Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities

Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities

Data assimilation (DA) holds considerable potential for improving hydrologic predictions as demonstrated in numerous research studies. However, advances in hydrologic DA research have not been adequately or timely implemented in operational forecast systems to improve the skill of forecasts for bett...

Full description

Bibliographic Details
Main Authors:	Y. Liu, A. H. Weerts, M. Clark, H.-J. Hendricks Franssen, S. Kumar, H. Moradkhani, D.-J. Seo, D. Schwanenberg, P. Smith, A. I. J. M. van Dijk, N. van Velzen, M. He, H. Lee, S. J. Noh, O. Rakovec, P. Restrepo
Format:	Article
Language:	English
Published:	Copernicus Publications 2012-10-01
Series:	Hydrology and Earth System Sciences
Online Access:	http://www.hydrol-earth-syst-sci.net/16/3863/2012/hess-16-3863-2012.pdf

Similar Items

Hydrologic Remote Sensing and Land Surface Data Assimilation
by: Hamid Moradkhani
Published: (2008-05-01)

State updating of a distributed hydrological model with Ensemble Kalman Filtering: effects of updating frequency and observation network density on forecast accuracy
by: O. Rakovec, et al.
Published: (2012-09-01)

Variational data assimilation with the YAO platform for hydrological forecasting
by: A. Abbaris, et al.
Published: (2014-09-01)

Multivariate hydrological data assimilation of soil moisture and groundwater head
by: D. Zhang, et al.
Published: (2016-10-01)

Operational hydrological data assimilation with the recursive ensemble Kalman filter
by: H. K. McMillan, et al.
Published: (2013-01-01)

Data assimilation in integrated hydrological modelling in the presence of observation bias
by: J. Rasmussen, et al.
Published: (2016-05-01)

Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation
by: A. I. Gevaert, et al.
Published: (2018-09-01)

Variational assimilation of streamflow into operational distributed hydrologic models: effect of spatiotemporal scale of adjustment
by: H. Lee, et al.
Published: (2012-07-01)

Spatial horizontal correlation characteristics in the land data assimilation of soil moisture
by: X. Han, et al.
Published: (2012-05-01)

Operational aspects of asynchronous filtering for flood forecasting
by: O. Rakovec, et al.
Published: (2015-06-01)

Residual uncertainty estimation using instance-based learning with applications to hydrologic forecasting
by: O. Wani, et al.
Published: (2017-08-01)

Global 5 km resolution estimates of secondary evaporation including irrigation through satellite data assimilation
by: A. I. J. M. van Dijk, et al.
Published: (2018-09-01)

On the choice of calibration metrics for “high-flow” estimation using hydrologic models
by: N. Mizukami, et al.
Published: (2019-06-01)

Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin
by: N. Tangdamrongsub, et al.
Published: (2015-04-01)

Analysis of the impact of climate change on groundwater related hydrological fluxes: a multi-model approach including different downscaling methods
by: S. Stoll, et al.
Published: (2011-01-01)

Estimation of predictive hydrological uncertainty using quantile regression: examples from the National Flood Forecasting System (England and Wales)
by: A. H. Weerts, et al.
Published: (2011-01-01)

A hydrography upscaling method for scale-invariant parametrization of distributed hydrological models
by: D. Eilander, et al.
Published: (2021-09-01)

A study on WRF radar data assimilation for hydrological rainfall prediction
by: J. Liu, et al.
Published: (2013-08-01)

Sequential data assimilation for real-time probabilistic flood inundation mapping
by: K. Jafarzadegan, et al.
Published: (2021-09-01)

TerrSysMP–PDAF (version 1.0): a modular high-performance data assimilation framework for an integrated land surface–subsurface model
by: W. Kurtz, et al.
Published: (2016-04-01)

Assimilation of probabilistic flood maps from SAR data into a coupled hydrologic–hydraulic forecasting model: a proof of concept
by: C. Di Mauro, et al.
Published: (2021-07-01)

Improved large-scale hydrological modelling through the assimilation of streamflow and downscaled satellite soil moisture observations
by: P. López López, et al.
Published: (2016-07-01)

Improving the characterization of initial condition for ensemble streamflow prediction using data assimilation
by: C. M. DeChant, et al.
Published: (2011-11-01)

Discharge simulations performed with a hydrological model using bias corrected regional climate model input
by: S. C. van Pelt, et al.
Published: (2009-12-01)

Using ensemble data assimilation to forecast hydrological flumes
by: I. Amour, et al.
Published: (2013-11-01)

Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?
by: M. Mazzoleni, et al.
Published: (2017-02-01)

Forecasting dryland vegetation condition months in advance through satellite data assimilation
by: Siyuan Tian, et al.
Published: (2019-01-01)

Improving soil moisture and runoff simulations at 3 km over Europe using land surface data assimilation
by: B. S. Naz, et al.
Published: (2019-01-01)

Assimilating in situ and radar altimetry data into a large-scale hydrologic-hydrodynamic model for streamflow forecast in the Amazon
by: R. C. D. Paiva, et al.
Published: (2013-07-01)

Verification of inflow into hydropower reservoirs using ensemble forecasts of the TIGGE database for large scale basins in Brazil
by: Fernando Mainardi Fan, et al.
Published: (2015-09-01)

The TERENO-Rur Hydrological Observatory: A Multiscale Multi-Compartment Research Platform for the Advancement of Hydrological Science
by: H.R. Bogena, et al.
Published: (2018-06-01)

Data assimilation in integrated hydrological modeling using ensemble Kalman filtering: evaluating the effect of ensemble size and localization on filter performance
by: J. Rasmussen, et al.
Published: (2015-07-01)

The benefits of spatial resolution increase in global simulations of the hydrological cycle evaluated for the Rhine and Mississippi basins
by: I. Benedict, et al.
Published: (2019-04-01)

Variational assimilation of remote sensing data for land surface hydrologic applications
by: Reichle, Rolf H. (Rolf Helmut), 1968-
Published: (2005)

On the spatio-temporal analysis of hydrological droughts from global hydrological models
by: G. A. Corzo Perez, et al.
Published: (2011-09-01)

Hybridizing Bayesian and variational data assimilation for high-resolution hydrologic forecasting
by: F. Hernández, et al.
Published: (2018-11-01)

Forecasts and assimilation experiments of the Antarctic ozone hole 2008
by: J. Flemming, et al.
Published: (2011-03-01)

The importance of parameter resampling for soil moisture data assimilation into hydrologic models using the particle filter
by: D. A. Plaza, et al.
Published: (2012-02-01)

A generic method for hydrological drought identification across different climate regions
by: M. H. J. van Huijgevoort, et al.
Published: (2012-08-01)

Generating spatial precipitation ensembles: impact of temporal correlation structure
by: O. Rakovec, et al.
Published: (2012-09-01)