Rolf Rüfenacht
University of Bern
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Publication
Featured researches published by Rolf Rüfenacht.
Journal of Geophysical Research | 2015
A. Le Pichon; Jelle Assink; P. Heinrich; E. Blanc; Andrew Charlton-Perez; Christopher Lee; Philippe Keckhut; Alain Hauchecorne; Rolf Rüfenacht; Niklaus Kämpfer; Douglas P. Drob; Pieter Smets; L. G. Evers; Lars Ceranna; Christoph Pilger; O. Ross; Chantal Claud
High-resolution, ground-based and independent observations including co-located wind radiometer, lidar stations, and infrasound instruments are used to evaluate the accuracy of general circulation models and data constrained assimilation systems in the middle atmosphere at northern hemisphere mid-latitudes. Systematic comparisons between observations, the Medium-Range Weather Forecasts (ECMWF) operational analyses including the recent Integrated Forecast System (IFS) cycles 38r1 and 38r2, the NASAs Modern Era Retrospective analysis for Research and Applications (MERRA) re-analyses and the free running climate Max Planck Institute Earth System Model (MPI-ESM-LR) are carried out in both temporal and spectral domains. We find that ECMWF and MERRA are broadly consistent with lidar and wind radiometer measurements up to ~40 km. For both temperature and horizontal wind components, deviations increase with altitude as the assimilated observations become sparser. Between 40 and 60 km altitude, the standard deviation of the mean difference exceeds 5 K for the temperature and 20 m/s for the zonal wind. The largest deviations are observed in winter when the variability from large-scale planetary waves dominates. Between lidar data and MPI-ESM-LR, there is an overall agreement in spectral amplitude down to 15-20 days. At shorter time-scales, the variability is lacking in the model by ~10 dB. Infrasound observations indicate a general good agreement with ECWMF wind and temperature products. As such, this study demonstrates the potential of the infrastructure of the Atmospheric Dynamics Research Infrastructure in Europe project (ARISE) that integrates various measurements and provides a quantitative understanding of stratosphere-troposphere dynamical coupling for numerical weather prediction applications.
Journal of Applied Remote Sensing | 2015
Philippe Keckhut; Yann Courcoux; Jean-Luc Baray; Jacques Porteneuve; Hélène Vérèmes; Alain Hauchecorne; Davide Dionisi; Françoise Posny; Jean-Pierre Cammas; Guillaume Payen; Franck Gabarrot; Stéphanie Evan; Sergey Khaykin; Rolf Rüfenacht; Brigitte Tschanz; Niklaus Kämpfer; Philippe Ricaud; A. Abchiche; Jimmy Leclair-de-Bellevue; Valentin Duflot
Abstract. The first operations at the new High-altitude Maïdo Observatory at La Réunion began in 2013. The Maïdo Lidar Calibration Campaign (MALICCA) was organized there in April 2013 and has focused on the validation of the thermodynamic parameters (temperature, water vapor, and wind) measured with many instruments including the new very large lidar for water vapor and temperature profiles. The aim of this publication consists of providing an overview of the different instruments deployed during this campaign and their status, some of the targeted scientific questions and associated instrumental issues. Some specific detailed studies for some individual techniques were addressed elsewhere. This study shows that temperature profiles were obtained from the ground to the mesopause (80 km) thanks to the lidar and regular meteorological balloon-borne sondes with an overlap range showing good agreement. Water vapor is also monitored from the ground to the mesopause by using the Raman lidar and microwave techniques. Both techniques need to be pushed to their limit to reduce the missing range in the lower stratosphere. Total columns obtained from global positioning system or spectrometers are valuable for checking the calibration and ensuring vertical continuity. The lidar can also provide the vertical cloud structure that is a valuable complementary piece of information when investigating the water vapor cycle. Finally, wind vertical profiles, which were obtained from sondes, are now also retrieved at Maïdo from the newly implemented microwave technique and the lidar. Stable calibrations as well as a small-scale dynamical structure are required to monitor the thermodynamic state of the middle atmosphere, ensure validation of satellite sensors, study the transport of water vapor in the vicinity of the tropical tropopause and study their link with cirrus clouds and cyclones and the impact of small-scale dynamics (gravity waves) and their link with the mean state of the mesosphere.
