Name
Title | ||
|---|---|---|
Developing Land Data Assimilation System based on EnKF, 3DVAR technology and Community Land Model |
Abstract | ||
|---|---|---|
For the land products retrieved from the remotely sensed datasets better using in the land surface model and weather/climate model, the details on how to develop the Land Data Assimilation Systems (LDAS) based on EnKF, 3DVAR technology and Community Land Model, has been discussed in this study. The constructed LDAS can provide optimal estimates of land surface state initial conditions by integrating with an ensemble of land surface models, the available atmospheric forcing data, remotely sensed observations of precipitation, radiation and some land surface parameters such as land cover and leaf area index. The verification results from soil temperature and moisture assimilation at Yucheng comprehensive experiment site and from 19-year LAI assimilation indicate that the constructed LDAS takes its effect and shows agreement with some past researches. There are still many detailed work to do for the routine operation of LDAS, such as how to get dynamic P in 3dvar, how to select the spacing interpolation algorithm, etc. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IGARSS.2009.5418300 | IGARSS |
Keywords | Field | DocType |
terrain mapping,remote sensing,community land model,land cover,kalman filters,yucheng comprehensive experiment site,weather model,atmospheric forcing data,climate model,interpolation,3dvar,enkf,soil temperature,3dvar technology,soil moisture assimilation,data assimilation,land data assimilation system,atmospheric precipitation,spacing interpolation algorithm,leaf area index,land surface temperature,land surface state,vegetation mapping,soil,land surface parameter,land surface model,atmospheric radiation,initial condition,information retrieval,linear discriminant analysis,optimal estimation,moisture,atmospheric modeling | Meteorology,Leaf area index,Climate model,Computer science,Interpolation,Remote sensing,Atmospheric model,Forcing (mathematics),Data assimilation,Land cover,Precipitation | Conference |
Volume | ISSN | ISBN |
3 | 2153-6996 | 978-1-4244-3395-7 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qifeng Lu | 1 | 0 | 4.06 |
| Zhongdong Yang | 2 | 14 | 4.33 |
| Yang Hu | 3 | 7 | 1.54 |
| Zhaojun Zhen | 4 | 0 | 0.34 |
| Yanmeng Bi | 5 | 0 | 0.34 |
| Xuebao Wu | 6 | 5 | 2.04 |
| Guicai Li | 7 | 26 | 6.27 |