Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
To promote scientific understanding of surface processes in East Asia, we have published details of the CMADS dataset in the journal, Water, and expect that users around the world will learn about CMADS datasets while promoting the development of hydrometeorological disciplines in East Asia. We hope...
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| Year of Publication: | 2019 |
| Language: | English |
| Physical Description: | 1 electronic resource (384 p.) |
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| 100 | 1 | |a Meng, Xianyong |4 auth | |
| 245 | 1 | 0 | |a Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia |
| 246 | |a Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model | ||
| 260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2019 | ||
| 300 | |a 1 electronic resource (384 p.) | ||
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| 520 | |a To promote scientific understanding of surface processes in East Asia, we have published details of the CMADS dataset in the journal, Water, and expect that users around the world will learn about CMADS datasets while promoting the development of hydrometeorological disciplines in East Asia. We hope and firmly believe that scientific development in East Asia and our understanding of this typical region will be further advanced. | ||
| 546 | |a English | ||
| 653 | |a sensitivity analysis | ||
| 653 | |a non-point source pollution models | ||
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| 653 | |a East Asia | ||
| 653 | |a climate variability | ||
| 653 | |a Qinghai-Tibet Plateau (TP) | ||
| 653 | |a potential evapotranspiration | ||
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| 653 | |a capacity distribution | ||
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| 653 | |a soil temperature | ||
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| 653 | |a CFSR | ||
| 653 | |a Jinsha River Basin | ||
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| 653 | |a hydrological modeling | ||
| 653 | |a aggregated reservoir | ||
| 653 | |a reanalysis products | ||
| 653 | |a Lijiang River | ||
| 653 | |a spatio-temporal | ||
| 653 | |a uncertainty | ||
| 653 | |a total nitrogen | ||
| 653 | |a Han River | ||
| 653 | |a streamflow simulation | ||
| 653 | |a meteorological | ||
| 653 | |a CMADS-ST | ||
| 653 | |a Erhai Lake Basin | ||
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| 653 | |a blue and green water flows | ||
| 653 | |a SUFI-2 | ||
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| 653 | |a satellite-derived rainfall | ||
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| 653 | |a Xiang River basin | ||
| 653 | |a SWAT hydrological simulation | ||
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| 653 | |a CMADS dataset | ||
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| 653 | |a meteorological input uncertainty | ||
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| 653 | |a parameter sensitivity | ||
| 653 | |a China | ||
| 653 | |a reservoir parameters | ||
| 653 | |a soil moisture | ||
| 653 | |a sloping black soil farmland | ||
| 653 | |a hydrological model | ||
| 653 | |a SWAT model | ||
| 653 | |a hydrologic model | ||
| 776 | |z 3-03921-235-4 | ||
| 700 | 1 | |a Wang, Hao |4 auth | |
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| ADM | |b 2024-02-02 10:35:09 Europe/Vienna |f system |c marc21 |a 2019-11-10 04:18:40 Europe/Vienna |g false | ||
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