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1.
2019年中国气候主要特征及主要天气气候事件   总被引:3,自引:0,他引:3  
2019年我国气候总体呈现暖湿特征。全国年平均气温较常年同期偏高0.79℃,为1951年以来连续第五暖年,四季气温均偏高,春、秋季明显偏暖;年降水量为645.5 mm,较常年同期偏多2.5%,冬、春、夏季降水偏多,秋季偏少。华南前汛期开始早、结束晚,为1961年以来最长前汛期,雨量为1961年以来次多;西南雨季开始和结束均偏晚,雨量偏少;入梅晚、出梅早,梅雨量偏少;华北雨季开始晚,结束与常年一致,雨量偏少;东北雨季开始早、结束晚,雨量偏多;华西秋雨开始早、结束晚,雨量偏多。2019年,台风生成多,登陆强度总体偏弱,仅台风利奇马灾损重;暴雨洪涝、干旱、强对流、低温冷冻害和雪灾、沙尘暴等气象灾害均偏轻。  相似文献   

2.
2017年中国气候主要特征及主要天气气候事件   总被引:1,自引:0,他引:1  
2017年,我国气候属于正常年景,气候灾害偏轻。全国平均气温10.39℃,较常年偏高0.84℃,7和9月为1951年以来同期最高,全国有113站日最高气温突破历史极值。全国平均降水量641.3 mm,比常年偏多1.8%。全国降水冬季偏少,夏季偏多,春、秋季接近常年。全国31站日降水量突破历史极值,其中多站出现在暴雨少发地区;47站连续降水量突破历史极值。华南前汛期和西南雨季雨量分别偏少9%、4%;梅雨季雨量偏多6%,但较2015和2016年明显偏少;华北雨季偏短10 d,雨量偏少28%;华西秋雨雨量偏多49%,为1984年来最多;东北雨季短,雨量偏少14%。暴雨过程频繁、重叠度高、极端性强,暴雨洪涝损失偏重;登陆台风多、时间集中,登陆点重叠;高温日数多,北方高温出现早、南方高温强度大。其他灾害如干旱、低温冷冻、雪灾、春季沙尘和霾天气影响偏轻。  相似文献   

3.
2014年中国气候概况   总被引:6,自引:4,他引:2  
2014年,全国平均气温较常年偏高0.5℃,与1999年并列为1961年以来第六暖年;四季气温均偏高。全国平均降水量636.2 mm,接近常年,比2013年偏少3%;降水时空分布不均,辽宁、北京和河北偏少明显,冬、春、夏三季降水量均接近常年同期,秋季偏多。华南前汛期开始早、雨量多;西南雨季开始晚、结束早、雨量少;梅雨区降水量南多北少,江淮出现空梅;华北雨季不明显,出现空汛;华西秋雨开始早、结束晚、雨量多。夏季副热带高压脊线位置偏南,南海夏季风爆发晚,东亚夏季风强度略偏弱。2014年,我国气候属正常年景,极端天气气候事件少于2013年,暴雨洪涝、干旱等灾害偏轻,因灾造成死亡人数和受灾面积明显偏少,气象灾害属于偏轻年份。  相似文献   

4.
2021年,我国暖湿气候特征明显,全国年平均气温为1951年以来最高,四季气温皆偏高;全国平均年降水量偏多,冬季偏少、春夏秋三季偏多。华南前汛期、西南雨季和梅雨季表现为开始晚、结束早、降水量少的特征,华北雨季、东北雨季和华西秋雨呈现开始早、结束晚、降水量多的特征,华西秋雨降水量为1961年以来最多。2021年,我国涝重于旱。汛期暴雨过程强度大、极端性显著,河南特大暴雨影响重,秋季北方多雨,暴雨洪涝造成的直接经济和人员损失偏重;干旱呈阶段性和区域性特点,影响总体偏轻;台风、风雹、低温冷冻害和雪灾等气象灾害损失均偏轻。  相似文献   

5.
2018年中国气候主要特征及主要天气气候事件   总被引:2,自引:0,他引:2       下载免费PDF全文
2018年,我国气候属于正常年景,气候灾害偏轻。全国平均气温为10.09℃,较常年偏高0.54℃,春、夏季气温创历史新高,秋、冬季气温接近常年。全国平均降水量为673.8 mm,较常年偏多7.0%。全国降水夏、秋季偏多,冬季偏少,春季接近常年同期。华南前汛期开始晚,结束早,雨量少;西南雨季开始和结束均接近常年,雨量多;入梅晚、出梅早,梅雨量少;华北雨季开始和结束均早,雨量多;华西秋雨开始和结束均晚,雨量少;东北雨季开始和结束均接近常年,雨量少。2018年,生成和登陆台风多、登陆位置偏北、灾损严重。低温冷冻害及雪灾频发,损失偏重。其他气象灾害,如暴雨洪涝、干旱、强对流、沙尘暴影响均偏轻。  相似文献   

