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A cautionary note on the use of Gaussian statistics in satellite-based UTH climatologies
University of Miami, Rosenstiel School of Marine and Atmospheric Sciences, Miami.
LuleƄ University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology.ORCID iD: 0000-0001-6389-1160
2006 (English)In: IEEE Geoscience and Remote Sensing Letters, ISSN 1545-598X, E-ISSN 1558-0571, Vol. 3, no 1, 130-134 p.Article in journal (Refereed) Published
Abstract [en]

This letter presents a cautionary note on the assumption of Gaussian behavior for upper tropospheric humidity (UTH) derived from satellite data in climatological studies, which can introduce a wet bias in the climatology. An example study using European Centre for Medium-Range Weather Forecasts reanalysis data shows that this wet bias can reach up to 6 %RH, which is significant for climatological applications. A simple Monte Carlo approach demonstrates that these differences and their link to the variability of brightness temperatures are due to a log-normal distribution of the UTH. This problem can be solved by using robust estimators such as the median instead of the arithmetic mean.

Place, publisher, year, edition, pages
2006. Vol. 3, no 1, 130-134 p.
National Category
Aerospace Engineering
Research subject
Space Technology
Identifiers
URN: urn:nbn:se:ltu:diva-9769DOI: 10.1109/LGRS.2005.859350Local ID: 872f13c0-f4bc-11db-ac9f-000ea68e967bOAI: oai:DiVA.org:ltu-9769DiVA: diva2:982707
Note
Validerad; 2006; 20070427 (pafi)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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