University of Tokyo, National Institute for Environmental Studies, and Japan Agency for Marine-Earth Science and Technology (MIROC) Version 5

Abbreviated Model Name:

MIROC5

Ensemble:

CMIP5

Experiments:

RCP 2.6

RCP 4.5

RCP 6

RCP 8.5

historical

Getting the Data

Data Access Link:

World Data Center for Climate CMIP5 Archive

Create an account here to download CMIP5 data. Instructions on how to search for and acquire the data are available here.

Data File Format:

.nc

Data Filename Convention:

clt_cfDay_MIROC5_historical_r1i1p1_19790101-19791231.nc

Data Filenames to Download:

MIM5r6MIXsnd111v120710 MIM5r6DADvas111v120710 MIM5r6DADuas111v120710 MIM5r6DADtas111v120710 MIM5r6DADtasmin111v120710 MIROCMIROC5r8MJIsnd111v111101 MIM5r8DADvas111v120710 MIM5r8DADuas111v120710 MIM5r8DADtas111v120710 MIM5r8DADtasmin111v120710 MIM5r8DADtasmax111v120710 MIM5r8DADpsl111v120710 MIM5r8DADpr111v120710 MIM5r8DADprsn111v120710 MIM5r8DADprc111v120710 MIROCMIROC5r4MJIsnd111v111101 MIM5r4DADvas111v120710 MIM5r4DADuas111v120710 MIM5r4DADtas111v120710 MIM5r4DADtasmin111v120710 MIM5r4DADtasmax111v120710 MIM5r4DADpsl111v120710 MIM5r6DADtasmax111v120710 MIM5r6DADpsl111v120710 MIM5r6DADpr111v120710 MIM5r6DADprsn111v120710 MIM5r6DADprc111v120710 MIROCMIROC5r2MJIsnd111v111101 MIM5r2DADvas111v120710 MIM5r2DADuas111v120710 MIM5r2DADtas111v120710 MIM5r2DADtasmin111v120710 MIM5r2DADtasmax111v120710 MIM5r2DADpsl111v120710 MIM5r2DADpr111v120710 MIM5r2DADprsn111v120710 MIM5r2DADprc111v120710 MIM5r4DADpr111v120710 MIM5r4DADprsn111v120710 MIM5r4DADprc111v120710 MIROCMIROC5hiXAHsftlf000v111101 MIROCMIROC5hiMJIsnd111v111101 MIM5hiDADvas111v120710 MIM5hiDADuas111v120710 MIM5hiDADtas111v120710 MIM5hiDADtasmin111v120710 MIM5hiDADtasmax111v120710 MIM5hiDADpsl111v120710 MIM5hiDADpr111v120710 MIM5hiDADprsn111v120710 MIM5hiDADprc111v120710 MIM5hiMAAts111v120710 MIM5hiMOOtos111v120112 MIM5hiMIXsic111v120710

Documentation

Model Documentation Link:

Model Description

Data Distribution Center (select model and experiment from table)

IPCC AR5 WG1 Chapter 9 Report (see Appendix 9A)

World Data Center for Climate (click magnifying glass in far right column for each experiment)

CMIP5 Variable Descriptions

CMIP5 Model Component Descriptions (ES-DOC)

CMIP5 Variable Descriptions (New Table)

Time and Space Information

Available Years of Data:

1976-2005

2006-2100

Length (years) of Files:

10 years

1 year

Spatial Coverage:

United States

Canada

Spatial Resolution (atmospheric):

T85 (~1.41 deg)

Model Components

Lake Treatment:

From this paper describing MIROC5:

MIROC5 adopts an updated version of the land surface model called Minimal Advanced Treatments of Surface Interaction and Runoff (MATSIRO; Takata et al. 2003), which predicts the temperature and water in six soil layers down to a 14-m depth, one canopy layer, and three snow layers. In this version of MATSIRO, a tile treatment of the land surface has been introduced to represent the subgrid fraction of land surface types. One land surface grid is divided into three tiles in the control run: potential vegetation, cropland, and lake. All the prognostic and diagnostic variables are calculated in each tile, and the fluxes at the land surface are averaged using their fractional weights. Other modifications from the previous version are briefly described below.

1) Lake submodel

We calculate the surface heat and water fluxes over lakes as one of the tiles in a grid. The water temperature and mass are predicted for the surface layer (minimum thickness of 1 m) and four subsurface layers, based on the thermal diffusion and mass conversion, considering vertical overturning, evaporation, precipitation, and inflow from and outflow to rivers. The distribution and fraction of lakes are fixed in time.

...The boundary conditions for the land module consist of the fractions of three tiles (potential vegetation, cropland, and lake), the distribution of potential vegetation, and the leaf area index (LAI). The historical land use change is given by the land use harmonization data (Hurtt et al. 2009), in which the cropland fraction is fixed at the value in 1850 for the control simulation. The lake fraction is based on the U.S. Geological Survey global land cover characterization dataset.

https://lta.cr.usgs.gov/GLCC