Temperature variations at the Great Wall and Zhongshan stations

Surface meteorological observations have been carried out at the Great Wall station (GW) and Zhongshan station (ZS) from 1984 to 2008 and from 1989 to 2008 respectively. The variation in mean air temperature and its trends are derived from the meteorological observation data recorded at both stations. The warming rate of the annual mean temperature at GW is similar to that at Bellingshausen station, which is about 3 km distant. Thus, the warming trend is representative of the King George Island region. The warming rate of ZS is less different from that at Davis station,which is about 100 km from ZS. It can be said that the meteorological data recorded at both stations are representative of the regions of the King George Island and east coast of the Antarctic.     

基于气象站观测数据的京津冀城市扩展对气温变化的影响研究

城市扩展引起的区域增温效应一直都是城市热环境研究中的热门领域。本研究首先基于1980-2015年7期城市扩展遥感监测数据,通过熵值法构建了京津冀地区58个气象站周边2 km半径范围内城市扩展程度指数;然后使用四分位法对该指数进行分级,将站点划分为低度城市扩展（C1）、中度城市扩展（C2）和高度城市扩展站点（C3）;最后通过3类站点年和季节平均气温变化趋势对比分析,揭示了城市扩展对气温变化的影响程度及其贡献率。结果表明：① 1980-2015年京津冀地区几乎所有站点周边都有城市扩展现象,58个气象站周边城市扩展程度指数平均为0.377,C3类站点周边城市扩展程度指数为0.650;② 3类站点年和季节平均气温增温速率均表现为C1 < C2 < C3,C3类站点年平均气温的增温速率为0.536 ℃/10a;在季节平均气温上,C1、C2和C3站点春季的增温速率均最高,其中C3类站点的为0.637 ℃/10a,而夏季或秋季最低;③ 城市扩展对C3类站点年和季节平均气温增温影响和贡献率均高于C2类站点,对C3类站点年平均气温的增温影响和贡献率分别为0.342 ℃/10a和63.81%;在季节平均气温上,城市扩展对C2和C3类站点的增温影响均在冬季最高,分别为0.229 ℃/10a和 0.410 ℃/10a,而在春季或夏季最低;城市扩展对C2和C3类站点的增温贡献率均在秋季最高,分别为73.24%和82.96%,而在春季最低。     

Regional Summer Temperature Decrease against Global Warming in China, Landform Effect？

The data of 160 national meteorological observatory(NMO)stations with long-term monthly temperature data for China were analyzed in this study to show the basin-centered summer temperature decrease against global warming in the past half century. The summer and winter isotherm structures of 1950s and 1990s worked out by interpolation show the isotherm structure variations: the isotherm structure generally moves northward in winter, but in summer it is characterized with separate high-temperature and low-temperature centers and the isotherm structure moves inward the centers with global warming, indicating that the temperature in the highland areas increases but that in the lowland areas decreases in the summer of the duration. The possible mechanism of the basin-centered temperature decrease in summer is discussed in this paper.     

Regional summer temperature decrease against global warming in China, landform effect?

The data of 160 national meteorological observatory (NMO) stations with long-term monthly temperature data for China were analyzed in this study to show the basin-centered summer temperature decrease against global warming in the past half century. The summer and winter isotherm structures of 1950s and 1990s worked out by interpolation show the isotherm structure variations: the isotherm structure generally moves northward in winter, but in summer it is characterized with separate high-temperature and low-temperature centers and the isotherm structure moves inward the centers with global warming, indicating that the temperature in the highland areas increases but that in the lowland areas decreases in the summer of the duration. The possible mechanism of the basin-centered temperature decrease in summer is discussed in this paper.     

