农业气象试验站温室土壤温度控制系统

采用８０３１,８２７９,８２５５,ＡＤＣ０８０９,２８６４,６２６４等芯片组成一实用的温室土壤温度控制系统。由键盘输入温室土壤的上,下限温度,通过ＡＤＣ０８０９对温室土壤温度进行采样,并实时显示土壤温度。当土壤温度超越上,下限时,系统报警,并进行自动处理。     

黑龙江省未来30、50年气候预测

通过CCCma、CCSR、CSIRO、Gfdl和Hadley气候模式对黑龙江省其中包括齐齐哈尔、佳木斯、哈尔滨、牡丹江等4区未来50年(2005～2050年)，在GG、GS情景下数值模拟。结果表明(采用GS结果)，未来2030、2050年气温均有较大增高。其中2030年年平均气温可增高1．94℃；春季提高2．06℃：；夏季提高1．29℃；秋季提高1．79℃；冬季提高2．66℃，2050年又继续增加．年平均气温将提高2．42℃；春季提高2．13℃；夏季提高1．68℃；秋季提高2．56℃；冬季提高3．21℃。冬季是四季中增幅最大的季节，其次秋季、春季和夏季。如果按GG情景下，未来气温还要高出1℃。增温中心在西部齐齐哈尔，增温较小为牡丹江。从哈尔滨年蒸发量来看，2030年可增加11％，2050年可增加13％。     

热带太平洋西风异常对ENSO事件发生的作用

本文从观测资料对80年代两次ENSO事件产生过程中，热带太平洋西风异常及其对赤道中、东太平洋表层海温增暖的作用进行了分析和比较。分析结果表明:在这两次ENSO事件的产生过程中，赤道西太平洋上空均有较大的西风异常，并且它由赤道西太平洋向赤道中、东太平洋传播，随着西风异常从西向东传播，赤道中、东太平洋的表层相继增温。分析还表明，1982／1983年ENSO事件发生过程中，热带太平洋西风异常的强度要比1986／1987年热带太平洋西风异常强得多，这使得1982／1983 ENSO事件的强度比1986／1987_ENSO事件强得多。为了说明热带西太平洋西风异常对赤道中、东太平洋ENSO事件发生的作用，本文还利用IAP太平洋环流模式对西风异常在ENSO事件产生过程中的作用进行了数值模拟。模拟的结果说明了热带太平洋的西风异常对赤道太平洋暖水的向东传播和赤道中、东太平洋的增温起了很重要作用，这与观测事实分析一致。     

Diurnal Variation of Tropical Cyclone Rainfall in the Western North Pacific in 2008–10

Diurnal variation of tropical cyclone (TC) rainfall in the western North Pacific (WNP) is investigated using the high-resolution Climate Prediction Center’s morphing technique (CMORPH) products obtained from the National Oceanic and Atmospheric Administration (NOAA). From January 2008 to October 2010, 72 TCs and 389 TC rainfall days were reported by the Joint Typhoon Warning Center’s (JTWC) best-track record. The TC rain rate was partitioned using the Objective Synoptic Analysis Technique (OSAT) and interpolated into Local Standard Time (LST). Harmonic analysis was applied to analyze the diurnal variation of the precipitation. Obvious diurnal cycles were seen in approximately 70% of the TC rainfall days. The harmonic amplitude and phase of the mean TC rainfall rate vary with TC intensity, life stage, season, and spatial distribution. On the basis of intensity, tropical depressions (TDs) exhibit the highest precipitation variation amplitude (PVA), at approximately 30%, while super typhoons (STs) contain the lowest PVA, at less than 22%. On the basis of lifetime stage, the PVA in the decaying stage (more than 37%) is stronger than that in the developing (less than 20%) and sustaining (28%) stages. On the basis of location, the PVA of more than 35% (less than 18%) is the highest (lowest) over the high-latitude oceanic areas (the eastern ocean of the Philippine Islands). In addition, a sub-diurnal cycle of TC rainfall occurs over the high-latitude oceans. On the basis of season, the diurnal variation is more pronounced during summer and winter, at approximately 30% and 32%, respectively, and is weaker in spring and autumn, at approximately 22% and 24%, respectively.     

热带气旋快速加强与海表温度分布统计特征研究

为加强海表温度对热带气旋快速加强影响的认识,利用中国气象局上海台风研究所整编的热带气旋最佳路径数据集和欧洲中尺度天气预报中心提供的海温数据,选取1979−2019年期间的西北太平洋热带气旋,统计分析了海温和热带气旋强度快速变化的特征。研究结果表明：（1）约90%的热带气旋快速加强发生在夏季和秋季,分别占快速加强总次数的32.8%和56.4%,绝大部分热带气旋以跨越1个强度等级的快速加强为主,由强热带风暴快速加强到台风和由台风快速加强到强台风是出现次数较多的两种情况。（2）夏季大于28℃,秋季大于27.5℃的海表温度条件有利于热带气旋快速加强,较低强度等级的热带气旋需要更高的海表温度（> 29℃）才易出现快速加强;热带气旋快速移动有利于其中心处海温维持较高状态。（3）海温的时间变率在±0.2℃/(6 h)内,水平空间梯度低于0.4℃/(°)是热带气旋快速加强的有利条件;热带气旋强度越强,越需要平稳的海表温度环境。（4）热带气旋处于强热带风暴及以上级别时,仅利用海表温度条件对其是否发生快速加强的判断准确性较好。这一工作量化了有利于热带气旋加强的海表温度环境,为业务上基于海表温度定量预报热带气旋强度演变提供了一种技术参考。     

Teaching and Tragedy: Lessons from a Population and GIS workshop in Cambodia

Abstract

Long-term collection of soil temperature with depth is important when studying climate change. The international program GLOBE® provides an excellent opportunity to collect such data, although currently endorsed temperature collection protocols need to be refined. To enhance data quality, protocol-based methodology and automated data logging, along with other physical data, were used to collect soil temperature to a depth of one meter. Data show that diurnal and shallow variation ceases at around 50 cm depth. Therefore the need to incorporate deeper depths into the current protocols for heat flux calculations is warranted. The manual methodology was also found to give representative data.     

