结果,减少了50%以上。     

基于微波探测资料的全球大气亮温长期变化趋势研究

本文使用1978—2013年美国大气海洋局NOAA研发的STAR V3.0版本的MSU/AMSUA逐月亮温格点数据,引入集合经验模式分解(EEMD)方法,研究了高空大气亮温的非线性变化趋势,尤其注重亮温气候趋势的时间演变特征,并与传统线性回归(CLR)方法做了对比研究。结果表明,在全球对流层增温、平流层降温的大背景下,基于EEMD的亮温非线性趋势演变特征表现为:近10 a对流层中、高层全球平均增暖趋势放缓,甚至出现轻微的降温趋势;北半球对流层增暖首先出现在北极,随后向低纬度方向延伸。北极对流层增暖向上影响高层大气,最高可以扩展到平流层低层。南半球对流层中低纬度地区受北半球大气影响也出现增温。另外,近10 a南极地区出现显著的独立增温现象。平流层变冷北半球最早从中纬度地区开始发生,变冷逐渐增强的同时向极地和低纬度两侧扩张。南极上空平流层大气早期也出现显著变冷,然而随着2000年以后南极大范围增暖,平流层变冷逐渐转移到中低纬地区。