A5058764771- GNSS positioning and interference
- Geophysics and Gravity Measurements
- Ionosphere and magnetosphere dynamics
- Soil Moisture and Remote Sensing
- Inertial Sensor and Navigation
- Precipitation Measurement and Analysis
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Meteorological Phenomena and Simulations
- Radio Wave Propagation Studies
- Atmospheric and Environmental Gas Dynamics
- Integrated Water Resources Management
- Earthquake Detection and Analysis
- Environmental Monitoring and Data Management
- Atmospheric Ozone and Climate
- Renewable energy and sustainable power systems
- Methane Hydrates and Related Phenomena
- Wireless Sensor Networks for Data Analysis
- Indoor and Outdoor Localization Technologies
GFZ Helmholtz Centre for Geosciences
2020-2024
Technische Universität Berlin
2020-2023
Wroclaw University of Environmental and Life Sciences
2013-2022
Institute of Geodesy and Geophysics
2021
ETH Zurich
2018-2020
The GNSS precise point positioning (PPP) technique requires high quality product (orbits and clocks) application, since their error directly affects the of positioning. For real-time purposes it is possible to utilize ultra-rapid orbits clocks which are disseminated through Internet. In order eliminate as many unknown parameters possible, one may introduce external information on zenith troposphere delay (ZTD). It desirable that a priori model accurate reliable, especially for application....
Abstract. The GNSS data assimilation is currently widely discussed in the literature with respect to various applications for meteorology and numerical weather models. Data combines atmospheric measurements knowledge of behavior as codified computer With this approach, “best” estimate current conditions consistent both information sources produced. Some approaches also allow assimilating non-prognostic variables, including remote sensing from radar or (global navigation satellite system)....
The tropospheric delay is one of the major error sources in precise point positioning (PPP), affecting accuracy and precision estimated coordinates convergence time, which raises demand for a reliable model, suitable to support PPP. In this study, we investigate impact three models mapping functions regarding position time. We propose routine constrain estimates, implemented in-house developed real-time PPP software. take advantage high spatial resolution (4 × 4 km2) numerical weather...
Abstract Storms and floods are the most frequent natural disaster in western central Europe. Due to climate change, intensive storms with prolonged rain episodes will continue cause even more destructive flooding. The good understanding forecasting of such events thus uttermost importance. One ways improve weather forecasts is assimilation external data, as global navigation satellite systems (GNSS). In this study, a preparation multi-GNSS tropospheric products—zenith total delays, gradients...
Precise positioning requires an accurate a priori troposphere model to enhance the solution quality. Several empirical models are available, but they may not properly characterize state of troposphere, especially in severe weather conditions. Another possible is use regional based on real-time or near-real time measurements. In this study, we present total refractivity and zenith delay (ZTD) numerical prediction (NWP) model, Global Navigation Satellite System (GNSS) data ground-based...
<ns3:p>Opportunistic sensors are increasingly used for rainfall measurement. However, their raw data collected by a variety of systems that often not primarily intended monitoring, resulting in plethora different formats and lack common standards. This hinders the sharing opportunistic sensing (OS) data, automated processing, and, at end, practical usage integration into standard observation systems. paper summarises experiences more than 100 members OpenSense Cost Action involved OS...
The tropospheric delay of a microwave signal affects all space geodetic techniques. One possibility modeling the is by introducing models from external data sources. In this study, we present high-resolution total refractivity and zenith (ZTD) for alpine area in Switzerland. troposphere are based on different combinations sources, including numerical weather prediction (NWP) model COSMO-1 with high spatial resolution $$1.1~\hbox {km}~\times ~1.1~\hbox {km}$$ , GNSS permanent stations GPS...
Abstract. The assimilation of global navigation satellite system (GNSS) data has been proven to have a positive impact on weather forecasts. However, the is limited due fact that solely zenith total delays (ZTDs) or integrated water vapor (IWV) derived from GPS constellation are utilized. Assimilation more advanced products, such as slant (STDs), several systems may lead improved This study shows preparation step for assimilation, i.e., analysis multi-GNSS tropospheric parameters: ZTDs,...
<h3>Abstract</h3> High spatio-temporal variability of atmospheric water vapor affects microwave signals Global Navigation Satellite Systems (GNSS) and Interferometric Synthetic Aperture Radar (InSAR). A better knowledge the distribution improves both GNSS- InSAR-derived data products. In this work, we present a collocation framework to combine retrieve zenith (relative) slant tropospheric delays. GNSS InSAR meteorological products are combined aiming at retrieval vapor. We investigate...
Troposphere delay values may be applied either in positioning or meteorology.Several troposphere empirical models are available as functions of meteorological parameters (temperature, air pressure and relative humidity); the zenith total (ZTD) also NRT (near real-time) product GNSS (Global Navigation Satellite System) processing.To provide fully operational service for real-time PPP (Precise Point Positioning) it is essential to ZTD estimates short-term forecasts from near estimation.This...
In GNSS analysis, the tropospheric delay is parameterized by applying mapping functions (MFs), zenith delays, and gradients. Thereby, wet hydrostatic MF are derived under assumption of a spherically layered atmosphere. The coefficients closed-form expression computed utilizing climatology or numerical weather model (NWM) data. this study, we analyze impact mismodelling on estimated parameters in precise point positioning (PPP). To do so, mimic PPP an artificial environment, i.e., make use...
We compare tropospheric delays from Global Navigation Satellite Systems (GNSS) and Synthetic Aperture Radar (SAR) Interferometry (InSAR) in a challenging mountainous environment the Swiss Alps, where strong spatial variations of local conditions are often observed. Tropospheric usually considered to be an error for both GNSS InSAR, typically removed. However, recently these also recognized as signal interest, example assimilation into numerical weather models or climate studies. The InSAR...
Abstract. The GNSS data assimilation is currently widely discussed in the literature with respect to various applications meteorology and numerical weather models. Data combines atmospheric measurements knowledge of behavior as codified computer With this approach, best estimate current conditions consistent both information sources produced. Some approaches allow assimilating also non-prognostic variables, including remote sensing from radar or (Global Navigation Satellite System). These...
The European Union's Horizon 2020 Prediction of Adverse effects Geomagnetic storms and Energetic Radiation (PAGER) project was successfully concluded in 2023. This provides real-time space weather forecast initiated from the solar observations as well predictions radiation its on satellite infrastructure. Real-time particle cold plasma density allow for evaluation surface charging deep dielectric charging. a 1-2-day probabilistic data assimilative ring current belt environments, which allows...
<ns3:p>Opportunistic sensors are increasingly used for rainfall measurement. However, their raw data collected by a variety of systems that often not primarily intended monitoring, resulting in plethora different formats and lack common standards. This hinders the sharing opportunistic sensing (OS) data, automated processing, and, at end, practical usage integration into standard observation systems. paper summarises experiences more than 100 members OpenSense Cost Action involved OS...
&lt;p&gt;Within the International Association of Geodesy (IAG), a new working group was formed with intention to bring together researchers and professionals on tomography-based concepts for sensing neutral atmosphere space-geodetic techniques. Hereby focus lies Global Navigation Satellite Systems (GNSS) but also complementary observation techniques, like Interferometric Synthetic Aperature Radar (InSAR) or microwave radiometers, sensitive water vapor distribution in lower...