Fog collection in the western Mediterranean basin (Valencia region, Spain)

Four different mountainous locations were selected in the Valencia region, East coast of the Iberian Peninsula, for fog water collection studies. Data for 2004 were obtained by means of an instrument ensemble consisting essentially of a passive cylindrical fog water collector, a raingauge, a wind direction and velocity sensor and a temperature and humidity probe. An approximate data reduction technique was also found for this specific ensemble to eliminate the simultaneous rain water component from the fog water measurements. Main results indicate that fog water collection holds significant potential in this region, and especially for southern locations. Annual rates of fog water yield can be as high as 7.0 l/m²/day in the southern locations, in contrast to 2.0 l/m²/day collected at one site in a northern location. The highest summer fog water yield was 4.6 l/m²/day, a relatively large value. Except for the summer period, fog episodes delivering sizeable water volumes are inherently coupled to rainfall. Hourly frequencies of fog collection were also examined to show a distinct daily cycle in summer, denoting orographic fog formation during this period. Lastly, winds were analysed to resolve the most suitable directions for fog collector alignment.     

Calculating Auroral Oval Pattern by AE Index

The relationship between the auroral oval pattern, i.e., location, size, shape, and intensity, and the auroral electrojet activity index （AE index） is studied. It is found that the maximal auroral intensity is elliptically distributed, and the lengths of semimajor and semiminor axes are positively correlated to AE. The intensity along the normal of the auroral oval can be satisfyingly described by a Gaussian distribution, and the maximum and the full width at half maximum of the Gaussian distribution ave both positively correlated to AE. Based on these statistical results, a series of experimental formulas as a function of AE are developed to calculate the location, size, shape, and intensity of the auroral oval. These formulas are validated by the auroral images released by SWPC/NOAA.     

蚕豆生长发育的温度指标分析

利用1971-2006年蚕豆单产统计资料,采用滑动平均的方法,计算每年蚕豆气象产量,并以此划分丰、平、歉气候年景.以2001-2006年田间观测数据和生产实际为基础,确定蚕豆平均生长发育期,分析蚕豆生长与日平均温度、日最高温度、日最低温度之间的关系.通过研究得出蚕豆从播种到成熟的最适温度上限、最适温度下限、最适温度上限极值、最适温度下限极值、受害温度、死亡温度,并以此为基础结合蚕豆生长期的其它气象因子,制定蚕豆生长季气象服务决策表,为规范化、数字化的气象服务业务流程奠定基础.     

冬小麦晚霜冻害时空分布与多时间尺度变化规律分析

冬小麦晚霜冻害主要发生在中国的黄淮区域,河南占黄淮区域面积较大,是中国小麦的主要产地,又是晚霜冻害的重发区,因此文章以河南为例,从构成晚霜冻害的最低温度和小麦发育期两个因素出发,提出了晚霜冻害指数构建方法,使晚霜冻害指标定量化,并从多年数据库中计算出逐年晚霜冻害发生强度和发生天数.由于小麦发育期观测资料序列较短,影响了大尺度小麦晚霜冻害变化规律的分析,因而提出了冬小麦发育期资料推算方法;对计算出的近50年晚霜冻害资料进行EOF分析和Morlet小波分析,以发现晚霜冻害的时空分布与多时间尺度变化规律.结果表明:冬小麦晚霜冻害发生频率较高,高发区频率超过40%,且在20世纪70-90年代有增多的趋势;发生强度和天数变化趋势基本相似,具有发生强度较重区对应着发生天数较多区的趋势,且前者对小麦产量的影响大于后者;晚霜冻害发生强度的重发区分布在豫东南和豫西南,轻发区主要分布在淮河以南及豫西部分地区,其中第1模态分布型存在16年、第2模态分布型存在准2年的多时间尺度变化规律;发生天数的多发区主要分布在豫北北部和豫西南边界,少发区在豫东北及豫西南中部,其中第1模态分布型存在着准4年、第2模态分布型存在准3年和准6-7年的周期.     

MODIS沙尘暴判识方法与业务系统

为了利用MODIS资料对沙尘暴的范围和强度进行定量判识,应用2002--2004年多次MODIS资料,通过对沙尘暴、云、雪和沙漠光谱特征的分析,构建了定量判识沙尘暴范围和强度的两个沙尘指数.利用2002-2007年数次沙尘暴过程对沙尘指数的判别效果进行检验,表明构建的两个M()DIS沙尘指数能够有效地监测沙尘暴的范围和强度,且方法简单,适用于业务应用.针对目前西北沙尘暴遥感监测业务服务以定性图像为主,服务产品较为单一的问题,对MODIS沙尘暴判识方法进行业务化,并结合GIS进行沙尘暴影响范围的分析,开发研制了自动运行的MODIS沙尘暴监测和影响评估业务系统.系统具生成沙尘暴MODIS影像图、沙尘暴范围和强度遥感监测图、沙尘暴影响土地类型图、全国各省(直辖市)沙尘面积统计表、全国不同土地类型沙尘暴影响面积统计表、甘肃省各县沙尘暴的影响面积统计表和甘肃省不同土地类型沙尘影响面积统计表等功能,为沙尘暴定量和精细服务提供了丰富的产品.     