近40年来中国大陆地表气温变化估算

 本文对近20年来中国地表气温变化估算方法进行了全面的总结,并对不同研究者所采用的资料、时间尺度及研究结果进行了对比分析。结合当前国际上应用较多的几种升温估算方法,本文以1970-2007年的气温数据为基础,分别应用直接算术平均法、逐站计算法、区域面积加权法、一级差分法和空间插值法,对中国大陆近40年的升温幅度分别进行了估算,从结果的对比分析中揭示中国地表气温变化估算中存在的不确定性:中国大陆地区近40年来的增温趋势在0.30~0.43℃/10a之间,升温幅度在1.16~1.56℃之间;冬季升温最为显著,夏季升温最少;整体上北方升温幅度高于南方。不同计算方法计算得到的增温速率在绝对值上有着一定差异,但整体趋势是相同的。     

气温插值中不同空间插值方法的适用性分析——以江苏省为例

气温是最重要的气象因子之一,空间插值为台站气象数据降尺度提供了有效方法.本文利用江苏省67个气象台站2003年的逐日气温资料计算逐月平均气温和年平均气温,结合空间分辨率为30mX 30m的DEM数据,分别利用反距离权重法、张力样条插值法、普通克里格插值法和协同克里格插值法,对月和年平均气温进行插值,并利用交叉验证法对插...     

Effect of altitude and latitude on surface air temperature across the Qinghai-Tibet Plateau

The correlation between mean surface air temperature and altitude is analyzed in this paper based on the annual and monthly mean surface air temperature data from 106 weather stations over the period 1961–2003 across the Qinghai-Tibet Plateau. The results show that temperature variations not only depend on altitude but also latitude, and there is a gradual decrease in temperature with the increasing altitude and latitude. The overall trend for the vertical temperature lapse rate for the whole plateau is approximately linear. Three methods, namely multivariate composite analysis, simple correlation and traditional stepwise regression, were applied to analyze these three correlations. The results assessed with the first method are well matched to those with the latter two methods. The apparent mean annual near-surface lapse rate is −4.8 °C /km and the latitudinal effect is −0.87 °C /^olatitude. In summer, the altitude influences the temperature variations more significantly with a July lapse rate of -4.3°C /km and the effect of latitude is only −0.28°C /^olatitude. In winter, the reverse happens. The temperature decrease is mainly due to the increase in latitude. The mean January lapse rate is −5.0°C /km, while the effect of latitude is −1.51°C /^olatitude. Comparative analysis for pairs of adjacent stations shows that at a small spatial scale the difference in altitude is the dominant factor affecting differences in mean annual near-surface air temperature, aided to some extent by differences of latitude. In contrast, the lapse rate in a small area is greater than the overall mean value for the Qinghai-Tibet Plateau (5 to 13°C /km). An increasing trend has been detected for the surface lapse rate with increases in altitude. The temperature difference has obvious seasonal variations, and the trends for the southern group of stations (south of 33° latitude) and for the more northerly group are opposite, mainly because of the differences in seasonal variation at low altitudes. For yearly changes, the temperature for high-altitude stations occurs earlier clearly. Temperature datasets at high altitude stations are well-correlated, and those in Nanjing were lagged for 1 year but less for contemporaneous correlations. The slope of linear trendline of temperature change for available years is clearly related to altitude, and the amplitude of temperature variation is enlarged by high altitude. The change effect in near-surface lapse rate at the varying altitude is approximately 1.0°C /km on the rate of warming over a hundred-year period.     

成都城市区域小气候时空变化特征分析

利用成都市12个自动站的气象资料,分析了成都市区域小气候及其变化特征.研究表明,成都城市热岛现象并非出现在城市中心区,而是北部和东部工业区,其平均气温相对较高,降水量偏多;南部文化区平均气温最低,风速最大;西部旅游居家区气温年变化最小,且有冬暖夏凉的特征,降水量偏少;城市中心区风速最小.     

基于随机森林算法的近地表气温遥感反演研究

近地表气温是城市热环境的重要表征,是改变和影响城区气候的重要因素。为获得空间上连续的近地表气温,本文以北京市为研究区,利用Landsat5/TM数据计算分别得到地表温度、归一化植被指数、改进的归一化差异水体指数、地表反照率、不透水面盖度,并结合气象站点气温和高程作为输入参数建立随机森林模型反演近地表气温。结果表明,随机森林反演的近地表气温平均绝对误差（MAE）为0.80 ℃,均方根误差（RMSE）为1.06 ℃,与传统多元线性气温回归方法相比,平均绝对误差（MAE）和均方根误差（RMSE）分别提高0.06 ℃和0.09 ℃。研究表明,利用随机森林模型反演近地表气温是可行的,并且具有一定的优越性。此外,对随机森林模型的输入参数进行重要性分析,地表温度对气温反演模型的影响最大,其次为高程。     

