Improved simulation of winter wheat yield in North China Plain by using PRYM-Wheat integrated dry matter distribution coefficient

The accurate simulation of regional-scale winter wheat yield is important for national food security and the balance of grain supply and demand in China.Presently,most remote sensing process models use the“biomass×harvest index(HI)”method to simulate regional-scale winter wheat yield.However,spatiotemporal differences in HI contribute to inaccuracies in yield simulation at the regional scale.Time-series dry matter partition coefficients(Fr)can dynamically reflect the dry matter partition of winter wheat.In this study,Fr equations were fitted for each organ of winter wheat using site-scale data.These equations were then coupled into a process-based and remote sensingdriven crop yield model for wheat(PRYM-Wheat)to improve the regional simulation of winter wheat yield over the North China Plain(NCP).The improved PRYM-Wheat model integrated with the fitted Fr equations(PRYM-Wheat-Fr)was validated using data obtained from provincial yearbooks.A 3-year(2000-2002)averaged validation showed that PRYM-Wheat-Fr had a higher coefficient of determination(R^(2)=0.55)and lower root mean square error(RMSE=0.94 t ha^(-1))than PRYM-Wheat with a stable HI(abbreviated as PRYM-Wheat-HI),which had R^(2) and RMSE values of 0.30 and 1.62 t ha^(-1),respectively.The PRYM-Wheat-Fr model also performed better than PRYM-Wheat-HI for simulating yield in verification years(2013-2015).In conclusion,the PRYM-Wheat-Fr model exhibited a better accuracy than the original PRYM-Wheat model,making it a useful tool for the simulation of regional winter wheat yield.

Mapping Spatial and Temporal Variations of Leaf Area Index for Winter Wheat in North China

Leaf area index （LAI） is an important parameter in a number of models related to ecosystem functioning, carbon budgets, climate, hydrology, and crop growth simulation. Mapping and monitoring the spatial and temporal variations of LAI are necessary for understanding crop growth and development at regional level. In this study, the relationships between LAI of winter wheat and Landsat TM spectral vegetation indices （SVIs） were analyzed by using the curve estimation procedure in North China Plain. The series of LAI maps retrieved by the best regression model were used to assess the spatial and temporal variations of winter wheat LAI. The results indicated that the general relationships between LAI and SVIs were curvilinear, and that the exponential model gave a better fit than the linear model or other nonlinear models for most SVIs. The best regression model was constructed using an exponential model between surface-reflectance-derived difference vegetation index （DVI） and LAI, with the adjusted R2 （0.82） and the RMSE （0.77）. The TM LAI maps retrieved from DVILAI model showed the significant spatial and temporal variations. The mean TM LAI value （30 m） for winter wheat of the study area increased from 1.29 （March 7, 2004） to 3.43 （April 8, 2004）, with standard deviations of 0.22 and 1.17, respectively. In conclusion, spectral vegetation indices from multi-temporal Landsat TM images can be used to produce fine-resolution LAI maps for winter wheat in North China Plain.

Fate of ^(15)N-Labeled Urea Under a Winter Wheat-Summer Maize Rotation on the North China Plain

A field experiment was conducted to investigate the fate of ^15N-labeled urea and its residual effect under the winter wheat （Triticum aestivum L.） and summer maize （Zea mays L.） rotation system on the North China Plain. Compared to a conventional application rate of 360 kg N ha^-1 （N360）, a reduced rate of 120 kg N ha^-1 （N120） led to a significant increase （P 〈 0.05） in wheat yield and no significant differences were found for maize. However, in the 0-100 cm soil profile at harvest, compared with N360, N120 led to significant decreases （P 〈 0.05） of percent residual N and percent unaccounted-for N, which possibly reflected losses from the managed system. Of the residual fertilizer N in the soil profile, 25.6%-44.7% and 20.7%-38.2% for N120 and N360, respectively, were in the organic N pool, whereas 0.3%-3.0% and 11.2%-24.4%, correspondingly, were in the nitrate pool, indicating a higher potential for leaching loss associated with application at the conventional rate. Recovery of residual N in the soil profile by succeeding crops was less than 7.5% of the applied N. For N120, total soil N balance was negative; however, there was still considerable mineral N （NH4^＋-N and NO3^--N） in the soil profile after harvest. Therefore, N120 could be considered ngronomically acceptable in the short run, but for long-term sustainability, the N rate should be recommended based on a soil mineral N test and a plant tissue nitrate test to maintain the soil fertility.

