陇中黄土高原夏季地表能量平衡观测研究

利用2003年6～8月的实际观测资料,分析了陇中黄土高原夏季地表通量特征。在春小麦下垫面,无论晴天或阴天,能量主要消耗于农田蒸散。在裸地下垫面各能量通量表现出同样的变化特征,但由于降雨量的增加,导致潜热占净辐射的比例比春小麦地的还高。在晴天或阴天地气之间能量传输引起土壤温度变化的深度,主要出现50cm以上,其日变化均呈现准正弦曲线形式,50cm以下的土壤温度不存在日变化。在半干旱区云和降水对地表辐射和能量平衡造成的影响不容忽视。波文比在日出以后逐渐增大,到正午达最大值;春小麦下垫面时的波文比大于裸地时的值,两者的极值分别是1．01和0．75。     

黄土高原典型塬区冬小麦地表辐射和能量平衡特征

利用2006年4～7月黄土高原陆气相互作用试验实际观测资料,分析了黄土高原典型塬区冬小麦生长过程中不同天气条件下的地表通量特征。发现在不同天气条件下辐射平衡和能量平衡特征有很大变化。地面向上长波辐射在晴天、阴天、降水天时依次减小,到达峰值时间约滞后总辐射峰值到达时间1 h左右。大气向下长波辐射与地表向上长波恰恰相反,晴天量值最小,基本稳定在300 W·m-2左右,阴天和降水天依次增大。潜热是能量通量的主要消耗项,在夜间也大于零,夜间感热则为负值。土壤热通量达到峰值时间滞后于净辐射峰值到达时间约1.5 h,其日平均值晴天为正,阴天约为零,降水天则为负值。日平均波文比阴天大于晴天和降水天。植被覆盖度高时,土壤植被系统截留的总辐射也高。     

藏东南地区复杂下垫面能量收支特征分析

利用公益性行业（气象）科研专项项目＂藏东南地区复杂下垫面地气交换观测研究＂在藏东南地区进行的地气交换观测实验数据,分析典型晴天和阴天条件下不同下垫面能量过程的特征及其差异。结果表明：在典型晴空状态下,不同下垫面的地表净辐射均具有明显的日变化特征,在典型阴天的情况下,不同下垫面地表净辐射日均值显著减小;在典型晴空天气下,4种类型下垫面上潜热均随着净辐射的增加而表现为增加的趋势,在典型阴天的情况下,潜热通量明显比晴空天气小;不同下垫面感热通量的日变化存在显著的差异,不同下垫面感热的变化特征在典型晴空和阴天条件下的差异不明显;不同下垫面土壤热通量与净辐射的变化趋势基本一致,阴天夜晚土壤热流的交换与晴天夜晚的差异不大,四种下垫面土壤均存在能量损失,土壤处于降温状态。     

旱作春小麦农田蒸散与能量平衡

利用蒸渗计等仪器设备的观测资料，分析了旱作春小麦农田的蒸散耗水状况。得在降水基本正常的年份，农田水分收支基本平衡，农田休闲期蒸发耗水约占期间降水的７０％。旱作小麦的实际蒸散耗水峰值期与小麦生理需水峰值期并不一定吻合。与有灌溉条件的春小麦相比，平均日蒸散量偏小。各生育期的平均叶面积系数与平均日蒸散强度存在较好的线性关系。小麦主要生育期的地表能量平衡分析表明：潜热耗能占主导地位，乳熟－黄熟生育时段以感热、潜热耗能为主的出现几率各为５０％。由于旱作春小麦株冠不能完全覆盖棵间裸地，地表向下的热量传输耗能也占有一定的比重。     

