1. 基本信息
 | 姓名：张凌 | 性别：男 |
职称：副研究员 | 学历：博士 | |
职务：无 | ||
通讯地址：甘肃省兰州市城关区东岗西路320号 | ||
2. 个人简介
张凌，博士，中国科学院西北生态环境资源研究院副研究员，硕士研究生导师，曾入选中国科学院“特聘骨干”研究岗位、中科院西北院“西部突出贡献人才”计划。主要从事遥感及水文水资源方面的研究，（1）提出了双机器学习算法，实现了多源遥感降水与地面观测的融合，系统评估了多源遥感降水产品及其对山区水文模拟的应用价值；（2）发展了基于并行计算的分布式模型标定方法，提升遥感产品和径流观测对水文模型的综合校准能力；成功将显式与隐式相结合的数值计算方法引入到分布式水文模型，解决了传统数值差分方法计算效率问题；（3）证实了“灌溉效率悖论“的存在，并利用农业-水-经济模型，研究了避免节水灌溉效率悖论发生的途径。以第一作者和通讯作者发表SCI论文16篇，其中包括领域顶级（Top）期刊10篇 ,主持国家自然科学基金面上项目1项，青年基金项目1项，中科院西部青年学者B类项目1项。
3. 研究方向
流域生态水文模拟；水文影响评价；遥感降水融合；灌溉模拟与反演
4. 工作履历
2020-04~现在, 中国科学院西北生态环境资源研究院, 副研究员
2017-07~2020-04, 中国科学院西北生态环境资源研究院, 助理研究员
5. 教育经历
2014-09--2017-07 中国科学院西北生态环境与资源研究院 博士
2011-09--2014-07 中国科学院寒区旱区环境与工程研究所 硕士
2007-09--2011-07 西华师范大学 学士
6. 科研项目
（1）国家自然科学基金委员会, 面上项目，源数据支持下的中国灌溉信息反演与重建研究，2023-01至2026-12, 主持
（2）国家自然科学基金委员会, 青年项目, 流域尺度典型节水灌溉方式的生态水文影响模拟研究, 2020-01至2022-12, 主持
（3）中国科学院, “西部之光”人才计划“西部青年学者” B类项目, 29Y929661,人类活动的水文影响分离和情景模拟—以黑河上游为例, 2019-01至2021-12, 主持
7. 学术兼职
担任国际期刊《Scientific Reports》编委
8．学术成果（论文、专著、专利等）
(1) Zhang Ling*, Zhang Kun, Zhu Xiufang, et al. Integrating remote sensing, irrigation suitability and statistical data for irrigated cropland mapping over mainland China. Journal of Hydrology, 2022, 613:128413
(2) Zhang Ling*, Zheng Donghai, Zhang Kun, et al. Divergent trends in irrigation-water withdrawal and consumption over mainland China. Environmental Research Letters, 2022, 17(9):94001.
(3) Li Xin*, Cheng Ggudong, Fu Bojie, Xia, Jun, Zhang Ling*, et al. Linking critical zone with watershed science: The example of the Heihe River basin. Earth's Future, 2022, e2022E.
(4) Zhang Ling*, Zhao Yanbo, Ma Qimin, et al. A parallel computing-based and spatially stepwise strategy for constraining a semi-distributed hydrological model with streamflow observations and satellite-based evapotranspiration. Journal of Hydrology, 2021, (599):126359.
(5) Zhang Ling*, Li Xin, Zheng Donghai, et al. Merging multiple satellite-based precipitation products and gauge observations using a novel double machine learning approach. Journal of Hydrology, 2021:125969.
(6) Li Xin*, Zhang Ling*, Zheng Yi, et al. Novel hybrid coupling of ecohydrology and socioeconomy at river basin scale: A watershed system model for the Heihe River basin. Environmental Modelling & Software, 2021, 141:105058.
(7) Zhang Ling*, Li Xin, Cao Yanping, et al. Evaluation and integration of the top-down and bottom-up satellite precipitation products over mainland China. Journal of Hydrology, 2020:124456.
(8) Zhang Ling*, Ren D, et al., 2020, Interpolated or satellite-based precipitation? Implications for hydrological modeling in a meso-scale mountainous watershed on the Qinghai-Tibet Plateau. Journal of Hydrology, 2020. 583: 124629.
(9) Zhang Ling*. Comment on “Exploring the Influence of Smallholders’ Perceptions Regarding Water Availability on Crop Choice and Water Allocation Through Socio-Hydrological Modeling” by Kuil et al. [Water Resource Research, 54, 2580–2604], Water Resource Research, 2019, 55, 2532–2535.
(10) Zhang Ling*, Ma Q, Zhao Y, et al. Determining the influence of irrigation efficiency improvement on water use and consumption by conceptually considering hydrological pathways. Agricultural Water Management, 2019, 213:674-681.
(11) Zhang Ling, Nan Z, Liang X, et al. Application of the MacCormack scheme to overland flow routing for high-spatial resolution distributed hydrological model. Journal of Hydrology, 2018, 558:421-431.
(12) Zhang Ling*, Nan Z, Wang W, et al. Separating climate change and human contributions to variations in streamflow and its components using eight time-trend methods. Hydrological Processes, 2018,1-12.
(13) Zhang Ling, Nan Z, et al., 2018, Comparison of baseline period choices for separating climate and land use/land cover change impacts on watershed hydrology using distributed
