EK
Member Since 1999
Eugenia Kalnay
Distinguished University Professor, University of Maryland College Park
AGU Research
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Advances and Applications of Satellite Data Assimilation of Clouds, Precipitation, and the Ocean
ADVANCES IN DATA ASSIMILATION, PREDICTABILITY, AND UNCERTAINTY QUANTIFICATION III POSTER
nonlinear geophysics | 13 december 2023
Takemasa Miyoshi, Shun Ohishi, Jianyu Liang, Rakes...
This presentation summarizes progress of a research project started in FY2022. This research aims to advance data assimilation, analysis and predictio...
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Estimating Ocean Observation Impacts on Coupled Atmosphere‐Ocean Models Using Ensemble Forecast Sensitivity to Observation (EFSO)
GEOPHYSICAL RESEARCH LETTERS
17 october 2023
Chu-Chun Chang, Tse-Chun Chen, Eugenia Kalnay, Che...
Ensemble Forecast Sensitivity to Observation (EFSO) is a technique that can efficiently identify the beneficial/detrimental impacts of every observ...
Towards a Dynamic Multiscale Wildfire Digital Twin
TOWARD A DIGITAL TWIN OF SUSTAINABLE EARTH AND INFRASTRUCTURE II POSTER
earth and space science informatics | 14 december 2022
Milton Halem, Jan Mandel, Adam Kochanski, sen chia...
Climate change is creating highly favorable regional environments globally, that are inducing wildland fires at explosive spread with historically gre...
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New approach for estimating the ocean observation impacts on coupled assimilation using EFSO
ADVANCES IN DATA ASSIMILATION, PREDICTABILITY, AND UNCERTAINTY QUANTIFICATION IV POSTER
nonlinear geophysics | 14 december 2022
Chu-Chun Chang, Tse-Chun Chen, Eugenia Kalnay
Ensemble Forecast Sensitivity to Observation (EFSO) is a powerful technique that can efficiently identify the beneficial/detrimental impacts of every ...
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Using more "future" data with EFSO/PQC in Reanalysis
DATA ASSIMILATION, REANALYSIS, AND OBSERVING SYSTEM SIMULATION EXPERIMENTS: THEORY AND APPLICATIONS II POSTERS
atmospheric sciences | 11 december 2019
Tse-Chun Chen, Eugenia Kalnay
In reanalysis, it is desirable to use as much information as possible to increase the quality of the resulting dataset. Extending the data assimilatio...
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Estimation and correction of systematic Errors in GFS Using Analysis Increments
ADVANCES IN DATA ASSIMILATION, PREDICTABILITY, AND UNCERTAINTY QUANTIFICATION III POSTERS
nonlinear geophysics | 10 december 2019
Kriti Bhargava, Eugenia Kalnay, James Carton
Systematic forecast errors, arising from model deficiencies, form a significant portion of the total forecast error in weather prediction models like ...
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The Human System and Climate Models: Population, Inequality, Consumption, and Bidirectional Coupling of the Earth and Human Systems.
DECADAL TO MULTIDECADAL CLIMATE VARIABILITY: MECHANISMS, PREDICTABILITY, AND IMPACTS II
global environmental change | 10 december 2019
Eugenia Kalnay, Jorge Rivas, Safa Mote
The Human System has grown dramatically over the last two centuries, becoming strongly dominant within the many subsystems of the Earth System, and is...
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Correcting oscillatory modes in numerical models using singular spectrum analysis and data assimilation
ADVANCES IN DATA ASSIMILATION, PREDICTABILITY, AND UNCERTAINTY QUANTIFICATION I
nonlinear geophysics | 09 december 2019
Eviatar Bach, Venkat Krishnamurthy, A Surjalal Sha...
Singular spectrum analysis (SSA) is a powerful time-series analysis tool which can, among other things, isolate the oscillatory modes in a time-series...
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