Difference in the Interdecadal Variability of Spring and Summer Sensible Heat Flux over Northwest China

The present study investigates the difference in interdecadal variability of the spring and summer sensible heat fluxes over Northwest China by using station observations from 1960 to 2000. It was found that the spring sensible heat flux over Northwest China was greater during the period from the late 1970s to the 1990s than during the period from the 1960s to the mid-1970s. The summer sensible heat flux was smaller in the late 1980s through the 1990s than it was in the 1970s through the early 1980s. Both the spring and summer land-air temperature differences over Northwest China displayed an obvious interdecadal increase in the late 1970s. Both the spring and summer surface wind speeds experienced an obvious interdecadal weakening in the late 1970s. The change in the surface wind speed played a more important role in the interdecadal variations in sensible heat flux during the summer, whereas the change in the land-air temperature difference was more important for the interdecadal variations in sensible heat flux in the spring. This difference was related to seasonal changes in the mean land-air temperature difference and the surface wind speed. Further analysis indicated that the increase in the spring land surface temperature in Northwest China was related to an increase in surface net radiation.     

Regional differences in surface sensible and latent heat fluxes in China

This study documents the variability of surface sensible and latent heat fluxes in five regions of China (Northwest China, the Tibetan Plateau, Northeast China, North China, and Southeast China) using the ERA-40 reanalysis for the years 1960–2000. The surface sensible and latent heat flux variations are remarkably different in Northwest and Southeast China. The seasonal variation of the surface sensible heat fluxes is largest in Northwest China and smallest in Southeast China. In contrast, the seasonal variation in latent heat flux is largest in Southeast China and smallest in Northwest China. The interdecadal variation of surface sensible and surface latent heat fluxes strongly depends on both the region and season. The trends in surface sensible and latent heat fluxes in all four seasons are mainly caused by variations in both the land–air temperature difference and in the specific humidity. There is also a limited contribution of wind speed in some regions, depending on the season.     

Variability of Surface Sensible Heat Flux over Northwest China

The present study documents the variability of surface sensible heat flux over Northwest China using station observations for the period 1961 2000.It is found that the afternoon and nighttime sensible heat flux variations are remarkably different.The variability of the instant flux in the afternoon is much larger than in the nighttime.The afternoon and nighttime flux anomalies tend to be opposite.The diurnal and seasonal dependence of sensible heat flux variations is closely related to the diurnal cycle of mean land-air temperature difference.The relationship of sensible heat flux with land-air temperature difference based on the instant value differs from that based on the daily mean.The present study indicates the importance for the models to properly simulate mean land-air temperature difference and its diurnal and seasonal variations in order to capture surface sensible heat flux variability over Northwest China and predicts its plausible impacts on climate.     

Validation of ECMWF and NCEP–NCAR Reanalysis Data in Antarctica

The European Center for Medium-Range Weather Forecast (ECMWF) Re-Analysis (ERA-40) and the National Centers for Environmental Prediction-National Center for Atmospheric Research (NCEP-NCAR) ECMWF (ERA-40) and NCEP-NCAR reanalysis data were compared with Antarctic station observations, including surface-layer and upper-layer atmospheric observations, on intraseasonal and interannual timescales. At the interannual timescale, atmospheric pressure at different height levels in the ERA-40 data are in better agre...     

卫星遥感结合气象资料计算的西北干旱区地面感热特征分析

选取1981年7月-2006年12月美国国家海洋和大气局(NOAA)系列卫星观测的归一化植被指数(NDVI)资料和Ch-INDV参数化关系式,计算了我国西北干旱区84个测站历年各月的地表热力输送系数Ch值和地面感热通量序列,得到如下主要结论:(1)西北干旱区地面感热通量实际计算值与ERA-40再分析感热资料相比,两者在数值大小、分布形势和年际变化趋势上均较一致,感热实际计算值的空间分布更明显地突出了各气象站所在区域的局地特征。(2)西北干旱区地面感热输送呈单峰型年变化特征,春、夏季非常强,秋、冬季较弱;大部分区域全年均为正值,地表为感热源。(3)以97.5°E为界,西北干旱区东、西部具有不同的年际变化趋势,东部的地面感热四季均有逐年增加的趋势,而西部秋、冬季逐年略有增加,春、夏季逐年减弱明显,气候倾向率分别为-1.15 W.m-2.(10a)-1和-2.08W.m-2.(10a)-1。(4)西北干旱区地面感热输送具有明显的年代际变化特征,1980年代总体偏强,1990年代总体偏弱,2000年以来,西北地区中部的感热输送偏弱,东、西部除个别测站外均偏强。(5)西北干旱区的感热变化并不只由地气温差的变化来决定,它与地面风速和地表状况的变化也有较强的依赖关系。在冬季,主要响应地气温差的变化,春季地面风速和地气温差的影响作用同等重要,夏季以地面风速的影响为主,地气温差的影响次之,秋季与夏季相反。另外,夏季地表状况对感热的影响作用也不容忽视。     

