Coordinator(s) | Updated |
---|---|
Nathalie de Noblet / LSCE | 03/10/2005 |
Note: the list of required variables is not stable yet. You will find in the tables below the variables that are likely to be found in the database, and the variables that were suggested as useful but did not make it to the final list.
Name(s) | Units | Description | Axes | Frequency | DB | |||
---|---|---|---|---|---|---|---|---|
DA | MO | SE | AN | |||||
Required variables |
Please check Sandy Harrison's
note to get full details about the dust model variables! The
following table lists the variables that either are not required at
all at DAily frequency in the MOTIF database, or
are not required at a high enough frequency (sub-DAily) for the dust
model.
Name(s) | Units | Description | Axes | Frequency | DB | |||
---|---|---|---|---|---|---|---|---|
DA | MO | SE | AN |
Name(s) | Units | Description | Axes | Frequency | DB | |||
---|---|---|---|---|---|---|---|---|
DA | MO | SE | AN | |||||
Variables moved to the Atmosphere Variables' list | ||||||||
Other rejected variables |
One difficulty arising from the various variable lists is that much
information is redundant. Part of the problem could be solved by
creating a separate list, called 'land surface processes', which,
basically, would consider the diagnostics and prognostics of the land
surface scheme.
Another difficulty is the very large number of variables. The number
of variables to be centrally held and managed should not exceed 20 per
module and per model, 5 to 10 of which only being compulsary. A more
restrictive list presents both advantages of reducing our data storage
requirements and improve the intrinsic quality of each variable
(better control, quality check, better definition etc.) If a
particular model seems to show a response specifically different from
the others, it is always time to look at some very specific varibles,
with the support of the expert on that model.
Can we make clear what we mean by soil wetness, soil moisture, and
soil water content?