Impact of Roanu cyclone on soil wetness over coastal region of Tamilnadu, Andhra and Orissa state

13th May, 2016

INSAT-3D IMR Product

(1)

15th May, 2016

INSAT-3D IMR Product

(2)

18th May, 2016

INSAT-3D IMR Product

(3)21st May, 2016

INSAT-3D IMR Product

(4)

12th May, 2016 16th May, 2016

19th May, 2016 22th May, 2016

Impact of Roanu cyclone on soil wetness over coastal region of Tamil nadu, Andhra Pradesh and Orissa state

• Cyclonic storm, Roanu, originated from a low pressure area formed over the Bay of Bengalon 14th May 2016, which gradually drifted towards north and intensified into a cyclonicstorm on 19th May.

• Parts of Tamilnadu, Andhra Pradesh, Odisha received very heavy rainfall.

• Southern part of West Bengal also received moderate to heavy rainfall before the cyclonehad a landfall on 21st May, 2016 at Bangladesh coast.

Progress of Monsoon and flood situation over Madhya Pradesh and Maharashtra states due to very heavy rainfall

24th June, 2016

27th June, 2016 30th June, 2016

(2)

(3) (4)

21st June, 2016

(1)

INSAT-3D IMR Product

INSAT-3D IMR Product

INSAT-3D IMR Product

INSAT-3D IMR Product

22nd June, 2016 25th June, 2016

28th June, 2016 1st July, 2016

3rd July, 2016 6th July, 2016

9th July, 2016

(5) (6)

(7)

INSAT-3D IMR Product

INSAT-3D IMR Product

INSAT-3D IMR Product

4th July, 2016 7th July, 2016

10th July, 2016

Progress of Monsoon and flood situation over Madhya Pradesh and Maharashtra states observed by soil wetness index maps

• Torrential rain over central India, caused severe flood condition and numberof districts of Madhya Pradesh (Bhopal, Vidisha, Satna etc.) were severelyaffected during end of June, 2016 onwards.

• Several parts of Maharashtra also experienced flood like situation due toincessant rains for several days.

• Nasik, Kolhapur, parts of Konkan, Marathwada and Vidarbha region areworst effected by this.

Conclusions

• Post effects of heavy rainfall have been observed in soil wetnessindex (SWI) maps, which show fully saturated soil conditions.

• INSAT-3D IMR (INSAT Multispectral Rainfall) shows heavy rainfallduring this period.

• These observations along with rainfall information shows that soilwetness index maps have high potential to indicate relative soilmoisture.

• Soil wetness index can thus be used as an indicator for monitoringvarious soil moisture conditions.