干旱半干旱区太阳辐射特征

Climatic characteristics of broadband solar radiation （Rs） in Chinese arid and semi-arid areas are reported in this study. The annual average daily Rs in the arid and semi-arid areas is 16.3 ±5.77 and 15.3 ± 5.16 MJ m^-2 d^-1, respectively. The highest value （17.2 ± 5.84 MJ m^-2 d^-1） appears in an arid area at Linze. The lowest value appears in the semi-arid area of Ansai. Pronounced seasonal variation of Rs is observed with the highest value in summer and the lowest in winter. The clearness index showed similar seasonal pattern at most sites, with the minimum observed in the summer and the highest values in winter at both arid and semi-arid areas. The seasonal variation of the ratio of Rs to its extraterrestrial value Kt in the arid area is more significant than that observed in the semi-arid region, and it is caused by the different range of variation of water vapor between arid and semi-arid areas. The seasonal fluctuations in Rs and Kt are mainly controlled by the water vapor content in these areas. The aerosol particles have significant influence on Rs and Kt at stations with higher aerosol burden.     

Global and Regional Impacts of Vegetation on the Hydrological Cycle and Energy Budget as Represented by the Community Atmosphere Model （CAM3）

The effects of vegetation and its seasonal variation on energy and the hydrological cycle were examined using a state-of-the-art Community Atmosphere Model （CAM3）. Three 15-year numerical experiments were completed： the first with realistic vegetation characteristics varying monthly （VEG run）, the second without vegetation over land （NOVEG run）, and the third with the vegetation characteristics held at their annual mean values （VEGMEAN run）. In these models, the hydrological cycle and land surface energy budget were widely affected by vegetation. Globaland annual-mean evapotranspiration significantly increased compared with the NOVEG by 11.8% in the VEG run run, while runoff decreased by 13.2% when the realistic vegetation is incorporated. Vegetation plays different roles in different regions. In tropical Asia, vegetation-induced cooling of the land surface plays a crucial role in decreasing tropical precipitation. In middle latitudes and the Amazon region, however, the vegetation-induced increase of evapotranspiration plays a more important role in increasing precipitation. The seasonal variation of vegetation also shows clear influences on the hydrological cycle and energy budget. In the boreal mid-high latitudes where vegetation shows a strong seasonal cycle, evapotranspiration and precipitation are higher in the summer in the VEG run than in the VEGMEAN run.     

北京城市高温遥感指标初探与时空格局分析

利用北京高温天气下的NOAA18/AVHRR卫星资料与气象台站资料,分析了日最高气温与遥感反演的城市地表温度的关系,初步确定了地表高温阈值并建立了高温遥感指标,并利用1989~2008年(缺2002年)6~9月NOAA/AVHRR资料开展了北京地区高温时空格局分析研究。指标初步研究表明:北京气温高温值为35、37、40°C对应的遥感地表高温值分别为44、47、52°C,可以较好地适用于北京平原地区;利用该阈值建立的地表高温强度指标(LSHI)对北京平原高温的监测与气象台站高温监测基本一致,而高温比例指数指标(LSHP)能有效反映出城市高温空间强弱和时间差异。北京遥感地表高温空间格局分析显示:夏季(6~8月)旬平均遥感地表温度≥44°C年出现概率不超过50%,广泛分布于城区和平原区;旬平均遥感地表温度≥47°C年出现概率不超过40%,集中于北京五环内;旬平均遥感地表温度≥52°C年出现概率不超过15%,集中于城区;6~9月高温出现的概率高值区一般都集中于五环内,其中旬平均遥感地表温度≥44°C、≥47°C、≥52°C的出现概率分别为80%~100%、60%~80%、10%~40%。     

巴里坤绿洲1961-2006年湿润指数变化

地表湿润指数能较客观地反映某一地区的水热平衡状况,是判断某一地区气候干旱与湿润状况的良好指标。通过计算巴里坤1960--2006年逐旬的地表湿润指数,得出：（1）巴里坤历年月平均湿润指数介于0．2与0．5之间,较为干旱,尤其是在植物生长季节,湿润指数较低。对当地农作物和牧草的生长发育造成一定影响;（2）自90年代以来,该区气温和降水增幅明显增大,但湿润指数却呈现逐渐减小的趋势,表明该区域干旱程度随着气温的升高在逐渐加大,增温效应大于降水效应;（3）湿润指数时间分布不均,春夏季较低,秋冬季较高;（4）湿润指数可以作为反映生态环境变化的指标,为科学合理的进行生态环境变化监测提供服务。     

宁夏地表湿润状况演变规律研究

利用1961-2004a宁夏23站月降水和平均气温资料,通过计算地表湿润指数,分析了宁夏区域平均及不同区域地表湿润指数的年代际变化特征及季节性差异.最后,给出了地表湿润指数年及各季节变化趋势的地理分布.结果表明:近40a来宁夏年地表湿润指数总趋势是下降的,即地表在变干;地表湿润指数的变化具有明显的阶段性特征,即1970s末期以前的冷湿期,1970s末至1980s中期的冷干期,1980s中期以来的暖干期;宁夏的干化趋势主要发生在秋季;宁夏年、秋季地表显著变干的中心区域主要集中在中部干旱带及南部山区的北部;冬季南部山区存在显著变湿趋势,春、夏季各地均无显著干、湿变化趋势.