A Comparison Study of Tropical Pacific Ocean State Estimation： Low-Resolution Assimilation vs. High-Resolution Simulation

A comparison study is performed to contrast the improvements in the tropical Pacific oceanic state of a low-resolution model respectively via data assimilation and by an increase in horizontal resolution.A low resolution model (LR) (1°lat by 2°lon) and a high-resolution model (HR) (0.5°lat by 0.5°lon) are employed for the comparison. The authors perform 20-yr numerical experiments and analyze the annual mean fields of temperature and salinity. The results indicate that the low-resolution model with data assimilation behaves better than the high-resolution model in the estimation of ocean large-scale features.From 1990 to 2000, the average of HR's RMSE (root-mean-square error) relative to independent Tropical Atmosphere Ocean project (TAO) mooring data at randomly selected points is 0.97℃ compared to a RMSE of 0.56℃ for LR with temperature assimilation. Moreover, the LR with data assimilation is more frugal in computation. Although there is room to improve the high-resolution model, the low-resolution model with data assimilation may be an advisable choice in achieving a more realistic large-scale state of the ocean at the limited level of information provided by the current observational system.     

The REMIND-R model: the role of renewables in the low-carbon transformation—first-best vs. second-best worlds

Can near-term public support of renewable energy technologies contain the increase of mitigation costs due to delays of implementing emission caps at the global level? To answer this question we design a set of first and second best scenarios to analyze the impact of early deployment of renewable energy technologies on welfare and emission timing to achieve atmospheric carbon stabilization by 2100. We use the global multiregional energy?Ceconomy?Cclimate hybrid model REMIND-R as a tool for this analysis. An important design feature of the policy scenarios is the timing of climate policy. Immediate climate policy contains the mitigation costs at less than 1% even if the CO₂ concentration target is 410?ppm by 2100. Delayed climate policy increases the costs significantly because the absence of a strong carbon price signal continues the carbon intensive growth path. The additional costs can be decreased by early technology policies supporting renewable energy technologies because emissions grow less, alternative energy technologies are increased in capacity and their costs are reduced through learning by doing. The effects of early technology policy are different in scenarios with immediate carbon pricing. In the case of delayed climate policy, the emission path can be brought closer to the first-best solution, whereas in the case of immediate climate policy additional technology policy would lead to deviations from the optimal emission path. Hence, technology policy in the delayed climate policy case reduces costs, but in the case of immediate climate policy they increase. However, the near-term emission reductions are smaller in the case of delayed climate policies. At the regional level the effects on mitigation costs are heterogeneously distributed. For the USA and Europe early technology policy has a positive welfare effect for immediate and delayed climate policies. In contrast, India looses in both cases. China loses in the case of immediate climate policy, but profits in the delayed case. Early support of renewable energy technologies devalues the stock of emission allowances, and this effect is considerable for delayed climate policies. In combination with the initial allocation rule of contraction and convergence a relatively well-endowed country like India loses and potential importers like the EU gain from early renewable deployment.     

Contestations around water allocation during a climate crisis in India: The case of ‘IPL vs. drought’

In this paper, we analyze a major controversy regarding the allocation of water for Indian Premier League (IPL) cricket matches during a period of extreme drought in the state of Maharashtra in India. We use a discursive approach to public policy to understand water policy production and to analyze the competing narratives on water advanced by opposing discourse coalitions during the ‘IPL vs. drought’ controversy. We find that the neoliberal view of ‘water as an economic good’ is dominant and institutionalized in the water allocation priorities determined by the Maharashtra State government. This is resisted by civil society actors like Loksatta and by the Indian judiciary, who view ‘water as a Human Right.’ Our reading of the ‘IPL vs. drought’ public interest litigation (PIL) shows that Loksatta’s decision to target water allocation for the IPL through the Courts leverages the popularity of the IPL in the Indian media, as well as the uneven unfolding of neoliberalism across institutions of the state in India. At the same time, Loksatta’s PIL focuses solely on the IPL and does not pay attention to the water allocation to larger users like industry and sugarcane cultivation that best represent the institutionalization of the neoliberal view of water in Maharashtra. We argue that the focus on the IPL makes it the site of contesting water policy on ideological grounds. We conclude by examining the challenge provided by Loksatta’s PIL to the dominant neoliberal view of water in Maharashtra.     

