Articles | Volume 2, issue 1
https://doi.org/10.5194/gi-2-61-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gi-2-61-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
New analysis software for Viking Lander meteorological data
O. Kemppinen
Earth Observation, Finnish Meteorological Institute, Helsinki, Finland
School of Science, Aalto University, Espoo, Finland
J. E. Tillman
Department of Atmospheric Sciences, University of Washington, Seattle, Washington, USA
W. Schmidt
Earth Observation, Finnish Meteorological Institute, Helsinki, Finland
A.-M. Harri
Earth Observation, Finnish Meteorological Institute, Helsinki, Finland
Related authors
Ari-Matti Harri, Konstantin Pichkadze, Lev Zeleny, Luis Vazquez, Walter Schmidt, Sergey Alexashkin, Oleg Korablev, Hector Guerrero, Jyri Heilimo, Mikhail Uspensky, Valery Finchenko, Vyacheslav Linkin, Ignacio Arruego, Maria Genzer, Alexander Lipatov, Jouni Polkko, Mark Paton, Hannu Savijärvi, Harri Haukka, Tero Siili, Vladimir Khovanskov, Boris Ostesko, Andrey Poroshin, Marina Diaz-Michelena, Timo Siikonen, Matti Palin, Viktor Vorontsov, Alexander Polyakov, Francisco Valero, Osku Kemppinen, Jussi Leinonen, and Pilar Romero
Geosci. Instrum. Method. Data Syst., 6, 103–124, https://doi.org/10.5194/gi-6-103-2017, https://doi.org/10.5194/gi-6-103-2017, 2017
Short summary
Short summary
Investigations of Mars – its atmosphere, surface and interior – require simultaneous, distributed in situ measurements. We have developed an innovative prototype of the Mars Network Lander (MNL), a small lander/penetrator with a 20 % payload mass fraction. MNL features an innovative Entry, Descent and Landing System to increase reliability and reduce the system mass. It is ideally suited for piggy-backing on spacecraft, for network missions and pathfinders for high-value landed missions.
Gi Young Jeong, Mi Yeon Park, Konrad Kandler, Timo Nousiainen, and Osku Kemppinen
Atmos. Chem. Phys., 16, 12397–12410, https://doi.org/10.5194/acp-16-12397-2016, https://doi.org/10.5194/acp-16-12397-2016, 2016
Short summary
Short summary
Individual Saharan dust particles were investigated by transmission electron microscopy of cross-sectional slices. We classified internal structures, and determined the volume of iron oxide included in the dust particles, the iron content of clay minerals, and the shape of the dust particles. The mineralogical and structural properties of single dust particles provide a basis for the modeling of dust optical properties and the supply of iron as a micronutrient to remote ocean ecosystem.
O. Kemppinen, T. Nousiainen, and G. Y. Jeong
Atmos. Chem. Phys., 15, 12011–12027, https://doi.org/10.5194/acp-15-12011-2015, https://doi.org/10.5194/acp-15-12011-2015, 2015
Short summary
Short summary
Internal structures are common in atmospheric dust particles, yet their effects on light scattering are largely unstudied. In this work, we study how hematite nodes, internal voids and hematite-rich coating impact single-scattering properties of computationally generated irregular model particles. The results show that all of these features change scattering properties significantly, and that a simple effective-medium approximation is not enough to replicate the scattering properties.
O. Kemppinen, T. Nousiainen, S. Merikallio, and P. Räisänen
Atmos. Chem. Phys., 15, 11117–11132, https://doi.org/10.5194/acp-15-11117-2015, https://doi.org/10.5194/acp-15-11117-2015, 2015
Short summary
Short summary
Combinations of simple mathematical model shapes called ellipsoids are used in many remote sensing and modeling applications to denote dust particles. In this study we investigate how accurately various physical parameters can be retrieved by using ellipsoids. The results show that using ellipsoids can lead to wrong results, while at the same time seeming like they work well. This means that extreme care should be used when using ellipsoids for dust, and extra validation measures should be used.
