Technology gaps Sample Clauses
A Technology Gaps clause defines how the parties will address situations where current technology is insufficient to meet certain contractual requirements or expectations. Typically, this clause outlines procedures for identifying such gaps, the responsibilities of each party in seeking solutions, and possible adjustments to timelines or deliverables if technology limitations are encountered. Its core function is to manage risk and set clear expectations by providing a framework for handling unforeseen technological limitations, thereby preventing disputes and ensuring project continuity.
Technology gaps. Snow and ice cover of instruments may give erroneous results
Technology gaps. The data gaps identified in 4.3.2 are partly caused by technical gaps, i.
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.
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.