Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Science (CAS), Beijing, 100101, China
L. Tan
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Science (CAS), Beijing, 100101, China
University of Chinese Academy of Sciences, Beijing, 100049, China
X. Mo
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Science (CAS), Beijing, 100101, China
S. Zhang
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Science (CAS), Beijing, 100101, China
Beijing Forestry University, School of Soil & Water Conservation, Beijing, 100083, China
Viewed
Total article views: 1,224 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
657
496
71
1,224
94
100
HTML: 657
PDF: 496
XML: 71
Total: 1,224
BibTeX: 94
EndNote: 100
Views and downloads (calculated since 12 Jun 2015)
Cumulative views and downloads
(calculated since 12 Jun 2015)
By taking an example of Allen’s formula as a hydrological model based on long-term data at a Chinese site, the relationships between driving forces and responses for average, minimum and maximum values at daily, monthly and annual scale are revealed. It indicates due to the relationships’ nonlinearity a routine model may not be able to catch hydrological responses extreme from extreme driving events and it is even more so for future. Finding a primary driver is one of the ways for improvements.
By taking an example of Allen’s formula as a hydrological model based on long-term data at a...
