INDIAN SW MONSOON INTRA-SEASONAL VARIABILITY IS CAUSED BY THE WORLD'S DAMS

 Intra-seasonal South-West Monsoon Extreme Variability of Wet and Dry spells  is driven by World Dam Dynamics.

By Ramaswami Ashok Kumar, B.E.,M.E., Negentropist, Bombay Sarvodaya Mandal, 299, Tardeo Road, Nana Chowk, Mumbai-400007.

© 2022 Ramaswami Ashok Kumar

Invocation

broohi mukundeti

https://www.youtube.com/watch?v=31vQFHBhJoQ

There is true knowledge, learn thou it is this:

To see one changeless life in all the lives, in the separate, the inseparable.

There is imperfect knowledge: To see the separate existences apart,

And seeing them apart, to hold that to be true.

And there is false knowledge:

To cling to one as if it were all,

Heedless of the consequences, heedless of the harm,

Narrow, dull and dark.

---- Timeless and Authorless, The Bhagavad Gita,

Edwin Arnold in the Song Celestial.

1. DON’T MISTAKE THE GHGs FOR THE DAMS(10a,12,13,14,15)

Surface temperature of the earth is determined by the world’s dams dynamically and continuously applying forces and bending moments proportional to dam content changes. These result in earthquakes through melting of rocks caused by  sudden temperature inputs of millions of degrees kelvin approximately every 15 minutes give or take two or three minutes. Simultaneously these result in forest fires, cloudbursts, cyclones, extremes of rain, flash floods, landslides, projectiles of rock and ice flying and bursting glaciers and causing movement of earth equivalent to geomorphological changes caused by 1000 one megaton hydrogen bombs. See Figure 16Ch16. The IPCC is mistaking the GHGs for the dams. Katzenberger et al(11) and others without exception have not been able to pinpoint the root cause namely the world’s dams as has been identified here robustly regarding the Indian SW monsoon and its variability using raw data on annual world dam capacity, daily world dam content change and daily rainfall and its AVERAGE DEVIATION from the mean.

2. The Mumbai(Santa Cruz) mean daily rainfall, mm/d is rigidly determined by Annual World Dam Capacity as shown in Figure 6Ch6 and the other figures below. Average deviations from the mean are controlled rigidly by the dam content changes and the annual dam capacities.

 

3. Similarly, the All India AVEDEV of Mean Daily Rainfall during June to September, mm/d is rigidly determined by Annual World Dam Capacity as  shown in Figure 6Ch6 and other figures below:

4. This rigid determination of the characteristics of the daily rain by World Dam Dynamics extends right till how much rain should fall on each day. The world’s total dam content changes for each day determine the daily rain, mm/d. See the figures below. See how as the world dam capacity builds up, the hold on the rain by the dams goes on becoming stronger and stronger until it becomes rigid and unbreakable.

The x-axis in Fig 5Ch5 is World Dam Capacity from 1990 to 2020. 

5. See how the control by the dams increases by leaps and bounds from 2006 to 2020:

6. See after 63 days delay how the vice like grip  of World Dam Dynamics takes hold of the rain forcing it to follow rigidly for Mumbai during Monsoon 2020:

 

6a. All India June to September 2020 daily dam content change correlates significantly with 43 day lagged All India Mean Daily Rain (Fig 19Ch19).

7. The control during the monsoon is seen to hold rigidly. See how dam control is effective during the monsoons of 2006 to 2020:

8. The daily rain as recorded by rain gauges is rigidly controlled by the World’s dams. See Fig 9Ch9 for the variation in the daily rain from 1950 to 2020 and the AVERAGE DEVIATION, AVEDEV from the mean for Mumbai(Santa Cruz).

9.  The All India Mean daily rain is increasing with years in tune with world dam capacity in piecewise linear fashion. It is in synchronism with annual sum of daily dam content change from 2006 to 2020(Figure 13Ch13).

10. Method of Analysis

10.1 Earthquake data is used to generate daily world dam content changes(1,2,3,4).

10.2 Rainfall data has been sourced from India Meteorological Department and associated  websites.

https://mausam.imd.gov.in/

10.3 World dam capacity has been derived from CIGRE data base from 2.

10.4 Using data generated above the described linear and non-linear correlations have been calculated as detailed in the various figures and tables.

