Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model
Abstract This paper describes and evaluates the assimilation component of a seamless sea ice prediction system, which is developed based on the fully coupled Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research Climate Model (AWI‐CM, v1.1). Its ocean/ice component with unstructur...
Main Authors: | Longjiang Mu, Lars Nerger, Qi Tang, Svetlana N. Loza, Dmitry Sidorenko, Qiang Wang, Tido Semmler, Lorenzo Zampieri, Martin Losch, Helge F. Goessling |
---|---|
Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2020-04-01
|
Series: | Journal of Advances in Modeling Earth Systems |
Online Access: | https://doi.org/10.1029/2019MS001937 |
Similar Items
-
Simulations for CMIP6 With the AWI Climate Model AWI‐CM‐1‐1
by: Tido Semmler, et al.
Published: (2020-09-01) -
Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: example of AWI-CM (AWI-CM-PDAF 1.0)
by: L. Nerger, et al.
Published: (2020-09-01) -
Sea Ice Targeted Geoengineering Can Delay Arctic Sea Ice Decline but not Global Warming
by: Lorenzo Zampieri, et al.
Published: (2019-12-01) -
Brief communication: The challenge and benefit of using sea ice concentration satellite data products with uncertainty estimates in summer sea ice data assimilation
by: Q. Yang, et al.
Published: (2016-04-01) -
Fast EVP Solutions in a High‐Resolution Sea Ice Model
by: Nikolay V. Koldunov, et al.
Published: (2019-05-01)