Rigel Kivi

Finnish Meteorological Institute

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Kimberly Strong

University of Toronto

Justus Notholt

University of Bremen

Ralf Sussmann

Karlsruhe Institute of Technology

Frank Hase

Karlsruhe Institute of Technology

Isamu Morino

National Institute for Environmental Studies

Nicholas M. Deutscher

University of Wollongong

Voltaire A. Velazco

German Meteorological Service

E. Kyrö

Finnish Meteorological Institute

Thorsten Warneke

University of Bremen

Debra Wunch

University of Toronto

Cooperative Institutions

Centre National de la Recherche Scientifique

161

Finnish Meteorological Institute

101

Jet Propulsion Laboratory

University of Colorado Boulder

NSF National Center for Atmospheric Research

National Oceanic and Atmospheric Administration

Cooperative Institute for Research in Environmental Sciences

Karlsruhe Institute of Technology

California Institute of Technology

University of Bremen

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Water vapour variability and trends in the Arctic stratosphere

EGU General Assembly Conference Abstracts (2014)

Laura Thölix Rigel Kivi Leif Backman Alexey Yu. Karpechko

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The GGG2020 TCCON Data Product

Joshua L. Laughner Geoffrey C. Toon Debra Wunch Sébastien Roche Joseph Mendonca

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Lidar algorithm comparison of PSC measurements at Ny-Ålesund, Sodankylae and ALOMAR

Kerstin Stebel Marion Müller G. Hansen Roland Neuber Rigel Kivi

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Bias corrections of GOSAT SWIR XCO2 and XCH4 with TCCON data and their evaluation using aircraft measurement data

Atmospheric measurement techniques (2016)

M. Inoue Isamu Morino Osamu Uchino Takahiro Nakatsuru Yukio Yoshida

Abstract. We describe a method for removing systematic biases of column-averaged dry air mole fractions of CO2 (XCO2) and CH4 (XCH4) derived from short-wavelength infrared (SWIR) spectra of the Greenhouse gases Observing SATellite (GOSAT). We conduct correlation analyses between the GOSAT biases and simultaneously retrieved auxiliary parameters. We use these correlations to bias correct the GOSAT data, removing these spurious correlations. Data from the Total Carbon Column Observing Network (TCCON) were used as reference values for this regression analysis. To evaluate the effectiveness of this correction method, the uncorrected/corrected GOSAT data were compared to independent XCO2 and XCH4 data derived from aircraft measurements taken for the Comprehensive Observation Network for TRace gases by AIrLiner (CONTRAIL) project, the National Oceanic and Atmospheric Administration (NOAA), the US Department of Energy (DOE), the National Institute for Environmental Studies (NIES), the Japan Meteorological Agency (JMA), the HIAPER Pole-to-Pole observations (HIPPO) program, and the GOSAT validation aircraft observation campaign over Japan. These comparisons demonstrate that the empirically derived bias correction improves the agreement between GOSAT XCO2/XCH4 and the aircraft data. Finally, we present spatial distributions and temporal variations of the derived GOSAT biases.

10.5194/amt-9-3491-2016

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Citations (70)

Total ozone loss during the 2019/20 Arctic winter and comparison to previous years

F. Goutail Jean‐Pierre Pommereau Andréa Pazmiño Franck Lefèvre Cathy Clerbaux

The amplitude of ozone depletion in the Arctic is monitored every year since 1990 by comparison between total ozone measurements of SAOZ / NDACC UV-Vis spectrometers deployed in the Arctic and 3-D chemical transport model simulations in which ozone is considered as a passive tracer.When SAOZ measurements are missing for various reasons, lack of sunlight, station closed or instrument failure, they are replaced since 2017 by IASI/Metop overpasses above the station. These measurements in the thermal Infrared are available all year around, at all latitudes even in the polar night. IASI data have been compared to SAOZ and to 3-D CTM REPROBUS and the agreement is better than 3% at the latitude of the polar circle.The method allows determining the evolution of the daily rate of the ozone destruction and the amplitude of the cumulative loss at the end of the winter. The amplitude of the destruction varies between 0-10% in relatively warm and short vortex duration years up to 25-39% in colder and longer ones.Since a strong and large vortex centred at the North Pole, PSCs and activated chlorine are still present at all levels in the lower stratosphere on January 9, 2020, there is a good probability that a significant O3 loss may happen in 2020. But since, as shown by the unprecedented depletion of 39% in 2010/11, the loss depends on the vortex duration, strength and possible re-noxification, it is difficult to predict in advance the amplitude of the cumulative loss at the end of the winter.Shown in this presentation will be the evolution of ozone loss and re-noxification in the Arctic vortex during the winter 2019/20 compared to previous winters and REPROBUS and SLIMCAT CTM simulations.

Ozone Depletion

10.5194/egusphere-egu2020-3571

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Supplementary material to "Combined UV and IR ozone profile retrieval from TROPOMI and CrIS measurements"

Nora Mettig Mark Weber Alexei Rozanov John P. Burrows Pepijn Veefkind

10.5194/amt-2021-412-supplement

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The Total Carbon Column Observing Network's GGG2020 data version

Earth system science data (2024)

Joshua L. Laughner Geoffrey C. Toon Joseph Mendonca Christof Petri Sébastien Roche

