= Data used in the Science Report by Horinouchi et al (2020) Horinouchi, T., Y.-Y. Hayashi, S. Watanabe, M. Yamada, A. Yamazaki, T. Kouyama, M. Taguchi, T. Fukuhara, M. Takagi, K. Ogohara, S. Murakami, J. Peralta, S. S. Limaye, T. Imamura, M. Nakamura, T. M. Sato, T. Satoh. (2020): How waves and turbulence maintain the super-rotation of Venus' atmosphere. Science, Vol. 368, Issue 6489, pp. 405-409. DOI: 10.1126/science.aaz4439 (https://www.science.org/doi/10.1126/science.aaz4439) Contact: email to Takeshi Horinouchi, horinout (_at_) ees.hokudai.ac.jp. The files in this directory contain data used to create the above mentioned paper. These data are freely available to check the paper. If you further want to use them for your research, we request you to follow the following guideline: * If you want to publish or present your results obtained by using any of the data, please refer this and the other papers listed below (see REFERENCES). * We would appreciate it if you could report your activity using the data. Please be cooperative; a variety of researches with the data are still ongoing. We would welcome collaborative studies. * Be cautious about the limitations of the data, which you can learn from the references. Avoid quick-and-dirty works. == REFERENCES Cloud tracking and its validation methods: * Ikegawa, S., and T. Horinouchi (2016), Improved automatic estimation of winds at the cloud top of Venus using superposition of cross-correlation surfaces. Icarus, 271, 98-119. https://doi.org/10.1016/j.icarus.2016.01.018 * Horinouchi, T., S. Murakami T. Kouyama, K. Ogohara, A. Yamazaki, M. Yamada, and S. Watanabe (2017), Image velocimetry for clouds with relaxation labeling based on deformation consistency. Measurement Science and Technology, 28(8), 085301 (10pp), 2017. https://doi.org/10.1088/1361-6501/aa695c Parameter setting particular to the present data * Horinouchi, T., T. Kouyama, Y. J. Lee, S. Murakami, K. Ogohara, M. Takagi, T. Imamura,K. Nakajima, J. Peralta, A. Yamazaki, M. Yamada, and S. Watanabe (2018), Mean winds at the cloud top of Venus obtained from two-wavelength UV imaging by Akatsuki. Earth, Planets, Space, 70:10. https://doi.org/10.1186/s40623-017-0775-3 Error evaluation, actual usage of data, etc * Horinouchi et al. (2020): cited above. (https://science.sciencemag.org/content/368/6489/405/) Please read its Supplementary Materials file (e.g., Fig. S3A) (https://science.sciencemag.org/highwire/filestream/743672/field_highwire_adjunct_files/0/aaz4439_Horinouchi_SM.pdf) available online on the Science web site. == FILES Format: * NetCDF: files with the suffix .nc * ASCII text: files with the suffix .txt The raw data of cloud tracking results (before applying the smoothing in time or space to derive (u#, v#) or (u', v') in the paper): * concat_283_eps20_pphvlen2_LT.nc (from the 283-nm images) * concat_365_eps20_pphvlen2_LT.nc (from the 365-nm images) The daily mean winds used to derive (u#, v#): * daily_uvi_283_eps20_pp0hvlen2.0_LT.nc (from the 283-nm images) * daily_uvi_365_eps20_pp0hvlen2.0_LT.nc (from the 365-nm images) Numerical data shown in the figures * Fig2A.txt - Fig2E.txt : data visualized in Figure 2 * Fig3B.txt -- Fig3C.txt : data visualized in Figure 3 == REMARKS The data used to draw Figure 1 are available in the Supplementary Materials file of the paper. Figure 3A is a simple visualization from the daily mean wind data.