Maria Hieta, Iina Jaakonaho, Jouni Polkko, Andreas Lorek, Stephen Garland, Jean-Pierre de Vera, Maria Genzer, and Ari-Matti Harri
Geosci. Instrum. Method. Data Syst., 13, 337–351, https://doi.org/10.5194/gi-13-337-2024, https://doi.org/10.5194/gi-13-337-2024, 2024
Short summary
Short summary
This paper describes new humidity measurements performed with the humidity instruments of the MSL, Mars 2020 and ExoMars missions. Special facilities are needed to create Martian conditions, and a measurement campaign was performed at the German Aerospace Center (DLR) to obtain datasets for REMS-H, MEDA HS and METEO-H instruments. The results from the campaign improved the humidity data we receive from MEDA HS/Perseverance and can further improve the existing Martian relative humidity data.
Joonas Leino, Ari-Matti Harri, Mark Paton, Jouni Polkko, Maria Hieta, and Hannu Savijärvi
Ann. Geophys., 42, 331–348, https://doi.org/10.5194/angeo-42-331-2024, https://doi.org/10.5194/angeo-42-331-2024, 2024
Short summary
Short summary
The 1-D column model has been used extensively in studying the Martian atmosphere. In this study, we investigated the sensitivity of the column model to its initialization. The results of the model were compared with Curiosity rover measurements. The initial value of airborne dust and surface temperature had the greatest influence on the temperature prediction, while the initial atmospheric moisture content and the shape of the initial moisture profile modified the humidity prediction the most.
Walter Schmidt, Ari-Matti Harri, Timo Nousiainen, Harri Hohti, Lasse Johansson, Olli Ojanperä, Erkki Viitala, Jarkko Niemi, Jani Turpeinen, Erkka Saukko, Topi Rönkkö, and Pekka Lahti
Geosci. Instrum. Method. Data Syst., 9, 397–406, https://doi.org/10.5194/gi-9-397-2020, https://doi.org/10.5194/gi-9-397-2020, 2020
Short summary
Short summary
Combining short-time forecast models, standardized interfaces to a wide range of environment detectors and a flexible user access interface, CITYZER provides decision-making authorities and private citizens with reliable information about the near-future development of critical environmental parameters like air quality and rain. The system can be easily adapted to different areas or different parameters. Alarms for critical situations can be set and used to support authority decisions.
Mark Paton, Ari-Matti Harri, Oliver Vierkens, and Hannu Savijärvi
Geosci. Instrum. Method. Data Syst., 8, 251–263, https://doi.org/10.5194/gi-8-251-2019, https://doi.org/10.5194/gi-8-251-2019, 2019
Short summary
Short summary
A software application for streamlining investigations of the Martian atmosphere is described. The main components are a 1-D model of the Martian atmosphere, observations of the Martian atmosphere and a software wrapper. We verify our model using the application. The model and observations agree except over the winter solstice where mechanical heating of the atmosphere, from downward flowing air, is likely warming the atmosphere. We update our model to include this effect.
Tuomas Kynkäänniemi, Osku Kemppinen, Ari-Matti Harri, and Walter Schmidt
Geosci. Instrum. Method. Data Syst., 6, 217–229, https://doi.org/10.5194/gi-6-217-2017, https://doi.org/10.5194/gi-6-217-2017, 2017
Short summary
Short summary
The new wind reconstruction algorithm developed in this article extends the amount of available sols from the Viking Lander 1 (VL1) mission from 350 to 2245. The reconstruction of wind measurement data enables the study of both short-term phenomena, such as daily variations in wind conditions or dust devils, and long-term phenomena, such as the seasonal variations in Martian tides.
