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Convective indexes calculated from HIRLAM output

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Title: Convective indexes calculated from HIRLAM output


1
Convective indexes calculated from HIRLAM output
  • St.Petersburg
  • The Russian State Hydrometeorological University
  • Faculty of Meteorology
  • Meteorological Forecasting Department
  • Kanukhina Anna

2
Aims
  • to estimate possible use of convective indexes
    calculated on HIRLAM outputs for forecasting of
    place, beginning time and type of mesoscale
    convective phenomena

3
Initial data are HIRLAM analysis and forecast
files
  • - air temperature at surface and heights at
    various periods
  • - dew point temperature at surface and heights at
    various periods
  • - wind parameters at surface and heights at
    various periods
  • - surface pressure tendencies
  • - specific humidity at surface and heights at
    various periods

4
3 types of indexes
  • diagnostic - atmospheric preparedness for
    convection development (?, ?, MOCON)
  • index having triggering function (? )
  • indexes estimating possible type of arising
    phenomena (CAPE,HEI)

5
atmosphere statical stability index ?
  • ??
  • ?

6
moisture convergence
  • MOCON
  • r specific humidity, kg/kg
  • V wind speed at 10 m, m/s

7
generalized index indicating possibility of
convective disturbance formation ?
  • ?

8
convective instability indicator (Falkovichs
index) ?
  • ?

9
EHI energy helicity index
  • EHI CAPEH
  • ? relative wind helicity
  • CAPE convective available potential energy
  • CAP?

10
Studied cases divided into 3 groups
  • 1 group days with thunderstorms and showers
    indexes indicate high possibility of these
    weather phenomena
  • 2 group days without any convective phenomena
    but indexes shows existing possibility of
    phenomena arising( atmospheric instability)
  • 3 group days associated with thunderstorms and
    showers atmosphere is stable according to
    indexes consideration

11
Used data
  • HIRLAM forecast
  • HIRLAM analysis
  • sounding data
  • surface observations (synoptic charts OSCAR,
    registered thunderstorm charts from FMI site
    http//www.ava.fmi.fi/tjt/salark.html).

12
Studied cases
  • 29.06.200019.06.200121-23.11.200103-06.07.20
    0216-20.07.2003

13
23.11.2001 12UTC
14
Indexes profiles for Kardla, Estonia
15
MOCON, 1/s for Kardla (Estonia) on 23.11.2001 12
UTCanalyse fc12
fc24
16
MOCON and ? scattering graph for 6 h forecast
(on base of analisys on 23.11.2001 0600 UTC and
forecast 23.11.2001 0000 UTC)
17
? and G scattering graph for 6 h forecast (on
base of analisys on 23.11.2001 0600 UTC and
forecast 23.11.2001 0000 UTC)
18
CAPE and HEI scattering graph for 6 h forecast
(on base of analisys on 23.11.2001 0600 UTC and
forecast 23.11.2001 0000 UTC)
19
29.06.2000 12UTC
20
MOCON, CAPE analysis on 29.06.2000 12 UTC
21
  • Thunderstorms chat on 29.06.2000
  • (http//www.ava.fmi.fi/tjt/salark.html)

22
(No Transcript)
23
(No Transcript)
24
?APE and MOCON scattering graph for 24 h forecast
(on base of analisys on 29.06.2000 1200 UTC and
forecast 28.06.2000 1200 )
25
? and G scattering graph for 24 h forecast (on
base of analisys on 29.06.2000 1200 UTC and
forecast 28.06.2000 1200 )
26
Indexes correlation coefficients (forecast and
analysis)
  • ??? 1 ?
  • ??? 2 G
  • ??? 3 ?
  • ??? 4 ?APE
  • ??? 5 MOCON
  • ??? 6 HEI

27
Conclusions
  • ? values defined by forecasts have essential
    distinctions with calculations from analysis and
    ? can not be used for atmospheric state
    estimation when forecasting at period more than
    6h.
  • The same could be said for HEI.
  • CAPE and MOCON may be used forecasting at period
    no more than 12h.
  • ? and G forecasts are close to real situation
    even at 24h forecast period particularly for C
    values.
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