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"Hyder, Patrick"
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Bought and Sold
2011,2012
Yugoslavia was unique among the communist countries of the Cold War era in its openness to mixing cultural elements from both socialism and capitalism. Unlike their counterparts in the nations of the Soviet Bloc, ordinary Yugoslavs enjoyed access to a wide range of consumer goods and services, from clothes and appliances to travel agencies and discotheques. From the mid-1950s onward the political climate in Yugoslavia permitted, and later at times encouraged, a consumerist lifestyle of shopping, spending, acquiring, and enjoying that engaged the public on a day-to-day basis through modern advertising and sales techniques. InBought and Sold, Patrick Hyder Patterson reveals the extent to which socialist Yugoslavia embraced a consumer culture usually associated with capitalism and explores the role of consumerism in the federation's collapse into civil war in 1991.
Patterson argues, became a land where the symbolic, cultural value of consumer goods was a primary factor in individual and group identity. He shows how a new, aggressive business establishment promoted consumerist tendencies that ordinary citizens eagerly adopted, while the Communist leadership alternately encouraged and constrained the consumer orientation. Abundance translated into civic contentment and seemed to prove that the regime could provide goods and services equal to those of the capitalist West, but many Yugoslavs, both inside and outside the circles of official power, worried about the contradiction between the population's embrace of consumption and the dictates of Marxist ideology. The result was a heated public debate over creeping consumerist values, with the new way of life finding fierce critics and, surprisingly for a communist country, many passionate and vocal defenders.
Toward Consistent Diagnostics of the Coupled Atmosphere and Ocean Energy Budgets
2017
The widely used diagnostic vertically integrated total energy budget equations of atmosphere and ocean contain inconsistencies that should no longer be disregarded. The neglect of enthalpy fluxes associated with precipitation and evaporation leads to a spurious dependence on reference temperature. This seemingly small inconsistency is amplified because enthalpy of water vapor implicitly included in lateral atmospheric energy transports usually is computed on the Kelvin scale, leading to inconsistencies that, although zero when globally averaged, attain values on the order of 20 W m–2 in the tropics. A more consistent energy budget framework is presented, which is independent of reference temperature and which takes full account of enthalpy fluxes associated with mass transfer through the surface. The latter include effects of snowfall and additional nonlatent contributions, which have a net cooling effect on the earth’s surface (−1.3 W m−2). In addition to these diagnostic issues, comparatively small inconsistencies in the energetic formulations of current weather and climate models are highlighted. Using the energy budget formulation presented here, instead of that commonly used, yields enhanced self-consistency of diagnosed atmospheric energy budgets and substantially improved spatial agreement between fields of net surface energy flux inferred from the divergence of lateral atmospheric energy transports in conjunction with satellite-based radiative fluxes and independent surface flux products. Results imply that previous estimates of radiative plus turbulent surface fluxes over the ocean, balancing the observed ocean warming, are biased low by ∼1.3 W m−2. Moreover, previous studies seriously underestimated cross-equatorial atmospheric and oceanic energy transports. Overall, the presented framework allows for unambiguous coupled energy budget diagnostics and yields more reliable benchmark values for validation purposes.
Journal Article
CMIP5 Diversity in Southern Westerly Jet Projections Related to Historical Sea Ice Area
by
Bracegirdle, Thomas J.
,
Holmes, Caroline R.
,
Hyder, Patrick
in
21st century
,
Atmosphere
,
Atmospheric models
2018
A major feature of projected changes in Southern Hemisphere climate under future scenarios of increased greenhouse gas concentrations is the poleward shift and strengthening of the main eddy-driven belt of midlatitude, near-surface westerly winds (the westerly jet). However, there is large uncertainty in projected twenty-first-century westerly jet changes across different climate models. Here models from the World Climate Research Programme’s phase 5 of the Coupled Model Intercomparison Project (CMIP5) were evaluated to assess linkages between diversity in simulated sea ice area (SIA), Antarctic amplification, and diversity in projected twenty-first-century changes in the westerly jet following the representative concentration pathway 8.5 (RCP8.5) scenario. To help disentangle cause and effect in the coupled model analysis, uncoupled atmosphere-only fixed sea surface experiments from CMIP5 were also evaluated. It is shown that across all seasons, approximately half of the variance in projected RCP8.5 jet strengthening is explained statistically by intermodel differences in simulated historical SIA, whereby CMIP5 models with larger baseline SIA exhibit more ice retreat and less jet strengthening in the future. However, links to jet shift are much weaker and are only statistically significant in austral autumn and winter. It is suggested that a significant cross-model correlation between historical jet strength and projected strength change (r = −0.58) is, at least in part, a result of atmospherically driven historical SIA biases, which then feed back into the atmosphere in future projections. The results emphasize that SIA appears to act in concert with proximal changes in sea surface temperature gradients in relation to model diversity in westerly jet projections.
