Analyses of a 238-year long monthly precipitation time sequence by use of filtering techniques
(1993) In IAHS Publications 213. p.103-111- Abstract
This study aims at investigating the occurrence and characteristics of drought patterns by analyzing a 238-year long monthly precipitation time sequence observed at Lund in Sweden using an ordinary Kalman filter (OKF) and an adaptive Kalman filter (AKF). The OKF identifies the periods (in the time sequence) with anomalous precipitation by comparing the observed and average precipitation patterns. The AKF detects the changes of the long-term precipitation patterns in the time sequence. These changes are associated with the abrupt changes in the parameters of a periodic-stochastic model. The time sequence is divided into several precipitation epochs, where an epoch is uniquely represented by one set of parameter values. The precipitation... (More)
This study aims at investigating the occurrence and characteristics of drought patterns by analyzing a 238-year long monthly precipitation time sequence observed at Lund in Sweden using an ordinary Kalman filter (OKF) and an adaptive Kalman filter (AKF). The OKF identifies the periods (in the time sequence) with anomalous precipitation by comparing the observed and average precipitation patterns. The AKF detects the changes of the long-term precipitation patterns in the time sequence. These changes are associated with the abrupt changes in the parameters of a periodic-stochastic model. The time sequence is divided into several precipitation epochs, where an epoch is uniquely represented by one set of parameter values. The precipitation pattern in each epoch reveals whether the risk of drought occurrence is high or not in an epoch. -Authors
(Less)
- author
- Kawamura, A. ; Jinno, K. and Berndtsson, R. LU
- organization
- publishing date
- 1993
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Extreme Hydrological Events: Precipitation, Floods and Droughts (Proceedings of the Yokohama Symposium, July 1993)
- series title
- IAHS Publications
- volume
- 213
- pages
- 9 pages
- publisher
- IAHS
- external identifiers
-
- scopus:85058870118
- scopus:0027811394
- language
- English
- LU publication?
- yes
- id
- 30b056ff-6050-460f-83b9-34515b19bfe4
- alternative location
- https://iahs.info/uploads/dms/9345.103-111-213-Kawamura.pdf
- date added to LUP
- 2023-08-17 15:05:02
- date last changed
- 2024-01-05 04:45:20
@inproceedings{30b056ff-6050-460f-83b9-34515b19bfe4, abstract = {{<p>This study aims at investigating the occurrence and characteristics of drought patterns by analyzing a 238-year long monthly precipitation time sequence observed at Lund in Sweden using an ordinary Kalman filter (OKF) and an adaptive Kalman filter (AKF). The OKF identifies the periods (in the time sequence) with anomalous precipitation by comparing the observed and average precipitation patterns. The AKF detects the changes of the long-term precipitation patterns in the time sequence. These changes are associated with the abrupt changes in the parameters of a periodic-stochastic model. The time sequence is divided into several precipitation epochs, where an epoch is uniquely represented by one set of parameter values. The precipitation pattern in each epoch reveals whether the risk of drought occurrence is high or not in an epoch. -Authors</p>}}, author = {{Kawamura, A. and Jinno, K. and Berndtsson, R.}}, booktitle = {{Extreme Hydrological Events: Precipitation, Floods and Droughts (Proceedings of the Yokohama Symposium, July 1993)}}, language = {{eng}}, pages = {{103--111}}, publisher = {{IAHS}}, series = {{IAHS Publications}}, title = {{Analyses of a 238-year long monthly precipitation time sequence by use of filtering techniques}}, url = {{https://iahs.info/uploads/dms/9345.103-111-213-Kawamura.pdf}}, volume = {{213}}, year = {{1993}}, }