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
Influence of Surface Observations in Mesoscale Data Assimilation Using an Ensemble
Kalman Filter in: Monthly Weather Review Volume 142 Issue 4 (2014) Jump to Content
Jump to Main Navigation Logo Logo Logo Logo Logo Logo JOURNALS Artificial …
- 238000004458 analytical method 0 abstract description 62
Classifications
-
- 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
- G01W1/10—Devices for predicting weather conditions
-
- 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
-
- 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
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/28—Details of pulse systems
- G01S7/285—Receivers
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) | |
Dowell et al. | Additive noise for storm-scale ensemble data assimilation | |
Fujita et al. | Surface data assimilation using an ensemble Kalman filter approach with initial condition and model physics uncertainties | |
Bieniek et al. | Dynamical downscaling of ERA-Interim temperature and precipitation for Alaska | |
Minder et al. | The character and causes of elevation-dependent warming in high-resolution simulations of Rocky Mountain climate change | |
Rasmussen et al. | Convective initiation near the Andes in subtropical South America | |
Bouttier et al. | Impact of stochastic physics in a convection-permitting ensemble | |
Homeyer et al. | On the development of above-anvil cirrus plumes in extratropical convection | |
Schwartz et al. | NCAR’s experimental real-time convection-allowing ensemble prediction system | |
Sahany et al. | Temperature–moisture dependence of the deep convective transition as a constraint on entrainment in climate models | |
Choi et al. | ENSO transition, duration, and amplitude asymmetries: Role of the nonlinear wind stress coupling in a conceptual model | |
Ballard et al. | Performance of 4D‐Var NWP‐based nowcasting of precipitation at the Met Office for summer 2012 | |
Surcel et al. | A study on the scale dependence of the predictability of precipitation patterns | |
Jung et al. | Ensemble Kalman filter analyses of the 29–30 May 2004 Oklahoma tornadic thunderstorm using one-and two-moment bulk microphysics schemes, with verification against polarimetric radar data | |
Li et al. | Modeling land surface processes and heavy rainfall in urban environments: Sensitivity to urban surface representations | |
Kirtman | The COLA anomaly coupled model: Ensemble ENSO prediction | |
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 | |
Davis et al. | Customization of RegCM3 regional climate model for eastern Africa and a tropical Indian Ocean domain | |
Saulo et al. | Synergism between the low-level jet and organized convection at its exit region | |
Mansell | Storm-scale ensemble Kalman filter assimilation of total lightning flash-extent data | |
Ancell | Nonlinear characteristics of ensemble perturbation evolution and their application to forecasting high-impact events | |
Bechini et al. | An enhanced optical flow technique for radar nowcasting of precipitation and winds | |
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 | |
Ha et al. | A comparison of model error representations in mesoscale ensemble data assimilation |