循环神经网络在雷达临近预报中的应用

该文将循环神经网络（recurrent neural network,RNN）应用于雷达临近预报。使用预测循环神经网络（predictive RNN）架构,利用雷达历史组合反射率因子建模,给出雷达组合反射率因子未来1 h的预报结果。预测循环神经网络的核心是在长短时记忆单元（long short-term memory,LSTM）中增加时空记忆模块,能够提取雷达回波不同尺度的空间特征,配合循环神经网络架构,可以有效解决反射率因子预测问题。北京大兴雷达和广州雷达长时间序列的独立检验结果和2个强对流天气个例检验结果表明:该方法和传统的基于交叉相关法的1 h雷达外推临近预报相比,在20 dBZ和30 dBZ检验项目内,临界成功指数（CSI）可以提升0.15~0.30,命中率（POD）提高0.15~0.25,虚警率（FAR）降低0.15~0.20,该方法对反射率因子强度变化有一定预报能力。     

2022年春季海洋天气评述

2022年春季(3—5月)北半球极涡呈单极型分布,形状狭长,极涡强度与历史同期相当。北半球中高纬度西风带呈4波型分布。3月,我国北方的大部分地区及北部海域受西北气流控制;4月,东亚大槽加深,高压脊区较历史同期偏强;5月,中高纬环流调整为“两槽两脊”型。我国近海出现12次大风过程,其中冷空气大风过程4次,冷空气和温带气旋共同影响的大风过程3次,温带气旋大风过程4次,冷空气与热带气旋共同影响的大风过程1次。近海共出现10次比较明显的海雾过程,其中3月4次,4月3次,5月3次。西北太平洋和南海有2个热带气旋生成,接近常年同期平均值;全球其他海域有12个热带气旋生成,较历史同期平均值偏少5.7个。近海浪高2.0 m以上的海浪过程有12次,总日数为44 d。春季各月我国近海海面温度整体呈上升趋势,北方海域升温幅度大于南方海域。     

The influence of tropical Pacific forcing on the Arctic Oscillation

The potential role of tropical Pacific forcing in driving the seasonal variability of the Arctic Oscillation (AO) is explored using both observational data and a simple general circulation model (SGCM). A lead–lag regression technique is first applied to the monthly averaged sea surface temperature (SST) and the AO index. The AO maximum is found to be related to a negative SST anomaly over the tropical Pacific three months earlier. A singular value decomposition (SVD) analysis is then performed on the tropical Pacific SST and the sea level pressure (SLP) over the Northern Hemisphere. An AO-like atmospheric pattern and its associated SST appear as the second pair of SVD modes. Ensemble integrations are carried out with the SGCM to test the atmospheric response to different tropical Pacific forcings. The atmospheric response to the linear fit of the model’s empirical forcing associated with the SST variability in the second SVD modes strongly projects onto the AO. Idealized thermal forcings are then designed based on the regression of the seasonally averaged tropical Pacific precipitation against the AO index. Results indicate that forcing anomalies over the western tropical Pacific are more effective in generating an AO-like response while those over the eastern tropical Pacific tend to produce a Pacific-North American (PNA)-like response. The physical mechanisms responsible for the energy transport from the tropical Pacific to the extratropical North Atlantic are investigated using wave activity flux and vorticity forcing formalisms. The energy from the western tropical Pacific forcing tends to propagate zonally to the North Atlantic because of the jet stream waveguide effect while the transport of the energy from the eastern tropical Pacific forcing mostly concentrates over the PNA area. The linearized SGCM results show that nonlinear processes are involved in the generation of the forced AO-like pattern.     

The Relationship Between June Precipitation over Mid-Lower Reaches of the Yangtze River Basin and Spring Soil Moisture over the East Asian Monsoon Region

Using the US Climate Prediction Center(CPC)soil moisture dataset and the observed precipitation over China together with the NCEP/NCAR reanalysis wind and air temperature,the relationship between June precipitation over mid-lower reaches of the Yangtze River basin(MLR-YRB)and spring soil moisture over the East Asian monsoon region was explored,with the signal of the ENSO effect on precipitation removed.A significant positive correlation was found between the mean June precipitation and the preceding soilmoisture over the MRL-YRB.The possible response mechanism for this relationship was also investigated.It is found that when the soil over the MRL-YRB is wetter(drier) than normal in April and May,theair temperature in the lower troposphere over this region in May is lower(higher) than normal,and this temperature effect leads to a decrease(increase) in the temperature contrast between the land and the sea.Generally,a decrease(increase) in the land-sea temperature contrast leads to weaker(stronger) East Asian summer monsoon in June.Southerly(northerly)wind anomalies at 850 hPa then show up in the south of the Yangtze River basin while northerly(southerly)wind anomalies dominate in the north.These anomalies lead to the convergence(divergence) of wind and water vapor and hence gives rise to more(less) precipitation in June over the MLR-YRB.     

