CReSS Daily Simulation (around Japan 2km mesh)

The Laboratory of Meteorology, Institute for Space-Earth Environmental Research, Nagoya University, has been performing daily high-resolution weather simulations using the cloud resolving storm model CReSS (Cloud Resolving Storm Simulator). To demonstrate how well the current model can simulate real-world weather, the results of the simulations are mainly intended for experts. This dataset is the original data from that simulation, shown on the Web page "CReSS Daily Simulation".

The area of calcuration is about 2300km by 2800km, surrounding Japan, with about 2km grid size. The map projection method is the Lambert Conformal Conic.

The actual simulations are performed prior to the actual time, but due to the limitations of the Meteorological Service Act, only results prior to the current time are made available to the public.

If you wish to use this data to conduct weather forecasting services in Japan, you must follow the appropriate procedures in accordance with the Meteorological Service Act. Please contact the Japan Meteorological Agency for more information on the law.

The simulations are calculated once a day for up to 36 hours ahead.
This dataset contains the following 17 three dimensional variables and 30 two dimensional variables, the former being output every three hours and the latter every hour.

3D Variables:

u : x components of velocity [m/s]
v : y components of velocity [m/s]
w : z components of velocity [m/s]
p : pressure [Pa]
pt : potential temperature [K]
qv : water vapor mixing ratio [kg/kg]
qc : cloud water mixing ratio [kg/kg]
qr : rain water mixing ratio [kg/kg]
qi : cloud ice mixing ratio [kg/kg]
qs : snow mixing ratio [kg/kg]
qg : graupel mixing ratio [kg/kg]
nci : cloud ice concentrations [1/kg]
ncs : snow concentrations [1/kg]
ncg : graupel concentrations [1/kg]
qt : tracer mixing ratio
tke : turbulent kinetic energy [J/kg]
zph : z physical coordinates [m]

2D variables:

us : x components of velocity at an altitude of 10m [m/s]
vs : y components of velocity at an altitude of 10m [m/s]
ps : pressure at an altitude of 1.5m [Pa]
pts : potential temperature at an altitude of 1.5m [K]
qvs : water vapor mixing ratio at an altitude of 1.5m [kg/kg]
tgs : soil and sea surface temperature [K]
hs : sensible heat over surface [W/m^2]
le : latent heat over surface [W/m^2]
rgd : global solar radiation [W/m^2]
rsd : net downward short wave radiation [W/m^2]
rld : downward long wave radiation [W/m^2]
rlu : upward long wave radiation [W/m^2]
cdl : cloud cover in lower layer
cdm : cloud cover in middle layer
cdh : cloud cover in upper layer
cdave : averaged cloud cover
usflx : surface momentum flux for x components of velocity [N/m^2]
vsflx : surface momentum flux for y components of velocity [N/m^2]
ptsflx : surface heat flux [(kg K)/(m^2 s)]
qvsflx : surface moisture flux [kg/(m^2 s)]
pcr : cloud water fall rate [m/s]
pca : accumulated cloud water fall [m]
prr : rain fall rate [m/s]
pra : accumulated rain fall [m]
pir : cloud ice fall rate [m/s]
pia : accumulated cloud ice fall [m]
psr : snow fall rate [m/s]
psa : accumulated snow fall [m]
pgr : graupel fall rate [m/s]
pga : accumulated graupel fall [m]

日本名古屋大学空间地球环境研究所气象实验室，长期采用云解析风暴模型CReSS（云解析风暴模拟器）进行每日高分辨率天气模拟。为展示当前模型模拟现实天气的能力，模拟结果主要面向专业人士。本数据集为该模拟的原始数据，可在网页“CReSS每日模拟”上查阅。计算区域约为2300公里×2800公里，环绕日本，网格尺寸约为2公里。地图投影方法为兰伯特圆锥投影。实际模拟在真实时间之前进行，但受《气象业务法》限制，仅提供至当前时间的结果供公众获取。若拟在日本使用此数据提供天气预报服务，必须遵循《气象业务法》的相关程序。请联系日本气象厅以获取更多法律信息。模拟每日计算一次，预测时间可达36小时。本数据集包含17个三维变量和30个二维变量，三维变量每三小时输出一次，二维变量每小时输出一次。

三维变量包括：

u：速度的x分量 [m/s]
v：速度的y分量 [m/s]
w：速度的z分量 [m/s]
p：压力 [Pa]
pt：位温 [K]
qv：水汽混合比 [kg/kg]
cq：云水混合比 [kg/kg]
cr：雨水分量混合比 [kg/kg]
ci：云冰混合比 [kg/kg]
cs：雪混合比 [kg/kg]
cg：霰混合比 [kg/kg]
nci：云冰浓度 [1/kg]
cs：雪浓度 [1/kg]
cg：霰浓度 [1/kg]
qt：示踪剂混合比
tke：湍流动能 [J/kg]
zph：物理坐标z [m]

二维变量包括：

us：10米高度处的x分量速度 [m/s]
vs：10米高度处的y分量速度 [m/s]
ps：1.5米高度处的压力 [Pa]
pts：1.5米高度处的位温 [K]
qvs：1.5米高度处的水汽混合比 [kg/kg]
tgs：土壤和海表面温度 [K]
hs：地表感热 [W/m^2]
le：地表潜热 [W/m^2]
rgd：全球太阳辐射 [W/m^2]
rsd：净向下短波辐射 [W/m^2]
rld：向下长波辐射 [W/m^2]
rlu：向上长波辐射 [W/m^2]
cdl：下层云量
ncm：中层云量
ndh：上层云量
ncave：平均云量
usflx：地表动量通量x分量 [N/m^2]
vsflx：地表动量通量y分量 [N/m^2]
ptsflx：地表热通量 [(kg K)/(m^2 s)]
qvsflx：地表水分通量 [kg/(m^2 s)]
pcr：云水下降速率 [m/s]
pca：累积云水下降量 [m]
prr：降雨速率 [m/s]
pra：累积降雨量 [m]
pir：云冰下降速率 [m/s]
pia：累积云冰下降量 [m]
psr：降雪速率 [m/s]
psa：累积降雪量 [m]
pgr：霰下降速率 [m/s]
pga：累积霰量 [m]