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Tellus A: Dynamic Meteorology and Oceanography Volume 53, 2001 - Issue 3

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Original Articles

Temporal evolution of innovation and residual statistics in the ECMWF variational data assimilation systems

Heikki JärvinenEuropean Centre for Medium-Range Weather Forecasts, Shinfield Park, RG2 9AX, Reading, Berkshire, UKCorrespondence[email protected]

Pages 333-347 | Received 04 Oct 1999, Accepted 24 Oct 2000, Published online: 15 Dec 2016

Cite this article
https://doi.org/10.3402/tellusa.v53i3.12192

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Articles from other publishers (4)

Yanjun Gan, Yu Zhang, Yuqiong Liu, Cezar Kongoli & Christopher Grassotti. (2022) Assimilation of blended in situ-satellite snow water equivalent into the National Water Model for improving hydrologic simulation in two US river basins. Science of The Total Environment 838, pages 156567.
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Joshua Chun Kwang Lee & Xiang-Yu Huang. 2022. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV). Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) 599 627 .

Sayed A. Mekhaimr & M.M. Abdel Wahab. (2019) Sources of uncertainty in atmospheric dispersion modeling in support of Comprehensive Nuclear–Test–Ban Treaty monitoring and verification system. Atmospheric Pollution Research 10:5, pages 1383-1395.
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R. N. Bannister. (2008) A review of forecast error covariance statistics in atmospheric variational data assimilation. I: Characteristics and measurements of forecast error covariances. Quarterly Journal of the Royal Meteorological Society 134:637, pages 1951-1970.
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