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Abstract
Earthlings like to measure everything (especially now that we are undergoing the era of big-data revolution) maybe because it is such a nice hobby... although a more serious school of thought believes that when measuring our environment we get to understand physics and ourselves.
This thesis explores the uncertainties in rainfall measurements from state-of-the-art technologies like commercial microwave links (CML) and meteorological satellites. Rainfall has been measured by rain gauges since quite some time ago; and by weather radars since the end of WWII. Here we evaluate the performance of gridded-rainfall products for the land surface of the Netherlands. These gridded-rainfall products are CML-rainfall maps produced by the Royal Netherlands Meteorology Institute (KNMI), and the IMERG product developed by Global Precipitation Measurement mission (GPM).
Overall, this thesis shows that CML-rainfall products are very reliable sources with regards to rainfall estimates for the land surface of the Netherlands... even better than the satellite products for rainfall estimation. We are also confident in the promising potential these technologies hold for places around the world where conventional technologies like gauges or radars are not scarce or not affordable.
Original language | English |
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Qualification | Doctor of Philosophy |
Awarding Institution |
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Supervisors/Advisors |
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Award date | 20 Jun 2017 |
Place of Publication | Wageningen |
Publisher | |
Print ISBNs | 9789463432009 |
DOIs | |
Publication status | Published - 20 Jun 2017 |
Keywords
- rain
- remote sensing
- satellites
- estimation
- netherlands
- brazil
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Dive into the research topics of 'Rainfall over the Netherlands & beyond: a remote sensing perspective'. Together they form a unique fingerprint.Projects
- 1 Finished
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Anticipating the Global Precipitation Measurement mission : sampling uncertainties and ground validation in The Netherlands (GPM_NL)
Rios Gaona, M. (PhD candidate), Uijlenhoet, R. (Promotor), Leijnse, H. (Co-promotor) & Overeem, A. (Co-promotor)
8/05/13 → 20/06/17
Project: PhD