Stable and Unstable Eigensolutions of Laplace''''s Tidal Equations for Zonal Wavenumber Zero

Laplace's tidal equations are of great importance in various fields of geophysics. Here, the special case of zonal symmetry (zonal wavenumber m = 0) is investigated, where degenerate sets of eigensolutions appear. New results are presented for the inclusion of dissipative processes and the case of unstable conditions. In both instances the (nonzero) eigenfrequencies are complex. In the latter case, additional stable (i.e. real) eigenfrequencies appear in the numerical results for the absolute value of the Lambparameter ε being larger than a critical value εc. Further, it is shown that any degeneracies are removed through the inclusion of dissipation. Moreover, asymptotic relations are derived employing the relation of Laplace's tidal equations for m = 0 to the spheroidal differential equation. The implications of these findings to numerical techniques are demonstrated and results of computations are presented.     

Thermodynamic consistency of Raoult’s Law and Henry’s Law approaches for multiphase organic aerosol partitioning

Partitioning of semivolatile organic compounds between gas, organic aerosol, and aqueous aerosol phases has been described in atmospheric models using Raoult’s Law and/or Henry’s Law, with activity coefficients accounting for nonideal behavior in the aerosol solutions. Raoult’s Law and Henry’s Law are thermodynamically consistent with each other as long as the parameters defining their different reference states are accurately known. Unfortunately, saturation vapor pressures, Henry’s law constants, and activity coefficients for organic aerosol compounds must typically be estimated. As a result, thermodynamic inconsistencies can arise when using Raoult’s and Henry’s Law approaches together due to errors in estimation methods. A test of predicted partitioning parameters for representative semivolatile organics suggests overall errors of at least an order of magnitude. Box model simulations with a simplified partitioning scenario demonstrate that these estimation errors can significantly alter partitioning for many compounds and, more importantly, that thermodynamic inconsistencies will lead to even greater errors than those due solely to uncertain parameters. To avoid these errors, a common reference state should be used to define equilibrium among all phases, improved estimation methods and measurements should continue to be pursued, and alternative reference states that better represent typical organic aerosol mixtures should be explored.     

Past and future carbon sequestration benefits of China’s grain for green program

Carbon sequestration through ecological restoration programs is an increasingly important option to reduce the rise of atmospheric carbon dioxide concentration. China’s Grain for Green Program (GGP) is likely the largest centrally organized land-use change program in human history and yet its carbon sequestration benefit has yet to be systematically assessed. Here we used seven empirical/statistical equations of forest biomass carbon sequestration and five soil carbon change models to estimate the total and decadal carbon sequestration potentials of the GGP during 1999–2050, including changes in four carbon pools: aboveground biomass, roots, forest floor and soil organic carbon. The results showed that the total carbon stock in the GGP-affected areas was 682 Tg C in 2010 and the accumulative carbon sink estimates induced by the GGP would be 1697, 2635, 3438 and 4115 Tg C for 2020, 2030, 2040 and 2050, respectively. Overall, the carbon sequestration capacity of the GGP can offset about 3%–5% of China’s annual carbon emissions (calculated using 2010 emissions) and about 1% of the global carbon emissions. Afforestation by the GGP contributed about 25% of biomass carbon sinks in global carbon sequestration in 2000–2010. The results suggest that large-scale ecological restoration programs such as afforestation and reforestation could help to enhance global carbon sinks, which may shed new light on the carbon sequestration benefits of such programs in China and also in other regions.     

Dynamic Behavior and Unstable State Evolution of Ocean-Atmosphere Oscillator

1. IntroductionThe Southern Oscillation and El Ni?o/La Ni?aare anomalous events which occur in the tropical at-mosphere and ocean respectively, and their physicalmechanisms have been successively studied in the re-cent half century. Bjerknes (1969) pointed out thatthe close link between Walk circulation and SST inthe equatorial Pacific is the manifestation of the inter-action of tropical atmospheric and oceanic motions.Therefore, Southern Oscillations and El Ni?o cycleswere described as …     

