Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations
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| Title: | Main Title: Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations |
| Description: | Abstract: The Community Land Model (CLM) includes a large variety of parameterizations, also for flow in the unsaturated zone and soil properties. Soil properties introduce uncertainties into land surface model predictions. In this paper, soil moisture and soil properties are updated for the coupled CLM and Community Microwave Emission Model (CMEM) by the Local Ensemble Transform Kalman Filter (LETKF) and the state augmentation method. Soil properties are estimated through the update of soil textural properties and soil organic matter density. These variables are used in CLM for predicting the soil moisture retention characteristic and the unsaturated hydraulic conductivity, and the soil texture is used in CMEM to calculate the soil dielectric constant. The following scenarios were evaluated for the joint state and parameter estimation with help of synthetic L-band brightness temperature data assimilation: (i) the impact of joint state and parameter estimation; (ii) updating of soil properties in CLM alone, CMEM alone or both CLM and CMEM; (iii) updating of soil properties without soil moisture update; (iv) the observation localization of LETKF. The results show that the characterization of soil properties through the update of textural properties and soil organic matter density can strongly improve with assimilation of brightness temperature data. The optimized soil properties also improve the characterization of soil moisture, soil temperature, actual evapotranspiration, sensible heat flux, and soil heat flux. The best results are obtained if the soil properties are updated only. The coupled CLM and CMEM model is helpful for the parameter estimation. If soil properties are biased, assimilation of soil moisture data with only state updates increases the root mean square error for evapotranspiration, sensible heat flux, and soil heat flux. |
| Identifier: | 10.1002/2013WR014586 (DOI) |
| Citation Advice: | Han, X., Hendricks-Franssen, H., Montzka, C., Vereecken, H., 2014. Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations. Water Resources Research, 50 (7), 6081 - 6105. DOI: 10.1002/2013WR014586 |
Responsible Party
| Creators: | Xujun Han (Author), Harrie-Jan Hendricks-Franssen (Author), Carsten Montzka (Author), Harry Vereecken (Author) |
| Publisher: | AGU Publications |
| Publication Year: | 2014 |
Topic
| TR32 Topic: | Soil |
| Related Subproject: | C6 |
| Subjects: | Keywords: Soil Moisture, Surface Fluxes, Data Assimilation |
File Details
| Filename: | Han_2014_WRR.pdf |
| Data Type: | Text - Article |
| Size: | 25 Pages |
| File Size: | 4.9 MB |
| Dates: | Accepted: 02.07.2014 Available: 23.07.2014 |
| Mime Type: | application/pdf |
| Data Format: | |
| Language: | English |
| Status: | Completed |
Constraints
| Download Permission: | Only Project Members |
| General Access and Use Conditions: | According to the TR32DB data policy agreement. |
| Access Limitations: | According to the TR32DB data policy agreement. |
| Licence: | [TR32DB] Data policy agreement |
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Specific Information - Publication
| Publication Status: | Published |
| Review Status: | Peer reviewed |
| Publication Type: | Article |
| Article Type: | Journal |
| Source: | Water Resources Research |
| Issue: | 7 |
| Volume: | 50 |
| Number of Pages: | 25 (6081 - 6105) |
Metadata Details
| Metadata Creator: | Tanja Kramm |
| Metadata Created: | 11.09.2014 |
| Metadata Last Updated: | 11.09.2014 |
| Subproject: | C6 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
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| Page Visits: | 783 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 1 |
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