航空短期区域气候模式预测系统研究

基于国家气候中心的海气耦合业务预测系统CGCM_1.1的预测资料产品,集成并完善了一个单向嵌套的、中尺度海气耦合的区域气候模式ASRegCM,并以其为数值计算核心,建立了一套航空短期区域气候预测业务系统ASRCPOS。对1983～2002年（共20年）的回报试验结果显示,ASRCPOS业务预测水平较前期统计预测为主业务系统的预测水平有一定程度的提高。尤其是在对连续型变量地面气温的距平,以及对非连续型变量地面降水的距平量级预测能力方面,该动力业务系统预测能力较前期业务系统有所改善。回报结果同时显示,业务系统在异常天气气温的预测方面存在较大的改进空间,对月以下时间尺度预报的解释应用方面仍存在一定的局限。     

一次冷锋降水过程消(减)雨催化试验

利用常规探空资料,结合雷达、卫星及自动站资料对2009年9月19-20日十一运会人工消(减)雨地面作业演练进行了分析。这次过程是一次比较稳定的小到中雨天气过程,为人工消(减)雨作业试验提供了有利的条件,通过9月19日晚系统前期和20日上午消(减)雨作业过量催化试验,对比分析作业前后的资料特别是直观的雷达探测资料,进行人工影响天气效果的物理检验,取得了比较明显的作业效果,为以后的消(减)雨作业催化试验提供了有益的尝试。     

NUMERICAL MODELING STUDY OF EFFECTS OF EASTERN PACIFIC WARM POOL ON ENSO

In this study, sensitivity experiments were conducted with the Zebiak-Cane ocean-atmosphere coupled model forced by the wind stress anomaly from the U.S. National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis data to study the impacts of eastern Pacific warm pool on the formation and development of ENSO events. The effects of climatological mean sea surface temperature of the warm pool on forecast skill during the ENSO events of 1982–1999 are more considerable that those of climatological mean meridional winds and ocean currents. The forecast skill for the 1997/1998 El Ni?o event is characterized by sensitivity to climatological mean sea surface temperature and anomalies of northerly winds and currents. The forecast skill is found insensitive to climatological mean northerly meridional winds and currents.     

Modeling the hydroclimatology of the midwestern United States. Part 2: future climate

An ensemble of six 22-year numerical experiments was conducted to quantify the response of soil moisture to multiple climate change scenarios over the American Midwest. Regional Climate Model version 3 (RegCM3) was run using two surface physics schemes: Integrated Biosphere Simulator (IBIS) and Biosphere-Atmosphere Transfer Scheme 1e (BATS1e); and two convective closure assumptions: Fritsch and Chappell and Arakawa and Schubert. Experiments were forced with a surrogate climate change scenario constructed using the National Centers for Environmental Prediction-Department of Energy Reanalysis 2 dataset and the ECHAM5 A1B climate change scenario. RegCM3-IBIS and RegCM3-BATS1e simulate increased two-meter air temperature and downward longwave radiation throughout the year under both climate change scenarios. While differences in shortwave radiation are relatively small; some model configurations and climate change scenarios produce additional precipitation, evapotranspiration, and total runoff during the spring and summer. Soil moisture is unchanged or increased throughout the growing season as enhanced rainfall offsets greater evaporative demand. Negligible drying in root zone soil moisture is found in all climate change experiments conducted, regardless of surface physics scheme, boundary conditions, or convective closure assumption.     