Heavy Rainfall Ensemble Prediction： Initial Condition Perturbation vs Multi-Physics Perturbation

Mesoscale ensemble is an encouraging technology for improving the accuracy of heavy rainfall predictions. Occurrences of heavy rainfall are closely related to convective instability and topography. In mid-latitudes, perturbed initial fields for medium-range weather forecasts are often configured to focus on the baroclinic instability rather than the convective instability. Thus, alternative approaches to generate initial perturba- tions need to be developed to accommodate the uncertainty of the convective instability. In this paper, an initial condition perturbation approach to mesoscale heavy rainfall ensemble prediction, named as Different Physics Mode Method （DPMM）, is presented in detail. Based on the PSU/NCAR mesoscale model MM5, an ensemble prediction experiment on a typical heavy rainfall event in South China is carried out by using the DPMM, and the structure of the initial condition perturbation is analyzed. Further, the DPMM ensem- ble prediction is compared with a multi-physics ensemble prediction, and the results show that the initial perturbation fields from the DPMM have a reasonable mesoscale circulation structure and could reflect the prediction uncertainty in the sensitive regions of convective instability. An evaluation of the DPMM ini- tial condition perturbation indicates that the DPMM method produces better ensemble members than the multi-physics perturbation method, and can significantly improve the precipitation forecast than the control non-ensemble run.     

Trends of surface PM_(2.5) over Beijing–Tianjin–Hebei in 2013–2015 and their causes: emission controls vs. meteorological conditions

文章以2013年为基准年对京津冀地区2014–15年的PM_(2.5)浓度变化趋势作了分析,并结合区域空气质量模式NAQPMS研究了气象条件和大气控制措施对PM_(2.5)浓度变化的贡献。研究结果表明:京津冀地区2014–15年PM_(2.5)年平均浓度较2013年有明显下降,其中:南部城市(邢台、邯郸、石家庄和沧州)PM_(2.5)浓度下降由气象条件和排放源控制共同作用,排放源控制起主导作用;天津市和廊坊市2014年PM_(2.5)浓度下降有赖于排放源控制,气象条件总体不利于污染物扩散,2015年则由气象条件和排放源控制共同作用,以排放源控制为主导作用;受制于不利气象条件影响,北京市PM_(2.5)浓度下降幅度较其它污染城市更小(2014和2015年分别为4%和9%)。在采暖季和非采暖季的对比中,2015年采暖季期间,整个区域重污染下的PM_(2.5)浓度下降幅度显著大于其它时期,这表明当前该区域大气污染治理正朝精细化的方向发展。     

(九)A.I.D.的作图法

本讲介绍如何在图上进行A.I.D.的分类筛选预报,它的优点是避免了计算,利用和天气预报中常用的点聚图方法相类似的画法,就可以作出预报。现用一个实例来说明。 考虑长江中下游汉口、九江、芜湖、南京、上海五站平均5—8月降水总量(y),选用了1952—1976年25年资料用五个气象要素作为因子。 因子:x_1是一月0—150°E,45—65°N的纬向指数I_z, x_2是一月份欧洲大型环流型C型天数, x_3是一月份长江流域六站降水量∑R_1月, x_4是一月份长江流域六站温度∑月,     

The Answer to the Comments by Yu. D. Resnyanskii to the Papers by L. Kh. Ingel’ and A. A. Makosko

The critical comments to the publications by the authors ofthe present paper that were given in [10] (the publications deal with the possible effects of gravity field inhomogeneities in the atmosphere and ocean) are discussed. In the authors' opinion, some remarks are groundless. At the same time, the authors agree with one of the important remarks that the results of their paper concerning studies of the ocean disturbances are to be reconsidered.     