Ari-Matti Harri, Konstantin Pichkadze, Lev Zeleny, Luis Vazquez, Walter Schmidt, Sergey Alexashkin, Oleg Korablev, Hector Guerrero, Jyri Heilimo, Mikhail Uspensky, Valery Finchenko, Vyacheslav Linkin, Ignacio Arruego, Maria Genzer, Alexander Lipatov, Jouni Polkko, Mark Paton, Hannu Savijärvi, Harri Haukka, Tero Siili, Vladimir Khovanskov, Boris Ostesko, Andrey Poroshin, Marina Diaz-Michelena, Timo Siikonen, Matti Palin, Viktor Vorontsov, Alexander Polyakov, Francisco Valero, Osku Kemppinen, Jussi Leinonen, and Pilar Romero
Geosci. Instrum. Method. Data Syst., 6, 103–124, https://doi.org/10.5194/gi-6-103-2017, https://doi.org/10.5194/gi-6-103-2017, 2017
Short summary
Short summary
Investigations of Mars – its atmosphere, surface and interior – require simultaneous, distributed in situ measurements. We have developed an innovative prototype of the Mars Network Lander (MNL), a small lander/penetrator with a 20 % payload mass fraction. MNL features an innovative Entry, Descent and Landing System to increase reliability and reduce the system mass. It is ideally suited for piggy-backing on spacecraft, for network missions and pathfinders for high-value landed missions.
Gi Young Jeong, Mi Yeon Park, Konrad Kandler, Timo Nousiainen, and Osku Kemppinen
Atmos. Chem. Phys., 16, 12397–12410, https://doi.org/10.5194/acp-16-12397-2016, https://doi.org/10.5194/acp-16-12397-2016, 2016
Short summary
Short summary
Individual Saharan dust particles were investigated by transmission electron microscopy of cross-sectional slices. We classified internal structures, and determined the volume of iron oxide included in the dust particles, the iron content of clay minerals, and the shape of the dust particles. The mineralogical and structural properties of single dust particles provide a basis for the modeling of dust optical properties and the supply of iron as a micronutrient to remote ocean ecosystem.
J. Köhler, R. F. Wimmer-Schweingruber, J. Appel, B. Ehresmann, C. Zeitlin, D. M. Hassler, G. Reitz, D. E. Brinza, S. Böttcher, E. Böhm, S. Burmeister, J. Guo, A.-M. Harri, H. Kahanpää, J. Krauss, H. Lohf, C. Martin, D. Matthiä, A. Posner, and S. Rafkin
Ann. Geophys., 34, 133–141, https://doi.org/10.5194/angeo-34-133-2016, https://doi.org/10.5194/angeo-34-133-2016, 2016
Short summary
Short summary
The Radiation Assessment Detector (RAD), on board the Mars Science Laboratory (MSL) rover Curiosity, measures the energetic charged and neutral particles and the radiation dose rate on the surface of Mars. In this work we compare predicted electron/positron spectra with the signal measured by RAD.
We find that the RAD electron/positron measurements agree well with the spectra predicted by Planetocosmics.
O. Kemppinen, T. Nousiainen, and G. Y. Jeong
Atmos. Chem. Phys., 15, 12011–12027, https://doi.org/10.5194/acp-15-12011-2015, https://doi.org/10.5194/acp-15-12011-2015, 2015
Short summary
Short summary
Internal structures are common in atmospheric dust particles, yet their effects on light scattering are largely unstudied. In this work, we study how hematite nodes, internal voids and hematite-rich coating impact single-scattering properties of computationally generated irregular model particles. The results show that all of these features change scattering properties significantly, and that a simple effective-medium approximation is not enough to replicate the scattering properties.
O. Kemppinen, T. Nousiainen, S. Merikallio, and P. Räisänen
Atmos. Chem. Phys., 15, 11117–11132, https://doi.org/10.5194/acp-15-11117-2015, https://doi.org/10.5194/acp-15-11117-2015, 2015
Short summary
Short summary
Combinations of simple mathematical model shapes called ellipsoids are used in many remote sensing and modeling applications to denote dust particles. In this study we investigate how accurately various physical parameters can be retrieved by using ellipsoids. The results show that using ellipsoids can lead to wrong results, while at the same time seeming like they work well. This means that extreme care should be used when using ellipsoids for dust, and extra validation measures should be used.
