Richard Querel
National Institute of Water and Atmospheric Research
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Publication
Featured researches published by Richard Querel.
Journal of Geophysical Research | 2015
Prijitha J. Nair; L. Froidevaux; Jayanarayanan Kuttippurath; Joseph M. Zawodny; James M. Russell; Wolfgang Steinbrecht; H. Claude; Thierry Leblanc; J. A. E. van Gijsel; Bryan J. Johnson; D. P. J. Swart; A. Thomas; Richard Querel; R. H. J. Wang; J. Anderson
We present a comprehensive analysis of the trends of stratospheric ozone in the midlatitudes and subtropics. The analysis is performed using ground-based and space-based measurements over the light detection and ranging stations for the period 1985–2012. Also, trends are estimated for the zonal mean data made from a merged satellite data set, Global OZone Chemistry And Related trace gas Data records for the Stratosphere, over 1979–2012. The linear trends in stratospheric ozone are estimated using piecewise linear trend (PWLT) functions. The ozone trends during the increasing phase of halogens (before 1997) range from −0.2 ± 0.08 to −1 ± 0.07% yr−1 in the midlatitudes and −0.2 ± 0.06 to −0.7 ± 0.05 % yr−1 in the subtropics at 15–45 km, depending on altitude. In 1997–2012, the PWLT analyses show a positive trend, significantly different from zero at the 95% confidence intervals, toward ozone recovery in the middle- and low-latitude upper stratosphere (35–45 km), and the trends are about +0.5 ± 0.07% yr−1 at midlatitudes and about +0.3 ± 0.05% yr−1 at subtropical latitudes. However, negative and insignificant trends are estimated in the lower stratosphere (15–20 km) over 1997–2012 in the midlatitudes, mainly due to the dynamics, as demonstrated by the large (50–60%) contributions from the quasi-biennial oscillation, El Nino–Southern Oscillation, and planetary wave activity to recent ozone changes. This suggests that the ozone changes are governed by the interannual variations in meteorology and dynamics of the regions; these factors will influence the recovery detection time and the behavior of the recovery path to pre-1980 levels.
Proceedings of SPIE | 2014
Richard Querel; Florian Kerber
A Low Humidity and Temperature Profiling (LHATPRO) microwave radiometer, manufactured by Radiometer Physics GmbH (RPG), is used to monitor sky conditions over ESO’s Paranal observatory in support of VLT science operations. The unit measures several channels across the strong water vapour emission line at 183 GHz, necessary for resolving the low levels of precipitable water vapour (PWV) that are prevalent on Paranal (median ~2.4 mm). The instrument consists of a humidity profiler (183-191 GHz), a temperature profiler (51-58 GHz), and an infrared camera (~10 μm) for cloud detection. We present, for the first time, a statistical analysis of the homogeneity of all-sky PWV using 21 months of periodic (every 6 hours) all-sky scans from the radiometer. These data provide unique insight into the spatial and temporal variation of atmospheric conditions relevant for astronomical observations, particularly in the infrared. We find the PWV over Paranal to be remarkably homogeneous across the sky down to 27.5° elevation with a median variation of 0.32 mm (peak to valley) or 0.07 mm (rms). The homogeneity is a function of the absolute PWV but the relative variation is fairly constant at 10-15% (peak to valley) and 3% (rms). Such variations will not be a significant issue for analysis of astronomical data. Users at ESO can specify PWV – measured at zenith – as an ambient constraint in service mode to enable, for instance, very demanding observations in the infrared that can only be conducted during periods of very good atmospheric transmission and hence low PWV. We conclude that in general it will not be necessary to add another observing constraint for PWV homogeneity to ensure integrity of observations. For demanding observations requiring very low PWV, where the relative variation is higher, the optimum support could be provided by observing with the LHATPRO in the same line-of-sight simultaneously. Such a mode of operations has already been tested but will have to be justified in terms of scientific gain before implementation can be considered. This will be explored further in the future.
