Climate since AD 1500. Edited by R. S. Bradley of the University of Massachusetts and P. D. Jones of the Climatic Research Unit, University of East Anglia. Routledge, London and New York, 1992. Pp. xv + 679. Price £85.00 (hard back). ISBN 0 415 07593 9

1993 ◽  
Vol 119 (509) ◽  
pp. 217-219
Author(s):  
H. H. Lamb
2017 ◽  
Author(s):  
Chloé Meyer

Estimation of the annual economical exposition to drought based on Standardized Precipitation Index. It is based on three sources: 1) A global monthly gridded precipitation dataset obtained from the Climatic Research Unit (University of East Anglia). 2) A GIS modeling of global Standardized Precipitation Index based on Brad Lyon (IRI, Columbia University) methodology. 3) A Global Domestic Product grid for the year 2010, provided by the World Bank. Unit is expected average annual GDP (2007 as the year of reference) exposed in (US $, year 2000 equivalent). For more information, visit: http://preview.grid.unep.ch/ Cost Drought Exposure Risk


2011 ◽  
Vol 18 (4) ◽  
pp. 459-460 ◽  
Author(s):  
Madhavi Sunder

Protocols in international law seem to be proliferating. Examples of official protocols at international law abound, from the 1967 Stockholm Protocol Regarding Developing Countries (amending the Berne Convention on copyright), to the 1997 Kyoto Protocol on climate change, to the recent Nagoya Protocol on Access and Benefit Sharing in 2010. But what exactly is a “protocol” compared to other international legal instruments, such as declarations and treaties? And why does there seem to be a flurry of new protocols today, in domains as vast as intellectual property and indigenous people's rights? On 19 August a new “working group” convened at the New York University School of Law to begin to study protocols, especially with an eye toward their use as a tool to protect indigenous cultural property—hence, the term “cultural protocols.” The working group is the brainchild of Dr. Jane Anderson of the University of Massachusetts and Professor Barton Beebe of the New York University School of Law.


Author(s):  
Richard Bradley

Not many prehistoric houses survive above their foundations. The three dimensions of the buildings are collapsed (sometimes literally) into the two dimensions of the site plan. That may be all that can be discovered by archaeology, and yet the missing component could have been all-important. The change of perspective is revealing, for the treatment of the walls and roof may be just as significant as the layout of the floor. Few excavated houses are as well preserved as those in the Near East, and there are many parts of Europe in which the question cannot be investigated directly. Here, the existence of ceramic models suggests an alternative approach. During 2010, two exhibitions featuring the arts of the first farmers took place in Britain. They ran simultaneously, one in Oxford and the other in Norwich. They also complemented one another geographically and thematically. The Lost World of Old Europe was organized by The Institute for the Study of the Ancient World at New York University (Anthony 2010), and Unearthed by the Sainsbury Centre for Visual Arts of the University of East Anglia (Bailey et al 2010). The display at the Ashmolean Museum in Oxford featured artefacts from Romania, Moldova, and Bulgaria, whilst that in Norwich was restricted to finds of figurines from Romania, Albania, and Macedonia, although they were compared with others from the Jomon Culture of Japan. Not surprisingly, the Neolithic and Chalcolithic objects spanned a long period of time and were associated with several regional groups. Some were elaborately decorated, while others were entirely plain. The artefacts shown in Norwich were all depictions of the human form, but those in Oxford also included pottery vessels, stone artefacts, and early metalwork. One small group of objects was especially striking, for it consisted of ceramic models of domestic buildings. In one case, from the Cucuteni Culture of Romania, a group of figurines had been discovered inside a miniature house of this kind. The evidence of such models is revealing. There were examples in which the outer wall was highlighted by angular designs, as if to emphasize the rectilinear outline of the building, but there was also a model in the Oxford exhibition which showed a structure with a similar ground plan whose exterior was covered by curvilinear motifs.


HortScience ◽  
1994 ◽  
Vol 29 (5) ◽  
pp. 519e-519
Author(s):  
Duane W. Greene ◽  
Wesley R. Autio

There is a general increase in interest in planting new apple cultivars. Promising new apple cultivars have been identified from around the world and from breeding programs in Arkansas, British Columbia, New York, New Jersey and the PRI Program. Trees were propagated and planted in a cultivar evaluation block at the University of Massachusetts Horticultural Research Center. Fruit assessment consisted of laboratory analysis and visual and sensory evaluation. Fruit were rated and several cultivars were identified as showing extreme promise and being worthy of further evaluation. These apple cultivars include: Sansa, Ginger Gold, Honeycrisp, BC 8M 15-10, BC 17-30, Arlet (Swiss Gourmet), NY 75414-1, NY 429, Golden Supreme and SunCrisp (NJ 55). The strong and weak points of each cultivars will be discussed.


2021 ◽  
Author(s):  
Zuzana Bestakova ◽  
Petr Maca ◽  
Jan Kysely ◽  
Ujjwal Singh ◽  
Yannis Markonis ◽  
...  

<p>The study deals with probabilities of transitions from arid to humid environment and vice versa in<br>Europe. Aridity index, defined as a ratio of potential evapotranspiration and precipitation and<br>representing the ratio between energy availability and water availability, is used to characterize humid<br>(wet) and arid (dry) regions and allows us to study transitions between individual periods (wet-wet,<br>wet-dry, dry-dry, dry-wet). Three gridded datasets – CRU (UEA, 2020), E-OBS (ECAD, 2020) and ERA5<br>(ECMWF, 2020) – are used for this purpose. The aim of the study is to compare the three datasets as<br>to transitions between wet and dry conditions, which are determined according to the aridity index,<br>and evaluate the variability in Europe over 1950–2019. The changes in the aridity index since 1950 are<br>found to be most pronounced in Northern and Central Europe.</p><p><br>references:<br>ECAD, 2020: E-OBS gridded dataset, available from<br><https://www.ecad.eu/download/ensembles/download.php>.<br>UEA, 2020: University of East Anglia – Climatic Research Unit, available from<br><https://lr1.uea.ac.uk/cru/data>.<br>ECMWF, 2020: European Centre for Medium-Range Weather Forecasts – ERA5, available from<br><https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5>.</p>


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