Recently, the Philippines was hit by the Super Typhoon Haiyan. It claimed the lives of so many people and it is estimated to have tolled more than 10,000 lives. 4 days before landfall, the country was already aware about strength of the super typhoon, but the country cannot do anything to bring down its strength before landfall. Can you advise theoretical ways to bring down of the force of typhoons before landfall? Mathematical and physical basis are highly appreciated.
http://edition.cnn.com/2013/11/11/world/asia/typhoon-haiyan/index.html?hpt=hp_t1
I really regret to hear this tragic incident. As a remotely sensed perspective, to the best of my knowledge, we can only predict the amount of rainfall (AE, Arkin and other method), detect the formation and locate its eye (with SAR). Some precursors can be recognized such as anomaly in SST which one the most triggering factors for hurricane creation. For these severe phenomena, a timely prediction is vital in order to keep people from dying. Therefore, remote sensing can make a great contribution to warn affected people. Even minutes are important. I am not in the position to scrutinize some mechanisms (dropping dry ice and silver iodide into them (Projects Cirrus and Stormfury)) in order to weaken typhoons. However, if they had existed, why would not have been used in order to bring down Katrina hurricane (most destructive hurricane ever to strike the U.S on August 28, 2005)? From my point of view, we should only think about the prediction of these disasters and build our buildings more firmly.
About the mentioned approaches in order to estimate the amount of rainfall, I enclosed cloud top-temperature ,GPI and AE method for Katrina hurricane.
Thank you Amir. From your perspective, what I perceive is that it is better to put efforts on the preventive actions to ensure that the effects of the super typhoon is minimal and that current actions related to the weakening of typhoons are not yet well-established.
- Badges
- Science topic
- Similar topics
- Agricultural Science
- Environmental Science