新一代天气雷达CINRAD/SA谱宽概要探讨

新一代天气雷达的三种基本产品之一：基本谱宽。该谱宽不是通常所说的频率谱宽或功率谱，而是速度谱宽。本文对谱宽的探讨是从谱宽的物理意义、应用、获取方法、影响、信号处理(或数学)上五个方面进行，并适当加以比较分析。     

风廓线雷达估测雨滴谱参数

文章提出两种风廓线雷达资料估测雨滴谱的方法。①利用五波束风廓线雷达，通过连续方程求得各层垂直空气运动速度，根据垂直指向波束测出的功率谱导出雨滴谱；②假定雨滴谱为г分布，根据垂直指向的多普勒雷达测得的回波强度、径向速度、多普勒谱宽求得雨滴谱的三个参数。文章进行了实例计算，比较了两种方法的计算结果，并且讨论了Z-M关系的不确定性。     

新一代多普勒天气雷达CINRAD/CD谱宽资料分析应用初探

主要概述了多普勒天气雷达CINRAD/CD谱宽资料的物理意义、影响因素,并分析了在实际业务工作中谱宽与速度的关系.在理论分析的基础上,从气象因素、非气象因素、其它因素3个方面着重分析了影响谱宽大小的因素,并从风切变、湍流、粒子下落速度、波束宽度的横向风效应4个方面来分析谱宽与速度两者之间关系.指出风切变区除了可通过径向速度场来确定外,也可通过谱宽的大值区来确定,给出了针对不同降水类型的速度谱方差范围,以及雹云不同区域的湍能耗散率ε大小与实际降雹强度关系.另外运用谱宽数据可以对径向速度数据的可靠性进行检验,高谱宽值表明速度没有代表性.     

“海葵”台风(1211号)暴雨雨滴谱特征分析

利用常规气象观测资料、加密自动气象观测站资料、NCEP/NCAR再分析资料以及安徽省滁州、黄山山底站地基雨滴谱观测资料,分析了2012年8月8-9日“海葵”台风暴雨过程的降水特征与环流背景,重点分析了该过程前后两个阶段(即台风本体造成的降水阶段与冷空气入侵引发的降水阶段)降水的雨滴谱特征。结果表明:(1)“海葵”台风降水过程中,安徽滁州站和黄山山底站平均谱谱宽都较大,均有6~8 mm的大降水粒子出现;黄山山底站具有更高的雨滴数浓度和较小的雨滴直径。(2)整个降水过程中,滁州站平均谱接近后一阶段的雨滴谱型,而黄山山底站平均谱接近前一阶段的雨滴谱型;不同雨强下两站的雨滴谱谱型基本相似,且随着降水强度增大,谱宽和雨滴数浓度均呈增大趋势。(3)前后两个降水阶段,滁州和黄山山底站表现出不同的滴谱特征。前一阶段,滁州站雨强(R)、雨滴质量加权平均直径(Dm)和标准化数浓度(Nw)的均值均小于黄山山底站;至后一阶段,滁州站的R、Dm明显增大,均大于黄山山底站。(4)从台风本体降水阶段到冷空气入侵降水阶段,滁州站雨滴谱型变化明显,呈现出谱宽由窄变宽且随雨滴直径增大而雨滴数浓度均增大的特点;黄山山底站雨滴谱型差异不大,表现出谱宽由宽变窄、雨滴数浓度随雨滴直径增大先增后减的特点。     

对积雨云、层状云降水雨滴谱个例对比分析

利用北京市人工影响天气办公室2008年获取的典型积雨云、层状云降水过程雨滴谱资料,通过雨强、雨滴空间浓度、最大雨滴等特征值对比分析了两类降水过程的微物理特征。,个例中积雨云和层状云的谱宽分别是6mm和4mm,但雨滴算数平均直径都是0．96mm,在过程平均空间浓度上积雨云高了近一倍,达到318m^-3而两个例中直径超过1mm的雨滴所占总空间浓度的比例均接近1／4、积雨云强中心和边缘的降水雨滴谱、雨强的差别很大,强中心直径大于4mm的大滴占总雨强的比例达到55％,谱宽达到6mm,而强中心过后的降雨边缘谱宽则小于4mm。稳定的层状云降水的雨滴谱、雨强在时空上存在分布不均匀和大、小滴空间浓度反向变动的特征。     