Proceedings of SPIE | 2016
Florian Kerber; Richard Querel; Bianca Neureiter; Reinhard W. Hanuschik
A Low Humidity and Temperature Profiling (LHATPRO) microwave radiometer is used to monitor sky conditions over ESO’s Paranal observatory. It provides measurements of precipitable water vapour (PWV) at 183 GHz, which are being used in Service Mode for scheduling observations that can take advantage of favourable conditions for infrared (IR) observations. The instrument also contains an IR camera measuring sky brightness temperature at 10.5 μm. It is capable of detecting cold and thin, even sub-visual, cirrus clouds. We present a diagnostic diagram that, based on a sophisticated time series analysis of these IR sky brightness data, allows for the automatic and quantitative classification of photometric observing conditions over Paranal. The method is highly sensitive to the presence of even very thin clouds but robust against other causes of sky brightness variations. The diagram has been validated across the complete range of conditions that occur over Paranal and we find that the automated process provides correct classification at the 95% level. We plan to develop our method into an operational tool for routine use in support of ESO Science Operations.
Earth System Science Data Discussions | 2018
Jordis S. Tradowsky; Gregory E. Bodeker; Richard Querel; Peter Builtjes; Juergen Fischer
Abstract. A site atmospheric state best estimate (SASBE) of the temperature profile above the GCOS (Global Climate Observing System) Reference Upper-Air Network (GRUAN) site at Lauder, New Zealand, has been developed. Data from multiple sources are combined within the SASBE to generate a high temporal resolution data set that includes an estimate of the uncertainty on every value. The SASBE has been developed to enhance the value of measurements made at the distributed GRUAN site at Lauder and Invercargill (about 180 km apart), and to demonstrate a methodology which can be adapted to other distributed sites. Within GRUAN, a distributed site consists of a cluster of instruments at different locations. The temperature SASBE combines measurements from radiosondes and automatic weather stations at Lauder and Invercargill, and ERA5 reanalysis, which is used to calculate a diurnal temperature cycle to which the SASBE converges in the absence of any measurements. The SASBE provides hourly temperature profiles at 16 pressure levels between the surface and 10 hPa for the years 1997 to 2012. Every temperature value has an associated uncertainty which is calculated by propagating the measurement uncertainties, the ERA5 ensemble standard deviations, and the ERA5 representativeness uncertainty through the retrieval chain. The SASBE has been long-term archived and is identified using the digital object identifier https://doi.org/10.5281/zenodo.1195779. The study demonstrates a method to combine data collected at distributed sites. The resulting best-estimate temperature data product for Lauder is expected to be valuable for satellite and model validation as measurements of atmospheric essential climate variables are sparse in the Southern Hemisphere. The SASBE could, for example, be used to constrain a radiative transfer model to provide top-of-the-atmosphere radiances with traceable uncertainty estimates.
Journal of Physics: Conference Series | 2015
Florian Kerber; Richard Querel; Bianca Neureiter
A Low Humidity and Temperature Profiling (LHATPRO) microwave radiometer, manufactured by Radiometer Physics GmbH (RPG),is used to monitor sky conditions over ESOs Paranal observatory in support of VLT science operations. The unit measures several channels across the strong water vapour emission line at 183 GHz, necessary for resolving the low levels of precipitable water vapour (PWV) that are prevalent on Paranal (median similar to 2.4 mm). The instrument consists of a humidity profiler (183-191 GHz),a temperature profiler (51-58 GHz),and an infrared camera (similar to 10 mu m) for cloud detection. We present a statistical analysis of the homogeneity of all-sky PWV using 24 months of PWV observations. The question we tried to address was whether PWV is homogeneous enough across the sky such that service mode observations with the VLT can routinely be conducted with a user-provided constraint for PWV measured at zenith. We find the PWV over Paranal to be remarkably homogeneous across the sky down to 27.5 degrees elevation with a median variation of 0.07 mm (rms). The homogeneity is a function of the absolute PWV but the relative variation is fairly constant at 2 to 3% (rms). Such variations will not be a significant issue for analysis of astronomical data. Users at ESO can specify PWV - measured at zenith - as an ambient constraint in service mode to enable, for instance, very demanding observations in the infrared. We conclude that in general it will not be necessary to add another observing constraint for PWV homogeneity to ensure integrity of observations. For demanding observations requiring very low PWV, where the relative variation is higher, the optimum support could be provided by observing with the LHATPRO in the same line-of-sight simultaneously. Such a mode of operations has already been tested but will have to be justified in terms of scientific gain before implementation can be considered. We plan to extend our analysis of PWV variations covering a larger parameters space for temporal and spatial resolution in the future. Also for climate studies such data sets will be relevant.
