Impact of horizontal diffusion, radiation and cloudiness ...Impact of horizontal diffusion,...

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Impact of horizontal diffusion, radiation and cloudiness parametrization on fog forecasting in valleys (Meteorol Atmos Phys, 2010, 108:57-70) Martina Tudor Research Department Croatian Meteorological and Hydrological Service

Transcript of Impact of horizontal diffusion, radiation and cloudiness ...Impact of horizontal diffusion,...

  • Impact of horizontal diffusion, radiation and cloudiness parametrization on fog

    forecasting in valleys(Meteorol Atmos Phys, 2010, 108:57-70)

    Martina TudorResearch Department

    Croatian Meteorological and Hydrological Service

  • Introduction

    ● In December 2004, fog and low stratus were absent from the initial conditions (although there was humidity)

    ● And failed to develop during the model forecast● Resulting in wrong 2m temperature and

    cloudiness forecast.● Various model parametrizations were tested in

    order to forecast the fog and low stratus using the same initial conditions.

  • Parametrization schemes

    ● Radiation – Operational – Ritter and Geleyn (1990) based on Geleyn

    and Hollingsworth (1979)– NER – net exchange rate– FMR – Morcrette (1989)– RRTM – rapid radiative transfer model Mlawer et al

    (1997)● Cloud diagnosing formulas

    – Operational (as in Arpege) – and Xu-Randall (1996)

  • ● Cloud overlap assumptions●

    ● Prognostic TKE ● Prognostic cloud water and ice, rain and snow

    ● Horizontal diffusion (SLHD)● Higher resolution in vertical and horizontal ...

    total cloudiness total cloudiness

    maximum overlap Maximum random overlap

    total cloudiness

    random overlap

  • (a) 08 Dec (b) 09 Dec (c) 10 Dec

    (d) 11 Dec (e) 12 Dec (f) 13 Dec

    (g) 14 Dec (h) 15 Dec (i) 16 Dec

    (j) 17 Dec (k) 18 Dec (l) 19 Dec

  • temperature

    Relative humidity

    temperature

    pressure

    cloudiness

    visibility

  • Windslows

    Windincreases

  • experiment cloud scheme overlap horizontal diffusion

    radiation scheme

    prognostic TKE

    prognostic condensate

    Cloudiness figure

    oper oper random numerical RG90 no no No

    exp1 Xu-Randall random numerical RG90 no no 6a

    exp2 Xu-Randall maximum numerical RG90 no no No

    exp3 Xu-Randall random numerical RG90NER no no 6b

    exp4 Xu-Randall random numerical FMR 3h no no No

    exp5 Xu-Randall random numerical FMR 1h no no 6c

    exp6 Xu-Randall random numerical RRTM 3h no no No

    exp7 Xu-Randall random numerical RRTM 1h no no 6d

    exp8 Xu-Randall random SLHD RG90 no no 6e

    exp9 Xu-Randall random SLHD RG90 yes no No

    exp10 Xu-Randall random SLHD RG90 yes yes 6f

    exp11 Xu-Randall random SLHD RG90 yes yes Envelope orography

    exp12 Xu-Randall random SLHD RG90 yes yes 73 levels

  • Operational cloudiness forecast

    ● RG90 radiation

    ● Random overlap

    ● No prog. Cond no TKE

    ● 8 km resolution

    ● 37 levels in the vertical

  • Net exchange rate (radiation)

    ● RG90+NER radiation

    ● Random overlap

    ● No prog. Cond no TKE

    ● 8 km resolution

    ● 37 levels in the vertical

  • Random maximum overlap

    ● RG90+NER radiation

    ● Random maximum overlap

    ● No prog. Cond no TKE

    ● 8 km resolution

    ● 37 levels in the vertical

  • New critical relative humidity profile

  • New cloud diagnosing scheme

    ● RG90 radiation

    ● Random maximum overlap

    ● Xu-Randall cloud scheme

    ● No prog. Cond no TKE

  • Return to random overlap

    ● RG90 radiation

    ● Random overlap

    ● Xu-Randall cloud scheme

    ● No prog. Cond no TKE

    ● Numerical horizontal diffusion

  • RG90 radiation scheme

    ● With ● old critical

    relative humidity profile,

    ● random overlap and

    ● Xu-Randall cloud diagnosing scheme

    referencerand maxrm+new RHXR cloudrandomold RH

  • Net Exchange rate

    ● RG90+NER radiation

    ● Random overlap

    ● Xu-Randall cloud scheme

    ● No prog. Cond no TKE

    ● Numerical horizontal diffusion

    Less clouds here

  • RG90 + NER

    ● With ● old critical relative

    humidity profile, ● random overlap

    and ● Xu-Randall cloud

    diagnosing schemereferencerand maxrm+new RHXR cloudrandomold RH

  • Morcrette (1989) 3 hourly

    ● FMR radiative transfer coefs computed with 3 hour interval

    ● Random overlap

    ● Xu-Randall cloud scheme

    ● No prog. Cond no TKE

    ● NHD

  • Morcrette (1989) 1 hourly

    ● FMR radiative transfer coefs computed with 3 hour interval

    ● Random overlap

    ● Xu-Randall cloud scheme

    ● No prog. Cond no TKE

    ● NHD

  • FMR (Morcrette, 1989)

    ● r-max and max are the same

    ● Depends on the frequency of the computation of the radiation transfer coefficients

    max, 1hrr-max, 1hrrand, 1hrmax, 3hrr-max, 3hrrand, 3hr

  • Return to random overlap

    ● RG90 radiation

    ● Random overlap

    ● Xu-Randall cloud scheme

    ● No prog. Cond no TKE

    ● Numerical horizontal diffusion

  • Semi-Lagrangian horizontal diffusion

    ● RG90 radiation

    ● Random overlap

    ● Xu-Randall cloud scheme

    ● No prog. Cond no TKE

    ● SLHD

  • Temperature and dewpoint 12 UTC 15th December 2004

    73

    37

    Vertical profiles of temperature

  • fog

    ● Cloud diagnosing schemes and overlap assumptions were more important than more sophisticated radiation schemes, introduction of prognostic microphysics and TKE.

    ● More realistic orography representation and more physical horizontal diffusion significantly improve the forecast of 2 m temperature and low clouds in areas with variable orography.

    Summary

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