The Randolph Glacier Inventory (RGI) is a globally complete collection of digital outlines of glaciers, excluding the ice sheets, developed to meet the needs of the Fifth Assessment of the Intergovernmental Panel on Climate Change for estimates of past and future mass balance. The RGI was created with limited resources in a short period. Priority was given to completeness of coverage, but a limited, uniform set of attributes is attached to each of the ~198 000 glaciers in its latest version, 3.2. Satellite imagery from 1999–2010 provided most of the outlines. Their total extent is estimated as 726 800 ± 34 000 km2. The uncertainty, about ±5%, is derived from careful single-glacier and basin-scale uncertainty estimates and comparisons with inventories that were not sources for the RGI. The main contributors to uncertainty are probably misinterpretation of seasonal snow cover and debris cover. These errors appear not to be normally distributed, and quantifying them reliably is an unsolved problem. Combined with digital elevation models, the RGI glacier outlines yield hypsometries that can be combined with atmospheric data or model outputs for analysis of the impacts of climatic change on glaciers. The RGI has already proved its value in the generation of significantly improved aggregate estimates of glacier mass changes and total volume, and thus actual and potential contributions to sea-level rise.

The strain driven self-assembly of faceted Ge nanocrystals during epitaxy on Si(001) to form quantum dots (QDs) is by now well known. We have also recently provided an understanding of the thermodynamic driving force for directed assembly of QDs on bulk Si (extendable to other QD systems) based on local chemical potential and curvature of the surface. Silicon-on-insulator (SOI) produces unique new phenomena. The essential thermodynamic instability of the very thin crystalline layer (called the template layer) resting on an oxide can cause this layer, under appropriate conditions, to dewet, agglomerate, and self-organize into an array of Si nanocrystals. Using low-energy electron microscopy (LEEM), we observe this process and, with the help of first-principles total-energy calculations, we provide a quantitative understanding of this pattern formation. The Si nanocrystal pattern formation can be controlled by lithographic patterning of the SOI prior to the dewetting process. The resulting patterns of electrically isolated Si nanocrystals can in turn be used as a template for growth of nanostructures, such as carbon nanotubes (CNTs). Finally we show that this growth may be controlled by the flow dynamics of the feed gas across the substrate.

Excavations in 1972–75 on behalf of the Department of the Environment revealed an extensive Iron Age settlement and traces of widespread Roman agricultural and industrial activity at Wakerley, Northamptonshire (FIG. 2). The settlement was situated in Wakerley parish, immediately to the south of the road running between the villages of Wakerley and Harringworth and nine miles north-northeast of Corby (FIG. 3). It was sited on sloping ground, overlooking the valley of the River Welland, and some ½ mile from the river itself. From the site there are extensive views of the river valley to the north and west and of the hills and dales of Rutland that lie beyond. A deep natural gully occurs in the hillside, just to the west of the settlement and, as a result, the site is in an open position and fully exposed to the westerly winds. The settlement was located between the 250 and 300 ft. contours on a wide expanse of Lower Lincolnshire Limestone. Clays of the LowerEstuarine Series and outcrops of Northampton Sand and Ironstone occur on the lower slopes of the valley below the site and in the adjacent gully to the west. It is likely that a convenient supply of water would have been available in this gully in earlier periods, but this has been piped away in modern times.