Transient climate simulations with the HadGEM1 climate model: Causes of past warming and future climate change

The ability of climate models to simulate large-scale temperature changes during the twentieth century when they include both anthropogenic and natural forcings and their inability to account for warming over the last 50 yr when they exclude increasing greenhouse gas concentrations has been used as evidence for an anthropogenic influence on global warming. One criticism of the models used in many of these studies is that they exclude some forcings of potential importance, notably from fossil fuel black carbon, biomass smoke, and land use changes. Herein transient simulations with a new model, the Hadley Centre Global Environmental Model version 1 (HadGEM1), are described, which include these forcings in addition to other anthropogenic and natural forcings, and a fully interactive treatment of atmospheric sulfur and its effects on clouds. These new simulations support previous work by showing that there was a significant anthropogenic influence on near-surface temperature change over the last century. They demonstrate that black carbon and land use changes are relatively unimportant for explaining global mean near-surface temperature changes. The pattern of warming in the troposphere and cooling in the stratosphere that has been observed in radiosonde data since 1958 can only be reproduced when the model includes anthropogenic forcings

Shortwave spectral radiative signatures and their physical controls

The spectrum of reflected solar radiation emerging at the top of the atmosphere is rich with Earth system information. To identify spectral signatures in the reflected solar radiation and directly relate them to the underlying physical properties controlling their structure, over 90,000 solar reflectance spectra are computed over West Africa in 2010 using a fast radiation code employing the spectral characteristics of the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY). Cluster analysis applied to the computed spectra reveals spectral signatures related to distinct surface properties, and cloud regimes distinguished by their spectral short-wave cloud radiative effect (SWCRE). The cloud regimes exhibit a diverse variety of mean broadband SWCREs, and offer an alternative approach to define cloud type for SWCRE applications that does not require any prior assumptions. The direct link between spectral signatures and distinct physical properties extracted from clustering remains robust between spatial scales of 1, 20 and 240 km, and presents an excellent opportunity to understand the underlying properties controlling real spectral reflectance observations. Observed SCIAMACHY spectra are assigned to the calculated spectral clusters, showing that cloud regimes are most frequent during the active West African monsoon season of June–October in 2010, and all cloud regimes have a higher frequency of occurrence during the active monsoon season of 2003 compared with the inactive monsoon season of 2004. Overall, the distinct underlying physical properties controlling spectral signatures show great promise for monitoring evolution of the Earth system directly from solar spectral reflectance observations

