1916: A Global History

The mud-filled, blood-soaked trenches of the Low Countries and North-Eastern Europe were essential battlegrounds during the First World War, but the war reached many other corners of the globe, and events elsewhere significantly affected its course.

Covering the twelve months of 1916, eminent historian Keith Jeffery uses twelve moments from a range of locations and shows how they reverberated around the world. As well as discussing better-known battles such as Gallipoli, Verdun and the Somme, Jeffery examines Dublin, for the Easter Rising, East Africa, the Italian front, Central Asia and Russia, where the killing of Rasputin exposed the internal political weakness of the country's empire. And, in charting a wide range of wartime experience, he studies the 'intelligence war', naval engagements at Jutland and elsewhere, as well as the political consequences that ensued from the momentous US presidential election.

Using an extraordinary range of military, social and cultural sources, and relating the individual experiences on the ground to wider developments, these are the stories lost to history, the conflicts that spread beyond the sphere of Europe and the moments that transformed the war. - See more at: http://www.bloomsbury.com/uk/1916-9781408834305/#sthash.axFq0psR.dpuf

Inserción del Ecuador en la región Asia Pacífico: algunas reflexiones para la nueva administración (Tema Central)

El autor destaca la importancia en términos de compromisos políticos del Ecuador hacia una relación más estrecha con los países del Asia-Pacífico. El nuevo gobierno debe diseñar sus políticas en correspondencia con el escenario impuesto por la democracia liberal y el libre mercado, considerar incentivos para el desarrollo del comercio exterior y atracci6n de inversiones y tomar en cuenta la importancia de la competitividad interna. El sector privado debe revertir el comportamiento irregular de la exportaciones hacia algunos países de Asia-Pacífico y el Ministerio de Relaciones Exteriores fortalecer los lazos a nivel político-diplomático. Finalmente, el autor enfatiza la necesidad de una rápida modernización del sector público.

The precipitation climate of Central Asia: intercomparison of observational and numerical data sources in a remote semiarid region

In this study, we systematically compare a wide range of observational and numerical precipitation datasets for Central Asia. Data considered include two re-analyses, three datasets based on direct observations, and the output of a regional climate model simulation driven by a global re-analysis. These are validated and intercompared with respect to their ability to represent the Central Asian precipitation climate. In each of the datasets, we consider the mean spatial distribution and the seasonal cycle of precipitation, the amplitude of interannual variability, the representation of individual yearly anomalies, the precipitation sensitivity (i.e. the response to wet and dry conditions), and the temporal homogeneity of precipitation. Additionally, we carried out part of these analyses for datasets available in real time. The mutual agreement between the observations is used as an indication of how far these data can be used for validating precipitation data from other sources. In particular, we show that the observations usually agree qualitatively on anomalies in individual years while it is not always possible to use them for the quantitative validation of the amplitude of interannual variability. The regional climate model is capable of improving the spatial distribution of precipitation. At the same time, it strongly underestimates summer precipitation and its variability, while interannual variations are well represented during the other seasons, in particular in the Central Asian mountains during winter and spring

Statistical–dynamical downscaling of present day and future precipitation regimes in the Aksu river catchment in Central Asia

A statistical–dynamical downscaling (SDD) approach is applied to determine present day and future high-resolution rainfall distributions in the catchment of the river Aksu at the southern slopes of the Tienshan Mountains, Central Asia. First, a circulation weather type (CWT) classification is employed to define typical lower atmospheric flow regimes from ERA-40 reanalysis data. Selected representatives of each CWT are dynamically downscaled with the regional climate model COSMO-CLM 4.8 at a horizontal grid resolution of 0.0625°, using the ERA-40 reanalysis data as boundary conditions. Finally, the simulated representatives are recombined to obtain a high-resolution rainfall climatology for present day climate. The methodology is also applied to ensemble simulations of three different scenarios of the global climate model ECHAM5/MPI-OM1 to derive projections of rainfall changes until 2100. Comparisons of downscaled seasonal and annual rainfall with observational data suggest that the statistical–dynamical approach is appropriate to capture the observed present-day precipitation climatology over the low lands and the first elevations of the Tienshan Mountains. On the other hand, a strong bias is found at higher altitudes, where precipitation is clearly underestimated by SDD. The application of SDD to the ECHAM5/MPI-OM1 ensemble reveals that precipitation changes by the end of the 21st century depend on the season. While for autumn an increase of seasonal precipitation is found for all simulations, a decrease in precipitation is obtained during winter for most parts of the Aksu catchment. The spread between different ECHAM5/MPI-OM1 ensemble members is strongest in spring, where trends of opposite sign are found. The largest changes in rainfall are simulated for the summer season, which also shows the most pronounced spatial heterogeneity. Most ECHAM5/MPI-OM1 realizations indicate a decrease of annual precipitation over large parts of the Tienshan, and an increase restricted to the southeast of the study area. These results provide a good basis for downscaling present-day and future rainfall distributions for hydrological purposes.