Stern’s Review and Adam’s fallacy

The Stern Review has played an enormous role in making the world of business aware of the challenge of long-term climate change. In order to make real progress on the basis of this awareness, it is important to pay attention to the difference between human suffering and losses of gross domestic product (GDP). The Review has compared climate change to experiences of suffering like World War I. That war, however, hardly affected global GDP. The long-term damages to be expected from business-as-usual greenhouse gas emissions include loss of the coastal cities of the world over the next millennia. This would be an act of unprecedented barbarism, regardless of whether it would slow down economic growth or perhaps even accelerate it. Business leaders worried about climate change need to pay attention to the tensions between ethical and economic concerns. Otherwise, a credibility crisis threatens global climate policy. An important step to establish the credibility needed for effective climate policy will be to gradually move towards a regime where emission permits are auctioned, not handed out as hidden subsidies. The revenues generated by permit auctions should be used to establish a global system of regional climate funds.     

Zonal Indices for Europe 1780–1995 and Running Correlations with Temperature

Zonal circulation indices with monthly and seasonal resolutions are calculated based on gridded monthly mean sea-level pressure (SLP) reconstructed back to 1780 by Jones et al. (1999): an overall zonal index for the whole European area between 30°W and 40°E, a normalized index for the North Atlantic Oscillation (NAO), and a similar index for Central Europe. For most of the early time up to the mid-nineteenth century we get preferred negative anomalies in the NAO index for winter and preferred positive ones for summer. The turning points in cumulative anomalies - during the 1850s for winter and during the 1870s for summer - indicate a transition period in circulation modes from the "Little Ice Age" to the recent climate in Europe. Running correlations (time windows of 21 years with time steps of one year) between zonal indices and regional temperature time series from Central England, Stockholm and two Central European regions are all indicating major instationarities in these relationships with a particular decline in winter correlations around the turn from the nineteenth to the twentieth centuries. Aspects of different circulation patterns linked with these variabilities are discussed.     

The development of children’s environmental attitude and behavior

Environmental attitude and behavior are at the roots of a sustainable future, yet little is known about their developmental origins in early childhood. This longitudinal study is the first to examine how children’s environmental attitude and behavior develop throughout childhood (ages 7 to 18, N = 118). Environmental attitude and behavior form around the age of 7, increase until the age of 10, level off until the age of 14, and then decline again. Environmental behavior develops from childhood to early adolescence and starts consolidating from age 10 onwards, whereas environmental attitude remains in flux at least through early adulthood.     

Growth and Decay of an Extra-Tropical Cyclone’s PV-Tower

Summary The surface low of a mature extra-tropical cyclone is often surmounted by a troposphere-spanning column of anomalously high potential vorticity (PV). In this study the growth and decay of such a PV-tower is traced for one major North Atlantic frontal-wave cyclone using the ECMWF analysis fields and adopting both Eulerian and Lagrangian frameworks. A tower’s structure and composition relates intimately to the strength, scale and structure of the associated surface cyclone. It is shown that the tower comprised a vertical superposition of three elements: (?) a quasi-seclusion of stratospheric air extruded from an upper-level trough, (ℬ) a mid-tropospheric layer of intermingled air from diverse sources, but with a substantial component originating from the system’s cold front, and (?) a low-tropospheric layer of diabatically-induced PV that was linked to and originated from flow along a bent-back warm front. An examination of the tower’s growth and decay helps identify the factors influencing the onset and rapidity of the cyclogenesis. There was first an in-phase development of a surface baroclinic wave with the precursor of element (?), and also the emergence of element (ℬ) in the form of a low-level elongated band of PV aligned along the cold front. Thereafter a short period of rapid growth was marked by the appearance of a low-level band of PV along the warm front (element ?), and it co-spiraled with and beneath the upper-level stratospheric intrusion (element ?). Demise of the tower followed a loss of amplitude of its central portion and a loss of coherency aloft. Evidence of the modulating as opposed to the dominating influence of diabatic processes upon the cyclone’s structure and strength is derived from consideration of: the tower’s durable and ephemeral potential vorticity, the PV production along the warm front, and sets of model simulations of the event that selectively suppress diabatic PV production. Received July 9, 1999 Revised December 2, 1999     

