Articles | Volume 16, issue 8
https://doi.org/10.5194/hess-16-2647-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-16-2647-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Aug 2012
Research article |
| 13 Aug 2012
Precipitation observation using microwave backhaul links in the alpine and pre-alpine region of Southern Germany
C. Chwala
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Garmisch-Partenkirchen, Germany
A. Gmeiner
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Garmisch-Partenkirchen, Germany
University of Applied Sciences Regensburg, Regensburg, Germany
W. Qiu
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Garmisch-Partenkirchen, Germany
S. Hipp
Technische Universität München, Institute for High-Frequency Engineering, Munich, Germany
D. Nienaber
Technische Universität München, Institute for High-Frequency Engineering, Munich, Germany
U. Siart
Technische Universität München, Institute for High-Frequency Engineering, Munich, Germany
T. Eibert
Technische Universität München, Institute for High-Frequency Engineering, Munich, Germany
M. Pohl
University of Applied Sciences Regensburg, Regensburg, Germany
J. Seltmann
Deutscher Wetterdienst, Hohenpeißenberg, Germany
J. Fritz
Ericsson GmbH, Düsseldorf, Germany
H. Kunstmann
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Garmisch-Partenkirchen, Germany
University of Augsburg, Institute for Geography, Augsburg, Germany
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- Utilizing microwave communication data for detecting fog where satellite retrievals are challenged N. David 10.1007/s11069-018-3428-3
- Precipitation Classification Using Measurements From Commercial Microwave Links D. Cherkassky et al. 10.1109/TGRS.2013.2259832
- Opportunistic remote sensing of rainfall using microwave links from cellular communication networks R. Uijlenhoet et al. 10.1002/wat2.1289
- Real-Time Rainfall Estimation Using Microwave Links: A Case Study in East China during the Plum Rain Season in 2020 K. Song et al. 10.3390/s21030858
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- Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation K. Kumah et al. 10.3390/atmos11090884
- Retrieval algorithm for rainfall mapping from microwave links in a cellular communication network A. Overeem et al. 10.5194/amt-9-2425-2016
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- Using Cellular Communication Networks To Detect Air Pollution N. David & H. Gao 10.1021/acs.est.6b00681
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- Combining Commercial Microwave Link and Rain Gauge Observations to Estimate Countrywide Precipitation: A Stochastic Reconstruction and Pattern Analysis Approach N. Blettner et al. 10.1029/2022WR032563
- Low complexity single-layer neural network for enhanced rainfall estimation using microwave links A. Daher et al. 10.2166/hydro.2022.099
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- Application of commercial microwave links (CMLs) attenuation for quantitative estimation of precipitation M. Pasierb et al. 10.1002/met.2218
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- Intensity estimation after detection for accumulated rainfall estimation T. Weiss et al. 10.3389/frsip.2024.1291878
- Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges B. Haese et al. 10.1002/2017WR021015
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- A monostatic microwave transmission experiment for line integrated precipitation and humidity remote sensing C. Chwala et al. 10.1016/j.atmosres.2013.05.014
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- Improving Rainfall Measurement in Gauge Poor Regions Thanks to Mobile Telecommunication Networks M. Gosset et al. 10.1175/BAMS-D-15-00164.1
- The Potential of Microwave Communication Networks to Detect Dew—Experimental Study O. Harel et al. 10.1109/JSTARS.2015.2465909
- The NEFOCAST System for Detection and Estimation of Rainfall Fields by the Opportunistic Use of Broadcast Satellite Signals F. Giannetti et al. 10.1109/MAES.2019.2916292
- Analyzing the ability to reconstruct the moisture field using commercial microwave network data N. David et al. 10.1016/j.atmosres.2018.12.025
- Commercial microwave link networks for rainfall observation: Assessment of the current status and future challenges C. Chwala & H. Kunstmann 10.1002/wat2.1337
2 citations as recorded by crossref.
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