Scientific Online Letters on the Atmosphere (SOLA) is an online, open-access letter journal and was established to rapidly publish scientific discoveries, new findings, and advances of understanding in meteorology and atmospheric sciences as well as in related interdisciplinary areas. SOLA is committed to pursue the followings: rapid review cycle; rapid publication; and wide coverage in atmospheric sciences. SOLA aims to make final decision for the submitted papers within two months from the date of submission. After acceptance, the papers will appear on J-STAGE (https://www.jstage.jst.go.jp/browse/sola/) within one month. To cover wide areas in atmospheric sciences, the Editorial Committee of SOLA consists of 8 steering board members and 35 editors who specialize various fields in atmospheric sciences. SOLA was established in 2005 by the Meteorological Society of Japan. About 40 to 50 papers have been published each year, and in 2016 there were totally 67 papers in the regular volume and the special volume on The First Asian Conference on Meteorology.
The Editorial Committee of SOLA gives The SOLA Award to outstanding paper(s) published each year starting from 2010. The award winning papers are as follows: Ito et al. (2010), Inoue et al. (2011), Endo (2011), Iwasaki and Mochizuki (2012), Moteki and Manda (2013), Miyama and Hasegawa (2014), and Masuda and Ishioka (2015).
Among the 35 editors, 10 editors join the SOLA committee from the international research community outside Japan. SOLA welcomes submission from the international community in atmospheric sciences. We hope that SOLA would be a platform to publish researches in meteorology and atmospheric sciences including their related interdisciplinary fields.
With a goal of real-time, high-resolution, short-term prediction of heavy rainfall systems, the SCALE-LETKF was developed implementing the local ensemble transform Kalman filter with the Scalable Computing for Advanced Library and Environment-Regional Model (SCALE-RM). The system has been running in near real time experimentally since May 2015, configured for weather analyses and forecasts at 18-km resolution for a 5760 × 4320 km area around Japan. Among the data for more than one year, the near-real-time forecasts and the 3-km resolution downscaling simulations are demonstrated for a selected case of the September 2015 Kanto-Tohoku heavy rainfall associated with Typhoon Etau (2015). The typhoon track was successfully analyzed and predicted by the system, and the line-shaped rainband producing heavy rainfall can be reasonably forecasted by the downscaling simulation from the near-real-time data.