机构

• 地理科学与资源研究... [16]
• 青藏高原研究所 [2]
• 微电子研究所 [1]
• 过程工程研究所 [1]
• 西安光学精密机械研究... [1]
• 植物研究所 [1]
• 更多

采集方式

• OAI收割 [22]

内容类型

• 期刊论文 [21]
• 专利 [1]

发表日期

• 2025 [1]
• 2024 [3]
• 2023 [4]
• 2022 [5]
• 2021 [5]
• 2018 [3]
• 更多

学科主题

• 生物学::生态学 [2]
• Agricultur... [1]
• Environmen... [1]
• Forestry [1]
• Geoscience... [1]
• Meteorolog... [1]
• 更多

筛选

浏览/检索结果: 共22条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Gap-filling GRACE and GRACE-FO data with a climate adjustment scheme using Singular Spectrum analysis 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2025, 卷号: 653, 页码: 132782 作者:  Zhang, Xuanze;  Ren, Chanyue;  Wang, Zhonglei;  Li, Xiaojie;  Zhang, Yongqiang   |  收藏  |  浏览/下载：8/0  |  提交时间：2025/03/18 GRACE  GRACE-FO  Gap filling  Terrestrial water storage anomaly  SPEI  SSA   Quantifying Global Hydrological Sensitivity to CO2 Physiological and Radiative Forcings Under Large CO2 Increases 期刊论文  OAI收割 EARTHS FUTURE, 2024, 卷号: 12, 期号: 12, 页码: e2023EF004246 作者:  Zhang, Xuanze;  Zhang, Yongqiang;  Wang, Ying-Ping;  Tang, Qiuhong;  Ban, Yunyun   |  收藏  |  浏览/下载：3/0  |  提交时间：2025/01/17 global water cycle  hydrological sensitivity  vegetation physiological effect  CO2 radiative forcing  CMIP6   Using hydrological modeling and satellite observations to elucidate subsurface and surface hydrological responses to the extreme drought 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2024, 卷号: 645, 页码: 132174 作者:  Tang, Zixuan;  Zhang, Yongqiang;  Tian, Jing;  Ma, Ning;  Li, Xiaojie   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/12/20 Integrating leaf functional traits improves modelled estimates of carbon and water fluxes at a subtropical evergreen conifer forest 期刊论文  OAI收割 ECOLOGICAL MODELLING, 2024, 卷号: 488, 页码: 110593 作者:  Chen, Bin;  Li, Yue;  Wang, Shaoqiang;  Chen, Jinghua;  Zhang, Xuanze   |  收藏  |  浏览/下载：25/0  |  提交时间：2024/01/26 Leaf maximum carboxylation rate  Leaf maximum electron transport rate  Gross primary productivity Evapotranspiration  Sunlit and shaded leaves   Increased Grain Crop Production Intensifies the Water Crisis in Northern China 期刊论文  OAI收割 EARTHS FUTURE, 2023, 卷号: 11, 期号: 9, 页码: 31 作者:  Li, Xiaojie;  Zhang, Yongqiang;  Ma, Ning;  Zhang, Xuanze;  Tian, Jing   |  收藏  |  浏览/下载：14/0  |  提交时间：2023/10/23 agricultural water consumption  crop production  coupled carbon-water model  irrigation demand  terrestrial water storage   Diverse responses of canopy conductance to heatwaves 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 335, 页码: 109453 作者:  Wang, Longhao;  Zhang, Yongqiang;  Ma, Ning;  Song, Peilin;  Tian, Jing   |  收藏  |  浏览/下载：18/0  |  提交时间：2023/06/10 Climate change  Heatwave  Vegetation canopy  Ecosystem resilience  Canopy conductance   Uncertainty and Emergent Constraints on Enhanced Ecosystem Carbon Stock by Land Greening 期刊论文  OAI收割 JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2023, 卷号: 15, 期号: 5, 页码: 21 作者:  Bian, Chenyu;  Xia, Jianyang;  Zhang, Xuanze;  Huang, Kun;  Cui, Erqian   |  收藏  |  浏览/下载：16/0  |  提交时间：2023/10/09 ecosystem carbon stock  global land greening  traceability analysis  uncertainty source  gross primary production  emergent constraints   Strong Nonlinearity of Land Climate-Carbon Cycle Feedback Under a High CO2 Growth Scenario 期刊论文  OAI收割 EARTHS FUTURE, 2023, 卷号: 11, 期号: 1, 页码: 15 作者:  Zhang, Xuanze;  Wang, Ying-Ping;  Zhang, Yongqiang   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/02/18 Correction of Overestimation in Observed Land Surface Temperatures Based on Machine Learning Models 期刊论文  OAI收割 JOURNAL OF CLIMATE, 2022, 卷号: 35, 期号: 16, 页码: 5359-5377 作者:  Liu, Fa;  Wang, Xunming;  Sun, Fubao;  Wang, Hong;  Wu, Lifeng   |  收藏  |  浏览/下载：33/0  |  提交时间：2022/09/21 Land surface temperature  Machine learning model  Climate regions  Prediction  Correction   Correction of Overestimation in Observed Land Surface Temperatures Based on Machine Learning Models 期刊论文  OAI收割 JOURNAL OF CLIMATE, 2022, 卷号: 35, 期号: 16, 页码: 5359-5377 作者:  Liu, Fa;  Wang, Xunming;  Sun, Fubao;  Wang, Hong;  Wu, Lifeng   |  收藏  |  浏览/下载：32/0  |  提交时间：2022/09/21 Land surface temperature  Machine learning model  Climate regions  Prediction  Correction