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Application of RASS data for understanding the dynamics of THORPEX events

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Title: Application of RASS data for understanding the dynamics of THORPEX events


1
Application of RASS data for understanding the
dynamics of THORPEX events
  • J. R. Kulkarni
  • Indian Institute of Tropical Meteorology

2nd WP/RASS Workshop November 28, 2005
2
  • The skilful prediction of high-impact weather is
    one of the greatest scientific and societal
    challenges of 21 st century.
  • THORPEX is a response to this challenge

3
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4
THORPEX
  • For skillful prediction, the understanding of the
    dynamics of the events is essential

Events studied
Heat wave conditions during March 2004 and 2005
Exceptional Heavy precipitation over Santacruz on
26/27 July 2005
5
404 MHz UHF Wind profiler system at IMD Pune
Antenna Array Aperture 13 m X 13 m
Radar Control Room houses RF transmitter,
duplexer and receiver
Schematic of the operation of a wind profiler
6
  • Merits of Wind profiler system
  • The principal merit of the profiler is the high
    temporal height resolution which can be
    achieved.
  • Wind profiles can be obtained as often as
    necessary.
  • Real time computations and display is available.
  • Frequent observations with a single profiler
    enables a time section to be prepared for study
    of movement of weather systems.
  • Unattended operation is possible.
  • Besides wind, vertical motion, divergence and
    turbulence can be monitored.
  • The data represents a profile over a limited area
    of a few km across, over which the wind can be
    assumed to be constant in many situations.
  • The height resolution is better than the
    radiosonde and a number of samples can be
    averaged to obtain greater accuracy.
  • Because of the time integration the profiler
    effectively samples a much larger volume than the
    radiosonde.

7
Atmospheric subsidence and the surface
temperature variability in the pre-monsoon month
over a semi arid north peninsular Indian station
A case study ContributorsSachin Deshpande, R.
R. Joshi, S. S. Damle and Narendra Singh
  • Objectives
  • The heat wave is one of the high-impact weather
    phenomenon's over India.
  • Climatologically, duration of the heat wave over
    the country is generally 5 to 6 days and there
    are two or three such episodes.
  • March 2004 showed the similar behavior, however
    there was a long spell nearly of month duration
    of above normal temperatures over Pune.
  • To understand the maintenance of the long spell
    of above normal temperatures over Pune, using the
    vertical velocities measured by wind profiler.

8
Maximum temperature distribution over Pune during
March 2004
9
  • The favorable factors for heat wave conditions to
    occur over a particular region are
  • (1) large region of warm dry air prevailing in
    the surrounding of that region and appropriate
    flow pattern for transporting hot air into the
    region of the study.
  • (2) absence of moisture over a depth of
    atmospheric column.
  • (3) large amplitude anticyclonic flow in the
    vertical levels above a place (Chaudhury et al.,
    2000)
  • The anticyclonic flow pattern in the vertical
    produces a chain of processes for generating and
    maintenance of the heat wave conditions.
  • First it produces a large-scale subsidence which
    makes the atmospheric columns stable. The
    stability inhibits the formation of clouds and
    ventilation of the heat. The clear sky conditions
    help surface to get more irradiance, which
    increase the surface temperatures.
  • Thus the key factor in the process is the
    subsidence or in more general terms 'vertical
    velocity.
  • Direct measurements of the vertical velocities
    became available at Pune after installation of
    UHF wind profiler radar.

10
Data
  • In the present study, the vertical velocity data
    measured by the wind profiler in the month of
    March 2004 is utilized.
  • Hourly averaged profiler velocity profiles were
    obtained four times a day viz. at 0800, 1100,
    1400 and 1700 IST.
  • The data of daily maximum temperature of Pune in
    the month of March 2004 has been collected from
    the bulletin of Daily Weather Report published by
    India Meteorological Department.