REMOTE SENSING BASED ESTIMATION SYSTEM FOR WINTER WHEAT YIELD IN NORTH CHINA PLAIN

This paper presents the applications of Landsat Thematic Mapper (TM) data and Advanced Very High Resolution Radiometer (AVHRR) time series data for winter wheat production estimation in North China Plain. The keytechniques are described systematically about winter wheat yield estimation system, including automatically extractingwheat area, simulating and monitoring wheat growth situation, building wheat unit yield model of large area and forecasting wheat production. Pattern recognition technique was applied to extract sown area using TM data. Temporal NDVI(Normal Division Vegetation Index) profiles were produced from 8 - 12 times AVHRR data during wheat growth dynamically. A remote sensing yield model for large area was developed based on greenness accumulation, temperature andgreenness change rate. On the basis of the solution of key problems, an operational system for winter wheat yield estimation in North China Plain using remotely sensed data was established and has operated since 1993, which consists of 4 subsystems, namely databases management, image processing, models bank management and production prediction system.The accuracy of wheat production prediction exceeded 96 per cent compared with on the spot measurement.

Influence of the NAO on Wintertime Surface Air Temperature over East Asia:Multidecadal Variability and Decadal Prediction

In this paper,we investigate the influence of the winter NAO on the multidecadal variability of winter East Asian surface air temperature(EASAT)and EASAT decadal prediction.The observational analysis shows that the winter EASAT and East Asian minimum SAT(EAmSAT)display strong in-phase fluctuations and a significant 60-80-year multidecadal variability,apart from a long-term warming trend.The winter EASAT experienced a decreasing trend in the last two decades,which is consistent with the occurrence of extremely cold events in East Asia winters in recent years.The winter NAO leads the detrended winter EASAT by 12-18 years with the greatest significant positive correlation at the lead time of 15 years.Further analysis shows that ENSO may affect winter EASAT interannual variability,but does not affect the robust lead relationship between the winter NAO and EASAT.We present the coupled oceanic-atmospheric bridge(COAB)mechanism of the NAO influences on winter EASAT multidecadal variability through its accumulated delayed effect of~15 years on the Atlantic Multidecadal Oscillation(AMO)and Africa-Asia multidecadal teleconnection(AAMT)pattern.An NAO-based linear model for predicting winter decadal EASAT is constructed on the principle of the COAB mechanism,with good hindcast performance.The winter EASAT for 2020-34 is predicted to keep on fluctuating downward until~2025,implying a high probability of occurrence of extremely cold events in coming winters in East Asia,followed by a sudden turn towards sharp warming.The predicted 2020/21 winter EASAT is almost the same as the 2019/20 winter.

A Statistical Scheme for the Seasonal Forecasting of North China's Surface Air Temperature during Winter

This paper presents a statistical scheme for the seasonal forecasting of North China's surface air temperature (NCSAT) during winter. Firstly, a prediction model for an decrease or increase of winter NCSAT is established, whose predictors are available for no later than the previous September, as this is the most favorable month for seasonal forecasting up to two months ahead.The predicted NCSAT is then derived as the sum of the predicted increment of NCSAT and the previous NCSAT. The scheme successfully predicts the interannual and the decadal variability of NCSAT. Additionally, the advantages of the prediction scheme are discussed.