降水粒子的最大直径对速度三阶中心矩法的影响

本文大用多普勒雷达垂直探测的速度估测大气垂直速度的方法－速度三阶中心短法（简称M3法）的基础上，利用雨滴谱资料，分析了降水粒子的最大直径Dmax对M3法的影响，并从实际工作出发，用反射率因子和多普勒谱宽拟合了Dmax和雨强（I),提高了大气垂直速度的估计精度。     

辐射雾雾滴谱拓宽的微物理过程和宏观条件

为研究南京雾的物理化学过程,2006～2007年冬季,在南京信息工程大学(原南京气象学院)院内进行了雾的外场综合观测实验,共获得27次雾过程资料,其中有22次过程进行了全过程不间断的雾滴谱和湍流观测.根据雾滴谱分布特征可以将辐射雾分为宽谱辐射雾(都为强浓雾,最大直径大于40μm)和窄谱辐射雾(多为浓雾,最大直径小于22...     

庐山一次积冰天气过程冻雨滴谱及下落末速度物理特征个例研究

利用PARSIVEL激光雨滴谱仪和自动气象站观测资料及MICAPS数据,对2014年2月7~15日庐山地区积冰天气期间持续时间在5 h以上的2次冻雨过程[2月10日（个例1）和2月13日（个例2）]降水谱分布特征及下落末速度粒径分布进行研究。所观测到的两次个例均是以冻雨为主体的混合相态降水,下落末速度粒径分布偏离G-K曲线,与常规液态降水存在差异,低落速的冻雨滴随降水过程会逐渐向冰粒和干雪转化。结果表明:（1）个例1总降水粒子谱谱宽大于个例2,但峰值数密度比个例2小:个例1谱宽为10 mm,个例2谱宽为4.25 mm,两者峰值粒径均为0.5 mm;个例1降水粒子谱宽为干雪>冻雨>冰粒,个例2降水粒子谱宽为冻雨>干雪>冰粒。（2）Gamma分布更适合描述混合相态降水粒子谱以及冻雨滴谱,个例1中总降水粒子谱Gamma分布为:N（D）=20D-3.61exp（-0.08D）,冻雨Gamma分布:N（D）=76D-2.18exp（-1.11D）;个例2中总降水粒子谱Gamma分布为:N（D）=30D-4.68exp（-0.75D）,冻雨Gamma分布:N（D）=30D-4.67exp（-0.75D）。（3）混合相态降水因混有干雪或冰粒而使得下落末速度粒径谱分布表现出不同程度地向大粒径小落速方向或小粒径大落速方向延展的趋势,这为今后依据下落末速度粒径谱区分同时期降水类型提供了新的思路。     

基于两种方法的天气雷达谱宽估算质量比较与改进

采用FFT算法和PPP算法,对南京S波段双线偏振全相参脉冲多普勒天气雷达一次实测回波时域I/Q信号进行谱宽估计,并对谱宽估计值及其偏差与信噪比的关系进行了分析。结果发现:1)相对高信噪比数据,低信噪比回波的谱宽估计偏差更大,且随信噪比降低偏差呈指数增长。相对FFT算法,PPP算法的谱宽估计偏差更大,且随信噪比降低偏差增长速度更快。2)为提高谱宽估计精度必须要尽量消除噪声(主要是低信噪比回波信号)造成的影响,分别对FFT算法和PPP算法提出了改进方案,两种算法的谱宽估计质量都有了较大提升,尤其是低信噪比回波数据。修正后FFT算法处理得到的谱宽数据与RVP8偏差更小,而修正后PPP算法处理得到的谱宽数据偏差较大且比较离散,这表明FFT算法的估计精度更高,但实际处理过程中PPP算法的处理速度更快,两种谱矩估计算法各有优劣。     

湛江地区一次冷锋型海雾微物理特征

利用2010年3月31日—4月2日冷锋天气系统影响下湛江海雾综合观测资料,分析了海雾的微物理特征及海雾过程中气溶胶粒子谱的演变特征。结果表明,海雾的生消与风场密切相关,海雾生成和发展与较强的ESE气流相联系,而弱的NE气流则会促使海雾减弱或消散。湛江海雾的雾滴数浓度为100~102cm-3,液态含水量为0.001~0.232 g·m-3,雾滴平均半径小于10μm,雾滴峰值半径多位于1.4μm。海雾雾滴谱分布以单调递减谱为主,谱宽超过20μm,且雾发展过程中雾滴谱谱宽存在突然增宽和迅速减小的现象。海雾过程中雾滴数浓度的变化主要是由半径小于5μm的雾滴数密度变化引起的。海雾过程对气溶胶粒子的湿清除效果并不显著,雾过程中粒径小于0.1μm和大于4μm的气溶胶粒子数密度显著减少,但在雾消散后又迅速恢复到雾发生前的水平。     