11
Role of advection in the surface temperature
variability
  • Generally heat waves develop in the
    northwestern parts of India, or northern parts of
    Pakistan. From these areas, waves expand to the
    neighboring subdivisions of country.

12
  • Two approaches of understanding the surface
    temperature variability viz. (1) physical and (2)
    dynamical. In the physical approach, the surface
    temperature at any place is determined by surface
    energy balance.
  • In the dynamical approach, the temperature
    variability is determined by the processes of
    advection adiabatic and diabatic heatings.
  • The climatological latitudinal distribution of
    horizontal daily isolation in the month of March
    is plotted from the data given by Iqbal (1983).
  • The higher temperatures are observed over the
    northern parts of the country. The reason for
    this type of temperature distribution lies in the
    land-sea distribution.

13
  • The latitude-time cross section of the maximum
    temperature distribution
  • The tilting of temperature isolines indicates the
    high temperatures are developed first in the
    northern latitudes and gradually moved towards
    the southern latitudes.
  • Three episodes are clearly seen. In the first one
    i.e. on 4th March a region of high temperatures
    is developed at latitude 28.31 N and after 5 days
    the high temperatures are observed at 18.53 N on
    9th March. The second episode is from 16 to 20
    March and the third episode is from 23 to 27
    March.
  • There was an advection of warm air from northern
    to southern latitudes which makes the temperature
    distribution uniformly high.

14
  • Role of subsidence in the surface temperature
    variability
  • In order to quantitatively understand the role of
    subsidence, in the surface temperature
    variability, the variability in the vertical
    motion has been studied.
  • The height-time cross section of profiler
    vertical velocity in March 2004
  • The shallow convection topped on by subsidence is
    clearly seen.

15
  • Monthly mean distribution of vertical
    velocity- March 2004
  • Existence of two cell structure in the vertical.
  • The lower cell consists of upward motion
    extending up to 2 - 3 km and the upper cell
    consists of the subsidence motions confined
    between 3 to 6 km.
  • This mean structure of the vertical circulation
    of the atmosphere is similar to that found over
    heat low observed by Blake et al (1983) during
    summer MONEX period.
  • However, large variations (s.d. 20 cm/sec) are
    observed in the individual profiler velocity
    profiles.

16
  • The upward and downward motions can be considered
    to cause the cooling and warming effects on the
    surface heat budget and hence on the temperature.
  • The upward motion mixes the air in the lowest
    levels and thus tries to prevent the surface
    temperature becoming high.
  • The subsidence acts towards the increasing
    temperatures in two ways
  • (i) it prevents the upward motion in the lower
    levels from reaching higher heights, and thereby
    reducing the ventilation of heat.
  • (ii) it warms and stabilizes the atmospheric
    column. The atmosphere becomes cloud free, which
    helps more solar radiation to reach the surface
    levels and increase the temperature.

17
  • Variation of Wind profiler (triangles) and NCEP
    (circles) vertical velocity at 11.00 a. m. IST.
  • Wind profiler velocity is one order higher than
    the reanalysis velocity on most of the times.
  • The profiler velocity have larger variability in
    time and height than the reanalysis velocity.
  • The reason
  • Reanalysis velocity is representative of
    synoptic scale motion whereas the profiler
    velocity is representative of mesoscale motions.
  • This is in agreement with the findings of Nastrom
    et al. (1985)

18
  • The subsidence motion is not occurring
    continuously, but there are layers of upward and
    downward motions laid on each other.
  • This is in agreement with the dynamics of the
    atmosphere i.e. Dynes compensation principle
    which states that the boxes of convergence and
    divergence are laid on each other.
  • This feature is not observed in reanalysis wind
    structure, since the computations of vertical
    velocities are carried out for discrete layers of
    the atmosphere of relatively large thicknesses,
    in which the fine structures are averaged out.

19
  • The factors governing the variability of surface
    temperature are
  • (1) solar radiation, (2) advection and (3)
    subsidence.
  • The advection dominates in the initial period.
    When the horizontal temperature gradient
    vanishes, the effect of advection becomes small.

