资料均一化对沈阳站气温趋势和城市化偏差分析的影响

利用国家气象信息中心2013年发布的逐日均一化气温资料,对沈阳站资料均一化处理前后平均气温和极端气温指数序列的线性趋势及其城市化影响偏差进行了比较评价。结果表明:1)资料均一化处理对日最高气温及其衍生的极端气温指数序列趋势估计的影响较弱,但对日最低气温及其衍生的极端气温指数序列趋势估计具有显著影响。2)经资料均一化处理后,平均气温序列中的城市化影响偏差有所增大,平均最低气温序列中的城市化影响偏差增大尤其明显;与冷事件有关的极端气温指数序列的城市化影响偏差数值有所减小,与暖事件有关的极端气温指数序列的城市化影响偏差数值有所增加。3)资料均一化处理有效纠正了因迁站等原因造成的地面气温观测记录中的非均一性,但却在很大程度上还原了城市站地面气温观测记录中的城市化影响偏差。     

基于随机集合的非传统型有效波极值模型

The analysis and design of offshore structures necessitates the consideration of wave loads. Realistic modeling of wave loads is particularly important to ensure reliable performance of these structures. Among the available methods for the modeling of the extreme significant wave height on a statistical basis, the peak over threshold method has attracted most attention. This method employs Poisson process to character- ize time-varying properties in the parameters of an extreme value distribution. In this paper, the peak over threshold method is reviewed and extended to account for subjectivity in the modeling. The freedom in selecting the threshold and the time span to separate extremes from the original time series data is incorpo- rated as imprecision in the model. This leads to an extension from random variables to random sets in the probabilistic model for the extreme significant wave height. The extended model is also applied to different periods of the sampled data to evaluate the significance of the climatic conditions on the uncertainties of the parameters.     

Trends in Canadian Short‐Duration Extreme Rainfall: Including an Intensity–Duration–Frequency Perspective

Short-duration (5 minutes to 24 hours) rainfall extremes are important for a number of purposes, including engineering infrastructure design, because they represent the different meteorological scales of extreme rainfall events. Both single location and regional analyses of the changes in short-duration extreme rainfall amounts across Canada, as observed by tipping bucket rain gauges from 1965 to 2005, are presented. The single station analysis shows a general lack of a detectable trend signal, at the 5% significance level, because of the large variability and the relatively short period of record of the extreme short-duration rainfall amounts. The single station 30-minute to 24-hour durations show that, on average, 4% of the total number of stations have statistically significant increasing amounts of rainfall, whereas 1.6% of the cases have significantly decreasing amounts. However, regional spatial patterns are apparent in the single station trend results. Thus, for the same durations regional trends are presented by grouping the single station trend statistics across Canada. This regional trend analysis shows that at least two-thirds of the regions across Canada have increasing trends in extreme rainfall amounts, with up to 33% being significant (depending on location and duration). Both the southwest and the east (Newfoundland) coastal regions generally show significant increasing regional trends for 1- and 2-hour extreme rainfall durations. For the shortest durations of 5–15 minutes, the general overall regional trends in the extreme amounts are more variable, with increasing and decreasing trends occurring with similar frequency; however, there is no evidence of statistically significant decreasing regional trends in extreme rainfall amounts. The decreasing regional trends for the 5- to 15-minute duration amounts tend to be located in the St. Lawrence region of southern Quebec and in the Atlantic provinces. Additional analysis using criteria specified for traditional water management practice (e.g., Intensity-Duration-Frequency (IDF)) shows that fewer than 5.6% and 3.4% of the stations have significant increasing and decreasing trends, respectively, in extreme annual maximum single location observation amounts. This indicates that at most locations across Canada the traditional single station IDF assumption that historical extreme rainfall observations are stationary (in terms of the mean) over the period of record for an individual station is not violated. However, the trend information is still useful complementary information that can be considered for water management purposes, especially in terms of regional analysis.     