Calibration and validation of SiBcrop Model for simulating LAI and surface heat fluxes of winter wheat in the North China Plain

The accurate representation of surface characteristic is an important process to simulate surface energy and water flux in land-atmosphere boundary layer.Coupling crop growth model in land surface model is an important method to accurately express the surface characteristics and biophysical processes in farmland.However,the previous work mainly focused on crops in single cropping system,less work was done in multiple cropping systems.This article described how to modify the sub-model in the SiBcrop to realize the accuracy simulation of leaf area index(LAI),latent heat flux(LHF)and sensible heat flux(SHF)of winter wheat growing in double cropping system in the North China Plain(NCP).The seeding date of winter wheat was firstly reset according to the actual growing environment in the NCP.The phenophases,LAI and heat fluxes in 2004–2006 at Yucheng Station,Shandong Province,China were used to calibrate the model.The validations of LHF and SHF were based on the measurements at Yucheng Station in 2007–2010 and at Guantao Station,Hebei Province,China in 2009–2010.The results showed the significant accuracy of the calibrated model in simulating these variables,with which the R2,root mean square error(RMSE)and index of agreement(IOA)between simulated and observed variables were obviously improved than the original code.The sensitivities of the above variables to seeding date were also displayed to further explain the simulation error of the SiBcrop Model.Overall,the research results indicated the modified SiBcrop Model can be applied to simulate the growth and flux process of winter wheat growing in double cropping system in the NCP.

Integrating a novel irrigation approximation method with a process-based remote sensing model to estimate multi-years'winter wheat yield over the North China Plain

Accurate estimation of regional winter wheat yields is essential for understanding the food production status and ensuring national food security.However,using the existing remote sensing-based crop yield models to accurately reproduce the inter-annual and spatial variations in winter wheat yields remains challenging due to the limited ability to acquire irrigation information in water-limited regions.Thus,we proposed a new approach to approximating irrigations of winter wheat over the North China Plain(NCP),where irrigation occurs extensively during the winter wheat growing season.This approach used irrigation pattern parameters(IPPs)to define the irrigation frequency and timing.Then,they were incorporated into a newly-developed process-based and remote sensing-driven crop yield model for winter wheat(PRYM–Wheat),to improve the regional estimates of winter wheat over the NCP.The IPPs were determined using statistical yield data of reference years(2010–2015)over the NCP.Our findings showed that PRYM–Wheat with the optimal IPPs could improve the regional estimate of winter wheat yield,with an increase and decrease in the correlation coefficient(R)and root mean square error(RMSE)of 0.15(about 37%)and 0.90 t ha–1(about 41%),respectively.The data in validation years(2001–2009 and 2016–2019)were used to validate PRYM–Wheat.In addition,our findings also showed R(RMSE)of 0.80(0.62 t ha–1)on a site level,0.61(0.91 t ha–1)for Hebei Province on a county level,0.73(0.97 t ha–1)for Henan Province on a county level,and 0.55(0.75 t ha–1)for Shandong Province on a city level.Overall,PRYM–Wheat can offer a stable and robust approach to estimating regional winter wheat yield across multiple years,providing a scientific basis for ensuring regional food security.

Reconstruction of Sub-Decadal Winter Half-Year Temperature during 1651-2010 for the North China Plain Using Records of Frost Date

We extracted 374 pieces of records of frost date from historical documents. Using these records, we reconstructed winter half-year (October to next April) temperature series, with a resolution of 5-year, for the North China Plain during 1651-2010. The results show that the temperature changes in the North China Plain were divided into four phases. With the reference period of 1951-1980, two cold phases, 1651-1700 and 1781-1900, have cold anomaly of 0.83°C and 0.60°C respectively. However, between the two cold phases, 1701-1780 was a relative warm phase with the cold anomaly of 0.36°C referring to the mean of 1951-1980. After the 1900, the climate came into a warm phase. The mean temperature of 1901-2010 was 0.11°C higher than the mean of 1951-1980. During 1651-2010, the 1996-2000 is the warmest 5-year with the warm anomaly of 1.25°C than that of the reference period of 1951-1980.

