Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Search by expertise, name or affiliation
Assimilating AIRS temperature and mixing ratio profiles using an ensemble kalman filter approach for convective-scale forecasts
Thomas A. Jones,
David J. Stensrud
Meteorology and Atmospheric Science
Research output
:
Contribution to journal
›
Article
›
peer-review
35
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Assimilating AIRS temperature and mixing ratio profiles using an ensemble kalman filter approach for convective-scale forecasts'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Mixing Ratio
100%
Kalman Filter Algorithm
100%
Ensemble Kalman Filter (EnKF)
100%
Scale Forecast
100%
Temperature Ratio
100%
Convective-scale
100%
Atmospheric Infrared Sounder
100%
Dew Point
42%
Ensemble Forecast
42%
Ensemble Mean
28%
High-resolution
14%
Convection
14%
Numerical Weather Prediction
14%
Ensemble Model
14%
Radar Reflectivity
14%
Forecast Model
14%
Contiguous United States
14%
Aqua Satellite
14%
Severe Weather Events
14%
Weather Surveillance Radar
14%
Nested Grid
14%
Doppler Observation
14%
Forecast Ensembles
14%
Earth and Planetary Sciences
Mixing Ratio
100%
United States
50%
Reflectance
50%
Satellite Data
50%
Data Product
50%
Severe Weather
50%
Aqua (Satellite)
50%
Thermodynamics
50%