Ha et al., 2014 - Google Patents
Influence of surface observations in mesoscale data assimilation using an ensemble Kalman filterHa et al., 2014
View HTML- Document ID
- 9234344458737234722
- Author
- Ha S
- Snyder C
- Publication year
- Publication venue
- Monthly Weather Review
External Links
Snippet
The assimilation of surface observations using an ensemble Kalman filter (EnKF) approach was successfully performed in the Advanced Research version of the Weather Research and Forecasting Model (WRF) coupled with the Data Assimilation Research Testbed (DART) …
- 238000004458 analytical method 0 abstract description 62
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/10—Devices for predicting weather conditions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/08—Adaptations of balloons, missiles, or aircraft for meteorological purposes; Radiosondes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover, wind speed
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
- G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. correcting range migration errors
- G01S13/9035—Particular SAR processing techniques not provided for elsewhere, e.g. squint mode, doppler beam-sharpening mode, spotlight mode, bistatic SAR, inverse SAR
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Ha et al. | Influence of surface observations in mesoscale data assimilation using an ensemble Kalman filter | |
Li et al. | Assimilation of radar radial velocity data with the WRF hybrid ensemble–3DVAR system for the prediction of Hurricane Ike (2008) | |
Gagne et al. | Storm-based probabilistic hail forecasting with machine learning applied to convection-allowing ensembles | |
Bieniek et al. | Dynamical downscaling of ERA-Interim temperature and precipitation for Alaska | |
Neelin et al. | The transition to strong convection | |
Ballard et al. | Performance of 4D‐Var NWP‐based nowcasting of precipitation at the Met Office for summer 2012 | |
Dowell et al. | Additive noise for storm-scale ensemble data assimilation | |
Carbone et al. | Inferences of predictability associated with warm season precipitation episodes | |
Simonin et al. | Doppler radar radial wind assimilation using an hourly cycling 3D‐Var with a 1.5 km resolution version of the Met Office Unified Model for nowcasting | |
Roh et al. | Evaluation of precipitating hydrometeor parameterizations in a single-moment bulk microphysics scheme for deep convective systems over the tropical central Pacific | |
Surcel et al. | A study on the scale dependence of the predictability of precipitation patterns | |
Kirtman | The COLA anomaly coupled model: Ensemble ENSO prediction | |
Sahany et al. | Temperature–moisture dependence of the deep convective transition as a constraint on entrainment in climate models | |
Schwartz et al. | Impact of assimilating microwave radiances with a limited-area ensemble data assimilation system on forecasts of Typhoon Morakot | |
Tong et al. | Design strategies of an hourly update 3DVAR data assimilation system for improved convective forecasting | |
Davis et al. | Customization of RegCM3 regional climate model for eastern Africa and a tropical Indian Ocean domain | |
Mansell | Storm-scale ensemble Kalman filter assimilation of total lightning flash-extent data | |
Kong et al. | Assimilation of GOES-R Geostationary Lightning Mapper flash extent density data in GSI EnKF for the analysis and short-term forecast of a mesoscale convective system | |
Squitieri et al. | WRF forecasts of Great Plains nocturnal low-level jet-driven MCSs. Part I: Correlation between low-level jet forecast accuracy and MCS precipitation forecast skill | |
Wainwright et al. | Diagnosing the intercept parameters of the exponential drop size distributions in a single-moment microphysics scheme and impact on supercell storm simulations | |
Ancell | Nonlinear characteristics of ensemble perturbation evolution and their application to forecasting high-impact events | |
Powell et al. | Comparison of simulated and observed continental tropical anvil clouds and their radiative heating profiles | |
Gervais et al. | How well are the distribution and extreme values of daily precipitation over North America represented in the Community Climate System Model? A comparison to reanalysis, satellite, and gridded station data | |
Kumar et al. | Multiscale evaluation of the improvements in surface snow simulation through terrain adjustments to radiation | |
Wang et al. | Sensitivities of the NCEP global forecast system |