E. Nielsen and W. Schmidt
Hist. Geo Space. Sci., 5, 63–72, https://doi.org/10.5194/hgss-5-63-2014, https://doi.org/10.5194/hgss-5-63-2014, 2014
M. D. Paton, A.-M. Harri, T. Mäkinen, and H. Savijärvi
Geosci. Instrum. Method. Data Syst., 2, 17–27, https://doi.org/10.5194/gi-2-17-2013, https://doi.org/10.5194/gi-2-17-2013, 2013
Related subject area
Data quality
Airborne electromagnetic data levelling based on the structured variational method
Upgrade of LSA-SAF Meteosat Second Generation daily surface albedo (MDAL) retrieval algorithm incorporating aerosol correction and other improvements
Swarm Langmuir probes' data quality validation and future improvements
Evaluating methods for reconstructing large gaps in historic snow depth time series
Production of definitive data from Indonesian geomagnetic observatories
Auroral classification ergonomics and the implications for machine learning
Artifacts from manganese reduction in rock samples prepared by focused ion beam (FIB) slicing for X-ray microspectroscopy
The influence of sample geometry on the permeability of a porous sandstone
The operator difference in absolute geomagnetic measurements
One second vector and scalar magnetic measurements at the low-latitude Choutuppal (CPL) magnetic observatory
Data quality control and tools in passive seismic experiments exemplified on the Czech broadband seismic pool MOBNET in the AlpArray collaborative project
Time-stamp correction of magnetic observatory data acquired during unavailability of time-synchronization services
Stability analysis of geomagnetic baseline data obtained at Cheongyang observatory in Korea
European UV DataBase (EUVDB) as a repository and quality analyser for solar spectral UV irradiance monitored in Sodankylä
Bed conduction impact on fiber optic distributed temperature sensing water temperature measurements
A framework for benchmarking of homogenisation algorithm performance on the global scale
Innovations and applications of the VERA quality control
Qiong Zhang, Xin Chen, Zhonghang Ji, Fei Yan, Zhengkun Jin, and Yunqing Liu
Geosci. Instrum. Method. Data Syst., 13, 193–203, https://doi.org/10.5194/gi-13-193-2024, https://doi.org/10.5194/gi-13-193-2024, 2024
Short summary
Short summary
In an airborne survey, dynamic flight conditions cause unequal data levels, which have a serious impact on airborne geophysical data analysis and interpretation. A new technique is proposed to level geophysical data, and we confirm the reliability of the method by applying it to magnetic data and apparent conductivity data. The method can automatically extract the levelling errors without the participation of staff members or tie line control.
Daniel Juncu, Xavier Ceamanos, Isabel F. Trigo, Sandra Gomes, and Sandra C. Freitas
Geosci. Instrum. Method. Data Syst., 11, 389–412, https://doi.org/10.5194/gi-11-389-2022, https://doi.org/10.5194/gi-11-389-2022, 2022
Short summary
Short summary
MDAL is a near real-time, satellite-based surface albedo product based on the geostationary Meteosat Second Generation mission. We propose an update to the processing algorithm that generates MDAL and evaluate the results of these changes through comparison with the pre-update, currently operational MDAL product as well as reference data using different satellite-based albedo products and in situ measurements. We find that the update provides a valuable improvement.
Filomena Catapano, Stephan Buchert, Enkelejda Qamili, Thomas Nilsson, Jerome Bouffard, Christian Siemes, Igino Coco, Raffaella D'Amicis, Lars Tøffner-Clausen, Lorenzo Trenchi, Poul Erik Holmdahl Olsen, and Anja Stromme
Geosci. Instrum. Method. Data Syst., 11, 149–162, https://doi.org/10.5194/gi-11-149-2022, https://doi.org/10.5194/gi-11-149-2022, 2022
Short summary
Short summary
The quality control and validation activities performed by the Swarm data quality team reveal the good-quality LPs. The analysis demonstrated that the current baseline plasma data products are improved with respect to previous baseline. The LPs have captured the ionospheric plasma variability over more than half of a solar cycle, revealing the data quality dependence on the solar activity. The quality of the LP data will further improve promotion of their application to a broad range of studies.