(八)A.I.D.方法的一般理论

第七讲的方法,如果不是用极差进行分割,而是用变差进行分割,就成为一般书上所说的A.I.D.方法(筛选因子的一个新方法)。实际上,A.I.D.方法仅仅是最优分割法的一种灵活运用。为了能比较清楚地说明这一点,我们就依照一般书上的写法来介绍A.I.D.方法,然后,再说明它与最优分割法的关系。     

Vol.19 No.1 2002 CONTENTS

Instability of the East Asian Summer Monsoon-ENSO RelationsW ang Huijun (3E％) ......................................................................................................... 1-1 1Associations between the Western North Pacific Monsoon and the South China Sea Monsoon LuRiyu (ffiBf\Chan-Su Ryu, and Buwen Dong .................................................................. 12-24Parameterization of Longwave Optical Properties for Water CloudsWangHongqi (fiEJg-t) an…     

Vol.11 No.1 1994 CONTENTS

NO.1The Vertical Transport of Air Pollutants by Convective Clouds Part II:Transport of Soluble Gases and Sensitivity Tests ………………………………………………………………………Kong Fanyou(孔凡铀)(1)The Vertical Transport ofAir Pollutants by Convective Clouds Cloud Systems …·…………………………………………··Part III:Transport Features of Different Kong Fanvou(孔凡铀)and 0h Yu(秦瑜)(1 3)Study on Atmospheric Ozone in East Asia with Satellite Observation ……………………………     

Comment on “Trends and low frequency variability of extra-tropical cyclone activity in the ensemble of twentieth century reanalysis” by Xiaolan L. Wang,Y. Feng,G. P. Compo,V. R. Swail,F. W. Zwiers,R. J. Allan,and P. D. Sardeshmukh,Climate Dynamics, 2012

The main subject of this article is to comment on the issue of storminess trends derived from the twentieth century reanalysis (20CR) and from observations in the North Atlantic region written about in Wang et al. (Clim Dyn 40(11–12):2775–2800, 2012). The statement that the 20CR estimates would be consistent with storminess derived from pressure-based proxies does not hold for the time prior to 1950.     

爱格耐F.M.EXNER传

二月七日(民国十九年)平旦,奥大利中央气象学及地力学研究院院长,维也纳大学大地物理学教授爱格耐卒於维也纳。一心悸病,而促其寿纪,而当代气象学,丧一硕儒,而德意志气象学者之林,丧一模楷,而故旧朋好,丧一信友。年来爱格耐君,体气日渐颓败,凡有幸得     

The death spiral of coal in the U.S.: will changes in U.S. Policy turn the tide?

ABSTRACT

The administration of U.S. President Donald Trump has promised to stop the ongoing spiralling down of the U.S. coal industry. We discuss the origins of the decline and assess the effects of policy interventions by the Trump administration. We find that, with fierce competition from natural gas and renewables, a further decrease of coal consumption must be expected by the old and inefficient U.S. coal-fired electricity generation fleet. By contrast, we consider the overly optimistic (for coal producers) view of the U.S. Energy Information Agency, and test whether the tide for the U.S. coal industry could turn as a result of three potential support measures: (i) revoking the Clean Power Plan (CPP); (ii) facilitating access to the booming Asian market; and (iii) enhanced support for Carbon Capture, Transport and Storage (CCTS) technology. We investigate the short-term and long-term effects on U.S. coal production using a comprehensive partial equilibrium model of the world steam coal market, COALMOD-World (Holz, Haftendorn, Mendelevitch, & von Hirschhausen, 2016). We find that revoking the CPP could stop the downward trend of steam coal consumption in the U.S., but even allowing for additional exports, will not lead to a return of U.S. coal production to the levels of the 2000s, that is, over 900?Mt per year. When global steam coal use is aligned with the 2°C climate target, U.S. steam coal production drops to around 100?Mt per year by 2030 and below 50?Mt by 2050, even if CCTS is available and exports via the U.S. West Coast is possible.

Key policy insights

• Declining U.S. coal use is primarily caused by competition from natural gas and renewables not by environmental regulation of the coal sector.

• Without substantial policy support, U.S. coal-fired generation capacity will continue to decline rapidly.

• Revoking the Clean Power Plan will lead to about one eighth higher U.S. coal production in the next years.

• Carbon Capture, Transport and Storage does not prevent the rapid decline of coal use required under stringent climate policy.

• Even in the most extreme pro-coal scenarios with additional export possibilities, U.S. coal production will not return to its pre-2010 levels.

