Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter
By G. De Lannoy, Rolf H. Reichle, Paul R. Houser, Valentijn R. N. Pauwels, Niko E. C. Verhoest. 2007
205 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/53f31a695af2def9fb075cd4d233fb2880227b9c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- William A. Lahoz
- Philipp Schneider
- Wolfgang Nowak
- Valentijn R. N. Pauwels
- G. De Lannoy
- Jasper A. Vrugt
- Yuqiong Liu
- M. Clark
In Environmental Engineering
- Jasper A. Vrugt
- Budiman Minasny
- Alex B. McBratney
- Jirka Šimůnek
- Wolfgang Nowak
- Thomas Wöhling
- M. Clark
- William A. Lahoz
In Global and Planetary Change
- Jasper A. Vrugt
- Yuqiong Liu
- Diederik Jacques
- Valentijn R. N. Pauwels
- M. Clark
- Albrecht H. Weerts
- Budiman Minasny
- Alex B. McBratney
Citations in the corpus
- Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities (2012, background): “As such, bias correction must precede or accompany DA to realize the purported optimality (e.g., De Lannoy et al., 2007; Ryu et al., 2009).”
- Ensemble‐based assimilation of discharge into rainfall‐runoff models: A comparison of approaches to mapping observational information to state space (2009, result): “Examples can be found, among many others, in the work by Evensen [1994], Reichle et al. [2002a], De Lannoy et al. [2006, 2007] , and Durand and Margulis [2007].”
- Data assimilation: making sense of Earth Observation (2014, methodology): “…al., 2012); (iv) need to improve representation of observational and model errors, and specify biases in the observational and model information (De Lannoy et al., 2007b; Crow and Reichle, 2008; Reichle et al., 2008; De Lannoy et al., 2009; Crow and van den Berg, 2010); and (v) need to have…”
- The importance of parameter resampling for soil moisture data assimilation into hydrologic models using the particle filter (2011, background): “The improvement of hydrologic model results through the assimilation of soil moisture data has been the subject of numerous studies (Entekhabi et al., 1994; Walker et al., 2002; Pauwels et al., 2002; De Lannoy et al., 2007a).”
- Modeling Soil Processes: Review, Key Challenges, and New Perspectives (2016, background): “In land surface modeling, this involves updating of soil moisture contents with remote sensing information, (e.g., Dunne et al., 2007), or in situ measurements (e.g., De Lannoy et al., 2007), and updating of soil carbon pools in biogeochemistry models, (e.g., Zhou et al., 2013).”