A new moving strategy for the sequential Monte Carlo approach in optimizing the hydrological model parameters
Gaofeng Zhu(Lanzhou University), Xiaoli Hu(Chinese Academy of Sciences), Chunlin Huang(Chinese Academy of Sciences), Jinzhu Ma(Lanzhou University), Xin Li(Institute of Tibetan Plateau Research), Yunquan Wang(China University of Geosciences), Shaomin Liu(Chinese Academy of Sciences), Kun Zhang(Lanzhou University)
Cited by 41
Related Papers
Emerging role of wetland methane emissions in driving 21st century climate change
|Proceedings of the National Academy of Sciences|2017|386
Groundwater recharge history and hydrogeochemical evolution in the Minqin Basin, North West China
|Applied Geochemistry|2006|246
Big Data in Earth system science and progress towards a digital twin
|Nature Reviews Earth & Environment|2023|240
Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation
|Remote Sensing of Environment|2020|180
The ERA5-Land soil temperature bias in permafrost regions
|The cryosphere|2020|172