Influence of Near Real-Time Green Vegetation Fraction Data on Numerical Weather Prediction by WRF over North China

The green vegetation fraction(GVF) can greatly influence the partitioning of surface sensible and latent heat fluxes in numerical weather prediction(NWP) models. However, the multiyear averaged monthly GVF climatology—the most commonly used representation of the vegetation state in models—cannot capture the real-time vegetation state well. In this study, a near real-time(NRT) GVF dataset generated from an 8-day composite of the normalized difference vegetation index is compared with the 10-yr averaged monthly GVF provided by the WRF model. The annual variability of the GVF over North China is examined in detail. Many differences between the two GVF datasets are found over dryland, grassland, and cropland/grassland mosaic areas. Two experiments using different GVF datasets are performed to assess the impacts of GVF on forecasts of screen-level temperature and humidity. The results show that using NRT GVF can lead to a widespread reduction of 2-m temperature forecast errors from April to October.Evaluation against in-situ observations shows that the positive impact on 2-m temperature forecasts in the morning is more distinct than that in the afternoon. Our study demonstrates that NRT GVF can provide a more realistic representation of the vegetation state, which in turn helps to improve short-range forecasts in arid and semiarid regions of North China. Moreover, our study shows that the negative effect of using NRT GVF is closely related to the initial soil moisture.     

Evaluation of Global Gridded Precipitation and Temperature Datasets against Gauged Observations over the Upper Tekeze River Basin,Ethiopia

The availability of satellite and reanalysis climate datasets and their applicability have been greatly promoted in hydro-climatic studies. However, such climatic products are still subject to considerable uncertainties and an evaluation of the products is necessary for applications in specific regions. This study aims to evaluate the reliability of nine gridded precipitation and temperature datasets against ground-based observations in the upper Tekeze River basin(UTB) of Ethiopia from 1982 to 2016. Precipitation, maximum temperature(T_(max)), minimum temperature(T_(min)), and mean temperature(T_(mean)) were evaluated at daily and monthly timescales. The results show that the best estimates of precipitation are from the Eart H2 Observe, WFDEI, and ERA-Interim reanalysis data Merged and Bias-corrected for the Inter-Sectoral Impact Model Intercomparison Project(EWEMBI), and the Climate Hazards Group Infra Red Precipitation with Station data(CHIRPS) datasets. The percentage biases and correlation coefficients(CCs) are within ±15% and 0.5, respectively, for both EWEMBI and CHIRPS at the two timescales. All products underestimate the drought conditions indicated by the standardized precipitation index(SPI), while the EWEMBI and CHIRPS datasets show higher agreement with the observations than other datasets. The Tmean estimates produced by the ECMWF ReAnalysis version 5(ERA5) and the Climate Hazards Group Infra Red Temperature with Station data(CHIRTS) are the closest to the observations, with CCs of 0.65 and 0.55, respectively, at the daily timescale. The CHIRTS and EWEMBI datasets show better representations of Tmax(T_(min)), with CCs of 0.69(0.72) and 0.62(0.68), respectively,at the monthly timescale. The temperature extremes are better captured by the ERA5(T_(mean)), CHIRTS(T_(max)), and EWEMBI(T_(min)) datasets. The findings of this study provide useful information to select the most appropriate dataset for hydrometeorological studies in the UTB and could help to improve the regional representation of global datasets.     

作业调度软件LoadLeveler在气象模式中的应用

西北区域气象中心高性能计算集群使用LoadLeveler调度管理作业,为实现资源利用率和吞吐量的最大化,本文探讨了作业调度管理的作用和方法.通过配置文件关键字定义队列、设置调度算法和调度器调节参数,将作业的处理需求与可用资源进行匹配,依据实际需求定义集群和各种资源的可用性规则,防止作业之间的相互干扰.结合LoadLev...     

溶藻弧菌asp基因在大肠杆菌中表达活性研究及条件优化

为进一步研究溶藻弧菌碱性丝氨酸蛋白酶(ASP)蛋白生物学活性和功能,将构建的pET23d-asp在大肠杆菌BL21(DE3)中表达,对表达产物进行纯化分析,并优化表达条件。结果表明:在咪唑洗脱缓冲液浓度为100 mmol/L时,表达的可溶性ASP被大量洗脱,纯化的ASP相对分子质量约为42 000,具有蛋白活性;在诱导温度28℃、异丙基-β-D硫代半乳糖苷(Isopropyl-β-D-thiogalactopyranoside,IPTG)浓度1 mmol/L及诱导时间16 h时,表达的活性ASP蛋白最多。     

基于走航观测的夏季南极海冰分布特征分析

依托中国第19次南极科学考察,基于ASPeCt(南极海冰过程与气候)海冰走航观测方法标准,以"雪龙号"破冰船为平台进行夏季南大洋海冰走航观测.在2003年1月4-17日近6 500km的航程断面上,分别获取了海冰的厚度、密集度、雪厚度、浮冰尺寸等海冰分布特征参数.结果表明,海冰分布特征参数均呈现了较大的空间变化.由于夏季海冰融化并受制于特定动力过程作用,海冰在威德尔海附近聚集,密集度达到峰值,沿断面在0%～80%之间变化;在断面的大部分观测到开阔水域.沿断面海冰厚度介于10～210cm,雪厚度介于2～80 cm之间,在埃默里冰架附近冰雪厚度达到了全断面的最高值.沿断面浮冰尺寸,最小到＜10 cm到最大超过2 000 m不等.     