多年平均气温数据空间化误差的尺度效应

属性数据空间化是利用矢量数据生成栅格数据产品的有效方法,它有助于不同来源、不同格式之间的数据的综合分析。空间化是一种必然有误差伴随的过程,为探讨空间化误差与数据源密度、空间化模型方法,以及空间化分辨率之间的关系,本文利用7种水平的气象站点密度、5种空间化模型方法和19种栅格分辨率分析多年平均气温数据空间化误差与这3类影响因子之间的关系。分析发现：（1）气象站点密度的降低导致多年平均气温数据的空间化误差增加;（2）在IDW、Kriging、Adjusted IDW、Regression和Anusplin 5种空间化模型方法中,Adjusted IDW、Regression、Anusplin比IDW、Kriging的精度高;（3）随着栅格分辨率的变粗,多年平均气温数据空间化误差增大;（4）在影响空间化精度的3类因子中,空间化模型方法对空间化精度的影响最大,栅格分辨率次之,气象站点密度的影响最小。通过多元回归分析,建立了多年平均气温数据空间化误差与这3类影响因子之间的定量模型,可为空间化技术方案的制定提供参考和依据。     

青海高原器测时期降水、气温的突变分析

对遍及青海高原３８个气象台站器测时期降水和气温分别进行聚类分析,得出３种不同变化类型的降水区域和３种气温区域,然后用ＭＫ突变分析方法和最优二级分割方法对各区域降水和气温气候序列进行均值和方差突变检测得出：青海高原大部分地区在６０年代末出现了降水突变现象,８０年代中后期普遍产生气温突变。     

Changes in Air Temperatures and Atmosphere Circulation in High Mountainous Parts of Bulgaria for the Period 1941-2008

Changes of air temperatures and atmosphere circulation at three high mountainous stations in Bulgaria are investigated for the period of 1941-2008.The three stations are located on peaks Musala,Cherni vrah and Botev,where air temperature data have good quality.Some missing data were recovered using the method of differences. A significant mean annual air temperature rise happened in high mountainous parts of Bulgaria- the warming is in the order of 0.7°C for the entire period.The increase is very prominent particularly in the last 30 years.Main contributors to this overall tendency are summer months-June,July and August.To some degree,January also could be included in this group.November trend shows temperature rise at the beginning of the investigated period.One of the causes for such a tendency is atmosphere circulation in respective months.It also shows signs of considerable reorganization in both winter and summer.There is an increase of the cases of warm atmosphere patterns typical for winter, summer and autumn seasons in Bulgaria.Meridional circulation has essential significance for air temperatures during the cold half of the year.In January and June atmosphere circulation has a substantial influence on the thermal regime of air in high mountains of Bulgaria.In July,August and November this influence is reduced.There are no cycles in air temperatures for the investigated period.     

Changes of temperature and precipitation extremes in Hengduan Mountains, Qinghai-Tibet Plateau in 1961–2008

Variations and trends in extreme climate events are more sensitive to climate change than the mean values,and so have received much attention.In this study,twelve indices of temperature extremes and 11 indices of precipitation extremes at 32 meteorological stations in Hengduan Mountains were examined for the period 1961-2008.The results reveal statistically significant increases in the temperature of the warmest and coldest nights and in the frequencies of extreme warm days and nights.Decreases of the diurnal temperature range and the numbers of frost days and ice days are statistically significant.Regional averages of growing season length also display the trends consistent and significant with warming.At a large proportion of the stations,patterns of temperature extremes are consistent with warming since 1961:warming trends in minimum temperature indices are greater than those relating to maximum temperature.As the center of the Shaluli Mountain,the warming magnitudes decrease from inner to outer.Changes in precipitation extremes is low:trends are difficult to detect against the larger inter-annual and decadal-scale variability of precipitation,and only the wet day precipitation and the regional trend in consecutive dry days are significant at the 0.05 level.It can be concluded that the variation of extreme precipitation events is not obvious in the Hengduan Mountains,however,the regional trends generally decrease from the south to the north.Overall,the spatial distribution of temporal changes of all extreme climate indices in the Hengduan Mountains illustrated here reflects the climatic complexity in mountainous regions.     

