Radical variability determined from LIMS and SAMS satellite data

Using satellite data, the variability of a large number of stratospheric trace constituents can be estimated. These constituents need not themselves be measured by the satellite; their concentrations can be derived using photochemical steady-state relationships. The global coverage provided by the satellite over a long time period means that, for example, monthly zonal mean profiles can be derived. This has been done for H, OH, HO₂, H₂O₂, Cl, ClO, HCl, HOCl, ClONO₂, NO and O. The standard deviation of these quantities is a measure of their variability. We argue that comparing theoretical variability estimates with measurements is a better test of a photochemical theory than simply the comparison of single modelled and observed profiles.     

Characteristics and spatio-temporal variability of the Amazon River Basin Water Budget

The spatio-temporal variations of the water budget components in the Amazon region are investigated by using a combination of hydrometeorological observations and moisture fluxes derived from the NCEP/NCAR reanalyses, for the period 1970–1999. The key new finding of this study identifies the major differences in the water balance characteristics and variability between the northern and southern parts of the basin. Our results show that there is a seasonality and interannual variability of the water balance that varies across the basin. At interannual time scales, anomalies in the water balance components in the northern Amazon region show relatively stronger links with tropical Pacific interannual variability. Over the entire region, precipitation exceeds evaporation and the basin acts as a sink of moisture (P>E). However, on some occasions the basin can act as a source for moisture (P<E) under extreme conditions, such as those related to deficient rainfall in northern Amazonia during the strong El Niño of 1983. Our estimates of the Amazon regions water balance do not show a closure of the budget, with an average imbalance of almost 50%, suggesting that some of the moisture that converges in the Amazon region is not accounted for. The imbalance is larger over the southern Amazon region than over the northern region, and it also exhibits interannual variability. Large uncertainties are detected in the evaporation and moisture-convergence fields derived from the reanalyses, and in the case of evaporation it can be as large as 10–20% when compared with the few field observations across the basin. Observed precipitation fields derived from station data and from grid-box products also show some discrepancies due to sampling problems and interpolation techniques. The streamflow observed at the mouth of the river is obtained after corrections on the series observed taken at a gauging site almost 200 km inland. However, variability in the evaporation, moisture convergence, and observed rainfall and runoff matches quite well.     

An overview of dry-wet climate variability among monsoon-westerly regions and the monsoon northernmost marginal active zone in China

Climate in mainland China can be divided into the monsoon region in the southeast and the westerly region in the northwest as well as the intercross zone, i.e., the monsoon northernmost marginal active zone that is oriented from Southwest China to the upper Yellow River, North China, and Northeast China. In the three regions, dry-wet climate changes are directly linked to the interaction of the southerly monsoon flow on the east side of the Tibetan Plateau and the westerly flow on the north side of the Plateau from the inter-annual to inter-decadal timescales. Some basic features of climate variability in the three regions for the last half century and the historical hundreds of years are reviewed in this paper. In the last half century, an increasing trend of summer precipitation associated with the enhancing westerly flow is found in the westerly region from Xinjiang to northern parts of North China and Northeast China. On the other hand, an increasing trend of summer precipitation along the Yangtze River and a decreasing trend of summer precipitation along the monsoon northernmost marginal active zone are associated with the weakening monsoon flow in East Asia. Historical documents are widely distributed in the monsoon region for hundreds of years and natural climate proxies are constructed in the non-monsoon region, while two types of climate proxies can be commonly found over the monsoon northernmost marginal active zone. In the monsoon region, dry-wet variation centers are altered among North China, the lower Yangtze River, and South China from one century to another. Dry or wet anomalies are firstly observed along the monsoon northernmost marginal active zone and shifted southward or southeastward to the Yangtze River valley and South China in about a 70-year timescale. Severe drought events are experienced along the monsoon northernmost marginal active zone during the last 5 centuries. Inter-decadal dry-wet variations are depicted by natural proxies for the last 4--5 centuries in several areas over the non-monsoon region. Some questions, such as the impact of global warming on dry-wet regime changes in China, complex interactions between the monsoon and westerly flows in Northeast China, and the integrated multi-proxy analysis throughout all of China, are proposed.     

