2019年中国气候主要特征及主要天气气候事件

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。     

A Spatial Consistency Quality Control Method for Daily Surface Temperature Observations

A new spatial consistency quality control method (SRF) based on the spatial regression test (SRT) and random forest (RF) was adapted to identify potential outliers in daily surface temperature observations in this article. For the new method, the SRT method was used to filter the data and the RF method was used to conduct regression. To evaluate the performance of the quality control method, the SRF, SRT and RF methods were applied to a surface temperature dataset with seeded errors from different regions of China from 2005 to 2014. Compared to SRT and RF, the results indicate that the SRF method outperforms the other two methods for the most cases. And the results of the comparison led to the recommendation that the SRF method improves the regression accuracy of traditional spatial consistency quality control methods and reduces the runtime of random forest through data refinement.     

Recent Near-surface Temperature Trends in the Antarctic Peninsula from Observed,Reanalysis and Regional Climate Model Data

This study investigates the recent near-surface temperature trends over the Antarctic Peninsula.We make use of available surface observations,ECMWF’s ERA5 and its predecessor ERA-Interim,as well as numerical simulations,allowing us to contrast different data sources.We use hindcast simulations performed with Polar-WRF over the Antarctic Peninsula on a nested domain configuration at 45 km(PWRF-45)and 15 km(PWRF-15)spatial resolutions for the period 1991?2015.In addition,we include hindcast simulations of KNMI-RACMO21P obtained from the CORDEX-Antarctica domain(~50 km)for further comparisons.Results show that there is a marked windward warming trend except during summer.This windward warming trend is particularly notable in the autumn season and likely to be associated with the recent deepening of the Amundsen/Bellingshausen Sea low and warm advection towards the Antarctic Peninsula.On the other hand,an overall summer cooling is characterized by the strengthening of the Weddell Sea low as well as an anticyclonic trend over the Amundsen Sea accompanied by northward winds.The persistent cooling trend observed at the Larsen Ice Shelf station is not captured by ERA-Interim,whereas hindcast simulations indicate that there is a clear pattern of windward warming and leeward cooling.Furthermore,larger temporal correlations and lower differences exhibited by PWRF-15 illustrate the existence of the added value in the higher spatial resolution simulation.     

Specific Relationship between the Surface Air Temperature and the Area of the Terra Nova Bay Polynya,Antarctica

Antarctic polynyas play an important role in regional atmosphere-ice-ocean interactions and are considered to help generate the global deep ocean conveyer belt. Polynyas therefore have a potential impact on the Earth’s climate in terms of the production of sea ice and high-salinity shelf water. In this study, we investigated the relationship between the area of the Terra Nova Bay polynya and the air temperature as well as the eastward and northward wind based on the ERA5 and ERAInterim reanalysi...     

近60a新疆区域气温降水变化事实分析

利用1961～2017年新疆89个国家级气象观测站57年气温和降水量整编资料,采用一元线性回归进行趋势倾向估计,用最小二乘法反映气候要素的年平均增加、减少速率及年变化趋势。结果表明：新疆及北疆、天山山区、南疆各分区的年和四季平均气温呈现一致的上升趋势,其中新疆年平均升温速率为0.31℃/10a,90年代后期以后出现了明显增暖。冬季升温趋势最明显,夏季最弱。全疆和各分区的年、四季降水量呈现一致的增多趋势,新疆年降水量增加速率为10.14mm/10a。2010年代以来比1960年代增多了30%。冬季降水量增多趋势最明显。1961～2017年新疆气候变化较明显,总体在向暖湿方向变化。     

冬季黔北境内云贵准静止锋影响下最高气温预报订正方法研究

本文为探索静止锋位于遵义上空不同位置时,各城镇精细化预报考核站点当日高温的规律,通过普查2009至2020年12月到次年2月间14时、17时地面天气图,并结合探空资料、卫星云图等资料,筛选出云贵准静止锋（以下简称为静止锋）位于遵义境内时的所有个例,分型统计不同类型个例对应的白天最高温、EC2m温度预报数据,EC细网格850hPa温度,计算不同温度预报方法下的准确率,并分析是否可继续订正。结果表明：（1）离锋面越远,温度的预报准确率越高,基于客观预报方法的可订正性越强,实际业务中可以参考本文分析得到的各站点数据。（2）当静止锋呈Ⅰ1型时,遵义市西部站点用EC预报当日20时的850hPa温度进行预报（以下简称850hPa温度预报方法）准确率较高,北部、东部站点可用EC2m最高温度进行订正（以下简称2m温度订正方法）。（3）当静止锋呈Ⅰ2型时,可以同时参考850hPa温度预报方法和2m温度订正方法,订正后准确率高。（4）当静止锋为Ⅱ2型时,对于离锋面较远的东部、南部可着重使用2m温度订正方法。     