Temperature and precipitation variations at two meteorological stations on eastern slope of Gongga Mountain, SW China in the past two decades

Gongga Mountain, locates on the eastern edge of Tibetan Plateau of China, is the highest mountain in China except summits in Tibet. Only limited meteorological data on Gongga Mountain have been published so far. Here we present the meteorological records from two stations, Moxi Station (at 1,621.7 m above sea level (a.s.l.), 1992–2010) and Hailuogou Station (at 2,947.8 m a.s.l., 1988–2010), on the eastern slope of Gongga Mountain. In the past two decades, the annual precipitation decreased while the annual mean temperature increased at Hailuogou Station. Both precipitation and temperature increased at Moxi Station. The precipitation variation on the eastern slope of Gongga Mountain is influenced by both East Asian Monsoon and Indian Monsoon, so that the precipitation concentrated between May and October. The temperature variation on the eastern slope of Gongga Mountain in the past two decades showed similar trends as that of the northern hemispheric and global. In the past two decades, the temperature increased 0.35°C and 0.3°C/decade at Hailuogou Station and Moxi Station respectively, which was higher than the increase extents of northern hemispheric and global temperature. The most intense warming occurred at the first decade of 21st century. The winter temperature increased more at Hailuogou Station than at Moxi Station. A remarkable increase of temperature in March was observed with only a little precipitation at both high and low altitude stations.     

Sensitivity of penman-monteith reference crop evapotranspiration in Tao’er River Basin of northeastern China

A non-dimensional relative sensitivity coefficient was employed to predict the responses of reference crop evapotranspiration （ET0） to perturbation of four climate variables in Tao＇er River Basin of the northeastern China. Mean monthly ET0 and yearly ET0 from 1961 to 2005 were estimated with the FAO-56 Penman-Monteith Equation. A 45-year historical dataset of average monthly maximum/minimum air temperature, mean air temperature, wind speed, sunshine hours and relative humidity from 15 meteorological stations was used in the analysis. Results show that： 1） Sensitivity coefficients of wind speed, air temperature and sunshine hours were positive except for those of air temperature of Arxan Meteorological Station, while those of relative humidity were all negative. Relative humidity was the most sensitive variable in general for the Tao＇er River Basin, followed by sunshine hours, wind speed and air temperature. 2） Similar to climate variable, monthly sensitivity coefficients exhibit large annual fluctuations. 3） Sensitivity coefficients for four climate variables all showed significant trends in seasonal/yearly series. Also, sensitivity coefficients of air temperature, sunshine hours and wind speed all showed significant trends in spring. 4） Among all sensitivity coefficients, the average yearly sensitivity coefficient of relative humidity was highest throughout the basin and showed largest spatial variability. Longitudinal distribution of sensitivity coefficients for air temperature, relative humidity and sunshine hours was also found, which was similar to the distribution of the three climate variables.     

复杂山区地形条件下ERA5再分析地表气温降尺度方法

高时空分辨率的气温栅格数据是多种地学模型和气候模型的重要输入。山区地形复杂,气温空间异质性强,如何获取高时空分辨率的山区地表气温数据一直是研究热点与难点。本文选择地形复杂的河北省张家口市作为试验区,基于局部薄盘样条函数对ERA5再分析日均近地表气温（2 m高度）进行空间插值,并利用随机森林算法,结合少量气象站观测气温数据、地形地表参数数据构建日均气温订正模型和气温逐时化模型,实现空间分辨率由0.1 °（约11 km）到30 m的逐时气温降尺度,最后将该模型拓展应用于其他时间与区域,检验本文发展的降尺度方法在没有站点观测数据条件下的时空移植性。结果显示,本文降尺度方法得到的高时空分辨率山区气温数据精度较高,1月均方根误差（RMSE）平均值为2.4 ℃,明显优于气象站点插值结果,且气温相对高低的空间分布更为合理、纹理更加丰富;将该方法应用到其他时间与区域的RMSE平均值分别为2.9 ℃与2.5 ℃,均小于再分析资料直接插值所产生的误差。研究结果总体表明,在气象站点较少甚至没有时,可利用本文方法通过ERA5再分析气温准确获取复杂地形条件下的山区高时空分辨率气温数据。     

