四川盆地东部再生稻高温伏旱区腋芽萌发期气象适宜度

以四川盆地东部再生稻高温伏旱区为研究区,基于气象条件对腋芽萌发期再生稻生长发育的影响机理,采用结构方程模型探明了腋芽萌发的影响因素、影响路径及影响强度。进一步结合隶属函数和层次分析法,构建了再生稻腋芽萌发气象适宜度模型,并分析了1981—2021年研究区腋芽萌发期气象影响因素及气象适宜度的变化特征。结果表明：气温、空气湿度、降水是四川盆地东部再生稻高温伏旱区腋芽萌发的关键影响因素,基于以上因素的气象适宜度模型能较好地评价再生稻腋芽萌发期的气象影响。1981—2021年研究区气温适宜度、空气湿度适宜度及综合气象适宜度均呈下降趋势,降水适宜度没有表现出明显的变化趋势。气温适宜度、空气湿度适宜度及综合气象适宜度总体呈“西高东低”的空间分布特征,降水适宜度则表现为“东西高、中部低”。1981—2021年研究区气温上升趋势与空气湿度下降趋势显著,导致致害高温（日平均气温≥32℃）积温和致害低湿（日平均相对湿度≤65％）日数明显增加,这是再生稻腋芽萌发期气象适宜度总体呈下降趋势的诱因。     

高光谱遥感在农作物长势监测中的应用

该研究是加拿大Saskatchewan Scott农作物轮作系统(ACS)研究的一部分.研究始于1994年,历时18 a,评价9个可耕种农作物产量系统的可靠性.由3种处理水平(organic,reduced,high)和3种作物多样性水平(low,diversified annual grains,diversified annual perennials)结合而产生的9个农作物产量系统,被用于监测和评价加拿大牧场不同处理和不同作物种植轮作下可耕种农作物的产量.在2003年生长季共收集了3次叶面积指数和光谱反射率的数据:生长季前期(6月)、生长季旺盛期(7月)、生长季后期(8月).叶面积指数是由LAI-2000植物冠层分析仪监测的,光谱测量是由覆盖了350～2500 nm波长范围共2215个波段的ADS便携式高光谱仪完成的.结果显示,光学测量可以用于监测农作物生长状况的差异.从生长季的早期到中期,光谱和叶面积指数在不同处理下有显著差异.7月中期是用遥感资料监测农作物长势的最佳季节;红光波段与近红外波段反射率的比值和基于这两个波段构造的归一化植被指数,是检测农作物长势的最佳植被指数.     

1961-2018年西南地区夏季干旱变化特征及其与环流异常的联系

利用1961—2018年中国西南地区312站降水观测资料、NCEP/NCAR再分析资料及海表温度资料,采用夏季SPI(Standardized Precipitation Index)指数作为干旱指数,研究了西南地区夏季干旱变化特征及其与环流异常的联系。结果表明:西南地区夏季总体呈现变干趋势,尤其在云南、四川东南部干旱化趋势显著。当西南地区夏季显著干旱时,该地区对流层低层辐散、上层辐合,且向该地区的水汽输送偏少。造成西南地区干旱维持的原因可归结为大气波动活动异常和海温异常强迫。前者通过西风带扰动向下游的能量频散,为西南地区低层辐散、上层辐合的环流异常的形成和维持提供了必要的扰动能量积聚;后者通过热带西北太平洋异常热源对大气的强迫,使得该地区对流层低层(上层)形成异常辐合(辐散),在西南地区和热带西北太平洋形成了斜向垂直环流,使西南地区受下沉气流控制,从而形成了利于降水显著偏少和干旱发生并维持的条件。     

对IPCC第六次评估报告中有关干旱变化的解读

政府间气候变化专门委员会（IPCC）于2021年8月发布了第六次评估报告（AR6）自然科学基础卷的决策者摘要,主要对自2013年第五次评估报告（AR5）以来的气候变化科学研究进展进行了系统的评估,并使用新一代气候模式在新的共享社会经济路径情景下对未来气候变化进行了预估。本文基于AR5和AR6相关章节素材,解读了干旱变化的评估结论。     

关于复合型极端事件的新认识和启示

近年来,极端天气气候事件频繁发生,且常常表现为多种事件交织形成的复合型极端事件。为了更好地认识复合型极端事件,IPCC AR6基于现有的新证据评估了复合型极端事件的最新研究成果,并取得一些新认识：扩展了有关复合型极端事件的定义,重点围绕高温干旱复合型极端事件、复合洪水和野火,评估了复合型极端事件的变化特征,探讨了复合型极端事件多因子之间的依赖性,对人类活动的影响进行了归因分析并给出了未来可能的变化。这些评估结果丰富了对复合型极端事件的基本认识。但根据现有的评估可以发现,目前在复合型极端事件发生发展机理认识方面还存在不足;同时,未来仍需进一步完善跨学科跨部门跨区域研究,加强对复合型极端事件形成机理、预估及其对生态系统,经济社会影响风险的评估,提高对区域气候变化的适应能力。     