Sources of information for farmers’ adaptation practices in Canada’s Prairie agro-ecosystem

Successful adaptation assumes the availability of appropriate information for groups potentially impacted by climate change. This research examines information available to help farmers in the Canadian Prairies to adapt, with focus on information related to soil and water conservation practices, such as preserving wetlands and maintaining shelterbelts and groundcover, considered particularly important for this region. Results of 28 semi-structured interviews carried out with producers in two Prairie provinces, Alberta and Manitoba, revealed that information regarding soil and water conservation practices comes from a variety of sources. These included industry, government, producer and conservation organizations, social sources of information and personal experience, and media. Producers were more open to new practices when they could learn them through observation, trials, and two-way dialogue. There appears to be a general lack of producer organization involvement, and dearth of government information, direction, and coordination for climate change adaptation. Information from government and producer organizations can be important for the co-production of knowledge that can lead to successful adaptation.     

Numerical Simulation and Observational Analysis of the Bora of Pag’s Ribs

The severe bora case that lasted from 13 to 15 November 2004 has been selected for the analysis of the bora of Pag’s ribs, which occurs in the northern part of the eastern Adriatic coast over the Pag island area (Croatia). According to the measurements from automatic stations, the MM5 numerical model is successful in the 10-min mean wind speed prediction at 10-m height. The vertical analysis of the wind speed and potential temperature also gave satisfactory results. At the commencement of the bora the modelled wind had a magnitude of 20ms⁻¹ at 10-m height in the Pag island area, which sharply attenuated in the cross direction and to the open sea. In this way the model has proved successful in predicting the characteristics of the bora of Pag’s ribs. Potential vorticity (PV) at 600m has lower values within PV banners than during the developed bora. The consequence is a strong jet emanating from the nearest gap. The vertical cross-sections through the centre of the gap point out a permanent hydraulic-like flow. At the time of the bora of Pag’s ribs the highest modelled turbulent kinetic energy is found in the jump-like region above the inversion and within the boundary layer along the lower boundary, ranging from 6–8m² s⁻². It is concluded that the dissipation in the hydraulic jumps and the wave breaking regions are the reasons for PV generation.     

China’s future emission reduction challenge and implications for global climate policy

In December 2015, China joined 190 plus nations at Paris in committing to the goal of limiting the rise in global average temperature to ‘well below’ 2°C. Carbon budget analysis indicates that goal will require not only that the European Union and US reduce their emissions by greater than 80% by 2050, but that China at least comes close to doing so as well, if any budget is to be left over for the rest of the world (RoW). Given that RoW emissions are, and will come from, low-income and emerging nations, China’s emission reduction potential is of no small consequence. In this paper, we use the Kaya identity to back out changes in the drivers of CO₂ emissions, including gross domestic product (GDP), energy intensity (E/GDP) and the carbon content of energy (C/E), the latter two calculated to be consistent with China’s long-term GDP growth rate forecasts and specified 2050 CO₂ emission reduction targets. Our results suggest that even achieving China’s highly optimistic renewable energy targets will be very far from sufficient to reduce China’s CO₂ emissions from 9.1?Gt it emitted in 2015 to much below 3?Gt by 2050. Even reducing its emissions to 5?Gt will be challenging, yet this falls far short of what is needed if the world is to meet its ‘well below’ 2°C commitment.

Key policy insights

• Under the Paris Agreement there is great pressure on China to very substantially reduce its emissions by 2050.

• While China has attached great importance to renewables and nuclear energy development, even achieving the most optimistic targets would not be sufficient to reduce China’s emissions from 9.1?Gt in 2015 to much below 3?Gt by 2050.

• China’s emission reduction potential falls far short of what is needed if the world is to meet its Paris ‘well below’ 2°C commitment, even if the EU and US reduce their emissions to zero by 2050.

• Emission cuts consistent with the Paris Agreement will require that China and the world give much greater weight to advancing research and development of scalable low-, zero- and negative-carbon sources and technologies.