Impacts of global warming on patterns of temperature change in China

Global climate change has a wide range of impacts, and this paper presents an investigation on how global warming has changed the relationship between air temperature and latitude ＆ altitude using the meteorological data obtained from 160 stations in China. The investigation indicates that there are very distinct seasonal differences in patterns of temperature variation as a function of latitude and altitude： a very significant latitude effect in winter and a very significant altitude effect in summer. However, with global warming, the latitude effect in winter is weakening and the altitude effect in summer is strengthening. This pattern of change in the relationship between temperature and latitude ＆ altitude is helpful in efforts to reconstruct and explain the past temperature patterns and variations.     

射洪县近30年区域气候特征分析

利用射洪县近30年来的气温、降水、相对湿度、云量、日照时数等气象要素资料,应用多种统计方法分析了近30年来射洪县的区域气候特征.结果表明,射洪年平均温度在1986年左右发生转折性变化,气温明显变暖.而年降水量总体上以波动变化为主,在20世纪80年代中后期有较为明显的减少.降水量与年平均温度的突变年代类似,但变化趋势正好相反,说明90年代以后射洪的气候向暖干型转变.各气象要素的综合分析表明,随着全球气候变暖,射洪区域气候变化趋势不容乐观:相对湿度的减少导致降水减少,而温度则在进一步上升,低云量的增加和日照时数的减少,使得阴天寡照加剧.射洪区域气候变化与当地诸如人口增长,城市扩大等人类活动,以及农业生态之间均存在密切联系.     

体感温度客观分析方法研究

影响人体体感温度的气象要素主要包括温度、湿度、风以及太阳辐射,依据这些气象要素影响人体体感温度的原理,确定了平均气温与体感温度相同时的临界相对湿度、风速及太阳辐射值.以全国有水平面直接辐射曝辐量观测项目的77个气象台站的历年逐日4次定时观测资料为基础,把相邻两个白昼(夜间)的气温差作为因变量,相对湿度差、风速差、垂直辐射差(白昼)作为自变量,以旬为时问分辨率,建立了逐旬多元回归方程.各地所建立的逐句多元线性拟合方程拟合优度相当高,F统计量检验也充分证明线性回归方程总体成立,从气候意义、统计角度来看该方法都具有充分的可行性.     

Diurnal and seasonal variation of the elevation gradient of air temperature in the northern flank of the western Qinling Mountain range,China

The typically sparse or lacking distribution of meteorological stations in mountainous areas inadequately resolves temperature elevation variability. This study presented the diurnal and seasonal variations of the elevation gradient of air temperature in the northern flank of the western Qinling Mountain range,which has not been thoroughly evaluated. The measurements were conducted at 9 different elevations between 1710 and 2500 m from August 2014 to August 2015 with HOBO Data loggers. The results showed that the annual temperature lapse rates(TLRs) for Tmean,Tmin and Tmax were 0.45?C/100 m,0.44?C/100 m and 0.40?C/100 m,respectively,which are substantially smaller than the often used value of 0.60°C/100 m to 0.65°C/100 m. The TLRs showed no obvious seasonal variations,except for the maximum temperature lapse rate,which was steeper in winter and shallower in spring. Additionally,the TLRs showed significant diurnal variations,with the steepest TLR in forenoon and the shallowest in early morning or late-afternoon,and the TLRs changed more severely during the daytime than night time. The accumulated temperature above 0°C,5°C and 10°C(AT0,AT5 and AT10) decreased at a lapse rate of 112.8?C days/100 m,104.5?C days/100 m and 137.0?C days/100 m,respectively. The monthly and annual mean diurnal range of temperatures(MDRT and ADRT) demonstrated unimodal curves along the elevation gradients,while the annual range of temperature(ART) showed no significant elevation differences. Our results strongly suggest that the extrapolated regional TLR may not be a good representative for an individual mountainside,in particular,where there are only sparse meteorological stations at high elevations.