Use of improved remote sensing data for a better nowcasting of - - PowerPoint PPT Presentation

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Use of improved remote sensing data for a better nowcasting of - - PowerPoint PPT Presentation

Mar 19, 2024 372 likes •612 views

Use of improved remote sensing data for a better nowcasting of severe weather events Tim Bhme Deutscher Wetterdienst (National German Weather Service) General Forecasts Department Outline 1. Data for nowcasting at Deutscher Wetterdienst

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Use of improved remote sensing data for a better nowcasting

  • f severe weather events

Tim Böhme Deutscher Wetterdienst (National German Weather Service) General Forecasts Department

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  • 1. Data for nowcasting at Deutscher Wetterdienst (DWD)
  • 2. Radar data as main input for nowcasting:

 network configuration and scan strategy  operational and pre-operational radar products

  • 3. Weather warnings and their visualisation
  • Outline
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data: resolution: update: used for: new: satellite 3 km 5 min convection day–night-composite (Meteosat RSS) fog with HRV data

  • Nowcasting data at DWD

radar 250 m / 1 km 5 min precipitation+ dual-pol radar data structure lightning 1 km 1 min thunderstorm (LINET) additional observation SYNOP, METAR, radiosonde model data 2.8 km 3 h also probabilistic data (COSMO, ICON)

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  • Nowcasting data at DWD

Day-night composite (IR 10.8 + HRV 0.4-1.1) Meteosat rapid scanning service (RSS) + lightning detection (LINET)

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network of 17 operational radars

  • RADAR network + scan strategy

125 km radius around radar sites

  • Volume scan of 10 elevations:
  • 5.5° down to 0.5°
  • 8.0°

up to 25°

  • 90°

calibration scan range bins of 1 km up to 180 km, 1° azimuth – repetition cycle of 5 min

  • „Precipitation scan“ (terrain following)

range bins of 250 m up to 150 km, 1° azimuth – repetition cycle of 5 min

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  • RADAR products (winter)

dpa bildfunk Augsburger Allgemeine Saarländischer Rundfunk Saarländischer Rundfunk

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  • RADAR products (winter)

Case study 07 April 2016

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Offenbach, 21. April 2016 8

14.30 UTC 14.30 UTC 15.30 UTC 15.30 UTC

  • RADAR products (winter)

Case study 07 April 2016 ∆x = 1 km, ∆t = 5 min

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BTZ Langen, 13. November 2013 Fachkonferenz 2013

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Precipitation in South-Western Germany:

Precipitation rate in mm/h: Reflektivity in dBZ: simple Z-R relation refined Z-R relation Implementation of dual pol data ∆x = 1 km, ∆t = 5 min

  • RADAR products

Case study 03 November 2014

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BTZ Langen, 13. November 2013 Fachkonferenz 2013

10 1h-pricipitation rate at the ground: ∆x = 1 km, ∆t = 5 min simple Z-R relation refined Z-R relation Implementation of duale-pole-data Precipitation rate in mm/h:

Precipitation in South-Western Germany:

  • RADAR products

Case study 03 November 2014

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  • perational:
  • reflectivity + radial wind velocity data
  • cell objects: KONRAD + CellMOS + meso-cyclone algorithms

pre-operational:

  • identification of heavy precipitation possibility:

VIL, VII, VIL track, VII track

  • identification of rotation:

rotation + 3h-rotation track (mid level  z=3-6 km) rotation + 3h-rotation track (low level  z=0-3 km) in planning:

  • High-resolution radar data signals

 TVS signals („tornado vortex signature“)  tornado genese  identification by gradient of flow velocity between inflow and outflow

  • RADAR products (summer)
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12 heavy precipitation event including tornadoes above Northern Germany (city of Hamburg)

  • RADAR products (summer)

Case study 07 June 2016

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13 heavy precipitation event including tornadoes above Northern Germany (city of Hamburg):

  • RADAR products (summer)

Case study 07 June 2016

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14 heavy precipitation event including tornadoes above Northern Germany (city of Hamburg):

  • RADAR products (summer)

radar reflectivity radar radial wind velocity Case study 07 June 2016

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15 heavy precipitation event including tornadoes above Northern Germany (city of Hamburg):

  • RADAR products (summer)

low level (z=0-3 km) rotation signals mid-level (z=3-6 km) rotation signals Case study 07 June 2016

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16 heavy precipitation event including rotation signals above Northern Germany:

  • RADAR products (summer)

low level (z=0-3 km) rotation signals mid-level (z=3-6 km) rotation signals Case study 10 June 2016

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17 heavy precipitation event including tornadoes above Northern Germany (city of Hamburg):

  • RADAR products (summer)

Visualisation of:

  • radar reflectivity
  • KONRAD cells
  • CellMOS cells

Case study 07 June 2016

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  • Weather warnings

visualisation of warning areas (forecast +1h) by NowCastMIX (fuzzy logic system)  basis for official warnings Case study 07 June 2016 heavy precipitation event including tornadoes above Northern Germany (city of Hamburg)

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19 DWD uses different ways to distribute official weather warnings:

  • telefax
  • SMS
  • app:
  • Weather warnings

www.dwd.de/warnwetter

  • verview about current warning

situation in Germany

  • detailed information about local

situation  official warnings and trends  GPS warnings

  • configurable warning elements and

alarm levels

WarnWetter-App

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20 WarnWetter- App of DWD:

  • Weather warnings

currently 2.700.000 users

  • current satellite images in high resolution (RSS)
  • DWD weather radar data
  • predicted tracks of storm cells
  • localised forecasts and current observations
  • model forecasts which are relevant for warnings

 storms, heavy precipitation

  • video clips in case of heavy weather events
  • traffic information (google)
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  • Weather warnings

NEW:

until 14 July 2016: since 14 July 2016: warnings for rural districts (Landkreis) warnings for communities and urban districts (Stadtbezirk)

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Thank you !

Tim Böhme Tim.Boehme@dwd.de Deutscher Wetterdienst Business Area Weather Forecasting Services General Forecasts Department Frankfurter Str. 135 63067 Offenbach Germany

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