Name
Abstract | ||
|---|---|---|
Soil moisture is an important variable in the climate system and it has sensitive impact on the global climate. Obviously it is one of essential components in the climate change study. The Integrated Biosphere Simulator (IBIS) is used to evaluate the spatial and temporal patterns of soil moisture across China under the climate change conditions for the period 1960-2006. Results show that the model performed better in warm season than in cold season. Mean errors (ME) are within 10% for all the months and root mean squared errors (RMSE) are within 10% except winter season. The model captured the spatial variability higher than 50% in warm seasons. Trend analysis based on the Mann-Kendall method indicated that soil moisture in most area of China is decreased especially in the northern China. The areas with significant increasing trends in soil moisture mainly locate at northwestern China and small areas in southeastern China and eastern Tibet plateau. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ESIAT.2009.24 | ESIAT (1) |
Keywords | Field | DocType |
warm season,climatology,root mean squared errors,warm seasons,hydrology,vwc,statistical analysis,ad 1960 to 2006,climate change study,china,integrated biosphere simulator,cold season,northwestern china,winter season,soil moisture,northern china,climate change condition,southeastern china,trend analysis,mann-kendall method,soil,climate system,eastern tibet plateau,volume water content,global climate,climate change,water resources,seasonality,atmosphere,biosphere,mean error,meteorology,water content,atmospheric modeling,spatial variability,surface topography,root mean square error | Plateau,Biosphere,Physical geography,Data mining,Climate change,Computer science,Atmospheric model,Effects of global warming,Spatial variability,Water content,Climatology,Water resources | Conference |
Volume | ISBN | Citations |
1 | 978-0-7695-3682-8 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiuan Zhu | 1 | 0 | 1.01 |
| Hong Jiang | 2 | 8 | 9.37 |
| Jinxun Liu | 3 | 6 | 2.68 |