A two-parameter wind speed algorithm for Ku-band altimeters

Globally distributed crossovers of altimeter and scatterometer observations clearly demonstrate that ocean altimeter backscatter correlates with both the near-surface wind speed and the sea state. Satellite data from TOPEX/Poseidon and NSCAT are used to develop an empirical altimeter wind speed model that attenuates the sea-state signature and improves upon the present operational altimeter wind model. The inversion is defined using a multilayer perceptron neural network with altimeter-derived backscatter and significant wave height as inputs. Comparisons between this new model and past single input routines indicates that the rms wind error is reduced by 10%–15% in tandem with the lowering of wind error residuals dependent on the sea state. Both model intercomparison and validation of the new routine are detailed, including the use of large independent data compilations that include the SeaWinds and ERS scatterometers, ECMWF wind fields, and buoy measurements. The model provides consistent improvement against these varied sources with a wind-independent bias below 0.3 m s?1. The continuous form of the defined function, along with the global data used in its derivation, suggest an algorithm suitable for operational application to Ku-band altimeters. Further model improvement through wave height inclusion is limited due to an inherent multivaluedness between any single realization of the altimeter measurement pair [?o, HS] and observed near-surface winds. This ambiguity indicates that HS is a limited proxy for variable gravity wave properties that impact upon altimeter backscatter

Economic geography and European integration: The effects on the EU external border regions

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Economic geography and European integration: The effects on the EU's external border regions

The new European economic space is characterised by growing levels of economic integration among EU members and their neighbouring countries in the East. By and large, East-West integration implies increasing interaction across the external borders of the EU. This paper investigates the impact of integration dynamics on the development prospects of border regions, which are traditionally characterised as low opportunity areas, hosting less advanced local economies. The paper investigates the integration experience of external border regions, as well as the role of distance, market size and agglomeration economies in the process of cross-border interaction. The findings of the analysis have important implications for theory and policy. Copyright © 2008, Inderscience Publishers

Geographies of (in)justice and the (in)effectiveness of place-based policies in Greece

This paper investigates the policy context of spatial injustice in Greece. Given the polarized nature of the economy and the centralized structure of the public sector, the paper examines whether place-based policies that attempt to strengthen the local level and mobilize local assets would be better opt to deliver a fair and equitable distribution of socially valued resources and opportunities in space. In this context, the paper presents and discusses the findings of four case studies and four policy-driven actions related to the design and implementation of a post-lignite local strategy, the establishment of a credible innovation strategy in a metropolitan area, the development of social economy in a lagging region and the upscaling of local government in a medium-sized city. The case studies investigate the conditioning factors that encourage or obstruct the local level to implement effective place-based policies that can contribute to spatial justice. On this basis, the paper evaluates the capability of the current policy and institutional setting to generate spatial justice and provides policy recommendations that will empower the local level in confronting socio-economic challenges and unbalanced spatial growth. © 2021 Informa UK Limited, trading as Taylor & Francis Group

Large-scale identification, mapping, and genotyping of single-nucleotide polymorphisms in the human genome

Single-nucleotide polymorphisms (SNPs) are the most frequent type of variation in the human genome, and they provide powerful tools for a variety of medical genetic studies. In a large-scale survey for SNPs, 2.3 megabases of human genomic DNA was examined by a combination of gel-based sequencing and high-density variation-detection DNA chips. A total of 3241 candidate SNPs were identified. A genetic map was constructed showing the location of 2227 of these SNPs. Prototype genotyping chips were developed that allow simultaneous genotyping of 500 SNPs. The results provide a characterization of human diversity at the nucleotide level and demonstrate the feasibility of large-scale identification of human SNPs