A New Outlook on Ice Cloud through Sub-Millimetre-Wave Scattering

Scattering by atmospheric ice at sub-mm-wave frequencies is a challenge to both the cloud physics and light scattering communities owing to scattering at these frequencies being dependent on assumptions about the particle size distribution, ice crystal shape, orientation and size. Moreover, the scattering also depends on how the particle density is assumed to evolve with size. As there is as yet no prediction of a universal PSD or mass–dimension or density–dimension relationship, the modelling of ice crystals, so as to conserve the observed scattering and ice mass, is potentially problematic. In this presentation, the challenge presented by sub-mm-wave scattering is explored through the study of an ice cloud case using a new sub-mm spectral-like radiometer that was deployed on board an aircraft. Here, we evaluate the predictive quality of applying members from an ensemble model of cirrus ice crystals to modelling observed sub-millimetre brightness temperatures. The airborne straight and level near-nadir observations used here were from a case of ice cloud, which occurred during a winter period. The airborne microwave observations were obtained using the International Submillimetre Airborne Radiometer (ISMAR) [1], as the observations collected were at near-nadir we do not as yet consider polarisation. The ISMAR instrument has five central frequencies located between 118 and 664 GHz, with a number of sub-channels situated around some of the central frequencies to obtain spectral-like observations. The frequency selected for presentation is the 664 GHz “window” channel. This channel selection reduces uncertainties in modelling the gaseous spectroscopy, thereby enabling the scattering properties of members of the ensemble model to be more directly evaluated at this frequency. This is also the frequency that is most sensitive to assumptions about the ice crystal models and microphysics. The methodologies adopted for the calculation of the single-scattering properties of the ensemble model members at this frequency have been previously peer-reviewed and published [2, 3]. As such, this presentation concentrates on the application of these methodologies to the interpretation of the airborne ISMAR observations using a fast, state-of-the-art line-by-line radiative transfer model [4]. Moreover, state-of-the-art airborne observations of particle size distributions (PSDs) were also collected from the ice cloud case. These in-situ PSDs, as well as an often used database of in-situ PSDs collected during the SPARTICUS campaign in 2010, are applied to the two most compact and spatial hexagonal ice aggregate members of the ensemble model. A further ice aggregate model, called the Voronoi model, forming a chain of polyhedral particles, constructed to follow an observed density–dimension relationship, was also applied so as to simulate the observations. From the in-situ PSDs, geometric optics-based power law relationships have been previously obtained between the ice water content and the bulk extinction coefficient [5]. These same geometric optics-based relationships were estimated using the area–dimension power laws predicted by the ensemble model members and the Voronoi model. The best-fit ensemble model members to the observed power laws, and the Voronoi model, were applied in order to simulate the sub-mm-wave observations. Thus, we demonstrate consistency of model application from the limit of geometric optics (i.e. typically at visible wavelengths) to the sub-mm. In this presentation, we demonstrate a general overlap between the uncertainty in the radiative transfer simulations assuming the ensemble model members and the uncertainty in ISMAR brightness temperature observations at 664 GHz. However, portions of the straight and level runs were either simulated well with the compact aggregate model member or a three-component model, consisting of the two members of the ensemble model and the Voronoi particle, but never with one and the same model. Owing to the Voronoi model being the most spatial of all the models, this model simulated, to within the upper end of the experimental uncertainty, the ISMAR observations, but never the coldest observations at the highest sub-mm-wave frequency. However, if a different density–dimension relationship were to be adopted in the modelling of the Voronoi model that predicted higher mass values, then this should result in an improved agreement with the observations. It is as yet unclear as to which density–dimension relation is best to apply in general. These observations indicate changes in microphysics in terms of the mass–dimension profile and/or the size of the ice crystals and, therefore, represent a challenge to the global retrieval of ice cloud properties using the Ice Cloud Imager (ICI), which is due for launch around 2022. A further uncertainty is the assumed parametrised shape of the PSD. We also show in this presentation that the choice of PSD and ice crystal models are of equal importance in interpreting sub-mm-wave observations. [1] Fox, S et al., 2017: ISMAR: an airborne submillimetre radiometer. Atmos. Meas. Tech., doi:10.5194/ amt-10-477-2017. [2] Baran, A. J., et al., 2018: The applicability of physical optics in the millimetre and sub-millimetre spectral region. Part II: Application to a three-component model of ice cloud and its evaluation against the bulk single-scattering properties of various other aggregate models. JQSRT. 206, 68-80. [3] Baran, A. J., Hesse E., and Sourdeval O., 2017: The applicability of physical optics in the millimetre and sub-millimetre spectral region. Part I: The ray tracing with diffraction on facets method. JQSRT. 190, 83-100. [4] Havemann, S et al., The Havemann-Taylor Fast Radiative Transfer Code (HT-FRTC): a multipurpose code based on Principal Components, submitted to JQSRT (February 2018). [5] Fox, S et al., 2017: ISMAR: an airborne submillimetre radiometer. Atmos. Meas. Tech., doi:10.5194/ amt-10-477-2017.Peer reviewe

Varicella Zoster Virus ORF9p binding to cellular adaptor protein complex-1 is important for viral infectivity.

