2015 - Fellow of the American Academy of Arts and Sciences
2006 - Fellow of the American Association for the Advancement of Science (AAAS)
2005 - Fellow of American Geophysical Union (AGU)
2000 - Member of Academia Europaea
1996 - Member of the National Academy of Engineering For advances in understanding atmospheric dynamics, numerical modeling, and atmospheric predictability and in the quality of U.S. operational weather forecasts.
Eugenia Kalnay mostly deals with Meteorology, Data assimilation, Climatology, Ensemble forecasting and Kalman filter. Eugenia Kalnay performs multidisciplinary study in the fields of Meteorology and Global model via her papers. Eugenia Kalnay combines subjects such as Subspace topology, Algorithm, Covariance and Ensemble Kalman filter with her study of Data assimilation.
Her work carried out in the field of Climatology brings together such families of science as Trend surface analysis, Climate model and Greenhouse gas. Her NCEP/NCAR Reanalysis study integrates concerns from other disciplines, such as Meteorological reanalysis, ERA-40 and Precipitation. Her ERA-40 research includes elements of Atmospheric Model Intercomparison Project, Hindcast and Climate Forecast System.
Her primary scientific interests are in Meteorology, Data assimilation, Climatology, Kalman filter and Ensemble Kalman filter. Her Meteorology study frequently links to other fields, such as Northern Hemisphere. The study incorporates disciplines such as Covariance, Statistics, Atmospheric sciences, Global Forecast System and Ensemble forecasting in addition to Data assimilation.
The Climatology study combines topics in areas such as Climate model and Precipitation. Her work deals with themes such as Assimilation and Algorithm, which intersect with Kalman filter. Her Ensemble Kalman filter research focuses on Applied mathematics and how it relates to Mathematical optimization.
Eugenia Kalnay mainly focuses on Data assimilation, Climatology, Meteorology, Kalman filter and Precipitation. Eugenia Kalnay interconnects Atmosphere, Covariance, Weather forecasting, Numerical weather prediction and Ensemble Kalman filter in the investigation of issues within Data assimilation. The concepts of her Climatology study are interwoven with issues in Spatial ecology, Climate model, Temperate climate and Atmospheric sciences.
Her Meteorology study frequently links to related topics such as Assimilation. Her Kalman filter research is multidisciplinary, relying on both Algorithm and Applied mathematics. Her Precipitation research integrates issues from NICAM and Atmospheric model.
Eugenia Kalnay focuses on Climatology, Data assimilation, Atmospheric sciences, Meteorology and Precipitation. Her studies in Climatology integrate themes in fields like Spatial ecology, Ocean observations and Temperate climate. Her Data assimilation research includes themes of Atmosphere, Weather forecasting, Ensemble Kalman filter, Kalman filter and Assimilation.
Her study on Atmospheric sciences also encompasses disciplines like
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The NCEP/NCAR 40-Year Reanalysis Project
E. Kalnay;M. Kanamitsu;R. Kistler;W. Collins.
Bulletin of the American Meteorological Society (1996)
The NCEP–NCAR 50-Year Reanalysis: Monthly Means CD-ROM and Documentation
Robert Kistler;Eugenia Kalnay;William Collins;Suranjana Saha.
Bulletin of the American Meteorological Society (2001)
Atmospheric Modeling, Data Assimilation and Predictability
Eugenia Kalnay.
(2002)
NORTH AMERICAN REGIONAL REANALYSIS
Fedor Mesinger;Geoff DiMego;Eugenia Kalnay;Kenneth Mitchell.
Bulletin of the American Meteorological Society (2006)
Impact of urbanization and land-use change on climate
Eugenia Kalnay;Ming Cai.
Nature (2003)
AIRS/AMSU/HSB on the Aqua mission: design, science objectives, data products, and processing systems
H.H. Aumann;M.T. Chahine;C. Gautier;M.D. Goldberg.
IEEE Transactions on Geoscience and Remote Sensing (2003)
Ensemble Forecasting at NMC: The Generation of Perturbations
Zoltan Toth;Eugenia Kalnay.
Bulletin of the American Meteorological Society (1993)
Ensemble Forecasting at NCEP and the Breeding Method
Zoltan Toth;Eugenia Kalnay.
Monthly Weather Review (1997)
A local ensemble Kalman filter for atmospheric data assimilation
Edward Ott;Brian R. Hunt;Istvan Szunyogh;Aleksey V. Zimin.
Tellus A (2004)
AIRS: Improving Weather Forecasting and Providing New Data on Greenhouse Gases.
Moustafa T. Chahine;Thomas S. Pagano;Hartmut H. Aumann;Robert Atlas.
Bulletin of the American Meteorological Society (2006)
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