Monsoon depressions, that form during the Indian summer monsoon season (June to September) are
known to be baroclinic disturbances (horizontal scale 2000 to 3000 km) and are driven by deep
convection that carries a very large vertical slope towards cold air aloft in the upper troposphere. Deep convection is nearly always organized around the scale of these depressions. In the maintenance of the
monsoon depression the generation of eddy kinetic energy on the scale of the monsoon depression is
largely governed by the “in scale” covariance of heating and temperature and of vertical velocity and
temperature over the region of the monsoon depression. There are normally about 6 to 8 monsoon
depressions during a summer monsoon season. Recent years 2009, 2010 and 2011 saw very few (around
1, 0 and 1 per season respectively). The best numerical models such as those from ECMWF and US
(GFS) carried many false alarms in their 3 to 5 day forecasts, more like 6 to 8 disturbances. Even in
recent years with fewer observed monsoon depressions a much larger number of depressions is noted in
ECMWF forecasts. These are fairly comprehensive models that carry vast data sets (surface and satellite
based), detailed data assimilation, and are run at very high resolutions. The monsoon depression is well
resolved by these respective horizontal resolutions in these models (at 15 and 35km). These
models carry complete and detailed physical parameterizations. The false alarms in their
forecasts leads us to suggest that some additional important ingredient may be missing in these current
best state of the art models. This paper addresses the effects of pollution for the enhancement of cloud
condensation nuclei and the resulting disruption of the organization of convection in monsoon
depressions. Our specific studies make use of a high resolution mesoscale model (WRF/CHEM) to
explore the impacts of the first and second aerosol indirect effects proposed by Twomey and
Albrecht. We have conducted preliminary studies including examination of the evolution of radar
reflectivity (computed inversely from the model hydrometeors) for normal and enhanced CCN effects
(arising from enhanced monsoon pollution). The time lapse histories show a major disruption in the organization of convection of the monsoon depressions on the time scale of a week to ten days in these
enhanced CCN scenarios.
The TRMM 3B42 is a gridded 3 hourly data archive that is being provided to the
research community at a horizontal resolution of 25 Km. These estimates are produced in
four stages; (1) the microwave estimates precipitation are calibrated and combined, (2)
infrared precipitation estimates are created using the calibrated microwave precipitation,
(3) the microwave and IR estimates are combined, and (4) rescaling to monthly data is
applied. Each precipitation field is best interpreted as the precipitation rate effective at the
nominal observation time. These gridded estimates are on a 3-hour temporal resolution
and a 0.25-degree by 0.25-degree spatial resolution in a global belt extending from 50°S
to 50°N latitude. Given a rich data base (India Meteorological Department, IMD) of 2100
well distributed rain gauges over India (Rajeevan et. al. 2006), it is possible to reexamine
the TRMM-3B42 data at a very high resolution (25 Km and 3 hours) over land
areas. This is a statistical regression exercise which shows the local correction for the TRMM 3B42 rain over India. A further validation of this product is demonstrated from
daily rainfall prediction using a suite of operational multimodels.
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