A how-to guide for the Smith College Proxy Carbon Life Cycle Cost Calculator

Detailed written guide for using the LCC calculator for Smith College. A similar guide can be adapted for users of the calculator at your institution. The Smith College Proxy Carbon Life Cycle Cost Calculator is a tool designed to include climate impacts in the evaluation of present and future costs of projects on campus. At the request of the Study Group on Climate Change, this Excel tool was developed as part of the implementation of a proxy carbon price at Smith College

Student aspirations for higher education in Central Queensland : a survey of school students’ navigational capacities

In recent times, student aspiration for higher education has become the subject of Australian Government policy and school/university partnerships. A perceived shortfall in aspiration for higher education – particularly by under-represented groups – is seen to be frustrating the achievement of the Government’s targets for universities

Regional differences in the response of rainfall to convectively coupled Kelvin waves over tropical Africa

The representation of convection remains one of the most important sources of bias in global models and evaluation methods are needed that show that models provide the correct mean state and variability; both for the correct reasons. Here we develop a novel approach for evaluating rainfall variability due to CCKWs in this region. A phase cycle was defined for the CCKW cycle in OLR and used to composite rainfall anomalies. We characterize the observed (TRMM) rainfall response to CCKWs over tropical Africa in April and evaluate the performance of regional climate model (RCM) simulations: a parameterized convection simulation (P25) and the first pan-Africa convection permitting simulation (CP4). TRMM mean rainfall is enhanced and suppressed by CCKW activity and the occurrence of extreme rainfall and dry days is coupled with CCKW activity. Focusing on regional differences, we show for the first time that: there is a dipole between West Africa and the Gulf of Guinea involving onshore/offshore shifts in rainfall; and the transition to enhanced rainfall over west equatorial Africa occurs one phase before the transition over east equatorial Africa. The global model used to drive the RCMs simulated CCKWs with mean amplitudes of 75%-82% of observations. The RCMs simulated coherent responses to the CCKWs and captured the large-scale spatial patterns and phase relationships in rainfall although the simulated rainfall response is weaker than observations and there are regional biases which are bigger away from the equator. P25 produced a closer match to TRMM mean rainfall anomalies than CP4 although the response in dry days was more closely simulated by CP4

Modelling the diurnal cycle of tropical convection across the "Grey Zone"

We present the results of simulations carried out with the Met Office Unified Model at 12km, 4km and 1.5km resolution for a large region centred on West Africa using several different representations of the convection processes. These span the range of resolutions from much coarser than the size of the convection processes to the cloud-system resolving and thus encompass the intermediate "grey-zone". The diurnal cycle in the extent of convective regions in the models is tested against observations from the Geostationary Earth Radiation Budget instrument on Meteosat-8. By this measure, the two best-performing simulations are a 12km model without convective parametrization, using Smagorinsky style sub-grid scale mixing in all three dimensions and a 1.5km simulations with two-dimensional Smagorinsky mixing. Of these, the 12km model produces a better match to the magnitude of the total cloud fraction but the 1.5km results in better timing for its peak value. The results suggest that the previously-reported improvement in the representation of the diurnal cycle of convective organisation in the 4km model compared to the standard 12km configuration is principally a result of the convection scheme employed rather than the improved resolution per se. The details of and implications for high-resolution model simulations are discussed

Polyarticular Arthritis Due to Sporothrix schenckii /PolyartikulÄre Arthritis durch Sporothrix schenkii

Sporothrix schenckii infection usually presents as cutaneous or lymphocutaneous disease. Rarely, this dimorphic fungus causes isolated osteoarticular infection. The patient described herein had polyarticular sporotrichosis with contiguous osteomyelitis presenting as carpal tunnel syndrome 5 years previously. He relapsed after 2 g of amphotericin B but responded to itraconazole, a new oral antifungal agent. However, he was left with severe limitation of motion in the affected joints due to the long interval from onset of symptoms to diagnosis. Zusammenfassung :  Die Sporothrix schenckii -Infektion ist gewÖhnlich an der Haut oder im Bereich der Haut-Lymphknoten lokalisiert. Selten verursacht dieser dimorphe Pilz eine isolierte osteoartikulÄre Infektion. Der hier vorgestellte Patient hatte eine polyartikulÄre Sporotrichose mit benachbarter Osteomyelitis, was sich 5 Jahre zuvor als Karpaltunnel-Syndrom dargestellt hatte. Der Patient erlitt nach Verabreichung von insgesamt 2 g Amphotericin B einen RÜckfall, sprach jedoch auf Itraconazol an. Es verblieben aber schwere BewegungseinschrÄnkungen der befallenen Gelenke wegen des langen Zeitraums vom Einsetzen der Symptome bis zur Diagnose.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/71904/1/j.1439-0507.1988.tb04413.x.pd

What Drives the Intensification of Mesoscale Convective Systems over the West African Sahel under Climate Change?

