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Water surface temperature characteristics and thermal bar evolution during spring in Lake Ladoga

Malm, Joakim LU and Jönsson, Lennart LU (1994) In Remote Sensing of Environment 48(3). p.332-332
Abstract
The present article is a study of the surface temperature distribution and its evolution during spring in Lake Ladoga, using NOAA-AVHRR Channel 4/Channel 5 (CH4/CH5) data, with special focus on a thermohydrodynamic phenomenon, called thermal bar. The split-window technique, where both constant and atmospheric-mass-dependent retrieval coefficients are tested, is used for calculating the atmospheric effects in the temperature derivation. The satellite-derived temperature data are compared with field data from six different years. The results show that on average, the satellite-derived temperatures exceed the in situ data by approximately 0.5°C. The relative advantages of images from day or night passes for the study of the thermal bar is... (More)
The present article is a study of the surface temperature distribution and its evolution during spring in Lake Ladoga, using NOAA-AVHRR Channel 4/Channel 5 (CH4/CH5) data, with special focus on a thermohydrodynamic phenomenon, called thermal bar. The split-window technique, where both constant and atmospheric-mass-dependent retrieval coefficients are tested, is used for calculating the atmospheric effects in the temperature derivation. The satellite-derived temperature data are compared with field data from six different years. The results show that on average, the satellite-derived temperatures exceed the in situ data by approximately 0.5°C. The relative advantages of images from day or night passes for the study of the thermal bar is also discussed. Surface temperature differences in the convectively mixed region (temperatures less than 4°C) show that day temperatures are on the order of 0.5°C higher than the night temperatures. However, the surface temperatures from day images seem to be more representative of the bulk temperature in a water column. A comparison of the thermal bar progression in Lake Ladoga during spring 1988 as obtained from satellite images and as predicted by a simple theoretical model shows good agreement. This result and results from an earlier study indicate that the model is a good prediction tool for thermal bar movement in large temperate lakes. (Less)
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type
Contribution to journal
publication status
published
subject
in
Remote Sensing of Environment
volume
48
issue
3
pages
338 pages
publisher
Elsevier
external identifiers
  • scopus:0028667347
ISSN
0034-4257
DOI
10.1016/0034-4257(94)90007-8
language
English
LU publication?
yes
id
8a4c7ff3-0ae0-4654-824a-2cb797acffe9
date added to LUP
2019-10-26 02:42:46
date last changed
2021-01-03 07:30:38
@article{8a4c7ff3-0ae0-4654-824a-2cb797acffe9,
  abstract     = {{The present article is a study of the surface temperature distribution and its evolution during spring in Lake Ladoga, using NOAA-AVHRR Channel 4/Channel 5 (CH4/CH5) data, with special focus on a thermohydrodynamic phenomenon, called thermal bar. The split-window technique, where both constant and atmospheric-mass-dependent retrieval coefficients are tested, is used for calculating the atmospheric effects in the temperature derivation. The satellite-derived temperature data are compared with field data from six different years. The results show that on average, the satellite-derived temperatures exceed the in situ data by approximately 0.5°C. The relative advantages of images from day or night passes for the study of the thermal bar is also discussed. Surface temperature differences in the convectively mixed region (temperatures less than 4°C) show that day temperatures are on the order of 0.5°C higher than the night temperatures. However, the surface temperatures from day images seem to be more representative of the bulk temperature in a water column. A comparison of the thermal bar progression in Lake Ladoga during spring 1988 as obtained from satellite images and as predicted by a simple theoretical model shows good agreement. This result and results from an earlier study indicate that the model is a good prediction tool for thermal bar movement in large temperate lakes.}},
  author       = {{Malm, Joakim and Jönsson, Lennart}},
  issn         = {{0034-4257}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{332--332}},
  publisher    = {{Elsevier}},
  series       = {{Remote Sensing of Environment}},
  title        = {{Water surface temperature characteristics and thermal bar evolution during spring in Lake Ladoga}},
  url          = {{http://dx.doi.org/10.1016/0034-4257(94)90007-8}},
  doi          = {{10.1016/0034-4257(94)90007-8}},
  volume       = {{48}},
  year         = {{1994}},
}