# keywords[]
Fronts And Atlantic Storm-Track EXperiment (FASTEX)

# keywords[]
Machine Learning And Artificial Intelligence

# keywords[]
0801 Artificial Intelligence And Image Processing

# keywords[]
Moisture Transport Between The Ocean And Atmosphere

# keywords[]
Mesoscale Sea Surface Temperature Feedback To The Atmosphere

# educationAndTraining[].organization.label
Hungarian Academy of Sciences - (Budapest, Hungary)

# publications[].label
A Machine-Learning-Based Global Atmospheric Forecast Model

# publications[].label
Adaptive observations at NCEP: Past, present, and future

# publications[].label
Multivariate localization methods for ensemble Kalman filtering

# publications[].label
Propagation of the effect of targeted observations: The 2000 Winter Storm Reconnaissance program

# publications[].label
Local ensemble Kalman filtering in the presence of model bias

# publications[].label
Correcting for Surface Pressure Background Bias in Ensemble-Based Analyses

# publications[].label
A Local Ensemble Kalman Filter for Atmospheric Data Assimilation

# publications[].label
A comparison of Lyapunov and optimal vectors in a low-resolution GCM

# publications[].label
Assessing the Performance of an Ensemble Forecast System in Predicting the Magnitude and the Spectrum of Analysis and Forecast Uncertainties

# publications[].label
Local ensemble Kalman filtering in the presence of model bias

# publications[].label
Can an ensemble transform Kalman filter predict the reduction in forecast-error variance produced by targeted observations?

# publications[].label
A local ensemble kalman filter for the NCEP GFS model

# publications[].label
Coupled Global-Regional Data Assimilation Using Joint States

# publications[].label
Ensemble regional data assimilation using joint states

# publications[].label
Observation bias correction with an ensemble Kalman filter

# publications[].label
THORPEX RESEARCH AND THE SCIENCE OF PREDICTION

# publications[].label
On the dynamical basis of targeting weather observations

# publications[].label
Challenges and Opportunities in Numerical Weather Prediction

# publications[].label
A composite state method for ensemble data assimilation with multiple limited-area models

# publications[].label
ENSEMBLE DATA ASSIMILATION SIMULATION EXPERIMENTS FOR THE COASTAL OCEAN: IMPACT OF DIFFERENT OBSERVED VARIABLES

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems.

# publications[].label
Extracting envelopes of nonzonally propagating Rossby wave packets

# publications[].label
Applicable atmospheric dynamics: Techniques for the exploration of atmospheric dynamics

# publications[].label
The use of targeted observations in operational numerical weather forecasting

# publications[].label
A Machine-Learning-Based Global Atmospheric Forecast Model

# publications[].label
Targeted observations at NCEP: Toward an operational implementation

# publications[].label
Hybrid Approach to Atmospheric Modeling that Combines Machine Learning with a Physics-Based Numerical Model

# publications[].label
Energetics of the Martian Atmosphere Using the Mars Analysis Correction Data Assimilation (MACDA) Dataset (vol 276, pg 1, 2016)

# publications[].label
A Modeling Strategy for the Investigation of the Effect of Mesoscale SST Variability on Atmospheric Dynamics

# publications[].label
The effect of increased horizontal resolution on the NCEP global ensemble mean forecasts

# publications[].label
The North Pacific Experiment (NORPEX-98): Targeted observations for improved North American weather forecasts

# publications[].label
Predictability of the Performance of an Ensemble Forecast System: Predictability of the Space of Uncertainties

# publications[].label
An Assessment of the Performance of the Operational Global Ensemble Forecast Systems in Predicting the Forecast Uncertainty

# publications[].label
Efficient Data Assimilation for Spatiotemporal Chaos: a Local Ensemble  Transform Kalman Filter

# publications[].label
Predicting the influence of observations on medium-range forecasts of atmospheric flow

# publications[].label
Univariate and Multivariate Assimilation of AIRS Humidity Retrievals with the Local Ensemble Transform Kalman Filter

# publications[].label
Assimilating non-local observations with a local ensemble Kalman filter

# publications[].label
Tropical Cyclone Ensemble Data Assimilation

# publications[].label
Estimating the state of large spatio-temporally chaotic systems

# publications[].label
Ensemble forecasting and data assimilation: two problems with the same solution?

# publications[].label
The effect of targeted dropsonde observations during the 1999 winter storm reconnaissance program

# publications[].label
Applicable Atmospheric Dynamics, Techniques for the Exploration of Atmospheric Dynamics

# publications[].label
4D ensemble Kalman filtering for assimilation of asynchronous observations

# publications[].label
Comments on "What Is the Predictability Limit of Midlatitude Weather?"

# publications[].label
Assimilation of Tropical Cyclone Observations: Improving the Assimilation of TCVitals, Scatterometer Winds, and Dropwindsonde Observations

