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GNSS Remote Sensing of the Arctic and Ocean using Spaceborne
Reflectometry [1]
- © M.
Hoseini
Mostafa Hoseini
Norwegian
University of Science and Technology NTNU, Trondheim, Norway
GFZ
Potsdam
Fakultät VI - Planen Bauen Umwelt, Technischen
Universität Berlin
Remote sensing using signals
of Global Navigation Satellite Systems (GNSS) is a method providing a
new source of observations to study the Earth System including its
atmosphere. GNSS Reflectometry (GNSS-R) is element of GNSS Remote
Sensing and a novel observation technique. It exploits reflected GNSS
signals from land, ice or water bodies to retrieve information about
different geophysical parameters. This technique has been increasingly
used in ground-based, air- or spaceborne configuration. It is being
pursued for a variety of applications over land, ocean and ice.
Different processing approaches could be developed and applied to get
geophysical information with unprecedented high accuracy and
spatiotemporal resolution.
more to: GNSS Remote Sensing
of the Arctic and Ocean using Spaceborne Reflectometry
[2]
Climatological and Space Weather related features of the
Ionosphere [3]
- © S. Kamal
(DLR)
Sumon Kamal
Fakultät VI -
Planen Bauen Umwelt, Technischen Universität Berlin
DLR
Neustrelitz
This cooperation project with DLR
focuses on Climatological and Space Weather related features of the
E-Layer dominated Ionosphere. It is GNSS radio occultation data from
various satellite mission are used as the main data base.
more to: Climatological and
Space Weather related features of the Ionosphere [4]
GNSS-based remote sensing: Innovative observation of key
hydrological parameters in the central Andes [5]
- © Antonoglou
(GFZ)
Nikolaos Antonoglou
Fakultät
VI - Planen Bauen Umwelt, Technischen Universität Berlin
Institut für Erd- und Umweltwissenschaften, Universität Potsdam
GFZ Potsdam
The central Andes are characterized
by a steep climatic gradient where key hydrologic variables change
across short distances. One of the largest unknown component in this
environment is the storage of water in the atmosphere, soil (soil
moisture) and the snow height (or snow water equivalent). Both are
parameters that can be quantified using innovative GNSS (Global
Navigational Satellite Systems) based remote sensing techniques, which
were successfully tested and established and the resulting
observations evolved into an important data source for numerous
meteorological applications.
more to: GNSS-based remote
sensing: Innovative observation of key hydrological parameters in the
central Andes [6]
GNSS Reflectometry Data Assimilation into Severe Weather
Predictions [7]
- © M. Asgarimehr
(GFZ)
Milad Asgarimehr
Faculty VI -
Planning Building Environment, Technical University Berlin
GFZ
Potsdam
This joint research project of GFZ with
University Partners and the German Weather Service, studies the wind
retrieval and assimilation of the space-borne reflectometry data into
the current global weather models with the purpose of efficient and
improved storm predictions. The study will be carried out in
retrieving wind information as the prognostic variable of weather
models as fast and accurate as possible. Setting up data assimilation
algorithms, GNSS reflectometry data assimilation into weather forecast
models for storm scale predictions will be addressed.
more to: GNSS Reflectometry
Data Assimilation into Severe Weather Predictions
[8]
Determining Hydroclimatic Extreme Events Over the South-central
Andes [9]
- © M. Ramezani
Ziarani (GFZ)
Maryam Ramezani Ziarani
Faculty
VI - Planning Building Environment, Technical University Berlin
Institute of Earth and Environmental Science, University of
Potsdam
GFZ Potsdam
The south-central Andes
in NW Argentina are characterized by a strong rainfall asymmetry. In
the east-west direction exists one of the steepest rainfall gradients
on Earth, resulting from the large topographic differences in this
region. In addition, in the north-south direction the rainfall
intensity varies as the climatic regime shifts from the tropical
central Andes to the subtropical south-central Andes. This study
focuses on the investigation of the hydroclimatic extreme events over
the south-central Andes .
more to: Determining
Hydroclimatic Extreme Events Over the South-central Andes
[10]
GNSS Meteorology and Soil Moisture Determination [11]
- © T. Simeonov
(GFZ)
Tzvetan Simeonov
Faculty VI -
Planning Building Environment, Technical University Berlin
GFZ
Potsdam
Reflected GNSS signals, also called
multipath, are unwanted effect for GNSS positioning. But these signals
provide oportunities to estimate properties of the reflective
surfaces. For ground-based GNSS stations these surfaces can be
buildings, soils or water in rivers, lakes or seas. This research is
focused on the surface properties of soils and open ground. Thus the
reflected signals carry information about soil moisture, as well as
about the water content in vegetation.
more to: GNSS Meteorology and
Soil Moisture Determination [12]
------
Links: ------
[1]
https://www.gnss.tu-berlin.de/menue/education/recen
t_phd_projects/gnss_remote_sensing_of_the_arctic_and_oc
ean_using_spaceborne_reflectometry/parameter/en/font4/m
inhilfe/
[2]
https://www.gnss.tu-berlin.de/menue/education/recen
t_phd_projects/gnss_remote_sensing_of_the_arctic_and_oc
ean_using_spaceborne_reflectometry/parameter/en/font4/m
inhilfe/
[3]
https://www.gnss.tu-berlin.de/menue/education/recen
t_phd_projects/climatological_and_space_weather_related
_features_of_the_ionosphere/parameter/en/font4/minhilfe
/
[4]
https://www.gnss.tu-berlin.de/menue/education/recen
t_phd_projects/climatological_and_space_weather_related
_features_of_the_ionosphere/parameter/en/font4/minhilfe
/
[5]
https://www.gnss.tu-berlin.de/menue/education/recen
t_phd_projects/gnss_based_observation_of_key_hydrologic
al_parameters_in_the_central_andes/parameter/en/font4/m
inhilfe/
[6]
https://www.gnss.tu-berlin.de/menue/education/recen
t_phd_projects/gnss_based_observation_of_key_hydrologic
al_parameters_in_the_central_andes/parameter/en/font4/m
inhilfe/
[7]
https://www.gnss.tu-berlin.de/menue/education/recen
t_phd_projects/gnss_reflectometry_for_weather_predictio
ns/parameter/en/font4/minhilfe/
[8]
https://www.gnss.tu-berlin.de/menue/education/recen
t_phd_projects/gnss_reflectometry_for_weather_predictio
ns/parameter/en/font4/minhilfe/
[9]
https://www.gnss.tu-berlin.de/menue/education/recen
t_phd_projects/hydroclimatic_events_determination_over_
the_south_central_andes/parameter/en/font4/minhilfe/
[10]
https://www.gnss.tu-berlin.de/menue/education/rece
nt_phd_projects/hydroclimatic_events_determination_over
_the_south_central_andes/parameter/en/font4/minhilfe/
[11]
https://www.gnss.tu-berlin.de/menue/education/rece
nt_phd_projects/gnss_meteorology_and_soil_moisture_dete
rmination/parameter/en/font4/minhilfe/
[12]
https://www.gnss.tu-berlin.de/menue/education/rece
nt_phd_projects/gnss_meteorology_and_soil_moisture_dete
rmination/parameter/en/font4/minhilfe/