广东省夏半年降水敏感区域分析

利用广东省25个台站1980年至2012年4-9月份的降水量资料,采用小波分析、EOF和REOF方法对夏半年降水量的周期振荡、空间异常特征以及时间变化规律进行诊断分析研究。结果表明：广东省夏半年降水总量存在显著的4a、7a和13a周期振荡,且4a周期振荡信号最强,为第一主周期,7a和13a分别为第二、第三主周期。其主要异常模态表现为一致偏少或一致偏多、沿海与内陆反向型。广东省夏半年降水量的异常敏感区域为粤西北区、粤西南区和粤东北区。三个区域近几年夏半年降水量均表现为减少趋势,其中粤东北区降水量减少幅度较大。     

2001年春季中国北方沙尘暴的环流动力结构分析

通过对2001年春季中国北方5次沙尘暴的高度场，涡度场，散度场和风场的分析，研究了沙尘暴强盛期的环流动力结构。结果表明，在5次沙尘暴强盛期有相似的环流动力结构特征。在沙尘暴强盛期的高度场上，蒙古国有深厚的低值系统，乌拉尔高压发展，其间的强气压梯度是沙尘暴的动力源；低值系统有正涡度中心支持，外围是负涡度区，其间有强涡度梯度带；低值中心伴随有低层辐合高层辐散的垂直结构，易于发生近地面大风和上升气流，有利于地面起沙上扬，形成沙尘暴，大风区与强涡度梯度带一致，强风带切变形成的涡度输送有利于加强低值系统，进而增强风场。     

大同地区典型沙尘天气过程近地层气象要素演变特征的对比分析

利用2009年3月-2010年3月大同国家基准气候站20m气象梯度塔的风向、风速、气温、相对湿度的观测资料及PM10质量浓度数据、气溶胶散射系数数据,分析大同地区典型沙尘天气过程近地层气象要素演变特征。结果表明,风速在沙尘暴、扬沙的发生、发展过程中均较大,浮尘较小。气温在沙尘暴期间受冷空气的影响迅速减小,而在扬沙和浮尘天气条件下温度的变化主要取决于长短波辐射的强弱和沙尘气溶胶的辐射强迫。相对湿度在沙尘暴期间基本上呈递增态势,结束后比发生前相对湿度增大,在扬沙和浮尘天气条件下,相对湿度与温度完全呈现出反相关关系,且相对湿度均较小。PM10质量浓度在沙尘暴、扬沙、浮尘天气条件下依次递减。沙尘暴期间气溶胶散射系数明显增大。     

Atmospheric chemistry of hydrogen fluoride

Although a large volume of monitoring and computer simulation data exist for global coverage of HF, study of HF in the troposphere is still limited to industry whose primary interest is the safety and risk assessment of HF release because it is a toxic gas. There is very limited information on atmospheric chemistry, emission sources, and the behavior of HF in the environment. We provide a comprehensive review on the atmospheric chemistry of HF, modeling the reactions and transport of HF in the atmosphere, the removal processes in the vertical layer immediately adjacent to the surface (up to approximately 500 m) and recommend research needed to improve our understanding of atmospheric chemistry of HF in the troposphere. The atmospheric chemistry, emissions, and surface boundary layer transport of hydrogen fluoride (HF) are summarized. Although HF is known to be chemically reactive and highly soluble, both factors affect transport and removal in the atmosphere, the chemistry can be ignored when the HF concentration is at a sufficiently low level (e.g., 10 ppmv). At a low concentration, the capability for HF to react in the atmosphere is diminished and therefore the species can be mathematically treated as inert during the transport. At a sufficiently high concentration of HF (e.g., kg/s release rate and thousands of ppm), however, HF can go through a series of rigorous chemical reactions including polymerization, depolymerization, and reaction with water to form molecular complex. As such, the HF species cannot be considered as inert because the reactions could intimately influence the plume’s thermodynamic properties affecting the changes in plume temperature and density. The atmospheric residence time of HF was found to be less than four (4) days, and deposition (i.e., atmosphere to surface transport) is the dominant mechanism that controls the removal of HF and its oligomers from the atmosphere. The literature data on HF dry deposition velocity was relatively high compared to many commonly found atmospheric species such as ozone, sulfur dioxide, nitrogen oxides, etc. The global average of wet deposition velocity of HF was found to be zero based on one literature source. Uptake of HF by rain drops is limited by the acidity of the rain drops, and atmospheric particulate matter contributes negligibly to HF uptake. Finally, given that the reactivity of HF at a high release rate and elevated mole concentration cannot be ignored, it is important to incorporate the reaction chemistry in the near-field dispersion close to the proximity of the release source, and to incorporate the deposition mechanism in the far-field dispersion away from the release source. In other words, a hybrid computational scheme may be needed to address transport and atmospheric chemistry of HF in a range of applications. The model uncertainty will be limited by the precision of boundary layer parameterization and ability to accurately model the atmospheric turbulence.     

合肥市雾日气象条件分析

利用合肥市气象观测站2005—2009年常规观测资料,统计分析了该市雾的月、季变化,及雾日地面气象要素特征;同时,应用后向轨迹和聚类分析的方法,研究了雾日大尺度输送特征。结果表明,合肥雾日数12月最多,7月最少;雾日局地气象条件表现为高湿、微风、偏东或西北风向;合肥雾日与输送形势关系密切,雾日近地层(10 m)以偏东方向的轨迹最多,在边界层中上部(1 000 m)以西南轨迹和本地轨迹最多。     

Spatially explicit modelling of the impact of climate changes on pasture production in the North Island,New Zealand

To assess the potential impact of climate changes on pasture production in the North Island, New Zealand, eight climate scenarios of increased temperature and increased (or decreased) rainfall were investigated by integrating a polynomial regression model for pasture production with a Geographic Information System (GIS). The results indicated that the climate change scenarios assuming an increase in temperature by 1–2°C and a rainfall change by −20 to +20% would have a very significant impact on pasture production with a predicted pasture production variation from −46.2 to +51.9% compared with the normal climate from 1961–1990. Increased temperature would generally have a positive effect on pasture production in the south and southeast of the North Island, and increased rainfall would have a positive effect in the central, south and southeast of the North Island and a negative effect in the north of the North Island. The interaction of decreased rainfall and increased temperature would have a negative impact for the whole North Island except some central areas with high rainfall. Relevant management practices for coping with potential climate change are discussed.