Arctic‐wide sea ice thickness estimates from combining satellite remote sensing data and a dynamic ice‐ocean model with data assimilation during the CryoSat‐2 …
Exploiting the complementary character of CryoSat‐2 and Soil Moisture and Ocean Salinity
satellite sea ice thickness products, daily Arctic sea ice thickness estimates from October …
satellite sea ice thickness products, daily Arctic sea ice thickness estimates from October …
Improving the Met Office's Forecast Ocean Assimilation Model (FOAM) with the assimilation of satellite‐derived sea‐ice thickness data from CryoSat‐2 and SMOS in …
D Mignac, M Martin, E Fiedler… - Quarterly Journal of …, 2022 - Wiley Online Library
Derived from two complementary satellites, CryoSat‐2 and Soil Moisture and Ocean Salinity
(SMOS), sea ice thickness (SIT) data are assimilated into the Met Office's global ocean–sea …
(SMOS), sea ice thickness (SIT) data are assimilated into the Met Office's global ocean–sea …
Improving sea ice thickness estimates by assimilating CryoSat‐2 and SMOS sea ice thickness data simultaneously
The impact of assimilating weekly CryoSat‐2 sea ice thickness data together with daily
SMOS sea ice thickness and daily SSMIS sea ice concentration data on the sea ice fields of …
SMOS sea ice thickness and daily SSMIS sea ice concentration data on the sea ice fields of …
Assimilation of satellite-retrieved sea ice concentration and prospects for September predictions of Arctic sea ice
The current GFDL seasonal prediction system achieved retrospective sea ice extent (SIE)
skill without direct sea ice data assimilation. Here we develop sea ice data assimilation …
skill without direct sea ice data assimilation. Here we develop sea ice data assimilation …
[HTML][HTML] Insights on sea ice data assimilation from perfect model observing system simulation experiments
Simulating Arctic sea ice conditions up to the present and predicting them several months in
advance has high stakeholder value, yet remains challenging. Advanced data assimilation …
advance has high stakeholder value, yet remains challenging. Advanced data assimilation …
Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts during Xuelong's first trans-Arctic Passage in summer 2017
In an effort to improve the reliability of Arctic sea-ice predictions, an ensemble-based Arctic
Ice Ocean Prediction System (ArcIOPS) has been developed to meet operational demands …
Ice Ocean Prediction System (ArcIOPS) has been developed to meet operational demands …
Sea ice export through the Fram Strait derived from a combined model and satellite data set
Sea ice volume export through the Fram Strait plays an important role in the Arctic
freshwater and energy redistribution. The combined model and satellite sea ice thickness …
freshwater and energy redistribution. The combined model and satellite sea ice thickness …
Improving Arctic sea ice seasonal outlook by ensemble prediction using an ice-ocean model
Abstract An ensemble based Sea Ice Seasonal Prediction System (SISPS) is configured
towards operationally predicting the Arctic summer sea ice conditions. SISPS runs as a pan …
towards operationally predicting the Arctic summer sea ice conditions. SISPS runs as a pan …
2017 年夏季北极中央航道海冰观测特征及海冰密集度遥感产品评估
郝光华， 赵杰臣， 李春花， 杨清华， 王江鹏， 孙晓宇… - 海洋学报, 2018 - hyxbocean.cn
2017 年夏季中国第八次北极科学考察期间," 雪龙" 号极地考察船首次成功穿越北极中央航道,
期间全程开展了海冰要素的人工观测. 中央航道走航期间的平均海冰密集度和平均冰厚分别为 …
期间全程开展了海冰要素的人工观测. 中央航道走航期间的平均海冰密集度和平均冰厚分别为 …
Review of research on Arctic sea ice physics based on the Chinese National Arctic Research Expedition
L Ruibo, Z Zhanhai, L Zhijun… - Advances in Polar …, 2017 - library.arcticportal.org
China launched its Arctic research program and organized the first Chinese National Arctic
Research Expedition (CHINARE-Arctic) in 1999. By 2016, six further expeditions had been …
Research Expedition (CHINARE-Arctic) in 1999. By 2016, six further expeditions had been …