几种再分析地表气压资料在中国区域的适用性评估

应用台站观测资料对ERA-40, NCEP/NCAR以及NCEP/DOE再分析地表气压产品在中国不同区域、不同年代和不同季节的适用性进行了评估。分析发现, 几种再分析产品虽然能在一定程度上反映出观测资料所具有的时空分布特征, 但它们之间的差异却具有明显的区域和季节变化特征, 即冬季小而夏季大、东部地区小而西部地区大; 同时还发现ERA-40和NCEP/NCAR再分析产品在20世纪70年代以前均与观测资料有相对较大的差别, 特别是NCEP/NCAR在70年代以前的夏季气压值过于偏低, 从而夸大了很多地区的年代际变化特征。相比而言, ERA-40地表气压的长期变化趋势以及时空演变规律在中国大多数地区要优于NCEP/NCAR再分析产品, 特别是在中国西部地区。分析还表明, NCEP/DOE虽与观测资料存在一定的系统性偏差, 却与另外两种再分析产品有着较为相似的年际变化特征及趋势。     

SPATIO-TEMPORAL VARIATION OF SENSIBLE HEAT FLUX OVER SOUTHERN CHINA

The spatio-temporal variation of surface sensible heat flux (SHF) in southern China (SC) is studied based on the data evaluated from conventional observational meteorological data. There exist prominent increasing trends in all seasonal surface sensible heat fluxes in the western SC and decreasing trends in the central-eastern part of southern China. The variations of surface sensible heat flux in all seasons are dominant on interannual time-scales. The land-air temperature difference and the near-surface wind speed are two key factors for the interannual variations of SHF, but the former is more important. The first two major anomalous patterns of SHF are presented as the region-wide in-phase anomalies and the east-west dipole anomalies, respectively, based on the EOF analysis results.     

欧亚大陆干旱半干旱区感热通量的时空变化特征

利用1958—2002年ERA-40再分析感热通量资料进行EOF分析,结果显示,无论春季还是夏季,欧亚大陆干旱半干旱区感热通量都有3个主模态。第1模态都表示空间分布的一致性,20世纪70年代中后期开始,欧亚大陆干旱半干旱区春季感热通量明显增强,而夏季却明显减弱。第2、3模态表示了空间分布的不一致性,且存在年际、年代际变化特征。小波分析结果表明,欧亚大陆春、夏季感热通量存在明显的年际、年代际变化特征,且年代际变化信号强于年际变化信号。     

比较NCEP/NCAR和ERA-40再分析资料与观测资料计算得到的感热资料的差异

利用1951～2000年我国西北干旱、半干旱区地温、气温和表面风场逐日4个时次（北京时间2、8、14和20时）的台站观测资料,以及NCEP/NCAR和ERA-40再分析资料,计算并比较了在我国西北地区春夏季感热输送的差异。分析结果表明:NCEP/NCAR和ERA-40的感热输送再分析资料都能显示出我国西北地区是欧亚大陆上的感热中心之一。从年代际时间尺度上,ERA-40再分析资料的感热资料更接近于实际台站观测资料计算得到的感热资料。       

Evaluation of the twentieth century reanalysis dataset in describing East Asian winter monsoon variability

