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ORCIDWitold Rohm
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2020 – today
- 2024
[j13]Saeid Haji-Aghajany
, Witold Rohm, Maciej Kryza, Kamil Smolak:
Machine Learning-Based Wet Refractivity Prediction Through GNSS Troposphere Tomography for Ensemble Troposphere Conditions Forecasting. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024)- 2022
- [j12]Kamil Smolak, Witold Rohm, Katarzyna Sila-Nowicka:
Explaining human mobility predictions through a pattern matching algorithm. EPJ Data Sci. 11(1): 45 (2022) - [j11]Grzegorz Marut, Tomasz Hadas, Jan Kaplon, Estera Trzcina, Witold Rohm:
Monitoring the Water Vapor Content at High Spatio-Temporal Resolution Using a Network of Low-Cost Multi-GNSS Receivers. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c3]Vanessa da Silva Brum Bastos, Kamil Smolak, Witold Rohm, Katarzyna Sila-Nowicka:
A Weather-Aware Framework for Population Mobility Modelling (Short Paper). COSIT 2022: 17:1-17:9 - 2020
- [j10]Hugues Brenot, Witold Rohm, Michal Kacmarík, Gregor Möller, André Sá, Damian Tondas, Lukás Rapant, Riccardo Biondi, Toby Manning, Cédric Champollion:
Cross-Comparison and Methodological Improvement in GPS Tomography. Remote. Sens. 12(1): 30 (2020) - [j9]Saeid Haji-Aghajany, Yazdan Amerian, Sandra Verhagen, Witold Rohm, Hongyang Ma:
An Optimal Troposphere Tomography Technique Using the WRF Model Outputs and Topography of the Area. Remote. Sens. 12(9): 1442 (2020) - [j8]Marcelina Los, Kamil Smolak, Guergana Guerova, Witold Rohm:
GNSS-Based Machine Learning Storm Nowcasting. Remote. Sens. 12(16): 2536 (2020) - [j7]Zohreh Adavi, Witold Rohm, Robert Weber:
Analyzing Different Parameterization Methods in GNSS Tomography Using the COST Benchmark Dataset. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6155-6163 (2020) - [j6]Elzbieta Lasota, Witold Rohm, Guergana Guerova, Chian-Yi Liu:
A Comparison Between Ray-Traced GFS/WRF/ERA and GNSS Slant Path Delays in Tropical Cyclone Meranti. IEEE Trans. Geosci. Remote. Sens. 58(1): 421-435 (2020) - [j5]Kamil Smolak, Witold Rohm, Krzysztof Knop, Katarzyna Sila-Nowicka:
Population mobility modelling for mobility data simulation. Comput. Environ. Urban Syst. 84: 101526 (2020)
2010 – 2019
- 2019
- [j4]Maya Ilieva, Piotr Polanin, Andrzej Borkowski, Piotr Gruchlik, Kamil Smolak, Andrzej Kowalski, Witold Rohm:
Mining Deformation Life Cycle in the Light of InSAR and Deformation Models. Remote. Sens. 11(7): 745 (2019) - 2018
- [j3]Pawel Hordyniec, Jan Kaplon, Witold Rohm, Maciej Kryza:
Residuals of Tropospheric Delays from GNSS Data and Ray-Tracing as a Potential Indicator of Rain and Clouds. Remote. Sens. 10(12): 1917 (2018) - [c2]Kamil Smolak, Barbara Kasieczka, Katarzyna Sila-Nowicka, Katarzyna Kopanczyk, Witold Rohm, Wieslaw Fialkiewicz:
Urban Hourly Water Demand Prediction Using Human Mobility Data. BDCAT 2018: 213-214 - 2015
- [j2]Robert J. Norman, John Le Marshall, Witold Rohm, Brett A. Carter, Gottfried Kirchengast, Simon Alexander, Congliang Liu, Kefei Zhang:
Simulating the Impact of Refractive Transverse Gradients Resulting From a Severe Troposphere Weather Event on GPS Signal Propagation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(1): 418-424 (2015) - [j1]Kefei Zhang, Toby Manning, Suqin Wu, Witold Rohm, David Silcock, Suelynn Choy:
Capturing the Signature of Severe Weather Events in Australia Using GPS Measurements. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(4): 1839-1847 (2015) - 2012
- [c1]Yunbin Yuan, Witold Rohm, Suqin Wu, Kefei Zhang, Suelynn Choy:
Advanced Weather Prediction and Severe Weather Monitoring Using National GNSS CORS Infrastructure - Preliminary Results. GSR 2012
Coauthor Index
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