Receipt from H. Carlisle and Co., Importers of House Furnishings and Trimmings

Receipt from H. Carlisle and Co., Importers of House Furnishings and Trimmings, St. Catharines, for a ring [?], Sept 20, 1886.

Receipt from Henry Carlisle, Importer of Dry Goods and Millinery, St. Catharines for hats

Receipt from Henry Carlisle, Importer of Dry Goods and Millinery, St. Catharines for hats, Dec. 31, 1886.

Receipt from Henry Carlisle, St. Catharines for clothing

Receipt from Henry Carlisle, St. Catharines for clothing, April 1, 1887.

Receipt from Henry Carlisle, St. Catharines for a hat

Receipt from Henry Carlisle, St. Catharines for a hat, July 1, 1887.

Receipt from the Estate of Henry Carlisle, St. Catharines for payment on account

Receipt from the Estate of Henry Carlisle, St. Catharines for payment on account, Dec. 31, 1887.

Receipt from H. Carlisle and Co., St. Catharines for fabric

Receipt from H. Carlisle and Co., St. Catharines for fabric, Jan. 3, 1888.

Modelling the hydraulics of the Carlisle 2005 flood event

The performance of a 2D numerical model of flood hydraulics is tested for a major event in Carlisle, UK, in 2005. This event is associated with a unique data set, with GPS surveyed wrack lines and flood extent surveyed 3 weeks after the flood. The Simple Finite Volume (SFV) model is used to solve the 2D Saint-Venant equations over an unstructured mesh of 30000 elements representing channel and floodplain, and allowing detailed hydraulics of flow around bridge piers and other influential features to be represented. The SFV model is also used to corroborate flows recorded for the event at two gauging stations. Calibration of Manning's n is performed with a two stage strategy, with channel values determined by calibration of the gauging station models, and floodplain values determined by optimising the fit between model results and observed water levels and flood extent for the 2005 event. RMS error for the calibrated model compared with surveyed water levels is ~±0.4m, the same order of magnitude as the estimated error in the survey data. The study demonstrates the ability of unstructured mesh hydraulic models to represent important hydraulic processes across a range of scales, with potential applications to flood risk management.

Use of high-resolution NWP rainfall and river flow forecasts for advance warning of the Carlisle flood, north-west England

On the 8 January 2005 the city of Carlisle in north-west England was severely flooded following 2 days of almost continuous rain over the nearby hills. Orographic enhancement of the rain through the seeder–feeder mechanism led to the very high rainfall totals. This paper shows the impact of running the Met Office Unified Model (UM) with a grid spacing of 4 and 1 km compared to the 12 km available at the time of the event. These forecasts, and forecasts from the Nimrod nowcasting system, were fed into the Probability Distributed Model (PDM) to predict river flow at the outlets of two catchments important for flood warning. The results show the benefit of increased resolution in the UM, the benefit of coupling the high-resolution rainfall forecasts to the PDM and the improvement in timeliness of flood warning that might have been possible. Copyright © 2008 Royal Meteorological Society

Lady Carlisle [Illustration] : (Porträt)

Samuel Cooper