Spatial horizontal correlation characteristics in the land data assimilation of soil moisture
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| Title: | Main Title: Spatial horizontal correlation characteristics in the land data assimilation of soil moisture |
| Description: | Abstract: Remote sensing images deliver important information about soil moisture, but often cover only part of an area, for example due to the presence of clouds or vegetation. This paper examines the potential of incorporating the spatial horizontal correlation characteristics of surface soil moisture observations in land data assimilation in order to obtain improved estimates of soil moisture at uncovered grid cells (i.e. grid cells without observations). Observing system simulation experiments were carried out to assimilate the synthetic surface soil moisture observations into the Community Land Model for the Babaohe River Basin in northwestern China. The estimation of soil moisture at the uncovered grid cells was improved when information about surrounding observations and their spatial correlation structure was included. Including an increasing number of observations for covered and uncovered grid cells in the assimilation procedure led to a better prediction of soil moisture with an upper limit of five observations. A further increase of the number of observations did not further improve the results for this specific case. High observational coverage resulted in a better assimilation performance, depending also on the spatial distribution of observation data. In summary, the spatial horizontal correlation structure of soil moisture was found to be helpful for improving the surface soil moisture data characterization, especially for uncovered grid cells. |
| Identifier: | 10.5194/hess-16-1349-2012 (DOI) |
Responsible Party
| Creators: | Xujun Han (Author), Xin Li (Author), Harrie-Jan Hendricks-Franssen (Author), Harry Vereecken (Author), Carsten Montzka (Author) |
| Publisher: | European Geosciences Union |
| Publication Year: | 2013 |
Topic
| TR32 Topic: | Soil |
| Related Subproject: | C6 |
| Subjects: | Keywords: Soil Moisture, Data Assimilation, Remote Sensing |
File Details
| Filename: | 2012_Han_HESS.pdf |
| Data Type: | Text - Article |
| Size: | 15 Pages |
| File Size: | 2.2 MB |
| Dates: | Accepted: 27.04.2012 Issued: 10.05.2012 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Only Project Members |
| General Access and Use Conditions: | For internal use only |
| Access Limitations: | For internal use only |
| Licence: | [TR32DB] Data policy agreement |
Geographic
Specific Information - Publication
| Publication Status: | Published |
| Review Status: | Peer reviewed |
| Publication Type: | Article |
| Article Type: | Journal |
| Source: | Hydrology and Earth System Sciences |
| Source Website: | www.hydrol-earth-syst-sci.net |
| Volume: | 16 |
| Number of Pages: | 15 (1349 - 1363) |
Metadata Details
| Metadata Creator: | Harrie-Jan Hendricks-Franssen |
| Metadata Created: | 03.12.2013 |
| Metadata Last Updated: | 03.12.2013 |
| Subproject: | C6 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Page Visits: | 707 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 2 |
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