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Impact of remotely sensed data on numerical weather prediction
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    "The space-based remote sensing observation systems that have contributed so heavily to the expansion of the global data base require a sensor platform--an artificial satellite--to be placed into orbit by a powerful rocket, and then extensive ground facilities to acquire and process the data. To establish and operate such a system is very expensive; perhaps not so much as a radiosonde network yielding the same coverage, if such were possible, but nevertheless still very expensive. Once such systems had been established enquiries as to whether the usefulness of the data justified the cost of acquiring it were not long in coming. Managers, in particular, have been concerned about the cost-effectiveness of remotely-sensed data partly to evaluate past decisions to support those systems, and partly to determine whether large investments in proposed future systems would be prudent. Numerical weather prediction scientists clearly have a stake in this question, since their voices have been loudest in the cry for more data. Now that these data are available, it is important to address the scientific question of whether the remotely sensed data contribute positively to the improvement of weather forecasts, and if not, to determine whether the fault lies with the data or with the methods of their use"--Introduction.

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