Corresponding Relation between Warm Season Precipitation Extremes and Surface Air Temperature in South China

Hourly data of 42 rain gauges over South China during 1966–2005 were used to analyze the corresponding relation between precipitation extremes and surface air temperature in the warm season(May to October).The results show that below 25℃,both daily and hourly precipitation extremes in South China increase with rising temperature.More extreme events transit to the two-time Clausius-Clapeyron(CC)relationship at lower temperatures.Daily as well as hourly precipitation extremes have a decreasing tendency nearly above 25℃,among which the decrease of hourly extremes is much more significant.In order to investigate the efects of rainfall durations,hourly precipitation extremes are presented by short duration and long duration precipitation,respectively.Results show that the dramatic decrease of hourly rainfall intensities above 25℃ is mainly caused by short duration precipitation,and long duration precipitation extremes rarely occur in South China when surface air temperature surpasses 28℃.

Study on the Relationship between the Oceanic Nino Index and Surface Air Temperature and Precipitation Rate over the Kingdom of Saudi Arabia

Abnormal weather conditions and extreme weather existed over the Kingdom Saudi Arabia (KSA) through the last decades. The present paper investigates the relationship between the Oceanic Nino Index (ONI) and variability of surface air temperature and precipitation rate over KSA through the period from 1950 to 2015 year. The NCEP/NCAR Reanalysis of monthly data sets of the mean surface air temperature and precipitation rate for the domain of the KSA is used. In addition, El Nino3.4 monthly data through the period (1950-2015) are used. For that period, the data set of the three months moving average of Nino3.4 anomaly, Oceanic Nino index (ONI), is used and analyzed. The time series, anomaly and correlation coefficient techniques are used to analyze the data sets through the present study. The results revealed that the KSA climate parameters, temperature and precipitation rates are controlled by ONI mainly in the autumn and winter seasons.

Changes in the Covariability of Surface Air Temperature and Precipitation over East Asia Associated with Climate Shift in the Late 1970s

Variations in surface air temperature and precipitation are closely associated because of their thermodynamic relations. The climate shift in the late 1970s and associated changes in precipitation over East Asia have been well reported. However, how the covariability of surface air temperature and precipitation responds to the climate shift is not yet well understood. We used the observed mean(Tmean), daily maximum(Tmax), and minimum(Tmin) surface air temperatures and precipitation during the period of 1953–2000 to explore this issue. Results show that the covariability between Tmean and precipitation experienced remarkable changes over certain areas of East Asia after the climate shift with evident seasonal dependencies. In winter, after the climate shift significantly negative correlations occupied more areas over Mongolia and China. By contrast, in summer after the climate shift significantly negative correlations which existed over almost entire East Asia during the pre-shift period were mostly weakened with the exception of enhanced correlations over some small isolated areas. Changes in the covariability of Tmax and precipitation showed a similar spatial pattern to that of the Tmean, whereas the Tmin-precipitation covariability did not. In winter, after the climate shift positive correlations between Tmin and precipitation over southern China were largely weakened, while the areas with significantly negative correlations increased over Mongolia. In summer, changes in Tmin-precipitation covariability appeared to be a negative-positive-negative pattern from south to north over East Asia, with positive changes occurring in the Yangtze-Huai River valley and Korea and negative changes occurring over South China and Japan, and northern part of East Asia. ?Keywords: surface air temperature, precipitation, co-

Future Changes and Uncertainties in Temperature and Precipitation over China Based on CMIP5 Models

Climate changes in future 21 st century China and their uncertainties are evaluated based on 22 climate models from the Coupled Model Intercomparison Project Phase 5（CMIP5）. By 2081–2100, the annual mean surface air temperature（SAT） is predicted to increase by 1.3℃± 0.7℃, 2.6℃± 0.8℃ and 5.2℃± 1.2℃ under the Representative Concentration Pathway（RCP） scenarios RCP2.6, RCP4.5 and RCP8.5, relative to 1986–2005, respectively. The future change in SAT averaged over China increases the most in autumn/winter and the least in spring, while the uncertainty shows little seasonal variation.Spatially, the annual and seasonal mean SAT both show a homogeneous warming pattern across China, with a warming rate increasing from southeastern China to the Tibetan Plateau and northern China, invariant with time and emissions scenario.The associated uncertainty in SAT decreases from northern to southern China. Meanwhile, by 2081–2100, the annual mean precipitation increases by 5% ± 5%, 8% ± 6% and 12% ± 8% under RCP2.6, RCP4.5 and RCP8.5, respectively. The national average precipitation anomaly percentage, largest in spring and smallest in winter, and its uncertainty, largest in winter and smallest in autumn, show visible seasonal variations. Although at a low confidence level, a homogeneous wetting pattern is projected across China on the annual mean scale, with a larger increasing percentage in northern China and a weak drying in southern China in the early 21 st century. The associated uncertainty is also generally larger in northern China and smaller in southwestern China. In addition, both SAT and precipitation usually show larger seasonal variability on the sub-regional scale compared with the national average.

