美国国家气象中心定量降雨预报

美国国家气象中心自１９６０年开始实施定量降雨预报及其检验方案直至１９９３年３３年间，定量降雨预报从广泛依靠预报员经验的人工方法转变到更多依靠对数值模式的解释和修正３的方法，这是预报技术的一大进步。     

Assessment of climate change adaptation costs for the U.S. road network

The U.S. road network is one of the nation's most important capital assets and is vital to the functioning of the U.S. economy. Maintaining this asset involves approximately $134 billion of government funds annually from Federal, State, and local agencies. Climate change may represent a risk or an opportunity to this network, as changes in climate stress will affect the resources necessary for both road maintenance and construction projects. This paper develops an approach for estimating climate-related changes in road maintenance and construction costs such that the current level of service provided by roads is maintained over time. We estimate these costs under a baseline scenario in which annual mean global temperature increases by 1.5 °C in 2050 relative to the historical average and a mitigation scenario under which this increase in mean temperature is limited to 1.0 °C. Depending on the nature of the changes in climate that occur in a given area, our analysis suggests that climate change may lead to a reduction in road maintenance and/or construction costs or an increase in costs. Overall, however, our analysis shows that climate change, if unchecked, will increase the annual costs of keeping paved and unpaved roads in service by $785 million in present value terms by 2050. When not discounted, this figure increases to $2.8 billion. Policies to reduce greenhouse gas emissions are estimated to reduce these costs by approximately $280 million in present value terms and by $885 million when not discounted. These costs vary substantially by region and time period, information that should be important for transportation planners at the national, state, and local levels.     

Engagement in the Third U.S. National Climate Assessment: commitment,capacity, and communication for impact

This paper examines the dynamics of energy investments and clean energy Research and Development (R&D) using a scenario-based modeling approach. Starting from the global scenarios proposed in the RoSE model ensemble experiment, we analyze the dynamics of investments under different assumptions regarding economic and population growth as well as availability of fossil fuel resources, in the absence of a climate policy. Our analysis indicates that economic growth and the speed of income convergence across countries matters for improvements in energy efficiency, both via dedicated R&D investments but mostly through capital-energy substitution. In contrast, fossil fuel prices, by changing the relative competitiveness of energy sources, create an economic opportunity for radical innovation in the energy sector. Indeed, our results suggest that fossil fuel availability is the key driver of investments in low carbon energy innovation. However, this innovation, by itself, is not sufficient to induce emission reductions compatible with climate stabilization objectives.     

Policy solutions in the U.S.

The paper focuses on relocation, retreat, zoning, insurance, and subsidy as major dimensions of coastal hazard mitigation measures that have resurfaced as potent forces for combating coastal inundation and climate change. It reviews the issues surrounding the practice of these measures and discusses compatibilities of policies, engineering measures, and natural defense. Property rights, development interest, and distorted financial incentives pose as main barriers to coastal relocation and retreat policies in hazard-prone areas. To understand and propose coastal adaptation solutions, the paper recommends place-based studies of local coastal adaptation strategies. Place-based studies offer an in-depth knowledge of local conditions specifically regarding the level of implementation of hazard mitigation policies, and shed light on important trade-offs and synergies of various hazard policies. In addition, coupling existing hazard mitigation policies with coastal management and community management can better inform long-term and comprehensive planning of coastal adaptation.     

Projected temperature changes indicate significant increase in interannual variability of U.S. maize yields

Climate change has the potential to be a source of increased variability if crops are more frequently exposed to damaging weather conditions. Yield variability could respond to a shift in the frequency of extreme events to which crops are susceptible, or if weather becomes more variable. Here we focus on the United States, which produces about 40% of the world’s maize, much of it in areas that are expected to see increased interannual variability in temperature. We combine a statistical crop model based on historical climate and yield data for 1950–2005 with temperature and precipitation projections from 15 different global circulation models. Holding current growing area constant, aggregate yields are projected to decrease by an average of 18% by 2030–2050 relative to 1980–2000 while the coefficient of variation of yield increases by an average of 47%. Projections from 13 out of 15 climate models result in an aggregate increase in national yield coefficient of variation, indicating that maize yields are likely to become more volatile in this key growing region without effective adaptation responses. Rising CO₂ could partially dampen this increase in variability through improved water use efficiency in dry years, but we expect any interactions between CO₂ and temperature or precipitation to have little effect on mean yield changes.     

U.S. Agriculture and Climate Change: New Results

We examined the impacts on U.S. agriculture of transient climate change assimulated by 2 global general circulation models focusing on the decades ofthe 2030s and 2090s. We examined historical shifts in the location of cropsand trends in the variability of U.S. average crop yields, finding thatnon-climatic forces have likely dominated the north and westward movement ofcrops and the trends in yield variability. For the simulated future climateswe considered impacts on crops, grazing and pasture, livestock, pesticide use,irrigation water supply and demand, and the sensitivity to international tradeassumptions, finding that the aggregate of these effects were positive for theU.S. consumer but negative, due to declining crop prices, for producers. Weexamined the effects of potential changes in El Niño/SouthernOscillation (ENSO) and impacts on yield variability of changes in mean climateconditions. Increased losses occurred with ENSO intensity and frequencyincreases that could not be completely offset even if the events could beperfectly forecasted. Effects on yield variability of changes in meantemperatures were mixed. We also considered case study interactions ofclimate, agriculture, and the environment focusing on climate effects onnutrient loading to the Chesapeake Bay and groundwater depletion of theEdward's Aquifer that provides water for municipalities and agriculture to theSan Antonio, Texas area. While only case studies, these results suggestenvironmental targets such as pumping limits and changes in farm practices tolimit nutrient run-off would need to be tightened if current environmentalgoals were to be achieved under the climate scenarios we examined     

Increasing major hail losses in the U.S.

Property losses due to hailstorms on April 13–14, 2006, resulted in Midwestern property losses that totaled $1.822 billion, an amount considerably more than the previous record high of $1.5 billion set by an April 2001 hail event. The huge April 2006 loss was largely due to multiple severe storms with frequent large hail hitting major metropolitan areas. A highly unstable air mass that developed on April 13 led to several supercell storms and they then produced large hailswaths across portions of Iowa, Illinois, Indiana, and Wisconsin during a 30-h period. This storm event and prior recent major hail losses occurred when several major hailstorms developed and then traveled for hundreds of kilometers. The nation’s top ten loss events during 1950–2006 reveal a notable temporal increase with most losses in the 1992–2006 period. Causes for the increases could be an increasing frequency of very unstable atmospheric conditions leading to bigger, longer lasting storms, and/or a greatly expanded urban society that has become increasingly vulnerable to hailstorms.     

Increasing prevalence of extreme summer temperatures in the U.S.

Human-caused climate change can affect weather and climate extremes, as well as mean climate properties. Analysis of observations and climate model results shows that previously rare (5th percentile) summertime average temperatures are presently occurring with greatly increased frequency in some regions of the 48 contiguous United States. Broad agreement between observations and a mean of results based upon 16 global climate models suggests that this result is more consistent with the consequences of increasing greenhouse gas concentrations than with the effects of natural climate variability. This conclusion is further supported by a statistical analysis based on resampling of observations and model output. The same climate models project that the prevalence of previously extreme summer temperatures will continue to increase, occurring in well over 50% of summers by mid-century.     

Nutrient enrichment and precipitation changes do not enhance resiliency of salt marshes to sea level rise in the Northeastern U.S.

In the Northeastern U.S., salt marsh area is in decline. Habitat change analysis has revealed fragmentation, displacement of high marsh by low marsh species, and marsh drowning, while development of adjacent uplands limits upslope migration. Measures of marsh vegetation loss for eight sites in Rhode Island and New York between ca.1970 and 2011 indicate that substantial loss has occurred over past decades, with higher loss rates found for lower elevation salt marshes. Using inundation experiments, field surveys, and LiDAR datasets, we developed an elevation-productivity relationship for Spartina alterniflora specific to the U.S. Northeast, and located current salt marsh orthometric heights on this curve. We estimate that 87 % of Northeastern salt marshes are located at elevations where growth is limited by inundation. By manipulating water column nutrients, precipitation, and elevation, we further found that altered precipitation regime was associated with significant reductions in biomass, and that nutrient enrichment adversely impacts organic matter accumulation and peat formation. These results provide evidence that Northeastern U.S. marshes are vulnerable to the effects of accelerated sea level rise, and that neither precipitation changes, nor cultural eutrophication, will contribute positively to long-term salt marsh survival.     

Some patterns of rainfall in the North-Central U.S.A.