 

11. References

1. Data for earthquakes from USGS earthquake search website and emsc-csem.org.

https://earthquake.usgs.gov/earthquakes/search/

https://www.emsc-csem.org/Earthquake/?filter=yes

2. Ramaswami Ashok Kumar. 2015. PREDICTING EARTHQUAKES: The science of dams causing earthquakes and climate change. Blogspot

https://predictingquakes.blogspot.com/2015/04/the-science-of-dams-causing-earthquakes.html

3. Ramaswami Ashok Kumar. 2006. EARTHQUAKES CAUSED BY DAMS. blogspot

https://earthquakescausedbydams.blogspot.com/2006/07/title-earthquakes-caused-by-dams.html

4. Ramaswami Ashok Kumar. 2011. Glaring Lacuna in meeting water needs. Blogspot

https://glaringlacuna.blogspot.com/2011/04/glaring-lacuna-in-meeting-water-needs.html

5. Ramaswami Ashok Kumar.2017. PERFECT DESIGNS: Ignore root cause, get root shock- Dams the cause of Irma's Fury. Blogspot

https://livingnormally.blogspot.com/2017/10/ignore-root-cause-get-root-shock-dams.html

6. Ramaswami Ashok Kumar.2016. PERFECT DESIGNS: The average happiness created by the dams of the world is zero: They are extinction breeders.Replace them with forests.blogspot

https://livingnormally.blogspot.com/2016/05/the-average-happiness-created-by-dams.html

7.  Ramaswami Ashok Kumar. 2018. PERFECT DESIGNS: The 2018 Kerala Floods- A Disaster created by Dam Dynamics. Blogspot

https://livingnormally.blogspot.com/2018/09/the-2018-kerala-floods-disaster-created.html

8. Ramaswami Ashok Kumar.2017. PERFECT DESIGNS: DAMS CAUSED FUKUSHIMA DAICHI TO MELT AND EXPLODE.blogspot

https://livingnormally.blogspot.com/2017/12/dams-caused-fukushima-daichi-to-melt.html

9. Ramaswami Ashok Kumar. 2013.  Glaring Lacuna in meeting water needs: The World's dams are causing Extinction with the Perfect Disappearance of 2028 MW Triple Cores at Fukushima. Blogspot

https://glaringlacuna.blogspot.com/2013/10/the-worlds-dams-are-causing-extinction.html

10. Ramaswami Ashok Kumar. 2015. collaterals of climate change. Tamilnadu flood during North East Monsoon 2015. Blogspot

https://collateralsofclimatechange.blogspot.com/2015/11/tamilnadu-flood-during-north-east.html

10a. Ramaswami Ashok Kumar.2021. MODERN AND NORMAL CIVILIZATIONS: CLIMATE CHANGE BY DAMS: THE 26 AUGUST 2021 HURRICANE IDA WAS RIGIDLY MANOEUVRED BY WORLD DAM DYNAMICS. blogspot

https://modernandnormal.blogspot.com/2021/11/climate-change-by-dams-26-august-2021.html

11. Anja Katzenberger et al. 2021. Robust increase of Indian monsoon rainfall and its variability under future warming in CMIP6 models.

https://esd.copernicus.org/articles/12/367/2021/

12. Bibek Bhattacharya.31-07-2021. How climate change is changing the Indian monsoon

Climate change is making the monsoon more erratic and violent. Lounge speaks to experts to understand the forces shaping India's season of rains. mintLounge.

https://lifestyle.livemint.com/news/big-story/dark-clouds-ahead-how-climate-change-is-changing-the-indian-monsoon-111627637725104.html

13. Beependra Singh et al. 2021. Resilience of the Central Indian Forest Ecosystem to Rainfall Variability in the Context of a Changing Climate.

Remote Sens. 2021, 13(21), 4474; https://doi.org/10.3390/rs13214474

The study reaffirms that rainfall is the key climate variable in the tropics regulating the growth of natural vegetation, and the central Indian forests are dominantly resilient to rainfall variation.

https://www.mdpi.com/2072-4292/13/21/4474/htm

14. Ed A.Tyagi et al. 2012.Monsoon Monograph. Vol. 2. INDIA METEOROLOGICAL DEPARTMENT

https://imetsociety.org/wp-content/pdf/docs/MM2.pdf

15. Y. Zhao et al. 2021. Impacts of dams and reservoirs on local climate change: a global perspective. 

Environ. Res. Lett. 16 (2021) 104043 https://doi.org/10.1088/1748-9326/ac263c

End of article Version1. 11 May 2022. Ramaswami Ashok Kumar.