978 resultados para Great Britain. Army. Brigade of Guards
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Bound with: The manual and platoon exercises, &c., &c. (51 p.) and: General orders and observations on the movement and field exercise of infantry (16 p.) Inscribed on front paste-down: L. Colonel Brock. Also inscribed: Maj. Genl T.A. Smith late of the 1st. Rifle Regt. Bookplate of Robert B. Taylor, Norfolk. On front flyleaf: lengthy, two-page transcription in ink, headed /Copy/Circular/ dated "Horse Guards, 25th May '07" and signed: "Harry Calvert Adjt. General.
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Bound with: The manual and platoon exercises, &c., &c. (51 p.) and: General orders and observations on the movement and field exercise of infantry (16 p.) Inscribed on front paste-down: L. Colonel Brock. Also inscribed: Maj. Genl T.A. Smith late of the 1st. Rifle Regt. Bookplate of Robert B. Taylor, Norfolk. On front flyleaf: lengthy, two-page transcription in ink, headed /Copy/Circular/ dated "Horse Guards, 25th May '07" and signed: "Harry Calvert Adjt. General.
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The King’s Royal Regiment of New York was a Loyalist regiment that served on the Canadian frontier during the American Revolutionary War. The regiment was commanded by Sir John Johnson, who recruited members from the settlers on his estates in the Mohawk Valley. After the War, the two battalions of the regiment were disbanded. The First Battalion settled on the north shore of the St. Lawrence, while the Second Battalion settled by the Bay of Quinte.
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Insects migrating over two sites in southern UK (Malvern in Worcestershire, and Harpenden in Hertfordshire) have been monitored continuously with nutating vertical-looking radars (VLRs) equipped with powerful control and analysis software. These observations make possible, for the first time, a systematic investigation of the vertical distribution of insect aerial density in the atmosphere, over temporal scales ranging from the short (instantaneous vertical profiles updated every 15 min) to the very long (profiles aggregated over whole seasons or even years). In the present paper, an outline is given of some general features of insect stratification as revealed by the radars, followed by a description of occasions during warm nights in the summer months when intense insect layers developed. Some of these nocturnal layers were due to the insects flying preferentially at the top of strong surface temperature inversions, and in other cases, layering was associated with higher-altitude temperature maxima, such as those due to subsidence inversions. The layers were formed from insects of a great variety of sizes, but peaks in the mass distributions pointed to a preponderance of medium-sized noctuid moths on certain occasions.
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Insect pollination benefits over three quarters of the world's major crops. There is growing concern that observed declines in pollinators may impact on production and revenues from animal pollinated crops. Knowing the distribution of pollinators is therefore crucial for estimating their availability to pollinate crops; however, in general, we have an incomplete knowledge of where these pollinators occur. We propose a method to predict geographical patterns of pollination service to crops, novel in two elements: the use of pollinator records rather than expert knowledge to predict pollinator occurrence, and the inclusion of the managed pollinator supply. We integrated a maximum entropy species distribution model (SDM) with an existing pollination service model (PSM) to derive the availability of pollinators for crop pollination. We used nation-wide records of wild and managed pollinators (honey bees) as well as agricultural data from Great Britain. We first calibrated the SDM on a representative sample of bee and hoverfly crop pollinator species, evaluating the effects of different settings on model performance and on its capacity to identify the most important predictors. The importance of the different predictors was better resolved by SDM derived from simpler functions, with consistent results for bees and hoverflies. We then used the species distributions from the calibrated model to predict pollination service of wild and managed pollinators, using field beans as a test case. The PSM allowed us to spatially characterize the contribution of wild and managed pollinators and also identify areas potentially vulnerable to low pollination service provision, which can help direct local scale interventions. This approach can be extended to investigate geographical mismatches between crop pollination demand and the availability of pollinators, resulting from environmental change or policy scenarios.
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With a rapidly increasing fraction of electricity generation being sourced from wind, extreme wind power generation events such as prolonged periods of low (or high) generation and ramps in generation, are a growing concern for the efficient and secure operation of national power systems. As extreme events occur infrequently, long and reliable meteorological records are required to accurately estimate their characteristics. Recent publications have begun to investigate the use of global meteorological “reanalysis” data sets for power system applications, many of which focus on long-term average statistics such as monthly-mean generation. Here we demonstrate that reanalysis data can also be used to estimate the frequency of relatively short-lived extreme events (including ramping on sub-daily time scales). Verification against 328 surface observation stations across the United Kingdom suggests that near-surface wind variability over spatiotemporal scales greater than around 300 km and 6 h can be faithfully reproduced using reanalysis, with no need for costly dynamical downscaling. A case study is presented in which a state-of-the-art, 33 year reanalysis data set (MERRA, from NASA-GMAO), is used to construct an hourly time series of nationally-aggregated wind power generation in Great Britain (GB), assuming a fixed, modern distribution of wind farms. The resultant generation estimates are highly correlated with recorded data from National Grid in the recent period, both for instantaneous hourly values and for variability over time intervals greater than around 6 h. This 33 year time series is then used to quantify the frequency with which different extreme GB-wide wind power generation events occur, as well as their seasonal and inter-annual variability. Several novel insights into the nature of extreme wind power generation events are described, including (i) that the number of prolonged low or high generation events is well approximated by a Poission-like random process, and (ii) whilst in general there is large seasonal variability, the magnitude of the most extreme ramps is similar in both summer and winter. An up-to-date version of the GB case study data as well as the underlying model are freely available for download from our website: http://www.met.reading.ac.uk/~energymet/data/Cannon2014/.
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This article examines changes that occurred in English contract law as a result of the demands made upon Great Britain by the Great War. The focus is on the development of the doctrine of frustration in English law. In particular, it is argued that the development of the doctrine of frustration was fashioned from internal legal forces in the form of both existing case law and emergency legislation in response to the demands placed upon the nation by a global war. The way in which the doctrine of frustration developed during the Great War arose as a direct result of the way in which Britain chose to meet the logistical demands created by the way it fought the Great War.
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Probabilistic climate data have become available for the first time through the UK Climate Projections 2009, so that the risk of tree growth change can be quantified. We assess the drought risk spatially and temporally using drought probabilities and tree species vulnerabilities across Britain. We assessed the drought impact on the potential yield class of three major tree species (Picea sitchensis, Pinus sylvestris, and Quercus robur) which presently cover around 59% (400,700 ha) of state-managed forests, across lowland and upland sites. Here we show that drought impacts result mostly in reduced tree growth over the next 80 years when using b1, a1b and a1fi IPCC emissions scenarios. We found a maximum reduction of 94% but also a maximum increase of 56% in potential stand yield class in the 2080s from the baseline climate (1961-1990). Furthermore, potential production over the national forest estate for all three species in the 2080s may decrease due to drought by 42% in the lowlands and 32% in the uplands in comparison to the baseline climate. Our results reveal that potential tree growth and forest production on the national forest estate in Britain is likely to reduce, and indicate where and when adaptation measures are required. Moreover, this paper demonstrates the value of probabilistic climate projections for an important economic and environmental sector.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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This Memoir ... was originally arranged and prepared for publication from September, 1793 ... to September, 1863, by Brevet Major Edward William Bray ... The later history ... has been collected from the Authentic Records preserved in the Regimental Orderly Room.
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Description based on: 1911.
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Mode of access: Internet.