Forecasting snow and black ice growth from temperature and precipitation
(1984) 7th IAHR International Symposium on Ice p.173-186- Abstract
- Growth of ice and the type of ice that is formed have environmental impact on a lake. Although ice growth is reasonably well estimated by the degree-day method, this method does not allow to distinguish between different types of ice. In this paper, an algorithm or model is suggested for computing black and white ice growth and lake snowcover depth. Input is daily values of air temperature and precipitation. The model is applied to a water body in northern Sweden. Also, some theoretical situations are simulated. Total ice thickness is well computed through a freezing period, but white ice formation is not computed very accurately in the first one or two months after freeze-up, because of difficulties in estimating snow precipitation. Total... (More)
- Growth of ice and the type of ice that is formed have environmental impact on a lake. Although ice growth is reasonably well estimated by the degree-day method, this method does not allow to distinguish between different types of ice. In this paper, an algorithm or model is suggested for computing black and white ice growth and lake snowcover depth. Input is daily values of air temperature and precipitation. The model is applied to a water body in northern Sweden. Also, some theoretical situations are simulated. Total ice thickness is well computed through a freezing period, but white ice formation is not computed very accurately in the first one or two months after freeze-up, because of difficulties in estimating snow precipitation. Total ice thickness is well determined by the degree-day method, but where the winters are not very stable, it is difficult to estimate an § priori value of the degree-day coefficient. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/cf97be0d-37b2-43f2-8888-cc2f72f3e371
- author
- Bengtsson, Lars LU
- alternative title
- Prognosering av stöpis ich kärnis utifrån temperatur och nederbörd
- publishing date
- 1984
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the 7th IAHR International Symposium on Ice
- pages
- 14 pages
- publisher
- Hamburgische Schiffbau Versuchanstalt
- conference name
- 7th IAHR International Symposium on Ice
- conference location
- Hamburg, Germany
- conference dates
- 1984-08-27 - 1984-08-31
- ISBN
- 3917501820
- language
- English
- LU publication?
- no
- id
- cf97be0d-37b2-43f2-8888-cc2f72f3e371
- date added to LUP
- 2023-10-13 18:06:53
- date last changed
- 2023-12-08 08:49:13
@inproceedings{cf97be0d-37b2-43f2-8888-cc2f72f3e371,
abstract = {{Growth of ice and the type of ice that is formed have environmental impact on a lake. Although ice growth is reasonably well estimated by the degree-day method, this method does not allow to distinguish between different types of ice. In this paper, an algorithm or model is suggested for computing black and white ice growth and lake snowcover depth. Input is daily values of air temperature and precipitation. The model is applied to a water body in northern Sweden. Also, some theoretical situations are simulated. Total ice thickness is well computed through a freezing period, but white ice formation is not computed very accurately in the first one or two months after freeze-up, because of difficulties in estimating snow precipitation. Total ice thickness is well determined by the degree-day method, but where the winters are not very stable, it is difficult to estimate an § priori value of the degree-day coefficient.}},
author = {{Bengtsson, Lars}},
booktitle = {{Proceedings of the 7th IAHR International Symposium on Ice}},
isbn = {{3917501820}},
language = {{eng}},
pages = {{173--186}},
publisher = {{Hamburgische Schiffbau Versuchanstalt}},
title = {{Forecasting snow and black ice growth from temperature and precipitation}},
year = {{1984}},
}