温度植被干旱指数(TVDI)在复杂山区干旱监测的应用研究

对地观测卫星(EOS)中分辨率成像光谱仪(MODIS)传感器因具有高时间分辨率、高光谱分辨率、适中的空间分辨率等特点,非常适合大范围、长时期、动态的干旱监测。本文选取云南省红河州地区为研究对象,利用MODIS植被指数和陆地表面温度产0品建立高原多山地区NDVI- T_s空间,并由此建立了复杂山区的温度植被干旱指数(TVDI)。利用该方法检测2006年3、4两个月的云南省红河地区的地表干旱情况,同时结合当地气象局信息和野外同步观测的表层土壤温度、湿度数据对该指标进行定量验证,结果表明,TVDI与土壤湿度显著相关,该方法可以用来对大区域干旱进行检测,能很好的用于山区的干旱预警与监测。     

Hydrological responses to climatic variability in a cold agricultural region

Extended severe dry and wet periods are frequently observed in the northern continental climate of the Canadian Prairies. Prairie streamflow is mainly driven by spring snowmelt of the winter snowpack, whilst summer rainfall is an important control on evapotranspiration and thus seasonality affects the hydrological response to drought and wet periods in complex ways. A field‐tested physically based model was used to investigate the influences of climatic variability on hydrological processes in this region. The model was set up to resolve agricultural fields and to include key cold regions processes. It was parameterized from local and regional measurements without calibration and run for the South Tobacco Creek basin in southern Manitoba, Canada. The model was tested against snow depth and streamflow observations at multiple scales and performed well enough to explore the impacts of wet and dry periods on hydrological processes governing the basin scale hydrological response. Four hydro‐climatic patterns with distinctive climatic seasonality and runoff responses were identified from differing combinations of wet/dry winter and summer seasons. Water balance analyses of these patterns identified substantive multiyear subsurface soil moisture storage depletion during drought (2001–2005) and recharge during a subsequent wet period (2009–2011). The fractional percentage of heavy rainfall days was a useful metric to explain the contrasting runoff volumes between dry and wet summers. Finally, a comparison of modeling approaches highlights the importance of antecedent fall soil moisture, ice lens formation during the snowmelt period, and peak snow water equivalent in simulating snowmelt runoff.     

Variability of temperature,salinity and tidally‐averaged density in the middle estuary of the St Lawrence

Abstract

Surveys in the Middle Estuary of the St Lawrence have yielded a data base consisting of more than 15,000 T‐S pairs distributed over 62 13‐h profiling stations. Although the T‐S curves at each station are remarkably linear, the variability of the slopes and intercepts of the lines is considerable. The means and standard deviations of the temperature and salinity at each individual station are not explicable in terms of linear combinations of the parameters for location in the Estuary, the upstream water properties, the phase of the spring‐neap cycle and the tidal energies.

It is shown that the tidally‐averaged density structure is separable into horizontal and vertical components and that its vertical variation over the whole Estuary may be explained by any one of three different functional forms. However, its horizontal variation is not explicable in terms of linear combinations of the parameters mentioned in the paragraph above.

Plots of the horizontal variations in temperature, salinity or density may only be meaningful if the data are collected synoptically, and even then cannot be considered to be accurate over time‐scales longer than one tidal cycle.     

Investigation into the daily precipitation variability in the Yangtze River Delta,China

In this article, by using the daily precipitation data measured at 58 meteorological stations, spatial and temporal variability of daily precipitation including zero rainfall values (called “precipitation”) and without zero rainfall values (called “rain”) and four precipitation extrema (P₀, P₂₀, P₅₀, and P₁₀₀ representing the daily precipitation with the magnitude smaller than 0.1 mm, bigger than 20 mm, 50 mm, and 100 mm per day, respectively) in the Yangtze River Delta (YRD) during 1958–2007 were analyzed, and the effects of urbanization were further investigated. Results indicate that (i) differing from the downward trends in 1958–1985, daily precipitation and rain in 1986–2007 show slowly downward trends in the mid YRD but show upward trends in the northern and southern YRD. (ii) Spatial and temporal variability of the rain is more complex than daily precipitation. Both of them become smaller but show more obvious fluctuations in 1986–2007. (iii) Urbanizations cause not only the urban rainfall island problem but also more obvious fluctuations of rain intensity in the mid YRD, reflecting more uncertainty of daily precipitation variability. (iv) Urbanizations have little effects on the variability of P₀ and P₁₀₀ but cause notable increases of P₂₀ and P₅₀. (v) The spatial variability of daily precipitation and precipitation extrema in 1958–1985 clearly shows a breakpoint at 30°20′N latitude, but the breakpoint disappears afterward because of the effects of urbanization. Copyright © 2012 John Wiley & Sons, Ltd.