中国地区三种地表反照率产品比较

利用2007—2011年MODIS、GlobAlbedo和ERA-Interim的3种地表反照率产品,借助地理信息系统(Geographic Information System, GIS)空间化技术,对中国地区3种地表反照率产品进行了对比分析。结果表明：3种产品与气象站观测值的时间分布趋势一致,冬季高夏季低,且相关性较高。3种产品中,MODIS与GlobAlbedo的绝对差异值最小,ERA-Interim与MODIS、GlobAlbedo的绝对差异值较大。3种产品在青藏高原和西北山地区域表现出较大的差异,且差异表现为冬半年高,夏半年低。3种产品之间相关性最高的是MODIS与GlobAlbedo,最低的是MODIS与ERA-Interim, 3种产品在40°N以北具有较好的相关性。且在夏季和冬季地表反照率均值的表现说明,ERA-Interim相比MODIS、GlobAlbedo难以反映地表反照率受地形和土地覆被的影响。     

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。     

中国含盐盆地成钾矿集区划分与找钾前景概述——纪念中国找钾60年

对中国含盐盆地戍钾矿集区、成钾准矿集区及成钾预备矿集区进行划分。矿集区的特点为①有一个主要的钾盐矿床;②每个盆地都有数个,有的迭10个以上钾盐矿床,地质资源合计储量KCl都达亿t以上;③钾盐戍因机制、模式复杂多样。对中国找钾60年进行回顾,提出深部找钾及科学找钾：①练好业务,即熟悉掌握找钾各种最新物探、化探、岩矿测试分析技术。②熟悉掌握中外找钾理论和经验;③二次开发找盐钾文献、资料和标本;④深入剖析一个盐盆的野外地质工作和室内分析资料,整理研究,找出规律,提出找钾有利层位和地点。⑤多学科多技术结合,老中新组成团队,发挥协作精神;⑥选有最利成盐钾和油气共生盆地（钾矿集区）开展工作,如四川、陕西、新疆等地。并对中国找钾前景进行预测。     

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.     

内蒙古特拜金矿流体包裹体特征与成矿作用

华北地台北缘西段是我国重要的金矿成矿区,目前为止已发现了浩尧尔忽洞、朱拉扎嘎、赛乌素、碱泉子、卡修他他等多个规模不等、不同成因的的金矿床,显示出较大的成矿潜力。特拜金矿是近年来在华北地台北缘西段新发现的一个中型金矿。为探索该金矿的成矿机制,本文对特拜金矿开展了矿床地质和流体性质研究。结果表明,特拜金矿-赋存于早古生代的碳质板岩、碳质千枚岩中。矿体展布受黑色岩系、NW向F2断裂带和NE向F8断裂带的共同控制。矿区周边出露华力西期特拜石英闪长岩和管材陶鲁盖花岗岩等岩浆岩。该金矿从早期成矿阶段到晚期成矿阶段,流体包裹体的均一温度从300℃~350℃逐渐降低到150℃~200℃,盐度从16wt%NaCleqv~20wt%NaCleqv逐渐降低到1wt%NaCleqv ~4wt%NaCleqv;流体的气相组成以CH4-N2-CO2为特征,δDV-SMOW为-91.6‰~-84.5‰,δ18OH2O为2.8‰~3.5‰之间,流体相对富集Ba、Pb、Sr等元素,相对亏损Rb、Th、Nb、Zr、Y、Yb等元素。成矿流体主要来源于岩浆期后热液,可能混合了少量的大气降水。成矿流体处于一种还原性、低温的环境下,金在流体中以Au(HS) 2- 络合物的形式迁移。流体向上运移过程中,因温度、压力的降低而发生不混溶现象,并导致金的沉淀。     

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.