High moisture confluence in Japan Sea polar air mass convergence zone captured by hourly radiosonde launches from a ship.

Some of the heaviest snowfalls in urban areas in the world occur in Japan, particularly in regions that face the Japan Sea. Many heavy snowfalls are produced by a Japan Sea polar air mass convergence zone (JPCZ), which is an atmospheric river-like cloud zone that forms when Siberian cold air flows over the warm Japan Sea. Quantifying how the air-sea interaction strengthens the JPCZ is key to snowfall prediction. However, until our observations with hourly meteorological balloon launches from a training vessel in 2022, no simultaneous air-sea observations targeting the JPCZ had been conducted. Our observations showed that wind direction shifted drastically by about 90 degrees from the surface to an altitude of about 3.5 km within a narrow horizontal range of about 15 km, indicating airflow convergence from the surroundings. Maximum temperature difference between surface air (3 °C) and water was 11 °C near the JPCZ centre with 17 m s-1 wind speed. Large amounts of heat, 718 W m-2, was thus gained from the warm sea. Water vapour was also concentrated by the horizontal convergence, which caused heavy snow, equivalent to 100 cm of snowfall in 7 h. The surrounding sea greatly affects moisture formation within the JPCZ.

Efficacy and safety of ropeginterferon alfa-2b in Japanese patients with polycythemia vera: an open-label, single-arm, phase 2 study.

Ropeginterferon alfa-2b is a novel, site-selective, monopegylated recombinant human interferon alfa-2b. Safety and efficacy of ropeginterferon alfa-2b for the treatment of polycythemia vera were demonstrated in clinical studies conducted in European countries, but clinical studies in Japanese patients are lacking. This phase 2, open-label, multicenter, single-arm study investigated the safety and efficacy of ropeginterferon alfa-2b in 29 Japanese patients with polycythemia vera including young patients and patients with low thrombosis risk who are difficult to receive guideline-based standard treatments. The primary outcome of durable complete hematologic response without phlebotomy at months 9 and 12 was achieved by 8/29 (27.6%) patients. The fastest complete hematologic response was observed at week 12. A corresponding reduction in the JAK2 V617F allele burden from baseline to 52 weeks was also observed (mean ± standard deviation = - 19.2% ± 22.6%). No new safety concerns were identified in Japanese patients when compared with previous studies of ropeginterferon alfa-2b in European populations; the most common treatment-related adverse events were alopecia (55.2%), fatigue (27.6%) and influenza-like illness (27.6%). Most treatment-related adverse events were mild or moderate, with none of grade ≥ 3. Ropeginterferon alfa-2b is a safe and efficacious treatment option in Japanese patients with polycythemia vera.

Downscaling Global Emissions and Its Implications Derived from Climate Model Experiments.

In climate change research, future scenarios of greenhouse gas and air pollutant emissions generated by integrated assessment models (IAMs) are used in climate models (CMs) and earth system models to analyze future interactions and feedback between human activities and climate. However, the spatial resolutions of IAMs and CMs differ. IAMs usually disaggregate the world into 10-30 aggregated regions, whereas CMs require a grid-based spatial resolution. Therefore, downscaling emissions data from IAMs into a finer scale is necessary to input the emissions into CMs. In this study, we examined whether differences in downscaling methods significantly affect climate variables such as temperature and precipitation. We tested two downscaling methods using the same regionally aggregated sulfur emissions scenario obtained from the Asian-Pacific Integrated Model/Computable General Equilibrium (AIM/CGE) model. The downscaled emissions were fed into the Model for Interdisciplinary Research on Climate (MIROC). One of the methods assumed a strong convergence of national emissions intensity (e.g., emissions per gross domestic product), while the other was based on inertia (i.e., the base-year remained unchanged). The emissions intensities in the downscaled spatial emissions generated from the two methods markedly differed, whereas the emissions densities (emissions per area) were similar. We investigated whether the climate change projections of temperature and precipitation would significantly differ between the two methods by applying a field significance test, and found little evidence of a significant difference between the two methods. Moreover, there was no clear evidence of a difference between the climate simulations based on these two downscaling methods.