多时间尺度下黑龙江省1980—2014年干湿演变特征及主导因子分析

利用黑龙江省1980—2014年28个气象台站常规观测资料,计算得到全省的相对湿润度指数。运用ArcGIS反距离权重空间插值法、趋势系数及相关分析法对全省作物生长季及各个季节干旱分布、干湿发展趋势及主要影响因素进行具体分析。结果表明:就相对湿润度指数年际分布而言,生长季干旱主要集中在2000—2010年,夏季和秋季干旱主要集中在1995年之后,春季干旱则在全时段均有发生,其中重旱和特旱居多;就相对湿润度指数变化趋势而言,春季全省整体呈微湿润化的趋势,冬季呈显著地湿润化发展趋势,其余时段则呈现干旱化发展,但不同时段空间差异显著;分析降雨量、潜在蒸散量与相对湿润度指数的相关系数发现,降雨量始终是黑龙江省生长季及各个季节相对湿润度指数变化的主导因子,但夏季潜在蒸散量的影响有所增加。     

径流量Z指数与Palmer指数对河西干旱的监测

利用河西内陆河水文代表站1959-2004年逐月径流量资料、内陆河流域灌溉区1949-2001年耕地面积及代表站1961-2005年的气象资料, 通过对径流量进行正态化处理来确定径流量Z指数, 并以径流量Z指数作为径流干旱指数, 对旱涝等级进行划分; 考虑径流量Z指数的旱涝等级与农业灌溉用水实际情况之间的关系, 给出了径流量Z指数的灌溉指标。将径流量转化为降水量, 改进Palmer旱度模式, 且在作改进后, 又将潜在蒸散量的计算法由利用桑斯威特公式改为利用彭曼公式。结果表明:将径流量考虑到Palmer干旱指数中并改变蒸散量的算法, 使得该指数对河西灌溉区干旱情况的监测均有所改善。对照河西地区的干旱事件, 径流量Z指数监测到的干旱情况, 比Palmer干旱指数改进前、后监测到的干旱情况效果更佳。径流量Z指数能更真实地反映河西灌溉区干旱状况。     

太平洋海温三极子对中国东北地区春玉米气候产量的影响

利用1949—2018年玉米产量数据、NCEP再分析资料、帕尔默干旱指数、标准化降水蒸散指数、土壤含水量和SST等, 分析了太平洋海温三极子对中国东北地区春玉米气候产量的影响。结果表明: 东北地区春玉米气候产量与收获当年1—5月的太平洋海温三极子存在显著相关, 太平洋海温三极子能够通过太平洋上空的遥相关型影响东北地区春玉米播种出苗期和全发育期的区域环流场, 进而影响区域降水、土壤含水量、帕尔默干旱指数和标准化降水蒸散指数等与东北地区春玉米气候产量密切相关的因子。当太平洋海温三极子增强时, 太平洋上空会形成类似Rossby波列结构的遥相关型, 在东北地区高空产生负涡度异常, 有利于上升气流的形成和降水的增加。太平洋海温三极子也有利于在低层形成从西北太平洋向东北地区的东南风异常, 通过水汽传输进一步增强东北区域降水。     

Observational evidence for the relationship between spring soil moisture and June rainfall over the Indian region

Understanding the relationship between gradually varying soil moisture (SM) conditions and monsoon rainfall anomalies is crucial for seasonal prediction. Though it is an important issue, very few studies in the past attempted to diagnose the linkages between the antecedent SM and Indian summer monsoon rainfall. This study examined the relationship between spring (April–May) SM and June rainfall using observed data during the period 1979–2010. The Empirical Orthogonal Function (EOF) analyses showed that the spring SM plays a significant role in June rainfall over the Central India (CI), South India (SI), and North East India (NEI) regions. The composite anomaly of the spring SM and June rainfall showed that excess (deficit) June rainfall over the CI was preceded by wet (dry) spring SM. The anomalies in surface-specific humidity, air temperature, and surface radiation fluxes also supported the existence of a positive SM-precipitation feedback over the CI. On the contrary, excess (deficit) June rainfall over the SI and NEI region were preceded by dry (wet) spring SM. The abnormal wet (dry) SM over the SI and NEI decreased (increased) the 2-m air temperature and increased (decreased) the surface pressure compared to the surrounding oceans which resulted in less (more) moisture transport from oceans to land (negative SM-precipitation feedback over the Indian monsoon region).     

Variability of droughts in the Czech Republic, 1881–2006

We analyze droughts in the Czech Republic from 1881–2006 based on the Palmer drought severity index (PDSI) and the Z-index using averaged national temperature and precipitation series for the calculations. The standardized precipitation index (SPI), PDSI and Z-index series show an increasing tendency towards longer and more intensive dry episodes in which, for example, droughts that occurred in the mid-1930s, late 1940s–early 1950s, late 1980s–early 1990s and early 2000s were the most severe. Cycles at periods of 3.4–3.5, 4.2–4.3, 5.0–5.1 and 15.4 years exceeded 95% confidence levels in application of maximum entropy spectral analysis. These are expressed at different intensities throughout the period studied. The occurrence of extremely dry and severely dry months is associated with a higher frequency of anticyclonic situations according to the classification employed by the Czech Hydrometeorological Institute. Principal component analysis documents the importance of the ridge from the Siberian High over Central Europe when extreme and severe droughts in months of the winter half-year are considered in terms of sea-level pressure. In the summer half-year, the ridge of the Azores High over Central Europe is the most important. Drought episodes have a profound effect on national and regional agricultural production, with yields being consistently lower than in normal years, as is documented through the example of spring barley, winter wheat, forage crops on arable land, and hay from meadows. Seasons with pronounced drought during the April–June period (e.g., 1947 and 2000) show the most significant yield decreases. Forests appear to be very vulnerable to long-term drought episodes, as it was the case during the dry years of 1992–1994. This study clearly confirms the statistically significant tendency to more intensive dry episodes in the region, driven by temperature increase and precipitation decrease, which has already been suggested in other studies.     

