Low-cost volcano surveillance from space: case studies from Etna, Krafla, Cerro Negro, Fogo, Lascar and Erebus

 Satellite data offer a means of supplementing ground-based monitoring during volcanic eruptions, especially at times or locations where ground-based monitoring is difficult. Being directly and freely available several times a day, data from the advanced very high resolution radiometer (AVHRR) offers great potential for near real-time monitoring of all volcanoes across large (3000×3000 km) areas. Herein we describe techniques to detect and locate activity; estimate lava area, thermal flux, effusion rates and cumulative volume; and distinguish types of activity. Application is demonstrated using data for active lavas at Krafla, Etna, Fogo, Cerro Negro and Erebus; a pyroclastic flow at Lascar; and open vent systems at Etna and Stromboli. Automated near real-time analysis of AVHRR data could be achieved at existing, or cheap to install, receiving stations, offering a supplement to conventional monitoring methods. Received: 21 January 1997 / Accepted: 3 April 1997     

RESEARCH ON AUTOMATIC FOG IDENTIFICATION TECHNOLOGY BY METEOROLOGICAL SATELLITE REMOTE SENSING

There is an urgent need for the development of a method that can undertake rapid, effective, and accurate monitoring and identification of fog by satellite remote sensing, since heavy fog can cause enormous disasters to China’s national economy and people's lives and property in the urban and coastal areas. In this paper, the correlative relationship between the reflectivity of land surface and clouds in different time phases is found, based on the analysis of the radiative and satellite-based spectral characteristics of fog. Through calculation and analyses of the relative variability of the reflectivity in the images, the threshold to identify quasi-fog areas is generated automatically. Furthermore, using the technique of quick image run-length encoding, and in combination with such practical methods as analyzing texture and shape fractures, smoothness, and template characteristics, the automatic identification of fog and fog-cloud separation using meteorological satellite remote sensing images are studied, with good results in application.     

桥梁气象专题研究与服务

根据实际开展的桥梁气象专题研究，分析桥梁气象研究与服务如何面对国内大型桥梁建设发展趋势所带来的机遇和挑战，提出开展桥梁气象研究与服务的必要性，并从桥位气候背景、桥位气象参数取值、桥梁气象研究方法以及桥梁施工及营运期气象服务与保障等方面介绍桥梁气象专题研究及服务应开展的主要内容，同时，给出一个已投入实际使用的桥梁施工期气象环境监测与预警系统的建设思路。     

相控阵天气雷达监测预警龙卷风的过程剖析

天气雷达作为龙卷风监测预警的重要手段之一,应用具有超高时空分辨率的X波段双极化相控阵天气雷达系统,较好地捕获并提前预警龙卷风。以2022年6月19日07时发生在广东佛山南海的一次龙卷风为例,详细剖析龙卷生消及雷达监测预警过程。借助雷达智能预警软件,利用X波段双极化相控阵天气雷达的双偏振量和超高时空分辨率数据,实时反演三维风场和分析龙卷碎片(TVS)特征,能够显著提高龙卷风监测预警水平。实例表明,本次成功地提前18分钟预警龙卷,进一步说明了X波段双极化相控阵天气雷达在强对流天气探测方面具有较强的生命力。     

河南省近年来遥感监测的森林火灾时空分布规律分析

森林火灾作为一种自然灾害,其发生原因不仅来自于自然因素,从众多的火灾调查中发现,更多地来自于人类活动因素,其发生的时空分布特点和规律,受自然和人类活动共同影响.对2003-2008年春、冬季(11月-次年4月)河南省森林防火期内遥感监测并已查明的森林火灾进行统计分析,结果发现:河南省森林火灾近年来有逐年增多的趋势;冬、春之交的3月为森林火灾的高发月份;从火灾的日变化规律来看,12-15时为一天中森林火灾的高发时段;从火灾发生的空间分布来看,伏牛山南麓发生森林火灾的频率较高.     

关于梅雨研究的回顾与展望

从梅雨的划分、梅雨的降水分型、梅雨与季风的关系及梅雨的影响因子几个方面,对前人的研究成果进行了回顾和讨论。最后,提出梅雨研究仍需解决的问题：（1）江淮流域梅雨季节的开始至今仍没有一个客观统一划定标准;（2）南海季风、印度季风等季风子系统对梅雨的影响大小及其机制尚需进一步研究讨论;（3）应针对梅雨季节内江淮流域不同的降水分布型,寻找其前期预兆信号进行深入研究;（4）应特别注意特定海温分布型对梅雨的影响,并从中找出影响梅雨的关键区域和影响的关键时段;（5）积冰和雪盖与梅雨异常的关系仍需进一步求证,影响机制还需进一步探索。     

Down-scaled regional ocean modeling system (ROMS) for high-resolution coastal hydrodynamics in Korea

A down-scaled operational oceanographic system is developed for the coastal waters of Korea using a regional ocean modeling system(ROMS).The operational oceanographic modeling system consists of atmospheric and hydrodynamic models.The hydrodynamic model,ROMS,is coupled with wave,sediment transport,and water quality modules.The system forecasts the predicted results twice a day on a 72 h basis,including sea surface elevation,currents,temperature,salinity,storm surge height,and wave information for the coastal waters of Korea.The predicted results are exported to the web-GIS-based coastal information system for real-time dissemination to the public and validation with real-time monitoring data using visualization technologies.The ROMS is two-way coupled with a simulating waves nearshore model,SWAN,for the hydrodynamics and waves,nested with the meteorological model,WRF,for the atmospheric surface forcing,and externally nested with the eutrophication model,CE-QUAL-ICM,for the water quality.The operational model,ROMS,was calibrated with the tidal surface observed with a tide-gage and verified with current data observed by bottom-mounted ADCP or AWAC near the coastal waters of Korea.To validate the predicted results,we used real-time monitoring data derived from remote buoy system,HF-radar,and geostationary ocean color imager(GOCI).This down-scaled operational coastal forecasting system will be used as a part of the Korea operational oceanographic system(KOOS) with other operational oceanographic systems.