The Value of Meteorological Data in Optimizing the Pattern of Physical Load—A Forecast Model of Rowing Pacing Strategy

Tian Yan, Xiaodong Zhu, Xuesong Ding and Liming Chen
Additional contact information
Tian Yan: Division of Sports Science and Physical Education, North China University of Science and Technology, Tangshan 063210, China
Xiaodong Zhu: Division of Sports Science and Physical Education, Tsinghua University, Beijing 100084, China
Xuesong Ding: School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China
Liming Chen: Division of Sports Science and Physical Education, Tangshan Polytechnic College, Tangshan 063299, China

IJERPH, 2021, vol. 19, issue 1, 1-17

Abstract: Mastering the information of arena environment is the premise for athletes to optimize their patterns of physical load. Therefore, improving the forecast accuracy of the arena conditions is an urgent task in competitive sports. This paper excavates the meteorological features that have great influence on outdoor events such as rowing and their influence on the pacing strategy. We selected the meteorological data of Tokyo from 1979 to 2020 to forecast the meteorology during the Tokyo 2021 Olympic Games, analyzed the athletes’ pacing choice under different temperatures, humidity and sports levels, and then recommend the best pacing strategy for rowing teams of China. The model proposed in this paper complements the absence of meteorological features in the arena environment assessment and provides an algorithm basis for improving the forecast performance of pacing strategies in outdoor sports.

Keywords: rowing; meteorological data; pacing strategy; physical load; forecast (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/1/320/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/1/320/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2021:i:1:p:320-:d:713462

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().