Balkanisation of banking damages international trade and UK GDP

Balkanisation is a way to describe the breakdown of cross-border banking, as nervous lenders retreat in particular from the more troubled parts of the Eurozone or at least try to isolate operations within national boundaries. It is increasing at the Bank level, however the senior policy makers consider this a negative trend – Mario Draghi, president of the European Central Bank, has talked of the need to “repair this financial fragmentation” and Mark Carney, head of global regulatory body the Financial Stability Board, [and now Governor of the Bank of England] has warned that deglobalising finance will hurt growth and jobs by “reducing financial capacity and systemic resilience”. In this article I would like to examine the impact of banking balkanisation on international trade and provide some initial thoughts about remedies for excessive risk in a banking non-balkanising world.

On the importance of Vaisala RS92 radiosonde humidity corrections for a better agreement between measured and modeled satellite radiances

A study has been carried out to assess the importance of radiosonde corrections in improving the agreement between satellite and radiosonde measurements of upper-tropospheric humidity. Infrared [High Resolution Infrared Radiation Sounder (HIRS)-12] and microwave [Advanced Microwave Sounding Unit (AMSU)-18] measurements from the NOAA-17 satellite were used for this purpose. The agreement was assessed by comparing the satellite measurements against simulated measurements using collocated radiosonde profiles of the Atmospheric Radiation Measurement (ARM) Program undertaken at tropical and midlatitude sites. The Atmospheric Radiative Transfer Simulator (ARTS) was used to simulate the satellite radiances. The comparisons have been done under clear-sky conditions, separately for daytime and nighttime soundings. Only Vaisala RS92 radiosonde sensors were used and an empirical correction (EC) was applied to the radiosonde measurements. The EC includes correction for mean calibration bias and for solar radiation error, and it removes radiosonde bias relative to three instruments of known accuracy. For the nighttime dataset, the EC significantly reduces the bias from 0.63 to 20.10 K in AMSU-18 and from 1.26 to 0.35 K in HIRS-12. The EC has an even greater impact on the daytime dataset with a bias reduction from 2.38 to 0.28 K in AMSU-18 and from 2.51 to 0.59 K in HIRS-12. The present study promises a more accurate approach in future radiosonde-based studies in the upper troposphere.