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Rollenbeck, R.; Trachte, K. &amp; Bendix, J. (2016): <b>A New Class of Quality Controls for Micrometeorological Data in Complex Tropical Environments</b>. <i>Journal of Atmospheric and Oceanic Technology</i> <b>33</b>(1), 169-183.

Resource Description

Title: A New Class of Quality Controls for Micrometeorological Data in Complex Tropical Environments
FOR816dw ID: 1508
Publication Date: 2016-01-25
License and Usage Rights: PAK 823-825 data user agreement. (www.tropicalmountainforest.org/dataagreementp3.do)
Resource Owner(s):
Individual: Ruetger Rollenbeck
Contact:
Individual: Katja Trachte
Contact:
Individual: Jörg Bendix
Contact:
Abstract:
Quality control is a particularly demanding problem for micrometeorological studies in complex environments. With the transition to electronic sensing and storage of climate data in high temporal resolution,<br/> traditional approaches of homogenization are insufficient for addressing the small-scale variability and spatial<br/> heterogeneity of the data. This problem can be successfully addressed by introducing a new class of control<br/> procedures based on the physical and climatological relations between different climate variables. The new<br/> approach utilizes knowledge about the interdependency of air temperature, precipitation, radiation, relative<br/> air humidity, cloud cover, and visibility to develop empirical functions for determining the probability<br/> margins for the co-occurrence of specific conditions in tropical mountains and deserts. It can also be applied to<br/> other geographic settings by adjusting the parameters derived from the data itself. All procedures are integrated into a processing chain with feedback loops and combined with conventional logical and statistical<br/> checks, which enables it to detect small errors that normally pass unnoticed. The algorithms are also adapted<br/> to incorporate the short time steps of the original data to retain the potential for detailed process analyses.
Additional Infos:
This describes the methods used to create the Best estimate data set for ECSF climate station
Keywords:
| climate | microclimate | Climate variability | data quality |
Literature type specific fields:
ARTICLE
Journal: Journal of Atmospheric and Oceanic Technology
Volume: 33
Issue: 1
Page Range: 169-183
Publisher: AMS
Metadata Provider:
Individual: Ruetger Rollenbeck
Contact:
Online Distribution:
Download File: http://www.lcrs.de/publications.do?citid=1508


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