The Twentieth Century Reanalysis （20thCR） dataset released in 2010 covers the period 1871-2010 and is one of the longest reanalysis datasets available worldwide. Using ERA-40, ERA-Interim and NCEP-NCAR reanalysis data, as well as HadSLP2 data and meteorological temperature records over eastern China, the performances of 20thCR in reproducing the spatial patterns and temporal variability of the East Asian winter monsoon （EAWM） are examined. Results indicate that 20thCR data： （1） can accurately reproduce the most typical configuration patterns of all sub-factors differences in the main circulation fields over East Asia involved in the EAWM system, albeit with some in comparison to ERA-40 reanalysis data; （2） is reliable and stable in describing the temporal variability of EAWM since the 1930s; and （3） can describe the high-frequency variability of EAWM better than the low-frequency fluctuations, especially in the early period. In conclusion, caution should be taken when using 20thCR data to study interdecadal variabilities or long-term trends of the EAWM, especially prior to the 1930s.     

中国西北干旱、 半干旱区感热的年代际变化特征及其与中国夏季降水的关系

利用1951～2000年我国西北干旱、 半干旱区地温、 气温和表面风场逐日4个时次 (02、 08、 14和20时) 的台站观测资料, 计算并分析了我国西北干旱、 半干旱区春、 夏季感热的年代际变化特征。分析结果表明: 中国西北干旱、 半干旱区春、 夏季感热输送出现相反的年代际变化特征, 春季感热从20世纪70年代中期开始增强, 而夏季感热却减弱了。并且还分析了中国西北干旱、 半干旱区4月感热与中国夏季降水的相关关系, 其结果表明了中国西北干旱、 半干旱区的春季感热输送与中国夏季降水有很好的相关关系, 其中正相关区分别位于东北地区和长江中下游地区, 而负相关区分别位于华北地区和西南地区。作者还利用欧洲中心 (ECMWF) 1958～2000年再分析资料分析水平和垂直环流的年代际变化特征, 在1977～2000年期间, 中国西北地区春季感热增强, 使此地区上升气流增强, 华北地区上空下沉气流增强, 不利于华北地区夏季降水偏多, 并出现持续性干旱, 而长江流域的上升气流增强有利于长江中下游地区夏季降水增多, 出现洪涝。因此, 西北地区春季感热异常可以作为我国夏季降水的一个预报因子。     

青藏高原及周边地区近地层小气候特征分析

利用中国气象局成都高原气象研究所建立的5个边界层站（湄潭、巴中、什邡、曲麻莱、狮泉河）2019年的观测资料，对比分析青藏高原及周边地区近地层大气要素变化和陆—气能量交换特征及异同点，探讨其原因。结果表明：（1）青藏高原及周边地区近地层大气温度、相对湿度、风速、感热通量、潜热通量、动量通量均符合一峰一谷的常规日变化特征，气压具有双峰双谷的日变化特征。（2）高海拔台站近地层温度日变幅（12℃）高于周边低海拔地区（4～6℃），季变幅与海拔高度的关系不显著。（3）相对湿度与温度关系密切，相对湿度的垂直结构和日变化都具有明显的区域差异，其垂直梯度夜间显著高于白天，峰值出现时间随夏、秋、春、冬季呈现季节性滞后，而谷值超前。（4）风速春季较大，夏、秋季次之，冬季小，季变幅略小于日变幅；低海拔区域的风速及其日变幅均显著低于高海拔区域。（5）低海拔区域气压季变幅（>13 hPa）远高于日变幅（2.5 hPa左右），而高海拔区域气压季变幅（>3 hPa）略低于日变幅（2 hPa左右）。（6）感热通量春季大、冬季小；感热通量和动量通量在高海拔区域均较高，二者具有较一致的日、季变化特征，表明大气动...     

祁连山老虎沟12号冰川近地层微气象特征分析

利用2009年9月1日-2010年8月31日祁连山老虎沟12号冰川海拔4 550m气象观测资料,分析并讨论了气温、降水、比湿、气压、风速、风向、总辐射、感热和潜热通量的变化特征。结果表明,在冰川下垫面影响下,气温的逐时变化呈现出升温比降温要快,但季节变化则相反,气温变化的位相比风速要超前;降水主要集中在5～9月,占全年降水的68.1%;冬季平均风速最大,夏季最小,春季高于秋季,春、秋季冰川风的强度要大于谷风,夏季则相反,冬季冰川风占绝对主导地位,且冰川风对地气间的能量交换有重要影响;全年感热通量日平均值大部分都为正值,而潜热通量基本都为负值,在气温较高、风速较大的情况下二者均有明显的增加;夏季感热和潜热通量的绝对值都比冬季要大。     

