多普勒雷达数据处理显示系统

多普勒天气雷达目前已经成为对短时强烈天气进行监测的主要手段之一。为了方便资料的处理和分析 ,将科研成果向业务应用转化 ,提高观测资料软件和资料处理能力 ,为预报员和科研人员提供方便 ,我们开发了多普勒雷达资料分析显示系统。该软件是兼原始数据处理、反演、显示功能于一体的雷达数据处理系统 ,有很好的兼容性和可移植性 ,其交互式、多线程、多窗口、多任务的汉化操作界面 ,灵活、简便 ,容易使用。根据用户需要 ,水平风场可用风矢量、风羽、流线或等值线等不同方式表达 ,多种水平变量也可以任意叠加     

基于MICAPS系统的数字化天气图及常规气象资料检索分析系统

介绍了基于“9210工程”和MICAPS系统的资料自动存储、整理、检索和历史天气图分析业务系统——基于MICAPS系统的数字化天气图及常规气象资料检索分析系统，较全面地介绍了该系统高度自动化、设计友好的功能和在业务中的应用。     

适应气候变化研究中的常见术语辨析

适应气候变化在国际公约谈判及国内适应实践中成为重要的关注内容,明晰适应相关的术语含义具有科学参考价值和实践指导意义。本文通过比较适应相关术语认为,适应是行为方式或对策措施的界定,可不需量化数据支持;适应能力需有明确评价指标体系,并最终产生量化性评价结果;适应性更偏重于能力属性,其基本结论是有或无、强或弱的判断,在适应性有量化结论支持或明确强弱确定时则等同于适应能力。脆弱性评价中,暴露度体现主体对象与气候变化相关的基本处境概况,敏感性表明气候变化对主体对象的影响,适应能力则是经济资本、自然资源、技术水平、社会保障四大要素的综合评价,各要素涵盖的具体指标需要酌情依据适应主体属性予以判别和遴选。适应气候变化与灾害风险管理在主体范畴、驱动因子、行动目的上有所区别,但两者共同关注提高对气候变化/气候灾害风险的抵御、承受、恢复能力,以降低不利影响,实现可持续发展为共同目标。     

Arctic sea ice and Eurasian climate: A review

The Arctic plays a fundamental role in the climate system and has shown significant climate change in recent decades,including the Arctic warming and decline of Arctic sea-ice extent and thickness. In contrast to the Arctic warming and reduction of Arctic sea ice, Europe, East Asia and North America have experienced anomalously cold conditions, with record snowfall during recent years. In this paper, we review current understanding of the sea-ice impacts on the Eurasian climate.Paleo, observational and modelling studies are covered to summarize several major themes, including: the variability of Arctic sea ice and its controls; the likely causes and apparent impacts of the Arctic sea-ice decline during the satellite era,as well as past and projected future impacts and trends; the links and feedback mechanisms between the Arctic sea ice and the Arctic Oscillation/North Atlantic Oscillation, the recent Eurasian cooling, winter atmospheric circulation, summer precipitation in East Asia, spring snowfall over Eurasia, East Asian winter monsoon, and midlatitude extreme weather; and the remote climate response(e.g., atmospheric circulation, air temperature) to changes in Arctic sea ice. We conclude with a brief summary and suggestions for future research.     

MARS软件在数值预报模式产品数据管理中的应用

该文简单介绍MARS (Meteorological Archival and Retrieval System) 软件的架构及组成部分,并基于MARS软件,介绍了数值预报产品数据管理系统设计与实现。通过在GRIB2数据段对应描述层次类型和气象要素的表格文件中定义新的层次类型和气象要素,在MARS软件解析GRIB2数据所需要查找的相关模板表格文件中定义气象要素对应的产品类型号、要素类别号、要素号、要素名称和要素名称缩写,说明GRIB2数据模板和代码表创建方法。以GRAPES模式产品GRIB2数据为例,实现应用MARS软件管理GRAPES模式产品GRIB2数据。结合存储管理TSM (Tivoli Storage Manager) 软件,研究开发MARS软件和TSM软件连接接口程序,实现数据的直接迁移和回调。以T639L60模式产品为例,通过测试检索性能,MARS软件检索数值预报产品速度超过当前国家级气象数据管理系统数据检索速度1倍,说明MARS软件检索数值预报产品数据具有时效优势。     

A timescale decomposed threshold regression downscaling approach to forecasting South China early summer rainfall

A timescale decomposed threshold regression(TSDTR) downscaling approach to forecasting South China early summer rainfall(SCESR) is described by using long-term observed station rainfall data and NOAA ERSST data. It makes use of two distinct regression downscaling models corresponding to the interannual and interdecadal rainfall variability of SCESR.The two models are developed based on the partial least squares(PLS) regression technique, linking SCESR to SST modes in preceding months on both interannual and interdecadal timescales. Specifically, using the datasets in the calibration period 1915–84, the variability of SCESR and SST are decomposed into interannual and interdecadal components. On the interannual timescale, a threshold PLS regression model is fitted to interannual components of SCESR and March SST patterns by taking account of the modulation of negative and positive phases of the Pacific Decadal Oscillation(PDO). On the interdecadal timescale, a standard PLS regression model is fitted to the relationship between SCESR and preceding November SST patterns. The total rainfall prediction is obtained by the sum of the outputs from both the interannual and interdecadal models. Results show that the TSDTR downscaling approach achieves reasonable skill in predicting the observed rainfall in the validation period 1985–2006, compared to other simpler approaches. This study suggests that the TSDTR approach,considering different interannual SCESR-SST relationships under the modulation of PDO phases, as well as the interdecadal variability of SCESR associated with SST patterns, may provide a new perspective to improve climate predictions.     

Factors controlling the interannual variations of MJO intensity

The interannual variations of intensity of the Madden-Julian Oscillation (MJO) during boreal winter are investigated by using the observed outgoing longwave radiation (OLR) and the reanalysis data of ECMWF and NCEP. The standard deviation of 20-80-day filtered OLR anomaly is used to measure the MJO intensity. The dominant spatial structure of the interannual variability is revealed by an EOF analysis of the MJO intensity field. It is found that the leading mode is associated with eastern Pacific type ENSO, whereas the second mode is related to central Pacific type ENSO. A simple atmospheric model is used to investigate the relative roles of background moisture and wind changes in affecting the overall strength of MJO. The numerical experiments indicate that the background moisture effect is dominant while the background wind change has a minor effect.