Wind-sand movement characteristics and erosion mechanism of a solar photovoltaic array in the middle of the Hobq Desert,Northwestern China

The operation and power generation of utility-scale solar energy infrastructure in desert areas are affected by changes in surface erosion processes resulting from the construction of solar photovoltaic(PV) power stations. However, few studies have addressed the interactions between solar PV arrays and aeolian erosion processes. In this study, wind flow field characteristics and the vertical distribution of sediments were investigated in the near-surface transport layer at three different locations with respect to the solar PV arrays in a 200 WM-p PV power station in the central Hobq Desert, northwestern China. The results indicate that the sediment transport varied around the panels, with the greatest transport occurring between the panels, followed by behind and in front of the panels. The sediment fluxes of all of the observation sites obey an exponential function. The secondary flow field zones formed around the PV panels: the conflux accelerating zone between the panels, the resistance decelerating zone of the under panels, and the transition zone of the rapid velocity increase in front of and behind the panels. This resulted in a greater shear force in front of the panels under the downward flow diversion effect of PV panels, and the wind erosion depressions were finally formed here. The results of this study provide information for planning better technical schemes for wind-sand hazards at solar PV power stations, which would ensure operational stability and safety in desert areas.     

长江、黄河大洪水前期地球系统演变的分析

通过分析江、淮、黄、海四大洪共１４个大洪水年的前期地震场特征,发现大洪水前在青藏高原东南地区、亚欧中纬地带和台湾以东洋面三处的有强地震发生,若强震出现在中印缅热点则对应着江淮大小;强震出现在川青甘地区则对应着黄海河大水。引发大水的直接原因是本地区地热涡的强烈发展,它因刚好位于数组”同向等距地热涡族”的相交点上,交相干共振的结果,文中详细分析了１９５４和１９８２年两个个例。最后分析了“中印缅热点”的     

有机碳同位素示踪古环境变化研究

对有机碳同位素示踪环境变化的原理、研究对象、取得的进展和存在的问题等进行了详细研究，认识到C～H键比C-O键有利于富集^12C，从而导致生物或有机碳δ^13C为极低的负值，使有机碳与无机碳之间存在显著的碳同位素差异。光合作用类型的不同使植物分为C3，C4和CAM3种类群，并导致不同类群的植物具有不同的碳同位素组成，C3植物δ^13C=-20‰～-32‰，平均-28‰，而C4植物δ^13C=-9‰～-17‰，平均-14‰。气候环境的差异影响了光合作用的类型和强度，使不同环境的植物类群特征不同，不仅造成植物组合的碳同位素组成不同，而且导致不同食性的动物牙齿等化石的碳同位素组成的差异，甚至相应的无机碳同位素的变化，因此生物链及其衍生物的碳同位素研究也就成为反演某一地区或某一时期气候环境的有效手段。被作为研究对象的地质记录可分为有机和无机两类，有机类主要包括树轮等植物化石、牙齿等动物化石、煤等陆相沉积有机质、海相沉积有机质、土壤(前者的衍生物)，这些研究对象分别适合于目的不同的环境研究，并获得了较好的效果。进而发现有机碳同位素在研究重大生物灭绝事件、C4植物起源、地球早期生命起源、地外生命存在与否、矿产资源形成时的有机质作用等问题上将有重要作为。     

新疆蒙库地区华力西中期花岗岩及其构造环境意义的研究

新疆蒙库地区位于阿尔泰山南麓,南接准噶尔盆地。该地区花岗岩分布广泛,主要为华力西中、晚期花岗岩。对蒙库地区华力西中期（石炭纪）花岗岩进行分析和研究认为,该区花岗岩处于华力西期大陆边缘造山带环境中,具有汇聚、造山期花岗岩的特征。岩浆沿断裂带上侵就位,为板块俯冲作用、陆—陆碰撞构造环境下形成的活动大陆边缘岩浆弧。深入研究蒙库地区花岗岩有助于我们了解这一时期该地区区域构造、岩浆演化的规律。     

煤矸石释放重金属环境效应研究--淮南煤矿塌陷区水体试验场实例调查

概要分析了淮南新孜5号井煤矸石所含的重金属元素对塌陷区鱼塘水质的影响,指出除个别水样中Zn、Cu超标外,其他均不超标,该鱼塘水质适宜养鱼要求。矸石样与华北及整个地壳泥岩中元素的丰度比,矸石中Cr、Pb、Zn与泥岩丰度基本持平,而Cd、Cu均超过其他泥岩中丰度值。因此,煤矸石在地面遭受风化,其所含有害物质可能会释放到环境,在煤矸石堆放处适当进行监测还是必要的。