The effect of optimization and the nesting domain on carbon flux analyses in Asia using a carbon tracking system based on the ensemble Kalman filter

To estimate the surface carbon flux in Asia and investigate the effect of the nesting domain on carbon flux analyses in Asia, two experiments with different nesting domains were conducted using the CarbonTracker developed by the National Oceanic and Atmospheric Administration. CarbonTracker is an inverse modeling system that uses an ensemble Kalman filter (EnKF) to estimate surface carbon fluxes from surface CO₂ observations. One experiment was conducted with a nesting domain centered in Asia and the other with a nesting domain centered in North America. Both experiments analyzed the surface carbon fluxes in Asia from 2001 to 2006. The results showed that prior surface carbon fluxes were underestimated in Asia compared with the optimized fluxes. The optimized biosphere fluxes of the two experiments exhibited roughly similar spatial patterns but different magnitudes. Weekly cumulative optimized fluxes showed more diverse patterns than the prior fluxes, indicating that more detailed flux analyses were conducted during the optimization. The nesting domain in Asia produced a detailed estimate of the surface carbon fluxes in Asia and exhibited better agreement with the CO₂ observations. Finally, the simulated background atmospheric CO₂ concentrations in the experiment with the nesting domain in Asia were more consistent with the observed CO₂ concentrations than those in the experiment with the nesting domain in North America. The results of this study suggest that surface carbon fluxes in Asia can be estimated more accurately using an EnKF when the nesting domain is centered in Asian regions.     

A systematic hailpad calibration procedure for operational hail suppression in Greece

Summary Hailpads are used to provide quantitative hailfall measurements in several hail experiments and hail suppression operations around the world. The dented hailpads record the time-integrated size distribution and concentration of hailfall. In the five-year Greek National Hail Suppression Program (GNHSP) hailpad data have been used to estimate the global (impact) energy of hailswaths for the evaluation of the GNHSP.In this paper a systematic hailpad calibration procedure is developed applicable to operational programs. To meet this objective a calibration experiment has been conducted consisting of several tests to: consider differences between pad types; to examine the effects of ultra violet-light on hailpads for varying periods of time; to investigate the effect of painting and inking of the hailpad surfaces; to consider the effect of analyst's variability, loose hailpad stands, and bouneing; and to develop calibration eqqations. The concluded results seem to justify the design and performance of the hailpad calibration procedure.With 9 Figures     

2018年2月琼州海峡持续性海雾过程的数值模拟分析

2018年2月春节期间琼州海峡发生持续性大雾天气,造成大量船舶停航。本文结合葵花8号卫星反演海雾产品、琼州海峡沿岸站点能见度观测数据及美国国家环境预报中心NCEP（National Centers for Environmental Prediction） 提供的FNL（Final Analysis）客观分析资料,对2018年2月18～20日的大雾过程进行了天气学成因分析,并进一步利用CMA-MESO（Global and Regional Assimilation and Prediction System）高分辨率数值模式从边界层方案、模式垂直分层以及海雾能见度算法三个方面进行敏感性试验,以找出模拟效果更好的模式设置方案。研究结果表明:大雾期间华南近海海温较常年平均偏低,受地面冷高压南下补充的弱冷空气影响,偏东暖湿气流流经冷海面并快速凝结。而数值模拟对比试验显示,采用YSU（Yonsei University）边界层方案、边界层垂直层次加密及美国国家海洋大气局预报系统实验室（FSL/NOAA）的海雾诊断方案（简称FSL）对改进能见度预报效果显著:YSU边界层方案比MRF（Medium Range Forecast Model）边界层方案对该次大雾过程的分布范围和最低能见度出现的时间模拟效果更优;模式低层分层加密可更好体现出低能见度的演变过程;通过能见度算法与实况对比,基于模式预报性能较好的湿度和温度预报而来的FSL算法,其能见度预报与站点实况最为接近。     