Combining the standardized precipitation index and climatic water deficit in characterizing droughts: a case study in Romania

This paper characterizes droughts in Romania using the approach of both the standardized precipitation index (SPI) and climatic water deficit (WD). The values of the main climatic factors (rainfall, temperature, reference evapotranspiration, etc.) were obtained from 192 weather stations in various regions of Romania. Penman–Monteith reference evapotranspiration (ET_o-PM) was used to calculate WD as the difference between precipitation (P) and ET_o-PM. SPI was calculated from precipitation values. There is a clear difference between drought and aridity. Drought occurrence determines higher WD values for plains and plateaus and lower climatic excess water (EW) values for high mountains in Romania, depending on the aridity of the specific region considered and drought severity. WD calculated as mean values for both normal conditions and, for all locations studied, various types of drought was correlated with mean annual precipitation and temperature, respectively. The combined approach of WD and SPI was mainly carried out for periods of 1 year, but such studies could also be done for shorter periods like months, quarters, or growing season. The most arid regions did not necessarily coincide with areas of the most severe drought, as there were no correlations between WD and SPI and no altitude-based SPI zones around the Carpathian Mountains, as is the case for other climate characteristics, soils and vegetation. Water resource problems arise where both SPI values characterize extremely droughty periods and WD values are greatly below ?200 mm/year. This combined use of SPI and WD characterizes the dryness of a region better than one factor alone and should be used for better management of water in agriculture in Romania and also other countries with similar climate characteristics.     

Using aridity indices to describe some climate and soil features in Eastern Europe: a Romanian case study

Summary As a result of climatic change associated with global warming, aridity is an increasing problem in many parts of the world, including south-eastern and southern regions of Romania. This paper clarifies the concept of aridity, and discusses related concepts including indices of aridity, and their influence on some landscape and soil features including climatic water deficit (WD) and the depth to soil carbonates (DC). As used here, WD is calculated as the difference between precipitation sum (P) and the Penman-Monteith reference evapotranspiration sum (ET_o-PM) over certain periods. Another three well-known aridity indices are also considered: De Martonne’s index (I_ar-DM), Thornthwaite’s index (I_ar-TH), the UNESCO (1979) P/ET_o-PM ratio index (I_ar-P/ETo-PM). WD is as high as −450 mm during the growing season in the most arid, south-eastern and southern regions of Romania, especially in the Dobrogea and Baragan areas. In other regions of Romania, including most of the plains and plateaus where agriculture is an important branch of the economy, WD reaches −100 to −300 mm during the growing season. The above aridity indices were spatially interpolated for specific periods by kriging, to generate relatively homogeneous areas. WD can also be seen as an aridity index which has the advantage of a more accurate quantification of the water supply needed for a reference crop, e.g. grass under standardised conditions, for various geographical regions. WD is significantly correlated with the other aridity indexes and with DC. This paper also examines the risk of aridity spreading, and suggests improvements to the water management system for agriculture in Romania.     

Comparison of TRMM and Water District Rain Rates over New Mexico

This paper compares monthly and seasonal rain rates derived from the Version 5 (V5) and Version 6 (V6) TRMM Precipitation Radar (TPR, TSDIS reference 2A25), TRMM Microwave Imager (TMI, 2A12), TRMM Combined Instrument (TCI, 2B31), TRMM calibrated IR rain estimates (3B42) and TRMM merged gauge and satellite analysis (3B43) algorithms over New Mexico (NM) with rain gauge analyses provided by the New Mexico water districts (WD). The average rain rates over the NM region for 1998–2002 are 0.91mmd?1 for WD and 0.75, 1.38, 1.49, 1.27, and 1.07mmd?1 for V5 3B43, 3B42, TMI, PR and TCA; and 0.74, 1.38, 0.87 and 0.97 mm d?1 for V6 3B43, TMI, TPR and TCA, respectively. Comparison of V5 3B43 with WD rain rates and the daily TRMM mission index (TPR and TMI) suggests that the low bias of V5 3B43 for the wet months (summer to early fall) may be due to the non-inclusion of some rain events in the operational gauge analyses that are used in the production of V5 3B43. Correlation analyses show that the WD rain rates vary in phase, with higher correlation between neighboring WDs. High temporal correlations (>0.8) exist between WD and the combined algorithms (3B42, 3B43 and TCA for both V5 and V6) while satellite instrument algorithms (PR, TMI and TCI) are correlated best among themselves at the monthly scale. Paired t-tests of the monthly time series show that V5 3B42 and TMI are statistically different from the WD rain rates while no significant difference exists between WD and the other products. The agreements between the TRMM satellite and WD gauge estimates are best for the spring and fall and worst for winter and summer. The reduction in V6 TMI (?7.4%) and TPR (?31%) rain rates (compared to V5) results in better agreement between WD estimates and TMI in winter and TPR during summer.     