Links between Arctic sea ice and extreme summer precipitation in China:an alternative view

Potential links between the Arctic sea-ice concentration anomalies and extreme precipitation in China are explored. Associations behind these links can be explained by physical interpretations aided by visualisations of temporarily lagged composites of variables such as atmospheric mean sea level pressure and sea surface temperature. This relatively simple approach is verified by collectively examining already known links between the Arctic sea ice and rainfall in China. For example, similarities in the extreme summer rainfall response to Arctic sea-ice concentration anomalies either in winter （DJF） or in spring （MAM） are highlighted. Furthermore, new links between the Arctic sea ice and the extreme weather in India and Eurasia are proposed. The methodology developed in this study can be further applied to identify other remote impacts of the Arctic sea ice variability.

THE SENSITIVITY TEST STUDY OF AIR-SEA SURFACE FLUX MODEL

In this article, a sensitivity test of air-sea surface flux model was carried out with the field observation data of Project “South China Sea Air-Sea Flux Measurement in 2000”. The results show that sensible heat fluxes are sensitive to observation errors, increasing the error of model calculation; In contrast, the latent heat flux and momentum flux are not as sensitive to observation errors as the sensible heat, and their calculated results are reliable. The test result also verifies the rationality of the surface flux values calculated and the conclusions can be used to detect errors in observed data.

Impacts of Land-Use Data on the Simulation of Surface Air Temperature in Northwest China

This study examines the impacts of land-use data on the simulation of surface air temperature in Northwest China by the Weather Research and Forecasting(WRF) model. International Geosphere–Biosphere Program(IGBP) landuse data with 500-m spatial resolution are generated from Moderate Resolution Imaging Spectroradiometer(MODIS)satellite products. These data are used to replace the default U.S. Geological Survey(USGS) land-use data in the WRF model. Based on the data recorded by national basic meteorological observing stations in Northwest China, results are compared and evaluated. It is found that replacing the default USGS land-use data in the WRF model with the IGBP data improves the ability of the model to simulate surface air temperature in Northwest China in July and December 2015. Errors in the simulated daytime surface air temperature are reduced, while the results vary between seasons. There is some variation in the degree and range of impacts of land-use data on surface air temperature among seasons. Using the IGBP data, the simulated daytime surface air temperature in July 2015 improves at a relatively small number of stations, but to a relatively large degree; whereas the simulation of daytime surface air temperature in December 2015 improves at almost all stations, but only to a relatively small degree(within 1°C). Mitigation of daytime surface air temperature overestimation in July 2015 is influenced mainly by the change in ground heat flux. The modification of underestimated temperature comes mainly from the improvement of simulated net radiation in December 2015.

Atmospheric Circulation Patterns over East Asia and Their Connection with Summer Precipitation and Surface Air Temperature in Eastern China during 1961–2013

Based on the NCEP/NCAR reanalysis data and Chinese observational data during 1961–2013, atmospheric circulation patterns over East Asia in summer and their connection with precipitation and surface air temperature in eastern China as well as associated external forcing are investigated. Three patterns of the atmospheric circulation are identified, all with quasi-barotropic structures：（1） the East Asia/Pacific（EAP） pattern,（2） the Baikal Lake/Okhotsk Sea（BLOS） pattern, and（3） the eastern China/northern Okhotsk Sea（ECNOS） pattern. The positive EAP pattern significantly increases precipitation over the Yangtze River valley and favors cooling north of the Yangtze River and warming south of the Yangtze River in summer. The warm sea surface temperature anomalies over the tropical Indian Ocean suppress convection over the northwestern subtropical Pacific through the Ekman divergence induced by a Kelvin wave and excite the EAP pattern. The positive BLOS pattern is associated with below-average precipitation south of the Yangtze River and robust cooling over northeastern China. This pattern is triggered by anomalous spring sea ice concentration in the northern Barents Sea. The anomalous sea ice concentration contributes to a Rossby wave activity flux originating from the Greenland Sea, which propagates eastward to North Pacific. The positive ECNOS pattern leads to below-average precipitation and significant warming over northeastern China in summer. The reduced soil moisture associated with the earlier spring snowmelt enhances surface warming over Mongolia and northeastern China and the later spring snowmelt leads to surface cooling over Far East in summer, both of which are responsible for the formation of the ECNOS pattern.