Assimilation and Simulation of Typhoon Rusa （2002） Using the WRF System

Using the recently developed Weather Research and Forecasting (WRF) 3DVAR and the WRF model, numerical experiments are conducted for the initialization and simulation of typhoon Rusa (2002).The observational data used in the WRF 3DVAR are conventional Global Telecommunications System (GTS) data and Korean Automatic Weather Station (AWS) surface observations. The Background Error Statistics (BES) via the National Meteorological Center (NMC) method has two different resolutions, that is, a 210-km horizontal grid space from the NCEP global model and a 10-km horizontal resolution from Korean operational forecasts. To improve the performance of the WRF simulation initialized from the WRF 3DVAR analyses, the scale-lengths used in the horizontal background error covariances via recursive filter are tuned in terms of the WRF 3DVAR control variables, streamfunction, velocity potential, unbalanced pressure and specific humidity. The experiments with respect to different background error statistics and different observational data indicate that the subsequent 24-h the WRF model forecasts of typhoon Rusa‘s track and precipitation are significantly impacted upon the initial fields. Assimilation of the AWS data with the tuned background error statistics obtains improved predictions of the typhoon track and its precipitation.     

THE COUPLED MODE BETWEEN THE KUROSHIO REGION MARINE HEATING ANOMALY AND THE NORTH PACIFIC ATMOSPHERIC CIRCULATION IN WINTERTIME

Using monthly reanalysis data of the National Center for Environmental Research/National Center for Atmospheric Research (NCEP/NCAR) and Objectively Analyzed Air–Sea Heat Flux (OAFlux) gathered during the winter, singular vector decomposition (SVD) analysis was conducted to reveal the coupled mode between the Kuroshio marine heating anomaly and the geopotential height at 500 hPa (Z500) over the North Pacific. The first SVD mode showed that when the northern Kuroshio marine heating anomaly was positive, the Z500 in the central and western sections of the North Pacific was anomalously low. By composing the meteorological field anomalies in the positive (or negative) years, it has been revealed that while the Aleutian Low deepens (or shallows), the northwesterly wind overlying the Kuroshio strengthens (or weakens) and induces the near-surface air to be cool (or warm). Furthermore, this increases (or decreases) the upward heat flux anomaly and cools (or warms) the sea surface temperature (SST) accordingly. In the vicinity of Kuroshio and its downstream region, the vertical structure of the air temperature along the latitude is baroclinic; however, the geopotential height is equivalently barotropic, which presents a cool trough (or warm ridge) spatial structure. The divergent wind and vertical velocities are introduced to show the anomalous zonal circulation cell. These are characterized by the rising (or descending) air in the central North Pacific, which flows westward and eastward toward the upper troposphere, descends (or rises) in the Kuroshio and in the western section of North America, and then strengthens (or weakens) the mid-latitude zonal cell (MZC).     

Air–Sea Coupling Enhances the East Asian Winter Climate Response to the Atlantic Multidecadal Oscillation

A simple air–sea coupled model,the atmospheric general circulation model(AGCM) of the National Centers for Environmental Prediction coupled to a mixed-layer slab ocean model,is employed to investigate the impact of air–sea coupling on the signals of the Atlantic Multidecadal Oscillation(AMO). A regional coupling strategy is applied,in which coupling is switched off in the extratropical North Atlantic Ocean but switched on in the open oceans elsewhere. The coupled model is forced with warm-phase AMO SST anomalies,and the modeled responses are compared with those from parallel uncoupled AGCM experiments with the same SST forcing. The results suggest that the regionally coupled responses not only resemble the AGCM simulation,but also have a stronger intensity. In comparison,the coupled responses bear greater similarity to the observational composite anomaly. Thus,air–sea coupling enhances the responses of the East Asian winter climate to the AMO. To determine the mechanism responsible for the coupling amplification,an additional set of AGCM experiments,forced with the AMO-induced tropical SST anomalies,is conducted. The SST anomalies are extracted from the simulated AMO-induced SST response in the regionally coupled model. The results suggest that the SST anomalies contribute to the coupling amplification. Thus,tropical air–sea coupling feedback tends to enhance the responses of the East Asian winter climate to the AMO.     

