An MST radar operating at 53 MHz with an average power aperture product of 7 × 108 W m2 has been established at Gadanki (13.5°N, 79.2°E), India. The radar development has been accomplished in two phases. In the first phase it was commissioned in ST mode using a partial system comprising one quarter (16 × 16)of the Yagi antenna array and 16 driver units of the transmitters providing an average power aperture product of 4.8 × 106 W m2. In this part we present the radar system description, including off‐line data processing, and some sample high‐resolution vector wind measurements made in ST mode operation.

Abstract. The newly-installed MFR (medium frequencyradarAnnual climatologies involving both height and frequency versus time contour plots for periods from 8 h to 30 days, show that the changes with longitude are very significant and distinctive, often exceeding the local latitudinal variations. Comparisons with models and the recent UARS-HRDI global analysis of tides are discussed. The fits of the horizontal wave numbers of the longer period oscillations are provided in unique frequency versus time contour plots and shown to be consistent with the expected dominant modes. Annual climatologies of planetary waves (16 day, 2 day) and gravity waves reveal strong seasonal and longitudinal variations.

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In India, Manufacturing companies are primarily being concentrated on the production activities which led to drastic improvement of outsourcing logistics process to third party logistics (3PLS), consequently a strong outsourcing logistics can be observed over the next two decades for the development of a company. It may therefore be noted that the enhancement and extrusion are necessary in order to effectively asses risk and opportunities. To achieve this, the best logistics service provider which leads to the growth of organisation and industry has to be selected. The present work aims at the integration of Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in Fuzzy environment. The integration is carried out with more consistency while evaluating and selecting the best Logistics service provider based on ten coordination criteria viz. Custom Clearance, On Time Delivery, Number of Customers Handled, Placement Percentage, Tracking Status, Service Quality, Solving of Issues, Collecting Proof of Delivery, Region and Price. Fuzzy AHP is used to calculate relative weights of each coordination criterion. Logistics service providers are ranked based on closeness coefficient, calculated for each LSP using Fuzzy TOPSIS. By this method the LSP5 has selected as best logistic service provider among the seven LSP for battery manufacturing company.

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