Johannes Aschauer and Christoph Marty
Geosci. Instrum. Method. Data Syst., 10, 297–312, https://doi.org/10.5194/gi-10-297-2021, https://doi.org/10.5194/gi-10-297-2021, 2021
Short summary
Short summary
Methods for reconstruction of winter long data gaps in snow depth time series are compared. The methods use snow depth data from neighboring stations or calculate snow depth from temperature and precipitation data. All methods except one are able to reproduce the average snow depth and maximum snow depth in a winter reasonably well. For reconstructing the number of snow days with snow depth ≥ 1 cm, results suggest using a snow model instead of relying on data from neighboring stations.
Relly Margiono, Christopher W. Turbitt, Ciarán D. Beggan, and Kathryn A. Whaler
Geosci. Instrum. Method. Data Syst., 10, 169–182, https://doi.org/10.5194/gi-10-169-2021, https://doi.org/10.5194/gi-10-169-2021, 2021
Short summary
Short summary
We have produced a standardised high-quality set of measurements to create definitive data for four Indonesian Geomagnetic Observatories for 2010–2018. We explain the steps taken to update the existing data collection and processing protocols and suggest improvements to further enhance the quality of the magnetic time series at each observatory. The new data will fill the gap in the western Pacific region and provide input into geomagnetic field modeling and secular variation studies.
Derek McKay and Andreas Kvammen
Geosci. Instrum. Method. Data Syst., 9, 267–273, https://doi.org/10.5194/gi-9-267-2020, https://doi.org/10.5194/gi-9-267-2020, 2020
Short summary
Short summary
Researchers are making increasing use of machine learning to improve accuracy, efficiency and consistency. During such a study of the aurora, it was noted that biases or distortions had crept into the data because of the conditions (or ergonomics) of the human trainers. As using machine-learning techniques in auroral research is relatively new, it is critical that such biases are brought to the attention of the academic and citizen science communities.
Dorothea S. Macholdt, Jan-David Förster, Maren Müller, Bettina Weber, Michael Kappl, A. L. David Kilcoyne, Markus Weigand, Jan Leitner, Klaus Peter Jochum, Christopher Pöhlker, and Meinrat O. Andreae
Geosci. Instrum. Method. Data Syst., 8, 97–111, https://doi.org/10.5194/gi-8-97-2019, https://doi.org/10.5194/gi-8-97-2019, 2019
Short summary
Short summary
Focused ion beam (FIB) slicing is a widely used technique to prepare ultrathin slices for the microanalysis of geological and environmental samples. During our investigations of the manganese oxidation states in rock varnish slices, we found an FIB-related reduction of manganese(IV) to manganese(II) at the samples’ surfaces. This study characterizes the observed reduction artifacts and emphasizes that caution is needed in the analysis of transition metal oxidation states upon FIB preparation.
Michael J. Heap
Geosci. Instrum. Method. Data Syst., 8, 55–61, https://doi.org/10.5194/gi-8-55-2019, https://doi.org/10.5194/gi-8-55-2019, 2019
Short summary
Short summary
To better understand the influence of sample geometry on laboratory measurements of permeability, the permeabilities of sandstone samples with different lengths and diameters were measured. Despite the large range in length, aspect ratio, and volume, the permeabilities of the samples are near identical. This is due to a homogeneous porosity structure and the small grain/pore size with respect to the minimum tested diameter and length. More tests are now needed to help develop such guidelines.
