DeepMIP: The Deep-time Model Intercomparison Project

<p>The early Eocene is a warm period with a very high atmosphere CO<sub>2</sub> level in the Cenozoic. It &#160;provides a good reference for our future climate under the Representative Concentration Pathway 8.5 scenario. Therefore, the early Eocene climate has received many attentions in &#160;modeling&#160;studies, for example, the Deep-Time Model Intercomparison Project (DeepMIP). However, the early Eocene palaeogeographic conditions show remarkable contrasts to the present conditions. Meanwhile, there are a few different reconstructions for the early Eocene palaeogeography, which may cause further model spreads in simulating the early Eocene warm climate. Here, we present a series of experiments carried out with the NorESM1-F, under the framework of DeepMIP. In these experiments, we consider three different palaeogeographic reconstructions for the&#160;early Eocene. We also&#160;compare&#160;our simulations with climate proxy records, to validate which palaeogeographic reconstructions can reproduce simulations that agree better with the climate proxy records.</p>

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Arctic Ocean Model Intercomparison Project (AOMIP): Travel Support for Workshops

10.21236/ada542610 ◽

2010 ◽

Author(s):

Michael Steele

Keyword(s):

Arctic Ocean ◽

Ocean Model ◽

Model Intercomparison ◽

Intercomparison Project

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CAS FGOALS-f3-L Large-ensemble Simulations for the CMIP6 Polar Amplification Model Intercomparison Project

Advances in Atmospheric Sciences ◽

10.1007/s00376-021-0343-4 ◽

2021 ◽

Author(s):

Bian He ◽

Xiaoqi Zhang ◽

Anmin Duan ◽

Qing Bao ◽

Yimin Liu ◽

...

Keyword(s):

Time Lag ◽

The Arctic ◽

Global Ocean ◽

Arctic Amplification ◽

Model Intercomparison ◽

Large Ensemble ◽

Sea Ice Concentration ◽

Ensemble Simulations ◽

Polar Amplification ◽

Intercomparison Project

AbstractLarge-ensemble simulations of the atmosphere-only time-slice experiments for the Polar Amplification Model Intercomparison Project (PAMIP) were carried out by the model group of the Chinese Academy of Sciences (CAS) Flexible Global Ocean-Atmosphere-Land System (FGOALS-f3-L). Eight groups of experiments forced by different combinations of the sea surface temperature (SST) and sea ice concentration (SIC) for pre-industrial, present-day, and future conditions were performed and published. The time-lag method was used to generate the 100 ensemble members, with each member integrating from 1 April 2000 to 30 June 2001 and the first two months as the spin-up period. The basic model responses of the surface air temperature (SAT) and precipitation were documented. The results indicate that Arctic amplification is mainly caused by Arctic SIC forcing changes. The SAT responses to the Arctic SIC decrease alone show an obvious increase over high latitudes, which is similar to the results from the combined forcing of SST and SIC. However, the change in global precipitation is dominated by the changes in the global SST rather than SIC, partly because tropical precipitation is mainly driven by local SST changes. The uncertainty of the model responses was also investigated through the analysis of the large-ensemble members. The relative roles of SST and SIC, together with their combined influence on Arctic amplification, are also discussed. All of these model datasets will contribute to PAMIP multi-model analysis and improve the understanding of polar amplification.

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Future Changes in Simulated Evapotranspiration across Continental Africa Based on CMIP6 CNRM-CM6

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18136760 ◽

2021 ◽

Vol 18 (13) ◽

pp. 6760

Author(s):

Isaac Kwesi Nooni ◽

Daniel Fiifi T. Hagan ◽

Guojie Wang ◽

Waheed Ullah ◽

Jiao Lu ◽

...

Keyword(s):

