Back to Search

Journal article

Comparing probabilistic forecasts of the daily minimum and maximum temperature

Abstract:: Understanding changes in the frequency, severity, and seasonality of daily temperature extremes is important for public policy decisions regarding heat waves and cold snaps. A heat wave is sometimes defined in terms of both the daily minimum and maximum temperature, which necessitates the generation of forecasts of their joint distribution. In this paper, we develop time series models with the aim of providing insight and producing forecasts of the joint distribution that can challenge the ac...
Expand abstract
Collapse abstract

Publication status:: Published

Peer review status:: Peer reviewed

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Cite

Cite this record

APA Style

Meng, X., & Taylor, J. (2021). Comparing probabilistic forecasts of the daily minimum and maximum temperature. International Journal of Forecasting.

MLA Style

Meng, X., and J. Taylor. “Comparing Probabilistic Forecasts of the Daily Minimum and Maximum Temperature.” International Journal of Forecasting, Elsevier, 2021.

Chicago Style

Meng, X, and J Taylor. 2021. “Comparing Probabilistic Forecasts of the Daily Minimum and Maximum Temperature.” International Journal of Forecasting.
Tweet
Print

Access Document

Publisher copy:: 10.1016/j.ijforecast.2021.05.007

Authors

+ Meng, X More by this author

Role:

Author

+ Taylor, J More by this author

Institution:

University of Oxford

Division:

SSD

Department:

Saïd Business School

Role:

Author

Bibliographic Details

Publisher:: Elsevier Publisher's website
Journal:: International Journal of Forecasting Journal website
Publication date:: 2021-07-03
Acceptance date:: 2021-05-13
DOI:: 10.1016/j.ijforecast.2021.05.007
ISSN:: 0169-2070

Item Description

Language:: English
Keywords:: probabilistic forecasting

VARMA-MGARCH

weather ensemble predictions

FFR
Pubs id:: 1176653
Local pid:: pubs:1176653
Deposit date:: 2021-05-17

Terms of use

Copyright holder:: Elsevier B.V.
Copyright date:: 2021
Rights statement:: © 2021 Published by Elsevier B.V. on behalf of International Institute of Forecasters.

Licence:: Terms and Conditions of Use for Oxford University Research Archive

Metrics

Views and Downloads

About views and downloads

If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP