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CarboEurope R.E. Project Scientific Objectives Workpackage description Experiment plan 2005 Campaign 2007 Campaign CarboEurope R.E. data Information Upload site 2005 data access 2007 data access Partners Working papers News Join the mailing list Contact us ![]() |
Météo-France products
Various
operational NWP model output will be available to help the decision during the
field campaign as well as the interpretation of measures. At Météo-France, the
new operational assimilation system at mesoscale (3D Var Aladin with a 10 km resolution, run
every 6 hours) will be in operation during the field campaign. The radiososonde
soundings taken during the Intense Observing Periods (IOPs) at synoptic hours
will enter the 3D Var system in real time. The objective is here to improve the
mesoscale weather analysis which could be used as initial and lateral
conditions for high-resolution mesoscale modelling (e.g. with Meso-NH model). Forecast
products from ECMWF, Arpege and Aladin will be of course available at the
headquarter of the campaign, as well as plots of back- and direct
Aladin-forecasted trajectories (up to 2-day forecast), routinely computed for
CaroboEurope every 6 hours at the sites of Biscarrosse, Marmande and Toulouse
(i.e. at the entrance, middle and exit parts of the domain) at 500 and
2000m altitude, to help the decision to
start an IOP and choice the aircraft
flight plans. Among the Arpege/Aladin output, a large-scale map will be
available once a day from the actual up to three days in advance, to illustrate
the synoptic winds, surface fronts, and rainfall (see an example below). figure IV.2-a : Values of surface atmospheric pressure, ground track of
atmopsheric fronts, synoptic wind and rainfall at 12 UTC At regional scale, the horizontal wind fields will be available at 500 and 1500m altitude, at 09, 12 and 15h UTC the day after, together with the forecasted “radiosonde” profiles above the “La Cape Sud” (CS) site, as illustrated below. figure IV.1.2-b : Example of horizontal wind fields at 500 (bottom) and 1500m
(top), and “adiosonde” profiles, forecasted by Aladin for the day after Max-Plank Institute (Jena) products MPG-BGC
will provide forecasts of the airmass history for a number of receptors in the
experiment region. For this it is planned during the IOP to implement an
operational system. This system will enable to plan airborne sampling in a way
that can optimally constrain the exchange between biosphere and atmosphere.
Such a system has been successfully used for the COBRA experiments [Lin
et al., 2004], see also
<http://www.deas.harvard.edu/cobra/Fltplan/>. A recent update was made
for the COBRA-Maine experiment in summer 2004, and this version has been
transferred to workstations at the MPI-BGC. It will run on a newly purchased
Workstation (4 processors, 8 GB RAM). The
forecasting system involves the Stochastic Time-Inverted Lagrangian Transport
model (STILT), that is driven by forecasted meteorological fields, and that
represents airmasses as individual Lagrangian particles. These particles are
released at a given receptor location, and are moved backward in time by mean
and turbulent winds [Lin et al., 2003], [Gerbig et al.,
2003]. The density of these
particles at a given time and location then describe the influence of that
location to mixing ratios at the receptor location. That way measurements at different
times can be located such that they observe the same airmass, i.e. they are
made in a Lagrangian (airmass following) way. The system also suggests flight
paths to characterize airmasses at a given time, and picks out nearby airports
for missed approaches (missed approaches are “fake” landings at small airports,
that allow to profile down to very low altitudes unreachable over other areas).
Modifications
to this system will include adaptation of meteorological forecast fields not
used before. The only met fields currently used that covering the intensive
operational area, are generated by the gobal NCEP (US National Centers for
Environmental Prediction) AVN model (now called GFS model). It is planned to
add forecasted fields from the ECMWF model at 50 km resolution, and a file
converter/pre-processor is currently being written. It is further planned to
use high-resolution output from Aladin, a mesoscale operational forecasting
system by Météo-France. Further modifications of the forecasting system involve
extension of the airport database to Europe, so that the detailed planning of
flights can be done in a nearly automated way. It is
planned to have the forecasting system operational and web-accessible to
project partners well before start of the IOP, to ensure a high quality during
the campaign, but also to allow for a period of getting used to using the
information. Gerbig,
C., J.C. Lin, S.C. Wofsy, B.C. Daube, A.E. Andrews, B.B. Stephens, P.S. Bakwin,
and C.A. Grainger, Toward constraining regional-scale fluxes of CO2 with
atmospheric observations over a continent: 2. Analysis of COBRA data using a
receptor-oriented framework, Journal of Geophysical Research-Atmospheres,
108 (D24), 4757, doi:10.1029/2003JD003770, 2003. Lin,
J.C., C. Gerbig, S.C. Wofsy, A.E. Andrews, B.C. Daube, K.J. Davis, and C.A.
Grainger, A near-field tool for simulating the upstream influence of
atmospheric observations: The Stochastic Time-Inverted Lagrangian Transport
(STILT) model, Journal of Geophysical Research-Atmospheres, 108 (D16),
4493, doi:10.1029/2002JD003161, 2003. Lin,
J.C., C. Gerbig, S.C. Wofsy, A.E. Andrews, B.C. Daube, C.A. Grainger, B.B.
Stephens, P.S. Bakwin, and D.Y. Hollinger, Measuring fluxes of trace gases at
regional scales by Lagrangian observations: Application to the CO2 Budget and
Rectification Airborne (COBRA) study, Journal of Geophysical
Research-Atmospheres, 109, D15304, doi:10.1029/2004JD004754, 2004. An example of the graphical product generated by the flight planning tool. The receptor is Howland, Maine, which is the center of the downwind (0-hr) cross-section from where particles are simulated backward in time in STILT. The release time is on May 28th, 1300UT, and in this example the STILT particles are driven with meteorological fields from the AVN model updated on May 25th, 0600UT. The different components of the figure are tagged with numbers that are linked to explanations on the side figure IV.1.2-c: AVN model
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