Name of proposer: 
Patrick Eriksson

Institution:
Department of Radio and Space Science
Chalmers University of Technology
SE-41296 Gothenburg
Sweden

Contact:
phone: +46-31-7721832 
fax:   +46-31-7721884 
email: Patrick.Eriksson@rss.chalmers.se
www:   www.rss.chalmers.se/gem

Title of contribution:
"Satellite observations of water in the UTLS region"

Main elements:
(a) Fields of water vapour, including different isotopes, 
    retrieved from Odin-SMR (public release pending).
(b) Modeling studies of the water isotopic composition of
    the lower stratosphere.
(c) A generic radiative transfer program for longwave remote 
    sensing (ARTS).
(d) Studies of future satellite sensors for observations of
    the UTLS region.


Relationship to MoU Objectives:

1. To help address and coordinate the development of new measurement
techniques that are particularly suited for the UTLS region.

This objective is treated by contributions (c) and (d). Detailed
simulation studies will be performed for various sensors as part of
contribution (c). A key element to make such studies successful is to
correctly model the radiative transfer, and contribution (c) will
help to solve many of the shortcomings existing today.

2. To evaluate measurement campaigns and use the results and
experience gathered to help plan and promote new campaigns.

Contribution (c) could give the tools needed for a more detailed
error characterisation of data obtained by remote sensing.

3. To develop algorithms to assimilate an increasing variety of UTLS
datasets into global circulation models (GCMs) and chemistry transport
models (CTMs) which encompass the troposphere and stratosphere.

Contribution (a) can help to validate fast RT algorithms needed for
this objective. A possible extension of the atmospheric models is to
also cover the isotopic chemistry of methane and water vapour and
contribution (d) will give the needed experience for such a
development.

4. Using the developed algorithms, to provide a quality-controlled
assimilated UTLS ozone and water vapor dataset for the use of the
scientific community.

Contribution (a) can help to validate the assimilated dataset.


Relationship to scientific program:

The main part of the work will contribute to C-1 "Observations", and
there will be some contribution to C-2 "Analysis".


Deliverables:

Elements (a) and (c) represent deliverables, where the delivery of
element (a) is depending on the public release of Odin data. Activities
(b) and (d) will be avaliable as scientific publications.


Indicative timetable:

Contributions (b) and (c) will mainly be performed during year 1 and
2. Contribution (a) will be a continuous process during years 1-4, as
new data become avaliable and validation progresses. Activities inside
contribution (d) are foreseen for the duration of the COST action.


Manpower:

1 research scientists
3 PhD students
Possible involvement of other Odin scientists.


Assurance of availability of resources:

Odin-SMR measurements are on-going. Public release of the data awaits
validation of the results. Salaries for PhD students are covered for
the duration of the action.


Foreseen collaboration:

Contribution (c) is performed in collaboration with the group at
Bremen University lead by Stefan Buehler. Processing of Odin-SMR data
is a collaboration between Chalmers University and the Bordeaux
Observatory.


Previous experience:

Radiative transfer modeling work:

Eriksson, P., F. Merino, D. Murtagh, P. Baron, P. Ricaud and J. de la Noë
Studies for the Odin sub-millimetre radiometer: 1. Radiative transfer and 
instrument simulation
Can. J. Phys., 80, 321-340, 2002.

Atmospheric millimeter and sub-millimeter wave radiative transfer modeling II
Edited by Eriksson, P. and S. Bühler, Logos-Verl., ISBN 3-89722-585-9, 2001.

Atmospheric millimeter and sub-millimeter wave radiative transfer modeling
Edited by Bühler, S. and P. Eriksson, Shaker Verlag, ISBN 3-8265-7486-9, 2000.

Buehler, S., P. Eriksson, W. Haas, N. Koulev, T. Kuhn and O. Lemke
ARTS user guide (download from  www.sat.uni-bremen.de/arts)
2001-2003.

Retrieval methodology:

Eriksson, P.
Analysis and comparison of two linear regularization methods for 
passive atmospheric observations
J. Geophys. Res., 105(D14), 18157-18167, 2000.

Jimenez, C. and P. Eriksson
A neural network technique for inversion of atmospheric observations 
from microwave limb sounders
Radio Sci., 36, 941-953, 2001.

New sensors:

Experience from preperatory work for Odin-SMR and numerous ESTEC
studies (SOPRANO, MASTER/ACECHEM, and WATS/ACE+).