Calibration of precipitation estimation algorithm with particular emphasis on the Pomeranian region using high performance computing

• Autorzy: Bieliński T. , Chybicki A.
• Języki publikacji: EN

Abstrakty

EN

Fast and accurate precipitation estimation is an important element of remote atmosphere monitoring, as it allows, for example, to correct short-term weather forecasts and the prediction of several types of meteorological threats. The paper presents methodology for calibrating precipitation estimation algorithm based on MSG SEVIRI sensor data, and Optimal Cloud Analysis product available via EumetCast transmission. Calibration is performed in a predefined coastal zone area, and utilizes the parallelized gradient computing method. In order to perform and validate results of estimation, reference weather radar data was provided by the Meteorology and Hydrology Research Institute (pol. Instytut Meteorologii i Gospodarki Wodnej - IMGW). The research was conducted using the Tryton supercomputer - the high performance computing environment of Gdansk University of Technology.

Słowa kluczowe

EN

SEVIRI; MSG; gradient method; weather radars

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2016
• Tom: Vol. 19
• Strony: 17--26
• Opis fizyczny: Bibliogr. 7 poz., rys.

Twórcy

autor

Bieliński T.

• Gdańsk University of Technology Faculty of Electronics, Telecommunications and Informatics Gabriela Narutowicza 11/12 80-233 Gdańsk, Poland

autor

Chybicki A.

• Gdańsk University of Technology Faculty of Electronics, Telecommunications and Informatics Gabriela Narutowicza 11/12 80-233 Gdańsk, Poland

Bibliografia

• [1] H. Krawczyk, M. Nykiel, J. Proficz. "Tryton supercomputer capabilities for analysis of massive data streams", Polish Maritime Research 22.3 (2015), 99-104.
• [2] R. A. Roebeling, I. Holleman; SEVIRI rainfall retrieval and validation using weather radar observations; JORNUAL OF GEOPHYSICAL RESEARCH Volume: 114/2009.
• [3] R. A. Roebeling, H. M. Deneke, A. J. Feijt; Validation of Cloud Liquid Water Path Retrievals from SEVIRI Using One Year of CloudNET Observations; JORNUAL OF APPLIED METEOROLOGY AND CLIMATOLOGY Volume: 47/2009.
• [4] D. M. Aminou, H. J. Luhmann , C. Hanson, P. Pili, B. Jacquet, S. Bianchi, F. Faure (2003, September). Meteosat Second Generation: A comparison of on-ground and onflight imaging and radiometric performances of SEVIRI on MSG-1. In Proceedings of the 2003 EUMETSAT Meteorological Satellite Conference, Weimar, Germany (Vol. 29).
• [5] S. Moszkowicz, I. Tuszyńska, Meteorologia radarowa: podręcznik użytkownika informacji radarowej IMGW. Instytut Meteorologii i Gospodarki Wodnej, 2003 (in Polish).
• [6] D. W. Marquardt, An algorithm for least-squares estimation of nonlinear parameters. Journal of the society for Industrial and Applied Mathematics, 11(2), 431-441, 1963.
• [7] K. Zofia, Opady w Polsce w przekroju wieloletnim, pages 55 – 57, Wydawnictwa Geologiczne, 1962 (in Polish).

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)