The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The assimilation of remotely sensed soil brightness temperature imagery into a land surface model using Ensemble Kalman filtering: a case study based on ESTAR measurements during SGP97
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Citations
Cites
Evensen, G. (1994) · Journal of Geophysical Research: Oceans · doi:10.1029/94jc00572 · Cited by 5,371
Cited by
The Ensemble Kalman Filter: theoretical formulation and practical implementation
Evensen, G. (2003) · Ocean Dynamics · doi:10.1007/s10236-003-0036-9 · Cited by 4,420
Wang, K., & Dickinson, R. E. (2012) · Reviews of Geophysics · doi:10.1029/2011rg000373 · Cited by 1,504
On the value of soil moisture measurements in vadose zone hydrology: A review
Vereecken, H., Huisman, J. A., Bogena, H., Vanderborght, J., Vrugt, J. A., & Hopmans, J. W. (2008) · Water Resources Research · doi:10.1029/2008wr006829 · Cited by 872
El Hajj, M., Baghdadi, N., Zribi, M., & Bazzi, H. (2017) · Remote Sensing · doi:10.3390/rs9121292 · Cited by 377
Zhan, W., Chen, Y., Zhou, J., Wang, J., Liu, W., Voogt, J., Zhu, X., Quan, J., & Li, J. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.12.014 · Cited by 371
Metadata
- Authors
- Crow, W. T., & Wood, E. F.
- Venue
- Advances in Water Resources
- Publisher
- Elsevier BV
- Published
- 2003-02
- Volume
- 26
- Issue
- 2
- Pages
- 137-149
- ISSN
- 0309-1708 (ISSN-L)
- OpenAlex
- W2115584735
- Cited by
- 368
- References
- 1
- FWCI
- 14.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The assimilation of remotely sensed soil brightness temperature imagery into a land surface model using Ensemble Kalman filtering: a case study based on ESTAR measurements during SGP97. https://app.cochat.ai/papers/10.1016/s0309-1708(02)00088-x
- The paper
- Crow, W. T., & Wood, E. F. (2003). The assimilation of remotely sensed soil brightness temperature imagery into a land surface model using Ensemble Kalman filtering: a case study based on ESTAR measurements during SGP97. Advances in Water Resources. https://doi.org/10.1016/s0309-1708(02)00088-x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.