High resolution simulations of January and July climate over the western Alpine region with a nested Regional Modeling system

Summary High resolution January and July present day climatologies over the central-western Alpine region are simulated with a Regional Climate Model (RegCM) nested within a General Circulation Model (GCM). The RegCM was developed at the National Center for Atmospheric Research (NCAR) and is run at 20 km grid point spacing. The model is driven by output from a present day climate simulation performed with the GCM ECHAM3 of the Max Planck Institute for Meteorology (MPI) at T106 resolution (~ 120 km). Five January and July simulations are conducted with the nested RegCM and the results for surface air temperature and precipitation are compared with a gridded observed dataset and a dataset from 99 observing stations throughout the Swiss territory. The driving ECHAM3 simulation reproduces well the position of the northeastern Atlantic jet, but underestimates the jet intensity over the Mediterranean. Precipitation over the Alpine region in the ECHAM3 simulation is close to observed in January but lower than observed in July. Compared to the driving GCM, the nested RegCM produces more precipitation in both seasons, mostly as a result of the stronger model orographic forcing. Average RegCM temperature over the Swiss region is 2–3 degrees higher than observed, while average precipitation is within 30% of observed values. The spatial distribution of precipitation is in general agreement with available gridded observations and the model reproduces the observed elevation dependency of precipitation in the summer. In the winter the simulated elevation of maximum precipitation amounts is lower than observed. Precipitation frequencies are overestimated, while precipitation intensities show a reasonable agreement with observations, especially in the winter. Sensitivity experiments with different cumulus parameterizations, soil moisture initialization and model topography are discussed. Overall, the model performance at the high resolution used here did not deteriorate compared to previous lower resolution experiments.The National Center for Atmospheric Research is sponsored by the National Science Foundation.With 11 Figures     

内蒙古地区下垫面变化对土壤湿度数值模拟的影响

利用第二次全国土壤调查土壤质地数据（SNSS）和中国区域陆地覆盖资料（CLCV）将陆面过程模式CLM3.5（Community Land Model version 3.5）中基于联合国粮食农业组织发展的土壤质地数据（FAO）和MODIS卫星反演的陆地覆盖数据（MODIS）进行了替换,使用中国气象局陆面数据同化系统（CMA Land Data Assimilation System,CLDAS）大气强迫场资料,分别驱动基于同时改进土壤质地和陆地覆盖数据的CLM3.5（CLM-new）、基于只改进陆地覆盖数据的CLM3.5（CLM-clcv）、基于只改进土壤质地数据的CLM3.5（CLM-snss）和基于原始下垫面数据的CLM3.5（CLM-ctl）,对内蒙古地区2011～2013年土壤湿度的时空变化进行模拟试验,研究下垫面改进对CLM3.5模拟土壤湿度的影响。将四组模拟结果与46个土壤水分站点观测数据进行对比分析,结果表明:相对于控制试验,CLM-clcv、CLM-snss和CLM-new都能不同程度地改进土壤湿度模拟,其中CLM-clcv主要在呼伦贝尔改进明显,CLM-snss则在除呼伦贝尔以外的大部地区改进显著,CLM-ctl模拟的土壤湿度在各层上均系统性偏大,而CLM-new模拟土壤湿度最好地反映出内蒙古地区观测的土壤湿度的时空变化特征,显著改善了土壤湿度的模拟,体现在与观测值有着更高的相关系数和更小的平均偏差与均方根误差。     

在台风业务系统中使用卫星云导风资料的试验

在国家气象中心台隐数值预报业务系统中引入国家卫星气象中心提供的卫星云导风资料,进行两项预报试验。第一项是把卫星云导风资料作为观测资料进行最优插值客观分析;第二项是将云导风资料加入到轴对称的人造台风模型风场上,使之产生非对称风场。试验结果表明：卫星云导风资料作为观测资料进入模式后对减小台风路径预报误差效果明显;用云导风形成人造台风模型非对称风场可进一步提高台风路径预报精度。     

TAMDAR Observation Assimilation in WRF 3D-Var and Its Impact on Hurricane Ike (2008) Forecast

