Design of agricultural insurance policy for tea tree freezing damage in Zhejiang Province, China

This paper proposes a method to design freezing damage policy-based agricultural insurance contracts for tea trees (an economic crop) in the Zhejiang Province of China, using a weather index. Data of economic losses caused by freezing damage, and the beginning dates of tea plucking (BDTP) from the Agricultural Bureau of each county in Zhejiang Province and tea planters, and meteorological observations were collected to establish the prediction model for BDTP, and to determine the relationship between economic loss rates caused by freezing damage at or before BDTP, and the minimum temperatures for “Wuniuzao,” “Longjing-43,” and “Jiukeng” teas. Based on the information diffusion theoretical model, occurrence probabilities of BDTP from 1 February to 20 April and lower temperatures at different levels are calculated. Then, the insurance premium rates of the three tea tree species can be estimated. Lastly, the tea tree freezing damage insurance contracts are designed, combining the advantages of regional yield-based index insurance and weather-based index insurance.     

Effects of climate change on annual streamflow using climate elasticity in Poyang Lake Basin, China

Hydrological processes depend directly on climate conditions [e.g., precipitation, potential evapotranspiration (PE)] based on the water balance. This paper examines streamflow datasets at four hydrological stations and meteorological observations at 79 weather stations to reveal the streamflow changes and underlying drivers in four typical watersheds (Meigang, Saitang, Gaosha, and Xiashan) within Poyang Lake Basin from 1961 to 2000. Most of the less than 90th percentile of daily streamflow in each watershed increases significantly at different rates. As an important indicator of the seasonal changes in the streamflow, CT (the timing of the mass center of the streamflow) in each watershed shows a negligible change. The annual streamflow in each watershed increases at different rates, with a statistically significant trend (at the 5 % level) of 9.87 and 7.72 mm year^?1, respectively, in Meigang and Gaosha watersheds. Given the existence of interactions between precipitation and PE, the original climate elasticity of streamflow can not reflect the relationship of streamflow with precipitation and PE effectively. We modify this method and find the modified climate elasticity to be more accurate and reasonable using the correlation analysis. The analyses from the modified climate elasticity in the four watersheds show that a 10 % increase (decrease) in precipitation will increase (decrease) the annual streamflow by 14.1–16.3 %, while a 10 % increase (decrease) in PE will decrease (increase) the annual streamflow by ?10.2 to ?2.1 %. In addition, the modified climate elasticity is applied to estimate the contribution of annual precipitation and PE to the increasing annual streamflow in each watershed over the past 40 years. Our result suggests that the percentage attribution of the increasing precipitation is more than 59 % and the decreasing in PE is less than 41 %, indicating that the increasing precipitation is the major driving factor for the annual streamflow increase for each watershed.     

Changes in pick beginning date and frost damage risk of tea tree in Longjing tea-producing area

We analyze the pick beginning date and frost damage risk trends of Jiukeng, Longjing-43, and Wuniuzao tea trees with time, using meteorological data from 12 station pairs over the period 1971–2010 in the Longjing tea-producing area. The pick beginning date of Jiukeng, Longjing-43, and Wuniuzao varieties had no statistically significant trends before 1990. The pick beginning date of Jiukeng variety had statistically significant decreasing trends after 1990, and there were no statistically significant trends in the start date after 1990 for Longjing-43 and Wuniuzao varieties. The average pick beginning dates of Longjing-43 and Wuniuzao varieties before 1990 are later than those after 1990 by 3.8–4.8 and 2.0–3.1 days, respectively. We used the trend of difference between beginning date of tea plucking (BDTP) and 0 °C terminal date to analyze frost damage risk trends. Eleven counties had no statistically significant frost damage risk trends for Jiukeng, Longjing-43, and Wuniuzao varieties, leaving only one county with statistically significant trends.     

华中区域气温变化的模拟评估及未来情景预估

利用WCRP的耦合模式比较计划-阶段3的多模式数据(CMIP3数据),模拟分析基于A2、A1B、B1排放情景下华中区域2011-2100年平均气温的可能变化,结果表明,模式模拟的结果可较好地反映出气温线性变化趋势.模拟冬季增温速率略高于夏季,但夏季增温速率与观测序列呈相反变化趋势;总体能模拟出华中区域气温线性趋势的空间分布特征,但模拟数值偏高.3种情景下21世纪末华中区域平均气温的增幅(相对于1961-1990年)分别为3.7、3.4、2.0℃.21世纪中叶前夏季增幅大于冬季,21世纪末冬季增幅大于夏季;两个时间段内春、秋季基本一致.     