Surveys in Geophysics | 2018
E. Blanc; Lars Ceranna; Alain Hauchecorne; Andrew Charlton-Perez; Emanuele Marchetti; L. G. Evers; Tormod Kværna; Jan Lastovicka; L. Eliasson; Norma B. Crosby; Ph. Blanc-Benon; A. Le Pichon; Nicolas Brachet; Christoph Pilger; Philippe Keckhut; Jelle Assink; Pieter Smets; Christopher Lee; Johan Kero; Tereza Sindelarova; Niklaus Kämpfer; Rolf Rüfenacht; Thomas Farges; C. Millet; Sven Peter Näsholm; Steven J. Gibbons; Patrick J. Espy; R. E. Hibbins; P. Heinrich; Maurizio Ripepe
This paper reviews recent progress toward understanding the dynamics of the middle atmosphere in the framework of the Atmospheric Dynamics Research InfraStructure in Europe (ARISE) initiative. The middle atmosphere, integrating the stratosphere and mesosphere, is a crucial region which influences tropospheric weather and climate. Enhancing the understanding of middle atmosphere dynamics requires improved measurement of the propagation and breaking of planetary and gravity waves originating in the lowest levels of the atmosphere. Inter-comparison studies have shown large discrepancies between observations and models, especially during unresolved disturbances such as sudden stratospheric warmings for which model accuracy is poorer due to a lack of observational constraints. Correctly predicting the variability of the middle atmosphere can lead to improvements in tropospheric weather forecasts on timescales of weeks to season. The ARISE project integrates different station networks providing observations from ground to the lower thermosphere, including the infrasound system developed for the Comprehensive Nuclear-Test-Ban Treaty verification, the Lidar Network for the Detection of Atmospheric Composition Change, complementary meteor radars, wind radiometers, ionospheric sounders and satellites. This paper presents several examples which show how multi-instrument observations can provide a better description of the vertical dynamics structure of the middle atmosphere, especially during large disturbances such as gravity waves activity and stratospheric warming events. The paper then demonstrates the interest of ARISE data in data assimilation for weather forecasting and re-analyzes the determination of dynamics evolution with climate change and the monitoring of atmospheric extreme events which have an atmospheric signature, such as thunderstorms or volcanic eruptions.
Archive | 2019
Rolf Rüfenacht; Niklaus Kämpfer
Observations of wind profiles in the upper stratosphere /lower mesosphere are challenging as the established measurement techniques based on in situ methods, radars or airglow spectrometers cannot cover this altitude range. Nevertheless, wind information from these altitudes is important for the assessment of middle-atmospheric dynamics in general and as basis for planetary wave or infrasound propagation estimates. Benefitting from recent developments in spectrometers and low-noise amplifiers, microwave radiometry now offers the opportunity to directly and continuously measure horizontal wind profiles at altitudes between 35 and 70 km. This is achieved by retrieving the wind-induced Doppler shifts from pressure broadened atmospheric emission spectra. The typical measurement uncertainties and vertical resolutions of daily average wind profiles lie between 10–20 m/s and 10–16 km, respectively. In this chapter, comparisons of the measured wind profiles to different ECMWF model versions and MERRA re-analysis data are shown. Moreover, the oscillatory behaviour of ECMWF winds is investigated. It appears that the longer period wave activities agree well with the observations, but that the model shows less variability on timescales shorter than 10 days.
Atmospheric Measurement Techniques | 2012
Rolf Rüfenacht; Niklaus Kämpfer; Axel Murk
Atmospheric Measurement Techniques | 2014
Rolf Rüfenacht; Axel Murk; Niklaus Kämpfer; Patrick Eriksson; Stefan Buehler
Journal of Geophysical Research | 2015
A. Le Pichon; Jelle Assink; P. Heinrich; E. Blanc; Andrew Charlton-Perez; Christopher Lee; Philippe Keckhut; Alain Hauchecorne; Rolf Rüfenacht; Niklaus Kämpfer; Douglas P. Drob; Pieter Smets; L. G. Evers; Lars Ceranna; Christoph Pilger; O. Ross; Chantal Claud
Atmospheric Chemistry and Physics | 2016
Susana Fernandez; Rolf Rüfenacht; Niklaus Kämpfer; Thierry Portafaix; Françoise Posny; Guillaume Payen
Journal of Quantitative Spectroscopy & Radiative Transfer | 2017
Rolf Rüfenacht; Niklaus Kämpfer
Atmospheric Chemistry and Physics | 2016
Rolf Rüfenacht; Klemens Hocke; Niklaus Kämpfer