This study evaluates the impact of atmospheric observations from the Tropospheric Airborne Meteorological Data Reporting (TAMDAR) observing system on numerical weather prediction of hurricane Ike (2008) using three-dimensional data assimilation system for the Weather Research and Forecast (WRF) model (WRF 3D-Var). The TAMDAR data assimilation capability is added to WRF 3D-Var by incorporating the TAMDAR observation operator and corresponding observation processing procedure. Two 6-h cycling data assimilation and forecast experiments are conducted. Track and intensity forecasts are verified against the best track data from the National Hurricane Center. The results show that, on average, assimilating TAMDAR observations has a positive impact on the forecasts of hurricane Ike. The TAMDAR data assimilation reduces the track errors by about 30 km for 72-h forecasts. Improvements in intensity forecasts are also seen after four 6-h data assimilation cycles. Diagnostics show that assimilation of TAMDAR data improves subtropical ridge and steering flow in regions along Ike’s track, resulting in better forecasts.     

热带气旋奇异向量在GRAPES全球集合预报中的初步应用

基于副热带奇异向量的初值扰动方法已应用于GRAPES （Global and Regional Assimilation PrEdiction System）全球集合预报系统,但存在热带气旋预报路径离散度不足的问题。通过分析发现,热带气旋附近区域初值扰动结构不合理导致预报集合不能较好地估计热带气旋预报的不确定性,是路径集合离散度不足的可能原因之一。通过建立热带气旋奇异向量求解方案,将热带气旋奇异向量和副热带奇异向量共同线性组合生成初值扰动,以弥补热带气旋区域初值扰动结构不合理这一缺陷,进而改进热带气旋集合预报效果。利用GRAPES全球奇异向量计算方案,以台风中心10个经纬度区域为目标区构建热带气旋奇异向量求解方案,针对台风“榕树”个例进行集合预报试验,并开展批量试验,利用中国中央气象台最优台风路径和中国国家气象信息中心的降水观测资料进行检验,对比分析热带气旋奇异向量结构特征和初值扰动特征,评估热带气旋奇异向量对热带气旋路径集合预报和中国区域24 h累计降水概率预报技巧的影响。结果表明,热带气旋奇异向量具有局地化特征,使用热带气旋奇异向量之后,热带气旋路径离散度增加,路径集合平均预报误差和离散度的关系得到改善,路径集合平均预报误差有所减小,集合成员更好地描述了热带气旋路径的预报不确定性;中国台风降水的小雨、中雨、大雨、暴雨各量级24 h累计降水概率预报技巧均有一定提高。总之,当在初值扰动的生成中考虑热带气旋奇异向量后,可改进热带气旋初值扰动结果,并有助于改善热带气旋路径集合预报效果。      

基于T106L26全球大气环流模式的夏季集合预报

使用国家气候中心新一代大气环流模式BCC_AGCM2.0(T106L26)进行22 a夏季(6-8月)、11个成员的集合回报试验;针对500 hPa高度场、降水和气温的预测能力进行交叉检验,并计算其均方根误差.结果表明:模式对热带地区、海洋和欧亚大陆部分地区500 hPa高度场的模拟较好;对我国长江中下游、华南大部分地区降水的模拟具有一定可信度;2m温度距平在我国北方大部分地区呈现正相关且相关系数通过90％的信度检验,在南方地区则有待改善.集合预报效果好于单样本预报.模式分辨率的提高在一定程度上有助于改进预报效果.     