全球降水观测计划多卫星联合反演降水产品的极端降水监测潜力研究

基于全国自动站与CMORPH融合降水数据集,综合评估全球降水计划（GPM）下的IMERG与GSMaP的4套纯卫星降水数据,从极端降水指标、极端降水事件探测能力、对于不同历时的极端降水事件精度评估3个方面研究纯卫星降水产品监测极端降水的能力。依据极端降水的阈值将研究区分为3个区域进行研究,结果表明：（1）在RX1指标中,IMERG、GSMaP数据均在受季风影响的复杂地形区域呈现出明显的高估状态,在其余地区存在不同程度的低估现象;在R95pTOT指标中,卫星数据均表现较好,与地面参考数据具有较高的相关性。（2）在极端降水事件探测方面,4套纯卫星产品在东北地区的表现均优于其他区域;GSMaP表现优于IMERG数据,具有较低的误报率,但对极端降水的反演精度较低。（3）在不同历时的极端降水事件精度评估中,IMERG、GSMaP卫星降水产品在历时较长的极端降水事件中的表现较好,具有更高的精度;对于极端日降水事件,卫星降水产品在高雨强下的误差显著性十分明显,远远高于复杂地形对卫星降水反演精度的影响,导致卫星降水在复杂地形区域（Ⅲ区）的表现优于其他区域。总体上,IMERG产品在研究区对极端降水的监测能力优于GSMaP产品,其中又以IMERG_Late表现最佳;4套卫星降水产品均能表现出研究区的极端降水区域特征,但在研究区大部分区域呈现出低估状态,卫星降水产品对于雨强的误差订正仍是未来极端降水反演的重点与难点之一。     

Mobilization and redistribution of elements in soils developed from extreme weathering basalt on Hainan Island

Major, trace and organic elements of a South China were reported to investigate elements laterite profile developed on Neogene basalt on Hainan Island, mobilization and redistribution in tropical regions. The results indicate that strong acid environment and organic matter （OM） can remarkably improve the transfer of insoluble elements. Among all the elements, Th is the least mobile. As for the general conservative elements during incipient chemical weathering, such as Ti, Zr, Hf and Nb, the removals are up to 30%-40% in the upper profile. And for Fe, A1, Cu and Ni, that tend to be combined with secondary minerals and to be retained in temperate zone, they are re- moved from the upper profile, transferred downwards, and then precipitated in the lower profile. In addition, atmos- pheric inputs, including sea salt aerosols and dust, have a profound effect on the budgets of elements that are susceptible to leaching losses （e.g. K, Na and Sr）. Excluding the possibilities of groundwater and erosion, the remarkable increase of K, Na and Sr concentrations in the upper profile, together with dramatically upward increasing trends of the percentage changes of Sr/Th, K/Th and Na/Th ratios, show that atmospheric inputs, especially sea salt aerosols, contribute much extraneous seawater derived elements, such as K, Na and Sr to the soils. The overall elemental be- haviors in this profile suggest that organic matter and atmospheric inputs play a very important role in the mobiliza- tion and redistribution of elements during extreme weathering in tropical regions.     

雅鲁藏布江流域降水时空变化特征

雅鲁藏布江流域是全球气候变化的敏感区,该流域降水变化对青藏高原的水系统、生态系统和山地灾害系统的演变具有重要影响。本文通过流域水文分析,将雅鲁藏布江流域的三大水资源区细分为9个分区。基于雅鲁藏布江流域1979—2018年降水数据,综合分析了雅鲁藏布江流域及9个分区的年、干湿季、月降水量以及日、小时尺度极端降水的时空变化特征,探讨了降水和典型大尺度大气环流因子的相关性。结果表明：① 1979—2018年间,在流域尺度上,各时间尺度降水整体上均呈上升趋势。其中,年降水量上升趋势最大,为2.5 mm·a^-1;年、干湿季降水量以及典型小时尺度极端降水（Rx3hour、Rx12hour）均在95%信度水平下显著上升。在水资源分区尺度上,各分区不同时间尺度降水的变化趋势呈现更明显的非一致性,所有分区除小时尺度极端降水均呈上升趋势外,其余时间尺度降水的趋势变化方向各异。② 雅鲁藏布江流域降水存在明显的空间分异性,且降水空间分异性会随着降水指标时间尺度的缩短而增强。各时间尺度降水整体上均呈现出自东部向西部逐渐减少的趋势,流域东南部（分区Ⅲ-2）始终是高值中心,流域中西部（分区Ⅰ-2、Ⅱ-1）存在区域性高值中心。③ 北半球副热带高压和北半球极涡对雅鲁藏布江流域降水变化具有显著影响。研究结果有助于掌握当地降水的多尺度变化特征,可为雅鲁藏布江流域和青藏高原地区的水循环研究、水资源开发利用和山洪灾害防治等提供科学基础。     

