Evaluating the vegetation growing season changes in the arid region of northwestern China

Temperature has long been accepted as the major controlling factor in determining vegetation phenology in the middle and higher latitudes. The influence of water availability is often overlooked even in arid and semi-arid environments. We compared vegetation phenology metrics derived from both in situ temperature and satellite-based normalized difference vegetation index (NDVI) observations from 1982 to 2006 by an example of the arid region of northwestern China. From the satellite-based results, it was found the start of the growing season (SOS) advanced by 0.37 days year^?1 and the end of the growing season (EOS) delayed by 0.61 days year^?1 in Southern Xinjiang over 25 years. In the Tianshan Mountains, the SOS advanced by 0.35 days year^?1 and the EOS delayed by 0.31 days year^?1. There were almost no changes in Northern Xinjiang. Compared with satellite-based results, those estimates based on temperature contain less details of spatial variability of vegetation phenology. Interestingly, they show different and at times reversed spatial patterns from the satellite results arising from water limitation. Phenology metrics derived from temperature and NDVI conclude that water limitation of onset of the growing season is more severe than the cessation. Phenology spatial patterns of four oases in Southern Xingjiang show that, on average, there is a delay of the SOS of 1.6 days/10 km of distance from the mountain outlet stations. Our results underline the importance of water availability in determining the vegetation phenology in arid regions and can lead to important consequences in interpreting the possible change of vegetation phenology with climate.     

基于Hurst指数的黑龙江省作物生长季降水趋势研究

基于黑龙江省78个气象站1971—2016年逐日降水资料,综合采用墨西哥帽小波分析、Hurst指数分析等方法,对黑龙江省作物生长季(5—9月)降水量变化和未来趋势进行分析及预测。结果表明:1971—2016年,黑龙江省生长季、5月、6月降水量存在7 a、14 a、7 a左右的主周期,7月、8月、9月降水量存在2 a、3 a、7 a左右的第1主周期及6 a、11 a、21 a左右的第2主周期,各月均存在最近几年降水偏多的趋势;作物生长季降水量年际间为波动式振荡变化,7月、8月振荡幅度相对较大。年代际变化总体存在增加—减少—增加趋势,20世纪80年代、90年代降水量普遍偏多,2010年以来出现急转升高变化;单站各月Hurst指数均在0.5以上,降水存在比较明显的赫斯特现象;降水主要出现在夏季且以7月最为集中,最近几年降水偏多、7月异常降水集中以及主要流域未来7月降水的持续增加趋势在农业防灾减灾上值得关注。     

Spatial variability in UV radiation during the growing season across the continental USA

Summary ?A major limitation in predicting the ultraviolet-B irradiance on humans, plant leaves and flowers and aquatic organisms is the difficulty in estimating exposure. This study analyzes the spatial variability in the daily exposure of narrow band 300 nm and 368 nm and broadband 290–315 nm (UVB) solar radiation between twelve paired locations in the United States Department of Agriculture (USDA) UVB Climate Network over two summer growing seasons (May through August of 2000 and 2001). The spatial correlation of the UVB, 300 nm and 368 nm daily exposures between locations was approximately 0.7 to 0.8 for spacing distances of 100 km. The 300 nm daily exposure was typically more highly correlated between locations than the 368 nm daily exposure. Both the diffuse and direct beam components to the 300 nm daily exposure were similarly correlated with distance between locations. The 368 nm diffuse component of the daily exposures was less correlated with distance than the direct beam component, limiting the ability to interpolate daily exposures from measurement locations. In general the variability in daily exposures of UVB in the USDA UVB Climate Network is too large to interpolate daily exposures of solar radiation, with estimated 300 nm, 368 nm and broadband UVB errors at one-half the mean station spacing of the USDA Network of 22%, 21% and 16% respectively. More accurate interpolations of UVB exposure from this network will require either the incorporation of cloud cover variability from satellite imagery for daily exposure or the use of longer periods of accumulated exposure. Received May 14, 2002; revised October 25, 2002; accepted November 16, 2002     

Regional variability of convection over northern India during the pre-monsoon season