ORF9p (homologous to HSV-1 VP22) is a varicella-zoster virus (VZV) tegument protein essential for viral replication. Even though its precise functions are far from being fully described, a role in the secondary envelopment of the virus has long been suggested. We performed a yeast two-hybrid screen to identify cellular proteins interacting with ORF9p that might be important for this function. We found thirty-one ORF9p interaction partners, among which AP1M1, the mu subunit of the adaptor protein complex-1 (AP-1). AP-1 is a heterotetramer involved in intracellular vesicle-mediated transport and regulates the shuttling of cargo proteins between endosomes and the TGN via clathrin-coated vesicles. We confirmed that AP-1 interacts with ORF9p in infected cells and mapped potential interaction motifs within ORF9p. We generated VZV mutants in which each of these motifs is individually impaired and identified leucine 231 in ORF9p as critical to interact with AP-1. Disrupting ORF9p binding to AP-1 by mutating leucine 231 to alanine in ORF9p strongly impaired viral growth, most likely by preventing efficient secondary envelopment of the virus. Leucine 231 is part of a di-leucine motif conserved among alphaherpesviruses and we showed that VP22 of MDV and HSV-2 also interact with AP-1. This indicates that the function of this interaction in the secondary envelopment might be conserved as well.IMPORTANCE Herpesviruses are responsible for infections that, especially in immunocompromised patients, can lead to severe complications, including neurological symptoms and strokes. The constant emergence of viral strains resistant to classical antivirals (mainly acyclovir and its derivatives) pleads for the identification of new targets for future antiviral treatments. Cellular adaptor protein complexes (AP) have been implicated in the correct addressing of herpesvirus glycoproteins in infected cells and the discovery that a major constituent of varicella-zoster virus tegument is interacting with AP-1 reveals a previously unsuspected role of this tegument protein. Unraveling the complex mechanisms leading to virion production will certainly be an important step in the discovery of future therapeutic targets

Varicella-Zoster Virus ORF9p Binding to Cellular Adaptor Protein Complex 1 Is Important for Viral Infectivity

ORF9p (homologous to herpes simplex virus 1 [HSV-1] VP22) is a varicella-zoster virus (VZV) tegument protein essential for viral replication. Even though its precise functions are far from being fully described, a role in the secondary envelopment of the virus has long been suggested. We performed a yeast two-hybrid screen to identify cellular proteins interacting with ORF9p that might be important for this function. We found 31 ORF9p interaction partners, among which was AP1M1, the μ subunit of the adaptor protein complex 1 (AP-1). AP-1 is a heterotetramer involved in intracellular vesicle-mediated transport and regulates the shuttling of cargo proteins between endosomes and the trans-Golgi network via clathrin-coated vesicles. We confirmed that AP-1 interacts with ORF9p in infected cells and mapped potential interaction motifs within ORF9p. We generated VZV mutants in which each of these motifs was individually impaired and identified leucine 231 in ORF9p to be critical for the interaction with AP-1. Disrupting ORF9p binding to AP-1 by mutating leucine 231 to alanine in ORF9p strongly impaired viral growth, most likely by preventing efficient secondary envelopment of the virus. Leucine 231 is part of a dileucine motif conserved among alphaherpesviruses, and we showed that VP22 of Marek's disease virus and HSV-2 also interacts with AP-1. This indicates that the function of this interaction in secondary envelopment might be conserved as well.IMPORTANCE Herpesviruses are responsible for infections that, especially in immunocompromised patients, can lead to severe complications, including neurological symptoms and strokes. The constant emergence of viral strains resistant to classical antivirals (mainly acyclovir and its derivatives) pleads for the identification of new targets for future antiviral treatments. Cellular adaptor protein (AP) complexes have been implicated in the correct addressing of herpesvirus glycoproteins in infected cells, and the discovery that a major constituent of the varicella-zoster virus tegument interacts with AP-1 reveals a previously unsuspected role of this tegument protein. Unraveling the complex mechanisms leading to virion production will certainly be an important step in the discovery of future therapeutic targets.status: publishe

Organizational versus Market Knowledge: From Concrete Embodiment to Abstract Representation

knowledge management, transaction cost economics, codification, abstraction, B52, D01, D82, D83, L25,