Soil Moisture Assimilation Using a Modified Ensemble Transform Kalman Filter Based on Station Observations in the Hai River Basin
Assimilating observations to a land surface model can further improve soil moisture estimation accuracy. However, assimilation results largely rely on forecast error and generally cannot maintain a water budget balance. In this study, shallow soil moisture observations are assimilated into Common La...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2016/4569218 |
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| _version_ | 1832552245423505408 |
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| author | Guocan Wu Bo Dan Xiaogu Zheng |
| author_facet | Guocan Wu Bo Dan Xiaogu Zheng |
| author_sort | Guocan Wu |
| collection | DOAJ |
| description | Assimilating observations to a land surface model can further improve soil moisture estimation accuracy. However, assimilation results largely rely on forecast error and generally cannot maintain a water budget balance. In this study, shallow soil moisture observations are assimilated into Common Land Model (CoLM) to estimate the soil moisture in different layers. A proposed forecast error inflation and water balance constraint are adopted in the Ensemble Transform Kalman Filter to reduce the analysis error and water budget residuals. The assimilation results indicate that the analysis error is reduced and the water imbalance is mitigated with this approach. |
| format | Article |
| id | doaj-art-adc279b317034b62a0405550d1d0384b |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-adc279b317034b62a0405550d1d0384b2025-02-03T05:59:10ZengWileyAdvances in Meteorology1687-93091687-93172016-01-01201610.1155/2016/45692184569218Soil Moisture Assimilation Using a Modified Ensemble Transform Kalman Filter Based on Station Observations in the Hai River BasinGuocan Wu0Bo Dan1Xiaogu Zheng2College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, ChinaCollege of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, ChinaKey Laboratory of Regional Climate-Environment Research for East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaAssimilating observations to a land surface model can further improve soil moisture estimation accuracy. However, assimilation results largely rely on forecast error and generally cannot maintain a water budget balance. In this study, shallow soil moisture observations are assimilated into Common Land Model (CoLM) to estimate the soil moisture in different layers. A proposed forecast error inflation and water balance constraint are adopted in the Ensemble Transform Kalman Filter to reduce the analysis error and water budget residuals. The assimilation results indicate that the analysis error is reduced and the water imbalance is mitigated with this approach.http://dx.doi.org/10.1155/2016/4569218 |
| spellingShingle | Guocan Wu Bo Dan Xiaogu Zheng Soil Moisture Assimilation Using a Modified Ensemble Transform Kalman Filter Based on Station Observations in the Hai River Basin Advances in Meteorology |
| title | Soil Moisture Assimilation Using a Modified Ensemble Transform Kalman Filter Based on Station Observations in the Hai River Basin |
| title_full | Soil Moisture Assimilation Using a Modified Ensemble Transform Kalman Filter Based on Station Observations in the Hai River Basin |
| title_fullStr | Soil Moisture Assimilation Using a Modified Ensemble Transform Kalman Filter Based on Station Observations in the Hai River Basin |
| title_full_unstemmed | Soil Moisture Assimilation Using a Modified Ensemble Transform Kalman Filter Based on Station Observations in the Hai River Basin |
| title_short | Soil Moisture Assimilation Using a Modified Ensemble Transform Kalman Filter Based on Station Observations in the Hai River Basin |
| title_sort | soil moisture assimilation using a modified ensemble transform kalman filter based on station observations in the hai river basin |
| url | http://dx.doi.org/10.1155/2016/4569218 |
| work_keys_str_mv | AT guocanwu soilmoistureassimilationusingamodifiedensembletransformkalmanfilterbasedonstationobservationsinthehairiverbasin AT bodan soilmoistureassimilationusingamodifiedensembletransformkalmanfilterbasedonstationobservationsinthehairiverbasin AT xiaoguzheng soilmoistureassimilationusingamodifiedensembletransformkalmanfilterbasedonstationobservationsinthehairiverbasin |