Journal Article
The Low‐Resolution Version of HadGEM3 GC3.1: Development and Evaluation for Global Climate
by
Ineson, Sarah
,
Siahaan, Antony
,
Walton, Jeremy
in
Atlantic Meridional Overturning Circulation (AMOC)
,
Atmosphere
,
Atmospheric Processes
2018
A new climate model, HadGEM3 N96ORCA1, is presented that is part of the GC3.1 configuration of HadGEM3. N96ORCA1 has a horizontal resolution of ~135 km in the atmosphere and 1° in the ocean and requires an order of magnitude less computing power than its medium‐resolution counterpart, N216ORCA025, while retaining a high degree of performance traceability. Scientific performance is compared to both observations and the N216ORCA025 model. N96ORCA1 reproduces observed climate mean and variability almost as well as N216ORCA025. Patterns of biases are similar across the two models. In the northwest Atlantic, N96ORCA1 shows a cold surface bias of up to 6 K, typical of ocean models of this resolution. The strength of the Atlantic meridional overturning circulation (16 to 17 Sv) matches observations. In the Southern Ocean, a warm surface bias (up to 2 K) is smaller than in N216ORCA025 and linked to improved ocean circulation. Model El Niño/Southern Oscillation and Atlantic Multidecadal Variability are close to observations. Both the cold bias in the Northern Hemisphere (N96ORCA1) and the warm bias in the Southern Hemisphere (N216ORCA025) develop in the first few decades of the simulations. As in many comparable climate models, simulated interhemispheric gradients of top‐of‐atmosphere radiation are larger than observations suggest, with contributions from both hemispheres. HadGEM3 GC3.1 N96ORCA1 constitutes the physical core of the UK Earth System Model (UKESM1) and will be used extensively in the Coupled Model Intercomparison Project 6 (CMIP6), both as part of the UK Earth System Model and as a stand‐alone coupled climate model. Plain Language Summary In this article, a new version of the climate model currently used in the United Kingdom (HadGEM3) is presented and analyzed. The circulation of the atmosphere and the oceans is simulated on a relatively coarse spatial grid with a grid cell size of about 120 km. The advantage of using a coarse spatial grid is that less computing power (on a supercomputer) is needed compared to using a finer grid. This gives an opportunity to do many more simulations of the ways in which Earth's climate may evolve in the decades and centuries ahead. We have carefully compared a simulation of the climate around the year 2000 with climate observations from that time and with a simulation from the same model with a finer spatial grid. Our results show that our new, coarse‐grid version is representing the current climate reasonably well, for instance, with regards to climate variability in the tropics and major ocean currents. However, there are clear differences between the two models. In the coarse‐grid model, the ocean surface is too cold in the northwest Atlantic, while in the fine‐grid version it is too warm in the Southern Ocean around Antarctica. We look into explanations for these inaccuracies. Key Points A low‐resolution, traceable version of the current Met Office Hadley Centre climate model HadGEM3 GC3.1 is presented The scientific performance is comparable to the medium‐resolution version, while requiring much less computational resources In the low‐resolution version the Southern Ocean warm bias is reduced, linked with a more realistic ocean circulation
Journal Article
Critical Southern Ocean climate model biases traced to atmospheric model cloud errors
by
Josey, Simon A.
,
Hardiman, Steven C.