     

China’s pathway to carbon neutrality for the iron and steel industry

As a hard-to-abate sector, the iron and steel industry is responsible for 22% of China’s total carbon emissions and therefore plays a crucial role in achieving China’s carbon peaking and neutrality target. Nearly 90% of China’s iron and steel output is produced with coal-based blast furnaces, which results in high carbon emission intensity. To peak China’s carbon emissions and achieve the carbon neutrality target, it is essential to accelerate the application of breakthrough technologies such as carbon capture and storage (CCS) and hydrogen-based steel-making. This paper estimates the future CO₂ emissions from China’s iron and steel industry in pathways that consider the influence of different technology portfolios, technology maturity, decarbonization of power systems, and future steel production output. The results show that using currently available technology, China’s iron and steel industry can reduce CO₂ emissions by more than 50%. However, it cannot achieve the neutrality target without using innovative technologies. By combining conventional strategies with net-zero emission technologies such as CCS and hydrogen metallurgy, approximately 80–90% emission reduction can be achieved, thus leading to a carbon neutrality pathway, which can meet the 1.5°C targets of the carbon budget limit either. In the future, carbon emissions' reduction potential will be influenced by the decarbonization of power systems and the diffusion rate of innovative technologies. To achieve carbon neutrality, it is essential to act sooner and faster.     

An Efficient Accurate Direct Solution of Poisson’s Equation for Computation of Meteorological Parameters

Poisson's equation is solved numerically by two direct methods, viz. Block Cyclic Reduction (BCR) method and Fourier Method. Qualitative and quantitative comparison between the numerical solutions obtained by two methods indicates that BCR method is superior to Fourier method in terms of speed and accuracy. Therefore. BCR method is applied to solve (?)2(?)= ζ and (?)2X= D from observed vorticity and divergent values. Thereafter the rotational and divergent components of the horizontal monsoon wind in the lower troposphere are reconstructed and are com pared with the results obtained by Successive Over-Relaxation (SOR) method as this indirect method is generally in more use for obtaining the streamfunction ((?)) and velocity potential (X) fields in NWP models. It is found that the results of BCR method are more reliable than SOR method.     

Estimation of global temperature trends: what’s important and what isn’t

In this essay we discuss the development of and estimation of uncertainties in the global surface temperature record. We briefly discuss the similarities in and differences between the records from the institutions that produce such series. We then consider the numerous issues that must be addressed to enable accurate estimates to be derived. We consider these in their order of importance with respect to the record: biases in the sea surface temperature data, exposure of land-based thermometers before about 1900, urbanization effects in some series, and, finally, the homogeneity of individual land-based records.     

Some Aspects of the Diurnal and Semidiurnal Tidal Wind Field in Meteor Zone

The diurnal and semidiurnal tidal wind field variations in the altitudes between 80 and 100 km of the earth's atmosphere over a mid-latitude station are studied by means of the phases of the zonal and meridional wind measurements made at Atlanta (34 ° N, 84 ° W). The rotation of diurnal tidal wind vector is seen to be clockwise at lower heights (80-86 km), swinging between clockwise and anti-clockwise at intermediate heights (88-96 km) and anti-clockwise at higher heights (96-100 km). The senses of rotation of diurnal and semidiurnal tidal wind vectors are compared between the stations located in the same and opposite hemispheres. The results are consistent with the tidal theory in the case of Atlanta and Adelaide (35°S, 139 ° E) whereas in the case of other stations considered in the present study, they showed marked variations.     

Creating regional climate change scenarios over southern South America for the 2020’s and 2050’s using the pattern scaling technique: validity and limitations

Dynamical downscaling of global climate simulations is the most adequate tool to generate regional projections of climate change. This technique involves at least a present climate simulation and a simulation of a future scenario, usually at the end of the twenty first century. However, regional projections for a variety of scenarios and periods, the 2020s or the 2050s, are often required by the impact community. The pattern scaling technique is used to estimate information on climate change for periods and scenarios not simulated by the regional model. We based our study on regional simulations performed over southern South America for present climate conditions and two emission scenarios at the end of the twenty first century. We used the pattern scaling technique to estimate mean seasonal changes of temperature and precipitation for the 2020s and the 2050s. The validity of the scalability assumptions underlying the pattern scaling technique for estimating near future regional climate change scenarios over southern South America is assessed. The results show that the pattern scaling works well for estimating mean temperature changes for which the regional changes are linearly related to the global mean temperature changes. For precipitation changes, the validity of the scalability assumption is weaker. The errors of estimating precipitation changes are comparable to those inherent to the regional model and to the projected changes themselves.     

