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Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples •Model fields: calculated parameters from one model or an ensemble of model forecasts as new GRIB •DMO and Model output statistics (MOS) Weather parameters near the surface for many (1000) locations, deterministic and probabilistic T. Kratzsch, DWD, WV1

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Page 1: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

Needs and use of post processing and model

interpretation, examples

•Model fields: calculated parameters from one model or an ensemble of model forecasts as new GRIB

•DMO and Model output statistics (MOS) Weather parameters near the surface for many (1000) locations, deterministic and probabilistic

T. Kratzsch, DWD, WV1

Page 2: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

• 03261 +001 0901 /// /// /// /// // // // /// /// 03 / / / / / / //// /// /// /// ////03261 +002 0902 /// /// /// /// // // // /// /// 03 / / / / / / //// /// /// /// ////03261 +003 0903 /// /// /// /// // // // /// /// 03 / / / / / / //// /// /// /// ////03261 +004 0904 /// /// /// /// // // // /// /// 03 / / / / / / //// /// /// /// ////03261 +005 0905 /// /// /// /// // // // /// /// 03 / / / / / / //// /// /// /// ////03261 +006 0906  08  07 ///  05 35 09 // --- 000 03 2 7 6 4 0 1 //// /// /// /// ////03261 +007 0907  10  08 /// /// 34 09 // /// /// 02 / 7 7 7 0 1 //// /// /// /// ////03261 +008 0908  11  08 /// /// 35 09 // /// /// 02 / 8 7 7 0 1 //// /// /// /// ////03261 +009 0909  12  07 /// /// 36 09 // --- 000 02 / 8 7 7 1 2 //// /// /// /// ////03261 +010 0910  12  07 /// /// 00 09 // /// /// 03 / 8 6 6 2 2 //// /// /// /// ////03261 +011 0911  12  07 /// /// 01 10 // /// /// 03 / 7 6 6 2 2 //// /// /// /// ////03261 +012 0912  13  06 /// /// 02 10 // --- 000 03 2 7 7 6 3 2 //// /// /// /// ////03261 +013 0913  13  06 /// /// 02 10 // /// /// 03 / 7 6 5 3 3 //// /// /// /// ////03261 +014 0914  13  06 /// /// 02 09 // /// /// 03 / 7 6 5 2 3 //// /// /// /// ////03261 +015 0915  13  06 /// /// 02 09 // --- 000 03 / 7 6 4 2 4 //// /// /// /// ////03261 +016 0916  13  07 /// /// 02 09 // /// /// 80 / 7 6 4 2 4 //// /// /// /// ////03261 +017 0917  13  07 /// /// 01 08 // /// /// 80 / 7 6 4 2 5 //// /// /// /// ////03261 +018 0918  12  07  14 /// 01 08 // --- 000 03 8 7 6 3 2 5 //// /// /// /// ////03261 +019 0919  12  07 /// /// 00 07 // /// /// 03 / 7 6 3 3 5 //// /// /// /// ////03261 +020 0920  11  07 /// /// 36 07 // /// /// 03 / 7 6 3 3 5 //// /// /// /// ////03261 +021 0921  10  08 /// /// 35 06 // --- 000 03 / 7 6 3 3 4 //// /// /// /// ////03261 +022 0922  10  07 /// /// 35 06 // /// /// 03 / 7 6 3 3 5 //// /// /// /// ////03261 +023 0923  09  07 /// /// 34 06 // /// /// 03 / 7 6 3 3 5 //// /// /// /// ////03261 +024 1000  09  07 /// /// 34 06 // --- 000 03 2 7 6 3 4 5 //// /// /// /// ////

List of forecast Parameters for thecustomers

Page 3: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

„WANTED“Zielgröße benutzte Größen benutzte Größen

  in NinJo vorhanden nicht vorhanden

Sonnenscheindauer(Minuten/Stunde) und relativ

Globalstrahlung(Stundensumme)

div. Parameter der Sonnenbahn

Beleuchtungsstärke Globalstrahlung(Stundensumme)

 

Windrichtung100m-Wind (stdl.), div. Höhen

  100m-Wind (3-stdl.)

Windgeschwindigkeit100m-Wind (stdl.), div. Höhen

  100m-Wind (3-stdl.)