Model sensitivity analysis study for western disturbances over the Himalayas

Western disturbances (WDs) are extratropical synoptic scale weather systems which cause significant precipitation over the Himalayas and surrounding areas during winter (December, January and February, DJF). Three intense WDs, 13–17 January 2002, 05–08 February 2002, and 11–13 February 2002, are chosen as two of the WDs are extensively studied by Hatwar et al. (Curr Sci 88:913–920, 2005) and one independent WD (Indian Meteorological Department, Delhi, Mausam 54(1):346–347, 2003) is considered. Firstly, it is planned to study model sensitivity with these WD cases, which are simulated with different combinations of cloud microphysics, planetary boundary layer and cumulus parameterization schemes in weather research and forecasting model to assess a better suite for the WD simulations. Sensitivity and error analyses carried out with different observations, show that the combination of Eta Ferrier or Eta Grid-scale cloud and precipitation microphysics scheme, Yonsei University scheme and Kain-Fritsch scheme has shown consistently lower error values. Further, the results suggest, that the model simulations of a WD capture the spatial distribution of precipitation, locations of low pressure region and the circulation patterns very well. It is observed that the WD system comprises of low pressure region in the vertical atmospheric column in form of a stationary surface low and a depression in the subtropical westerly jet moving eastwards. Further, the growth of convective cyclonic systems over the steep topographical region of the Himalayas is depicted by the increased positive vorticity and high values of CAPE, alluding to the propensity of WDs to cause orographically forced precipitation. WDs and associated precipitation show varied but significant impacts on the Indian winter climate such as snow cover variation and cold wave or fog conditions along with impact on winter crop production.     

The relationship between synoptic scale airflow direction and daily rainfall: a methodology applied to Devon and Cornwall, South West England

Summary Trans-scale relationships are established between fluctuations in the direction of the geostrophic flow over the British Isles and spatial variations in rainfall over Devon and Cornwall, South West England. The rationale for using such an approach is to provide the basis for assessing changes to the region’s rainfall climatology that may result from possible future enhanced greenhouse effect forced alterations to large-scale wind flow patterns. A new method, the concentration factor (CF), that relates rainfall totals to the frequency of the flow, is applied to investigate spatial variations in rainfall totals at twelve stations in the two counties under eight wind direction groups (N, NE, E, SE, S, SW, W, NW). S and SW flow types are found to produce the highest daily rainfall totals at all locations, with the three easterly groups (NE, E, SE) yielding higher daily precipitation intensities than the maritime NW group. Inter-annual and seasonal variations in daily wind direction – rainfall (WD/R) relationships are then assessed at two contrasting sites in Cornwall (St. Mawgan, Culdrose) using 40 years of data (1957–96). In general, there is a trend over this period toward maritime airflows (S, SW, W, NW) producing higher daily rainfall totals, with the continental groups (N, NE, E, SE) yielding lower totals relative to their frequency of occurrence. The trend toward maritime airflows producing higher rainfall totals is in line with recent trends in the North Atlantic Oscillation (NAO). Notable seasonal variations in WD/R relationships over Cornwall are interpreted in terms of the location’s exposure to the prevailing wind, sea temperature variations and the orography of the South West Peninsula. Received October 23, 2000/Revised February 2, 2001     

冬季太平洋三种海温异常型及其对欧亚大气环流的影响

通过对冬季太平洋海温场及滞后0—6月的欧亚500hPa高度场的联合REOF相关分析发现,与500hPa环流异常相联系的冬季海温异常分布可分为三种类型:EC型、KC型和WD型,其异常中心区域分别对应于赤道中东太平洋——加利福利亚海流区、黑潮区和北太平洋西风漂流区。各型海温异常对欧亚500hPa环流具有不同的滞后影响特征,滞后0—3月的影响区主要是低纬度地区,4个月以后可达中纬度地区,尤其是对我国东部上空环流的影响。无论是中纬度海洋还是低纬度海洋均可对滞后4个月以后的东亚中纬度环流产生明显影响。      