Future projection of East China Sea temperature by dynamic downscaling of the IPCC_AR4 CCSM3 model result

Future temperature distributions of the marginal Chinese seas are studied by dynamic downscaling of global CCSM3 IPCC_AR4 scenario runs.Different forcing fields from 2080-2099 Special Report on Emissions Scenarios(SRES) B1,A1,and A2 to 1980-1999 20C3M are averaged and superimposed on CORE2 and SODA2.2.4 data to force high-resolution regional future simulations using the Regional Ocean Modeling System(ROMS).Volume transport increments in downscaling simulation support the CCSM3 result that with a weakening subtropical gyre circulation,the Kuroshio Current in the East China Sea(ECS) is possibly strengthened under the global warming scheme.This mostly relates to local wind change,whereby the summer monsoon is strengthened and winter monsoon weakened.Future temperature fluxes and their seasonal variations are larger than in the CCSM3 result.Downscaling 100 years’ temperature increments are comparable to the CCSM3,with a minimum in B1 scenario of 1.2-2.0°C and a maximum in A2 scenario of 2.5-4.5°C.More detailed temperature distributions are shown in the downscaling simulation.Larger increments are in the Bohai Sea and middle Yellow Sea,and smaller increments near the southeast coast of China,west coast of Korea,and southern ECS.There is a reduction of advective heat north of Taiwan Island and west of Tsushima in summer,and along the southern part of the Yellow Sea warm current in winter.There is enhancement of advective heat in the northern Yellow Sea in winter,related to the delicate temperature increment distribution.At 50 meter depth,the Yellow Sea cold water mass is destroyed.Our simulations suggest that in the formation season of the cold water mass,regional temperature is higher in the future and the water remains at the bottom until next summer.In summer,the mixed layer is deeper,making it much easier for the strengthened surface heat flux to penetrate to the bottom of this water.     

基于MODIS数据的太湖浮游植物物候变化及其对水表温度的响应

浮游植物物候能够反映浮游植物的生长变化与湖泊生态系统的变化,水温、营养盐浓度等因素对物候有重要影响。太湖富营养化程度较高,水温的影响作用日趋显著,物候与水温关系的研究对理解、控制和改善太湖生态系统具有重要意义。本研究利用2003—2018年MODIS遥感数据计算浮游植物物候指标和湖泊水表温度（Temperature of Water Surface,LSWT）,通过分析太湖浮游植物物候时空变化特点探究了不同区域的物候特征,并结合LSWT揭示了浮游植物物候对LSWT变化的响应关系。结果表明：① 不同浮游植物物候指标具有不同空间分布特点,水华发生次数、峰值叶绿素a（Chla）浓度和水华总持续时间呈现由西部沿岸向湖心区递减的趋势;浮游植物生长开始时间和峰值Chla发生时间分布复杂但在沿岸区域相对较早;② 太湖可被划分为4种具有不同物候特征的区域,Ⅰ类区域主要位于贡湖湾、东部沿岸以及太湖中部开阔水域,该区Chla浓度范围为50~60 μg/L,且波动平缓,水华发生次数最少、开始最晚、持续时间最短;Ⅱ类区域主要分布于太湖西部沿岸,Chla浓度范围为50~90 μg/L且变化剧烈,该区水华发生次数最多、开始最早、持续时间最长;Ⅲ和Ⅳ类属于过渡区域,前者主要分布于梅梁湾、竺山湾及入湾口,后者主要位于南部沿岸以及太湖中部;③ 浮游植物物候对LSWT变化的响应受营养水平影响,当营养水平较高时,浮游植物的生长受LSWT的促进作用显著,LSWT年际变化的升高趋势对浮游植生长物候提前、生物量增加的影响明显,反之,则LSWT变化对浮游植物生长的影响减弱。     

水井测温在地热普查中的应用

利用水井测温方法确定恒温层温度,以恒温层的温度值作为湖顶地热异常区的下限值,用内插法勾绘温度等值线图,高于该下限值范围的即为地热异常区。曹县庄寨地区的地热普查证明该方法是快速有效的。     

甘肃省森林、草原火灾定量判识方法研究

利用EOS/MODIS资料分析了2002年12月到2003年5月发生在甘肃省的6次草原、森林火灾的火区、火灾影响区及环境的亮温关系,结果表明:火区、火灾影响区及正常环境区在20通道与31通道的亮温存在近似的临界值,即(T20-T31)/T20<0.08的区域为正常环境区;0.08<(T20-T31)/T20<0.093的区域为火灾影响区;(T20-T31)/T20>0.093的区域为火区。同时此方法对"4.15"迭部森林火灾进行定量分析表明:此方法对火灾不同区域的判识及火灾面积的估算有很好的效果,为火灾监测及火灾面积的估算提供了一定的参考依据。