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  • Wulfmeyer, Volker  (10)
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  • 1
    In: Tellus A, 03/2011
    ISSN: 0280-6495
    E-ISSN: 1600-0870
    Source: CrossRef
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  • 2
    Language: English
    In: Tellus A: Dynamic Meteorology and Oceanography, 01 January 2011, Vol.63(2), pp.263-282
    Description: A forward operator for Global Positioning System (GPS) slant total delay (STD) data and its adjoint were implemented into the Mesoscale Model version 5 (MM5) 4DVAR system to investigate its impact on quantitative precipitation forecasting (QPF). An operational forecast system was set up providing...
    Keywords: Meteorology & Climatology
    E-ISSN: 1600-0870
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  • 3
    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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  • 4
    Language: English
    In: Environmental Earth Sciences, 2013, Vol.69(2), pp.317-333
    Description: Sustainable water quality management requires a profound understanding of water fluxes (precipitation, run-off, recharge, etc.) and solute turnover such as retention, reaction, transformation, etc. at the catchment or landscape scale. The Water and Earth System Science competence cluster (WESS, http://www.wess.info/ ) aims at a holistic analysis of the water cycle coupled to reactive solute transport, including soil–plant–atmosphere and groundwater–surface water interactions. To facilitate exploring the impact of land-use and climate changes on water cycling and water quality, special emphasis is placed on feedbacks between the atmosphere, the land surface, and the subsurface. A major challenge lies in bridging the scales in monitoring and modeling of surface/subsurface versus atmospheric processes. The field work follows the approach of contrasting catchments, i.e. neighboring watersheds with different land use or similar watersheds with different climate. This paper introduces the featured catchments and explains methodologies of WESS by selected examples.
    Keywords: Water and solute fluxes ; Water quality ; Catchments ; Land-surface atmosphere exchange ; Processes and feedbacks ; Modeling ; Monitoring
    ISSN: 1866-6280
    E-ISSN: 1866-6299
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  • 5
    Language: English
    In: Meteorologische Zeitschrift, 01 December 2008, Vol.17(6), pp.867-885
    Description: This article describes the development of tools for routine 4-dimensional variational data assimilation of Global Positioning System Slant Total Delay (STD) data in the framework of the MM5 system at the Institute of Physics and Meteorology of the University of Hohenheim. The Slant Total Delay forward operator is introduced which allows model validation and the assimilation in the Message-Passing Interface environment. An experiment is conducted which highlights the importance of accurate model physics in the variational assimilation system. We demonstrate that the model minus observation statistics of STD data crucially depends on the convection scheme and the implementation of horizontal diffusion. A set of modifications to the existing non linear, tangent linear and adjoint model is presented. These include an improvement of the horizontal diffusion scheme and the implementation of the Grell cumulus convective scheme in order to eliminate the observed systematic tendency in the model minus observation statistics of the STD data and precipitation in mountainous terrain. A first assimilation experiment with the improved MM5 variational assimilation system shows promising results.
    Keywords: Meteorology & Climatology
    ISSN: 0941-2948
    E-ISSN: 1610-1227
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  • 6
    Language: English
    In: Quarterly Journal of the Royal Meteorological Society, 137(S1):3-30, 24 February 2011, Vol.137(S1)
    Description: Within the frame of the international field campaign COPS (Convective and Orographically-induced Precipitation Study), a large suite of state-of-the-art meteorological instrumentation was operated, partially combined for the first time. The COPS field phase was performed from 01 June - 31 August 2007 in a low-mountain area in southwestern Germany/eastern France covering the Vosges Mountains, the Rhine valley and the Black Forest Mountains. The collected data set covers the entire evolution of convective precipitation events in complex terrain from their initiation, to their development and mature phase up to their decay. 18 Intensive Operation Periods (IOPs) with 34 operation days and 8 additional Special Observation Periods (SOPs) were performed providing a comprehensive data set covering different forcing conditions. In this paper an overview of the COPS scientific strategy, the field phase, and its first accomplishments is given. Some highlights of the campaign are illustrated with several measurement examples. It is demonstrated that COPS provided new insight in key processes leading to convection initiation and to the modification of precipitation by orography, in the improvement of QPF by the assimilation of new observations, and in the performance of ensembles of convection permitting models in complex terrain.