A simulation of winter wheat crop responses to irrigation management using CERES-Wheat model in the North China Plain

To improve efficiency in the use of water resources in water-limited environments such as the North China Plain（NCP）, where winter wheat is a major and groundwater-consuming crop, the application of water-saving irrigation strategies must be considered as a method for the sustainable development of water resources. The initial objective of this study was to evaluate and validate the ability of the CERES-Wheat model simulation to predict the winter wheat grain yield, biomass yield and water use efficiency（WUE） responses to different irrigation management methods in the NCP. The results from evaluation and validation analyses were compared to observed data from 8 field experiments, and the results indicated that the model can accurately predict these parameters. The modified CERES-Wheat model was then used to simulate the development and growth of winter wheat under different irrigation treatments ranging from rainfed to four irrigation applications（full irrigation） using historical weather data from crop seasons over 33 years（1981–2014）. The data were classified into three types according to seasonal precipitation： 〈100 mm, 100–140 mm, and 〉140 mm. Our results showed that the grain and biomass yield, harvest index（HI） and WUE responses to irrigation management were influenced by precipitation among years, whereby yield increased with higher precipitation. Scenario simulation analysis also showed that two irrigation applications of 75 mm each at the jointing stage and anthesis stage（T3） resulted in the highest grain yield and WUE among the irrigation treatments. Meanwhile, productivity in this treatment remained stable through different precipitation levels among years. One irrigation at the jointing stage（T1） improved grain yield compared to the rainfed treatment and resulted in yield values near those of T3, especially when precipitation was higher. These results indicate that T3 is the most suitable irrigation strategy under variable precipitation regimes for stable yield of winter wheat with maximum water savings in the NCP. The application of one irrigation at the jointing stage may also serve as an alternative irrigation strategy for further reducing irrigation for sustainable water resources management in this area.

The combined effects of North Atlantic Oscillation and Western Pacific teleconnection on winter temperature in Eastern Asia during 1980−2021

As important atmospheric circulation patterns in Northern Hemisphere(NH),the North Atlantic Oscillation(NAO)and the Western Pacific teleconnection(WP)affect the winter climate in Eurasia.In order to explore the combined effects of NAO and WP on East Asian(EA)temperature,the NAO and WP indices are divided into four phases from 1980−2021:the positive NAO and WP phase(NAO+/WP+),the negative NAO and WP phase(NAO−/WP−),the positive NAO and negative WP phase(NAO+/WP−),the negative NAO and positive WP phase(NAO−/WP+).In the phase of NAO+/WP+,the low geopotential height(GH)stays in north of EA at 50°−80°N;the surface air temperature anomaly(SATA)is 0.8−1℃lower than Southern Asian.In the phase of NAO−/WP−,the center of high temperature and GH locate in the northeast of EA;the cold air spreads to Southern Asia,causing the SATA decreases 1−1.5℃.In the phase of NAO+/WP−,the high GH belt is formed at 55°−80°N.Meanwhile,the center of high SATA locates in the north of Asia that increases 0.8−1.1℃.The cold airflow causes temperature dropping 0.5−1℃in the south of EA.The SATA improves 0.5−1.5℃in south of EA in the phase of NAO−/WP+.The belt of high GH is formed at 25°−50°N,and blocks the cold air which from Siberia.The NAO and WP generate two warped plate pressure structures in NH,and affect the temperature by different pressure configurations.NAO and WP form different GH,and GH acts to block and push airflow by affecting the air pressure,then causes the temperature to be different from the north and south of EA.Finally,the multiple linear regression result shows that NAO and WP are weakened by each other such as the phase of NAO+/WP+and NAO−/WP−.

