Technology gaps Sample Clauses

Technology gaps. There are in general very few atmospheric stations in operation in the Arctic. Adverse weather conditions, cold temperatures, especially in winter, and prevailing darkness are among the many challenges of making measurements in the Arctic atmosphere. Logistical problems and challenges in designing instruments that can provide accurate measurements are other factors that limit the data. It is traditionally a challenge to secure stability of data sensors in the Arctic due to the severe weather conditions and the remoteness of stations that limits the possibility for service visits. At the Villum Research Station in North Greenland, this issue has been accommodated by running two ozone monitors in parallel, so data are available from one monitor in case the other monitor breaks down. It is a costly solution, but this has dramatically improved the stability of data delivery. Automated data control is difficult, and poor data quality can impact on verification results. CAMS reports experience of suffering from data biases, excessively noisy data, incorrect metadata and data formatting, and that there is still a gap in quality control to be addressed.
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Technology gaps. Snow and ice cover of instruments may give erroneous results
Technology gaps. For C3S it is important to have homogeneous time series, and it is a limitation if instrumentation and methodology change over time without proper documentation. Comprehensive metadata as well as documentation is very important for quality assessment and proper use of meteorological data. The documentation and technical requirements are generally better if data are retrieved from a formal network with some internal guidelines. However, data from different sources are often used for the Arctic in order to gain as much data as possible.  Data are retrieved from a large number of instruments using different technologies.  Instrumentation may be sensitive to coverage of snow and ice and provide erroneous data. This is not easily detected. Snow covering traditional in situ temperature sensors is a major error source for Arctic temperature observations.
Technology gaps. The data gaps identified in 4.3.2 are partly caused by technical gaps, i.e. there is a lack of cost-effective technology to make qualified in situ observations. For example, there are severe limitations in measurements over the seasonal ice zone and ice-covered waters. In the following we pinpoint some of technology gaps in the Arctic Ocean monitoring. Some of the issues mentioned below may not be due to the technology itself but the data gaps are caused by a specific platform: Technologies:  More cost-effective technology for under-ice water and MIZ monitoring, either to reduce the cost or improve the efficiency of existing technology such as ITP and gliders, or develop new technologies such as under-ice Argo, cost-effective wave monitoring instruments. This will significantly increase the amount of under-ice water measurements.  More cost-effective BioArgo: currently a BioArgo float is 5 times more expensive than a normal Argo float. Reduced cost and improved efficiency and more parameters can be a significant contribution to BGC measurements.  Improved sea mammals tagged monitoring: they are autonomous and thrive specifically in the seasonal ice zone. The data needs drift correction and is mostly usable in delayed-mode.  Matured acoustic tomography technology: acoustic tomography data works in the seasonal ice zone but its use for assimilation is not yet common.  Delivery time of cruise data: fast delivery of the cruise data is needed to fit for the purpose of CMEMS NRT/interim applications.  More advanced data assimilation technology: this will help to use more observations such as Ferrybox data and BGC observations.  More cost-effective technology for snow depth, ice thickness and IST monitoring: current only IMB buoys and near surface radiometers are available. The number of stations is also very much limited.  Better technology for ice surface drifter buoys measuring IST: the ice surface drifters provide ice surface temperature. However, their quality is too low to be used for IST Cal/Val. Data management:  Currently there is a lack of data collection and integration for Copernicus usage. As shown in s3.3, many datasets exist but have not been collected centrally for Copernicus use.  SST TAC: In terms of platforms, more metadata are required to better select or filter out the platforms to be used with confidence for validation. The current CMEMS NetCDF data files contain very few metadata on their associated buoy or float, while buoy or fl...

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  • Research, Science and Technology Cooperation 1. The aims of cooperation in research, science and technology, carried out in the mutual interest of the Parties and in compliance with their policies, will be: (a) to build on existing agreements already in place for cooperation on research, science and technology; (b) to encourage, where appropriate, government agencies, research institutions, universities, private companies and other research organizations in the Parties to conclude direct arrangements in support of cooperative activities, programs or projects within the framework of this Agreement, specially related to trade and commerce; and (c) to focus cooperative activities towards sectors where mutual and complementary interests exist, with special emphasis on information and communication technologies and software development to facilitate trade between the Parties. 2. The Parties will encourage and facilitate, as appropriate, the following activities including, but not limited to:

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