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Initialized Earth System prediction from subseasonal to decadal timescales
Abstract Initialized Earth System predictions are made by starting a numerical prediction
model in a state as consistent as possible to observations and running it forward in time for …
model in a state as consistent as possible to observations and running it forward in time for …
Antarctic sea ice prediction with A convolutional long short-term memory network
Antarctic sea ice predictions are becoming increasingly important scientifically and
operationally due to climate change and increased human activities in the region …
operationally due to climate change and increased human activities in the region …
Subseasonal prediction of regional Antarctic sea ice by a deep learning model
Antarctic sea ice concentration (SIC) prediction at seasonal scale has been documented, but
a gap remains at subseasonal scale (1–8 weeks) due to limited understanding of ice‐related …
a gap remains at subseasonal scale (1–8 weeks) due to limited understanding of ice‐related …
SIPN South: Six years of coordinated seasonal Antarctic sea ice predictions
Antarctic sea ice prediction has garnered increasing attention in recent years, particularly in
the context of the recent record lows of February 2022 and 2023. As Antarctica becomes a …
the context of the recent record lows of February 2022 and 2023. As Antarctica becomes a …
Introduction to special collection:“Bridging weather and climate: subseasonal‐to‐seasonal (S2S) prediction”
This article acts as an introduction to the JGR‐Atmospheres Special Section titled “Bridging
Weather and Climate: Subseasonal‐to‐Seasonal (S2S) Prediction”. It outlines the major …
Weather and Climate: Subseasonal‐to‐Seasonal (S2S) Prediction”. It outlines the major …
Seasonal prediction and predictability of regional Antarctic sea ice
Compared to the Arctic, seasonal predictions of Antarctic sea ice have received relatively
little attention. In this work, we utilize three coupled dynamical prediction systems developed …
little attention. In this work, we utilize three coupled dynamical prediction systems developed …
A machine learning correction model of the winter clear-sky temperature bias over the Arctic sea ice in atmospheric reanalyses
Atmospheric reanalyses are widely used to estimate the past atmospheric near-surface state
over sea ice. They provide boundary conditions for sea ice and ocean numerical simulations …
over sea ice. They provide boundary conditions for sea ice and ocean numerical simulations …
Ocean‐sea ice processes and their role in multi‐month predictability of Antarctic sea ice
Antarctic sea ice is a critical component of the climate system and a vital habitat for Southern
Ocean ecosystems. Understanding the underlying physical processes and improving …
Ocean ecosystems. Understanding the underlying physical processes and improving …
The year of polar prediction in the Southern hemisphere (YOPP-SH)
Abstract The Year of Polar Prediction in the Southern Hemisphere (YOPP-SH) had a special
observing period (SOP) that ran from 16 November 2018 to 15 February 2019, a period …
observing period (SOP) that ran from 16 November 2018 to 15 February 2019, a period …
Multi-year simulations at kilometre scale with the Integrated Forecasting System coupled to FESOM2. 5 and NEMOv3. 4
We report on the first multi-year kilometre-scale global coupled simulations using ECMWF's
Integrated Forecasting System (IFS) coupled to both the NEMO and FESOM ocean–sea ice …
Integrated Forecasting System (IFS) coupled to both the NEMO and FESOM ocean–sea ice …