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EC-Earth3 SSP585 atmospheric forcing dataset for the Ice Algae Model Intercomparison Project phase 2 (IAMIP2) projection experiment v1.0

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Research Data Australia2024-12-14 收录
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https://researchdata.edu.au/ec-earth3-ssp585-experiment-v10/1696905
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This dataset provides the atmospheric forcing fields for conducting the projection experiment for the Ice Algae Model Intercomparison Project phase 2 (IAMIP2), which is a new model intercomparison effort focused on algae that are attached to sea ice. It is based on the output of CMIP6 EC-Earth3, experiment scenario ssp585 and the r1i1p1f1 ensemble member (EC-EARTH Consortium, 2019). This forcing dataset consists of near-surface atmospheric variables simulated by EC-Earth3 under the CMIP6 SSP585 scenario over 2015-2100. The dataset is interpolated to the JRA55-do v1.4 grid (Tsujino, H. and al., 2018), to make it easy for using it in ocean and sea-ice models.  This dataset is a global product of 0.5-degree resolution near-surface atmospheric variables over the period 2015-2100. The variables included in the dataset are: tas - surface air temperature vas - surface northward wind  uas - surface eastward wind  huss - surface specific humidity licalvf - land ice calving flux psl - sea level pressure rsds - surface downwelling shortwave radiation flux rlds -surface downwelling longwave radiation flux friver - water flux into sea water from rivers  prra - rainfall flux prsn - snowfall flux The code to interpolate JRA55-do v1.4 is available from github and published on zenodo (Hayashida, H., 2021). In particular:- `cdo -remapnn` was used for the river runoff into sea water (friver) variable and `cdo -remapcon` for all others. - rainfall flux (prra), which is not available from EC-Earth3, was derived from snowfall flux (prsn) and total precipitation (pr) summing rainfall and snowfall flux.- the land ice calving flux (licalvf) is not available from EC-Earth3 so the original JRA55-do v1.4.0 values were prescribed for it. This dataset was created by Dr Hakase Hayashida as part of the Centre of Excellence for Climate Extremes (CLEX) Climate variability and teleconnections research program.References:Hakase Hayashida, 2021. Code for interpolating the EC-Earth3 SSP585 atmospheric output to the JRA55-do grid for IAMIP2. doi:10.5281/zenodo.4643843 EC-Earth Consortium (EC-Earth) (2019). EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 ScenarioMIP ssp585. Version v20200310. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4912 Tsujino, Hiroyuki; Urakawa, Shogo; Nakano, Hideyuki; Small, R. Justin; Kim, Who M.; Yeager, Stephen G.; Danabasoglu, Gokhan; Suzuki, Tatsuo; Bamber, Jonathan L; Bentsen, Mats; Boening, Claus; Bozec, Alexandra; Chassignet, Eric; Curchitser, Enrique; Dias, Fabio Boeira; Durack, Paul J.; Griffies, Stephen M.; Harada, Yayoi; Ilicak, Mehmet; Josey, Simon; Kobayashi, Chiaki; Kobayashi, Shinya; Komuro, Yoshiki; Large, William G.; Le Sommer, Julien; Marsland, Simon; Masina, Simona; Scheinert, Markus; Tomita, Hiroyuki; Valdivieso, Maria; Yamazaki, Dai (2018).input4MIPs.CMIP6.OMIP.MRI. Version 1.4.0 .Earth System Grid Federation. https://doi.org/10.22033/ESGF/input4MIPs.10460
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