Polar amplification in a coupled climate model with locked albedo

In recent years, a substantial reduction of the sea ice in the Arctic has been observed. At the same time, the near-surface air in this region is warming at a rate almost twice as large as the global average—this phenomenon is known as the Arctic amplification. The role of the ice-albedo feedback for the Arctic amplification is still a matter of debate. Here the effect of the surface-albedo feedback (SAF) was studied using a coupled climate model CCSM3 from the National Center for Atmospheric Research. Experiments, where the SAF was suppressed by locking the surface albedo in the entire coupled model system, were conducted. The results reveal polar temperature amplification when this model, with suppressed albedo, is forced by a doubling of the atmospheric CO₂ content. Comparisons with variable albedo experiments show that SAF amplifies the surface-temperature response in the Arctic area by about 33%, whereas the corresponding value for the global-mean surface temperature is about 15%. Even though SAF is an important process underlying excessive warming at high latitudes, the Arctic amplification is only 15% larger in the variable than in the locked-albedo experiments. It is found that an increase of water vapour and total cloud cover lead to a greenhouse effect, which is larger in the Arctic than at lower latitudes. This is expected to explain a part of the Arctic surface–air-temperature amplification.     

MM5在国家气象中心CRAY-C92的实时预报试验尝试

该文利用国家气象中心CRAY-C92计算机上初步建成的一个可与实时资料连接的MM5中尺度预报试验系统,探讨在目前国家气象中心计算机资源和可获取的实时资料条件下,进行实时预报服务的可行性及可能达到的精度,采用30 km水平分辨率的模式,在1996年夏季北方汛期进行了一个半月的实时预报试验,在1997年6～7月间“庆香港回归”天气服务过程中作了实时预报服务。预报及检验结果表明:MM5模式在强降水预报方面比业务模式HLAFS有较明显的改进,能预报出某些中尺度降水的细化特征,对暴雨和大暴雨区预报有较好的参考价值;该模式可以作为城市预报的补充工具;就目前计算机和资料条件,比6 h时段更短的高频城市降水模式预报尚很难得到满意效果。     

The impact of observation systems on medium-range weather forecasting in a global forecast system

To investigate the impact of various types of data on medium-range forecasts, observing system experiments are performed using an assimilation algorithm based on the National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) reanalysis system. Data-denial experiments for radiosonde, satellite, aircraft, and sea surface observations, and selected data experiments for radiosonde and surface data, are conducted for the boreal summer of 1997 and the boreal winter of 1997/1998. The data assimilation system used in this study is remarkably dependent on radiosonde data, which provides information about the three-dimensional structure of the atmosphere. As expected, the impact of radiosonde observations on medium-range forecasts is strongly positive over the Northern Hemisphere and tropics, whereas the satellite system is most beneficial over the Southern Hemisphere. These results are also found in experiments simulating historical changes in observation systems. Over the tropics, assimilation without radiosonde observations generates unbalanced analyses resulting in unrealistic forecasts that must be corrected by the forecast model. Forecasts based on analysis from the observation data before the era of radiosonde observation are found to be less meaningful. In addition, the impacts on forecasts are closely related to the geographical distribution of observation data. The memory of observation data embedded in the analysis tends to persist throughout forecasts. However, cases exist where the effect of forecast error growth is more dominant than that of analysis error, e.g., over East Asia in summer, and where the deficiency in observations is supplemented or the imbalance in analysis is adjusted by the forecast model during the period of forecasts. Forecast error growth may be related to the synoptic correction performed by the data assimilation system. Over data-rich areas, analysis fields are corrected to a greater extent by the data assimilation system than are those over data-poor areas, which can cause the forecast model to produce more forecast errors in medium-range forecasts. It is found that even one month per season is sufficient for forecast skill verification in data impact experiments. Additionally, the use of upper-air observations is found to benefit areas that are downstream of observation data-rich areas.     

Extreme events in a changing climate: Variability is more important than averages

Extreme events act as a catalyst for concern about whether the climate is changing. Statistical theory for extremes is used to demonstrate that the frequency of such events is relatively more dependent on any changes in the variability (more generally, the scale parameter) than in the mean (more generally, the location parameter) of climate. Moreover, this sensitivity is relatively greater the more extreme the event. These results provide additional support for the conclusions that experiments using climate models need to be designed to detect changes in climate variability, and that policy analysis should not rely on scenarios of future climate involving only changes in means.The National Center for Atmospheric Research is sponsored by the National Science Foundation.