藏东南地区草地下垫面湍流通量和辐射平衡各分量的变化特征

利用2013年5月20日至7月9日藏东南林芝地区草地下垫面的野外试验站点观测资料,分析了晴雨转换过程中林芝地区草地下垫面的近地层基本气象要素、湍流通量和辐射平衡各分量的变化特征,并着重分析了各个变量之间的相互关系,对比分析它们在典型晴天和阴天条件下的差异。结果表明:(1)草地观测站的各气象要素的变化趋势相互吻合,即相对湿度与降水有着一致的变化趋势,而气温、地面温度和风速均与降水的变化相反;观测期间草地站的潜热交换大于感热交换,在无降水时期,感热明显偏高,潜热偏低,降水时期则相反;感热与向下短波辐射的变化趋势一致,同时,向上短波辐射、向上长波辐射、净辐射、地表反照率和土壤热通量均与向下短波辐射保持同步的变化关系,而向下长波辐射则呈现出相反的变化。(2)典型晴天和阴天的分析结果表明,晴天条件下各变量的日变化均比阴天条件下剧烈,在白天,感热和潜热在典型晴天的值均大于典型阴天天气下的值,除向下长波辐射外,其他地表辐射分量在晴天条件下的值远大于阴天的值;在夜间,晴天的向上长波辐射、净辐射和土壤热通量小于阴天的值。(3)相对湿度最大值出现在早晨,最低值出现在午后;风速的最小值出现在早晨,最大值出现在中午,且基本上都是晴天天气下大于阴天天气下。因此,藏东南林芝地区草地下垫面的感热、潜热、土壤热通量、辐射平衡各分量、基本气象要素均与晴、雨的转化有着非常密切的协同变化关系,这些变量之间相关系数高,吻合度好,表明了该边界层观测数据的可靠性,该观测试验数据可为数值模式在藏东南林芝地区地气交换过程的模拟提供重要的数据基础。     

南疆沙漠腹地夏季晴天与沙尘日小气候观测对比分析

利用塔克拉玛干沙漠大气环境观测试验站2006年8月13-31日近地层微气象资料以及常规地面观测资料,选取晴天与沙尘日个例,采用波文比能量平衡方法,对比分析了晴天与沙尘日沙漠腹地的小气候和地表能量平衡特征.结果表明,晴天气温、地温日变化幅度均大于沙尘日,各深度地温极值出现时间滞后于沙尘日;晴天夜间近地层存在逆温,沙尘日具有等温性;晴天夜间比湿较大,白天较小,沙尘日夜间比湿变化平缓,在沙尘暴发生时,比湿急剧增大,并有弱的逆湿现象存在;沙尘日总辐射、反射辐射、净辐射和感热通量比晴天明显偏小,向下长波辐射却大于晴天,但潜热变化差异不太明显.     

青藏高原东南部复杂地形区不同天气状况下陆气能量交换特征分析

青藏高原地理环境复杂,已有大气陆面-边界层研究工作多集中于不同下垫面,很少有对复杂地形区的研究。本文利用青藏高原东南部林芝地区2013年5月20日至7月9日四个野外试验站点的观测资料,分析了不同天气条件下,高原复杂地形区不同下垫面的陆-气能量交换特征。结果表明:在各站向下短波辐射基本一致的情况下,地形较陡的北坡阔叶林站感热通量远大于其他3个站点;下垫面植被覆盖最多的南面麦田站潜热通量最大。各站能量通量有明显的日变化特征,晴天时,感热通量和净辐射明显大于阴雨天,而潜热通量随天气状况变化不大。青藏高原复杂地形环境比不同天气条件对于感热通量的影响更显著;不同地形阴雨天时对于潜热通量有明显的影响。当南亚季风槽前的西南暖湿气流影响到林芝地区时,该地区以阴雨天为主,反之则以晴天为主。林芝地区地-气通量的月内变化明显受南亚季风活动的影响。     

敦煌地区荒漠戈壁地表热量和辐射平衡特征的研究

利用2000年5月25日～6月17日"敦煌试验"在戈壁的微气象观测资料,分析了极端干旱地区晴天、阴天和降水等天气条件下的地表辐射平衡、热量平衡和土壤温度等微气象特征的日变化规律.发现在不同天气条件微气象特征有很大变化.但观测期间的平均微气象特征与晴天比较接近,天气过程的影响不是很大,平均的总辐射、净辐射和感热通量与晴天的比值在白天基本大于0.8.观测期间的平均Bowen比全天大于1,在白天都在10以上,最大超过100.     