Yufei He, Xudong Zhao, Jianjun Wang, Fuxi Yang, Xijing Li, Changjiang Xin, Wansheng Yan, and Wentong Tian
Geosci. Instrum. Method. Data Syst., 8, 21–27, https://doi.org/10.5194/gi-8-21-2019, https://doi.org/10.5194/gi-8-21-2019, 2019
Nelapatla Phani Chandrasekhar, Sai Vijay Kumar Potharaju, Kusumita Arora, Chandra Shakar Rao Kasuba, Leonid Rakhlin, Sergey Tymoshyn, Laszlo Merenyi, Anusha Chilukuri, Jayashree Bulusu, and Sergey Khomutov
Geosci. Instrum. Method. Data Syst., 6, 547–560, https://doi.org/10.5194/gi-6-547-2017, https://doi.org/10.5194/gi-6-547-2017, 2017
Short summary
Short summary
This work presents the progressive steps which led to the successful setup of such measurements at the new magnetic observatory in Choutuppal (CPL) of CSIR-NGRI, Hyderabad, India. Iterative tuning of the setup led to the generation of good quality data from 2016 onward. The processes of commissioning this setup in low-latitude conditions, with the aim of producing 1 s definitive data, and the characteristics of the data from this new instrument are presented here.
Luděk Vecsey, Jaroslava Plomerová, Petr Jedlička, Helena Munzarová, Vladislav Babuška, and the AlpArray working group
Geosci. Instrum. Method. Data Syst., 6, 505–521, https://doi.org/10.5194/gi-6-505-2017, https://doi.org/10.5194/gi-6-505-2017, 2017
Short summary
Short summary
This paper focuses on major issues related to data reliability and MOBNET network performance in the AlpArray seismic experiments. We present both new hardware and software tools that help to assure the high-quality standard of broadband seismic data. Special attention is paid to issues like a detection of sensor misorientation, timing problems, exchange of record components and/or their polarity reversal, sensor mass centring, or anomalous channel amplitudes due to imperfect gain.
Pierdavide Coïsson, Kader Telali, Benoit Heumez, Vincent Lesur, Xavier Lalanne, and Chang Jiang Xin
Geosci. Instrum. Method. Data Syst., 6, 311–317, https://doi.org/10.5194/gi-6-311-2017, https://doi.org/10.5194/gi-6-311-2017, 2017
Short summary
Short summary
Data loggers of magnetic observatories use GPS receivers to provide accurate time stamping of recorded data. Typical sampling rate is 1 s. A failure of the GPS receiver can result in erroneous time stamps. The observatory of Lanzhou, China, accumulated a lag of 28 s over 1 year. Using magnetic data recorded at other locations in a radius of 3000 km it was possible to estimate the diurnal lag and correct the time tamps to produce reliable 1 min averages of magnetic data.
Shakirah M. Amran, Wan-Seop Kim, Heh Ree Cho, and Po Gyu Park
Geosci. Instrum. Method. Data Syst., 6, 231–238, https://doi.org/10.5194/gi-6-231-2017, https://doi.org/10.5194/gi-6-231-2017, 2017
Short summary
Short summary
In this work, we analysed the Cheongyang geomagnetic baseline data from 2014 to 2016. We observed a step of more than 5 nT in the H and Z baseline in 2014 and 2015 due to artificial magnetic noise in the absolute hut. The baseline also shows a periodic modulation due to temperature variations in the fluxgate magnetometer hut. The quality of the baselines was improved by correcting the discontinuity in the H and Z baselines.
Anu Heikkilä, Jussi Kaurola, Kaisa Lakkala, Juha Matti Karhu, Esko Kyrö, Tapani Koskela, Ola Engelsen, Harry Slaper, and Gunther Seckmeyer
Geosci. Instrum. Method. Data Syst., 5, 333–345, https://doi.org/10.5194/gi-5-333-2016, https://doi.org/10.5194/gi-5-333-2016, 2016
Short summary
Short summary
Solar spectral UV irradiance data measured by the Brewer #037 spectroradiometer in Sodankylä, Finland, in 1990–2014 were examined for their quality flags given by the quality assurance (QA) tools of the European UV DataBase (EUVDB). Statistical analysis on the flags was performed, and five cases were investigated in detail. The results can be used in further development of the quality control/QA tools and selection of cases of exceptional atmospheric conditions for process studies.
