Contents
Purpose
Multiyear offline simulations with the land surface schemes used in the
data assimilation allow an evaluation of the climatological soil water
evolution in the area. This climatology is necessary to express the
added value of the data assimilation in terms of ability to detect
atypical events. Moreover, a systematic difference between the offline
climatology and the assimilated time series is a means to detect
systematic errors in the model, assuming the forcings to be correct.
Offline simulations have been carried out with the TESSEL scheme. So
far, a trial simulation is carried out using a forcing derived from
ERA40 by Ulf Hansson (SMHI) for the year 1995. Soon, an ELDAS-based
forcing for 2000 will be available.
Here a brief description of the interface between the offline model and
the forcing is given, followed by a comparison between the offline
TESSEL simulation and ERA40 soil water content in Europe.
The forcing interface
Ulf Hansson has prepared a netCDF-based database of ERA40 values of
- precipitation
- 2m temperature
- 10 m total wind speed
- lowest level (approx. 10m) specific humidity
- surface pressure
- downward longwave and shortwave radiation
This
forcing was reformatted
to comply with the data format that was
used in the RhoneAGG experiment, following ALMA conventions on variable
labeling and gridding. Precipitation was distributed over snowfall and
rainfall using the 2m temperature as indicator. No attempt was made to
interpolate the specific humidity to 2m height. The header of the
forcing netCDF file is given
here. In this file, a 1 x 1 degree grid is specified
between -14 and +38E, and +35 and +72N, at a time resolution of 6 hrs.
Similarly, netCDF files containing the
land
surface characteristics was created. The header is found
here, and the contents of
the file are compatible with the data needs of TESSEL. The parameters
were all taken from the
ECOCLIMAP
database file for ELDAS, by picking the closest grid point value.
Initial prognostic variables
(soil temperature and water content, snow cover, snow albedo and
density, interception reservoir) were given default uniform values for
each grid box. The contents of the file containing the intial
prognostics is found
here.
Example with TESSEL
The standard version of TESSEL was run for 1995. A one-year repetition
was executed to estimate an initial state for 1995. The offline code
was developed for the various PILPS-like experiments, and updates of
the physical parameterization implemented after the RhoneAgg experiment
were not considered. In this code, wind speed is interpolated to 2m
height using the local roughness length and assuming neutral
stratification. The specific humidity provided by Ulf (lowest model
level) was considered to be identical at 2m height and not changed. The
code interpolates the forcing (proved at 6hrly timesteps) to the model
time step (0.5 hour) linearly. Shortwave radiation is not corrected for
sunrise/sunset timing in the morning/evening intervals.

This
figure (click to enlarge) shows a time series of total soil
water content, averaged for all land grid points in the simulations
domain. Shown is a comparison between the offline TESSEL scheme and
soil water retrieved from ERA40. ERA40 data were not spatially
interpolated, but aggregated to the offline grid by picking the closest
land grid point value. The total soil water content is expressed
relative to its maximum value in spring, which is slightly higher in
ERA40 (0.915m) than in the offline simualtion (0.88m). Both timeseries
are simulated with the same TESSEL model formulation, and roughly
driven by the same forcings (apart from interpolation issues). The main
difference between the two simulations is the initialization (one year
repetition run in the offline model comapred to the continuous ERA40
cycle) and the soil adjustments made in ERA40. These keep the soil in a
wetter state throughout the summer.
Spatial
information per month
can be regarded from the animated cycle of plots, accessible via this
link (unzip and run on linux
with xanim). The overall higher soil water content in ERA40 is clearly
seen from this animation, as well as the increase of the difference
between the offline simulation and ERA40 from May onwards. It is also
evident that the largest differences occur in the south of Europe,
where the offline scheme has a more pronounced drying cycle.

Another
movie shows the
evolution of the soil
water profile through the year for both data sets. It is clear
that the offset between ERA40 and TESSEL is constantly present in the
bottom soil layer, which probably remains at a higher equilibrium water
content by absorbing part of the ERA40 soil water increments. The
largest deviations between the two data sets occurs in the top layers.
A clear contribution of the ERA40 increments to the evolution of the
soil water profile can not be easily detected from this animation.
More work will be carried out by running a multiyear suite as well as
preparing and running an ELDAS forcing covering 2000 at the original
ELDAS 0.2 degree resolution. For comments: contact
Bart vd Hurk.