Winter Wheat Drought Monitoring and Comprehensive Risk Assessment： Case Study of Xingtai Administrative District in North China

Drought monitoring is the base for drought coping and adaptation. Xingtai is located in North China＇s key winter wheat production areas where drought is severe and frequent. The rainfall during winter wheat growing season is just about 1/3 of total demand. Xingtai has typical mountainous, hilly and plain agricultural zones, compound rain-fed and irrigated farming patterns. The winter wheat irrigation has heavily depended on overdraw of groundwater in recent decades. In the study, the MODIS （Moderate-Resolution Imaging Spectroradiometer） images taken at the key winter wheat growing season （Mar. to May） in normal rainfall year （2006） were selected, extracted NDVI （Normalized Difference Vegetation Index） and LST （Land Surface Temperature） data, calculated TVDI （Temperature and Vegetation Drought Index）, classified and mapped winter wheat drought intensity. Further, based on TVDI, a CDRA （Comprehensive Drought Risk Assessment） model for winter wheat drought disaster risk assessment was constructed and zoning was made. Verified by winter wheat yield, the risk zoning by CDRA is consistent with actual crop failure space. This method can be used in drought risk management.

北海钻井平台Winterization Basic符号的解读

北海区域丰富的油气资源吸引了各种高精尖半潜钻井平台云集此地,各船厂、设计公司也争相研发适用于北海恶劣海况的半潜钻井平台。从长远的发展来看,Winterization Basic这一平台的入籍符号会逐渐成为适用于北海恶劣海况的半潜平台的最基本要求。目前烟台中集来福士海洋工程有限公司已经成功交付有3座半潜平台在北海区域服务,也即将交付第四座带有Winterization Basic这一入籍符号的半潜平台COSLProspector。本文以COSLProspector项目Winterization Basic设计为例,概述总结了整个基础、详细的施工设计过程的经验教训。

挪威北海海洋工程项目NORSOK,Winterization Basic下HVAC设计浅谈

本文主要介绍挪威北海海洋工程上遵守北海规范要求下的HVAC设计注意事项,主要以烟台中集来福士海洋工程公司为中海油服挪威公司建造的COSLProspector半潜钻井平台为例,分析了要满足挪威北海规范海洋工程项目上的通风空调的设计。

秋季北大西洋马蹄型海温异常与初冬我国气温年际变化的联系

本文基于Hadley中心的海表温度资料、全国160站气温资料以及National Centers for Environmental Prediction/National Center for Atmospheric Research(NCEP/NCAR)的再分析资料,运用经验正交函数(empirical orthogonal function,EOF)分解和相关分析等多种统计方法,研究了1951~2020年秋季(9~11月)北大西洋海温年际异常的主要特征及其对初冬(12月)我国气温异常的影响。结果表明:秋季北大西洋海温异常EOF的第一模态是纽芬兰岛东南部海温为负(正)距平,北大西洋副极地和副热带及其东部海温为正(负)距平的马蹄型海温模态,方差贡献率为20.5%。研究表明,秋季北大西洋马蹄型海温异常与我国大部分地区初冬气温异常有显著的正相关关系,即秋季北大西洋马蹄型海温模态呈正位相时,我国大部分地区初冬气温偏高,反之,我国大部分地区初冬气温偏低。进一步分析表明,秋季北大西洋马蹄型海温异常能够持续到初冬。当秋季北大西洋马蹄型海温呈正(负)位相时,初冬北大西洋副极地和副热带海温异常通过加热(冷却)异常能够引起局地对流层上层的辐散(辐合)运动,并且激发出南、北两支Rossby波列。其中,北支波列由北大西洋副极地向东北方向传播至巴伦支海附近,然后沿西伯利亚向东南方向传播至我国上空;南支波列由北大西洋副热带向东传播至我国上空。在南、北支波列的影响下,我国上空对流层上层出现异常辐合(辐散),与之伴随的异常下沉(上升)运动使得我国上空云量减少(增加),到达地表的短波辐射增加(减少),同时地表向低层大气传输的长波辐射增加(减少),在非绝热加热的作用下,我国大部分地区气温偏高(偏低)。利用NCAR Community Atmosphere Model version 5.3(CAM5.3)模式模拟了北大西洋马蹄型海温异常对初冬大气环流、辐射强迫和气温的影响,模拟结果与观测资料统计分析结果基本一致,进一步表明该海温模态能够激发出遥相关波列,影响东亚大气环流异常,通过非绝热加热的作用影响我国气温异常的年际变化。

