SlideServe
Menu
Préférences
© SlideServe · v2026

Real-Time Comparison of Radar-Corrected Rainfall Estimates with MESONET Gauges

sissy avatar
30 diapositives · 440 Views · Aug 16, 2014

This study presents a novel approach to correct radar rainfall estimates in real-time using MESONET gauges. It focuses on addressing inaccuracies caused by low bright band scenarios. The methodology includes several correction strategies such as uncorrected accumulations, Vertical Profile of Reflectivity (VPR) corrections, and climatological corrections. We compare accumulations based on CAPPI maps and OSP maps, employing automatic VPR identification and modifications. Results show that effective correction enhances rainfall estimation accuracy, essential for both operational forecasting and hydrological studies.

Real-Time Comparison of Radar-Corrected Rainfall Estimates with MESONET Gauges - slide 1
01 / 30Real-Time Comparison of Radar-Corrected Rainfall Estimates with MESONET Gauges
1 / 17

Télécharger la présentation

Real-Time Comparison of Radar-Corrected Rainfall Estimates with MESONET Gauges
Une image / un lien ci-dessous est fourni (tel quel) pour télécharger la présentation

Politique de téléchargement : le contenu du site vous est fourni TEL QUEL pour votre information et votre usage personnel ; il ne peut être vendu, concédé sous licence ni partagé sur d’autres sites sans l’accord de son auteur.Le contenu vous est fourni TEL QUEL, pour votre information et votre usage personnel uniquement. Téléchargez la présentation en cliquant sur ce lien. Lors du téléchargement, si vous ne parvenez pas à télécharger une présentation, l’éditeur a peut-être supprimé le fichier de son serveur.Pendant le téléchargement, si vous ne parvenez pas à obtenir une présentation, le fichier a peut-être été supprimé par l’éditeur.

F I N

Plus de contenu associé

Transcription de la présentation
  1. Real-Time Comparisons of Radar Corrected Rainfall Estimates with MESONET Gauges • Correction is essential in Low Bright Band Cases • Real-time accumulations produced by RAPID: 1- Uncorrected (C0) 2- VPR correct the 1-hr C0 accums (C1) 3- VPR correct every “lowest” CAPPI map, then accumulate (C2) (Use observed and simulated VPR in #2 and #3) 4- Climatological Correction (C3) (applied to every “lowest” CAPPI map)

  2. Mesonet Gauge Locations 120 km

  3. UNCORRECTED C1 CORRECTED 1. Accumulations based on CAPPIs at a pre-defined height (1.5 to 2.5 km) (Correction applied to the 1-h accumulations as a function of range) a) dBZ = VPR[ CAPPI height ] - VPR[ Ref. height ](For each of the 5 VPRs) (Ref. Ht: 0.2 to 0.4 km above visibility height, or at BB top if contaminated by low BB) b) Beyond 110 km, apply Gaussian smoother (vertical) to last VPR dBZ = VPRG[H(range)] – VPRLast[ Ref. height ] c) Interpolate dBZ at every km and convert it into a rainfall rate factor d) Multiply uncorrected 1-h accumulations and integrate for total rainfall

  4. 2. Accumulations based on OSPmaps (C3) (Optimum Surface Precipitation) (Correction performed at every radar cycle and for every pixel) a) Lowest pixel (~1.3 km) up to 90 km. 2nd elevation angle afterwards - dBZ is obtained from VPR as in (1) to modify reflectivity at selected height b) Automatic VPR identification and correction - Should we avoid rather than correctfor bright band ? (CORRECT) c) No dBZ adjustment for convective pixels ( > 32 dBZ 2 km above BB height) UVIL (above 3.5 km) > 1 or 2 kg/m2 - Separate Z-R for stratiform and convective pixels d) Knowledge of 0º isotherm from model forecasts prevents correction in cases of low bright band. Reflectivity at BB top is used as reference - Identifies low level growth due to warm rain or snow. (Add extra dBZ) - Evaporation: Set to 0 if dBZ < 20, otherwise subtract 5 dBZ

  5. ERRORS DUE TO EXTRAPOLATION FROM HEIGHT OF MEASUREMENT TO GROUND When observed at a farther range 2.0 1.7 0.5 BW=0.2 To determine the errors, values at the measurement height are compared with the low level ground truth

  6. Real-Time Correction (CAPPIs) C2 Corrected Uncorrected OSP The reflectivity at pixels affected by the bright band is reduced while estimates at far ranges (in the snow) are increased.

