Fei Ge, Shoupeng Zhu, Ting Peng, Yong Zhao et al.
Guided by the target of the Paris Agreement of 2015, it is fundamental to identify regional climate responses to global warming of different magnitudes for Southeast Asia (SEA), a tropical region where human society is particularly vulnerable to climate change. Projected changes in indices character...
Zin Mie Mie Sein, Xiefei Zhi, Irfan Ullah, Kamran Azam et al.
Abstract The present study assessed the spatiotemporal variation of summer monsoon precipitation and its potential drivers in Myanmar, utilizing monthly precipitation data from forty‐six (46) synoptic meteorological stations spanning 1981–2020. The nonparametric statistical Mann–Kendall (MK), Sequen...
Yang Lyu, Shoupeng Zhu, Xiefei Zhi, Yan Ji et al.
Abstract The reliable Subseasonal‐to‐Seasonal (S2S) forecast of precipitation, particularly extreme precipitation, is critical for disaster prevention and mitigation, which however remains a great challenge for mission agencies and research communities. In this study, a deep learning method based on...
Zin Mie Mie Sein, Xiefei Zhi
Dong Fu, Xiefei Zhi, Ling Zhang, Chengzhi Ye
ABSTRACT The diurnal variations of coastal boundary layer jets (CBLJs) over the northern South China Sea (SCS) and their effects on the diurnal cycle of rainfall over southern China during the early-summer rainy season of 2010–16 are examined based on the merged hourly gauge and satellite rainfall d...
Yang Lyu, Shoupeng Zhu, Xiefei Zhi, Jingyu Wang et al.
Abstract Reliable Subseasonal-to-Seasonal (S2S) forecasts of precipitation are critical for disaster prevention and mitigation. In this study, an innovative hybrid method CSG-UNET combining the UNET with the censored and shifted gamma distribution based ensemble model output statistic (CSG-EMOS), is...
Zin Mie Mie Sein, Xiefei Zhi, Faustin Katchele Ogou, Isaac Kwesi Nooni et al.
The study investigated the precipitation variability over Myanmar at the annual and seasonal scales by comparing 12 model outputs from the Coupled Model Intercomparison Project Phase 6 (CMIP6) with gridded observational data provided by the Global Precipitation Climatology Centre (GPCC) from 1970 to...
Xiefei Zhi, Xiao Tian, Peng Liu, Yaoxing Hu
Jingwei Xu, Xiefei Zhi, Dmitry Sein, William Cabos et al.
Abstract Most standalone atmospheric models do not perform well in simulations of coastal boundary layer jets (BLJs), important weather processes that can trigger heavy rain in coastal areas by supplying both moisture and dynamic lifting. We compared 33‐year simulations with a coupled atmosphere–oce...
Ying Wang, Xiefei Zhi, Yongqing Bai, Dong Fu et al.
pollution, and the pollution rise rate was slower, and the duration was longer than those of other patterns.
Qi Haixia, Xiefei Zhi, Tao Peng, Ji Yan et al.
Yongqing Bai, Ling Zhang, Yujie Jiang, Tianliang Zhao et al.
Abstract This study investigates the unique winter phenomenon in central China's Twain‐Hu Basin where high aerosol optical depth (AOD) centers coincide with a regional near‐surface wind speed maximum. Based on multi‐decadal reanalysis data sets, satellite retrievals, ground observations, and FLEXPAR...
Qian Wang, Ling Zhang, Xiefei Zhi, Liping Li et al.
Dong Fu, Xiefei Zhi, Klaus Fraedrich, Shoupeng Zhu et al.
Jingwei Xu, Yangyang Zhang, Xiefei Zhi, Ziqi Ma et al.
Long-term high-resolution spatial gridded altimeter-derived significant wave height (SWH) data with daily temporal resolution are fundamental to revealing the detailed processes through which weather systems influence the ocean. However, elucidation of those processes is hampered by the sparse cover...