The idea is to start with archiving of the former EURO4M outputs in MARS the same way as UERRA data will be stored in the future.

Solution chosen:

  • original data in GRIB1 (no common definitions of the parameters) for period 2008-2009
  • 15 selected surface parameters only

List of parameters to be stored from EURO4M into MARS

@grib parameter description in the table: unit, parameter number/Id, table number (LTYPE), level

@Precipitation: We would like to have total, large-scale, and convective precipitation, rainfall, and snowfall available. In order to achieve that it is necessary to only store two of the total, large-scale, convective and precipitation, rainfall, snowfall combinations. Is this abundance of precipitation output of scientific value or is, e.g., total precipitation sufficient?

 

Variable Name

SMHI

Comments

Uni Bonn/HErZ

Comments

Météo France

Comments

UKMO

Comments

UERRA GRIB2
Geopotentialm^2/s^2
6
105
0
 

m^2/s^2
6
2
-

 

m^2/s^2
129
128
0

 

gpm
7
3
surface

geopotential height is providedorog

10m U,V wind components

m/s
033,034
105
10

 

m/s
033, 034
105
10

 

m/s
165, 166
128
10

 

m/s
85, 86
174

 

10u

10v

1.5m / 2m temperature

K
011
105
2

 

K
011
105
2

 

K
167
128
2

 

K
87
174

1.5m temperature over land

2t

1.5m / 2m Tx, Tn

K
015,016
105
2

 

K
015, 016
105
2

Defined within a time interval

NA

 

K
50, 51
174

Min, Max temperature at 1.5m since previous post-processing

mn2t6

mx2t6

Net shortwave radiation flux at the surface

J/m^2
111
105
0

Net surface short-wave radiation (accumulated)

W/m^2
111
1
-

Net short-wave radiation flux at surface (instantaneous)

NA

 

W/m^2
111
3

Net short-wave radiation flux (surface)

ssr

Downwelling (global) short-wave radiation

J/m^2
117
105
0

Accumulated value

W/m^2
22, 23
201
-

Instantaneous value (sum of direct and diffuse radiation at surface)

J/m^2
169
128
0

accumulated flux at the surface

J/m^2
116
174

Short wave radiation flux at surface (accumulated)

ssrd

Total cloud cover

fraction
071
105
0

 

%
71
1
-

 

NA

 

?
71
3

 

???

tcc

Total precipitation

kg/m^2
061
105
0

accumulated

kg/m^2
061
1
-

Accumulated in forecasting interval

m
228
128
0

 

Kg /(m^2*day)
61
3
-

Total accumulated precip.

tp

Total rainfall

NA

 

NA

 

NA

 

NA

 

 

Total snowfall

Kg/m^2
065
105
0

accumulated

NA

 

NA

 

NA

 

sf

Convective precipitation

???
063
105
0

 

NA

 

NA

 

kg / m^2
63
3

Convective precip (water)

cp

Convective rainfall

NA

 

kg/m^2
113
201
-

Accumulated in forecasting interval

NA

 

NA

 

 

Convective snowfall

???
078
105
0

 

kg/m^2
78
2
-

Accumulated in forecasting interval

NA

 

m of water
equivalent
239
128

 

 

Large-scale precipitation

???
062
105
0

 

NA

 

NA

 

NA

 

lsp

Large-scale rainfall

NA

 

kg/m^2
102
201
-

Accumulated in forecasting interval

NA

 

NA

 

 

Large-scale snowfall

???
079
105
0

 

Kg/m^2
79
2
-

Accumulated in forecasting interval

NA

 

NA

 

 

Snow depth

m
138
105
0

 

m
066
1
-

 

m
141 (question)
128
0

not available for EURO4M
will be available for UERRA

NA

 

sd
Surface long-wave radiation (downwards)    J/m^2
175
128
0
   strd
2m relative humidity    %
157
128
2
    q/r

 

 

 

6 Comments

  1. I don't think splitting precipitation into subtypes is that scientifically useful as it is model dependent.

  2. Anonymous

    So, are you saying that total precipitation would be sufficient to start with?

     

  3. Others might object though

  4. Hi Peter, I hope I'm correctly logged in now and my Name (Michael) is shown.

    Thanks for commenting. I've initially put it into the table because I thought that convective precipitation, and maybe also snowfall, would be important output of the regional reanalyses which are worth evaluating.

  5. Hi,

    if you want to fill in the blanks regarding our SMHI dataset, look here: https://docs.google.com/spreadsheets/d/1klKBqQ9F6u7h8bl79MW8nAv3tuGeXFvj8El9KHBdgp0/edit?usp=sharing

    Let me know if you need edit rights.

     

    /Sébastien