Temperature Variability and Natural Disasters

Aatishya Mohanty; Nattavudh Powdthavee; Cheng Keat Tang; Andrew J. Oswald

doi:10.48550/ARXIV.2409.14936

Temperature Variability and Natural Disasters

Aatishya Mohanty, Nattavudh Powdthavee, Cheng Keat Tang, Andrew J. Oswald^* (Corresponding Author)

^*Corresponding author for this work

Research output: Working paper › Preprint

Abstract

This paper studies natural disasters and the psychological costs of climate change. It presents what we believe to be the first evidence that higher temperature variability and not a higher level of temperature is what predicts natural disasters. This conclusion holds whether or not we control for the (incorrectly signed) impact of temperature. The analysis draws upon long-differences regression equations using GDIS data from 1960-2018 for 176 countries and the contiguous states of the USA. Results are checked on FEMA data. Wellbeing impact losses are calculated. To our knowledge, the paper's results are unknown to natural and social scientists.

Original language	English
Publisher	ArXiv
Number of pages	54
DOIs	https://doi.org/10.48550/ARXIV.2409.14936
Publication status	Published - 23 Sept 2024

Bibliographical note

The data sets are publically available.

Keywords

temperature
standard deviation
climate change
mental health
wellbeing
environment
green

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.48550/ARXIV.2409.14936Licence: CC BY

Cite this

@techreport{125d1614d67644688809aba4c2a1dc10,

title = "Temperature Variability and Natural Disasters",

abstract = "This paper studies natural disasters and the psychological costs of climate change. It presents what we believe to be the first evidence that higher temperature variability and not a higher level of temperature is what predicts natural disasters. This conclusion holds whether or not we control for the (incorrectly signed) impact of temperature. The analysis draws upon long-differences regression equations using GDIS data from 1960-2018 for 176 countries and the contiguous states of the USA. Results are checked on FEMA data. Wellbeing impact losses are calculated. To our knowledge, the paper's results are unknown to natural and social scientists.",

keywords = "temperature, standard deviation, climate change, mental health, wellbeing, environment, green",

author = "Aatishya Mohanty and Nattavudh Powdthavee and Tang, {Cheng Keat} and Oswald, {Andrew J.}",

note = "The data sets are publically available. ",

year = "2024",

month = sep,

day = "23",

doi = "10.48550/ARXIV.2409.14936",

language = "English",

publisher = "ArXiv",

type = "WorkingPaper",

institution = "ArXiv",

}

TY - UNPB

T1 - Temperature Variability and Natural Disasters

AU - Mohanty, Aatishya

AU - Powdthavee, Nattavudh

AU - Tang, Cheng Keat

AU - Oswald, Andrew J.

N1 - The data sets are publically available.

PY - 2024/9/23

Y1 - 2024/9/23

N2 - This paper studies natural disasters and the psychological costs of climate change. It presents what we believe to be the first evidence that higher temperature variability and not a higher level of temperature is what predicts natural disasters. This conclusion holds whether or not we control for the (incorrectly signed) impact of temperature. The analysis draws upon long-differences regression equations using GDIS data from 1960-2018 for 176 countries and the contiguous states of the USA. Results are checked on FEMA data. Wellbeing impact losses are calculated. To our knowledge, the paper's results are unknown to natural and social scientists.

AB - This paper studies natural disasters and the psychological costs of climate change. It presents what we believe to be the first evidence that higher temperature variability and not a higher level of temperature is what predicts natural disasters. This conclusion holds whether or not we control for the (incorrectly signed) impact of temperature. The analysis draws upon long-differences regression equations using GDIS data from 1960-2018 for 176 countries and the contiguous states of the USA. Results are checked on FEMA data. Wellbeing impact losses are calculated. To our knowledge, the paper's results are unknown to natural and social scientists.

KW - temperature

KW - standard deviation

KW - climate change

KW - mental health

KW - wellbeing

KW - environment

KW - green

UR - https://arxiv.org/abs/2409.14936

U2 - 10.48550/ARXIV.2409.14936

DO - 10.48550/ARXIV.2409.14936

M3 - Preprint

BT - Temperature Variability and Natural Disasters

PB - ArXiv

ER -

Temperature Variability and Natural Disasters

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this