Atmospheric Chemistry and Physics | 2015
N. R. P. Harris; Birgit Hassler; Fiona Tummon; G. E. Bodeker; Daan Hubert; Irina Petropavlovskikh; Wolfgang Steinbrecht; J. Anderson; Pawan K. Bhartia; C. D. Boone; Sean M. Davis; D. A. Degenstein; Andy Delcloo; S. M. Frith; L. Froidevaux; Sophie Godin-Beekmann; Nicholas Jones; M. J. Kurylo; E. Kyrölä; Marko Laine; S T Leblanc; J.-C. Lambert; Ben Liley; Emmanuel Mahieu; Amanda C. Maycock; M. De Mazière; Alan Parrish; Richard Querel; Karen H. Rosenlof; Chris Roth
Atmospheric Chemistry and Physics | 2017
Wolfgang Steinbrecht; L. Froidevaux; R. Fuller; Ray Wang; J. Anderson; Chris Roth; Doug A. Degenstein; Robert Damadeo; Joe Zawodny; S. M. Frith; Richard D. McPeters; Pawan K. Bhartia; Jeannette D. Wild; Craig S. Long; Sean M. Davis; Karen H. Rosenlof; V. F. Sofieva; Kaley A. Walker; Nabiz Rahpoe; A. Rozanov; M. Weber; A. Laeng; Thomas von Clarmann; Gabriele P. Stiller; Natalya Kramarova; Sophie Godin-Beekmann; Thierry Leblanc; Richard Querel; D. P. J. Swart; Ian Boyd
Atmospheric Measurement Techniques | 2016
Tong Ning; Junhong Wang; Gunnar Elgered; Galina Dick; J Wickert; M Bradke; Michael Sommer; Richard Querel; Dan Smale
Atmospheric Measurement Techniques | 2017
Guanyu Huang; Xiong Liu; Kelly Chance; Kai Yang; Pawan K. Bhartia; Zhaonan Cai; M. Allaart; B. Calpini; Gerrie Coetzee; Emilio Cuevas-Agulló; Manuel Cupeiro; Hugo De Backer; Manvendra K. Dubey; Henry E. Fuelberg; Masatomo Fujiwara; Sophie Godin-Beekmann; Tristan J. Hall; Bryan J. Johnson; E. Joseph; Rigel Kivi; Bogumil Kois; Ninong Komala; Gert König-Langlo; Giovanni Laneve; Thierry Leblanc; Marion Marchand; K. Minschwaner; Gary A. Morris; Mike Newchurch; Shin-Ya Ogino
Atmospheric Measurement Techniques | 2016
Enno Peters; Gaia Pinardi; André Seyler; Andreas Richter; F. Wittrock; Tim Bösch; Michel Van Roozendael; F. Hendrick; Theano Drosoglou; A. F. Bais; Yugo Kanaya; X. Zhao; Kimberly Strong; Johannes Lampel; R. Volkamer; Theodore K. Koenig; Ivan Ortega; O. Puentedura; Mónica Navarro-Comas; Laura Gómez; Margarita Yela González; Ankie Piters; Julia Remmers; Yang Wang; Thomas Wagner; Shanshan Wang; Alfonso Saiz-Lopez; David García-Nieto; Carlos A. Cuevas; Nuria Benavent