Summary Weekly statistics of rainfall occurrence in the North-Central United States show certain preferences for precipitation in early April and early June. Dry spells are most common in late October, Mid-November, Mid-December and at the end of the year. A northward migration of the rainy condition in spring and early summer is linked with a comparable motion of the jet stream. The possible connection of these spells with singularities elsewhere andBowen's rain statistics is discussed but no firm relations can be established.

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Zusammenfassung Wöchentliche Werte der Niederschlagswahrschein-lichkeit in der nördlichen Mittelzone der Vereinigten Staaten zeigen bevorzugte Regenperioden zu Anfang der Monate April und Juni. Trockene Wochen sind am häufigsten im Spätoktober, Mitte November, Mitte Dezember und zur Jahreswende. Eine nordwärts gerichtete Wanderung der Regentendenz im Frühling und Frühsommer wird mit einer gleichzeitigen Verschiebung des jet stream in Zusammenhang gebracht. Eine mögliche Beziehung dieser Witterungsfälle zu den Singularitäten in anderen Gegenden und zuBowens Regenstatistik wird erörtert, doch sind gesicherte Beziehungen nicht feststellbar.

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Résumé Des valeurs hebdomadaires de la probabilité de pluie dans la zone moyenne septentrionale des Etats-Unis mettent en évidence des périodes pluvieuses particulièrement fréquentes au début des mois d'avril et de juin. Des semaines sèches apparaissent le plus souvent à la fin d'octobre, au milieu de novembre et de décembre et vers le Nouvel-An. Un déplacement vers le Nord de la tendance pluvieuse au printemps et au début de l'été peut être mis en parallèle avec un déplacement simultané du jet stream. On ne peut pas déceler de relations sûres entre ces cas de pluviosité et les singularités dans d'autres régions, pas plus qu'avec la statistique pluvieuse deBowen.

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With 4 Figures     

The effect of global climate change, population distribution, and climate mitigation on building energy use in the U.S. and China

Climate change will affect the energy system in a number of ways, one of which is through changes in demands for heating and cooling in buildings. Understanding the potential effect of climate change on heating and cooling demands requires taking into account not only the manner in which the building sector might evolve over time, but also important uncertainty about the nature of climate change itself. In this study, we explore the uncertainty in climate change impacts on heating and cooling requirement by constructing estimates of heating and cooling degree days (HDD/CDDs) for both reference (no-policy) and 550 ppmv CO₂ concentration pathways built from three different Global Climate Models (GCMs) output and three scenarios of gridded population distribution. The implications that changing climate and population distribution might have for building energy consumption in the U.S. and China are then explored by using the results of HDD/CDDs as inputs to a detailed, building energy model, nested in the long-term global integrated assessment framework, Global Change Assessment Model (GCAM). The results across the modeled changes in climate and population distributions indicate that unabated climate change would cause building sector’s final energy consumption to decrease modestly (6 % decrease or less depending on climate models) in both the U.S. and China by the end of the century as decreased heating consumption more than offsets increased cooling using primarily electricity. However, global climate change virtually has negligible effect on total CO₂ emissions in the buildings sector in both countries. The results also indicate more substantial implications for the fuel mix with increases in electricity and decreases in other fuels, which may be consistent with climate mitigation goals. The variation in results across all scenarios due to variation of population distribution is smaller than variation due to the use of different climate models.     

Climate change,economic growth and energy policy: A recommended U.S. strategy for the coming decades an editorial

Alan D. Hecht Director of the National Climate Program Office, an Office created by Congress in 1978 to coordinate a U.S. program of climate research and services. The office is located in the National Oceanic and Atmospheric Administration within the Department of Commerce; Bo R. Döös Member of the Swedish Academy of Sciences, is a visiting UCAR scientist (University Corporation for Atmospheric Research) in the NCPO. Views expressed in this editorial are of the authors and do not reflect any official views of UCAR or NOAA, DOC, or other federal agencies within the NCP.     

