Journal article icon

Journal article

Bridging multi-annual to seasonal forecasts to develop seamless information for climate extremes: frost risk application

Abstract:
We propose a new temporal merging method for seamless climate forecast information of climate extremes. In order to construct stable and seamless climate forecast information for user-oriented climate extremes, ensemble members are pooled across available start dates using relative weights, for a target season. Recently, vineyard farmers from Catalonia, Spain, reported frost risk during spring months (March and April). The observations show high interannual variability of the Frequency of Frost Days (FFD) over Catalonia for the period 1983-2022. Multi-annual to seasonal forecasts from the European Centre for Medium-Range Weather Forecasts shows a varying level of FFD forecast skill for lead times 1 to 22 months. The temporally merged weighted forecast enhances forecast skill compared to individual start dates, by adding information from previous start dates, at no additional computational cost. For most start dates, the skill is primarily attributed to the warming trends, except for few start dates, where remanent forecast skill is attributed to internal variability. The proposed anticipatory framework “Ready-Steady-Action/Go” shows that adopting seamless climate forecast information can bring 20 to 30% potential economic value for vineyard farmers, with a maximum value noted for multi-annual forecasts.
Publication status:
Accepted
Peer review status:
Peer reviewed

Actions

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Role:
Author
ORCID:
0000-0002-7389-7977
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Role:
Author
ORCID:
0000-0002-7231-6974


More from this funder
Funder identifier:
https://ror.org/001aqnf71
Grant:
101081460


Publisher:
Springer Nature
Journal:
npj Natural Hazards More from this journal
EISSN:
2948-2100


Language:
English
Keywords:
Pubs id:
2454513
Local pid:
pubs:2454513
Deposit date:
2026-09-02
ARK identifier:


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