华北平原冬小麦-夏玉米农田生态系统土壤自养和异养呼吸模型构建

土壤呼吸是陆地生态系统碳循环的重要过程,准确估算土壤呼吸对估算陆地生态系统碳源汇具有重要意义。通过在华北平原典型农田内开展土壤呼吸及其组分的原位观测实验,构建了适用于华北平原冬小麦-夏玉米轮种制农田生态系统的半经验半机理土壤异养呼吸和土壤自养呼吸模型。结果表明,冬小麦-夏玉米农田土壤异养呼吸模型可表达为土壤温度和土壤水分的函数,其中,土壤温度对土壤异养呼吸的影响适合用Arrhenius方程描述,而土壤水分的影响适合用对称的倒抛物线描述。验证表明,该模型的R^(2)和RMSE分别为0.68和0.52μmol m^(-2)s^(-1)。土壤自养呼吸模型包括维持呼吸和生长呼吸两个模块,其中,维持呼吸表达为土壤温度和叶面积指数的函数,其形式分别为Van′t Hoff指数方程和米氏方程;生长呼吸表达为总初级生产力与维持呼吸之差的线性函数。冬小麦季和夏玉米季土壤自养呼吸模型的结构相同,但是两种作物的模型参数差异较大。验证表明,冬小麦季土壤自养呼吸模型的R2和RMSE分别为0.64和0.50μmol m^(-2)s^(-1),夏玉米季土壤自养呼吸模型的R2和RMSE分别为0.67和0.37μmol m^(-2)s^(-1)。相比于不区分土壤异养呼吸和土壤自养呼吸的土壤总呼吸模型,本研究构建的土壤异养呼吸和土壤自养呼吸模型能够更加准确地模拟土壤呼吸的季节变化和年际变化过程,可为华北平原冬小麦-夏玉米轮种制农田生态系统的土壤呼吸估算提供方法依据。

基于标准化温度指数的南水北调中线工程沿线地区冷暖冬评估

选择南水北调中线工程沿线邯郸、正定、涿州为代表地区,利用1979-2021年冬季逐日气温数据,分析各代表区气温序列统计频率分布与理论概率分布的拟合情况,提出标准化温度指数(standardized temperature index,STI),并据此建立新的冬季冷暖量化评估模型。结果表明:STI方法与国标法的冬季冷暖评估结果基本一致,但在各代表区强冷冬和强暖冬划定上,STI评估得出的年份数量均少于国标法;各代表区以1月份气温计算得出的冷暖等级阈值对应的气温值均明显低于按整个冬季3个月计算结果。工程所在纬度越高,冬季冷暖等级阈值对应的气温值越低;根据STI评估结果,邯郸、正定、涿州发生强冷冬概率分别为7.14%、9.52%和4.76%,发生弱冷冬及以上的概率分别为38.09%、40.48%和38.09%,发生平冬的概率分别为21.43%、28.57%和21.43%,发生弱暖冬及以上的概率分别为40.48%、30.95%和40.48%,发生强暖冬的概率分别为4.76%、7.14%和2.38%。研究成果与基于正态分布的国标法相比,考虑了气温序列的偏态性概率分布特征,对相对冷暖的判别更科学,有推广应用价值。

