Improving Data Collection and Management Process of Weather Observation
Kiesiläinen, Sami (2011)
Metropolia Ammattikorkeakoulu
2011
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-201105198744
https://urn.fi/URN:NBN:fi:amk-201105198744
Tiivistelmä
Weather has been an important part of life since time immemorial. Presently, reliable weather services have high impact on society, although their benefits can not always be seen directly.
This Thesis studies the process of weather data collection and management in five cases representing four different countries. The research method chosen to investigate the problem is qualitative research using constructive case-study approach. The cases have been selected to represent a variety of societies, from modern countries such as Finland to developing countries like Nepal. Although all these cases share the same goal for the process, i.e. getting the weather observations from the observation station to the users and final storage, the process implementations vary considerably.
The outcome of this Thesis is a high-level process model which can be used in restructuring the current data management processes at the National Hydro-Meteorological Services. The proposed process model aims to avoid the most common pitfalls found in the cases. These pitfalls include, for example, parallel branches in data flow, separate data storages and the lack of automation. The proposed model would also allow for technical improvements, such as decreasing pass-through times, observation interval and improving data access. However, the proposal itself does not give any recommendations for technical solutions, because all parts of the process can be implemented in several different technologies.
This Thesis studies the process of weather data collection and management in five cases representing four different countries. The research method chosen to investigate the problem is qualitative research using constructive case-study approach. The cases have been selected to represent a variety of societies, from modern countries such as Finland to developing countries like Nepal. Although all these cases share the same goal for the process, i.e. getting the weather observations from the observation station to the users and final storage, the process implementations vary considerably.
The outcome of this Thesis is a high-level process model which can be used in restructuring the current data management processes at the National Hydro-Meteorological Services. The proposed process model aims to avoid the most common pitfalls found in the cases. These pitfalls include, for example, parallel branches in data flow, separate data storages and the lack of automation. The proposed model would also allow for technical improvements, such as decreasing pass-through times, observation interval and improving data access. However, the proposal itself does not give any recommendations for technical solutions, because all parts of the process can be implemented in several different technologies.