中国人类生物气候区划初探

为研究气温，湿度，风速和太阳辐射对人体冷热感的综合影响，利用有效温度和风冷指数以及我国６５７个气象站３０年的气候资料，做了中国人类生物气候区划。结果表明，我国冬季大致可分为２７个生物气候区，夏季一般可分为２０个生物气候区。区划结果对旅行，定居，城市建设，事行动等人类活动有参考价值。     

1971—2010年京津冀大城市热岛效应多时间尺度分析

利用1971—2010年均一化的京津冀区域逐日气温数据与质量控制后的2011年自动站逐时气温数据,分析了北京、天津和石家庄热岛效应的多尺度时间变化特征。结果表明,三个城市平均、最高和最低气温的热岛效应呈非对称性特征,最强为最低气温的热岛效应,其次为平均气温的热岛效应,最弱为最高气温的热岛效应。北京平均气温的热岛效应最强,其次为天津,石家庄相对较弱,石家庄平均气温的热岛效应近40年呈显著上升趋势,每10年达0.13℃。石家庄最高气温的热岛效应最强,其次为北京,最小为天津,近40年北京最高气温的热岛效应呈缓慢上升趋势,每10年增加0.06℃,石家庄变化不明显,天津呈微弱下降趋势。最低气温的热岛在北京最强,其次为天津,最小为石家庄,近40年最低气温热岛效应天津呈明显上升趋势,每10年增加0.18℃,其次为石家庄,北京呈微弱下降趋势。三个城市的平均气温、最低气温的热岛效应季节变化通常表现为夏季较弱,冬季最强。三个城市最高气温的热岛效应季节变化差异较大,北京10月热岛效应最弱,其他月份变化不大;天津热岛效应6月最弱,在1或12月最强;石家庄4和5月热岛效应最强,10月热岛效应最弱。由2011年自动站数据得到的平均气温热岛效应与1971—2010年的40年平均得到的平均气温的热岛效应季节变化具有类似的规律。2011年自动站热岛效应在一天中表现为白天热岛强度较低,而夜间热岛强度较高。     

西北太平洋热带气旋生成数在1990年代中期发生突变的气候环境特征分析

利用CMA热带气旋(TC)最佳路径资料和NCEP再分析资料,分析1949—2013年西北太平洋(包括南海)TC生成数的变化特征,发现在1995年前后发生由偏多到偏少的显著突变。对影响TC生成的主要气候环境要素场进行对比分析表明,在1995年之后,虽然赤道西太平洋海表温度偏高,热带太平洋为类La Ni?a的异常海温型,但垂直上升运动减弱、对流层纬向风垂直切变幅度增大、海平面气压升高,均不利于TC的生成,其综合影响导致TC数目显著减少。对1995年前后两个时期TC生成多、少典型年份海洋大气环境场的对比分析表明,1995年以前热带海洋表面温度对TC生成有相对重要的影响,而1995年以后风场环境对TC生成的影响作用更重要。      

A Model to Calculate what a Remote Sensor ‘Sees’ of an Urban Surface

Whilst the measurement of radiation emissions from a surface is relatively straightforward, correct interpretation and proper utilization of the information requires that the surface area seen be known accurately. This becomes non-trivial when the target is an urban surface, due to its complex three-dimensional form and the different thermal, radiative and moisture properties of its myriad surface facets. The geometric structure creates shade patterns in combination with the solar beam and obscures portions of the surface from the sensor, depending on where it is pointing and its field-of-view (FOV). A model to calculate these surface-sensor-sun relations (SUM) is described. SUM is tested against field and scale model observations, and theoretical calculations, and found to perform well. It can predict the surface area seen by a sensor of known FOV pointing in any direction when placed at any point in space above a specified urban surface structure. Moreover, SUM can predict the view factors of the roof, wall and ground facets seen and whether they are sunlit or shaded at any location and time of day. SUM can be used to determine the optimal placement and orientation of remote sensors to study urban radiation emissions; if the facet temperatures are known or modelled it can calculate the average temperature of the system, and it can determine the directional variation of temperature (anisotropy) due to any particular surface-sensor-sun geometric combination. The present surface geometry used in SUM is relatively simple, but there is scope to make it increasingly realistic.