“Jet
streams and Jet meandering can be linked to extreme events like heat waves”,
remarked one of the seminar speakers at Atmo. It struck me, “What
could be the causes of the extreme heat wave in India in summer 2015? Is there a link between jet stream patterns n stuffs n heat waves?”, raced my mind…But, no really, I’m
not an expert in general circulation or dynamics. I work on Air pollution. I
was wondering, what the current data from satellites can tell me about Indian
heat wave and its link to Aerosols. Ah , I hear you, if you had read my
previous post, you should go, ‘Duh! Aerosols, do have an impact on local
weather’.
I
started delving into the details… (in my advisor’s terminology, ‘extracting science
from the vast varieties of ugly data’).
The
major heat wave struck the southern India in the latter half of May 2015. You can see the impact
of heat wave from the outgoing IR radiation picture below (More the emitted IR radiation,
hotter the place). I picked a small region (red boxed) in the southern India near Andhra pradesh.
|
Outgoing longwave radiation from TERRA satellite(NASA Earth observatory : http://earthobservatory.nasa.gov/IOTD/view.php?id=85986) |
Red boxed region in the Image is the study area in India. This is in the state called 'Andhra Pradesh'. I made some quick analyses of this event and how aerosols can be linked to heat wave below:
Some initial interesting results :
1.
NCEP NCAR reanalysis (Ok, to put it simpler, these are gridded data that
combine information from weather models and ground/satellite observations and
produce pretty maps J) maps near Andhra Pradesh show cooler
anomalies every two years. Here is a snapshot of May month average anomaly maps from 2010 – 2015. The anomalies
in the intermittent years are really high and 2015 is one of them.
|
2010 NCEP NCAR surface temperature anomaly for May |
|
2011 May anomaly |
|
2012 May anomaly |
|
2013 May anomaly |
|
2014 May anomaly |
|
2015 May anomaly |
2.
When the sensor AIRS on board Aqua satellite flew over India, it watched the
heat wave temperatures. Here, we are looking at the time averaged surface
temperature for the month of May in 2010, 2011, 2012, 2013, 2014, 2015. The biennial
pattern (“HOT YEAR-HOT YEAR-COLD YEAR; HOT-HOT-COLD”) shown by NCEP NCAR
reanalysis data is also reflected in in the regions extending between 16N-18N
and 77E – 84E. Look at the red boxed region shown in the first image.
|
2010 May mean surface temperature |
|
2011 May surf_temp |
|
2012 May surf_temp |
|
2013 May surf_temp |
|
2014 May surf_temp |
|
2015 May surf_temp |
3.
Zooming in on 2015 and comparing it against one of the relatively cold summer,
2011 (I mean, less warmer….ooosh, it’s tropics!), we can see that the latter
half of May 2015 was much hotter and 13 days showed temperatures more than 500C.
The mean of May 15-30 , 2015 is higher than 2011.
|
2011 May, Timeseries of daytime surface temperature from AIRS sensor for the boxed region |
|
2015 May (heat wave year), Timeseries of daytime surface temperature from AIRS sensor for the boxed region |
4.
Let’s see how this is linked to aerosols or suspended particles in the
atmosphere. In this context, satellites look down on Earth and see how much
turbid the atmosphere is or how thick is the layer of aerosols in the
atmospheric column extending from surface (caveat!) until the top of the
atmosphere. Here, I show aerosol loadings seen from a UV sensor (OMI) onboard
the Aqua. The spatial maps of UV aerosol index (representing mostly dust and smoke) are shown below for May 2010, 2011, 2012, 2013, 2014, and 2015 (once again, focus on the boxed region that was pointed above in the initial figure in red).
|
If
you look closer on the monthly average aerosol loading for May from OMI,
starting from 2010 until 2015, voila! Does the pattern seem familiar? We see
the distinct biennial pattern here as well! (High aerosol loading – high aerosol
loading – cold. 2010 is high, 2011 cold, 2012, 2013, high, 2014, cold, 2015 is
high).
To me, it looks like a promising link - Biennial patterns in increase in surface temperature patterns (hot hot cold) and aerosol loadings (high loading, high, low). What are the probable aerosols that could impact the intensity of heat waves, if the results here, hold good? See you in my next blog..
Thanks for reading!
Here the number of points and ideas given are quite helpful and to my interests as well, Looking forward the best and efficient use of these provided points, contents and ideas.
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