# publications[].label
Mechanisms for the development of locally low-dimensional atmospheric dynamics

# publications[].label
A local ensemble Kalman filter for atmospheric data assimilation

# publications[].label
Evaluation of a Strategy for the Assimilation of Satellite Radiance Observations with the Local Ensemble Transform Kalman Filter

# publications[].label
Forecast Uncertainty Dynamics in the THORPEX Interactive Grand Global Ensemble (TIGGE)

# publications[].label
A Technique for the Verification of Precipitation Forecasts and Its Application to a Problem of Predictability

# publications[].label
Energetics of the martian atmosphere using the Mars Analysis Correction Data Assimilation (MACDA) dataset

# publications[].label
Hybrid Approach to Atmospheric Modeling that Combines Machine Learning with a Physics-Based Numerical Model

# publications[].label
Assessing a local ensemble Kalman filter: perfect model experiments with the National Centers for Environmental Prediction global model

# publications[].label
Local Dynamics of Baroclinic Waves in the Martian Atmosphere

# publications[].label
A Hybrid Approach to Atmospheric Modeling That Combines Machine Learning With a Physics-Based Numerical Model

# publications[].label
A local ensemble transform Kalman filter data assimilation system for the NCEP global model

# publications[].label
Comparison between Local Ensemble Transform Kalman Filter and PSAS in  the NASA finite volume GCM: perfect model experiments

# publications[].label
Use of the breeding technique to estimate the structure of the analysis "errors of the day"

# publications[].label
Local predictability in a simple model of atmospheric balance

# publications[].label
Observation Quality Control with a Robust Ensemble Kalman Filter

# publications[].label
Ensemble-based targeting experiments during FASTEX: The effect of dropsonde data from the Lear jet

# publications[].label
Local low dimensionality and relation to effects of targeted weather observations

# publications[].label
Observation bias correction with an ensemble Kalman filter

# publications[].label
Tropical Cyclone Ensemble Data Assimilation

# publications[].label
Extracting envelopes of Rossby wave packets

# publications[].label
Application of local ensemble transform Kalman filter: Perfect model experiments with NASA FVGCM model

# publications[].label
Prediction Beyond the Medium Range With an AtmosphereOcean Model That Combines PhysicsBased Modeling and Machine Learning

# publications[].label
Tropical Cyclone Ensemble Data Assimilation

# publications[].label
Comments on: "Notes on the appropriateness of 'bred modes' for generating initial perturbations"

# publications[].label
A local ensemble Kalman filter for the NCEP GFS model

# publications[].label
How well can an ensemble predict the uncertainty in the location of winter storm precipitation?

# publications[].label
A simulation study using a local ensemble transform Kalman filter for data assimilation in New York Harbor

# publications[].label
Comparison between Local Ensemble Transform Kalman Filter and PSAS in the NASA finite volume GCM - perfect model experiments

# publications[].label
IMPROVED ANALYSES AND FORECASTS WITH AIRS TEMPERATURE RETRIEVALS USING THE LOCAL ENSEMBLE TRANSFORM KALMAN FILTER

# publications[].label
On the Propagation of Information and the Use of Localization in Ensemble Kalman Filtering

# publications[].label
Hybrid Approach to Atmospheric Modeling that Combines Machine Learning with a Physics-Based Numerical Model

# publications[].label
Can a Moderate-Resolution Limited-Area Data Assimilation System Add Value to the Global Analysis of Tropical Cyclones?

# publications[].label
A Machine Learning-Based Global Atmospheric Forecast Model

# publications[].label
Using Data Assimilation to Train a Hybrid Forecast System that Combines  Machine-Learning and Knowledge-Based Components

# publications[].label
Extracting envelopes of Rossby wave packets

# publications[].label
Wave energetics of the southern hemisphere of Mars

# publications[].label
Localized error bursts in estimating the state of spatiotemporal chaos.

# publications[].label
Simultaneous global and limited-area ensemble data assimilation using joint states

# publications[].label
Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components.

# publications[].label
Combining Machine Learning with Knowledge-Based Modeling for Scalable  Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal  Systems

# publications[].label
Using large member ensembles to isolate local low dimensionality of atmospheric dynamics

# publications[].label
An ensemble Kalman filter data assimilation system for the martian atmosphere: Implementation and simulation experiments

