Roebber, 2009 - Google Patents
Visualizing multiple measures of forecast qualityRoebber, 2009
View HTML- Document ID
- 15873441663061544780
- Author
- Roebber P
- Publication year
- Publication venue
- Weather and Forecasting
External Links
Snippet
A method for visually representing multiple measures of dichotomous (yes–no) forecast quality (probability of detection, false alarm ratio, bias, and critical success index) in a single diagram is presented. Illustration of the method is provided using performance statistics from …
- 238000010586 diagram 0 abstract description 27
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
- G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover, wind speed
- G01W1/06—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover, wind speed giving a combined indication of 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
- 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
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Roebber | Visualizing multiple measures of forecast quality | |
| DeMaria et al. | A new method for estimating tropical cyclone wind speed probabilities | |
| Cintineo et al. | The NOAA/CIMSS ProbSevere model: Incorporation of total lightning and validation | |
| Murakami et al. | Influence of model biases on projected future changes in tropical cyclone frequency of occurrence | |
| Sampson et al. | Tropical cyclone gale wind radii estimates for the western North Pacific | |
| Amburn et al. | VIL density as a hail indicator | |
| Edwards et al. | Convective modes for significant severe thunderstorms in the contiguous United States. Part III: Tropical cyclone tornadoes | |
| Marchok | Important factors in the tracking of tropical cyclones in operational models | |
| Villarini et al. | North Atlantic power dissipation index (PDI) and accumulated cyclone energy (ACE): Statistical modeling and sensitivity to sea surface temperature changes | |
| Mecikalski et al. | A random-forest model to assess predictor importance and nowcast severe storms using high-resolution radar–GOES satellite–lightning observations | |
| Hall et al. | North American tropical cyclone landfall and SST: A statistical model study | |
| Chen et al. | ENSO precipitation and temperature forecasts in the North American Multimodel Ensemble: Composite analysis and validation | |
| Wu et al. | Evaluation of radar precipitation estimates from the National Mosaic and Multisensor Quantitative Precipitation Estimation System and the WSR-88D precipitation processing system over the conterminous United States | |
| Gravelle et al. | Demonstration of a GOES-R satellite convective toolkit to “bridge the gap” between severe weather watches and warnings: An example from the 20 May 2013 Moore, Oklahoma, tornado outbreak | |
| Hanstrum et al. | The cool-season tornadoes of California and southern Australia | |
| Tamizi et al. | Global scatterometer observations of the structure of tropical cyclone wind fields | |
| Grecu et al. | Assessment of the use of lightning information in satellite infrared rainfall estimation | |
| Liu et al. | Identifying Doppler velocity contamination caused by migrating birds. Part II: Bayes identification and probability tests | |
| Shafer et al. | A statistical procedure to forecast warm season lightning over portions of the Florida peninsula | |
| Ruth et al. | The performance of MOS in the digital age | |
| Casellas et al. | Nowcasting the precipitation phase combining weather radar data, surface observations, and NWP model forecasts | |
| Sills et al. | From pioneers to practitioners: A short history of severe thunderstorm research and forecasting in Canada | |
| Hart et al. | The challenge of forecasting significant tornadoes from June to October using convective parameters | |
| Smith et al. | WSR-88D tornado intensity estimates. Part II: Real-time applications to tornado warning time scales | |
| Tokay et al. | Comparison of rain gauge measurements in the mid-Atlantic region |