Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Stefan Stapelberg"'
Autor:
Tim Böhme, Stefan Stapelberg, Tom Akkermans, Susanne Crewell, Jürgen Fischer, Thorsten Reinhardt, Axel Seifert, Christoph Selbach, Nicole Van Lipzig
Publikováno v:
Meteorologische Zeitschrift, Vol 20, Iss 2, Pp 119-132 (2011)
Data of two years of observations (2007-2008) from the General Observation Period (GOP) are used to evaluate forecasts of the operational COSMO model applications (COSMO-DE and COSMO-EU) of the German Weather Service (DWD). As part of the German Prio
Externí odkaz:
https://doaj.org/article/9cab4459055940a39642f965a1fdccb8
Convection can yield severe weather events (thunder, wind gust, tornadoes, hail, flash-flood...) which can have dramatic societal consequences. Identifying areas with potential atmospheric instabilities is hence critical to issue accurate warnings, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b8d689851aa4c929af5357a437aac2c
https://doi.org/10.5194/ecss2023-168
https://doi.org/10.5194/ecss2023-168
Autor:
Stefan Stapelberg, Stephan Finkensieper, Matthew Christensen, Caroline Poulsen, Martin Stengel, Daniel Philipp, Oliver Sus, Gregory R. McGarragh, Benjamin Würzler, Rainer Hollmann
We present version 3 of the Cloud_cci AVHRR-PM dataset which contains a comprehensive set of cloud and radiative flux properties on a global scale covering the period of 1982 to 2016. The properties were retrieved from Advanced Very High Resolution R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da17b8c054560f3d1b6b5f2544189e87
https://doi.org/10.5194/essd-2019-104
https://doi.org/10.5194/essd-2019-104
Autor:
Oliver Sus, Martin Stengel, Stefan Stapelberg, Gregory McGarragh, Caroline Poulsen, Adam C. Povey, Cornelia Schlundt, Gareth Thomas, Matthew Christensen, Simon Proud, Matthias Jerg, Roy Grainger, Rainer Hollmann
We present the key features of the Community Cloud retrieval for CLimate (CC4CL) processing algorithm. We focus on the novel features of the framework: the optimal estimation approach in general, explicit uncertainty quantification through rigorous p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c465a6b853ac662495537a534b6d251
https://doi.org/10.5194/amt-11-3373-2018
https://doi.org/10.5194/amt-11-3373-2018
Autor:
Gregory R. McGarragh, Caroline A. Poulsen, Gareth E. Thomas, Adam C. Povey, Oliver Sus, Stefan Stapelberg, Cornelia Schlundt, Simon Proud, Matthew W. Christensen, Martin Stengel, Rainer Hollmann, Roy G. Grainger
The Community Cloud retrieval for Climate (CC4CL) is a cloud property retrieval system for satellite-based multispectral imagers and is an important component of the Cloud Climate Change Initiative (Cloud_cci) project. In this paper we discuss the op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::430530a95635a0faa961e5a9ea271bc4
https://ora.ox.ac.uk/objects/uuid:8a77595a-a651-42ad-8e68-b01d4ea2f93c
https://ora.ox.ac.uk/objects/uuid:8a77595a-a651-42ad-8e68-b01d4ea2f93c
Autor:
Cintia Carbajal Henken, Ralf Bennartz, Cornelia Schlundt, Rainer Hollmann, Jędrzej S. Bojanowski, Abhay Devasthale, Stefan Stapelberg, Rene Preusker, Gregory R. McGarragh, Ulrika Willén, Roy G. Grainger, Jan Fokke Meirink, Martin Stengel, Karl-Göran Karlsson, Simon Richard Proud, Caroline Poulsen, Gareth Thomas, Oliver Sus, Adam C. Povey, Matthew Christensen, Artem G. Feofilov, Juergen Fischer
Publikováno v:
Earth System Science Data
Earth System Science Data, 2017, 9, pp.881-904. ⟨10.5194/essd-9-881-2017⟩
Earth System Science Data, Vol 9, Pp 881-904 (2017)
Earth System Science Data, 2017, 9, pp.881-904. ⟨10.5194/essd-9-881-2017⟩
Earth System Science Data, Vol 9, Pp 881-904 (2017)
New cloud property datasets based on measurements from the passive imaging satellite sensors AVHRR, MODIS, ATSR2, AATSR and MERIS are presented. Two retrieval systems were developed that include components for cloud detection and cloud typing followe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::933c34199f068101a671dad6aab3fa99
https://doi.org/10.5194/essd-9-881-2017
https://doi.org/10.5194/essd-9-881-2017
Autor:
Stefan Stapelberg, Axel Seifert, Tim Böhme, Christoph Selbach, Jürgen Fischer, Nicole Van Lipzig, Susanne Crewell, Tom Akkermans, Thorsten Reinhardt
Publikováno v:
Meteorologische Zeitschrift. 20:119-132
Data of two years of observations (2007-2008) from the General Observation Period (GOP) are used to evaluate forecasts of the operational COSMO model applications (COSMO-DE and COSMO-EU) of the German Weather Service (DWD). As part of the German Prio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f70ec9144a36e1d53e52706959aed3a4
https://doi.org/10.1127/0941-2948/2011/0225
https://doi.org/10.1127/0941-2948/2011/0225