青藏高原不同地区湍流输送特征及其与气象因子的关系

利用第三次青藏高原大气科学观测试验数据,对高原不同地区感热、潜热交换等湍流输送特征进行了分析,并进一步对比研究了其与气象环境因子的相关关系。结果表明:（1）高原各站之间感热和潜热的差异性较大,但大多在雨季潜热会大于感热。干燥的狮泉河站属于高寒荒漠地区,降水极少,全年感热都远大于潜热,波文比年平均值可达到20.0;湿润的比如站和嘉黎站潜热在4～10月均显著大于感热,波文比在4～10月的数值范围在0.27～0.88。（2）高原感热和潜热通量的季节变化与高原季风所处的地理位置有密切关系,高原中部的感热通量在3～5月达到最大值,而高原西部则在4～6月最大,可能与高原季风的活动有关。（3）通过与气象要素的相关分析表明,高原西部狮泉河站感热与地气温差的正相关关系最为显著,全年的相关系数可以达到0.905,在4个季节相关系数也均大于0.79,这可能与下垫面是裸地有关;高原中部安多站和那曲站感热与风速的正相关在夏季最为显著,比如站感热与风速的正相关在冬季最为明显,而狮泉河站感热与风速在春、夏季均有着十分显著的正相关。     

青藏高原地区NCEP新再分析地面通量资料的检验

利用1979—1998年地面气象站温度观测资料和1982年8月-1983年7月高原热源观测资料,检验了NCEP／DOE新再分析地面气温和地面辐射收支在青藏高原地区的偏差。比较表明,气温和地面辐射量新再分析值能反映实际年变化特征,但其温度值系统性偏低,偏低幅度随地区和季节而变化。由于其气温和地表温度偏低造成地表长波辐射和大气逆辐射系统性偏低;冬季积雪地区的地表吸收太阳辐射和净辐射新再分析值偏小;地面净长波、净短波和总的净辐射与实测的偏差比较小。分析发现,同化模式地形高度与地面气象站海拔高度的差异是造成气温新再分析与实测偏差的主要原因,冬季积雪区地表反照率新再分析值偏大是造成冬季地面净辐射偏小的因素,并加剧了冬季气温新再分析的偏差。其研究对改进气候模拟结果分析有一定的启发。     

Intercomparison of the South Asian High in NCEP1, NCEP2, and ERA-40 Reanalyses and in Station Observations

The South Asian Highs (SAHs) at 100 hPa over China in the three reanalysis datasets NCEP1, NCEP2, and ERA-40 are evaluated by using station observation data. The results demonstrate a substantial discrepancy even between the reanalyses. First, the data of the three reanalyses generally underestimate the intensity of the SAH in the China domain. Second, there are interdecadal changes in the SAH, with highs in the 1960s and 1980s and lows in the 1970s, 1990s, and 2000s. This interdecadal variation of the SAH can be well depicted with NCEP1 data, but the high in the 1980s is missed by ERA-40. The NCEP2 corresponds well with NCEP 1 and captures the decreasing trend after 1979. Furthermore, the NCEP1 reanalysis overestimates the interdecadal changes of SAH, while ERA-40 underestimates the interdecadal changes. This work suggests that much caution should be exerted when the reanalysis datasets are adopted to study the interdecadal variability of SAH.     

Different data,different general circulations? A comparison of selected fields in NCEP/DOE AMIP-II and ECMWF ERA-40 reanalyses

