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| 1 | Dynamic downscaling of near-surface air temperature at the basin scale using WRF-a case study in the Heihe River Basin, China显示文摘一般发行量模型(GCM ) 的空间决定太粗糙,不能代表地区性的气候变化在地区性,为许多环境建模和影响评价要求的盆,和本地规模。天气研究和预报模型(WRF ) 是一下一代,充分可压缩,有运行时刻的 Euler 非静水力学的 mesoscale 预报模型静水力学的选择。这个模型在从一公里的规模为 downscaling 天气和气候是有用的到几千公里,并且为导出也为水文学模拟要求的气象学的参数是有用的。这篇论文的目的是验证由中国气象学的管理(CMA ) 车站的每日的观察数据,并且由模仿 5 km/1 h 空气温度的 WRF 时时,在原处,分水岭的数据结盟了遥感勘测试验性的研究工程。每日的确认证明 WRF 模拟与观察数据有好同意;R ^ 啜在 WRF 模拟和每个车站之间的 2 ^ 是超过 0.93;为每个车站的 meanbias 错误(MBE ) 绝对是不到 | Xiaoduo PAN Xin Li Xiaokang SHI Xujun HAN Lihui LUO Liangxu WANG | 2012 | Frontiers of Earth Science2012，6，3： | 24 |
| 2 | QTG-Seq Accelerates QTL Fine Mapping through QTL Partitioning and Whole-Genome Sequencing of Bulked Segregant Samples显示文摘Deciphering the genetic mechanisms underlying agronomic traits is of great importance for crop improvement. Most of these traits are controlled by multiple quantitative trait loci (QTLs), and identifying the underlying genes by conventional QTL fine-mapping is time-consuming and labor-intensive. Here, we devised a new method, named quantitative trait gene sequencing (QTG-seq), to accelerate QTL fine-mapping. QTGseq combines QTL partitioning to convert a quantitative trait into a near-qualitative trait, sequencing of bulked segregant pools from a large segregating population, and the use of a robust new algorithm for identifying candidate genes. Using QTG-seq, we fine-mapped a plant-height QTL in maize (Zea mays L.), qPH7, to a 300-kb genomic interval and verified that a gene encoding an NF-YC transcription factor was the functional gene. Functional analysis suggested that qPH7-encoding protein might influence plant height by interacting with a CO-like protein and an AP2 domain-containing protein. Selection footprint ana卜 ysis indicated that qPH7 was subject to strong selection during maize improvement. In summary, QTG-seq provides an efficient method for QTL fine-mapping in the era of “big data'. | Hongwei Zhang Xi Wang Qingchun Pan Pei Li Yunjun Liu Xiaoduo Lu Wanshun Zhong Minqi Li Linqian Han Juan Li Pingxi Wang Dongdong Li Yan Liu Qing Li Fang Yang Yuan-Ming Zhang Guoying Wang Lin Li | 2019 | Molecular Plant2019，12，3： | 13 |
| 3 | Toward an improved data stewardship and service for environmental and ecological science data in West China显示文摘Sharing of scientific data can help scientific research to flourish and facilitate more widespread use of scientific data for the benefit of society.The Environmental and Ecological Science Data Center for West China(WestDC),sponsored by the National Natural Science Foundation of China(NSFC),aims to collect,manage,integrate,and disseminate environmental and ecological data from western China.It also aims to provide a long-term data service for multidisciplinary research within NSFC’s‘‘Environment and Ecology of West China Research Plan’’(NSFC West Plan).An integrated platform has been developed by the WestDC,and this has the function of data sharing,acting as a knowledge repository.Major data sets developed by the WestDC include basic geographic data,the regionalization of global data set for China,scientific data for cold and arid regions in China,scientific data for the cryosphere in countries that neighbor China,data relating to the inland river basins in northwestern China,and data submitted by the NSFC West Plan projects.In compliance with the‘‘full and open’’data sharing policy,most data in the WestDC can be accessed online.Highlights include detailed data documentation,the integration of data with bibliographic knowledge,data publishing,and data reference. | Xin Li Zhuotong Nan Guodong Cheng Yongjian Ding Lizong Wu Liangxu Wang Jian Wang Youhua Ran Hongxing Li Xiaoduo Pan Zhongming Zhu | 2011 | International Journal of Digital Earth2011，4，4： | 11 |