CMIP5西北太平洋气候变率的模拟评估

利用观测海温资料和CMIP5模式模拟结果分析西北太平洋(120°E~120°W,20~60°N)海表温度的气候态和年代际变化特征。结果表明,所选22个模式可以较好地模拟出西北太平洋海表温度的气候特征及其年际、年代际变化特征;模式模拟的海表温度总体标准偏差在黑潮延伸体区域最大;绝大多数模式能模拟出海表温度的第一EOF模态;西北太平洋海表温度具有较明显的年代际振荡现象,13/22的模式模拟的海表温度存在明显的年代际振荡,同时海表温度气候态的模拟偏差对其周期振荡模拟的影响较大,尤其在黑潮延伸体区域。     

GMS-5卫星估计中国西部地区月降水

在气候降水数据集中, 中国西部地区的降水数据精度一直偏低, 如全球降水气候项目数据集(GPCP)数据1998年年平均相对误差在100°E以西达到100%以上, 由于这一地区人烟稀少, 缺少足够的地面雨量站, 极轨卫星时间覆盖率低, GMS静止卫星高度角偏低, 给这一地区的降水测量和估计带来困难.本文尝试将GOES卫星降水指数(GPI)算法拓展应用到这一区域, 同时, 为了消除卫星高度角偏低造成的影响, 利用当地气候资料, 引入相对湿度修正因子.结果表明, 用GMS静止卫星云图结合气候资料, 可以有效估计中     

Major modes of short-term climate variability in the newly developed NUIST Earth System Model (NESM)

A coupled earth system model(ESM) has been developed at the Nanjing University of Information Science and Technology(NUIST) by using version 5.3 of the European Centre Hamburg Model(ECHAM), version 3.4 of the Nucleus for European Modelling of the Ocean(NEMO), and version 4.1 of the Los Alamos sea ice model(CICE). The model is referred to as NUIST ESM1(NESM1). Comprehensive and quantitative metrics are used to assess the model's major modes of climate variability most relevant to subseasonal-to-interannual climate prediction. The model's assessment is placed in a multi-model framework. The model yields a realistic annual mean and annual cycle of equatorial SST, and a reasonably realistic precipitation climatology, but has difficulty in capturing the spring–fall asymmetry and monsoon precipitation domains. The ENSO mode is reproduced well with respect to its spatial structure, power spectrum, phase locking to the annual cycle, and spatial structures of the central Pacific(CP)-ENSO and eastern Pacific(EP)-ENSO; however, the equatorial SST variability,biennial component of ENSO, and the amplitude of CP-ENSO are overestimated. The model captures realistic intraseasonal variability patterns, the vertical-zonal structures of the first two leading predictable modes of Madden–Julian Oscillation(MJO), and its eastward propagation; but the simulated MJO speed is significantly slower than observed. Compared with the T42 version, the high resolution version(T159) demonstrates improved simulation with respect to the climatology, interannual variance, monsoon–ENSO lead–lag correlation, spatial structures of the leading mode of the Asian–Australian monsoon rainfall variability, and the eastward propagation of the MJO.     

Modelling the Interannual Variation of Regional Precipitation over China

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Spatiotemporal long-term trends of extreme wind characteristics over the Black Sea

In this study, long-term change of wind characteristics on the Black Sea has been investigated using two widely used data sources, i.e., European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim and National Centers for Environmental Prediction/Climate Forecast System Reanalysis (NCEP/CFSR), spanning 40 years between 1979 and 2018. Spatial and seasonal variability of climatic features such as the wind speed, direction, number and duration of storms, and wind power density are discussed. Wind climate is characterized by strong, durable and stable winds in the northern and western Black Sea, and relatively weak, short-lived and highly-variable winds in the eastern Black Sea. These long-term wind patterns indicate that the eastern part of the basin is likely to be subjected to the impacts of climate change. Long-term stable and strong wind conditions in the southwest part indicate reliable, persistent and sustainable wind energy potential. Long-term and seasonal variation of wind power density (WPD) at 110 m altitude over the Black Sea is investigated. There is a significant difference in WPD values between winter and summer seasons, with around 2.8 times larger WPD in winter than that in summer. In the western Black Sea, narrow confidence intervals observed in each season indicate a low level of variation during a season and ensures stable wind power conditions.     

