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  • HOBE - Center for Hydrology - Hydrological Observatory - Category: Stream Site
    Network Remote Sensing Geophysics Isotopes Cosmic ray Greenhouse Gasses Gallery Home Stream Site Back to Gallery Overview Start Cooliris Stream Site 1 Stream Site 2 Stream Site 3 Stream Site 4 Stream Site 5 Stream Site 6 Stream Site 7 Stream Site 8 Stream Site 9 Stream Site 10 Stream Site 11 Stream Site 12 Stream Site 13 Stream Site 14 Stream Site 16 Stream Site 17 Stream Site 18

    Original URL path: http://www.hobe.dk/index.php/component/joomgallery/stream-site (2016-05-02)
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  • Catchment
    Catchment 11 pressure transducers for measuring water level are placed in Jutland Running approx from the meadow site to Silkeborg Isotopes text pending

    Original URL path: http://www.hobe.dk/index.php/feltstationer/catchment?tmpl=component&print=1&page= (2016-05-02)
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  • HOBE - Center for Hydrology - Hydrological Observatory
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    Original URL path: http://www.hobe.dk/index.php/component/mailto/?tmpl=component&template=cleanlogic&link=b91351e006f6c49b43ea3d3794077cda539e181d (2016-05-02)
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  • Workpackages
    two administrative work packages The first six and WP10 focus on hydrological fluxes see below WP7 integrates all results in a hydrological model for coherent analysis Although the research is

    Original URL path: http://www.hobe.dk/index.php/workpackages?tmpl=component&print=1&page= (2016-05-02)
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  • HOBE - Center for Hydrology - Hydrological Observatory
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    Original URL path: http://www.hobe.dk/index.php/component/mailto/?tmpl=component&template=cleanlogic&link=8d1a216cda349e66ebbbfc331bc7de1f377e7d98 (2016-05-02)
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  • WP1 - Precipitation
    precipitation will be developed and validated against local climate conditions A dense network of rain gauges equipped with weather sensors has been established in a sub catchment to study the effects of local shelter and spatial variability of wind speed temperature and precipitation type Task 2 Precipitation estimation using weather radar Sub catchment rain gauges provide support for converting radar data into precipitation estimates Attention is paid to the effects of vertical variations of the reflectivity profile reflectivity enhancement due to melting of hydrometeors clutter and anomalous propagation of the radar beam A survey on radar adjustment methods is being carried out in order to identify the most suitable adjustment technique The adjustment is being optimized by using meteorological parameters such as temperature and weather type to account for spatial and temporal variations of precipitation type Special radar scanning strategies is being adapted to measure the radar radial Doppler winds This is being used to study their effect on the radar rain gauges corrections factors in task 1 Data from radars is used to investigate the spatial dependence of the radar derived precipitation estimates and the radar rain gauges corrections factors Task 3 Large scale lysimeters To analyze small scale

    Original URL path: http://www.hobe.dk/index.php/workpackages/wp1-precipitation?tmpl=component&print=1&page= (2016-05-02)
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  • HOBE - Center for Hydrology - Hydrological Observatory
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    Original URL path: http://www.hobe.dk/index.php/component/mailto/?tmpl=component&template=cleanlogic&link=2f74866da5f8a86054403c6f922e5a794770bf9c (2016-05-02)
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  • WP2 - Evapotranspiration
    be studied and tested at different scales Project data as well as standard meteorological data and data on surface characteristic will be utilized Transfer functions which relate meteorological data to net radiation and reference evapotranspiration to crop specific potential evapotranspiration will be developed Task 3 Remote sensing based estimation of evapotranspiration Sensible and latent heat fluxes evapotranspiration will be estimated by means of different remote sensing dataset The models used are based on the physically based Two Source Energy Balance Model TSEB which partitions the fluxes into soil and canopy soil evaporation and canopy transpiration Data from different satellite sensors with varying viewing and spectral characteristics will be compared and evaluated for the evapotranspiration modeling The different approaches will exploit different remote sensing platforms such as TERRA and AQUA MODIS for the assessment of the morning temperature rise and ENVISAT AATSR to assess directional effects on Land Surface Temperature and the retrieval of canopy and soil temperatures The results will be related to the approaches used for remote sensing of soil moisture described in WP3 and will be essential for the regionalization of evapotranspiration The data and results from the eddy correlation masts and the scintillometer are essential for the validation of the remote sensing algorithms and serve as a basis for improving the remote sensing methods Task 4 Regionalization of evapotranspiration Upscaling of evapotranspiration from plot field to regional scale will be done based on remote sensing data in a multi platform approach Data from high spatial resolution as airborne data and Landsat and ASTER to coarse resolution MODIS and AATSR will be utilized to assess not only the estimated fluxes but also the retrieved surface state variables such as surface albedo leaf area index soil moisture or land surface temperature and emissivity It will be addressed how the

    Original URL path: http://www.hobe.dk/index.php/workpackages/wp2-evapotranspiration?tmpl=component&print=1&page= (2016-05-02)
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