The University of Southampton
University of Southampton Institutional Repository

Determining preference for weather and atmospheric conditions: methodology and an application

Determining preference for weather and atmospheric conditions: methodology and an application
Determining preference for weather and atmospheric conditions: methodology and an application
The medical and psychological literatures suggest a clear effect of weather and atmospheric conditions on athletic performance. Despite this, little attention has been given to measuring the influence of weather and atmospheric factors when forecasting performance in sport. Consequently, we develop a modelling procedure to maximise the extraction of information concerning the influence of a myriad of environmental conditions on sporting performance. We illustrate this procedure by examining to what extent both thoroughbred horses and their jockeys can be shown to have a ‘preference’ for particular weather and atmospheric factors. To achieve this, we employ data from the Met Office Integrated Data Archive System and demonstrate that our model is effective at capturing the influence of these environmental factors when forecasting performance in horseracing.
Environmental conditions, Forecasting, Preferences
1-10
University of Southampton
Costa Sperb, Luis Felipe
9e42a3f1-c9be-45b9-8680-eb558b52aab3
Sung, Ming-Chien
2114f823-bc7f-4306-a775-67aee413aa03
Ma, Tiejun
1f591849-f17c-4209-9f42-e6587b499bae
Johnson, Johnnie
6d9f1a51-38a8-4011-a792-bfc82040fac4
Costa Sperb, Luis Felipe
9e42a3f1-c9be-45b9-8680-eb558b52aab3
Sung, Ming-Chien
2114f823-bc7f-4306-a775-67aee413aa03
Ma, Tiejun
1f591849-f17c-4209-9f42-e6587b499bae
Johnson, Johnnie
6d9f1a51-38a8-4011-a792-bfc82040fac4

Costa Sperb, Luis Felipe, Sung, Ming-Chien, Ma, Tiejun and Johnson, Johnnie (2017) Determining preference for weather and atmospheric conditions: methodology and an application Southampton. University of Southampton 10pp.

Record type: Monograph (Working Paper)

Abstract

The medical and psychological literatures suggest a clear effect of weather and atmospheric conditions on athletic performance. Despite this, little attention has been given to measuring the influence of weather and atmospheric factors when forecasting performance in sport. Consequently, we develop a modelling procedure to maximise the extraction of information concerning the influence of a myriad of environmental conditions on sporting performance. We illustrate this procedure by examining to what extent both thoroughbred horses and their jockeys can be shown to have a ‘preference’ for particular weather and atmospheric factors. To achieve this, we employ data from the Met Office Integrated Data Archive System and demonstrate that our model is effective at capturing the influence of these environmental factors when forecasting performance in horseracing.

Text
Preference dscussion paper - Author's Original
Restricted to Repository staff only
Request a copy

More information

Published date: 26 October 2017
Additional Information: For a copy of this paper please contact eprints@soton.ac.uk
Keywords: Environmental conditions, Forecasting, Preferences

Identifiers

Local EPrints ID: 415092
URI: https://eprints.soton.ac.uk/id/eprint/415092
PURE UUID: ae0bf603-0d20-46cc-8e51-071180f44f3f
ORCID for Ming-Chien Sung: ORCID iD orcid.org/0000-0002-2278-6185

Catalogue record

Date deposited: 26 Oct 2017 16:30
Last modified: 30 Jul 2019 00:35

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×