,
Field, Paul
in
704/106/35/823
,
704/106/694/2786
,
704/106/829/2737
2018
The Southern Ocean is a pivotal component of the global climate system yet it is poorly represented in climate models, with significant biases in upper-ocean temperatures, clouds and winds. Combining Atmospheric and Coupled Model Inter-comparison Project (AMIP5/CMIP5) simulations, with observations and equilibrium heat budget theory, we show that across the CMIP5 ensemble variations in sea surface temperature biases in the 40–60°S Southern Ocean are primarily caused by AMIP5 atmospheric model net surface flux bias variations, linked to cloud-related short-wave errors. Equilibration of the biases involves local coupled sea surface temperature bias feedbacks onto the surface heat flux components. In combination with wind feedbacks, these biases adversely modify upper-ocean thermal structure. Most AMIP5 atmospheric models that exhibit small net heat flux biases appear to achieve this through compensating errors. We demonstrate that targeted developments to cloud-related parameterisations provide a route to better represent the Southern Ocean in climate models and projections.
The Southern Ocean is critically important for global climate yet poorly represented by climate models. Here the authors trace sea surface temperature biases in this region to cloud-related errors in atmospheric-model simulated surface heat fluxes and provide a pathway to improve the models.
Journal Article
Improving the Southern Ocean cloud albedo biases in a general circulation model
2020
The present generation of global climate models is characterised by insufficient reflection of short-wave radiation over the Southern Ocean due to a misrepresentation of clouds. This is a significant concern as it leads to excessive heating of the ocean surface, sea surface temperature biases and subsequent problems with atmospheric dynamics. In this study, we modify cloud microphysics in a recent version of the Met Office's Unified Model and show that choosing a more realistic value for the shape parameter of atmospheric ice crystals, in better agreement with theory and observations, benefits the simulation of short-wave radiation. In the model, for calculating the growth rate of ice crystals through deposition, the default assumption is that all ice particles are spherical in shape. We modify this assumption to effectively allow for oblique shapes or aggregates of ice crystals. Along with modified ice nucleation temperatures, we achieve a reduction in the annual-mean short-wave cloud radiative effect over the Southern Ocean by up to ∼4 W m−2 and seasonally much larger reductions compared to the control model. By slowing the growth of the ice phase, the model simulates substantially more supercooled liquid cloud.
Journal Article
Prospects for improving the representation of coastal and shelf seas in global ocean models
by
Holt, Jason
,
Ashworth, Mike
,
Popova, Ekaterina
in
Barotropic mode
,
Biogeochemistry
,
Carbon cycle
2017
Accurately representing coastal and shelf seas in global ocean models represents one of the grand challenges of Earth system science. They are regions of immense societal importance through the goods and services they provide, hazards they pose and their role in global-scale processes and cycles, e.g. carbon fluxes and dense water formation. However, they are poorly represented in the current generation of global ocean models. In this contribution, we aim to briefly characterise the problem, and then to identify the important physical processes, and their scales, needed to address this issue in the context of the options available to resolve these scales globally and the evolving computational landscape.We find barotropic and topographic scales are well resolved by the current state-of-the-art model resolutions, e.g. nominal 1/12[deg], and still reasonably well resolved at 1/4[deg]; here, the focus is on process representation. We identify tides, vertical coordinates, river inflows and mixing schemes as four areas where modelling approaches can readily be transferred from regional to global modelling with substantial benefit. In terms of finer-scale processes, we find that a 1/12[deg] global model resolves the first baroclinic Rossby radius for only ∼ 8% of regions < 500m deep, but this increases to ∼ 70% for a 1/72[deg] model, so resolving scales globally requires substantially finer resolution than the current state of the art.We quantify the benefit of improved resolution and process representation using 1/12[deg] global- and basin-scale northern North Atlantic nucleus for a European model of the ocean (NEMO) simulations; the latter includes tides and a k-[straight epsilon] vertical mixing scheme. These are compared with global stratification observations and 19 models from CMIP5. In terms of correlation and basin-wide rms error, the high-resolution models outperform all these CMIP5 models. The model with tides shows improved seasonal cycles compared to the high-resolution model without tides. The benefits of resolution are particularly apparent in eastern boundary upwelling zones.To explore the balance between the size of a globally refined model and that of multiscale modelling options (e.g. finite element, finite volume or a two-way nesting approach), we consider a simple scale analysis and a conceptual grid refining approach. We put this analysis in the context of evolving computer systems, discussing model turnaround time, scalability and resource costs. Using a simple cost model compared to a reference configuration (taken to be a 1/4[deg] global model in 2011) and the increasing performance of the UK Research Councils' computer facility, we estimate an unstructured mesh multiscale approach, resolving process scales down to 1.5km, would use a comparable share of the computer resource by 2021, the two-way nested multiscale approach by 2022, and a 1/72[deg] global model by 2026. However, we also note that a 1/12[deg] global model would not have a comparable computational cost to a 1[deg] global model in 2017 until 2027. Hence, we conclude that for computationally expensive models (e.g. for oceanographic research or operational oceanography), resolving scales to ∼ 1.5km would be routinely practical in about a decade given substantial effort on numerical and computational development. For complex Earth system models, this extends to about 2 decades, suggesting the focus here needs to be on improved process parameterisation to meet these challenges.