REMOTE SENSING OF AIR TEMPERATURE PROFILE AND SURFACE EMISSIVITY FROM HIRS2 DATA

A physical method,based on the simplification of surface radiation terms in remote sensing equations, has been suggested to retrieve the surface temperature,vertical temperature profile and surface emissivity from the first eight channel observations of TIROS-N/HIRS2.Analyses of several examples indicate that this method can obtain much more accurate temperatures in the lower atmosphere than a statistical technique, and that the surface temperature and emissivity retrieved are also reasonable.

基于观测和再分析资料的气温、海表温度在江苏海域的比较分析

文章利用海洋台站观测资料,对3类再分析资料的气温、海表温度数据在江苏海域进行比较分析。结果表明:总体而言,气温、海表温度的再分析数据与观测数据均具有很高的一致性,且海表温度再分析数据与观测数据的一致性高于气温再分析数据;在3种再分析资料中,ERA5的可靠性优于JRA-55和NCEP;在离岸较远的外磕脚测点,再分析数据与观测数据的一致性高于另2个测点;在台风影响期间,吕四测点、外磕脚测点的再分析数据与观测数据更为接近,在更近岸的连云港测点,再分析数据与观测数据的差异更大;在冷空气造成的气温下降期间,再分析数据与观测数据的差异较小,但在气温缓步回升期间,吕四测点、外磕脚测点的再分析数据明显高于观测数据;在冷空气影响过程中,再分析数据反映的海表温度下降幅度明显低于观测数据。本研究可为再分析资料在江苏海域的适用性和可信度提供评估依据。

CHANGES OF PRECIPITATION IN CHINA DUE TO THE ENHANCED GREENHOUSE EFFECT

We mainly discuss changes of precipitation in China due to growinggreenhouse gases using GCM1 model assuming the IPCC 'Business-as-Usual'Scenario. An increasing greenhouse effect will lead to precipitation increasesmostly in north of 30°N for winter, and strongly increases alap a slant belt fromNortheast China to Bay of Bangal for summer in China. The mp of increasingprecipitation are about 7.9, -0.7 and 13.6 percent for winter, and 6.4, 12.9 and 8.4percent for summer m China, Changjinang and Huanghe river valleys, respectively.The model results are also shown to imply that an increasing greenhouse effectenhances chanas of intense storms and shown for winter and summer in China.

BCC-ESM1 Model Datasets for the CMIP6 Aerosol Chemistry Model Intercomparison Project (AerChemMIP)

BCC-ESM1 is the first version of the Beijing Climate Center’s Earth System Model,and is participating in phase 6 of the Coupled Model Intercomparison Project(CMIP6).The Aerosol Chemistry Model Intercomparison Project(AerChemMIP)is the only CMIP6-endorsed MIP in which BCC-ESM1 is involved.All AerChemMIP experiments in priority 1 and seven experiments in priorities 2 and 3 have been conducted.The DECK(Diagnostic,Evaluation and Characterization of Klima)and CMIP historical simulations have also been run as the entry card of CMIP6.The AerChemMIP outputs from BCC-ESM1 have been widely used in recent atmospheric chemistry studies.To facilitate the use of the BCC-ESM1 datasets,this study describes the experiment settings and summarizes the model outputs in detail.Preliminary evaluations of BCC-ESM1 are also presented,revealing that:the climate sensitivities of BCC-ESM1 are well within the likely ranges suggested by IPCC AR5;the spatial structures of annual mean surface air temperature and precipitation can be reasonably captured,despite some common precipitation biases as in CMIP5 and CMIP6 models;a spurious cooling bias from the 1960s to 1990s is evident in BCC-ESM1,as in most other ESMs;and the mean states of surface sulfate concentrations can also be reasonably reproduced,as well as their temporal evolution at regional scales.These datasets have been archived on the Earth System Grid Federation(ESGF)node for atmospheric chemistry studies.

