Back to variable_groups | Category Index
These are non-exclusive grouping of CMIP variables (e.g. monthly time slices of the baseline variables). Variables can belong to more than one group.
| Attribute | Value |
|---|---|
| justification | The proposed set of monthly variables are considered high priority for DAMIP to assess changes in the climate system and the role of forcings in driving those changes. - Basic fields for assessing global mean temperature, hydrological, sea level, and circulation changes: tas, ts, tos, pr, ps, prsn, psl, mrsos, mrros, tauu, tauv, evspsbl, mrro, uas, vas, huss, hurs, ta, ua, va, wap, zos, zostoga, siconc, siconca, sithick, snw, sfcWind - Fluxes for diagnosing surface and top of atmosphere energy balances: hfls, hflss, rlds, rlus, rsds, rsus, rsdt, rsut, rtmt - Quantities for understanding the role of clouds: rsdsc, rsusc, clt, clwvi, clivi - Quantities for diagnosing the change in ocean circulation e.g., examples of the use of DAMIP in analyzing ocean circulation behavior is Menary et al (2020) 10.1029/2020GL088166 and Simpson et al (2023) 10.1175/JCLI-D-22-0666.s1 : hfbasin, msftmrho, msftmz, so, thetao, uo, vo - Quantities for understanding differences in co2 concentrations from emissions driven simulations: co2, fgco2, nbp - Quantities for diagnosing the various forcings that the climate system is being influenced by: loadso4, abs550aer, abs550bc, abs550so4, od550aer, od550soa, od550dust, od550volso4, o3ste, tropo3ste - Zonal mean atmospheric temperature at high vertical resolution (AERmonZ.ta) but 3D would also work. There's a desire to have atmospheric temperature with higher vertical resolution at upper levels to better capturing stratospheric satellite weighting functions. |
| name | DAMIP_monthly |
| title | Monthly variables of high priority for DAMIP |