Diffusionskategorie Windgeschwindigkeit, Gesamtbe-deckung, Tageszeit

 

…. und weitere

Page 4: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

Model fields: calculated parameters from one model or an ensemble of model forecasts as new GRIB

• The role of the meteorologist:• Understand what the models does, i.e. reasons for increasing/decreasing of

intensity• Spread of the lowest and strongest solution in an ensemble• Comparison of different models (area, time, intensity of met. events)• Useful parameters, that are not model values (fog, Ceiling)• Describe that (Guidance texts) and react if model goes wrong

• Comparison is much easier with combined / resulting parameters (ww, rain amount)

• Monitoring of predictands for severe weather events (SDI, tornado parameters, severe ice etc)

Page 5: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

Interpretation of Ensemble results:

Don‘t look for 50 members but for the Prob. of predictible valuesProbability fields for tresholds of wind gusts and rainfall, Areas of low preasure or large values of CAPE or CIN

Probabilities do not replace deterministic values for both – meteorologists and customers!Met. and users need deterministic forecasts and warnings (Guidances)

Probs for warning tresholds transformed to Guidance (first guess) of deterministic warnings (severeness and duration)

Page 6: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

Samstag, 12 UTC

Z + T 500 hPa06.08., 00 + 60 H

ww + Bodendruck + Fronten06.08., 00 + 60 H

Page 7: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

Sonntag, 12 UTC

Z + T 500 hPa06.08., 00 + 60 H

ww + Bodendruck + Fronten06.08., 00 + 84 H

Z 300 hPa / Omega 700hPa06.08., 00 + 84 UTC

Page 8: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

Analyse (A-Format), 04.08., 06 UTC

Z 300 hPa / Omega 700 hPa04.08., 00 + 06 H

Page 9: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

Z 300 hPa / Omega 700hPa06.08., 06 UTC

Heute, 06 UTC

Analyse, 06 UTC, A-Format

Page 10: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

Sonntag, 12 UTC

GME, TKB + ww

GME, 23.07., 00 + 84 HZ 300 hPa / Omega 700 hPa

Page 11: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

12-std. Niederschlag bis Samstag, 18 UTC, COSMO-EU, 06.08., 00 + 54 … 66 H12-std. Gewitterwahrscheinlichkeit, MOS(EZMW), 06.08., 00 + 54 …66 H

Page 12: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

Simuliertes Sat-Bild (EZMW)08.07., 12 + 96 H

Prob RR > 1 mm, MOS(EZMW)09.07., 00 + 78 … 90 H

Page 13: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

fx, COSMO-DE, 23.07., 00 + 18 H

Page 14: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

GFS, 09.07., 00 + 162 HZ + T 850 hPa

CAPE + Lifting Index

Mittwoch, 18 UTC

Page 15: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

COSMO-DE, ww, 21.07., 12 + 06 H+ Blitzbeobachtungen

Page 16: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

Page 17: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

Page 18: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher WetterdienstModelllauf vom 05.08., 00 UTC

EZMW, Z 1000 hPa EPS-Mittel für Sonntag, 16.August, 12 UTC

Modelllauf vom 04.08., 12 UTC

Modelllauf vom 03.08., 12 UTCModelllauf vom 04.08., 00 UTC

Page 19: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

EPS des EZMW: Kumulative Verteilungs-Funktion der einzelnen VorhersagenRot: 08.07., 12 UTCViolett: 08.07., 00 UTCDunkelblau: 07.07., 12 UTC usw.

Page 20: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

Kombinierte EFI-Karte, 22.07., 12 UTC

Page 21: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

Do Fr Sa So Mo Di Mi Do Fr Sa So

Do Fr Sa So Mo Di Mi Do Fr Sa So

Page 22: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

• Parameter in der Grenzschicht / Bodennähe:• Relative Feuchte in 975 hPa• Eckertscher Nebelindex auf LMK Basis• Ceiling nach TAF Kriterien (Wolkenuntergrenze mit Bedeckungsgrad >= 4/8)• lokale Feuchteänderung (zeitlich, z.B. 1stg. / 3stg.) als Hinweis für Tornadobildung aus LMK

• Konvektionsparameter als Grib-Felder:• Parameter werden mittels der Umgebungsmethode (Berücksichtigung auch der

Nachbargitterpunkte) berechnet. • Konvektionsparameter:

– Lifting Condensation Level, Level of Free Convection– Mixed-Layer CAPE over 0-3 km, Experimental Spout/Tornado index– Equilibrium Level Convective Cloud Top Temperature– MSL Pressure, 500 hPa Height, Mixed-Layer CAPE (lowest 1000m parcel)

• Supercell Detection Index (SDI)• vertikale Windscherung 0-1km, 0-3km, 0-6km aus LMK als Tornadohinweis• weitere Tornado-Indizes, vgl. Email an Dr. Seifert, Papier von Herrn Friedrich aus 2005

• Vereisungsprognose:• ADWICE auf Basis des LMK• Schneefallgrenze oder /und Nullgradgrenze aus LME und LMK

„WANTED“ seit 2005 / 2007:

Page 23: Deutscher Wetterdienst Needs and use of post processing and model interpretation, examples Model fields: calculated parameters from one model or an ensemble

Deutscher Wetterdienst

How to give deterministic and probabilistic forecasts

to users/customers that are interested

in (deterministic) values for locations from high resolution models?

Use of interpretation methods from global models in high resolution models?

How to communicate uncertainty?