  • The
    incoming solar radiation at Pune
    is computed using the formulation
    given in Racz and Smith (1999)
  • The effect of the solar radiation on the
    variability of the temperature is removed by
    fitting a straight line (shown in figure by
    dotted line) to the daily anomalies in the
    maximum temperature and subtracting the
    contributions of the solar radiation heating
    obtained through the equation of the fitted
    straight line.
  • The straight line fit captures most of the
    original variance ( 95) and represents a
    reasonable approximation to the original curve.
    The residual temperature anomalies can be thought
    to be arising from subsidence and noise.

20
  • Association between subsidence depth and
    maximum surface temperature anomaly
  • The subsidence occurs in the form of
    alternating boxes overlaid on each other. The
    total depth of the column, even if it is not
    continuous, adds to the warming and stability of
    the atmosphere.
  • The correlation coefficients are 0.40, 0.39, 0.53
    and 0.46 at 8, 11 a. m., 2 and 5 p.m. IST
    respectively.
  • The highest relationship is observed with the
    subsidence at 2 p.m. IST which is quite obvious.

21
  • Conclusions
  • First time instrument-measured-vertical
    velocities has been used to bring out the role of
    vertical velocities in the maximum temperature
    variability.
  • Existence of two cell structure in the vertical
    in the pre-monsoon season over India.
  • Two cell structure is similar to that found over
    heat low observed by Blake et al (1983) during
    summer MONEX period. However, large variations
    (s.d. 20 cm/sec) are observed in the individual
    profiler velocity profiles.
  • The positive anomalies in the maximum temperature
    over Pune, are related to the heating processes
    by advection, radiation and subsidence.
  • Three distinct episodes of advective warmings
    viz. on 4 to 9, 16 to 20 and 23 to 27 March 2004.
  • After removing the effects of advection and
    incoming solar radiation, the variability in the
    anomalies in the maximum temperature is found to
    be related with the total depth of the
    atmospheric columns in which subsidence occurs.
  • Application of study
  • A simple regression model may be developed to
    forecast the maximum temperature anomaly at local
    scale a few hours ahead.
  • The two cell structure and the order of the
    vertical velocity brought out in this study will
    be found useful in the validation of the meso
    scale models over the Indian region and in turn
    will be useful in improving the short range
    temperature forecasts over the region

22
A comparative study of structure of atmospheric
subsidence over Pune in March 2004
and 2005 using Wind Profiler? Hourly averaged
vertical wind velocity profiles were obtained
four times a day from 0800 to 1700 hrs
IST in March 2004 and 2005. ? Mesoscale
vertical velocities have been used to understand
the maintenance of long spell of above (in March
2004) and below (in March 2005) normal surface
temperatures.? The structure of atmospheric
subsidence in Mar 04 and Mar 05 is compared
23
Distribution of the anomalies of the surface
temperatures (0C) in March 2004 and 2005 over
India
24
Maximum temperature distribution over Pune during
March 2004 and 2005
On every day of March 2004 the daily maximum
temperature was above normal while it was below
normal nearly for half of the month during March
2005.
25
Latitude-time cross section of the maximum
temperature distribution
Mar 04 ?Tilting of temperature isolines ?
Advection makes the temperature distribution
uniformly high. Mar 05 ? Temperature isolines
nearly vertical weak meridional temperature
gradient. ? Weak or absence of temperature
advection from north in March 2005.
26
Comparison of mean vertical velocity (March
2004 and March 2005)
? In Mar 04, two cell structures upward motion
up to 2-3 km and downward motion in the 3-6 km
? In Mar 05, upward motion extending all the
way up to 6 km ? In Mar 04, with the
progress of the day, the subsidence penetrates to
the lower levels reaching around 1 km in the
afternoon hours. ? In Mar 05, upward motion
existed in the layer 2.0 to 3.5 km and subsidence
penetration was confined to levels above 1 km
27
  • References
  • Blake DW, Krishnamurti TN, Low-Nam SV and Fein JS
    (1983) Heat low over Saudi Arabia desert during
    May 1979 (summer MONEX). Mon Wea Rev 111
    1759-1775
  • Chaudhury SK, Gore JM, Sinha Ray KC (2000) Impact
    of heat waves over India. Current Science 79 No.
    2 153-155
  • Iqbal M (1983) An Introduction to Solar
    Radiation. Canada Academic Press, 67 pp
  • Nastrom GD and Gage KS (1983) A brief climatology
    of vertical air motions from MST radar data at
    Poker Flat, Alaska. 21st Conf. Radar Meteor. Amer
    Meteor Soc, 135-140
  • Racz Z and Smith RK (1999) The dynamics of heat
    lows. Q J R Meteorol Soc 122 1-22