Potential for small scale added value of RCM’s downscaled climate change signal

In recent decades, the need of future climate information at local scales have pushed the climate modelling community to perform increasingly higher resolution simulations and to develop alternative approaches to obtain fine-scale climatic information. In this article, various nested regional climate model (RCM) simulations have been used to try to identify regions across North America where high-resolution downscaling generates fine-scale details in the climate projection derived using the “delta method”. Two necessary conditions were identified for an RCM to produce added value (AV) over lower resolution atmosphere-ocean general circulation models in the fine-scale component of the climate change (CC) signal. First, the RCM-derived CC signal must contain some non-negligible fine-scale information—independently of the RCM ability to produce AV in the present climate. Second, the uncertainty related with the estimation of this fine-scale information should be relatively small compared with the information itself in order to suggest that RCMs are able to simulate robust fine-scale features in the CC signal. Clearly, considering necessary (but not sufficient) conditions means that we are studying the “potential” of RCMs to add value instead of the AV, which preempts and avoids any discussion of the actual skill and hence the need for hindcast comparisons. The analysis concentrates on the CC signal obtained from the seasonal-averaged temperature and precipitation fields and shows that the fine-scale variability of the CC signal is generally small compared to its large-scale component, suggesting that little AV can be expected for the time-averaged fields. For the temperature variable, the largest potential for fine-scale added value appears in coastal regions mainly related with differential warming in land and oceanic surfaces. Fine-scale features can account for nearly 60 % of the total CC signal in some coastal regions although for most regions the fine scale contributions to the total CC signal are of around ～5 %. For the precipitation variable, fine scales contribute to a change of generally less than 15 % of the seasonal-averaged precipitation in present climate with a continental North American average of ～5 % in both summer and winter seasons. In the case of precipitation, uncertainty due to sampling issues may further dilute the information present in the downscaled fine scales. These results suggest that users of RCM simulations for climate change studies in a delta method framework have little high-resolution information to gain from RCMs at least if they limit themselves to the study of first-order statistical moments. Other possible benefits arising from the use of RCMs—such as in the large scale of the downscaled fields– were not explored in this research.     

Low-carbon transition risks for India’s financial system

As the low-carbon transition accelerates, loans to and investments in carbon-intensive assets, firms and sectors are at risk of not generating the anticipated returns, with implications for individual financial institutions as well as financial markets more broadly. However, research on this topic has largely been focused on high- and upper-middle income economies to date. In this paper, we explore the salience of this issue in India – one of the world’s largest emitters and economies – by asking: (1) how extensive is financial-sector exposure to transition risks? And: (2) are finance professionals and financial institutions taking sufficient action to manage those transition risks? Our findings reveal that India’s financial sector is much more heavily exposed to low-carbon transition risks than standard borrowing classifications might suggest. For example, our granular assessment of individual loans and bonds finds that three-fifths of lending to the ‘mining’ sector is for oil and gas extraction, while one-fifth of ‘manufacturing’ debt is for petroleum refining and related industries. We also find that electricity production – by far the largest source of emissions – accounts for 5.2% of outstanding credit, but that only 17.5% of this lending is to pureplay renewables. Yet our survey of India’s largest financial institutions suggests that there have been limited efforts to identify, measure or manage low-carbon transition risks. Fewer than half of the 154 finance professionals surveyed were familiar with environmental issues including climate change mitigation and adaption, greenhouse gas emissions or transition risks. Only four of the ten major financial institutions surveyed collect information on ESG risks, and these firms do not systematically incorporate that data into business continuity planning, internal capital adequacy assessment processes, credit risk assessments, enterprise risk management frameworks or loan product pricing. Given extensive financial-sector exposure to low-carbon transition risks coupled with the absence of bottom-up action to manage those risks, our findings suggest that financiers, regulators and policymakers in emerging and developing economies should be acting swiftly to ensure an orderly transition to net-zero.