The Interannual Variability of Climate in a Coupled Ocean-Atmosphere Model

In this paper, the interannual variability simulated by the coupled ocean-atmosphere general circulation model of the Institute of Atmospheric Physics (IAP CGCM) in 40 year integrations is analyzed, and compared with that by the corresponding IAP AGCM which uses the climatic sea surface temperature as the boundary condition in 25 year integrations.The mean climatic states of January and July simulated by IAP CGCM are in good agreement with that by IAP AGCM, i.e., no serious ‘climate drift’ occurs in the CGCM simulation. A comparison of the results from AGCM and CGCM indicates that the standard deviation of the monthly averaged sea level pressure simulated by IAP CGCM is much greater than that by IAP AGCM in tropical region. In addition, both Southern Oscillation (SO) and North Atlantic Oscillation (NAO) can be found in the CGCM simulation for January, but these two oscillations do not exist in the AGCM simulation.The interannual variability of climate may be classified into two types: one is the variation of the annual mean, another is the variation of the annual amplitude. The ocean-atmosphere interaction mainly increases the first type of variability. By means of the rotated EOF, the most important patterns corresponding to the two types of interannual variability are found to have different spatial and temporal characteristics.     

Simulated Spatial Distribution and Seasonal Variation of Atmospheric Methane over China: Contributions from Key Sources简

We used the global atmospheric chemical transport model,GEOS-Chem,to simulate the spatial distribution and seasonal variation of surface-layer methane （CH4） in 2004,and quantify the impacts of individual domestic sources and foreign transport on CH4 concentrations over China.Simulated surface-layer CH4 concentrations over China exhibit maximum concentrations in summer and minimum concentrations in spring.The annual mean CH4 concentrations range from 1800 ppb over western China to 2300 ppb over the more populated eastern China.Foreign emissions were found to have large impacts on CH4 concentrations over China,contributing to about 85％ of the CH4 concentrations over western China and about 80％ of those over eastern China.The tagged simulation results showed that coal mining,livestock,and waste are the dominant domestic contributors to CH4 concentrations over China,accounting for 36％,18％,and 16％,respectively,of the annual and national mean increase in CH4 concentration from all domestic emissions.Emissions from rice cultivation were found to make the largest contributions to CH4 concentrations over China in the summer,which is the key factor that leads to the maximum seasonal mean CH4 concentrations in summer.     

Incorporation of a dynamic root distribution into CLM4.5: Evaluation of carbon and water fluxes over the Amazon

Roots are responsible for the uptake of water and nutrients by plants and have the plasticity to dynamically respond to different environmental conditions. However, most land surface models currently prescribe rooting profiles as a function only of vegetation type, with no consideration of the surroundings. In this study, a dynamic rooting scheme, which describes root growth as a compromise between water and nitrogen availability, was incorporated into CLM4.5 with carbon–nitrogen(CN) interactions(CLM4.5-CN) to investigate the effects of a dynamic root distribution on eco-hydrological modeling. Two paired numerical simulations were conducted for the Tapajos National Forest km83(BRSa3) site and the Amazon, one using CLM4.5-CN without the dynamic rooting scheme and the other including the proposed scheme. Simulations for the BRSa3 site showed that inclusion of the dynamic rooting scheme increased the amplitudes and peak values of diurnal gross primary production(GPP) and latent heat flux(LE) for the dry season, and improved the carbon(C) and water cycle modeling by reducing the RMSE of GPP by 0.4 g C m~(-2)d~(-1), net ecosystem exchange by 1.96 g C m~(-2)d~(-1), LE by 5.0 W m~(-2), and soil moisture by 0.03 m~3m~(-3), at the seasonal scale, compared with eddy flux measurements, while having little impact during the wet season. For the Amazon, regional analysis also revealed that vegetation responses(including GPP and LE) to seasonal drought and the severe drought of 2005 were better captured with the dynamic rooting scheme incorporated.     

The Decadal Shift of the Summer Climate in the Late 1980s over Eastern China and Its Possible Causes

In this paper, it is pointed out that a notable decadal shift of, the summer climate in eastern China occurred in the late 1980s. In association with this decadal climate shift, after the late 1980s more precipitation appeared in the southern region of eastern China （namely South China）, the western Pacific subtropical high stretched farther westward with a larger south-north extent, and a strengthened anticyclone at 850 hPa appeared in the northwestern Pacific. The decadal climate shift of the summer precipitation in South China was accompanied with decadal changes of the Eurasian snow cover in boreal spring and sea surface temperature （SST） in western North Pacific in boreal summer in the late 1980s. After the late 1980s, the spring Eurasian snow cover apparently became less and the summer SST in western North Pacific increased obviously, which were well correlated with the increase of the South China precipitation. The physical processes are also investigated on how the summer precipitation in China was affected by the spring Eurasian snow cover and summer SST in western North Pacific. The change of the spring Eurasian snow cover could excite a wave-train in higher latitudes, which lasted from spring to summer. Because of the wave-train, an abnormal high appeared over North China and a weak depression over South China, leading to more precipitation in South China. The increase of the summer SST in the western North Pacific reduced the land-sea thermal contrast and thus weakened the East Asian summer monsoon, also leading to more precipitation in South China.     

