[1] In recent publications, a new basin-scale dataset of monthly variations in terrestrial water storage (BSWB) was derived for the ERA40 time period (1958–2002) using an atmospheric-terrestrial water-balance approach (Seneviratne et al., 2004; Hirschi et al., 2006). Here, we test the feasibility of using ECMWF operational forecast analyses – available for the recent time period in near real ti...

Clouds simulated by the European Centre for Medium-Range Weather Forecasts (ECMWF) model are composited to derive the typical organization of clouds surrounding a midlatitude baroclinic system. Comparison of this composite of about 200 cyclones with that based on satellite data reveals that the ECMWF model quite accurately simulates the general positioning of clouds relative to a low pressure c...

Middle atmosphere water vapour and dynamical features in aircraft measurements and ECMWF analyses D. G. Feist, A. J. Geer, S. Müller, and N. Kämpfer Institute of Applied Physics, University of Bern, Switzerland Data Assimilation Research Centre, University of Reading, UK now at: Max-Planck-Institute for Biogeochemistry, Jena, Germany now at: European Centre for Medium-Range Weather Forecasts (E...

The SMOSMANIA soil moisture network in Southwestern France is used to evaluate modelled and remotely sensed soil moisture products. The surface soil moisture (SSM) measured in situ at 5 cm permits to evaluate SSM from the SIM operational hydrometeorological model of Météo-France and to perform a cross-evaluation of the normalised SSM estimates derived from coarse-resolution (25 km) active micro...

[1] Ground-based GPS measurements can provide independent data for the assessment of climate models. We use the atmospheric integrated water vapor (IWV) obtained from GPS measurements at 99 European sites to evaluate the regional Rossby Centre Atmospheric climate model (RCA) driven at the boundaries by the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis data (ERA Interim)....

For more than a decade, the European Centre for Medium-Range Weather Forecasts (ECMWF) has used in-situ observations of 2 m temperature and 2 m relative humidity to operationally constrain the temporal evolution of model soil moisture. These observations are not available everywhere and they are indirectly linked to the state of the surface, so under various circumstances, such as weak radiativ...

MJ Martin, Met Office, Exeter, UK. M Balmaseda, ECMWF, Reading, UK L Bertino, NERSC, Bergen, Norway P Brasseur, LEGI, Grenoble, France G Brassington, Bureau of Meteorology, Melbourne, Australia J Cummings, NRL, Monterey, USA Y Fujii, JMA/MRI, Tsukuba, Japan DJ Lea, Met Office, Exeter, UK J-M Lellouche, Mercator Ocean, Toulouse, France K Mogensen, ECMWF, Reading, UK P Oke, CSIRO, Hobart, Austral...

We have developed a Lagrangian air-parcel cirrus model (LACM), to diagnose the processes controlling water in the tropical tropopause layer (TTL). LACM applies parameterised microphysics to air parcel trajectories. The parameterisation includes the homogeneous freezing of aerosol droplets, the growth/sublimation of ice particles, and sedimentation of ice particles, so capturing the main dehydra...

We used a statistical linear model to infer MERRA’s wind speed v t (x ), at time t and on some ECMWF grid point x included in the MERRA grid point x , from MERRA’s estimate v t (x M ): v t (x ) = a E t v M t (x M ) + b E t , where the coefficients a E t and b x t are estimated using ECMWF’s wind speed estimate v E t (x ) as a response variable. This estimation is carried out adaptively on a mon...