     

SYSTEMATIC FORECAST ERROR IN U.S.NMC OPERATIONAL SPECTRAL MODEL

The distribution of monthly mean error of NMC model forecasts and its seasonal variation are investi-gated.The ratio of monthly mean error to standard deviation is used here to find out that the region where acorrection of systematic error is needed and appropriate is mainly in low latitudes.The improvement,afterthe model's vertical resolution and some physical parameters were changed from April 1985,is investigated,andthe NMC operational model forecasts have also compared with those of ECMWF.     

Reply to comment by Ben-Zvi,A., D. Rosenfeld and A. Givati on the paper: Levin,Z., N. Halfon and P. Alpert, “Reassessment of rain experiments and operations in Israel including synoptic considerations,” Atmos. Res. 97, 513–525. DOI: 10.1016/j.atmosres.2010.06.011

Levin et al. (2010; hereafter LHA) (Levin, Z., Halfon, N., Alpert, P., 2010. Reassessment of rain experiments and operations in Israel including synoptic considerations. Atmos. Res. 97, 513–525. DOI:10.1016/j.atmosres.2010.06.011.), reanalyzed the results of the operational seeding in northern Israel between 1975 and 2007 and the preceding Israel 2 cloud seeding experiment (1969–1975) and concluded that there is no net increase in precipitation over the target areas. Our analysis revealed that a synoptic bias during Israel 2 is one of the reasons for the apparent positive effect of seeding in the northern target area and the negative effect in the southern area both of which disappeared in the following experiment in the south (Israel 3; 1975–1995) and the operational seeding in the north.Ben-Zvi et al. (2010;hereafter BRG) criticized our paper primarily on the ground that we did not consider the positive results of Israel 1 experiment (1960–1967). It should be noted that in Israel 1 different seeding lines were used from those in both Israel 2 and the operational period. In addition, its raw data is not accessible anymore for reanalysis. Furthermore, Israel 2 had been designed as a confirmatory cross-over experiment to Israel 1 and failed to reproduce its promising results with double ratio (DR) of ~ 1.00, namely, zero rainfall enhancements. The same DR values were also found in Israel 3 and in the operational seeding. Therefore, because of the differences in the two experiments, the lack of access to the raw data and the disappointing results of the confirmatory experiment, we decided to concentrate our analysis on the more recent seeding activities.The attempt by BRG to explain the reduction of the DR to ~ 1.00 in the operational seeding period by the suppression due to pollution have been disproved by Alpert et al., 2008, Alpert et al., 2009 and also fail to explain the sharp decline of the target/control ratio right at the beginning of the operational seeding period when the lucky draw in this area came to its end (see LHA).     

挪威学派气象学家的研究工作和生平:J.皮叶克尼斯、H.索尔伯格和T.贝吉龙

气象学的挪威学派(Norwegian School,又称卑尔根学派(Bergen School of Meteorology))由挪威气象学家V.皮叶克尼斯(Vilhelm Bjerknes)创立,在20世纪大气科学发展中贡献卓著,他们创立的极锋理论和锋面气旋模型对现代气象学影响深远。本文以挪威学派为线索,系统介绍了该学派的创立始末、发展历程和主要学术成就,分别对挪威学派三位重要气象学家J.皮叶克尼斯(Jacob Bjerknes)、H.索尔伯格(Halvor Solberg)及T.贝吉龙(Tor Bergeron)的生平经历、研究工作和重要研究成果的形成过程进行了回顾,包括锋面气旋模型和极锋理论、索尔伯格的惯性波研究、贝吉龙冷云降水过程等,并对其贡献进行了总结。     

Examination of diurnal temperature range at coterminous U.S. stations during Sept. 8–17, 2001

The tragic events of Sept. 11, 2001 resulted in suspension of commercial flights over North America. It has been suggested that the diurnal temperature range (DTR) increased due to an absence of airplane contrails. This study examined hourly data observed at 288 stations. The average DTR, temperature, maximum/minimum temperature and relative humidity were found for each day in 2001 and compared to the average value occurring during 1975–2005. For the coterminous U.S., the DTR averaged over the period Sept. 11–14, 2001 was about 1°C larger than that found for the 3?days prior and after the flight ban. However, the day-to-day DTR does not correlate well with the flight ban. Plots of the change in DTR throughout North America during Sept. 8–17 show changes consistent with the natural progression of weather systems.