个人简况:
朱文彬,理学博士,中国科学院地理科学与资源研究所研究员、博士生导师、水资源研究室副主任。主要从事遥感水文与水资源管理研究,主持国家自然科学基金项目4项和地方省级项目2项,以第一/通讯作者身份在国内外主流专业期刊发表论文50余篇、授权国家发明专利6项,咨询报告被国家领导人、两办等机构采纳。入选中国科学院首批特聘骨干、中国科学院青年创新促进会和中国科学院地理科学与资源研究所“可桢秉维”青年人才计划,荣获青海省科技进步一等奖。
代表性学术论文:
[1] Zhu, W., Wei, J., Xiu, H., et al. Coupled and continuous estimation of soil moisture and evaporative fraction within the remotely sensed surface temperature-vegetation index framework. Journal of Hydrology, 2021, 592, 128527.
[2] Zhu, W., Jia, S., Lall, U., et al. An observation-driven optimization method for continuous estimation of evaporative fraction over large heterogeneous areas. Remote Sensing of Environment, 2020, 247, 111887.
[3] Zhu, W., Jia, S., Devineni, N., et al. Evaluating China’s water security for food production: The role of rainfall and irrigation. Geophysical Research Letters, 46, 11155-11166.
[4] Zhu, W., Jia, S., Lall, U., et al. Relative contribution of climate variability and human activities on the water loss of the Chari/Logone River discharge into Lake Chad: A conceptual and statistical approach. Journal of Hydrology, 2019, 569, 519-531.
[5] Zhu, W., Lv, A., Jia, S., et al. Retrieval of all-weather daytime air temperature from MODIS products. Remote Sensing of Environment, 2017, 189, 152-163.
[6] Zhu, W., Jia, S., Lv, A. A time domain solution of the Modified Temperature Vegetation Dryness Index (MTVDI) for continuous soil moisture monitoring. Remote Sensing of Environment, 2017, 200, 1-17.
[7] Zhu, W., Jia, S., Lv, A. A universal Ts-VI triangle method for the continuous retrieval of evaporative fraction from MODIS products. Journal of Geophysical Research: Atmospheres, 2017, 122, 2017JD026964.
[8] Zhu, W., Lv, A., Jia, S., Sun, L. Development and evaluation of the MTVDI for soil moisture monitoring. Journal of Geophysical Research: Atmospheres, 2017, 122, 5533-5555.
[9] Zhu, W., Lv, A., Jia, S. Estimating of daily maximum and minimum air temperature using MODIS land surface temperature products. Remote Sensing of Environment, 2013, 130, 62-73.
招生专业:自然地理学
招生方向:水文水资源
联系方式:电话:010-64880762,Email: zhuwb@igsnrr.ac.cn