1637—1643年华北地区极端干旱事件中的粮食危机

粮食作为自然生态系统与社会经济系统的关联点,能够有效地揭示极端干旱事件对自然-经济-社会复合生态系统影响的过程和机理。以粮价异动为切入点,通过粮价通胀指数和“无透雨”的持续时间,分析农业旱情及其对粮食生产的影响,对1637—1643年华北地区极端干旱事件中的粮食安全进行深入剖析。结果显示:华北地区无透雨天数超过150 d,年降水量与5—9月降水量的距平值均≤-30%,水分异常短缺,土壤严重失墒,危及粮食生产安全。因此,降水量距平值≤-30%是华北地区粮食生产安全的临界阈值。此次极端干旱事件是历史同类事件之最,连续无透雨日数最长,地表径流枯竭记录最多,水资源的短缺导致伴生灾害相继发生,超过生态系统的忍耐极限,粮食生长期缩短,减产歉收,绝产绝收,粮食供给链条断裂。粮价通胀指数最低9.50,最高26.70;货币发行与粮食供给失衡,通货膨胀严重,粮价飞涨,市场倒闭,粮食安全体系崩塌,自然-经济-社会复合生态系统发生质变成为历史必然。     

我国东南沿海午后短时降水极端峰值强度与湿度和地表气温的关联

利用中国东南沿海地区55个站点的逐时降水、日平均地面温湿场、低空气温露点差及OISST海表温度资料,对午后短时降水的极端峰值强度与湿度和地表气温的关联进行分析。结果表明,东南沿海地区午后短时降水极端峰值强度随气温的变化趋势存在明显变化,日最高气温低于29℃时,峰值强度随气温升高而上升;日最高气温高于29℃时,峰值强度随气温升高而下降。分析水汽条件作用发现,峰值强度在高温条件下随气温的升高而下降的现象与相对湿度变化有关,日最高气温较高时,相对湿度随气温的升高而大幅减小。初步分析可知,当陆地达到较高温度并进一步增温时,附近海域海表温度变化不大,使得洋面水汽含量增加较少。在陆地水汽主要来自于海洋的情况下,伴随陆地的进一步升温,地表相对湿度将减小。     

Lake Ladoga ice phenology: Mean condition and extremes during the last 65 years

Winter conditions play an important role for the largest lake in Europe—Lake Ladoga. The ice cover lasts for 171 ± 3 days on average from the early November until the mid‐May. We investigated the ice regime of Lake Ladoga using a constructed ice database of aircraft surveys and satellite images. More than 1250 surveys of the lake's ice cover from 1943 to 2010 were collected and analysed to determine mean and extreme ice conditions for winters of different types of severity. The time series of ice cover percentage over the lake was plotted. On average, 18 observational ice charts were made every winter. Individual ice phenology records show considerable year‐to‐year variation. For this reason, records typically have been combined and analysed as groups (categories). Extremely cold winters were determined as winters with complete ice cover that lasts more than three months which is approximately 90% quartiles from all winters with complete ice cover. The lake surface was completely covered with ice for more than three months during 5 seasons. Extremely warm winters when the maximum ice cover was less than 70% of the lake area occurred during 5 seasons as well. A basic relationship between the winter severity as winter maximum of accumulated freezing degree‐days (AFDD) and the earlier derived Relative Ice Cover Index (RICI) was established. We have used teleconnection indices such as North Atlantic Oscillations (NAO) and Arctic Oscillation (AO) for the period from October to May for estimation of different types of Lake Ladoga's ice conditions. The AO index in winter months and local winter maximum of AFDD explained much of the interannual variation in ice cover. Copyright © 2011 John Wiley & Sons, Ltd.