28
Exceptional heavy rainfall over Santacruz on
26/27 July 2005
  • Contributors
  • R. Vijayakumar, S. B. Morwal and R. S. Maheshkumar

29
Map of Mumbai
30
Ridge
Mumbai
Easterly Jet
Cyclonic circulations
Low level Jet
Monsoon trough
Offshore trough
31
3 hourly accumulated rainfall over Santacruz
from TRMM satellite imageries
UTC
26Jul
27 Jul
32
Table 1.6 Santacruz heavy rainfall and its
association with the Colaba heavy rainfall
Category of heavy rainfall Common occurrence at Santacruz and Colaba both places Occurrence only at Santacruz and absent at Colaba Total of common occurrence
1 6.5 12.9 cm 125 174 299 44
2 13.0 19.9 cm 17 60 77 22
3 20.0 cm and above 10 22 32 31
Total 152 256 408 37
33
  • These results can be interpreted in terms of the
    horizontal scale of the convection. As the
    rainfall amounts are increased, the percentages
    of common occurrences decrease indicating
    localized growth of the cloud to super cell
    structures and corresponding reduction in the
    horizontal scale of the cloud system.
  • On 26/27 July there was formation of
    mesocyclone over Santacruz which had subsidence
    motion in the surrounding regions. This inhibited
    the formation of the tall clouds in the
    surrounding region which explains the 7.3 cm
    rainfall over Colaba compared to 94.4 cm over
    Santacruz.

34
  • Simulation of heavy rainfall
  • using 2-D cloud model.

35
  • Model requirements
  • Vertical Mesoscale convergence / divergence
    structure
  • Temperature bubble

36
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38
The vertical distribution of convergence and
vertical velocities at different hours on 26 July
2005
Height (Km) 1500 IST Divergence (s-1) Vertical velocity (m/s) 1700 IST Divergence (s-1) Vertical Velocity (m/s) 2000 IST Divergence (s-1) Vertical Velocity (m/s)
4.65 1.2 x 10-3 2.59 -1.8 x 10-3 2.27
4.95 -4.7 x 10-3 1.18 3.0 x 10-4 2.37
5.25 -6.3 x 10-3 1.11 -1.6 x 10-3 0.69 -3.7 x 10-3 1.27
5.55 -7.5 x 10-3 -1.13 -5.9 x 10-3 -1.08 -4.2 x 10-3 0.02
5.85 1.0 x 10-3 -0.85 9.0 x 10-4 -0.83 -1.0 x 10-3 -0.3
6.15 1.1 x 10-3 -0.52 1.3 x 10-3 -0.43 -1.3 x 10-3 0.09
6.45 8.0 x 10-4 -0.27 5.0 x 10-4 -0.28 -1.0 x 10-3 -0.21
6.75 2.0 x 10-4 -0.20 -3.0 x 10-4 -0.36 -1.3 x 10-3 -0.61
39
The composite of the vertical distribution of
vertical velocities
Height Km.
Santacruz
40
Schematic of mesocyclone (from Stull 2000)
7 Structure of mesocyclone
41
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