In general, the overall differences in activity and timing of convection are a result of the influence of large-scale regional and synoptic flow patterns on the local mesoscale environment. The linkage between the space?Ctime variability of observed clouds and rainfall, with large-scale circulation patterns and mesoscale variables over north India during the pre-monsoon season (March to May) is the focus of this paper. We use harmonic analysis to identify the first hour of rainfall for 42 stations spread over the north Indian region during the pre-monsoon summer season (March to May), from 1980 to 2000. The variability is observed to be systematic, with large regions having similar timing for occurrence of rainfall. The stations located in the foothills of the Himalayas have a late night to early morning maximum of first hour rainfall. In the northwestern plains, the first hour of rainfall mostly starts in the early afternoon to evening hours. Further eastward, the rainfall occurs in the late evening hours. Overall, there is a gradient in the occurrence of first rainfall events from late afternoon hours in the southern sections of the north Indian region to nocturnal maxima in the higher altitude regions. Five of these stations, located in different regions of homogenous timing of rainfall occurrence, were selected to analyze in detail the variable trigger for convection. Our results indicate that convective episodes occur mostly in association with the passage of westerly troughs over this region. These upper atmosphere troughs enable moisture to flow from the surrounding oceanic regions to the dry inland regions and also provide some dynamic support to the episodes of convection. However, the actual occurrence of convection is triggered by local factors, giving rise to the mesoscale structure of the weather systems during this season. Specifically, over the plains of northwest India, convection is triggered in a moistened environment by diurnal solar heating. The late night to early morning convection over the foothills is triggered by the orography, when the moistened airflow is normally incident on the mountain slopes. Further eastward, the primary trigger for localized moist convection is downdrafts from south-eastward propagating convective systems that originate at a north?Csouth dry line over north India. These systems propagate with a speed of about 15?m?s^?1. The above results are supported by geostationary satellite brightness temperature data for March to May 2008.     

A method of forecasting the heavy convective precipitation zones during the cold season

A method of forecasting the heavy convective precipitation zones is based on the computation of the Q-vector divergence and moist equivalent-potential vorticity in the layer from 925 to 700 hPa. The prognostic fields of meteorological parameters from NWP models in GRIB or GRIB2 codes are used for the computation. Presented are the results of the statistical analysis. The coefficients of linear regression are computed and the working equation for forecasting heavy convective precipitation zones during the cold season is derived. Analyzed are some heavy snowfalls in the central region of the European part of Russia.     

Fluctuations in the length of the growing season in Minnesota

Fluctuations in growing season length and in the dates of the last spring freeze and first fall freeze between 1899 and 1982 were studied for five rural Minnesota stations with long, high quality records. A general increase in growing season length was found, but there was substantial variation in the pattern of fluctuations among the stations. The increase in growing season length is not clearly and uniformly related to changes in the dates of first and last freezes. The interannual variability of growing season duration is on the order of the increase in duration so that the change would not be readily apparent to a casual observer. Our results do not correspond well with certain other studies of growing season length nor with fluctuations in hemispheric mean temperature. We conclude that extreme care must be used in extrapolating results of growing season length studies in space and in relating them to mean temperature fluctuations.     

2021年贵州省粮油作物生长季 农业气候评价

为了评估2021粮油作物生长季内气象条件对农业生产的影响,根据贵州84个观测站的气温、降水、日照3个气象要素的变化特点,结合作物生物学特性对气象的要求,并与历史同期气象条件进行对比,结论为：（1）夏收粮油农业气象条件利弊相当,属于正常气候年景：生长季内光热条件适宜;出苗期受秋绵雨影响,苗情偏弱;关键生育期前期,光温水匹配良好,利于产量形成,后期受两个旬的低温阴雨寡照天气影响,不利于灌浆,随后天气转好,作物恢复生长,气象条件有利于收获晾晒。（2）秋粮作物农业气象条件利大于弊,属于较好气候年景：生长季内光温水匹配良好,作物生长后期气象条件优于生长前期;营养生长期受2次低温阴雨寡照天气影响,苗情略偏弱,随后天气转好,生殖生长期光温充足,夏旱偏轻发生,利于秋粮作物生长发育和单产提升。     

巴楚县冬小麦生育期气温变化及其对小麦产量的影响

利用新疆巴楚气象站1984—2013年逐日气象资料,运用线性回归、趋势系数、异常度、Mann-Kendall突变检验等方法,分析了巴楚县多时间尺度气温的变化特征对冬小麦生长发育和产量的影响。结果表明:近30 a巴楚县冬季、春季平均气温均呈上升趋势,其中春季平均气温上升趋势显著,并于1998年发生了增暖性突变;寒冷日和酷冷日数均呈减少趋势,其中寒冷日数在1996年发生了减少性突变;稳定通过0℃界限温度的初日表现为提前、终日表现为推迟,持续日数则相应表现为增加趋势;日最高气温≥30℃日数呈增加趋势;冬小麦生长季内前期气温偏低,后期气温偏高是影响小麦产量的主要气候因子,其中抽穗、开花期的平均气温与小麦产量显著相关。     

Asymmetric changes of photosynthetically active radiation and light utilization efficiency during the maize growing season in North China

Theoretical and Applied Climatology - Global solar radiation has exhibited complicated changes with significant temporal and regional variations, while greater crop light utilization efficiency...     

2008年华南前汛期致洪暴雨特征及其对比分析

着重对2008年华南前汛期持续性致洪暴雨的降水特征及成因进行了天气尺度的研究,并且对比分析了其与20世纪90年代以来华南前汛期洪灾较为严重的几年(1994、1998和2005年)的降水和环流场特征异同,主要得到以下结果:(1)根据影响系统和雨区分布的不同,将2008年华南前汛期降水过程分为4个阶段.第1阶段(5月26-...     