近水面温湿度变化特征及水面蒸发量计算差异性分析

水面蒸发是水循环的主要途径之一,气象要素是影响水面蒸发的重要因素。为分析温度和湿度与水面蒸发量的关系,通过野外试验对水面上25 cm和35 cm处气温和相对湿度进行监测。同时,利用修正的Penman-Monteith方程计算了水面蒸发量,并与气象站数据计算结果进行比对。结果表明:近水面不同高度处相对湿度与气象站监测结果差异显著,差值均值在12%左右;近水面处气温和气象站监测气温的差异与距离水面高度有关,水面上25 cm和35 cm处气温和气象站气温的差值分别为(1.5±1.0)℃和(1.8±2.0)℃。水面蒸发量计算结果表明:气象站气象数据计算的水面蒸发量最大,而利用水面上25 cm和35 cm处气温和相对湿度计算的水面蒸发量近似。本研究为利用气象站数据计算水面蒸发量及结果修正提供了数据支撑。

中国可降水量时空分布及其变化趋势分析

为了探究2003—2021年中国可降水量时空分布及其变化趋势特点,采用美国国家航空航天局地球观测系统卫星Aqua上AIRS探测仪反演的AIRS3STM中可降水量数据,通过线性拟合、Mann-Kendall检验和经验正交函数分析法,分析其时空变化影响因素。结果表明:(1)中国日间、夜间年际可降水量呈上升趋势,日间上升速率为0.044 (kg/m^(2))/a,夜间上升速率为0.062 (kg/m^(2))/a,并得出日间、夜间突变点发生时间分别是2014年和2008年。(2)中国日间、夜间四季变化均为上升趋势,夏季变化速率最大,春季、冬季变化速率较低,仅日间夏季和夜间的夏、秋和冬季通过了α=0.05的显著性检验。(3)中国日间可降水量和地表温度空间分布与纬度呈负相关,纬度越低,可降水量、地表温度越高,华南地区可降水量较高,西北地区偏低,利用EOF分析法选取部分典型区域也验证了以上规律。(4)可降水量与地表温度呈正相关,地表温度越高,其上升趋势越明显。研究成果对中国的气候、地形分布以及自然灾害预警均有一定参考意义。

液态降水与地表气温对北极海冰开始融化时间的影响

海冰最早开始融化时间(EMO)是体现海冰融化的重要指标,也是影响海冰热收支的关键因素。本文使用EMO遥感数据、ERA5再分析资料和海冰密集度数据分析研究了地表气温和液态降水对EMO影响的相对贡献。研究显示,在5个研究海区中,大西洋扇区南区EMO提前最显著,1979-2021年的变化率为-3.3 d/(10 a)。北极各海区的地表气温与EMO有着持续1~2个月的显著相关时段,其中太平洋扇区南区、大西洋扇区北区和南区的地表气温较液态降水与EMO相关的持续时间更长,相关性也更强;而对太平洋扇区北区和北极中央区,只有在EMO发生前的2~3周,液态降水对其EMO有着更高的贡献。对于太平洋扇区北区,大气环流提供的强水汽输送通道伸入该海区,使对流层低层饱和水汽增多,500 hPa位势高度的多年变化趋势具有三波绕极环流加强的结构,也有利于经向的热量交换,使比湿的垂向梯度进一步增加,为该海区EMO的提前起到一定的促进作用。对于北极中央区,在EMO提前的年份,液态降水较常年偏高33%,不仅气候态意义下的太平洋水汽通道的输送加强,欧亚大陆上空的水汽通道也与之汇合,促使北极东部形成气旋式水汽输送模态,为EMO的提前发生提供了有利条件。

近30年渤海水文和气象状况的长期变化及其相互关系

利用线性回归方法对渤海和北黄海西部沿岸 7个海洋站 1 965— 1 997年实测海洋表层水温和盐度及地面气温和降水等 4个水文气象要素的长期变化趋势作了分析 ,得出渤海在这 32年期间海表温度年变率为 0 .0 1 5℃ /a ,由此推算得出 32年升高 0 .48℃ ;海表盐度年变率为 0 .0 4 2 /a ,32年升高 1 .34;气温年变率为 0 .0 34℃ /a ,32年升高 1 .0 9℃ ;降水年变率为- 2 .73mm/a,32年减少 87mm。这 4个要素之间及其与厄尔尼诺指数之间的超前 /滞后线性回归分析表明 ,海温与气温的年际变化相关关系最密切 ,相关系数达到 76.5 % ,置信度高于0 .99。其次是盐度与降水 ,它们之间亦有良好关系。同年盐度和降水之间的相关系数为- 43.6% ,盐度落后降水一年时相关系数为 - 39.2 % ,置信度均高于 0 .95。由此可推知 ,盐度变化平均落后降水约半年。渤海水文气象状况变化与厄尔尼诺有一定关系 ,其中以降水与厄尔尼诺关系最密切 ,1 982— 1 983年厄尔尼诺期间渤海气温和水温较高 ,降水显著偏少且海水盐度显著偏高。

