A Climate Simulation Dataset From 11 Overriding Experiments for Analysing Cloud and Air–Sea Feedbacks
ABSTRACT Under global warming, cloud change and its radiative feedback have often been considered to evolve from thermodynamic processes; however, cloud feedback may also force sea surface temperature to trigger such air–sea interactions. Due to complex cloud physics in air–sea coupling, this contri...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | Geoscience Data Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/gdj3.286 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832584962326396928 |
|---|---|
| author | Xiao Guo Biao Feng Zhiying Zhao Jian Ma |
| author_facet | Xiao Guo Biao Feng Zhiying Zhao Jian Ma |
| author_sort | Xiao Guo |
| collection | DOAJ |
| description | ABSTRACT Under global warming, cloud change and its radiative feedback have often been considered to evolve from thermodynamic processes; however, cloud feedback may also force sea surface temperature to trigger such air–sea interactions. Due to complex cloud physics in air–sea coupling, this contributes to the surface warming pattern formation with significant uncertainty. Here we develop a novel overriding technique for climate projections that substitutes specific variables in control runs to isolate such feedback mechanisms, decoupling thermodynamic, dynamical and radiative responses of the surface ocean to the atmosphere. We apply this to the Community Earth System Model version 2 (CESM2) and perform a series of 150‐year simulations with 1% CO2 increase per year (1pctCO2). In real time, the key variables under 1pctCO2 are replaced with those from the current climate, such as downwelling shortwave radiation, wind speed in latent and sensible heat and wind stress. These experiments provide monthly output of global distributions including surface temperatures, winds and precipitation, with a spatial resolution of 1.9° × 2.5° in latitude and longitude and 32 levels for the atmosphere and of ~1° and 60 layers designated as gx1v7 for the ocean. This open access dataset for partial air–sea coupling under climate change can help understand the tropical and polar warming patterns and quantify the relative contributions of forcing and triggering mechanisms. |
| format | Article |
| id | doaj-art-e0352ae5728c4913a2b696e0e65087b1 |
| institution | Kabale University |
| issn | 2049-6060 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geoscience Data Journal |
| spelling | doaj-art-e0352ae5728c4913a2b696e0e65087b12025-01-27T08:26:33ZengWileyGeoscience Data Journal2049-60602025-01-01121n/an/a10.1002/gdj3.286A Climate Simulation Dataset From 11 Overriding Experiments for Analysing Cloud and Air–Sea FeedbacksXiao Guo0Biao Feng1Zhiying Zhao2Jian Ma3School of Oceanography Shanghai Jiao Tong University Shanghai ChinaSchool of Oceanography Shanghai Jiao Tong University Shanghai ChinaSchool of Oceanography Shanghai Jiao Tong University Shanghai ChinaSchool of Oceanography Shanghai Jiao Tong University Shanghai ChinaABSTRACT Under global warming, cloud change and its radiative feedback have often been considered to evolve from thermodynamic processes; however, cloud feedback may also force sea surface temperature to trigger such air–sea interactions. Due to complex cloud physics in air–sea coupling, this contributes to the surface warming pattern formation with significant uncertainty. Here we develop a novel overriding technique for climate projections that substitutes specific variables in control runs to isolate such feedback mechanisms, decoupling thermodynamic, dynamical and radiative responses of the surface ocean to the atmosphere. We apply this to the Community Earth System Model version 2 (CESM2) and perform a series of 150‐year simulations with 1% CO2 increase per year (1pctCO2). In real time, the key variables under 1pctCO2 are replaced with those from the current climate, such as downwelling shortwave radiation, wind speed in latent and sensible heat and wind stress. These experiments provide monthly output of global distributions including surface temperatures, winds and precipitation, with a spatial resolution of 1.9° × 2.5° in latitude and longitude and 32 levels for the atmosphere and of ~1° and 60 layers designated as gx1v7 for the ocean. This open access dataset for partial air–sea coupling under climate change can help understand the tropical and polar warming patterns and quantify the relative contributions of forcing and triggering mechanisms.https://doi.org/10.1002/gdj3.286air–sea interactionclimate simulationcloud feedbackglobal warmingoverriding experiment |
| spellingShingle | Xiao Guo Biao Feng Zhiying Zhao Jian Ma A Climate Simulation Dataset From 11 Overriding Experiments for Analysing Cloud and Air–Sea Feedbacks Geoscience Data Journal air–sea interaction climate simulation cloud feedback global warming overriding experiment |
| title | A Climate Simulation Dataset From 11 Overriding Experiments for Analysing Cloud and Air–Sea Feedbacks |
| title_full | A Climate Simulation Dataset From 11 Overriding Experiments for Analysing Cloud and Air–Sea Feedbacks |
| title_fullStr | A Climate Simulation Dataset From 11 Overriding Experiments for Analysing Cloud and Air–Sea Feedbacks |
| title_full_unstemmed | A Climate Simulation Dataset From 11 Overriding Experiments for Analysing Cloud and Air–Sea Feedbacks |
| title_short | A Climate Simulation Dataset From 11 Overriding Experiments for Analysing Cloud and Air–Sea Feedbacks |
| title_sort | climate simulation dataset from 11 overriding experiments for analysing cloud and air sea feedbacks |
| topic | air–sea interaction climate simulation cloud feedback global warming overriding experiment |
| url | https://doi.org/10.1002/gdj3.286 |
| work_keys_str_mv | AT xiaoguo aclimatesimulationdatasetfrom11overridingexperimentsforanalysingcloudandairseafeedbacks AT biaofeng aclimatesimulationdatasetfrom11overridingexperimentsforanalysingcloudandairseafeedbacks AT zhiyingzhao aclimatesimulationdatasetfrom11overridingexperimentsforanalysingcloudandairseafeedbacks AT jianma aclimatesimulationdatasetfrom11overridingexperimentsforanalysingcloudandairseafeedbacks AT xiaoguo climatesimulationdatasetfrom11overridingexperimentsforanalysingcloudandairseafeedbacks AT biaofeng climatesimulationdatasetfrom11overridingexperimentsforanalysingcloudandairseafeedbacks AT zhiyingzhao climatesimulationdatasetfrom11overridingexperimentsforanalysingcloudandairseafeedbacks AT jianma climatesimulationdatasetfrom11overridingexperimentsforanalysingcloudandairseafeedbacks |