藏东南草地下垫面地气通量交换日变化的数值模拟

利用2013年5月21日至7月9日藏东南地区草地下垫面的边界层观测数据,分别从典型晴天和长时间平均的角度,评估了中尺度模式WRF对藏东南草地下垫面在南亚季风爆发前后的感热、潜热、地表土壤热通量和地表辐射平衡各分量日变化的模拟能力,对比分析了模拟结果与边界层观测数据的异同点。对典型晴天少云状况的个例模拟和整个时段的平均结果分析均表明,模式对感热通量和潜热通量的日变化具有较好的模拟能力,感热比潜热的模拟效果好,在夜间感热和潜热的模拟效果好,而白天感热和潜热的模拟值大于观测值。典型晴天天气下的向下短波辐射和净辐射的模拟值与观测值基本一致,而向上短波辐射的模拟值在白天大于观测值。长时间平均的向下短波辐射、向上短波辐射和净辐射的模拟值在夜间也与观测数据基本一致,但在白天模拟值比观测值明显偏大。晴天个例和长时间模拟的向下长波辐射和向上长波辐射的模拟值在日循环整个过程中较观测值均偏小。长时间模拟的地表土壤热通量在早上和晚上低于观测值,而在白天高于观测值。虽然平均的结果分析和晴天个例的结果是类似的,但由于晴天个例没有降水过程的干扰,因此晴天天气状态下的分析结果更能一致地反映出这一地区的日变化特征。     

淮河流域典型地面水热通量的观测分析

根据1998年淮河流域能量和水循环试验加密观测(HUBEX-IOP)获得的资料,用三种微气象方法计算该地区的感热通量和潜热通量状况,比较了不同方法所估算结果的异同,并以梯度法的资料为主分析了其变化特征.结果表明:(1)梯度法估算的潜热通量与用波文比-能量平衡方法的估算值比较接近,与涡度相关方法估算的值之间有一定的差异.(2)感热通量和波文比在梅雨(6月28日～7月4日)前较大,在后期较小.大部分辐射能用于地面蒸发.     

COMPARATIVE ANALYSIS OF VARIOUS DATA OF AIR–SEA TEMPERATURE DIFFERENCE AND ITS VARIATION ACROSS SOUTH CHINA SEA IN THE PAST 35 YEARS

Using the International Comprehensive Ocean-Atmosphere Data Set(ICOADS) and ERA-Interim data, spatial distributions of air-sea temperature difference(ASTD) in the South China Sea(SCS) for the past 35 years are compared,and variations of spatial and temporal distributions of ASTD in this region are addressed using empirical orthogonal function decomposition and wavelet analysis methods. The results indicate that both ICOADS and ERA-Interim data can reflect actual distribution characteristics of ASTD in the SCS, but values of ASTD from the ERA-Interim data are smaller than those of the ICOADS data in the same region. In addition, the ASTD characteristics from the ERA-Interim data are not obvious inshore. A seesaw-type, north-south distribution of ASTD is dominant in the SCS; i.e., a positive peak in the south is associated with a negative peak in the north in November, and a negative peak in the south is accompanied by a positive peak in the north during April and May. Interannual ASTD variations in summer or autumn are decreasing. There is a seesaw-type distribution of ASTD between Beibu Bay and most of the SCS in summer, and the center of large values is in the Nansha Islands area in autumn. The ASTD in the SCS has a strong quasi-3a oscillation period in all seasons, and a quasi-11 a period in winter and spring. The ASTD is positively correlated with the Nio3.4 index in summer and autumn but negatively correlated in spring and winter.     

CHARACTERISTICS AND TRENDS OF CLIMATIC EXTREMES IN CHINA DURING 1959–2014

The spatial and temporal variations of daily maximum temperature(Tmax), daily minimum temperature(Tmin), daily maximum precipitation(Pmax) and daily maximum wind speed(WSmax) were examined in China using Mann-Kendall test and linear regression method. The results indicated that for China as a whole, Tmax, Tmin and Pmax had significant increasing trends at rates of 0.15℃ per decade, 0.45℃ per decade and 0.58 mm per decade,respectively, while WSmax had decreased significantly at 1.18 m·s~(-1) per decade during 1959—2014. In all regions of China, Tmin increased and WSmax decreased significantly. Spatially, Tmax increased significantly at most of the stations in South China(SC), northwestern North China(NC), northeastern Northeast China(NEC), eastern Northwest China(NWC) and eastern Southwest China(SWC), and the increasing trends were significant in NC, SC, NWC and SWC on the regional average. Tmin increased significantly at most of the stations in China, with notable increase in NEC, northern and southeastern NC and northwestern and eastern NWC. Pmax showed no significant trend at most of the stations in China, and on the regional average it decreased significantly in NC but increased in SC, NWC and the mid-lower Yangtze River valley(YR). WSmax decreased significantly at the vast majority of stations in China, with remarkable decrease in northern NC, northern and central YR, central and southern SC and in parts of central NEC and western NWC. With global climate change and rapidly economic development, China has become more vulnerable to climatic extremes and meteorological disasters, so more strategies of mitigation and/or adaptation of climatic extremes,such as environmentally-friendly and low-cost energy production systems and the enhancement of engineering defense measures are necessary for government and social publics.     