Journal Article
Polar Ocean Observations: A Critical Gap in the Observing System and Its Effect on Environmental Predictions From Hours to a Season
2019
There is a growing need for operational oceanographic predictions in both the Arctic and Antarctic polar regions. In the former, this is driven by a declining ice cover accompanied by an increase in maritime traffic and exploitation of marine resources. Oceanographic predictions in the Antarctic are also important, both to support Antarctic operations and also to help elucidate processes governing sea ice and ice shelf stability. However, a significant gap exists in the ocean observing system in polar regions, compared to most areas of the global ocean, hindering the reliability of ocean and sea ice forecasts. This gap can also be seen from the spread in ocean and sea ice reanalyses for polar regions which provide an estimate of their uncertainty. The reduced reliability of polar predictions may affect the quality of various applications including search and rescue, coupling with numerical weather and seasonal predictions, historical reconstructions (reanalysis), aquaculture and environmental management including environmental emergency response. Here, we outline the status of existing near-real time ocean observational efforts in polar regions, discuss gaps, and explore perspectives for the future. Specific recommendations include a renewed call for open access to data, especially real-time data, as a critical capability for improved sea ice and weather forecasting and other environmental prediction needs. Dedicated efforts are also needed to make use of additional observations made as part of the Year of Polar Prediction (YOPP; 2017-2019) to inform optimal observing system design. To provide a polar extension to the Argo network, it is recommended that a network of ice-borne sea ice and upper-ocean observing buoys be deployed and supported operationally in ice-covered areas together with autonomous profiling floats and gliders (potentially with ice detection capability) in seasonally ice covered seas. Finally, additional efforts to better measure and parameterize surface exchanges in polar regions are much needed to improve coupled environmental prediction.
Journal Article
The Prague Spring and the Big Chill: the marketing moment in communist Czechoslovakia
2016
Purpose
– This paper aims to analyze an important series of events in the history of marketing in socialist Europe and the internationalization of marketing thought and practice. Examining the reception of the marketing concept in communist Czechoslovakia, the study shows the effective blockage of the implementation of marketing approaches by orthodox communist authorities. The paper demonstrates the distinctiveness and importance of the Czechoslovak case and provides a basis for integrating that experience into the larger history of marketing under socialism.
Design/methodology/approach
– The paper is based on an extensive review of the most relevant Czech and Slovak primary sources including trade journals, manuals and textbooks in marketing and related fields, party and government documents and statements on commercial issues, and other important professional literature on domestic commerce.
Findings
– The paper provides insights into the use of communist political power to suppress the use of marketing as contrary to the social and ideological goals of socialism. It identifies the rise of marketing approaches during a brief “marketing moment” following market-oriented economic reforms in 1965 and lasting through the “Prague Spring” of 1968. Following the restoration of orthodox communist control, new policies of “normalization” dictated the decline of marketing, which returned to its earlier status of near-invisibility. The suppression of marketing thought and practice lasted until the end of communist rule in 1989.
Originality/value
– This paper analyzes an unexamined case of marketing in a socialist society and places the case in broader comparative context.
Journal Article