2018 Continues Record Global Ocean WarmingAdvances in Atmospheric Sciences - - 2019
Lijing Cheng, Jiang Zhu, John Abraham, Kevin E. Trenberth, John T. Fasullo, Bin Zhang, Fujiang Yu, Liying Wan, Xingrong Chen, Xiangzhou Song
Properties of cloud and precipitation over the Tibetan PlateauAdvances in Atmospheric Sciences - Tập 32 - Trang 1504-1516 - 2015
Chenghai Wang, Hongxia Shi, Haolin Hu, Yi Wang, Baike Xi
The characteristics of seasonal precipitation over the Tibetan Plateau (TP) were investigated using TRMM (Tropical Rainfall Measuring Mission) precipitation data (3B43). Sensitive regions of summer precipitation interannual variation anomalies were investigated using EOF (empirical orthogonal function) analysis. Furthermore, the profiles of cloud water content (CWC) and precipitable water in diffe...... hiện toàn bộ
An updated coupled model for land-atmosphere interaction. Part I: Simulations of physical processesAdvances in Atmospheric Sciences - Tập 25 - Trang 619-631 - 2008
Hongling Zeng, Guoxiong Wu, Zaizhi Wang, Jinjun Ji
A new two-way land-atmosphere interaction model (R42_AVIM) is fulfilled by coupling the spectral atmospheric model (SAMIL_R42L9) developed at the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences (LASG/IAP/CAS) with the land surface model, Atmosphere-Vegetation-Interaction-Model (AVIM). ...... hiện toàn bộ
Assimilating All-sky Infrared Radiances from Himawari-8 Using the 3DVar Method for the Prediction of a Severe Storm over North ChinaAdvances in Atmospheric Sciences - Tập 38 - Trang 661-676 - 2021
Dongmei Xu, Zhiquan Liu, Shuiyong Fan, Min Chen, Feifei Shen
Although radar observations capture storm structures with high spatiotemporal resolutions, they are limited within the storm region after the precipitation formed. Geostationary satellites data cover the gaps in the radar network prior to the formation of the precipitation for the storms and their environment. The study explores the effects of assimilating the water vapor channel radiances from Hi...... hiện toàn bộ
Applying artificial neural networks to modeling the middle atmosphereAdvances in Atmospheric Sciences - Tập 27 - Trang 883-890 - 2010
Cunying Xiao, Xiong Hu
An artificial neural network (ANN) is used to model the middle atmosphere using a large number of TIMED/SABER limb sounding temperature profiles. A three-layer feed-forward network is chosen based on the back-propagation (BP) algorithm. Latitude, longitude, and height are chosen as the input vectors of the network while temperature is the output vector. The temperature observations during the peri...... hiện toàn bộ