Guidelines for NICAM AMIP-type simulation data users

25 May 2020

1. The uses are requested to send us the information when you consider publications orpresentations using the NICAM simulation data.
2. The users are requested to include the following information in their publications orpresentations.
Acknowledgement:“All the runs were performed on the K computer at the RIKEN Advanced Institute for
Computational Science (Proposal number hp120279, hp130010 and hp140219). This
study is supported by Strategic Programs for Innovative Research (SPIRE) Field 3(Projection of Planet Earth Variations for Mitigating Natural Disasters), which ispromoted by the Ministry of Education, Culture, Sports, Science and Technology(MEXT), Japan."
Reference:
Kodama et al., 2015, A 20-year climatology of a NICAM AMIP-type simulation, J. Meteor.
Soc. Japan, 93(4), 393-424, doi:10.2151/jmsj.2015-024.
Satoh et al., 2015, Constraint on future change in global frequency of tropical cyclones
due to global warming. J. Meteorol. Soc. Japan, 93, 489-500, doi:10.2151/jmsj.2015-025.
Reference information is given on NICAM web (http://nicam.jp/hiki/?NICAM+Papers)
3. Any feedbacks to the NICAM team members regarding the dataset, science discussion,and suggestions are greatly appreciated.
4. Please consider adding your contact person(s) to co-authors when you feel it appropriate
to do so.
5. Pleasecheck

http://nicam.jp/hiki/?Research+Collaborations

forTERMS

andCONDITIONS and Guideline for data users.
6. Please first contact the dataset contact persons if you want to use the following dataset.
Dataset contact persons:
Masaki Satoh satoh@aori.u-tokyo.ac.jp (Project leader)
Chihiro Kodama kodama@jamstec.go.jp (Experiment leader)Information of data set

1. General information
1.1 NICAM•NICAM.12 (2012’s version)•Tomita and Satoh [2004]; Satoh et al. [2008,2014]

Table: model description
Cloud microphysics

NICAM Single-moment Water 6 Tomita (2008)(NSW6) with TOA radiation tuning

Cumulus

Not usedconvection
Radiation

mstrnX

Sekiguchi

andNakajima (2008)
Turbulence

Mellor-Yamada

Nakanishi-Niino Nakanishi(MYNN2)andNiino (2006); Noda
et al. (2010)

Gravity wave

Not used

Land surface

Minimal Advanced Treatments of Takata et al. (2003)
Surface Interaction and RunOff(MATSIRO)

Surface flux (ocean)

Bulk surface fluxLouis(1979);

surfaceroughness

following Moon etal.

(2007)

andFairall et al. (2003)
Ocean model

Single layer slab ocean with SST

τ and D suggested

nudging (τ=7 days and D=15m) and by
fixed sea ice fraction

1.2 Experimental design•Kodama et al. (2015)•runs[2006]

Grabowski••o

CNTL run: 1978.06-2009.12 (spin-up: 1978.06-12)o

FUTURE run: 2074.06-2105.12 (A1B scenario) (spin-up: 2074.06-12)

resolutionso

14km horizontal mesho

38 vertical levels up to 40km

osponge layer above 20km

SST/ICE (including interannual variability)oCNTL: monthly mean AMIP2 SST including interannual variability(1°×1°)o

FUTURE: CMIP3 model ensemble dSST = SST(2075-2099) –SST(1979-2003) including trend is added to AMIP2 SST. For sea ice,areal change is considered following Mizuta et al. [2008].

••

minor constituents (including interannual variability)oCO2, N2O, CH4, CFC11, CFC12: globally uniform

oO3: output from MRI-CTM AMIP run (with 5-year smoothing)no aerosol, no solar cycle

2. Datasets•All the data files except for monthly means are compiled with NetCDF
format. Monthly-mean data are compiled with 4-byte big-endian flat binary.

•For use in GrADS, control files are prepared. You can open them by“xdfopen” (NetCDF) or “open” (flat binary).

