large-scale hydrological model river storage and discharge correction using a satellite altimetry-based discharge product
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2018
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Abstract
Land surface models (LSMs) are widely used to study the continental
part of the water cycle. However, even though their accuracy is increasing,
inherent model uncertainties can not be avoided. In the meantime, remotely
sensed observations of the continental water cycle variables such as soil
moisture, lakes and river elevations are more frequent and accurate.
Therefore, those two different types of information can be combined, using
data assimilation techniques to reduce a model's uncertainties in its state
variables or/and in its input parameters. The objective of this study is to
present a data assimilation platform that assimilates into the large-scale
ISBA-CTRIP LSM a punctual river discharge product, derived from ENVISAT nadir
altimeter water elevation measurements and rating curves, over the whole
Amazon basin. To deal with the scale difference between the model and the
observation, the study also presents an initial development for a
localization treatment that allows one to limit the impact of observations to
areas close to the observation and in the same hydrological network. This
assimilation platform is based on the ensemble Kalman filter and can correct
either the CTRIP river water storage or the discharge. Root mean square
error (RMSE) compared to gauge discharges is globally reduced until 21 %
and at Óbidos, near the outlet, RMSE is reduced by up to 52 %
compared to ENVISAT-based discharge. Finally, it is shown that localization
improves results along the main tributaries.
| Reference Key |
emery2018hydrologylarge-scale
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|---|---|
| Authors | ;C. M. Emery;C. M. Emery;A. Paris;A. Paris;A. Paris;A. Paris;S. Biancamaria;A. Boone;S. Calmant;P.-A. Garambois;J. Santos da Silva |
| Journal | materials research bulletin |
| Year | 2018 |
| DOI |
10.5194/hess-22-2135-2018
|
| URL | |
| Keywords |
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