IMPACT OF ATMOSPHERIC LOW-FREQUENCY OSCILLATION ON THE IMMIGRATION OF NILAPARVATA LUGENS(STL) IN HUNAN AND JIANGXI PROVINCES

Various features of the atmospheric environment affect the number of migratory insects, besides their initial population. However, little is known about the impact of atmospheric low-frequency oscillation(10 to 90 days) on insect migration. A case study was conducted to ascertain the influence of low-frequency atmospheric oscillation on the immigration of brown planthopper, Nilaparvata lugens(Stl), in Hunan and Jiangxi provinces. The results showed the following:(1) The number of immigrating N. lugens from April to June of 2007 through 2016 mainly exhibited a periodic oscillation of 10 to 20 days.(2) The 10-20 d low-frequency number of immigrating N. lugens was significantly correlated with a low-frequency wind field and a geopotential height field at 850 h Pa.(3) During the peak phase of immigration, southwest or south winds served as a driving force and carried N. lugens populations northward, and when in the back of the trough and the front of the ridge, the downward airflow created a favorable condition for N. lugens to land in the study area. In conclusion, the northward migration of N. lugens was influenced by a low-frequency atmospheric circulation based on the analysis of dynamics. This study was the first research connecting atmospheric low-frequency oscillation to insect migration.     

A COMPARATIVE ANALYSIS OF ATMOSPHERIC AND OCEANIC CONDITIONS BEFORE THE OCCURRENCE OF TWO TYPES OF EL NIO EVENTS

The atmospheric and oceanic conditions before the onset of EP El Ni?o and CP El Ni?o in nearly 30 years are compared and analyzed by using 850 hPa wind, 20℃ isotherm depth, sea surface temperature and the Wheeler and Hendon index. The results are as follows: In the western equatorial Pacific, the occurrence of the anomalously strong westerly winds of the EP El Ni?o is earlier than that of the CP El Ni?o. Its intensity is far stronger than that of the CP El Ni?o. Two months before the El Ni?o, the anomaly westerly winds of the EP El Ni?o have extended to the eastern Pacific region, while the westerly wind anomaly of the CP El Ni?o can only extend to the west of the dateline three months before the El Ni?o and later stay there. Unlike the EP El Ni?o, the CP El Ni?o is always associated with easterly wind anomaly in the eastern equatorial Pacific before its onset. The thermocline depth anomaly of the EP El Ni?o can significantly move eastward and deepen. In addition, we also find that the evolution of thermocline is ahead of the development of the sea surface temperature for the EP El Ni?o. The strong MJO activity of the EP El Ni?o in the western and central Pacific is earlier than that of the CP El Ni?o. Measured by the standard deviation of the zonal wind square, the intensity of MJO activity of the EP El Ni?o is significantly greater than that of the CP El Ni?o before the onset of El Ni?o.     

ANALYSIS OF “BIMODAL PATTERN” STORM ACTIVITY CHARACTERISTICS OF THE BAY OF BENGAL

Storms that occur at the Bay of Bengal (BoB) are of a bimodal pattern, which is different from that of the other sea areas. By using the NCEP, SST and JTWC data, the causes of the bimodal pattern storm activity of the BoB are diagnosed and analyzed in this paper. The result shows that the seasonal variation of general atmosphere circulation in East Asia has a regulating and controlling impact on the BoB storm activity, and the “bimodal period” of the storm activity corresponds exactly to the seasonal conversion period of atmospheric circulation. The minor wind speed of shear spring and autumn contributed to the storm, which was a crucial factor for the generation and occurrence of the “bimodal pattern” storm activity in the BoB. The analysis on sea surface temperature (SST) shows that the SSTs of all the year around in the BoB area meet the conditions required for the generation of tropical cyclones (TCs). However, the SSTs in the central area of the bay are higher than that of the surrounding areas in spring and autumn, which facilitates the occurrence of a “two-peak” storm activity pattern. The genesis potential index (GPI) quantifies and reflects the environmental conditions for the generation of the BoB storms. For GPI, the intense low-level vortex disturbance in the troposphere and high-humidity atmosphere are the sufficient conditions for storms, while large maximum wind velocity of the ground vortex radius and small vertical wind shear are the necessary conditions of storms.     

