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wdc-climate.de:3970252 eng; USA collection ModE-Sim_s14203 Dr. Ralf Hand University of Bern not filled pointOfContact Prof. Dr. Stefan Brönnimann University of Bern not filled pointOfContact 2023-03-02T14:54:29 ISO 19115 ISO 19115-2:2009 ModE-Sim - A medium size AGCM ensemble to study climate variability during the modern era (1420 to 2009): Set 1420-3 2023-04-12 publication 1 ModE-Sim_s14203 doi:10.26050/WDCC/ModE-Sim_s14203 Dr. Ralf Hand University of Bern not filled Email: ralf.hand@giub.unibe.ch principalInvestigator Dr. Ralf Hand University of Bern not filled Email: ralf.hand@giub.unibe.ch author Prof. Dr. Stefan Brönnimann University of Bern not filled Email: stefan.broennimann@giub.unibe.ch author Dr. Eric Samakinwa University of Bern not filled Email: eric.samakinwa@giub.unibe.ch author Laura Lipfert University of Bern not filled Email: laura.hoevel@giub.unibe.ch author WDC Climate at DKRZ publisher ModE-Sim (short for Modern Era Simulations) is a medium-size ensemble of model simulations using the ECHAM6 atmosphere general circulation model (model version 6.3.5p2, doi:10.17617/2.1810480). Its setup is based on the PMIP4 experiments, but uses a forced AGCM rather than a fully coupled model. ModE-Sim was originally designed to form the a-priori state for a climate reconstruction (Modern Era Reanalysis, ModE-RA, to be found as separate experiment within this WDC project) that uses an offline data assimilation technique to combine the output of ModE-Sim with historical climate information. However, beyond its original purpose ModE-Sim on its own can be used as a tool to study climate variability, providing a high number of posible climate states that are physically plausible under the given forcings and boundary conditions. This might include, e.g. the separation of internal variability from the response to externally forced signals, understanding of teleconnection patterns, or the study of extreme events. The ensemble uses observed/reconstructed forcings and boundary conditions, while accounting in uncertainties in these. For 1420 to 1850 we provide a 60 member ensemble grouped in three subsets. The subset 1420-3 provided in this dataset group has 20 members and uses PMIP4 radiative forcings. As ocean boundary condition 20 different realizations of SST reconstructions were used and for sea ice a climatology was computed from the years 1850-1900 from HadISST2 sea ice. Dr. Ralf Hand University of Bern not filled pointOfContact Prof. Dr. Stefan Brönnimann University of Bern not filled pointOfContact NetCDF ECHAM6 ECHAM6-3-LR ECHAM6.3 atmospheric model climate simulation ensemble runs forcing dataset historical run large ensemble model data model-output volcanic forcing CC-BY-4.0: Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ eng; USA -180.0 180.0 -90.0 90.0 gregorian 1420-01-01 1849-12-31 info:eu-repo/grantAgreement/EC/H2020/787574/BE//PA Palaeoreanalysis To Understand Decadal Climate Variability (PALAEO-RA) air_temperature-at2m Air temperature is the bulk temperature of the air, not the surface (skin) temperature. [CF-Standard Name-vertical_coordinate]; unit: K lagrangian_tendency_of_air_pressure-at500hPa "tendency_of_X" means derivative of X with respect to time. The Lagrangian tendency of a quantity is its rate of change following the motion of the fluid, also called the "material derivative" or "convective derivative". The Lagrangian tendency of air pressure, often called "omega", plays the role of the upward component of air velocity when air pressure is being used as the vertical coordinate. If the vertical air velocity is upwards, it is negative when expressed as a tendency of air pressure; downwards is positive.[CF-Standard Name-vertical_coordinate]; unit: Pa s-1 precipitation_flux In accordance with common usage in geophysical disciplines, "flux" implies per unit area, called "flux density" in physics. [CF-Standard Name]; unit: kg m-2 s-1 northward_wind-at850hPa "Northward" indicates a vector component which is positive when directed northward (negative southward). Wind is defined as a two-dimensional (horizontal) air velocity vector, with no vertical component. (Vertical motion in the atmosphere has the standard name upward_air_velocity.) [CF-Standard Name-vertical_coordinate]; unit: m s-1 geopotential_height-at500hPa Geopotential is the sum of the specific gravitational potential energy relative to the geoid and the specific centripetal potential energy. Geopotential height is the geopotential divided by the standard acceleration due to gravity. It is numerically similar to the altitude (or geometric height) and not to the quantity with standard name height, which is relative to the surface. [CF-Standard Name-vertical_coordinate]; unit: m sea_surface_temperature Sea surface temperature is usually abbreviated as "SST". It is the temperature of sea water near the surface (including the part under sea-ice, if any), and not the skin temperature, whose standard name is surface_temperature. For the temperature of sea water at a particular depth or layer, a data variable of sea_water_temperature with a vertical coordinate axis should be used. [CF-Standard Name]; unit: K eastward_wind-at850hPa "Eastward" indicates a vector component which is positive when directed eastward (negative westward). Wind is defined as a two-dimensional (horizontal) air velocity vector, with no vertical component. (Vertical motion in the atmosphere has the standard name upward_air_velocity.) [CF-Standard Name-vertical_coordinate]; unit: m s-1 air_pressure_at_mean_sea_level Air pressure at sea level is the quantity often abbreviated as MSLP or PMSL. Air pressure is the force per unit area which would be exerted when the moving gas molecules of which the air is composed strike a theoretical surface of any orientation. "Mean sea level" means the time mean of sea surface elevation at a given location over an arbitrary period sufficient to eliminate the tidal signals. [CF-Standard Name]; unit: Pa NetCDF 72243 https://www.wdc-climate.de/ui/entry?acronym=ModE-Sim_s14203 information collection