6.
《气象》2021,(4)
2020年,我国全年气候总体表现为暖湿特征。全国平均气温比常年偏高0.7℃,为1951年以来第八高,四季气温均偏高,冬春偏暖显著。全国平均降水量为694.8 mm,比常年偏多10.3%,春季降水偏少,冬、夏、秋三季均偏多。华南前汛期开始和结束均偏早,降水量偏少;西南雨季开始晚、结束早,降水量偏多;梅雨季入梅早、出梅晚,梅雨量偏多,梅雨持续时间和梅雨量均为1961年以来之最;华北雨季、东北雨季和华西秋雨开始和结束均偏晚,降水量偏多。2020年,登陆台风偏少,影响时段和地域集中,灾损偏轻。暴雨洪涝灾害偏重,其他气象灾害,如干旱、强对流、低温冷冻害和雪灾、沙尘暴影响均偏轻。  相似文献   

7.
2013年中国气候概况   总被引:6,自引:2,他引:4       下载免费PDF全文
2013年,全国平均降水量653.5 mm,较常年偏多4%,比2012年略偏少;冬季降水偏少,春、夏、秋三季偏多。全国平均气温较常年偏高0.6℃,为1961年以来第四暖年,较2012年偏高0.8℃;冬季气温偏低,春、夏、秋三季偏高。2013年,东亚冬季风偏强;夏季西北太平洋副热带高压强度明显偏弱;南海夏季风爆发早,结束晚,强度弱。2013年,华南前汛期开始早、结束晚、雨量多;长江中下游入梅晚、出梅早、雨量少;华北雨季早、雨量多;华西秋雨开始早、结束晚、雨量多;西南雨季开始早、结束晚、雨量少。2013年,我国暴雨、台风和高温热浪等气象灾害比较突出,局部地区灾情重。总体来看,2013年气象灾害为中等年份,直接经济损失偏重,死亡失踪人数和受灾面积均偏少。  相似文献   

8.
综述:气温偏高,降水偏多2020年,我国气温偏高,降水偏多。全国平均气温10.25℃,较常年偏高0.7℃(图1)o全国六大区域气温均较常年偏高,其中华南偏高0.7℃,为1961年以来历史第三高;四季气温均偏高,冬、春明显偏暖。全国平均降水量694.8毫米,较常年偏多10.3%,为1951年以来第四多(图2)。中东部大部降水偏多、西北地区℃中西部偏少(图3)。冬、夏、秋季降水偏多,春季偏少。  相似文献   

9.
2002年我国天气气候特点   总被引:4,自引:0,他引:4       下载免费PDF全文
陆均天 《气象》2003,29(4):32-36
2002年我国主要天气气候特点为:全国降水量偏多,但时空分布不均,北方地区早春和伏秋少雨,受旱范围广,华南沿海地区别冬春夏初少雨连旱;汛期内无大范围或持续的强降水过程发生,但长江中下游一带春汛明显,北方雨季偏早,南方部分地区暴雨洪涝及局地山洪、泥石流、滑坡等灾害较重。全国大部地区气温偏高,但起伏变化较大。沙尘天气时段集中,影响范围广,强度偏强。登陆我国的台风(包括热带风暴)个数接近常年;冰雹、龙卷风等强对流天气偏多。  相似文献   

10.
2018年陕西省平均气温偏高,降水量接近常年,日照时数略少。全省平均气温127 ℃,较常年偏高06 ℃。春、夏季气温显著偏高,分别列1961年以来同期第一、第三高位。全省平均降水量6265 mm,接近常年同期。秋季降水量显著偏少,为2000年以来最少。2017/2018年冬季降雪强度大,积雪深,影响严重;春季寒潮降温强,低温冷冻危害严重;前汛期多雨时段开始早,雨量大;夏季暴雨多、强度大,高温持续时间长、极端性强。2018年低温冷冻害偏重,暴雨洪涝、干旱、风雹等灾害偏轻,气象灾害属偏轻年景。冬小麦和秋粮生育期气象条件较为适宜,有利于作物的增产丰收。苹果果区气候条件先弊后利,苹果总产较2017年减产三成。  相似文献   

11.
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.  相似文献   

12.
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.  相似文献   

13.
The moving-window correlation analysis was applied to investigate the relationship between autumn Indian Ocean Dipole (IOD) events and the synchronous autumn precipitation in Huaxi region, based on the daily precipitation, sea surface temperature (SST) and atmospheric circulation data from 1960 to 2012. The correlation curves of IOD and the early modulation of Huaxi region’s autumn precipitation indicated a mutational site appeared in the 1970s. During 1960 to 1979, when the IOD was in positive phase in autumn, the circulations changed from a “W” shape to an ”M” shape at 500 hPa in Asia middle-high latitude region. Cold flux got into the Sichuan province with Northwest flow, the positive anomaly of the water vapor flux transported from Western Pacific to Huaxi region strengthened, caused precipitation increase in east Huaxi region. During 1980 to 1999, when the IOD in autumn was positive phase, the atmospheric circulation presented a “W” shape at 500 hPa, the positive anomaly of the water vapor flux transported from Bay of Bengal to Huaxi region strengthened, caused precipitation ascend in west Huaxi region. In summary, the Indian Ocean changed from cold phase to warm phase since the 1970s, caused the instability of the inter-annual relationship between the IOD and the autumn rainfall in Huaxi region.  相似文献   

14.
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.  相似文献   

15.
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.  相似文献   

16.
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.  相似文献   

17.
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.  相似文献   

18.
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  相似文献   

19.
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.  相似文献   

20.
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.  相似文献   

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