Publications
2023, Farhani, G., Martucci, G., Roberts, T., Haefele, A., Sica, R.J., A Bayesian neural network approach for tropospheric temperature retrievals from a lidar instrument, International Journal of Remote Sensing, 44:5, 1611-1627, http://doi.org/10.1080/01431161.2023.2187723
Tags: Algorithm, Lidar, Temperature
2022, Trieu, T.T.N., I. Morino, O. Uchino, Y. Tsutsumi, T. Sakai, T. Nagai, A. Yamazaki, H. Okumura, K. Arai, K. Shiomi, D.F. Pollard, B. Liley , Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data, International Journal of Remote Sensing, 43:5, 1770-1799, https://doi.org/10.1080/01431161.2022.2038395
Tags: Aerosol, Clouds, FTIR, Lidar, Satellite, UVVis, XCH4, XCO2
2020, Dirksen, R.J., G. E. Bodeker, P. W. Thorne, A. Merlone, T. Reale, J. Wang, D. F. Hurst, B. B. Demoz, T. D. Gardiner, B. Ingleby, M. Sommer, C. von Rohden, and T. Leblanc, Managing the transition from Vaisala RS92 to RS41 radiosondes within the Global Climate Observing System Reference Upper-Air Network (GRUAN): a progress report, Geoscientific Instrumentation, Methods and Data Systems, 9(2), 337–355, https://doi.org/10.5194/gi-9-337-2020
Tags: H2O, Sonde
2020, Polyakov, A., Y. Virolainen, A. Poberovskiy, M. Makarova and Y. Timofeyev, Atmospheric HCFC-22 total columns near St. Petersburg: stabilization with start of a decrease, International Journal of Remote Sensing, 41(11), 4365-4371, https://doi.org/10.1080/01431161.2020.1717668
Tags: FTIR, HCFC-22, Trends
2020, Sterckx, S., Ian Brown, Andreas Kääb, Maarten Krol, Rosemary Morrow, Pepijn Veefkind, K. Folkert Boersma, Martine De Mazière, Nigel Fox & Peter Thorne, Towards a European Cal/Val service for earth observation, International Journal of Remote Sensing, 41:12, 4496-4511, https://doi.org/10.1080/01431161.2020.1718240
Tags: FTIR, Validation
2020, Philipona, R., A. Kräuchi, R. Kivi, T. Peter, M. Wild, R. Dirksen, M. Fujiwara, M. Sekiguchi, D.F. Hurst, and R. Becker, Balloon-borne radiation measurements demonstrate radiative forcing by water vapor and clouds, Meteorologische Zeitschrift, 29(6), 501–509, https://doi.org/10.1127/metz/2020/1044
Tags: Sonde, H2O
2020, Gierens, K., L. Wilhelm, M. Sommer, and D. Weaver, On ice supersaturation over the Arctic, Meteorologische Zeitschrift, 29(2), 165–176, https://doi.org/10.1127/metz/2020/1012
Tags: Sonde, H2O
2019, Garcia, R.D., Cuevas, E., Ramos, R., Cachorro, V. E., Redondas, A., and Moreno-Ruiz, J. A., Description of the Baseline Surface Radiation Network (BSRN) station at the Izaña Observatory (2009– 2017): measurements and quality control/assurance procedures, Geoscientific Instrumentation, Methods and Data Systems, 8, 77-96, https://doi.org/10.5194/gi-8-77-2019
Tags: Brewer, Sonde, Validation
2018, Seckmeyer, G., Mustert C., Schrempf M., McKenzie R.L., Liley B.J., Kotkamp M., Bais A.F., Gillotay D., Slaper H., Siani AM., Smedley A.R.D., Webb A., Why is it so hard to gain enough Vitamin D by solar exposure in the European winter?, Meteorologische Zeitschrift, 27, 223-233, https://doi.org/10.1127/metz/2018/0855
Tags: Health, Spectral UV
2016, Karppinen, T., Lakkala, K., Karhu, J. M., Heikkinen, P., Kivi, R., and Kyrö, E., Brewer spectrometer total ozone column measurements in Sodankylä, Geoscientific Instrumentation, Methods and Data Systems, 5, 229-239, https://doi.org/10.5194/gi-5-229-2016
Tags: Brewer, Ozone