Accelerating the spin-up of Ensemble Kalman Filtering (2008)
Kalnay, Eugenia, Yang, Shu-Chih
A scheme is proposed to improve the performance of the ensemble-based Kalman Filters during the initial spin-up period. By applying the no-cost ensemble Kalman Smoother, this scheme allows the model...
AIRS improving weather forecasting and providing new data on greenhouse gases (2007)
Chahine, Moustafa T., Pagano, Thomas S., Aumann, Hartmut H., Atlas, Robert, Barnet, Christopher, Blaisdell, John, ...
This paper discusses the performance of AIRS and examines how it is meeting its operational and research objectives based on the experience of more than 2 yr with AIRS data. We describe the science...
Liu, Junjie, Fertig, Elana Judith, Li, Hong, Kalnay, Eugenia, Hunt, Brian R., Kostelich, Eric J., ...
This paper explores the potential of Local Ensemble Transform Kalman Filter (LETKF) by comparing the performance of LETKF with an operational 3D-Var assimilation system, Physical-Space Statistical...
A Local Ensemble Kalman Filter for Atmospheric Data Assimilation (2002)
Ott, Edward, Hunt, Brian R., Szunyogh, Istvan, Zimin, Aleksey V., Kostelich, Eric J., Corazza, Matteo, ...
In this paper, we introduce a new, local formulation of the ensemble Kalman Filter approach for atmospheric data assimilation. Our scheme is based on the hypothesis that, when the Earth's surface is...
Applications of the Inverse 3D-Var Method to Data Assimilation (1999)
Introduction The four-dimensional variational data assimilation (4D-Var) using the adjoint model, in which a cost function (weighted squared distance between model solutions and observations) is...
Application of the Quasi-Inverse Method to Data Assimilation (1998)
Four-dimensional variational data assimilation (4D-Var) seeks to find an optimal initial field that minimizes a cost function defined as the squared distance between model solutions and observations...
Isaacs, Ronald G., Kalnay, Eugenia, Ohring, George, McClatchey, Robert A.
A collection of state-of-the-art papers on products from the Defense Meteorological Satellite Program (DMSP) sensors, particularly the SSM/T and SSM/I products are presented. Partial contents...
Improving High Resolution, Geographically Localized, Short-Term Weather Forcasts (1998)
In this report we summarize the main concept and features of the LEKF (Section 2). We provide a brief summary of the results of our experiments with the global forecast models (Section 3) and the...