| 4 | Validation of WRF model on simulating forcing data for Heihe River Basin显示文摘The research of coupling WRF(Weather Research and Forecasting Model)with a land surface model is enhanced to explore the interaction of the atmosphere and land surface;however,regional applicability of WRF model is questioned.In order to do the validation of WRF model on simulating forcing data for the Heihe River Basin,daily meteorological observation data from 15 sta-tions of CMA(China Meteorological Administration)and hourly meteorological observation data from seven sites of WATER(Watershed Airborne Telemetry Experimental Research)are used to compare with WRF simulations,with a time range of a whole year for 2008.Results show that the average MBE(Mean Bias Error)of daily 2-m surface temperature,surface pressure,2-m rela-tive humidity and 10-m wind speed were-0.19 °C,-4.49 hPa,4.08% and 0.92 m/s,the average RMSE(Root Mean Square Error)of them were 2.11 °C,5.37 hPa,9.55% and 1.73 m/s,and the average R(correlation coefficient)of them were 0.99,0.98,0.80 and 0.55,respectively.The average MBE of hourly 2-m surface temperature,surface pressure,2-m relative humidity,10-m wind speed,downward shortwave radiation and downward longwave were-0.16 °C,-6.62 hPa,-5.14%,0.26 m/s,33.0 W/m2 and-6.44 W/m2,the average RMSE of them were 2.62 °C,17.10 hPa,20.71%,2.46 m/s,152.9 W/m2 and 53.5 W/m2,and the average R of them were 0.96,0.97,0.70,0.26,0.91 and 0.60,respectively.Thus,the following conclusions were obtained:(1)regardless of daily or hourly validation,WRF model simulations of 2-m surface temperature,surface pressure and relative humidity are more reliable,especially for 2-m surface air temperature and surface pressure,the values of MBE were small and R were more than 0.96;(2)the WRF simulating downward shortwave radiation was relatively good,the average R between WRF simulation and hourly observation data was above 0.9,and the average R of downward longwave radiation was 0.6;(3)both wind speed and rainfall simulated from WRF model did not agree well with observation data. | XiaoDuo Pan Xin Li | 2011 | Research in Cold and Arid Regions2011，3，4： | 9 |
| 5 | Heterogeneous sea-level rises along coastal zones and small islands显示文摘Coastal zones and many small islands are highly susceptible to sea-level rise(SLR). Coastal zones have a large exposed population and integrated high-value assets, and islands provide diverse ecosystem services to millions of people worldwide. The coastal zones and small islands affected by SLR are likely to suffer from submergence, flooding and erosion in the future. However, very few studies have addressed the heterogeneity in SLR changes and the potential risk to coastal zones and small islands. Here we used the mean sea level(MSL) derived from satellite altimetry data to analyse the trends and accelerations of SLRs along global coastal zones and small islands. We found that except for the Antarctic coastal zone, the annual MSL within 50 km of the coasts presented an increasing trend of 3.09 ± 0.13 mm a^-1 but a decreasing acceleration of -0.02 ± 0.02 mm a^-2 from 1993 to 2017. The highest coastal MSL trend of3.85 ± 0.60 mm a^-1 appeared in Oceania, and the lowest trend of 2.32 ± 0.37 mm a^-1 occured in North America. Africa, North America and South America showed acceleration trends, and Eurasia, Australia and Oceania had deceleration trends. Further, MSLs around global small islands reflected an increasing trend with a rate of 3.01 ± 0.16 mm a^-1 but a negative acceleration of -0.02 ± 0.02 mm a^-2. Regional heterogeneity in the trends and accelerations of MSLs along the coasts and small islands suggests that stakeholders should take discriminating precautions to cope with future disadvantageous impacts of the SLR. | Guoshuai Li Xin Li Tandong Yao Tao Che Hong Yang Mingguo Ma Haipeng Zhao Xiaoduo Pan | 2019 | Science Bulletin2019，64，11： | 0 |
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