Name Card

Full name Familienname, Vorname
Rohm, Witold
 

Own Publications Eigene Publikationen

Results 1-8 of 8 (Search time: 0.001 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Moeller, Gregor ; Adavi, Zohreh ; Wilgan, Karina ; Brenot, Hugues ; Hanna, Natalia ; Kamm, Bettina ; Schenk, Andreas ; Pottiaux, Eric ; Shehaj, Endrit ; Zhang, Wenyuan ; Trzcina, Estera ; Rohm, Witold Tomographic fusion strategies for the reconstruction of small-scale structures in the lower atmospherePresentation Vortrag13-Jun-2022
2Adavi, Zohreh ; Lasota, Elzbieta ; Rohm, Witold ; Weber, Robert Applying Machine Learning Methods to predict rain using GNSS products and meteorological parametersKonferenzbeitrag Inproceedings23-May-2022
3Adavi, Zohreh ; Rohm, Witold ; Weber, Robert Analyzing Different Parameterization Methods in GNSS Tomography Using the COST Benchmark DatasetArtikel Article 2020
4Moeller, Gregor ; Ao, Chi ; Adavi, Zohreh ; Brenot, Hugues ; Sá, André ; Hajj, George ; Hanna, Natalia ; Kitpracha, Chaiyaporn ; Pottiaux, Eric ; Rohm, Witold ; Shehaj, Endrit ; Trzcina, Estera ; Wang, Kuo-Nung ; Wilgan, Karina ; Zhang, Kefei Sensing small-scale structures in the troposphere with tomographic principles (IAG working group)Konferenzbeitrag Inproceedings2020
5Hanna, Natalia ; Trzcina, Estera ; Kryza, Maciej ; Rohm, Witold TOMOREF operator for assimilation of GNSS tomography wet refractivity fields in WRF DA systemKonferenzbeitrag Inproceedings2020
6Trzcina, Estera ; Hanna, Natalia ; Kryza, Maciej ; Rohm, Witold TOMOREF Operator for Assimilation of GNSS Tomography Wet Refractivity Fields in WRF DA SystemArtikel Article 2020
7Hanna, Natalia ; Trzcina, Estera ; Möller, Gregor ; Rohm, Witold ; Weber, Robert Assimilation of GNSS tomography products into the Weather Research and Forecasting model using radio occultation data assimilation operatorArtikel Article 2019
8Smolak Kamil - 2019 - Towards Anonymous Mobility Data Through the Modelling of...pdf.jpgSmolak, Kamil ; Sila-Nowicka, Katarzyna ; Rohm, Witold Towards Anonymous Mobility Data Through the Modelling of Spatiotemporal Circadian RhythmsInproceedings Konferenzbeitrag 2019