التفاصيل البيبلوغرافية
| العنوان: |
Arctic Ocean dynamical downscaling data (historical) for understanding past and future climate change |
| المؤلفون: |
Qi Shu, Qiang Wang, Zhenya Song, Gui Gao, Hailong Liu, Shizhu Wang, Yan He, Fangli Qiao |
| بيانات النشر: |
Science Data Bank |
| سنة النشر: |
2024 |
| مصطلحات موضوعية: |
Arctic Ocean, dynamical downscaling, climate change, climate models, sea ice, ice-ocean model, SSP245, SSP585, CMIP6, FIO-ESM, FESOM |
| الوصف: |
The Arctic is one of Earth’s regions most susceptible to climate change. However, the in-situ long-term observations used for climate research are relatively sparse in the Arctic Ocean, and the simulations from current climate models exhibit remarkable biases in the Arctic. Here we present an Arctic Ocean dynamical downscaling dataset based on a high-resolution ice-ocean coupled model FESOM and a climate model FIO-ESM. The dataset includes 115-year (1900–2014) historical simulations and two 86-year future scenario simulations (2015–2100) under scenarios SSP245 and SSP585. The historical results demonstrate that the root mean square errors of temperature and salinity in the dynamical downscaling dataset are much smaller than those from CMIP6 (the Coupled Model Intercomparison Project phase 6) climate models. The common biases, such as the too deep and too thick Atlantic layer in climate models, are reduced significantly by dynamical downscaling. This dataset serves as a crucial long-term data source for climate change assessments and scientific research in the Arctic Ocean, providing valuable information for the scientific community. |
| نوع الوثيقة: |
dataset |
| اللغة: |
English |
| DOI: |
10.57760/sciencedb.16206 |
| الإتاحة: |
https://doi.org/10.57760/sciencedb.16206Test |
| حقوق: |
PUBLIC ; https://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: |
edsbas.D721C8C6 |
| قاعدة البيانات: |
BASE |
