S
Siebren de Haan
Researcher at Royal Netherlands Meteorological Institute
Publications - 23
Citations - 428
Siebren de Haan is an academic researcher from Royal Netherlands Meteorological Institute. The author has contributed to research in topics: Numerical weather prediction & Nowcasting. The author has an hindex of 9, co-authored 23 publications receiving 347 citations.
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Journal ArticleDOI
Review of the state of the art and future prospects of the ground-based GNSS meteorology in Europe
Guergana Guerova,Jonathan Jones,Jan Dousa,Galina Dick,Siebren de Haan,Eric Pottiaux,Olivier Bock,Rosa Pacione,Gunnar Elgered,Henrik Vedel,Michael Bender +10 more
TL;DR: In this paper, a review of the state of the art in Global Navigation Satellite System (GNSS) meteorology in Europe is presented, which covers the advances in GNSS processing for derivation of tropospheric products.
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Real-Time Water Vapor Maps from a GPS Surface Network: Construction, Validation, and Applications
TL;DR: In this paper, real-time integrated water vapor (IWV) maps from a surface network of global positioning system (GPS) receivers are constructed using a two-dimensional variational technique with a persistence background.
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Assimilation of High-Resolution Mode-S Wind and Temperature Observations in a Regional NWP Model for Nowcasting Applications
Siebren de Haan,Ad Stoffelen +1 more
TL;DR: In this paper, the beneficial impacts of high-resolution (in space and time) wind and temperature observations from aircraft on very short-range numerical weather forecasting are presented, where the observations are retrieved using the tracking and ranging radar from the air traffic control facility at Schiphol Airport, Amsterdam, the Netherlands.
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Synergetic Use of GPS Water Vapor and Meteosat Images for Synoptic Weather Forecasting
TL;DR: In this article, the use of integrated water vapor (IWV) measurements from a ground-based global positioning system (GPS) for nowcasting is described for a cold front that passed the Netherlands during 16 and 17 May 2000.
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Estimates of Mode-S EHS aircraft-derived wind observation errors using triple collocation
TL;DR: In this paper, a triple-collocation method was applied to estimate wind observation errors from aircraft, obtained utilizing information from air traffic control surveillance radar with Selective Mode Enhanced Surveillance capabilities (Mode-S EHS, see de Haan, 2011).