•Convention of the directory name: {h-info}.{v-info}.{t-info}oo{h-info}▪

02560x01280: 0.14°-mesh (semi-native grid)▪

00360x00181: 1°-mesh▪

00288x00145: 1.25°-mesh▪

00144x00072: 2.5°-mesh{v-info}▪

zorg: semi-native grid (38 layers in z, 1 layer at the surface etc)▪

p37: pressure coordinate in hPa (1000, 975, 950, 925, 900, 875,850, 825, 800, 775, 750, 700, 650, 600, 550, 500, 450, 400, 350,300, 250, 225, 200, 175, 150, 125, 100, 70, 50, 30, 20, 10, 7, 5, 3,2, 1)

▪

p26: pressure coordinate in hPa (1000, 975, 950, 925, 900, 850,800, 750, 700, 650, 600, 550, 500, 450, 400, 350, 300, 250, 200,150, 100, 70, 50, 30, 20, 10)oo{t-info}▪

torg: native output▪

mm: monthly-mean

Currently the following directories are available (bracket: approx.
data size per a run per 30 years for all the available variables):•

02560x01280.zorg.torg (192 TB)▪

00360x00181.zorg.torg (4.7 TB)▪

00360x00181.p26.torg (1.9 TB)▪

00288x00145.zorg.torg (3.1 TB)▪

00288x00145.p37.torg (1.6 TB)▪

00144x00072.zorg.torg (0.84 TB)▪

00144x00072.p37.torg (0.44 TB)▪

02560x01280.zorg.mm (2.8 TB)▪

00360x00181.zorg.mm (58 GB)▪

00360x00181.p26.mm (33 GB)▪

00288x00145.zorg.mm (37 GB)▪

00288x00145.p37.mm (31 GB)▪

00144x00072.zorg.mm (9.2 GB)▪

00144x00072.p37.mm (7.4 GB)▪

(Total: 208 TB per a run per 30 years)▪

See datasize.xlsx for detailed information on data size.

Convention of the variable name: {layer-type}{time-type}_{var-name}
oo

•

▪

{layer-type}▪

m: 3-D atmosphere▪

s: 2-D atmosphere▪

o: ocean▪

l: land{time-type}▪

s: snapshot▪

a: time-mean

Availability of the data depends on the variables, as shown in the following
tables as:oA: 1978.06.01- or 2074.06.01-.

o

B: 1986.07.27- or 2082.04.18-.

oC: 1989.07.19- or 2084.12.19-.

oD: 1991.03.27- or 2087.02.07-.

Table: List of variables for 3-D atmosphere with 6-hourly interval
var. namedescriptionunit

term

ms_dh

diabatic heating rate (cloud microphysics)

[K/s]

A

ms_lwhrlong wave heating rate

[K/s]

C

ms_prespressure

[Pa]

A

ms_qc

specific cloud water content[kg/kg]A

ms_qg

specific graupel content[kg/kg]A

ms_qi

specific cloud ice content[kg/kg]A

ms_qr

specific rain water content[kg/kg]A

ms_qs

specific snow content[kg/kg]A

ms_qv

specific humidity[kg/kg]A

ms_rh

relative humidity[]A

ms_swhrshort wave heating rate

[K/s]

C

ms_temtemperature

[K]

A

ms_u

zonal velocity

[m/s]

A

ms_v

meridional velocity

[m/s]

A

ms_w

vertical velocity

[m/s]

A

Table: List of variables for 2-D atmosphere with 6-hourly/1-hourly interval
var. namedescription

unit

int.

term

sa_albedo

albedo[0-1]

6C

sa_cld_fraccloud fraction

[0-1]

6A1D

6A

6A

6A6A6A

sa_evap_1h1D

ss_evap

6A

6A

sa_cld_frac_1hsa_cldicolumn integrated solid water (ice waterss_cldipath)

sa_cldw

column integrated liquid water (liquidss_cldw

water path)

sa_evap

evaporation rate

sa_evap_energy

N/A[kg/m^2][kg/m^2][kg/m^2/s]

N/A

sa_lh_sfc

6A

sa_lh_sfc_1h

1D

ss_lh_sfc

6A

6A

sa_lwd_sfc_1h1D

ss_lwd_sfc

6A6B

1D6B

6A

sa_lwu_sfc_1h1D

ss_lwu_sfc6A

6B

1D

6B

6A

sa_lwu_toa_1h1D

ss_lwu_toa1A

6A

1

D

6A

6A

sa_q2m_1h1

D

ss_q2m6A

ss_q2m_1h1

D6A

sa_sh_sfc_1h

1D

ss_sh_sfc

6A

6

A

sa_slp_1h1D

ss_slp6A

6A

sa_swd_sfc_1h

1D

ss_swd_sfc

6A

6

B

1

D

sa_lwd_sfc

surface latent heat flux

[W/m^2]surface downward long-wave radiation

sa_lwd_sfc_c

surface downward long-wave radiation

sa_lwd_sfc_c_1h(clear sky)[W/m^2][W/m^2]