T. O'Donnell Meininger and J. S. Selker
Geosci. Instrum. Method. Data Syst., 4, 19–22, https://doi.org/10.5194/gi-4-19-2015, https://doi.org/10.5194/gi-4-19-2015, 2015
K. Willett, C. Williams, I. T. Jolliffe, R. Lund, L. V. Alexander, S. Brönnimann, L. A. Vincent, S. Easterbrook, V. K. C. Venema, D. Berry, R. E. Warren, G. Lopardo, R. Auchmann, E. Aguilar, M. J. Menne, C. Gallagher, Z. Hausfather, T. Thorarinsdottir, and P. W. Thorne
Geosci. Instrum. Method. Data Syst., 3, 187–200, https://doi.org/10.5194/gi-3-187-2014, https://doi.org/10.5194/gi-3-187-2014, 2014
D. Mayer, A. Steiner, and R. Steinacker
Geosci. Instrum. Method. Data Syst., 1, 135–149, https://doi.org/10.5194/gi-1-135-2012, https://doi.org/10.5194/gi-1-135-2012, 2012
Cited articles
Buehler, G. D.: SD-37P0011A Viking'75 Project Program Description Document For The Meteorology Analysis Program (SANMET), Project documentation, National Aeronautics and Space Administration (NASA), 1974a.
Buehler, G. D.: SD-37U0011A Viking'75 Project Users Guide For The Meteorology Analysis Program (SANMET), Project documentation, National Aeronautics and Space Administration (NASA), 1974b.
Chamberlain, T. E., Cole, H. L., Dutton, R. G., Greene, G. C., and Tillman, J. E.: Atmospheric Measurements on Mars: The {V}iking Meteorology Experiment, B. Am. Meteorol. Soc., 57, 1094–1104, 1976.
Golombek, M. P., Anderson, R. C., Barnes, J. R., Bell III, J. F., Bridges, N. T., Britt, D. T., Br{ü}ckner, J., Cook, R. A., Crisp, D., Crisp, J., Economou, T., Folkner, W. M., Greeley, R., Haberle, R. M., Hargraves, R. B., Harris, J. A., Haldemann, A. F. C., Herkenhoff, K. E., Hviid, S. F., Jaumann, R., Johnson, J. R., Kallemeyn, P. H., Keller, H. U., Kirk , R. L., Knudsen, J. M., Larsen, S., Lemmon, M., Madsen, M. B., Magalhães, J. A., Maki, J. N., Malin, M. C., Manning, R. M., Matijevic, J., Y. McSween Jr. and H. J. Moore and S. L. Murchie and J. R. Murphy and T. Parker, H. J., Rieder, R., Rivellini, T. P., Schofield, J. T., Seiff, A., Singer, R., Smith, P. H., Soderblom, L. A., Spencer, D. A., Stoker, C., Sullivan, R., Thomas, N., Thurman, S. W., Tomasko, M. G., Vaughan, R. M., W{ä}nke, H., Ward, W., and Wilson, G.: Overview of the Mars Pathfinder Mission: Launch through landing, surface operations, data sets, and science results, J. Geophys. Res., 104, 8523–8553, 1999.
Harri, A.-M., Linkin, V., Polkko, J., Marov, M., Pommereau, J.-P., Lipatov, A., Siili, T., Manuilov, K., Lebedey, V., Lehto, A., Pellinen, R., Pirjola, R., Carpentier, T., Malique, C., Makarov, V., Khloustova, L., Esposito, L., Maki, J., Lawrence, G., and Lystsev, V.: Meteorological observations on Martian surface : met-packages of Mars-96 Small Stations and Penetrators, Planet. Space Sci., 46, 779–793, https://doi.org/10.1016/S0032-0633(98)00012-9, 1998.