中国北方沙尘暴频数演化及其气候成因分析

利用地面气象观测资料 ,分析了中国北方 195 4～ 2 0 0 1年年、季沙尘暴发生日数的演变规律及其与风速、相对湿度、降水、气温和干燥度的相关关系。结果表明 ,中国北方沙尘暴发生日数在 195 4～ 2 0 0 1年呈波动下降的趋势 ,春季下降趋势最明显。沙尘源区的气候要素对北方沙尘暴发生日数具有比较明显的影响 ,其中风是影响较大的因子。平均风速和大风频率增加 (减少 )均有 (不 )利于沙尘暴天气的形成。气温与沙尘暴日数呈显著的反相关关系 ,反映了北方温度升高可能通过大气环流间接地抑制了沙尘暴的发生。降水增加对沙尘暴发生也有一定抑制作用 ,尤其春季和前冬沙尘源区降水多寡对沙尘暴的发生有着重要的影响。北方沙尘暴频数与沙尘源区的相对湿度或干燥指数也存在较明显的相关关系。在过去的近 5 0a内 ,造成中国北方沙尘暴频率显著下降趋势的直接自然原因是 :沙尘源区和发生区平均风速和大风日数的减少、主要沙尘源区降水量特别是春季和前冬降水量的增加、以及由于源区降水增加引起的大气和土壤湿润程度的改善。     

Boreal summer continental monsoon rainfall and hydroclimate anomalies associated with the Asian-Pacific Oscillation

With the twentieth century analysis data (1901–2002) for atmospheric circulation, precipitation, Palmer drought severity index, and sea surface temperature (SST), we show that the Asian-Pacific Oscillation (APO) during boreal summer is a major mode of the earth climate variation linking to global atmospheric circulation and hydroclimate anomalies, especially the Northern Hemisphere (NH) summer land monsoon. Associated with a positive APO phase are the warm troposphere over the Eurasian land and the relatively cool troposphere over the North Pacific, the North Atlantic, and the Indian Ocean. Such an amplified land–ocean thermal contrast between the Eurasian land and its adjacent oceans signifies a stronger than normal NH summer monsoon, with the strengthened southerly or southwesterly monsoon prevailing over tropical Africa, South Asia, and East Asia. A positive APO implies an enhanced summer monsoon rainfall over all major NH land monsoon regions: West Africa, South Asia, East Asia, and Mexico. Thus, APO is a sensible measure of the NH land monsoon rainfall intensity. Meanwhile, reduced precipitation appears over the arid and semiarid regions of northern Africa, the Middle East, and West Asia, manifesting the monsoon-desert coupling. On the other hand, surrounded by the cool troposphere over the North Pacific and North Atlantic, the extratropical North America has weakened low-level continental low and upper-level ridge, hence a deficient summer rainfall. Corresponding to a high APO index, the African and South Asian monsoon regions are wet and cool, the East Asian monsoon region is wet and hot, and the extratropical North America is dry and hot. Wet and dry climates correspond to wet and dry soil conditions, respectively. The APO is also associated with significant variations of SST in the entire Pacific and the extratropical North Atlantic during boreal summer, which resembles the Interdecadal Pacific Oscillation in SST. Of note is that the Pacific SST anomalies are not present throughout the year, rather, mainly occur in late spring, peak at late summer, and are nearly absent during boreal winter. The season-dependent APO–SST relationship and the origin of the APO remain elusive.     

1959-2003年青海省干湿变化分析

利用青海省1959-2003年气象资料,计算了修正的Palmer干旱指数,并对其进行了分析。结果表明：在青海省旱涝监测中,PDSI指数反映旱涝程度更为客观;青海省的干旱主要以轻旱为主;夏秋季年际干湿交替较冬春季频繁,变化振幅也较大;秋季青海省干旱化倾向最为严重,冬春季出现轻旱几率最大。另外,春季干旱总面积在减小;夏季轻旱面积增加,而中旱、重旱面积在减小;秋冬季重旱面积在增加。     

甘肃河东春旱的气候特征分析及预测模型

利用河东 1968～ 1995年 55站的春季降水、气温资料 ,计算了春季干湿指数 ,划分了春旱标准 ,分析了其时空分布特征和变化规律 ,用REOF方法对旬降水量进行了分解 ,在气候分区的基础上 ,建立了河东春旱的均生函数预测模型     

1981-2012年辽宁省春播期土壤相对湿度月尺度数据重建

辽宁省现有测站春播期土壤相对湿度数据存在不连续性及长时间序列缺失问题。以海城站为例,分析现有土壤相对湿度（0-20 cm）与气象因子及临近站点土壤相对湿度的相关关系,构建海城春播期土壤相对湿度统计回归模型,模拟缺测时段春播期土壤相对湿度。进而以此方法重建辽宁省20个观测站1981-2012年春播期土壤相对湿度月尺度数据。结果表明：海城土壤相对湿度与降水量和秋季封冻雨关联较大,相关系数分别超过0.60和0.30,与同期临近站点本溪站土壤相对湿度相关性也超过0.40,依据该3要素构建的4月和5月土壤相湿度统计回归模型复相关系数R2分别达0.79和0.77,模拟结果与实测资料平均相对误差为2.6 %,模拟效果较好;对辽宁省其他数据缺失站点构建的回归模型复相关系数均高于0.50,模型拟合精度优于85 %,拟合值和实测值平均相对误差基本控制在15 %以内,较好完成辽宁省20个测站1981-2012年春播期土壤相对湿度月尺度数据重建。