中国东部夏季气候20世纪80年代后期的年代际转型及其可能成因

指出了中国东部夏季气候在20世纪80年代末出现了一次明显的年代际气候转型。伴随着这次年代际转型,80年代末以后中国东部南方地区降水明显增多,500 hPa西太平洋副热带高压西伸且南北范围变大,西北太平洋上空850 hPa反气旋增强。中国东部夏季80年代后期出现南方多雨的年代际转型与欧亚大陆春季积雪、西北太平洋夏季海面温度的年代际变化存在密切联系,它们也都在80年代末出现年代际转型。从80年代末以后,伴随着欧亚大陆春季积雪明显减少和西北太平洋夏季海面温度明显增高,中国夏季南方降水明显增加。文中分析了欧亚大陆春季积雪和西北太平洋夏季海面温度影响中国降水的物理过程,指出欧亚大陆春季积雪能够在500 hPa激发出大气中的遥相关波列,所激发出的波列可以从春季一直持续到夏季,造成中国北方为高压控制,南方为微弱低压控制,使得降水出现在中国南方。西北太平洋夏季海面温度的升高能够减小海陆热力差异,使得夏季风减弱,导致中国南方地区降水增多。     

主要卫星云气候数据集评述

自20世纪70年代气象卫星进入业务化观测以来,气象卫星已提供了40余年的观测数据。长时间序列的卫星数据为云气候研究提供了可能。基于长时间序列的卫星数据,构建云气候数据集会涉及诸如定标、反演算法、反演数据精度验证等方面。目前国际上也已生成了一系列的云气候数据集,如ISCCP,Patmos-x,CLARA和MODIS-ST等,这些数据集所选用的探测数据、反演算法不尽一致,数据集产品的时空属性各异。如何发挥极轨和静止气象卫星各自优势,融合两类卫星数据,形成高时间分辨率、质量稳定的长时间序列云气候数据集是未来需要解决的问题。     

卫星在热带气旋快速增强观测中的应用进展

热带气旋(TC)快速增强(RI)对我国影响大且预报难度较大,在常规观测资料稀少的海洋上,卫星探测技术的发展,提供了更多的RI TC内部结构变化的有效信息,能够帮助人们进一步认识TC强度的变化规律.文中总结了静止轨道及极地轨道卫星上搭载的可见/红外扫描仪、微波成像仪、降水测量雷达、风场测量仪器、闪电成像仪和云雷达资料在TC RI中的应用以及存在的问题,指出发展小卫星星座及静止轨道微波探测,加强RI TC内部的降水、云微物理和风场等重要信息的时间演变分析,并结合数值模拟进一步研究TC RI的物理机制将是未来的发展方向.     

云对中国区域卫星观测臭氧总量精度影响的检验分析

根据卫星和地基观测, 比较了我国香河、 昆明、 瓦里关和龙凤山四个站点臭氧总量自1979年以来的变化。卫星与地基观测的臭氧总量长期趋势比较一致, 表明臭氧总量均有下降趋势, 但是卫星与地基各自观测的结果仍存在着显著的差别。为研究卫星与地基臭氧总量的差别, 以地基观测臭氧总量为参考, 检验云对历史TOMS (Total Ozone Mapping Spectrometer) 和GOME (Global Ozone Monitoring Experiment) 臭氧总量精度的影响。结果显示: 云 (云量或云顶高度) 增加了卫星臭氧总量误差, 降低数据精度。随着地面云量的增加, TOMS、 GOME臭氧总量相对误差在上述四个地点呈现明显的上升趋势 (瓦里关最为明显), 但最大变化幅度没有超过2.0%。TOMS臭氧总量相对误差随地面云量变化呈现区域性特点, 香河与龙凤山 (代表着中纬度高臭氧总量区域)、 昆明与瓦里关 (代表中、 低纬度高原低臭氧总量区域) 分别为两个变化特点接近的区域。GOME臭氧总量相对误差与云之间关系的区域特征不明显。利用卫星遥测FRESCO (Fast Retrieval Scheme for Clouds from the Oxygen A\|band) 云信息检验GOME卫星臭氧总量精度的表明, 只有当云量大于5成后GOME臭氧总量才显示出相对误差增加的现象, 但无明显趋势; 随着FRESCO云顶高度的增加, GOME臭氧相对误差在香河、 瓦里关均呈现明显的上升趋势并有3%左右幅度的变化。TOMS臭氧总量相对误差随着地面有效反射率的增加而增大, 且误差幅度超过2%; TOMS\|N7臭氧总量比TOMS\|EP约高2.0%~3.0%。分析还表明, 云内和云以下臭氧柱浓度在反演的卫星臭氧总量中的贡献很可能被高估了。     