基于TIGGE资料的地面气温和降水的多模式集成预报

利用TIGGE资料集下中国气象局(CMA)、欧洲中期天气预报中心(ECMWF)、日本气象厅(JMA)、美国国家环境预报中心(NCEP)和英国气象局(UKMO)5个中心集合预报结果,对多模式集成预报方法进行讨论。结果表明,多模式集成方法的预报效果优于单个中心的预报,但对于不同预报要素多模式集成方法的适用性存在差异。滑动训练期超级集合(R-SUP)对北半球地面气温的改进效果最优,但此方法对降水场的改进效果并不理想。在北半球中低纬24h累积降水的回报试验中,消除偏差(BREM)的结果优于单个中心的预报,且此方法预报结果稳定。进一步利用滑动训练期消除偏差(R-BREM)集合平均对2008年1月中国南方极端雨雪冰冻过程进行多模式集成预报试验,结果表明,在固定误差范围内,R-BREM将中国南方大部分地区的地面气温预报时效由最优数值预报中心的96h延长至192h,且除个别时效外,小雨、中雨的TS评分得到明显提高。

近代中国北方干湿变化趋势的多时段特征

利用CRU(Climate Research Unit)月降水和月平均气温资料, 通过构造一个既包含降水变化又考虑温度变化对潜在蒸发影响的干湿指标, 对我国北方近100年(1901～1998年)、 50年(1951～2002年)、 20年(1981～2002年)和近10年(1991～2002年)干湿变化趋势进行了系统的检测和分析, 突出了在全球增暖背景下温度变化对干湿变化的重要影响, 揭示了中国北方四个不同时段干湿变化趋势的基本特征.结果表明: 由于受温度升高的影响, 近100年我国西部地区降水尽管增加但并不存在变湿趋势, 而东部地区降水显著增加的地区明显呈现出变湿趋势, 显著变湿的范围较降水增加的范围大, 且强度明显增强, 这与这个地区温度的降低有关.在近50年, 100°E以东的北方地区是明显的干旱化趋势; 西北西部显著变湿的范围较降水显著增加的范围为小, 而东部干旱化区域的范围较降水显著减少的区域大.这充分说明了增暖能够减弱降水增加对地表水分收支的贡献, 也就是加剧降水减少的干旱化程度.在近20年, 新疆北部尽管降水量有所增加, 但并未改变该地区干旱化的时空格局, 也未发现显著的变湿趋势存在, 这个时段北方大部分地区仍然以干旱化趋势为主.特别值得注意的是, 在有些地区干湿指标的变化趋势与降水的变化趋势完全相反.在20年和近100年时段上, 我国西部大部分地区仍处在一个干旱化的进程中, 而华北地区在20年和50年时段上均表现为一个干旱化的趋势.

PRECIS对华南地区气候模拟能力的验证

分别采用ECMWF 1979-1993再分析数据作为准观测边界条件和由HadAM3P模拟的大尺度场驱动英国Hadley气候预测和研究中心的区域气候模式系统PRECIS,将华南地区的模拟结果与实测资料进行比较,验证PRECIS对华南地区区域气候的模拟能力,并检验GCM模拟的大尺度边界场的误差对PRECIS模拟能力的影响。结果显示PRECIS模拟的年平均气温、降水的区域分布和频率分布与实测数据均有较好的一致性,气温的相关系数为0.95,降水超过0.6。通过统计学方法的分析,表明PRECIS能较好的模拟出华南地区气候的周期变化和时空特征分布。通过比较分析GCM模拟的大尺度场作为边界条件驱动PRECIS的模拟结果,显示GCM产生的边界值的偏差对PRECIS的模拟效果没有明显的影响。

中国东部土壤温度、湿度变化的长期趋势及其与气候背景的联系

利用1971—2000年中国722站逐月的土壤温度资料和1981—1998年178站逐旬的土壤湿度观测资料,分析了中国东部土壤温度、湿度变化的长期趋势及其与气温、降水变化的关系。结果表明:①我国东部土壤温度的变化在年际—年代际时间尺度上存在明显的区域性差异,其中东北地区表现为持续上升型,而西北东部—华北、江淮和西南—华南地区均为先降后升型;②1970—2000年代,土壤温度的变化在东北以及西北东部—华北地区有显著的上升趋势,而在江淮和西南—华南地区,总体而言变化趋势不显著。此外,1980—1990年代,各区域土壤湿度的变化趋势均不显著;③在年际—年代际尺度上,各区域土壤温度和气温的变化具有显著的正相关关系,而土壤湿度与土壤温度的变化普遍呈负相关关系,其中尤以西北东部—华北地区最为显著。而在较长的时间尺度上,土壤湿度与降水的变化仍然存在较好的正相关关系。