Estimation of surface latent heat fluxes from IRS-P4/MSMR satellite data

The brightness temperatures of the Microwave sensor MSMR (Multichannel Scanning Microwave Radiometer) launched in May 1999 onboard Indian Oceansat-1 IRS-P4 are used to develop a direct retrieval method for latent heat flux by multivariate regression technique. The MSMR measures the microwave radiances at 8 channels at frequencies of 6.6, 10.7, 18 and 21 GHz at both vertical and horizontal polarizations. It is found that the surface LHF (Latent Heat Flux) is sensitive to all the channels. The coefficients were derived using the National Centre for Environmental Prediction (NCEP) reanalysis data of three months: July, September, November of 1999. The NCEP daily analyzed latent heat fluxes and brightness temperatures observed by MSMR were used to derive the coefficients. Validity of the derived coefficients was checked within situ observations over the Indian Ocean and with NCEP analyzed LHF for global points. The LHF derived directly from the MSMR brightness temperature (Tb) yielded an accuracy of 35 watt/m². LHF was also computed by applying bulk formula using the geophysical parameters extracted from MSMR. In this case the errors were higher apparently due to the errors involved in derivation of the geophysical parameters.     

秦山核电站厂址地震动加速度时程预测研究

本文研究了建立设计地震震源模型和用理论地震学方法预测基岩场地震震加速度的技术途径，预测了四相设计地震事件在秦山核电站厂址的加速度时程和反应谱，文中根据对地质和历史地震资料的研究，确定不同性质的设计地震事件，建立设计地震震源和工作区介质的确定性模型，针对未来地震的不可完全预见性，以及对地球介质和震源性质现有认识的局限性，文中发展了确定性和随机性组合的综合分析方法，在用确定的介质模型和设计震源计算地震     

Confidence Evaluation of Medium-and Long-Term Earthquake Prediction by Use of the Analytical Hierarchy Process

This paper offers an approach to the relative confidence level of medium- and long-term earthquake prediction methods by use of the analytical hierarchy process (AHP). We construct the criterion judgment matrices according to the results of an expert questionnaire known as the Delphi scheme. From the matrices we can obtain a scale for the relative preference or priority weight of each factor. The quantitative weights might be applied to make synthetic prediction of earthquake risk areas in the northern part of the North China seismic region.     

关于地震趋势快速判断的初步研究

从讨论地震序列的空间分布特征出发，结合地震学中的常规手段，研究了对地震趋势进行快速判断的方法。对于如何利用单台地震资料进行地震趋势的快速判断做了初尝试，取得一些有益的结果。     

应用动态时变参数多层递阶法进行地震预报研究

本文研究了动态时变参数多层递阶法的原理及其在地震预报中应用的具体实施步骤。该方法充分考虑了系统的时变特性,使内符精度较高,在较小的震级误差范围内一步预报结果与实际情况相吻合。因此该方法有一定的应用价值,值得进一步推广。     

集成奇异谱分析和自回归滑动平均预测日本近海海平面变化

本文从日本沿岸选取了28个验潮站及联测的GPS站,利用奇异谱分析（Singular Spectrum Analysis,SSA）和SSA+自回归滑动平均（Auto Regression Moving Average,ARMA）方法预测了2014—2018年的近海海平面变化和地壳垂直变化.并用同时段的验潮及GPS的实际测量值进行验证,结果显示,SSA+ARMA预测的相对海平面精度为0.0357~0.0607 m,地壳垂直运动的精度为0.0049~0.0077 m,绝对海平面的精度为0.0433~0.0683 m,且三者SSA+ARMA的预测结果均优于只用SSA预测的结果.在此基础上本文利用SSA+ARMA预测了日本沿岸2019—2023年的近海绝对海平面变化,结果显示,2019—2023年的平均海面高较往年（2014—2018）升高0.0353 m,2003—2023年绝对海平面的变化率为0.0039 m·a^-1,预测结果较为理想.     

云南地区地震短临预报实践

１９９７年４－６月云南省地震局对滇西南重点监视区做了短临预报,但这期间未发生所预期的地震。而滇西南地区６级地震的背景和省内的前兆异常变化是明显的。为此,认为前兆异常是区域应力场增强的结果。异常与地震是相互伴生的兄弟关系,不是父子间因果关系,是造成地震虚报的主要原因。     

石羊河流域干旱气候对ENSO事件的响应及预测分析

根据石羊河流域5个气象站1961—2018年的降水、气温、干旱实况资料,利用气候统计学方法分析ENSO事件对该区气候变化及干旱的影响。结果表明:厄尔尼诺事件会造成流域春季降水偏多,春、秋、冬季气温偏高,易出现暖冬;拉尼娜事件则春季降水偏少,秋季降水偏多,冬季气温偏低,易出现冷冬,中下游发生中度以上春旱、春末夏初旱和伏旱的概率较高。应用1968—2010年旬、月气象要素和大气环流特征量,采用最优子集回归方法,建立降水和干旱统计预测模式,然后结合ENSO事件,通过加权平均法构建集成预测概念模型。对模型进行检验,拟合率与准确率较高,已投入业务使用。     

两次岫岩震群的特征及其预报意义研究

本文对1988年1月、1999年11月岫岩两次震群的性质及序列特征作了较系统的分析和研究。结果表明：序列各项特征参数及预测指标都显示出了具有明确意义的预报信息。特别是1999年11月前震序的低b值、低h值及多台小震初动符号和波形特征的高度一致性和稳定性都预示着震源区应力的高度集中和稳定,也为短临预报提供了可靠的信息。此外,前震序列的频度分布的时间结构和能量释放的时间过程也明确显示出“密集－平静－发震”和“增强－减弱－发震”的特点。这种临震预报特征与海域地震前震活动的时空结构和时空过程十分相似。本文还讨论了两震群之间特殊部位发生断层贯通的可能性,并给出震级上限的估计。     

Assessment of potential transport of pollutants into the Barents Sea via sea ice--an observational approach

The present estimates of ice drift in the Arctic include utilization of satellite imagery data (special sensor microwave/imager) and a reconstruction of air pressure for the period 1899-1998. A significant part of the sea ice in the Arctic Ocean has its origin in the Kara Sea and melts in the Greenland and the Barents Sea (BS). Consequently there may be a particular risk of pollutants in the Kara Sea entering the food webs of the Greenland and BS. The ice export from the Kara Sea between 1988 and 1994 was about 208,000 km2 (154 km3) per year. The import of ice into the BS was during the same period 161,000 km2 (183 km3) per year while the ice drift through the Fram Strait into the Greenland Sea was 583,000 km2 (1859 km3) per year. Ice which formed adjacent to the Ob and Yenisey rivers in early January, drifted into the BS within two years (with a probability of about 50%.