偏振激光散斑的相关性研究

采用发送一束线偏振激光产生散斑的方法，研究线偏振激光散斑、＂平均椭圆偏振＂激光散斑以及非偏振激光散斑的相关性和精细结构。指出：当漫射器为一片毛玻璃时，散斑激光是线偏振的．其方向与入射激光束相同；当漫射器为涂无光白漆的毛玻璃时，散斑激光是部分或全部退偏的，涂层越厚，退偏越甚。对于强线偏振散斑场，当偏振方向改变时，散斑的精细结构无明显变化，即使是两个正交方向上的散斑图，也保持良好的相关性。对于非偏振散斑场，当照明激光束的偏振方向改变时．散斑精细结构有明显变化。     

使用间隔气象数据的余水位分析

余水位是潮汐预报中的"报不准"部分。在现有条件下,许多验潮站在对水位数据进行连续采集的同时,对气象数据还使用间隔时间采集的方式(若干小时采集一次)。使用间隔气象数据,按风向不同对气象数据、余水位数据进行分组,对风与余水位关系进行定性分析,对风-压与余水位关系进行拟合分析,并结合实例,对方法进行说明和检视。     

Numerical simulation of the Rongcharong paleolandslide river-blocking event: implication for the longevity of the landslide dam

Landslides - Numerous paleolandslide dams are distributed along the upper reaches of the Jinsha River under the special geological setting of the Tibetan Plateau. A field investigation revealed...     

Numerical simulation of the Qulong Paleolandslide Dam event in the late pleistocene using the finite volume type shallow water model

Natural Hazards - The Qulong paleolandslide dam event lies in the Benzilan-Batang zone of the upper Jinsha River. The Jinsha River is one of the most extensive water resources in southwest China....     

Interannual Variability and Scenarios Projection of Sea Ice in Bohai Sea Part I: Variation Characteristics and Interannual Hindcast

The Bohai Sea is one of the southernmost areas for sea ice formation in the northern hemisphere.Sea ice disasters in this body of water severely affect marine activities and the safety of coastal residents.In this study,we analyze the variation characteristics of the sea ice in the Bohai Sea and establish an annual regression model based on predictable mode analysis method.The results show the following:1)From 1970 to 2018,the average ice grade is(2.6±0.8),with a maximum of 4.5 and a minimum of 1.0.Liaodong Bay(LDB)has the heaviest ice conditions in the Bohai Sea,followed by Bohai Bay(BHB)and Laizhou Bay(LZB).Interannual variation is obvious in all three bays,but the linear decreasing trend is significant only in BHB.2)Three modes are obtained from empirical orthogonal function analysis,namely,single polarity mode with the same sign of anomaly in all of the three bays and strong interannual variability(82.0%),the north–south dipole mode with BHB and LZB showing an opposite sign of anomalies to that in LDB and strong decadal variations(14.5%),and a linear trend mode(3.5%).Critical factors are analyzed and regression equations are established for all the principal components,and then an annual hindcast model is established by synthesizing the results of the three modes.This model provides an annual spatial prediction of the sea ice in the Bohai Sea for the first time,and meets the demand of operational sea ice forecasting.     

FIO-ESM气候模式北太平洋海表温度和降水的季节性预报技巧评估

The seasonal prediction of sea surface temperature(SST) and precipitation in the North Pacific based on the hindcast results of The First Institute of Oceanography Earth System Model(FIO-ESM) is assessed in this study.The Ensemble Adjusted Kalman Filter assimilation scheme is used to generate initial conditions, which are shown to be reliable by comparison with the observations. Based on this comparison, we analyze the FIO-ESM 6-month hindcast results starting from each month of 1993–2013. The model exhibits high SST prediction skills over most of the North Pacific for two seasons in advance. Furthermore, it remains skillful at long lead times for midlatitudes. The reliable prediction of SST can transfer fairly well to precipitation prediction via air-sea interactions.The average skill of the North Pacific variability(NPV) index from 1 to 6 months lead is as high as 0.72(0.55) when El Ni?o-Southern Oscillation and NPV are in phase(out of phase) at initial conditions. The prediction skill of the NPV index of FIO-ESM is improved by 11.6%(23.6%) over the Climate Forecast System, Version 2. For seasonal dependence, the skill of FIO-ESM is higher than the skill of persistence prediction in the later period of prediction.     

风与余水位延迟效应关系的研究

针对实测水位资料中存在余水位的问题,进行气象因素中风与余水位的相关性以及风对余水位的延迟效应的研究。用统计分析法对青岛站数据分析得出,偏北风对减水贡献较大,偏南风对增水贡献较大;进一步对比分析得出:风对余水位的影响有一定的延迟性,延迟时间的长短与风速的大小成线性关系,风速越大延迟时间越短,造成的余水位变化幅度越大。通过本文分析可以为进一步研究余水位的特性、改进水位预报精度提供一定的参考。     

Current Status of Global Ocean Reanalysis Datasets

With the development of the ocean satellite remote sensing technology, the reanalysis of past oceanic observations using modern data assimilation technique and the restructuring of the long-term and consistent gridded data products have made great progress. Such datasets provide us with the most primary research tools to identify the state and evolution of ocean, and understand the role of ocean in climate change and variability at different spatial-temporal scales. In this paper, the current research status in the global reanalysis datasets including some of international global ocean reanalysis projects and the corresponding reanalyzed products were systematically reviewed. In addition, the present status of the domestic research of ocean reanalysis datasets was briefly introduced. The validation of the reanalysis datasets and some quality problems represented by the reanalyzed products, and the Ocean Reanalyses Intercomparison Project were systematically reviewed. Moreover, the prospects of the studies of oceanic reanalysis in the future were also discussed in this paper.     

Performance Analysis of the χMD Matrix Solver Package for MODFLOW-USG

The χMD matrix solver package is incorporated into USGS groundwater modeling software, such as MODFLOW-NWT, MODFLOW-USG, and MT3D. The solver is used to solve matrices assembled through numerical discretization of the groundwater flow equation, and solute transport equations. χMD has demonstrated its higher robustness, faster execution speed, and more efficient memory usage compared to the existing solvers for many types of groundwater flow problems. χMD uses preconditioned iterative Krylov-subspace methods and consists of preconditioning and acceleration modules. Because the solver package uses a variety of preconditioning features including level-based incomplete lower-upper (ILU) factorization method with a drop tolerance scheme, users must choose optimal preconditioning parameters to improve execution speed and robustness. In order to examine how the preconditioning parameters, ILU factorization level, and drop tolerance values affect the overall performance of the matrix solver, we evaluated five different groundwater model applications using MODFLOW-USG that include different numerical complexities. For those five cases, the number of discretization nodes varied from 10,000 cells to 730,300 cells. From the analysis, we found that the preconditioning parameters greatly affect execution times and memory usage of the preconditioning and acceleration procedures. In addition, a combination of the ILU level between five to seven and the drop tolerance value between 10⁻² and 10⁻³ usually resulted in shorter overall execution time. Our study suggests that the users can elicit higher performance and robustness of the χMD matrix solver using this combination of the parameters and enhance computational efficiency of solving groundwater and solute transport problems.