Reanalysis datasets have been very popular for understanding the general circulation as well as verifying general circulation models. The most recent versions of global reanalysis datasets prepared by ECMWF (“ERA-40”) and NCEP (“NDRa2”) are examined in this article. The NDRa2 data are regridded to the resolution (2.5° × 2.5° longitude and latitude) of the ERA-40 public data. Primary variables that both relate to the atmosphere's general circulation and are readily available are compared and contrasted. Significant differences are found in the primary circulation variables and energetics. The zonal mean Hadley cells are stronger in ERA-40, but differences in temperature and moisture make the poleward heat transport by the cells more similar in the two datasets. The subtropical and polar night jet streams are stronger in ERA-40 data as is kinetic energy. The surface energy budgets differ in that ERA-40 data have greater sensible heat flux into the air, while NDRa2 data have greater latent heat flux. The result is NDRa2 has more moisture in the subtropics; ERA-40 data have more moisture in the tropics. Geographically, the two datasets have notable differences in their treatment of the intertropical convergence zone (ICZ). The ICZ over the Atlantic and eastern Pacific is narrower and stronger in ERA-40 data. The ICZ over the western Pacific and Indian oceans is generally stronger in NDRa2 data, one consequence is a stronger tropical easterly jet in NDRa2 data over the Indian Ocean in JJA. Both datasets have a double ICZ in the western half of the Pacific in DJF; in JJA ERA-40 retains that double ICZ but NDRa2 largely does not. Beyond the handling of the ICZ, the datasets differ in tropical zonal mean zonal wind, ERA-40 data in DJF has zonal mean upper troposphere tropical westerlies where NDRa2 data have easterlies; this difference may imply a different amount of interhemispheric communication. The datasets also have strong disagreements in regions of large-scale higher topography.     

Can Current AGCMs Reproduce Historical Changes in the Atmospheric Diabatic Heating over the Tibetan Plateau?

Recent studies have demonstrated a persistent decreasing trend in the spring sensible heat（SH） source over the Tibetan Plateau（TP） during the past three decades. By comparing simulations from nine state-of-the-art atmospheric general circulation models（AGCMs） driven by historical forcing fields with both observational data and five reanalysis datasets, the authors found that the AGCMs are unable to reproduce the change in the SH flux over the TP. This deficiency arises because the observed decreasing trend in SH flux depends primarily on the change in surface wind speed according to the bulk formula, whereas in the models it is also influenced largely by changes in the land-air temperature difference related to the systematic cold bias. In addition, an obvious discrepancy exists in other aspects of the diabatic heating simulated by the models, suggesting that a significant improvement is required in the physical schemes associated with land surface processes and diabatic heating over the complicated topography.     

INTERDECADAL VARIATION OF THE INTENSITY OF SOUTH ASIAN HIGH

The characteristics and possible physical mechanism of interdecadal variation of the intensity of the South Asian High (SAH) in summer are analyzed using the NCEP/NCAR reanalysis data and NOAA extended reconstructed sea surface temperature (SST) data. The results indicate that a remarkable interdecadal transition occurred in the late 1970s that increased the intensity of SAH, or, an abrupt climate change was around 1978. A comparative analysis between the weak and strong period of the SAH intensity shows that the related anomalous patterns of the atmospheric circulation (including wind field, air temperature field and vertical velocity field) are nearly opposite to each other. The surface latent heat flux anomalies over the plateau (especially in the northwest of the plateau) in summer exert great influence on the interdecadal variation of the SAH intensity and the surface sensible heat flux anomalies play a more important role. Consistent with the interdecadal variation of the SAH intensity, the monopole mode of the tropical Indian Ocean SST in summer also experienced a low to high transition in the late 1970s. To some extent, this can reveal the impact of the anomalous monopole mode of the tropical Indian Ocean SST in summer on interdecadal variation of the SAH.     

A DIAGNOSTIC ANALYSIS OF THE RELATIONSHIP BETWEEN THE FLUXES AND METEOROLOGICAL ELEMENTS OVER TROPICAL WESTERN PACIFIC

Through the use of the hourly wind, air temperature and humidity, sea surface temperature data measured on board the observing vessel Moana Wave and buoy in the warm pool of western Pacific during the IOP of TOGA COARE, we compute the fluxes over sea surface and analyze the characteristics of the variation ofthe latent heat flux with sea surface temperature. During weak rather than strong wind periods a maximum valueof latent heat flux appears at some points of SST, which is caused mainly by the variations of wind, then by the humidity difference between air and sea and the transfer coefficient with SAT. Using correlation analysis. we also analyze the relationship between the fluxes and meteorological elements during weak wind periods. wester lywind burst periods, and convective disturbed periods etc. The main conclusions are that the latent heat flux ismainly determined by wind, sensible heat flux by the potential temperature difference between air and sea and the momentum flux by wind. The precipitation affects the sensible heat flux through the potential temperature difference and wind.