Year: 2025
Type: data-paper
Abstract: The multi-model ensemble (MME) technique is useful for obtaining reliable climate information. The Asia-Pacific Economic Cooperation Climate Center (APCC) has provided well-constructed MME data and individual model data included in the MME. This study examines the prediction skill of the APCC MME, focusing on 2-m temperature, precipitation, and sea surface temperature. For the overall evaluation of the APCC MME, the hindcast skill was assessed for the period of 1991-2010 for four sets of APCC MME representing the operational model suites from 2019 to 2022. The forecast skill was also evaluated to demonstrate actual predictability from 2019 to 2022. Hindcast validation showed a modest improvement, indicating continuous enhancement. In addition, it was demonstrated that the forecast skill was consistently maintained. These seasonal forecast data can provide valuable insights for decision-making across various sectors, helping mitigate risks and optimize resource management.
Source: Scientific Data
Authors: Yoo-Bin Yhang, Chang-Mook Lim, Daeun Jeong
Institution: APEC Climate Center
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $2,490
Award: G544569680
OpenAlex ID: W4407783783