The report describing the results of the WMO Intercomparison of High Quality Radiosonde Systems, which took place in Yangjiang, China between 12 July – 3 August 2010 has just been published. The report is available at
Anna Kuhn wrote:
There is a discussion, if we want an Action Item on the possibility of dissemination of near-real time data in the GRUAN Implementation Plan. From my point of view, NRT data dissemination could be done by one or a combination the following options:
- Send data via the GTS, in BUFR (preferably), alphanumeric or CREX code. It has to be clarified, whether
- all (current and future) GRUAN stations are already part of the GTS and could use their national standards, or
- if the GRUAN data archive would be connected to the GTS, or
- if the Lead Centre would collect and transfer the NRT data.
- Send data via email to a GTS centre. (often used as back up)
- Post NRT data as RSS. Users could subscribe for example on the GRUAN website.
What’s your opinion on this matter or do you have more information about the sites and their existing connections to the GTS?
“Upper Air” as used in the context of GRUAN refers to the combined troposphere and stratosphere. GRUAN places a strong emphasis on the upper troposphere/lower stratosphere region, which has the strongest climate relevance and a large variability. Measurement capabilities for different atmospheric parameters may be strongly altitude dependent and thus the abilities to achieve climate records at different altitude may vary.
Once fully completed GRUAN will be a world-wide network of reference stations. These stations should cover all major climatic regions of our planet. In its initial stage, GRUAN is heavily centered around a number of sites in Europe and the continental United States, with one site in China, several sites in the Western Pacific and only one site in the southern Mid-latitudes. Thus there is an obvious need to establish sites in a number of regions not yet covered by GRUAN.
A reference observations is an observation that gives the best estimate for the measurand as well as the best estimate for the level of confidence in this measurement. The best estimate for the measurand is nothing else than the measurement itself, the estimate for the level of confidence is described by the measurement uncertainty. Therefore, GRUAN will strive to establish uncertainty estimates for every measurement, which implies, that for a profile of an atmospheric parameter, GRUAN will attempt to establish the corresponding profile of the measurement uncertainty. The usefulness of any measurement will be determined by the size of the measurement uncertainty.
Please refer to the publication Immler et al., AMT, 2010 for more details.
The measurement uncertainty will be established by analysing all sources of measurement uncertainty and by combining them to one single error bar for each measurement point. The investigation of all sources of uncertainty will be a time consuming and iterative process and will require a detailed understanding of the instrumentation that is being used as well as a careful consideration of the operational influences that contribute to the measurement uncertainty. Error bars during the early stages of GRUAN are expected to be somewhat crude. As the understanding of the instrumentation improves and as the instrumentation itself improves, uncertainty estimations are expected to improve as well. Thus, it is expected that there will be different versions of GRUAN data, which differ mostly in their uncertainty estimate.