Projections of the advance in the start of the growing season during the 21st century based on CMIP5 simulations

It is well-known that global warming due to anthropogenic atmospheric greenhouse effects advanced the start of the vegetation growing season(SOS) across the globe during the 20 th century. Projections of further changes in the SOS for the 21 st century under certain emissions scenarios(Representative Concentration Pathways, RCPs) are useful for improving understanding of the consequences of global warming. In this study, we first evaluate a linear relationship between the SOS(defined using the normalized difference vegetation index) and the April temperature for most land areas of the Northern Hemisphere for 1982–2008. Based on this relationship and the ensemble projection of April temperature under RCPs from the latest state-of-the-art global coupled climate models, we show the possible changes in the SOS for most of the land areas of the Northern Hemisphere during the 21 st century. By around 2040–59, the SOS will have advanced by-4.7 days under RCP2.6,-8.4 days under RCP4.5, and-10.1 days under RCP8.5, relative to 1985–2004. By 2080–99, it will have advanced by-4.3 days under RCP2.6,-11.3 days under RCP4.5, and-21.6 days under RCP8.5. The geographic pattern of SOS advance is considerably dependent on that of the temperature sensitivity of the SOS. The larger the temperature sensitivity,the larger the date-shift-rate of the SOS.     

近40年广西右江河谷甘蔗生长季干旱时空特征

利用百色、田阳、田东和平果气象观测站1971~2013a历年实测的逐日降水量资料以及平果站1990~2013a甘蔗发育期观测资料,采用水分盈亏指数表征甘蔗干旱状况,通过分析甘蔗生长季及各发育期水分盈亏指数的时空演变特征研究得出广西右江河谷近40a甘蔗生长季干旱时空特征。结果表明,右江河谷甘蔗生长季的水分均亏缺,平均水分盈亏指数为-0.27,其中甘蔗生长季及茎伸长-成熟期以右江区和田阳县水分亏缺最多,平果县水分亏缺最少。近40年右江河谷甘蔗生长季及各发育期水分盈亏指数的变化呈下降趋势,其中生长季水分盈亏指数的降速为0.02~0.03/10a。右江河谷各县区的水分盈亏指数随着年代的增长而变小,最大值均出现在70年代,最小值均出现在21世纪,说明21世纪以来干旱有所加剧。研究结果可为调整右江河谷甘蔗合理种植布局、制定科学灌溉用水调配计划提供参考依据。     

Fluctuations in the onset,termination and length of the growing season in northern Nigeria

Summary A simple water balance method is used to compute the dates of the onset and termination and length of the growing season from long-term rainfall series in northern Nigeria. For most of the stations, the time series of onset and termination dates and growing season length are homogeneous and random, and can be taken as normally distributed. There is a progressive decrease in the length of the growing season from a mean of about 200 days in the south to less than 155 days in the extreme northern part. While there is no statistically significant trend in the onset dates, there is some evidence for statistically significant decreasing trend in the termination dates and the length of the growing season over the region. The results indicate that recent trends in the length of the growing season are more sensitive.to large interannual fluctuations in the start of the rains than to variations in the cessation dates.With 7 Figures     

A method for climate and vegetation reconstruction through the inversion of a dynamic vegetation model

Climate reconstructions from data sensitive to past climates provide estimates of what these climates were like. Comparing these reconstructions with simulations from climate models allows to validate the models used for future climate prediction. It has been shown that for fossil pollen data, gaining estimates by inverting a vegetation model allows inclusion of past changes in carbon dioxide values. As a new generation of dynamic vegetation model is available we have developed an inversion method for one model, LPJ-GUESS. When this novel method is used with high-resolution sediment it allows us to bypass the classic assumptions of (1) climate and pollen independence between samples and (2) equilibrium between the vegetation, represented as pollen, and climate. Our dynamic inversion method is based on a statistical model to describe the links among climate, simulated vegetation and pollen samples. The inversion is realised thanks to a particle filter algorithm. We perform a validation on 30 modern European sites and then apply the method to the sediment core of Meerfelder Maar (Germany), which covers the Holocene at a temporal resolution of approximately one sample per 30 years. We demonstrate that reconstructed temperatures are constrained. The reconstructed precipitation is less well constrained, due to the dimension considered (one precipitation by season), and the low sensitivity of LPJ-GUESS to precipitation changes.     

Response of vegetation NDVI to climatic extremes in the arid region of Central Asia: a case study in Xinjiang,China

Theoretical and Applied Climatology - Observed data showed the climatic transition from warm-dry to warm-wet in Xinjiang during the past 30 years and will probably affect vegetation...