Abstract. The Total Carbon Column Observing Network (TCCON) measures column-average mole fractions of several greenhouse gases (GHGs), beginning in 2004, from over 30 current or past measurement sites around the world using solar absorption spectroscopy in the near-infrared (near-IR) region. TCCON GHG data have been used extensively for multiple purposes, including in studies of the carbon cycle and anthropogenic emissions, as well as to validate and improve observations from space-based sensors. Here, we describe an update to the retrieval algorithm used to process the TCCON near-IR solar spectra and to generate the associated data products. This version, called GGG2020, was initially released in April 2022. It includes updates and improvements to all steps of the retrieval, including but not limited to the conversion of the original interferograms into spectra, the spectroscopic information used in the column retrieval, post hoc air mass dependence correction, and scaling to align with the calibration scales of in situ GHG measurements. All TCCON data are available through https://tccondata.org/ (last access: 22 April 2024) and are hosted on CaltechDATA (https://data.caltech.edu/, last access: 22 April 2024). Each TCCON site has a unique DOI for its data record. An archive of all the sites' data is also available with the DOI https://doi.org/10.14291/TCCON.GGG2020 (Total Carbon Column Observing Network (TCCON) Team, 2022). The hosted files are updated approximately monthly, and TCCON sites are required to deliver data to the archive no later than 1 year after acquisition. Full details of data locations are provided in the “Code and data availability” section.

10.5194/essd-16-2197-2024

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Ozone profiles above Kiruna from two ground-based radiometers

Atmospheric measurement techniques (2016)

Niall J Ryan K. A. Walker Uwe Raffalski Rigel Kivi Jochen Groß

Abstract. This paper presents new atmospheric ozone concentration profiles retrieved from measurements made with two ground-based millimetre-wave radiometers in Kiruna, Sweden. The instruments are the Kiruna Microwave Radiometer (KIMRA) and the Millimeter wave Radiometer 2 (MIRA 2). The ozone concentration profiles are retrieved using an optimal estimation inversion technique, and they cover an altitude range of ∼ 16–54 km, with an altitude resolution of, at best, 8 km. The KIMRA and MIRA 2 measurements are compared to each other, to measurements from balloon-borne ozonesonde measurements at Sodankylä, Finland, and to measurements made by the Microwave Limb Sounder (MLS) aboard the Aura satellite. KIMRA has a correlation of 0.82, but shows a low bias, with respect to the ozonesonde data, and MIRA 2 shows a smaller magnitude low bias and a 0.98 correlation coefficient. Both radiometers are in general agreement with each other and with MLS data, showing high correlation coefficients, but there are differences between measurements that are not explained by random errors. An oscillatory bias with a peak of approximately ±1 ppmv is identified in the KIMRA ozone profiles over an altitude range of ∼ 18–35 km, and is believed to be due to baseline wave features that are present in the spectra. A time series analysis of KIMRA ozone for winters 2008–2013 shows the existence of a local wintertime minimum in the ozone profile above Kiruna. The measurements have been ongoing at Kiruna since 2002 and late 2012 for KIMRA and MIRA 2, respectively.

Microwave Limb Sounder

Microwave radiometer

10.5194/amt-9-4503-2016

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Dehydration and sedimentation of ice particles in the Arctic stratospheric vortex

Geophysical Research Letters (1997)

Holger Vömel Markku Rummukainen Rigel Kivi Juha Karhu Timo Turunen

Balloon borne frost‐point hygrometers and backscatter sondes were launched at Sodankylä, Finland in January and February of 1996. These instruments measure water vapor and the backscatter ratio of light due to polar stratospheric clouds in the Arctic stratospheric vortex. Here we report the results of a hygrometer sonde and a backscatter sonde launched within 3.5 hours of each other on January 22/23. Together these soundings show a strong loss of water vapor due to the formation of ice clouds as a result of record cold temperatures in the Arctic stratosphere. The separation of the upper edge of the layer showing water vapor loss and the upper edge of the PSC layer indicates sedimentation of the ice particle layer, possibly leading to a permanent dehydration in the upper part of the layer exhibiting water vapor loss.

Hygrometer

Frost (temperature)

Ice cloud

10.1029/97gl00668

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Citations (56)

Ozone Proﬁle Retrieval from nadir TROPOMI measurements in the UV range

Nora Mettig Mark Weber Alexei Rozanov Carlo Arosio John P. Burrows

Abstract. The TOPAS algorithm to retrieve vertical profiles of ozone from space-borne observations in nadir viewing geometry has been developed at the Institute of Environmental Physics (IUP) of the University of Bremen and applied to TROPOMI L1B spectral data version 2. The spectral data between 270 and 329 nm are used for the retrieval. A re-calibration of the measured radiances is done using ozone profiles from MLS/Aura. Studies with synthetic spectra show that individual profiles in the stratosphere can be retrieved with the accuracy of about 10 %. In the troposphere, the retrieval errors are larger depending on the a-priori profile used. The vertical resolution above 18 km is about 6–10 km and it degrades to 15–25 km below. The vertical resolution in the troposphere is strongly dependent on the solar zenith angle (SZA). The ozone profiles retrieved from TROPOMI with the TOPAS algorithm were validated using data from ozone sondes and stratospheric ozone lidars. Above 18 km, the comparison with sondes shows excellent agreement within less than ±5 % for all latitudes. The standard deviation of mean differences is about 10 %. Below 18 km, the relative mean deviation in the tropics and northern latitudes is still quite good remaining within ±20 %. At southern latitudes larger differences of up to +40 % occur between 10 and 15 km. The standard deviation is about 50 % between 7–18 km and about 25 % below 7 km. The validation of stratospheric ozone profiles with ground-based lidar measurements also shows very good agreement. The relative mean deviation is below ±5 % between 18–45 km with a standard deviation of 10 %. TOPAS retrieval results for one day of TROPOMI observations were compared to MLS and OMPS-LP data. The relative mean difference was found to be largely below ±5 % between 20–50 km with exception of very high latitudes.

Zenith

Nadir

Albedo (alchemy)

Tropospheric ozone

Solar zenith angle

SCIAMACHY

10.5194/amt-2021-32

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Citations (1)