Extreme Events ◽

Coupled Model ◽

Baseline Period ◽

Model Intercomparison ◽

Additional Information ◽

Intercomparison Project ◽

Key Drivers ◽

Model Ensembles ◽

Projected Changes ◽

Near Future

The main goal of this study was to assess the interannual variations and spatial patterns of projected changes in simulated evapotranspiration (ET) in the 21st century over continental Africa based on the latest Shared Socioeconomic Pathways and the Representative Concentration Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) provided by the France Centre National de Recherches Météorologiques (CNRM-CM) model in the Sixth Phase of Coupled Model Intercomparison Project (CMIP6) framework. The projected spatial and temporal changes were computed for three time slices: 2020–2039 (near future), 2040–2069 (mid-century), and 2080–2099 (end-of-the-century), relative to the baseline period (1995–2014). The results show that the spatial pattern of the projected ET was not uniform and varied across the climate region and under the SSP-RCPs scenarios. Although the trends varied, they were statistically significant for all SSP-RCPs. The SSP5-8.5 and SSP3-7.0 projected higher ET seasonality than SSP1-2.6 and SSP2-4.5. In general, we suggest the need for modelers and forecasters to pay more attention to changes in the simulated ET and their impact on extreme events. The findings provide useful information for water resources managers to develop specific measures to mitigate extreme events in the regions most affected by possible changes in the region’s climate. However, readers are advised to treat the results with caution as they are based on a single GCM model. Further research on multi-model ensembles (as more models’ outputs become available) and possible key drivers may provide additional information on CMIP6 ET projections in the region.

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CAS-LSM Datasets for the CMIP6 Land Surface Snow and Soil Moisture Model Intercomparison Project

Advances in Atmospheric Sciences ◽

10.1007/s00376-021-0293-x ◽

2021 ◽

Author(s):

Binghao Jia ◽

Longhuan Wang ◽

Yan Wang ◽

Ruichao Li ◽

Xin Luo ◽

...

Keyword(s):

Soil Moisture ◽

Land Surface ◽

Grid Point ◽

Global Ocean ◽

Surface Model ◽

Past Century ◽

Model Intercomparison ◽

Soil Moisture Model ◽

Surface Snow ◽

Intercomparison Project

AbstractThe datasets of the five Land-offline Model Intercomparison Project (LMIP) experiments using the Chinese Academy of Sciences Land Surface Model (CAS-LSM) of CAS Flexible Global-Ocean-Atmosphere-Land System Model Grid-point version 3 (CAS FGOALS-g3) are presented in this study. These experiments were forced by five global meteorological forcing datasets, which contributed to the framework of the Land Surface Snow and Soil Moisture Model Intercomparison Project (LS3MIP) of CMIP6. These datasets have been released on the Earth System Grid Federation node. In this paper, the basic descriptions of the CAS-LSM and the five LMIP experiments are shown. The performance of the soil moisture, snow, and land-atmosphere energy fluxes was preliminarily validated using satellite-based observations. Results show that their mean states, spatial patterns, and seasonal variations can be reproduced well by the five LMIP simulations. It suggests that these datasets can be used to investigate the evolutionary mechanisms of the global water and energy cycles during the past century.

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The role of renewables in the Japanese power sector: implications from the EMF35 JMIP

Sustainability Science ◽

10.1007/s11625-021-00917-y ◽

2021 ◽

Vol 16 (2) ◽

pp. 375-392 ◽

Cited By ~ 9

Author(s):

Hiroto Shiraki ◽

Masahiro Sugiyama ◽

Yuhji Matsuo ◽

Ryoichi Komiyama ◽

Shinichiro Fujimori ◽

...

Keyword(s):

Emission Reduction ◽

Nuclear Power ◽

Renewable Energies ◽

Model Intercomparison ◽

Power Sector ◽

Capital Costs ◽

Free Hydrogen ◽

Intercomparison Project ◽

Policy Cost

AbstractThe Japanese power system has unique characteristics with regard to variable renewable energies (VREs), such as higher costs, lower potentials, and less flexibility with the grid connection compared to other major greenhouse-gas-emitting countries. We analyzed the role of renewable energies (REs) in the future Japanese power sector using the results from the model intercomparison project Energy Modeling Forum (EMF) 35 Japan Model Intercomparison Project (JMIP) using varying emission reduction targets and key technological conditions across scenarios. We considered the uncertainties for future capital costs of solar photovoltaics, wind turbines, and batteries in addition to the availability of nuclear and carbon dioxide capture and storage. The results show that REs supply more than 40% of electricity in most of the technology sensitivity scenarios (median 51.0%) when assuming an 80% emission reduction in 2050. The results (excluding scenarios that assume the continuous growth of nuclear power and/or the abundant availability of domestic biomass and carbon-free hydrogen) show that the median VRE shares reach 52.2% in 2050 in the 80% emission reduction scenario. On the contrary, the availability of newly constructed nuclear power, affordable biomass, and carbon-free hydrogen can reduce dependence on VREs to less than 20%. The policy costs were much more sensitive to the capital costs and resource potential of VREs than the battery cost uncertainties. Specifically, while the doubled capital costs of VRE resulted in a 13.0% (inter-model median) increase in the policy cost, the halved capital costs of VREs reduced 8.7% (inter-model median) of the total policy cost. These results imply that lowering the capital costs of VREs would be effective in achieving a long-term emission reduction target considering the current high Japanese VRE costs.

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