Linkin, V., Harri, A.-M., Lipatov, A., Belostotskaja, K., Derbunovich, B., Ekonomov, A., Khloustova, L., Kremnev, R., Makarov, V., Martinov, B., Nenarokov, D., Prostov, M., Pustovalov, A., Shustko, G., J{ä}rvinen, I., Kivilinna, H., Korpela, S., Kumpulainen, K., Lehto, A., Pellinen, R., Pirjola, R., Riihel{ä}, P., Salminen, A., Schmidt, W., Siili, T., Blamont, J., Carpentier, T., Debus, A., Hua, C. T., Karczewski, J.-F., Laplace, H., Levacher, P., Lognonn{é}, P., Malique, C., Menvielle, M., Mouli, G., Pommereau, J.-P., Quotb, K., Runavot, J., Vienne, D., Grunthaner, F., Kuhnke, F., Musmann, G., Rieder, R., W{ä}nke, H., Economou, T., Herring, M., Lane, A., and McKay, C. P.: A sophisticated lander for scientific exploration of Mars: scientific objectives and implementation of the Mars-96 Small Station, Planet. Space Sci., 46, 717–737, https://doi.org/10.1016/S0032-0633(98)00008-7, 1998.
Savij{ärvi}, H., M{ä}{ä}tt{ä}nen, A., Kauhanen, J., and Harri, A.-M.: Mars Pathfinder: New data and new model simulations, Q. J. Roy. Meteorol. Soc., 130, 669–683, https://doi.org/10.1256/qj.03.59, 2004.
Savij{ärvi}, H., Crisp, D., and Harri, A.-M.: Effects of CO2 and dust on present-day solar radiation and climate on Mars, Q. J. Roy. Meteorol. Soc., 131, 2907–2922, https://doi.org/10.1256/qj.04.09, 2005.
Shotwell, R.: Phoenix – the first {M}ars {S}cout mission, Acta Astronaut., 57, 121–134, 2005.
Smith, M. D., Wolff, M. J., Spanovich, N., Ghosh, A., Banfield, D., Christensen, P. R., Landis, G. A., and Squyres, S. W.: One M}artian year of atmospheric observations using MER {M}ini-{TES, J. Geophys. Res., 111, E12S13, https://doi.org/10.1029/2006JE002770, 2006.
Snyder, C. W.: The Missions of the {V}iking Orbiters, J. Geophys. Res., 82, 3971–3983, 1977.
Soffen, G. A.: The {V}iking Project, J. Geophys. Res., 82, 3959–3970, 1977.
Taylor, P. A., Catling, D. C., Daly, M., Dickinson, C. S., Gunnlaugsson, H. P., Harri, A.-M., and Lange, C. F.: Temperature, pressure, and wind instrumentation in the Phoenix meteorological package, J. Geophys. Res.-Planets, 113, E00A10, https://doi.org/10.1029/2007JE003015, 2008.
Taylor, P. A., Kahanp{ä}{ä}, H., Weng, W., Akingunola, A., Cook, C., Daly, M., Dickinson, C., Harri, A.-M., Hill, D., Hipkin, V., Polkko, J., and Whiteway, J.: On pressure measurement and seasonal pressure variations during the Phoenix mission, J. Geophys. Res.-Planets, 115, E00E15, https://doi.org/10.1029/2009JE003422, 2010.
Tillman, J. E., Johnson, N. C., and Smith, R. E.: The {V}iking Lander Master Data Record: Tape archives, engineering data processing and science data recovery, rev. 2, Project documentation, Department of Atmospheric Sciences, University of Washington, 1988.
Tillman, J. E., Landberg, L., and Larsen, S. E.: The boundary layer of {M}ars: Fluxes, stability, turbulent spectra, and growth of the mixed layer, J. Atmos. Sci., 51, 1709–1727, 1994.
Williams, D. R.: {V}iking Project Information, available at: http://nssdc.gsfc.nasa.gov/planetary/viking.html, last access: 30 May 2011.