Analyzing airflow in static ice caves by using the calcFLOW method
In this paper we present a method to detect airflow through ice caves and to quantify the corresponding airflow speeds by the use of temperature loggers. The time series of temperature observations at different loggers are cross-correlated. The time shift of best correlation corresponds to the trave...
Published in: | The Cryosphere |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2016
|
Subjects: | |
Online Access: | https://doi.org/10.5194/tc-10-879-2016 https://doaj.org/article/9eb69d64fa6a4e99a458c5be44185e90 |
id |
ftdoajarticles:oai:doaj.org/article:9eb69d64fa6a4e99a458c5be44185e90 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:9eb69d64fa6a4e99a458c5be44185e90 2023-05-15T18:32:30+02:00 Analyzing airflow in static ice caves by using the calcFLOW method C. Meyer U. Meyer A. Pflitsch V. Maggi 2016-04-01T00:00:00Z https://doi.org/10.5194/tc-10-879-2016 https://doaj.org/article/9eb69d64fa6a4e99a458c5be44185e90 EN eng Copernicus Publications http://www.the-cryosphere.net/10/879/2016/tc-10-879-2016.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 1994-0416 1994-0424 doi:10.5194/tc-10-879-2016 https://doaj.org/article/9eb69d64fa6a4e99a458c5be44185e90 The Cryosphere, Vol 10, Iss 2, Pp 879-894 (2016) Environmental sciences GE1-350 Geology QE1-996.5 article 2016 ftdoajarticles https://doi.org/10.5194/tc-10-879-2016 2022-12-31T14:33:38Z In this paper we present a method to detect airflow through ice caves and to quantify the corresponding airflow speeds by the use of temperature loggers. The time series of temperature observations at different loggers are cross-correlated. The time shift of best correlation corresponds to the travel time of the air and is used to derive the airflow speed between the loggers. We apply the method to test data observed inside Schellenberger Eishöhle (ice cave). The successful determination of airflow speeds depends on the existence of distinct temperature variations during the time span of interest. Moreover the airflow speed is assumed to be constant during the period used for the correlation analysis. Both requirements limit the applicability of the correlation analysis to determine instantaneous airflow speeds. Nevertheless the method is very helpful to characterize the general patterns of air movement and their slow temporal variations. The correlation analysis assumes a linear dependency between the correlated data. The good correlation we found for our test data confirms this assumption. We therefore in a second step estimate temperature biases and scale factors for the observed temperature variations by a least-squares adjustment. The observed phenomena, a warming and an attenuation of temperature variations, depending on the distance the air traveled inside the cave, are explained by a mixing of the inflowing air with the air inside the cave. Furthermore we test the significance of the determined parameters by a standard F test and study the sensitivity of the procedure to common manipulations of the original observations like smoothing. In the end we will give an outlook on possible applications and further development of this method. Article in Journal/Newspaper The Cryosphere Directory of Open Access Journals: DOAJ Articles The Cryosphere 10 2 879 894 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 C. Meyer U. Meyer A. Pflitsch V. Maggi Analyzing airflow in static ice caves by using the calcFLOW method |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
In this paper we present a method to detect airflow through ice caves and to quantify the corresponding airflow speeds by the use of temperature loggers. The time series of temperature observations at different loggers are cross-correlated. The time shift of best correlation corresponds to the travel time of the air and is used to derive the airflow speed between the loggers. We apply the method to test data observed inside Schellenberger Eishöhle (ice cave). The successful determination of airflow speeds depends on the existence of distinct temperature variations during the time span of interest. Moreover the airflow speed is assumed to be constant during the period used for the correlation analysis. Both requirements limit the applicability of the correlation analysis to determine instantaneous airflow speeds. Nevertheless the method is very helpful to characterize the general patterns of air movement and their slow temporal variations. The correlation analysis assumes a linear dependency between the correlated data. The good correlation we found for our test data confirms this assumption. We therefore in a second step estimate temperature biases and scale factors for the observed temperature variations by a least-squares adjustment. The observed phenomena, a warming and an attenuation of temperature variations, depending on the distance the air traveled inside the cave, are explained by a mixing of the inflowing air with the air inside the cave. Furthermore we test the significance of the determined parameters by a standard F test and study the sensitivity of the procedure to common manipulations of the original observations like smoothing. In the end we will give an outlook on possible applications and further development of this method. |
format |
Article in Journal/Newspaper |
author |
C. Meyer U. Meyer A. Pflitsch V. Maggi |
author_facet |
C. Meyer U. Meyer A. Pflitsch V. Maggi |
author_sort |
C. Meyer |
title |
Analyzing airflow in static ice caves by using the calcFLOW method |
title_short |
Analyzing airflow in static ice caves by using the calcFLOW method |
title_full |
Analyzing airflow in static ice caves by using the calcFLOW method |
title_fullStr |
Analyzing airflow in static ice caves by using the calcFLOW method |
title_full_unstemmed |
Analyzing airflow in static ice caves by using the calcFLOW method |
title_sort |
analyzing airflow in static ice caves by using the calcflow method |
publisher |
Copernicus Publications |
publishDate |
2016 |
url |
https://doi.org/10.5194/tc-10-879-2016 https://doaj.org/article/9eb69d64fa6a4e99a458c5be44185e90 |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_source |
The Cryosphere, Vol 10, Iss 2, Pp 879-894 (2016) |
op_relation |
http://www.the-cryosphere.net/10/879/2016/tc-10-879-2016.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 1994-0416 1994-0424 doi:10.5194/tc-10-879-2016 https://doaj.org/article/9eb69d64fa6a4e99a458c5be44185e90 |
op_doi |
https://doi.org/10.5194/tc-10-879-2016 |
container_title |
The Cryosphere |
container_volume |
10 |
container_issue |
2 |
container_start_page |
879 |
op_container_end_page |
894 |
_version_ |
1766216614598934528 |