An extension of data assimilation into the short-term hydrologic forecast for improved prediction reliability

Author:

Leach James M.,Coulibaly Paulin

Funder

NSERC

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference62 articles.

1. On the incidence of meteorological and hydrological processors: effect of resolution, sharpness and reliability of hydrological ensemble forecasts;Abaza;J. Hydrol.,2017

2. The quest for model uncertainty quantification: a hybrid ensemble and variational data assimilation framework;Abbaszadeh;Water Resour. Res.,2019

3. Enhancing hydrologic data assimilation by evolutionary particle filter and Markov Chain Monte Carlo;Abbaszadeh;Adv. Water Resour.,2018

4. Agriculture and Agri-Food Canada, 2015. Land Use 1990, 2000 and 2010 (LU1990, LU2000, LU2010) [WWW Document]. https://open.canada.ca/data/en/dataset/18e3ef1a-497c-40c6-8326-aac1a34a0dec(accessed 12.1.17).

5. An introduction to Kernel and nearest-neighbor nonparametric regression;Altman;Am. Stat.,1992

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