[HTML][HTML] Predicting rainfall response to climate change and uncertainty analysis: Introducing a novel downscaling CMIP6 models technique based on the stacking …
MV Anaraki, M Kadkhodazadeh… - Journal of Water and …, 2023 - iwaponline.com
This study proposes a novel downscaling technique based on stacking ensemble machine
learning (SEML) to predict rainfall under climate change. The SEML consists of two levels …
learning (SEML) to predict rainfall under climate change. The SEML consists of two levels …
A multivariate dynamic statistical model of the global carbon budget 1959–2020
M Bennedsen, E Hillebrand… - Journal of the Royal …, 2023 - academic.oup.com
We propose a multivariate dynamic statistical model of the global carbon budget (GCB) as
represented in the annual data set made available by the Global Carbon Project, covering …
represented in the annual data set made available by the Global Carbon Project, covering …
Hydrological drought analysis in response to climate change based on a novel hybrid machine learning algorithm
For the first time, a combination of metaheuristic algorithms and machine learning is used for
hydrological drought analysis under climate change conditions and applications. The new …
hydrological drought analysis under climate change conditions and applications. The new …
[PDF][PDF] VU Research Portal
We propose a multivariate dynamic statistical model of the global carbon budget (GCB) as
represented in the annual data set made available by the Global Carbon Project, covering …
represented in the annual data set made available by the Global Carbon Project, covering …