Extreme rainfall is expected to increase under climate change, carrying potential socioeconomic risks. However, the magnitude of increase is uncertain. Over recent decades, extreme storms over the West African Sahel have increased in frequency, with increased vertical wind shear shown to be a cause. Drier midlevels, stronger cold pools, and increased storm organization have also been observed. Global models do not capture the potential effects of lower- to midtropospheric wind shear or cold pools on storm organization since they parameterize convection. Here we use the first convection-permitting simulations of African climate change to understand how changes in thermodynamics and storm dynamics affect future extreme Sahelian rainfall. The model, which simulates warming associated with representative concentration pathway 8.5 (RCP8.5) until the end of the twenty-first century, projects a 28% increase of the extreme rain rate of MCSs. The Sahel moisture change on average follows Clausius–Clapeyron scaling, but has regional heterogeneity. Rain rates scale with the product of time-of-storm total column water (TCW) and in-storm vertical velocity. Additionally, prestorm wind shear and convective available potential energy both modulate in-storm vertical velocity. Although wind shear affects cloud-top temperatures within our model, it has no direct correlation with precipitation rates. In our model, projected future increase in TCW is the primary explanation for increased rain rates. Finally, although colder cold pools are modeled in the future climate, we see no significant change in near-surface winds, highlighting avenues for future research on convection-permitting modeling of storm dynamics

A novel tool to predict food intake: The Visual Meal Creator

Subjective appetite is commonly measured using an abstract visual analogue scale (VAS) technique, that provides no direct information about desired portion size or food choice. The purpose of this investigation was to develop and validate a user-friendly tool – the Visual Meal Creator (VIMEC) – that would allow for independent, repeated measures of subjective appetite and provide a prediction of food intake. Twelve participants experienced dietary control over a 5-hour period to manipulate hunger state on three occasions (small breakfast (SB) vs. large breakfast (LB) vs. large breakfast + snacks (LB+S)). Appetite measures were obtained every 60 minutes using the VIMEC and VAS. At 4.5 hours, participants were presented with an ad libitum test meal, from which energy intake (EI) was measured. The efficacy of the VIMEC was assessed by its ability to detect expected patterns of appetite and its strength as a predictor of energy intake. Day-to-day reproducibility and test-retest repeatability were assessed. Between- and within-condition differences in VAS and VIMEC scores (represented as mm and kcal of the “created” meal, respectively) were significantly correlated with one another throughout. Between- and within-condition changes in appetite scores obtained with the VIMEC exhibited a stronger correlation with EI at the test meal than those obtained with VAS. Pearson correlation coefficients for within-condition comparisons were 0.951, 0.914 and 0.875 (all p < 0.001) for SB, LB and LB+S respectively. Correlation coefficients for between-condition differences in VIMEC and EI were 0.273, 0.940 (p < 0.001) and 0.525 (p < 0.05) for SB – LB+S, SB – LB and LB – LB+S respectively. The VIMEC exhibited a similar degree of reproducibility to VAS. These findings suggest that the VIMEC appears to be a stronger predictor of energy intake than VAS

Assessment of the representation of West African storm lifecycles in convection‐permitting simulations

Convection‐permitting models perform better at representing the diurnal cycle and the intermittency of convective rainfall over land than parameterized‐convection models. However, most of the previous model assessments have been from an Eulerian point of view, while key impacts of the rainfall depend on a storm‐relative perspective of the system lifecycle. Here a storm‐tracking algorithm is used to generate storm‐centered Lagrangian lifecycle statistics of precipitation over West Africa from regional climate model simulations and observations. Two versions of the Met Office Unified Model with and without convection parameterization at 4, 12, and 25 km resolution were analyzed. In both of the parameterized‐convection simulations, storm lifetimes are too short compared to observations, and storms have no preferred propagation direction; the diurnal cycle of initiations and dissipations and the spatial distribution of storms are also inaccurate. The storms in the convection‐permitting simulations have more realistic diurnal cycles and lifetimes, but are not as large as the largest observed storms. The convection‐permitting model storms propagate in the correct direction, although not as fast as observed storms, and they have a much improved spatial distribution. The rainfall rate of convection‐permitting storms is likely too intense compared to observations. The improved representation of the statistics of organized convective lifecycles shows that convection‐permitting models provide better simulation of a number of aspects of high‐impact weather which are critical to climate impacts in this important geographic region, providing the high rainfall rates can be taken into account