Thongchai Thailand

LIST OF POSTS ON TROPICAL CYCLONES

Posted on: January 30, 2021

  1. TRENDS IN TROPICAL CYCLONE ACTIVITY: https://tambonthongchai.com/2018/11/28/trends-in-tropical-cyclone-activity/
  2. TROPICAL CYCLONES AND SST: https://tambonthongchai.com/2019/03/22/ace-sst/
  3. TROPICAL CYCLONES OF THE PRE-INDUSTRIAL ERA: https://tambonthongchai.com/2019/04/04/1737/
  4. TROPICAL CYCLONES AND CLIMATE CHANGE 2019: https://tambonthongchai.com/2019/08/01/tropical-cyclones-climate-change/
  5. TROPICAL CYCLONES AND CLIMATE CHANGE 2020: https://tambonthongchai.com/2020/03/04/agwcyclones/
  6. A FAILED OBSESSION WITH TROPICAL CYCLONES: https://tambonthongchai.com/2020/09/20/a-failed-obsession-with-tropical-cyclones/
  7. THE HURRICANE OBSESSION OF CLIMATE SCIENCE: https://tambonthongchai.com/2019/11/14/hurricane-obsession/
  8. CLIMATE CHANGE AND HURRICANES: https://tambonthongchai.com/2018/09/18/climate-change-hurricanes/
  9. TOTAL HURRICANE ENERGY AND FOSSIL FUEL EMISSIONS: https://tambonthongchai.com/2018/09/15/emissions-hurricanes/
  10. WHAT TOM NUTSON SAYS: “Tropical cyclones and climate change.” Nature geoscience 3.3 (2010): 157-163. In the paper, Tom Knutson spells out exactly what climate science claims in terms of the impact of AGW climate change on tropical cyclones with climate model predictions of the effect of rising SST on tropical cyclones. His main points are as follows: (1) Globally averaged intensity of tropical cyclones will rise as AGW increases SST. Models predict globally averaged intensity increase of 2% to 11% by 2100. (2). Models predict falling globally averaged frequency of tropical cyclones with frequency decreasing 6%-34% by 2100. (3). The globally averaged frequency of “most intense tropical cyclones” should increase as a result of AGW. The intensity of tropical cyclones is measured as the ACE (Accumulated Cyclone Energy). (4). Models predict increase in precipitation within a 100 km radius of the storm center. A precipitation rise of 20% is projected for the year 2100. (5) Extremely high variance in tropical cyclone data at an annual time scale suggests longer, perhaps a decadal time scale which in turn greatly reduces statistical power. (6) Model projections for individual cyclone basins show large differences and conflicting results. Thus, no testable implication can be derived for studies of individual basins.

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