Data assimilation : making sense of observations
By William A. Lahoz, B. Khattatov, Richard Menard. 2010
298 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/88d425ad8af926e008e77be00fce368ac6221279
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Alberto Carrassi
- Marc Bocquet
- Laurent Bertino
- William A. Lahoz
- Geir Evensen
- Philipp Schneider
- Pradeep Ruwan Padmasiri Galbokka Hewage
- Ardhendu Behera
Citations in the corpus
- Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station (2020, background): “Lahoz et al. (2010) argued that low-resolution weather prediction could be made using only surface weather parameters.”
- Data assimilation in the geosciences: An overview of methods, issues, and perspectives (2017, methodology): “…x0 for the strong-constraint case, together with the use of the adjoint methods (Lions, 1971), have made possible the successful use and diffusion of strong-constraint variational methods, or some suitable approximation of them, in atmospheric and oceanic DA (see Kalnay, 2002; Talagrand, 2010).”
- Data assimilation: making sense of Earth Observation (2014, background): “Details of how altimeter satellite data and in situ T/S data are assimilated into ocean systems can be found in Haines (2010).”