Assessment of Planetary-Boundary-Layer Schemes in the Weather Research and Forecasting Model Within and Above an Urban Canopy Layer

We tested several planetary-boundary-layer (PBL) schemes available in the Weather Research and Forecasting (WRF) model against measured wind speed and direction, temperature and turbulent kinetic energy (TKE) at three levels (5, 9, 25 m). The Urban Turbulence Project dataset, gathered from the outskirts of Turin, Italy and used for the comparison, provides measurements made by sonic anemometers for more than 1 year. In contrast to other similar studies, which have mainly focused on short-time periods, we considered 2 months of measurements (January and July) representing both the seasonal and the daily variabilities. To understand how the WRF-model PBL schemes perform in an urban environment, often characterized by low wind-speed conditions, we first compared six PBL schemes against observations taken by the highest anemometer located in the inertial sub-layer. The availability of the TKE measurements allows us to directly evaluate the performances of the model; results of the model evaluation are presented in terms of quantile versus quantile plots and statistical indices. Secondly, we considered WRF-model PBL schemes that can be coupled to the urban-surface exchange parametrizations and compared the simulation results with measurements from the two lower anemometers located inside the canopy layer. We find that the PBL schemes accounting for TKE are more accurate and the model representation of the roughness sub-layer improves when the urban model is coupled to each PBL scheme.     

干旱指标研究进展及中美两国国家级干旱监测

分析比较了国内外常用的一些干旱指数如降水量距平、标准化降水指数及PDSI等的原理和计算方法。对美国和中国国家级干旱监测业务的发展与现状进行了综述,并详细地介绍了两国干旱监测业务流程、监测方法、产品内容及各自的干旱等级规定、影响评估及预警情况等。     

美国退出《巴黎协定》的原因、影响及中国的对策

综合应用定性与定量分析方法,分析美国宣布退出《巴黎协定》的原因,评估美国退出《巴黎协定》对《巴黎协定》履约前景的影响并提出中国的应对策略。美国宣布退出《巴黎协定》是全球气候治理的重大事件,将对《巴黎协定》的履约产生多重影响,包括将对《巴黎协定》的普遍性构成严重伤害,动摇以《巴黎协定》为核心的国际气候治理体制的基础;将导致《巴黎协定》履约中的领导力赤字问题显著恶化;可能引发不良示范效应,降低国际气候合作信心;将会对其他地区碳排放空间形成不可忽视的挤压,进而推高其他地区碳减排成本;美国大幅削减国际气候援助资金将削弱发展中国家减缓和适应气候变化的能力;美国延迟采取气候行动可能导致全球减排错失最佳时间窗口;美国大幅削减气候变化基础研究经费将对未来全球气候科学研究产生不利影响,进而影响《巴黎协定》履约谈判的权威性等,最后显著加大实现温控目标的难度,甚至导致目标无法实现。就全球气候治理的全局而言,全球气候治理的框架不会坍塌,但确实会受到动摇;全球气候治理的进程不会逆转,但确实会迟滞。美国宣布退出《巴黎协定》使中国面临多重挑战,其中之一是中国面临急剧上升的期望中国承担全球气候治理领导的国际压力。为此,中国对内应实现国家自主贡献的上限目标,对外应积极重建全球气候治理集体领导体制,即用C5取代G2,同时继续努力改变美国对气候变化的消极立场。     

Institutionalizing delay: foundation funding and the creation of U.S. climate change counter-movement organizations

This paper conducts an analysis of the financial resource mobilization of the organizations that make up the climate change counter-movement (CCCM) in the United States. Utilizing IRS data, total annual income is compiled for a sample of CCCM organizations (including advocacy organizations, think tanks, and trade associations). These data are coupled with IRS data on philanthropic foundation funding of these CCCM organizations contained in the Foundation Center’s data base. This results in a data sample that contains financial information for the time period 2003 to 2010 on the annual income of 91 CCCM organizations funded by 140 different foundations. An examination of these data shows that these 91 CCCM organizations have an annual income of just over $900 million, with an annual average of $64 million in identifiable foundation support. The overwhelming majority of the philanthropic support comes from conservative foundations. Additionally, there is evidence of a trend toward concealing the sources of CCCM funding through the use of donor directed philanthropies.     

国外气候资料整编方法介绍——以美国、加拿大为例

世界气象组织认为30a的长度可以消除气候的年变化,建议各国以30a为标准为政府部门以及科研工作者提供气候标准值,同时,包括中国在内的许多世界气象组织成员也规定每隔10a对气候标准值进行一次更新。上次更新的气候标准值时间是1971～2000年。而2010年就要来临,需要准备整理新的30a气候标准值（1981～2010年）,因此,对上次（即1971—2000年）美、加的整编方法和要素进行了介绍和总结,从而为我国新的气候标准值的整编提供一个参考。