  7. Real-Time Correction: 1-hr accumulation Convection BB Uncorrected “One-shot” : one map is corrected OSP: 12 CAPPIs are corrected

  8. (a) BB Convection Uncorrected (b) (c) (d) “One-shot” : one map is corrected OSP: 12 CAPPIs are corrected Climatological: 12 CAPPIs are corrected

  9. Climatological Vertical Profiles(250 hrs)

  10. 1-hr Accumulations: 0300 GMT 21-Nov-2004 C1 Unc OSP Clim

  11. 0000 Z to 2400 Z 21-Nov-2004 Unc C1 R/G:3.86 %AD:291 Corr:0.77 R/G:1.42 %AD:75 Corr:0.78 OSP Clim R/G:1.19 %AD:48 Corr:0.76 R/G:2.05 %AD:1.18 Corr:0.86

  12. 0000 Z to 2400 Z 21-Nov-2004

  13. 0000 Z to 2400 Z 28-Nov-2004 Unc C1 R/G:1.72 %AD:94 Corr:0.55 R/G:0.94 %AD:38 Corr:0.66 OSP Clim R/G:1.17 %AD:48 Corr:0.74 R/G:1.30 %AD:48 Corr:0.79

  14. 0000 Z to 2400 Z 28-Nov-2004

  15. 2400Z 1-Dec-2004 Unc C1 R/G:1.20 %AD:47 Corr:0.48 R/G:2.06 %AD:119 Corr:0.55 OSP Clim R/G:0.89 %AD:35 Corr:0.47 R/G:1.02 %AD:31 Corr:0.53

  16. 2400Z 1-Dec-2004

  17. 0000 Z to 2400 Z 24-Nov-2004 Unc C1 R/G:0.74 %AD:36 Corr:0.71 R/G:0.56 %AD:50 Corr:0.61 OSP Clim R/G:0.68 %AD:38 Corr:0.77 R/G:0.46 %AD:56 Corr:0.80

  18. 0000 Z to 2400 Z 24-Nov-2004

  19. 0000 Z to 2400 Z 16-Oct-2004 Unc C1 R/G:1.19 %AD:32 Corr:0.42 R/G:0.80 %AD:25 Corr:0.52 OSP Clim R/G:0.93 %AD:20 Corr:0.54 R/G:0.73 %AD:30 Corr:0.64

  20. 0000 Z to 2400 Z 16-Oct-2004

  21. 24-hr Accumulation 2200Z 9-Sep-2004 Unc C1 R/G:0.69 %AD:32 Corr:0.73 R/G:0.66 %AD:34 Corr:0.65 OSP Clim R/G:0.66 %AD:34 Corr:0.82 R/G:0.64 %AD:36 Corr:0.81

  22. 24-hr Accumulation 2200Z 9-Sep-2004

  23. 0000 Z – 2400 Z 1-Jun-2004 R/G:1.28 %AD:33 Corr:0.70 R/G:0.86 %AD:23 Corr:0.64 Climatological correction map not available R/G:0.92 %AD:13 Corr:0.86 R/G:0.97 %AD:13 Corr:0.81

  24. Projection of near range VPRs into far ranges 250 hr of data, 21 events

  25. Total Error Summary: Stratified by BB height(Data from 0.50 elevation for r>100km and from 1.5 km CAPPI for r<100km)

  26. Representativeness of VPR Increased NRMS errors for 1-hr accumulations generated with VPR correction factors that are appropriate for a different time interval (in order to simulate a different VPR at farther ranges). The uncorrected NRMS and that from the climatological correction are provided as reference. (At the “lowest default height” and at 10-km resolution).

  27. Snowfall Accumulation Unc In snow, it is necessary to correct for the increase in reflectivity of snow as it falls to the surface. The VPR display (Vertical Profile of Reflectivity) helps to quantify this vertical gradient. In general, the VPR is essential for a proper estimate of surface precipitation, particularly under stratiform rainfall conditions.

  28. Real-Time Correction: 24-hr accumulation Uncorrected C1 “One-shot” correction of 24 1-hr acc. maps OSP: 24 x 12 CAPPIs are corrected

  29. FRANKTOWN Radar: 21-hr Accumulation 0900Z 15-Jun-2004 No Climatological Accumulation C1 Unc OSP

  30. 0000 Z – 2400 Z 3-Aug-2004 Unc C1 R/G:1.94 %AD:94 Corr:0.89 R/G:1.77 %AD:78 Corr:0.89 OSP Clim R/G:1.69 %AD:74 Corr:0.89 R/G:1.76 %AD:80 Corr:0.88