Flexible forecast presentation overcomes longstanding obstacles to using probabilistic seasonal forecasts

JW Hansen, T Dinku, AW Robertson, R Cousin… - Frontiers in …, 2022 - frontiersin.org
We describe an innovative forecast presentation that aims to overcome obstacles to using
seasonal climate forecasts for decision making, trace factors that influenced how seasonal …

ENSO prediction

ML L'Heureux, AFZ Levine, M Newman… - El Niño Southern …, 2020 - Wiley Online Library
Summary The El Niño‐Southern Oscillation (ENSO) is a coupled ocean‐atmosphere
phenomenon of variability that is a leading source of seasonal climate prediction skill across …

Inference of thermodynamic state in the asthenosphere from anelastic properties, with applications to North American upper mantle

C Havlin, BK Holtzman, E Hopper - Physics of the Earth and Planetary …, 2021 - Elsevier
Inference of thermodynamic state and full-spectrum mechanical behavior of the lithosphere
and asthenosphere is a central problem in geophysics, implicating our understanding of the …

Assessment of APCC multimodel ensemble prediction in seasonal climate forecasting: Retrospective (1983–2003) and real‐time forecasts (2008–2013)

YM Min, VN Kryjov, SM Oh - Journal of Geophysical Research …, 2014 - Wiley Online Library
Abstract Since 2007, the Asia‐Pacific Economic Cooperation (APEC) Climate Center
(APCC) has monthly issued multimodel ensemble (MME) seasonal predictions for 3 months …

Seasonal predictability of primary East Asian summer circulation patterns by three operational climate prediction models

F Zhou, HL Ren, ZZ Hu, MH Liu, J Wu… - Quarterly Journal of the …, 2020 - Wiley Online Library
Seasonal predictability of the Primary East‐Asian Summer Circulation Patterns (PEASCPs),
including the Western Pacific Subtropical High (WPSH), South Asian High (SAH) …

A deep neural multi-model ensemble (DNM2E) framework for modelling groundwater levels over Kerala using dynamic variables

A Keerthana, A Nair - Stochastic Environmental Research and Risk …, 2023 - Springer
Modelling, predicting, and forecasting hydrological phenomena like groundwater have been
one of the prominent applications of artificial intelligence techniques. Using Multi-Layer …

The status and prospect of seasonal climate prediction of climate over Korea and East Asia: a review

JH Jeong, H Lee, JH Yoo, MH Kwon, SW Yeh… - Asia-Pacific Journal of …, 2017 - Springer
Over the last few decades, there have been startling advances in our understanding of
climate system and in modelling techniques. However, the skill of seasonal climate …

Assessment of MME methods for seasonal prediction using WMO LC‐LRFMME hindcast dataset

G Kim, JB Ahn, VN Kryjov, WS Lee… - International Journal …, 2021 - Wiley Online Library
Different multi‐model ensemble (MME) methods were investigated for their potential to
improve the skill of 1‐month lead seasonal forecast products, based on six models from …

Skill of real-time operational forecasts with the APCC multi-model ensemble prediction system during the period 2008–2015

YM Min, VN Kryjov, SM Oh, HJ Lee - Climate Dynamics, 2017 - Springer
This paper assesses the real-time 1-month lead forecasts of 3-month (seasonal) mean
temperature and precipitation on a monthly basis issued by the Asia-Pacific Economic …

[HTML][HTML] Southeastern US rainfall prediction in the North American multi-model ensemble

JM Infanti, BP Kirtman - Journal of Hydrometeorology, 2014 - journals.ametsoc.org
Southeastern US Rainfall Prediction in the North American Multi-Model Ensemble in: Journal
of Hydrometeorology Volume 15 Issue 2 (2014) Jump to Content Jump to Main Navigation …