# publications[].label
A Statistical Investigation of the Sensitivity of Ensemble-Based Kalman Filters to Covariance Filtering

# publications[].label
A local ensemble transform Kalman filter data assimilation system for the NCEP global model

# publications[].label
Assessing a local ensemble Kalman filter: perfect model experiments with the National Centers for Environmental Prediction global model

# publications[].label
Improved analyses and forecasts with airs retrievals using the local ensemble transform Kalman filter

# publications[].label
Coupled Global-Regional Data Assimilation Using Joint States

# publications[].label
4D ensemble Kalman filtering for assimilation of asynchronous observations

# publications[].label
On the propagation of information and the use of localization in  ensemble Kalman filtering

# publications[].label
Use of the breeding technique in the estimation of the background covariance matrix for a quasi-geostrophic model

# publications[].label
Oceanic ensemble forecasting in the Gulf of Mexico: An application to the case of the Deep Water Horizon oil spill

# publications[].label
A Hybrid Atmospheric Model Incorporating Machine Learning Can Capture Dynamical Processes Not Captured by Its Physics-Based Component

# publications[].label
Evaluation of a Coupled Modeling Approach for the Investigation of the Effects of SST Mesoscale Variability on the Atmosphere

# publications[].label
A Hybrid Atmospheric Model Incorporating Machine Learning Can Capture Dynamical Processes Not Captured by Its Physics-Based Component

# publications[].label
Evaluation of a Coupled Modeling Approach for the Investigation of the Effects of SST Mesoscale Variability on the Atmosphere

# publications[].label
Sensitivity of forecast errors to initial conditions with a quasi-inverse linear method

# publications[].label
Multivariate localization methods for ensemble Kalman filtering

# publications[].label
A Morphing-Based Technique for the Verification of Precipitation Forecasts

# publications[].label
Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter

# publications[].label
Strategies for coupling global and limited-area ensemble Kalman filter assimilation

# publications[].label
Assessing predictability with a local ensemble Kalman filter

# researcherOn[].awardedBy.label
United States Department of the Navy - (Arlington, Virginia, United States)

# researcherOn[].label
Investigation of the Effects of Oceanic Mesoscale Eddies on the Midlatitude Storm Tracks and Their Predictability

# researcherOn[].awardedBy.label
National Oceanic and Atmospheric Administration - (Washington D.C., District of Columbia, United States)

# researcherOn[].label
Regionally Enhanced Global (REG) Local Ensemble Transform Kalman Filter (LETKF)

# researcherOn[].awardedBy.label
United States Department of the Navy - (Arlington, Virginia, United States)

# researcherOn[].label
Coupled Global-Regional Data Assimilation with NAVDAS-AR

# researcherOn[].awardedBy.label
United States Department of the Navy - (Arlington, Virginia, United States)

# researcherOn[].label
NSF: the Effect of Model Uncertainty and Erro On the Forecast Uncertainty

# researcherOn[].awardedBy.label
National Science Foundation - (Arlington, Virginia, United States)

# researcherOn[].label
Coupled Global-Regional Data Assimilation Using Joint States

# researcherOn[].awardedBy.label
United States Department of the Navy - (Arlington, Virginia, United States)

# streetAddress
Texas A&M University; Meteorology; 3150 TAMU

# etdChairOf[].label
Kavulich, Michael J., Jr. (2011-08). Local Dynamics of Synoptic Waves in the Martian Atmosphere. Master's Thesis.

# etdChairOf[].label
Han, Fan (2014-12). A Morphing-based Approach for the Verification of Precipitation Forecasts. Master's Thesis.

# etdChairOf[].label
Satterfield, Elizabeth A. (2010-08). Linear Diagnostics to Assess the Performance of an Ensemble Forecast System. Doctoral Dissertation.

# etdChairOf[].label
Loeser, Carlee Frances (2016-08). An Assessment of the Performance of the Operational Global Ensemble Forecast Systems in Predicting the Forecast Uncertainty. Master's Thesis.

# etdChairOf[].label
Holt, Christina (2014-05). Tropical Cyclone Data Assimilation: Experiments with a Coupled Global-Limited-Area Analysis System. Doctoral Dissertation.

# etdChairOf[].label
Holt, Christina (2011-08). Testing a Coupled Global-limited-area Data Assimilation System Using Observations from the 2004 Pacific Typhoon Season. Master's Thesis.

# etdChairOf[].label
Herrera, Michael Aaron (2014-12). An Investigation of the Dynamics of Forecast Errors and Its Representation in the THORPEX Interactive Grand Global Ensemble (TIGGE). Master's Thesis.