树轮纪录的500年来青海地区夏半年降水变化特征

利用青海省境内不同区域的3条树木年轮资料重建了青海省1479～1991年共513年的夏半年降水序列,分析发现青海省夏半年降水与1961～1990年降水平均值相比,以降水偏少为主要特征.以这513年的平均值为基准,自1479年以来,青海地区主要经历了10个相对干期和11个相对湿期,其中持续时间较长的湿期有3段分别为1544～1584年(41年)、1667～1719年(53年)、1936～1991年(56年),干期的持续时间都较短.最大墒谱分析发现存在25.0、11.5、4.8、3.7、7.7、6.2、2.2、2.4、2.0年周期.     

Transportation costs and the spatial distribution of land use in the Brazilian Amazon

We examine the question of whether reducing transport costs in the Amazon has lead to increased land clearing. Data on land clearing, transport costs and other related variables from 1975 to 1995 is analyzed using econometric approaches that exploit the dynamic time series dimension of the data to control for possible omitted variables and endogeneity. Our results suggest that the impact of changes in transport costs on clearing depends greatly on the initial land use. Specifically, we find that in regions where a greater proportion of the land is already cleared, reducing transport costs can lessen the rate of future clearing. On the other hand, reducing transport costs through areas that have seen little human activity is more likely to increase deforestation.     

Climatological features of the global tropical subsidence region based on satellite observations

Consisting of subtropical highs and tropical buffer zone, the global tropical subsidence region is the subsidence branches of Hadley cell, Walker circulation and monsoon circulation which are important com-ponents of the global general circulation. This region is closely connected with Asian monsoon. Based on long-term satellite observations of OLR (Outgoing Longwave Radiation) and HIRS-Tbl2 (the bright tem-perature from High-resolution Infra-red Radiation Sounder Channel 12 (6.7μm)), the climatological fea-tures over the global tropical subsidence region are studied in this paper and the main findings are as follows:1) Based on the physical meaning of satellite observed HIRS-12 and comparison with the satellite ob?served OLR and climatological maps of conventional observations of geopotential height and vertical veloc?ity at 500 hPa from NCEP / NCAR reanalysis data, it was found that HIRS-12 might be the best indicator of the global tropical subsidence region from the satellite observations.2) Using satellite observed HIRS-12, some new climatological features were revealed, especially those related with Asian monsoon.3) Comparing the climatological characteristics of tropical subsidence regions between both hemi-spheres, it was found that the circulation in the Northern Hemisphere is more complicated and much closely related with monsoon circulation than that in the Southern Hemisphere. Sudden decay of subsidence movement before monsoon onsets over the South China Sea revealed by HIRS-12 suggested that in the future study of Asian monsoon, it should be paid attention to not only the development of convection but also the variation of tropical subsidence region. It is very useful to monitor the convective and subsidence movements in the tropics by using OLR and HIRS-Tbl2 have been observed from satellite.     

中国气候变化研究中不同时间尺度资料的应用与研究

Temperature and precipitation are two main variables in climate changes.Spatial-temporal resolutions of temperature and precipitation,and recent studies on climate variability in China are summarized and discussed in this review.Recent 100-year datasets are used to reveal quasi-20-year and quasi-70-year oscillations in eastern China,as well as precipitation pattern shift in China.An oscillation with the timescale of 70-80 years is introduced in eastern China.derived from 500-year and 1000-year proxy and observation records.Finally,it is noted that more research achievements on climate change in China depend upon developing or reconstructing long term series,studying in regularity and mechanism,as well as upon prediction and service etc.