    Keywords: Environmental Sciences ; Complex Terrain ; Convection ; Performance ; Atmospheric Precipitations ; Field Tests ; Climate Models ; Meteorology & Climatology ; Environmental Sciences
    ISSN: 0035-9009
    E-ISSN: 1477-870X
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  • 7
    Language: English
    In: Journal of Atmospheric and Oceanic Technology, 08/2008, Vol.25(8), pp.1437-1453
    Description: The impact of water vapor observations on mesoscale initial fields provided by a triangle of Raman lidar systems covering an area of about 200 km x 200 km is investigated. A test case during the Lindenberg Campaign for Assessment of Humidity and Cloud Profiling Systems and its Impact on High-Resolution Modeling (LAUNCH-2005) was chosen. Evaluation of initial water vapor fields derived from ECMWF analysis revealed that in the model the highly variable vertical structure of water vapor profiles was not recovered and vertical gradients were smoothed out. Using a 3-h data assimilation window and a resolution of 10-30 min, continuous water vapor data from these observations were assimilated in the fifth-generation Pennsylvania State University-NCAR Mesoscale Model (MM5) by means of a four-dimensional variational data analysis (4DVAR). A strong correction of the vertical structure and the absolute values of the initial water vapor field of the order of 1 g kg-1 was found. This occurred mainly upstream of the lidar systems within an area, which was comparable with the domain covered by the lidar systems. The correction of the water vapor field was validated using independent global positioning system (GPS) sensors. Much better agreement to GPS zenith wet delay was achieved with the initial water vapor field after 4DVAR. The impact region was transported with the mean wind and was still visible after 4 h of free forecast time.
    Keywords: Scientific Research ; Clouds ; Mean Winds ; Water Vapor in the Atmosphere ; Lidar Applications ; European Centre for Medium-Range Weather Forecasts ; Humidity ; Mesoscale Model Mm5 ; Global Positioning System (Gps) Satellite ; Data Analysis ; Data Assimilation ; Water Vapor Profiles ; Evaluation ; Water Vapor ; Assessments ; Profiles ; Structure ; Humidity ; Model Testing ; Wind ; Model Studies ; Germany, Brandenberg, Lindenberg ; Forecasting (551.509.1/.5) ; General ; General;
    ISSN: 0739-0572
    E-ISSN: 1520-0426
    Source: CrossRef
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  • 8
    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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  • 9
    Language: English
    Description: Project: D-PHASE, Demonstration of Probabilistic Hydrological and Atmospheric Simulation of flood Events in the Alpine region The Mesoscale Alpine Programme (MAP, the first WWRP Research and Development Project (RDP)) is an international research initiative devoted to the study of atmospheric and hydrological processes over mountainous terrain. It aims towards expanding our knowledge of weather and climate over complex topography, and thereby to improve current forecasting capabilities. A large-scale field phase in the Alpine region took place from 7 September to 15 November 1999. D-PHASE (Demonstration of Probabilistic Hydrological and Atmospheric Simulation of flood Events in the Alpine region) is a WWRP Forecast Demonstration Project (FDP) and aims at demonstrating some of the many achievements of MAP, in particular the ability of forecasting heavy precipitation and related flooding events in the Alpine region. The MAP FDP will address the entire forecasting chain ranging from limited-area ensemble forecasting, high-resolution atmospheric modelling(km-scale), hydrological modelling, and nowcasting to decision making by the end users, i.e., it is foreseen to set up an end-to-end forecasting system. The demonstration period of MAP D-PHASE will be 1 June to 30 November 2007. See also official homepage: http://www.map.meteoswiss.ch/map-doc/dphase/dphase_info.htm Please be aware of the common COPS/GOP/D-PHASE data policy, which you please find at http://cops.wdc-climate.de/ Summary:...
    Keywords: Climate
    Source: DataCite
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  • 10
    Language: English
    Description: Project: D-PHASE, Demonstration of Probabilistic Hydrological and Atmospheric Simulation of flood Events in the Alpine region The Mesoscale Alpine Programme (MAP, the first WWRP Research and Development Project (RDP)) is an international research initiative devoted to the study of atmospheric and hydrological processes over mountainous terrain. It aims towards expanding our knowledge of weather and climate over complex topography, and thereby to improve current forecasting capabilities. A large-scale field phase in the Alpine region took place from 7 September to 15 November 1999. D-PHASE (Demonstration of Probabilistic Hydrological and Atmospheric Simulation of flood Events in the Alpine region) is a WWRP Forecast Demonstration Project (FDP) and aims at demonstrating some of the many achievements of MAP, in particular the ability of forecasting heavy precipitation and related flooding events in the Alpine region. The MAP FDP will address the entire forecasting chain ranging from limited-area ensemble forecasting, high-resolution atmospheric modelling(km-scale), hydrological modelling, and nowcasting to decision making by the end users, i.e., it is foreseen to set up an end-to-end forecasting system. The demonstration period of MAP D-PHASE will be 1 June to 30 November 2007. See also official homepage: http://www.map.meteoswiss.ch/map-doc/dphase/dphase_info.htm Please be aware of the common COPS/GOP/D-PHASE data policy, which you please find at http://cops.wdc-climate.de/ Summary:...
    Keywords: Climate
    Source: DataCite
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