Highlights•We propose a new sea surface temperature inversion model.•The model is based on deep neural network.•This model is more accurate than traditional method.•The model is …
The compressive sampling matching pursuit (CoSaMP) algorithm is widely used in orthogonal frequency division multiplexing (OFDM) underwater acoustic (UWA) sparse channel estimation …
This study revisits the Arctic sea ice extent (SIE) for the extended period of 1979–2015 based on satellite measurements and finds that the Arctic SIE experienced three different …
Based on tropical cyclone (TC) track data and gridded observational rainfall data of CN05.1 during the period of 1961 to 2014, we examine the contribution of TCs on three metrics …
Haze particles as a key air pollutant contain high level of toxins, which were hypothesized to inhibit phytoplankton growth when deposited to the ocean, and thus indirectly affect …
This study compares the interdecadal variations in tropical cyclone (TC) activities over the western North Pacific (WNP) basin during the peak season (July–September) and late …
Fog has recently become a frequent high-impact weather phenomenon along the coastal regions of North China. Accurate fog forecasting remains challenging due to limited …
US EPA's Community Multiscale Air Quality modeling system (CMAQ) with Process Analysis tool was used to simulate and quantify the contribution of individual atmospheric processes …
采用广义回归神经网络(generalized regression neural network,GRNN)模型对山东烟台市福山气象站2000～2003年日总辐射曝辐量进行预估。模型通过交叉验证方法确定其关键参数(光滑因子),以日照时数、平均气压、平均气温、日最高气温、相对湿度、气溶胶光学厚度6个变量作为输入量。结果显示:GRNN15.9%,均方根误差为 …