ss_lwd_sfc_c
sa_lwu_sfc

surface upward long-wave radiation

sa_lwu_sfc_c

surface

upwardsa_lwu_sfc_c_1h(clear sky)long-wave

radiation[W/m^2][W/m^2]

ss_lwu_sfc_c
sa_lwu_toa

TOA upward long-wave radiation (OLR)

sa_lwu_toa_c

TOA

upwardsa_lwu_toa_c_1h(clear-sky)long-wave

radiation[W/m^2][W/m^2]

ss_lwu_toa_c
sa_q2msa_sh_sfc

sa_slpsa_swd_sfc

2 m water vapor mixing ratiosurface sensible heat flux

sea level pressure

surface downward short-wave radiation

sa_swd_sfc_c

surface downward short-wave radiation

sa_swd_sfc_c_1h(clear-sky)[kg/kg][W/m^2][Pa][W/m^2][W/m^2]

ss_swd_sfc_c

6

B

6

A

1

D

6A

6A

sa_swu_sfc_1h

1D

ss_swu_sfc

6A

6

B

1

D

6

B

6

A

sa_swu_toa_1h1D

ss_swu_toa

6

A

6

A

1

D

6

A

6

A

sa_t2m_1h1D

ss_t2m.ctl

6A

ss_t2m_1h1D

sa_swd_toa

TOA downward

sa_swd_toa_1h(insolation)short-wave radiation[W/m^2]

ss_swd_toa
sa_swu_sfc

surface upward short-wave radiation

sa_swu_sfc_c

surface

upwardsa_swu_sfc_c_1h(clear-sky)short-wave

radiation[W/m^2][W/m^2]

ss_swu_sfc_c
sa_swu_toa

TOA upward short-wave radiation (OSR)

sa_swu_toa_c

TOA

upwardsa_swu_toa_c_1h(clear-sky)short-wave

radiation[W/m^2][W/m^2]

ss_swu_toa_c
sa_t2m2 m temperature[K]

sa_tauusurface stress by zonal velocity[N/m^2]6C

sa_tauv

surface stress by meridional velocity[N/m^2]6C

sa_tem_atmmass

[K]

6

A

weightedcolumn

averagedtemperaturesa_tem_p80

Temperature at 80hPa

[K]

1

D

sa_tem_sfc

surface skin temperature

[K]

6

A

sa_tem_sfc_1h1D

ss_tem_sfc

6A

ss_tem_sfc_1h

1

D1

A

6

A

sa_tppnsurface precipitation rate[kg/m^2/s]

ss_tppnsa_tppn_energy

N/AN/A6A

sa_u10m

10 m zonal velocity

[m/s]

6A

sa_u10m_1h1D

ss_u10m

6

A

ss_u10m_1h1Dsa_u_p80

zonal wind at 80hPa

[m/s]

1

D

sa_v10m

10 m meridional velocity

[m/s]

6

A

sa_v10m_1h1D

ss_v10m

6

A

ss_v10m_1h1D

sa_v_p80

meridional wind at 80hPa

[m/s]

1

D

sa_vap_atm

precipitable water[kg/m^2]

6

A

sa_vap_atm_1h1D

ss_vap_atm

6A

ss_vap_atm_1h

1

D1

D

sa_w_p80.ctl

vertical velocity at 80 hPa[m/s]

Table: List of variables for 2-D ocean with daily interval
var. namedescription

unit

term

oa_aflx

heating by nudging process[W/m^2]A

oa_icesea ice mass

[kg/m^2]

A

oa_icrsea ice fraction

[0-1]

A

oa_istice skin temperature[K]A

oa_snwsnow over ice[kg/m^2]

A

oa_sstsea surface temperature[K]

A

Table: List of variables for land with daily interval
var. namedescription

unit

term

la_laileaf area index[]

Ala_rof

N/A

N/A

A

la_rofl

N/A

N/A

A

la_snw

N/A

N/A

A

la_tg

soil temperature (5 layers)[K]

A

la_wg

soil water (5 layers)

[0-1]

A

Table: List of variables for ISCCP simulator with 6-hourly interval
var. name
dfq_isccp2
ds_isccp2

description
cloud amount by the ISCCP simulator

unit
[0-1]

termAB