冬春两湖盆地地区大气气溶胶污染的年代际变化特征及其与东亚经向风南北反相位的联系

基于MERRA-2及ERA5逐月再分析资料,本文采用EOF分析、线性回归和合成分析等方法,分析了1980~2020年长江流域中游两湖盆地地区气溶胶光学厚度(AOD)的年代际变化特征及东亚经向风南北反位相模态对其的影响。结果表明,在年代际尺度上两湖盆地地区AOD呈现非线性的变化趋势,20世纪80、90年代处于低值,21世纪初AOD持续升高,2010年后开始下降。空间场上表现为全区一致的变化特征,高值区主要位于两湖盆地中部,以洞庭湖为中心呈南北纵向分布。进一步对两湖盆地AOD年代际变化与大气环流异常关系的分析表明,在东亚经向风南北反相模的影响下,偏北风输送是影响两湖盆地AOD年代际变化的主要气象原因。在年代际尺度上,当西伯利亚高压的强度、面积增大,东亚大槽西移,西北太平洋副热带高压脊线南移时,东亚经向风南北反相模趋于正相位(即长江以北有异常偏南风、长江以南有异常偏北风)。此时,两湖盆地位于气旋性环流异常的底部,在异常的偏北风的作用下,西北地区的气溶胶向两湖盆地输送加强。且两湖盆地处于两个异常气旋性环流的中间,气压梯度小,风速偏弱,使得两湖盆地气溶胶输入大于输出,促进21世纪初AOD年代际升高。

大气环流及北大西洋海温对我国南方冬季寒潮频次异常的可能影响

利用国家气象信息中心提供的1980-2022年日最低温度站点资料、NCEP/NCAR逐月再分析资料和NOAA逐月海表温度(Sea Surface Temperature,SST)资料,采用了EOF、一元线性回归和T-N波作用通量等方法,分析了南方冬季寒潮频次的主要异常时空特征及大气环流异常和冬季大西洋海温异常(Sea Surface Temperature Anomaly,SSTA)对其影响机制。结果表明:(1)冬季寒潮频次大值区主要位于南方东部及中部地区,大致呈“逆C”型分布。寒潮频次主要有全区一致型、南北反位相型和三极型三类主要异常模态,其中全区一致型能很好反映南方寒潮频次的总体异常时空特征。(2)负位相的北大西洋涛动(North Atlantic Oscillation,NAO)、强的里海-青藏高原脊和偏东偏北的东亚大槽、北弱南强的西伯利亚高压、强的温带急流和弱的副热带急流是影响南方冬季寒潮频次的关键环流系统,冷空气堆位于西西伯利亚地区,高低层环流系统配合,使得冷空气自西西伯利亚南下到里海附近,再沿着青藏高原北侧向东输送,在青藏高原东侧南下进入南方地区,造成南方冬季寒潮频次全区一致型增加。(3)冬季北大西洋“+”“-”“+”三极型SSTA可通过海气间热通量交换激发出-NAO型环流异常及Rossby波能量异常。Rossby波能量沿南、北两条路径自北大西洋向东亚传播,并激发出相应的异常波列,增强了影响南方寒潮的南、北方关键环流系统,致南方寒潮频发。当春季北大西洋SSTA呈现逆“C”型异常,且夏、秋季有发展为+”“-”“+”三极型的态势,可预测南方寒潮频次偏多。

中国东部冬季气温变化的主要区域空间模态及其与大气环流的关系

本文利用1956—2017年我国519个站点逐日气温资料,通过旋转经验正交函数分析方法得到了近62年我国冬季气温变化主要的区域空间模态,研究了其与大气环流的关系,并进一步使用2018—2023年上述站点冬季气温资料进行验证分析。结果表明,我国冬季气温变化有两个较为稳定的区域空间模态:第一模态主要表现为南方大部分地区出现异常低温,低温极值区位于华南和东南沿海区,称之为南方型;第二模态的气温异常信号主要集中在东北地区,称之为东北型。其中,南方型模态与赤道中太平洋的海温呈显著负相关关系,与东亚冬季风的“南北反向”模态呈显著正相关。当冬季赤道中太平洋海温异常偏冷时,东亚南部地区表现为强烈的低层偏北风距平,北方则无显著偏北风距平,造成南方大部分地区出现异常低温。冬季北极涛动与东北型低温模态有显著联系,当北极涛动呈负位相时,冷高压主要集中在极区,高压东侧盛行东北风,造成东北地区冬季气温异常偏低。近6年中,2018年与2021年冬季呈东北型低温模态,其关键环流系统接近北极涛动负位相,验证了该结论。