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  • 1
    Language: English
    In: Quarterly Journal of the Royal Meteorological Society, 2012, Vol.138(667), pp.1652-1667
    Description: The Convective and Orographically-driven Precipitation Study (COPS) carried out in summer 2007 over northeastern France and southwestern Germany provided a fairly comprehensive description of the low-troposphere water-vapour field, thanks in particular to the deployment of two airborne...
    Keywords: Sciences of the Universe ; Earth Sciences ; Meteorology ; Leandre 2 ; Wales ; Arome ; Vera ; Meteorology & Climatology
    ISSN: 0035-9009
    E-ISSN: 1477-870X
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  • 2
    In: Water Resources Research, February 2014, Vol.50(2), pp.1337-1356
    Description: Interactions between the soil, the vegetation, and the atmospheric boundary layer require close attention when predicting water fluxes in the hydrogeosystem, agricultural systems, weather, and climate. However, land‐surface schemes used in large‐scale models continue to show deficiencies in consistently simulating fluxes of water and energy from the subsurface through vegetation layers to the atmosphere. In this study, the multiphysics version of the Noah land‐surface model (Noah‐MP) was used to identify the processes, which are most crucial for a simultaneous simulation of water and heat fluxes between land surface and the lower atmosphere. Comprehensive field data sets of latent and sensible heat fluxes, ground heat flux, soil moisture, and leaf area index from two contrasting field sites in South‐West Germany are used to assess the accuracy of simulations. It is shown that an adequate representation of vegetation‐related processes is the most important control for a consistent simulation of energy and water fluxes in the soil‐plant‐atmosphere system. In particular, using a newly implemented submodule to simulate root growth dynamics has enhanced the performance of Noah‐MP. We conclude that further advances in the representation of leaf area dynamics and root/soil moisture interactions are the most promising starting points for improving the simulation of feedbacks between the subsoil, land surface and atmosphere in fully coupled hydrological and atmospheric models. Selecting different model options strongly influences accuracy of simulations The ensemble size can be reduced by constraining Noah‐MP to different data types Considering dynamics of root growth results in more accurate simulations
    Keywords: Land‐Surface Model ; Structural Uncertainty ; Root Water Uptake ; Latent And Sensible Heat ; Ground Heat Flux ; Soil Moisture
    ISSN: 0043-1397
    E-ISSN: 1944-7973
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  • 3
    Language: English
    In: Monthly Weather Review, 01/2006, Vol.134(1), pp.209-230
    Description: Four-dimensional variational assimilation of water vapor differential absorption lidar (DIAL) data has been applied for investigating their impact on the initial water field for mesoscale weather forecasting. A case that was observed during the International H2O Project (IHOP_2002) has been selected. During 24 May 2002, data from the NASA Lidar Atmospheric Sensing Experiment were available upstream of a convective system that formed later along the dryline and a cold front. Tools were developed for routinely assimilating water vapor DIAL data into the fifth-generation Pennsylvania State University-NCAR Mesoscale Model (MM5). The results demonstrate a large impact on the initial water vapor field. This is due to the high resolution and accuracy of DIAL data making the observation of the high spatial variability of humidity in the region of the dryline and of the cold front possible. The water vapor field is mainly adjusted by a modification of the atmospheric wind field changing the moisture transport. A positive impact of the improved initial fields on the spatial/temporal prediction of convective initiation is visible. The results demonstrate the high value of accurate, vertically resolved mesoscale water vapor observations and advanced data assimilation systems for short-range weather forecasting.
    Keywords: Scientific Research ; Drylines ; Cold Fronts ; Water Vapor Distribution ; Moisture Transport ; Lidar ; Humidity ; Mesoscale Model Mm5 ; Convective Systems ; Wind Fields ; Weather Forecasting ; Data Assimilation ; Spatial Variability ; Forecasting (551.509.1/.5) ; General ; Methods of Observation/Computations (551.501);
    ISSN: 0027-0644
    E-ISSN: 1520-0493
    Source: CrossRef
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