正压模式大气中西藏高原对副热带东西风切变带影响的数值试验

本文利用正压原始方程,对48°S——48°N间的给定的平直副热带西风和东风切变带进行了西风爬越西藏高原为主、西风绕过西藏高原和无西藏高原存在的三种不同情况的数值试验。这些试验表明,由于西藏高原与落基山等大地形的存在,不但能造成副热带高压带的断裂,并且能形成四个副热带高压单体。在北半球,这四个单体具有相当稳定的位置,一个在西太平洋,一个在中太平洋,一个在大西洋,一个在北非。这些试验还表明,当西风以爬越西藏高原为主时,对南半球澳大利亚高压的存在与稳定有一定的作用。西风绕过西藏高原流动时有利于西太平洋高压向西伸展。      

Learning about climate change and implications for near-term policy

Climate change is an issue of risk management. The most important causes for concern are not the median projections of future climate change, but the low-probability, high-consequence impacts. Because the policy question is one of sequential decision making under uncertainty, we need not decide today what to do in the future. We need only to decide what to do today, and future decisions can be revised as we learn more. In this study, we use a stochastic version of the DICE-99 model (Nordhaus WD, Boyer J (2000) Warming the world: economic models of global warming. MIT Press, Cambridge, MA, USA) to explore the effect of different rates of learning on the appropriate level of near-term policy. We show that the effect of learning depends strongly on whether one chooses efficiency (balancing costs and benefits) or cost-effectiveness (stabilizing at a given temperature change target) as the criterion for policy design. Then, we model endogenous learning by calculating posterior distributions of climate sensitivity from Bayesian updating, based on temperature changes that would be observed for a given true climate sensitivity and assumptions about errors, prior distributions, and the presence of additional uncertainties. We show that reducing uncertainty in climate uncertainty takes longer when there is also uncertainty in the rate of heat uptake by the ocean, unless additional observations are used, such as sea level rise.     

1971~2020年藏东南极端降水指数的时空变化特征

基于1971~2020年藏东南4个气象站逐日降水量资料,选取最大1日降水量（RX1day）、最大5日降水量（RX5day）、降水强度（SDII）、中雨日数（R10mm）、大雨日数（R20mm）、连续干燥日数（CDD）、连续湿润日数（CWD）、强降水量（R95pTOT）、极强降水量（R99pTOT）和年总降水量（PRCPTOT）共10个极端降水指数,采用线性趋势、Mann-Kendall非参数检验、R/S趋势分析、Morlet小波等方法,分析了藏东南极端降水指数的时空变化特征及其与大气环流指数、太阳黑子、海温指数之间的关系。结果表明:1971~2020年藏东南各极端降水指数变化幅度不大;RX1day、R20mm、CWD、R95pTOP、PRCPTOP呈下降趋势,尤其是近30 a（1991~2020年）PRCPTOP减幅显著,达?38.43 mm·10a?1;其他指数趋于增加,以CDD增幅最大（1.31 d·10a?1）。年代际变化尺度上,极端降水指数在20世纪90年代为正距平,21世纪前10年为负距平。极端降水指数的Hurst指数大多表现为较强或强持续性,未来将保持近50 a以来的变化趋势,仅CDD在2002年发生了气候突变。极端降水指数大多存在显著的3~4 a振荡周期。除CDD、CWD外,其他极端降水指数之间具有显著的正相关关系;而各极端降水指数均与年降水量、汛期降水量存在显著的相关性。多个极端降水指数与大气环流指数的相关性不显著,只有RX1day、RX5day、R95pTOT与亚洲极涡面积指数有显著的负相关,RX5day还与西太平洋副高强度指数有显著的正相关。绝大多数极端降水指数与太阳黑子的相关性不显著,仅有CWD与之有显著的正相关。RX5day、PRCPTOT和CDD与赤道太平洋次表层海温指数存在显著的相关关系。RX5day与印度洋暖池面积和强度指数存在显著的正相关,CWD与西太平洋暖池面积指数为显著的负相关。      

大气中大尺度振动的不稳定

这篇文章同时考虑了基本气流的垂直分布和水平分布来讨论大尺度扰动的不稳定度。讨论了不稳定扰动发生的必要规准,并进一步讨论了扰动的发展或阻尼对大气环流的作用。