This is a video on CMA website, which is about Urban Multi-hazard Early Warning Toolbox. The toolbox is being promoted to users all over the world，especially the countries and regions along "The Belt and Road" to advance the "Early Warning for All" initiative. See the video here.
Member news related
At 3:30 am on September 2, the 9th typhoon SAOLA in 2023 made landfall on the southern coastal areas of Zhuhai, Guangdong. On August 31, CMA Meteorological Observation Centre (CMA MOC) with CMA Center for Earth System Modeling and Prediction (CMEC) and Guangdong Provincial Meteorological Service applied RDSS to monitor SAOLA. This is the first time CMA carried out the round-trip drifting, which realized the interaction of typhoon observation and forecast, and effectively enhanced the accuracy of monitoring and forecasting of SAOLA since the upgrading from L-band radar sounding to Beidou Navigation Sounding System was activated in July this year.
At 11:47 a.m. on August 3, FENGYUN-3F (hereafter referred to as FY-3F) was lifted off in Jiuquan Satellite Launch Centre. As the new member of “morning satellite” family among FY meteorological satellites, FY-3F will undertake the in-orbit operation of FY-3C, and reinforce atmospheric component quantitative sounding and climate change monitoring and serving weather forecasting, atmospheric chemistry and climate change monitoring operation and research on the basis of ensuring near-earth orbit global imaging observation and vertical atmospheric sounding operation.
Record-breaking rainfall induced by a tropical cyclone has caused devastation and casualties in the Chinese capital Beijing and the surrounding province of Hebei, prompting a major relief and rescue operation. Other countries in Asia have also been impacted by the extreme downpours.
On May 22 and 23, the maximum winds near the center of this year's 2nd Typhoon Mawar strengthened from 38 meters per second (typhoon scale) to 60 meters per second (super typhoon scale) within 24 hours. The National Meteorological Centre (NMC) harnessed artificial intelligence (AI) rapid enhancement identification technology, and has achieved tendency forecast 12 hours in advance. Meanwhile, Huawei Cloud Pangu Model also performed well in the prediction of Mawar's track, predicting its turning track in the eastern waters of Taiwan Island five days in advance.