Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Anna Jurczyk"'
Autor:
Magdalena Pasierb, Zofia Bałdysz, Jan Szturc, Grzegorz Nykiel, Anna Jurczyk, Katarzyna Ośródka, Mariusz Figurski, Marcin Wojtczak, Cezary Wojtkowski
Publikováno v:
Meteorological Applications, Vol 31, Iss 3, Pp n/a-n/a (2024)
Abstract Precipitation estimation models are typically sourced by rain gauges, weather radars and satellite observations. A relatively new technique of precipitation estimation relies on the network of Commercial Microwave Links (CMLs) employed for c
Externí odkaz:
https://doaj.org/article/099144f4070d4e48bc44b2e37d163551
Publikováno v:
Meteorological Applications, Vol 27, Iss 1, Pp n/a-n/a (2020)
Abstract The paper is focused on the problem of weather radar precipitation compositing and aims to produce the data for the whole measurement domain in a way that ensures the quality of the composite is as high as possible. This is achieved by emplo
Externí odkaz:
https://doaj.org/article/334a6066a8e34f5e8933229afca66f43
Autor:
Zbyněk Sokol, Jan Szturc, Johanna Orellana-Alvear, Jana Popová, Anna Jurczyk, Rolando Célleri
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 351 (2021)
Radar-based rainfall information has been widely used in hydrological and meteorological applications, as it provides data with a high spatial and temporal resolution that improve rainfall representation. However, the broad diversity of studies makes
Externí odkaz:
https://doaj.org/article/c4be1ad7c1a240628be296fb4f68fb96
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1709 (2020)
A quantitative precipitation estimate (QPE) provides basic information for the modelling of many kinds of hydro-meteorological processes, e.g., as input to rainfall-runoff models for flash flood forecasting. Weather radar observations are crucial in
Externí odkaz:
https://doaj.org/article/ad5d05f3b8a44ea28348035d632a3228
This paper explores the possibility of using multi-source precipitation estimates for climatological applications. A data processing algorithm (RainGRS Clim) has been developed to work on precipitation accumulations such as daily or monthly totals, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d62edbbe4f828b47c0a4b2a0f9ccb1d
https://amt.copernicus.org/preprints/amt-2023-98/
https://amt.copernicus.org/preprints/amt-2023-98/
The HAIL application was developed and implemented in the Institute of Meteorology and Water Management – National Research Institute (IMGW) as a component of the MeteoWarn system of detection and forecasting of dangerous weather phenomena. The app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fdc59cba4f254b4e5e1ef39eb4093b1
https://doi.org/10.5194/egusphere-egu23-1129
https://doi.org/10.5194/egusphere-egu23-1129
Autor:
Magdalena Pasierb, Zofia Baldysz, Jan Szturc, Grzegorz Nykiel, Anna Jurczyk, Katarzyna Ośródka, Mariusz Figurski, Marcin Wojtczak, Cezary Wojtkowski
Precipitation estimation models are typically sourced by rain gauges, weather radars and satellite observations. A relatively new technique of precipitation estimation relies on the network of Commercial Microwave Links (CMLs) employed for cellular c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38380472a4c40bb3ac587d6be6e1dc88
https://doi.org/10.22541/au.167966300.05683083/v1
https://doi.org/10.22541/au.167966300.05683083/v1
Autor:
Elisa Adirosi, Pier Paolo Alberoni, Emmanouil N. Anagnostou, Marios Anagnostou, Marios N. Anagnostou, Alessandro Battaglia, James Beauchamp, Thiago Souza Biscaro, Bogdan Bochenek, Erik Borg, Stephan Borrmann, V.N. Bringi, Luca Brocca, Andrea Camplani, Daniele Casella, Arianna Cauteruccio, Micael Amore Cecchini, Daniel Cecil, Ying-Wen Chen, Leo Pio D’Adderio, Karoline Diehl, Peter Dietrich, Stefano Dietrich, Stefano Federico, Thomas Gastaldo, Patrick N. Gatlin, Yasutaka Ikuta, Anna Jurczyk, Eugenia Kalnay, John Kalogiros, Kaya Kanemaru, Petros Katsafados, Dimitrios Katsanos, Chris Kidd, Christian Klepp, Keiichi Kondo, Shunji Kotsuki, Paul A. Kucera, Luca G. Lanza, Guo-Yuan Lien, Joanna Linkowska, Federico Lombardo, Viviana Maggioni, Agostino Manzato, Christian Massari, Toshihisa Matsui, Enrique Vieira Mattos, Paola Mazzoglio, Angeliki Mentzafou, Andrés Merino, Silas Michaelides, Subir Kumar Mitra, Takemasa Miyoshi, Mona Morsy, Kamil Mroz, Andrés Navarro, Jeffrey A. Nystuen, Kozo Okamoto, Rômulo Augusto Jucá Oliveira, Irena Otop, Shigenori Otsuka, Katarzyna Ośródka, Tiziana Paccagnella, Giulia Panegrossi, Anastasios Papadopoulos, Aikaterini Pappa, Magdalena Pasierb, Virginia Poli, Federico Porcù, Khalil Ur Rahman, Adrianos Retalis, Sarah Ringerud, Paolo Sanò, Mathew Raymond Paul Sapiano, Masaki Satoh, Thomas Scholten, Songhao Shang, Ehsan Sharifi, Youssef Sherief, Christos Spyrou, Miklós Szakáll, Jan Szturc, Koji Terasaki, Alexander Theis, Merhala Thurai, Ali Tokay, Hirofumi Tomita, Rosa Claudia Torcasio, Filippos Tymvios, George Varlas, Daniel Alejandro Vila, Gianfranco Vulpiani, Nai-Yu Wang, Jun-Ichi Yano, Hisashi Yashiro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::159dd1ea5c14a0a5b9d1e247028659e4
https://doi.org/10.1016/b978-0-12-822973-6.00034-2
https://doi.org/10.1016/b978-0-12-822973-6.00034-2
Autor:
Bogdan Bochenek, Joanna Linkowska, Katarzyna Ośródka, Jan Szturc, Anna Jurczyk, Irena Otop, Magdalena Pasierb
Publikováno v:
Precipitation Science ISBN: 9780128229736
Precipitation Science
Precipitation Science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c24a9115415bb2b38da7b264f49b43ac
https://doi.org/10.1016/b978-0-12-822973-6.00002-0
https://doi.org/10.1016/b978-0-12-822973-6.00002-0
Publikováno v:
Meteorological Applications. 27