LOW-FREQUENCY CIRCULATION AND EXTENDED-RANGE FORECAST IN CONNECTION WITH AUTUMN EXTREME HEAVY RAINFALL PROCESS IN HAINAN

Observed daily precipitation data from the National Meteorological Observatory in Hainan province and daily data from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis-2 dataset from 1981 to 2014 are used to analyze the relationship between Hainan extreme heavy rainfall processes in autumn (referred to as EHRPs) and 10–30 d low-frequency circulation. Based on the key low-frequency signals and the NCEP Climate Forecast System Version 2 (CFSv2) model forecasting products, a dynamical-statistical method is established for the extended-range forecast of EHRPs. The results suggest that EHRPs have a close relationship with the 10–30 d low-frequency oscillation of 850 hPa zonal wind over Hainan Island and to its north, and that they basically occur during the trough phase of the low-frequency oscillation of zonal wind. The latitudinal propagation of the low-frequency wave train in the middle-high latitudes and the meridional propagation of the low-frequency wave train along the coast of East Asia contribute to the ‘north high (cold), south low (warm)’ pattern near Hainan Island, which results in the zonal wind over Hainan Island and to its north reaching its trough, consequently leading to EHRPs. Considering the link between low-frequency circulation and EHRPs, a low-frequency wave train index (LWTI) is defined and adopted to forecast EHRPs by using NCEP CFSv2 forecasting products. EHRPs are predicted to occur during peak phases of LWTI with value larger than 1 for three or more consecutive forecast days. Hindcast experiments for EHRPs in 2015–2016 indicate that EHRPs can be predicted 8–24 d in advance, with an average period of validity of 16.7 d.     

AN ATTRIBUTION ANALYSIS OF CHANGES IN POTENTIAL EVAPOTRANSPIRATION IN THE BEIJING–TIANJIN–HEBEI REGION UNDER CLIMATE CHANGE

Based on the measurements obtained at 64 national meteorological stations in the Beijing–Tianjin–Hebei (BTH) region between 1970 and 2013, the potential evapotranspiration (ET0) in this region was estimated using the Penman–Monteith equation and its sensitivity to maximum temperature (Tmax), minimum temperature (Tmin), wind speed (Vw), net radiation (Rn) and water vapor pressure (Pwv) was analyzed, respectively. The results are shown as follows. (1) The climatic elements in the BTH region underwent significant changes in the study period. Vw and Rn decreased significantly, whereas Tmin, Tmax and Pwv increased considerably. (2) In the BTH region, ET0 also exhibited a significant decreasing trend, and the sensitivity of ET0 to the climatic elements exhibited seasonal characteristics. Of all the climatic elements, ET0 was most sensitive to Pwv in the fall and winter and Rn in the spring and summer. On the annual scale, ET0 was most sensitive to Pwv, followed by Rn, Vw, Tmax and Tmin. In addition, the sensitivity coefficient of ET0 with respect to Pwv had a negative value for all the areas, indicating that increases in Pwv can prevent ET0 from increasing. (3) The sensitivity of ET0 to Tmin and Tmax was significantly lower than its sensitivity to other climatic elements. However, increases in temperature can lead to changes in Pwv and Rn. The temperature should be considered the key intrinsic climatic element that has caused the "evaporation paradox" phenomenon in the BTH region.     

Could the Recent Taal Volcano Eruption Trigger an El Ni?o and Lead to Eurasian Warming?

正The Taal Volcano in Luzon is one of the most active and dangerous volcanoes of the Philippines. A recent eruption occurred on 12 January 2020(Fig. 1a), and this volcano is still active with the occurrence of volcanic earthquakes. The eruption has become a deep concern worldwide, not only for its damage on local society, but also for potential hazardous consequences on the Earth's climate and environment.     

Revisiting the Concentration Observations and Source Apportionment of Atmospheric Ammonia

正While China’s Air Pollution Prevention and Control Action Plan on particulate matter since 2013 has reduced sulfate significantly, aerosol ammonium nitrate remains high in East China. As the high nitrate abundances are strongly linked with ammonia, reducing ammonia emissions is becoming increasingly important to improve the air quality of China. Although satellite data provide evidence of substantial increases in atmospheric ammonia concentrations over major agricultural regions, long-term surface observation of ammonia concentrations are sparse. In addition, there is still no consensus on