How to predict seasonal weather and monsoons with radionuclide monitoring

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How to predict seasonal weather and monsoons with radionuclide monitoring. / Terzi, Lucrezia; Kalinowski, Martin; Schoeppner, Michael; Wotawa, Gerhard.

In: Scientific Reports, Vol. 9, 2729, 25.02.2019, p. 1-6.

Research output: Contribution to journalArticlepeer-review

Harvard

Terzi, L, Kalinowski, M, Schoeppner, M & Wotawa, G 2019, 'How to predict seasonal weather and monsoons with radionuclide monitoring', Scientific Reports, vol. 9, 2729, pp. 1-6. https://doi.org/10.1038/s41598-019-39664-7

APA

Terzi, L., Kalinowski, M., Schoeppner, M., & Wotawa, G. (2019). How to predict seasonal weather and monsoons with radionuclide monitoring. Scientific Reports, 9, 1-6. [2729]. https://doi.org/10.1038/s41598-019-39664-7

Vancouver

Terzi L, Kalinowski M, Schoeppner M, Wotawa G. How to predict seasonal weather and monsoons with radionuclide monitoring. Scientific Reports. 2019 Feb 25;9:1-6. 2729. https://doi.org/10.1038/s41598-019-39664-7

Author

Terzi, Lucrezia ; Kalinowski, Martin ; Schoeppner, Michael ; Wotawa, Gerhard. / How to predict seasonal weather and monsoons with radionuclide monitoring. In: Scientific Reports. 2019 ; Vol. 9. pp. 1-6.

Bibtex - Download

@article{60bb8c15e4264ae49e13f8eda0e5b8d2,
title = "How to predict seasonal weather and monsoons with radionuclide monitoring",
abstract = "Monsoon in India is of particular importance for the $2 trillion economy, highly dependent on agriculture. Monsoon rains water two-thirds of India's harvest. However, the monsoon season also causes large-scale flooding, resulting in loss of human life and economic damage estimated around $7 billion annually. Beryllium-7 is a tracer that can be used to monitor the intensity of stratosphere-troposphere exchange, which varies in accordance with the annual cycle of the global atmospheric circulation (Hadley, Ferrel and Polar cells). Based on the beryllium-7 data collected globally as part of the monitoring of the Comprehensive Nuclear-Test-Ban Treaty, the presented empirical method demonstrates the possibility to predict the start, withdrawal and intensity of the Indian monsoon season. Onset can be forecasted with an unprecedented accuracy of ±3 days, 2 months in advance compared to 1-3 weeks in advance by traditional methods. Applying this new method will enable better preparation for economic and natural hazard impacts of the monsoon season in India. This method can also be extended to other regions where the movement of Hadley cells governs monsoon onset and withdrawal",
keywords = "Atmospheric dynamics, Enviromental impact, experimental particle physics, governance, natural hazards",
author = "Lucrezia Terzi and Martin Kalinowski and Michael Schoeppner and Gerhard Wotawa",
note = "Score=10",
year = "2019",
month = feb,
day = "25",
doi = "10.1038/s41598-019-39664-7",
language = "English",
volume = "9",
pages = "1--6",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",

}

RIS - Download

TY - JOUR

T1 - How to predict seasonal weather and monsoons with radionuclide monitoring

AU - Terzi, Lucrezia

AU - Kalinowski, Martin

AU - Schoeppner, Michael

AU - Wotawa, Gerhard

N1 - Score=10

PY - 2019/2/25

Y1 - 2019/2/25

N2 - Monsoon in India is of particular importance for the $2 trillion economy, highly dependent on agriculture. Monsoon rains water two-thirds of India's harvest. However, the monsoon season also causes large-scale flooding, resulting in loss of human life and economic damage estimated around $7 billion annually. Beryllium-7 is a tracer that can be used to monitor the intensity of stratosphere-troposphere exchange, which varies in accordance with the annual cycle of the global atmospheric circulation (Hadley, Ferrel and Polar cells). Based on the beryllium-7 data collected globally as part of the monitoring of the Comprehensive Nuclear-Test-Ban Treaty, the presented empirical method demonstrates the possibility to predict the start, withdrawal and intensity of the Indian monsoon season. Onset can be forecasted with an unprecedented accuracy of ±3 days, 2 months in advance compared to 1-3 weeks in advance by traditional methods. Applying this new method will enable better preparation for economic and natural hazard impacts of the monsoon season in India. This method can also be extended to other regions where the movement of Hadley cells governs monsoon onset and withdrawal

AB - Monsoon in India is of particular importance for the $2 trillion economy, highly dependent on agriculture. Monsoon rains water two-thirds of India's harvest. However, the monsoon season also causes large-scale flooding, resulting in loss of human life and economic damage estimated around $7 billion annually. Beryllium-7 is a tracer that can be used to monitor the intensity of stratosphere-troposphere exchange, which varies in accordance with the annual cycle of the global atmospheric circulation (Hadley, Ferrel and Polar cells). Based on the beryllium-7 data collected globally as part of the monitoring of the Comprehensive Nuclear-Test-Ban Treaty, the presented empirical method demonstrates the possibility to predict the start, withdrawal and intensity of the Indian monsoon season. Onset can be forecasted with an unprecedented accuracy of ±3 days, 2 months in advance compared to 1-3 weeks in advance by traditional methods. Applying this new method will enable better preparation for economic and natural hazard impacts of the monsoon season in India. This method can also be extended to other regions where the movement of Hadley cells governs monsoon onset and withdrawal

KW - Atmospheric dynamics

KW - Enviromental impact

KW - experimental particle physics

KW - governance

KW - natural hazards

UR - https://ecm.sckcen.be/OTCS/llisapi.dll/open/33509864?func=ll&objId=33509864&objaction=overview&tab=1

U2 - 10.1038/s41598-019-39664-7

DO - 10.1038/s41598-019-39664-7

M3 - Article

VL - 9

SP - 1

EP - 6

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 2729

ER -

ID: 5038418