一种空间数据接边入库方法

针对空间数据接边入库提出了一种新的方法,可有效改善传统方法效率低和质量不可控等问题。为提高接边处待合并要素的提取效率,根据当前数据要素总数和接边线总长度进行接边线最优分段处理;同时,为满足数据入库质量要求,采用网络分析技术对数据进行优化处理,删除接边处多余节点。实践表明,本文提出的方法可以兼顾空间数据接边入库的效率和质量,在保证质量的前提下节省了人力、物力和时间,在基础测绘和地理国情普查等数据的接边入库工作中发挥了重要作用。     

我国中部地区夏季干旱的多时间尺度特征及其环流、海温异常

基于CRU逐月降水和NCEP/NCAR再分析等资料,利用集合经验模态分解(Ensemble Empirical Mode Decomposition,EEMD)方法,分析1948—2016年中国中部地区夏季降水变化的多时间尺度特征及其对应的环流、海温异常,进而解释不同时期影响干旱发生的背景场有何不同。结果表明,中部地区夏季降水以年际变化为主,周期长度为3.8 a和6.9 a,年代际和多年代际变化的方差贡献不足20%。然而,各时间尺度降水变化对不同时期干旱事件的贡献存在较大差异,1960s、1970s,降水年际变化偏弱,相反地,多年代际变化正处于负位相的极小值期;1980s、1990s,多年代际变化位相转正;2000s初,年际变化明显增强。此外,通过分析不同时间尺度降水变化对应的环流、海温背景场,发现热带印度洋海温异常及其引起的西北太平洋副热带高压的变化、大西洋北部海温异常激发的纬向波列以及贝加尔湖地区的阻塞活动、1970s末PDO位相转变伴随的东亚夏季风突变是分别解释降水年际、年代际和多年代际变化的主要原因,进而揭示影响中部地区夏季干旱发生的关键因子及其相对重要性。     

淮海地区降水周期及突变特征分析

利用淮海地区1955—2004年23个气象站点的逐日降水资料,分析了淮海地区降水的主要周期振荡以及突变点,结果表明:该地区降水均有多个时间尺度的周期变化特征,降水周期变化显著,干湿交替现象明显;降水的年代际以及年际尺度的主要周期:年降水为12a、9a、5a,春季降水为14a、6a、3a,夏季为10a、4a,秋季为21a、10a、7a,冬季为18a、5a。年降水减少趋势明显,在1967年发生了突变,由相对多雨期转入相对少雨期;春季、夏季、秋季降水都有不同程度的减少趋势,而冬季降水则表现为增加的趋势。     

应用Penman公式对江西省太阳总辐射变化特征的探讨

利用1961～2000年赣州站、南昌站的年太阳总辐射与相关气象要素资料,结合Penman公式,运用6种计算净长波辐射的方法估算了两站的年太阳总辐射;建立了估算该地区年太阳总辐射的绝对误差权重法（Method of Absolute Errors,MAE）,并给出了适用于江西省的绝对误差权重系数,以此方法计算了江西省其他76站的年太阳总辐射;并分析了该地区年太阳总辐射的时空分布特征及其变化趋势,发现：（1）1961~2000年间,江西省大部分地区太阳总辐射在3800～4400 MJ·m-2·a-1;南部偏东地区较大,且存在有一大值中心;西部地区为江西省太阳总辐射最小的地区;（2）40年间,江西省年太阳总辐射呈明显下降趋势,每10年减少143.70 MJ·m-2。78站中,有63站的太阳总辐射的下降趋势通过了α=0.05的显著性检验,8站表现为上升趋势;江西省北部及南部地区太阳总辐射下降较大;中部地区下降相对较小,且在鄱阳湖东侧有一低值中心。     

Uncertainty in land surface temperature simulation over China by CMIP3/CMIP5 models

In this paper, China-based observations are used to evaluate the performance of 24 CMIP3 (phase 3 of the Coupled Model Intercomparison Project) and 10 CMIP5 models in simulating land surface temperature (LST). It is found that all models can generally reproduce the climatology patterns of LST averaged during the period from 1960 to 1999. Further analyses of the regional features of LST show that the discrepancies between the observations and the simulations are smaller in Southwest and East China. Moreover, these models overestimate the temperatures in almost all areas, particularly in July. Although many models have large biases relative to the observations, the spread of the model results is large (i.e., >22 °C in Northwest and Northeast China). For the interannual variations, neither the individual models nor the multi-model mean has a remarkable positive correlation to the observations in the selected subregions. However, most models can capture geographic features during trend evaluations. A multi-model ensemble is believed to be an effective way to limit uncertainties, but the results suggest that its efficiency is restricted to simulating the LST trend. Examination of the surface energy budget indicated that the modeled discrepancies of net shortwave radiation and surface sensible heat flux may be responsible for the LST results, especially in July. It is concluded that the ability of current models in simulating LST over China is still a significant challenge. The spread of the models is large in simulating the climatology, interannual variation, and trend of LSTs. In general, the magnitudes of the spread may be as large as the magnitudes of the observations. Additionally, it is found that multi-model ensembles do not simulate LST with any more skill. Therefore, more work must focus on the limitations of the models' uncertainties in land surface research.