Projecting Ice-Affected Streamflow by Extended Kalman Filtering
An extended Kalman filter was developed to automate the real-time projection of ice-affected streamflow, based on routine measurements of stage and air temperature and the relation between stage and flow during open-water conditions. The form accommodates three dynamic modes of ice effects: sudden f...
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ftdtic:ADA335228 2023-05-15T16:37:14+02:00 Projecting Ice-Affected Streamflow by Extended Kalman Filtering Holtschlag, David J. Parker, Charles T. Grewal, Mohinder S. GEOLOGICAL SURVEY LANSING MI WATER RESOURCES DIV 1997-12 text/html http://www.dtic.mil/docs/citations/ADA335228 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA335228 en eng http://www.dtic.mil/docs/citations/ADA335228 APPROVED FOR PUBLIC RELEASE DTIC Hydrology Limnology and Potamology Snow Ice and Permafrost *ICE FORMATION *STREAMFLOW ANALYSIS ATMOSPHERIC TEMPERATURE KALMAN FILTERING ICE MECHANICS CLIMATE OPEN WATER ICE FORECASTING RIVER CURRENTS PLATTE RIVER SAINT JOHN RIVER Text 1997 ftdtic 2016-02-20T01:28:18Z An extended Kalman filter was developed to automate the real-time projection of ice-affected streamflow, based on routine measurements of stage and air temperature and the relation between stage and flow during open-water conditions. The form accommodates three dynamic modes of ice effects: sudden formation-ablation, stable ice conditions, and final elimination. The filter was applied to historical data from two long-term stream-flow-gaging stations. They were stable and parameters converged for both stations, producing estimates that were highly correlated with and linearly related to published streamflow values in a log-transformed metric. At St. John River at Dickey, Maine, logarithms of projected streamflow values were within 8% of the logarithms of published values 87.2% of the time and within 15% of published values 96.6% of the time during periods of ice effects. At Platte River at North Bend, Nebraska, logarithms of projected streamflow values were within 8% of the logarithms of published daily values 90.7% of the time and within 15%, 97.7% of the time during ice-affected conditions. This extended Kalman filter allows estimation of ice-affected streamflow at other gaging stations by adjusting filter parameters to site-specific conditions. Text Ice permafrost Defense Technical Information Center: DTIC Technical Reports database |
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Open Polar |
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Defense Technical Information Center: DTIC Technical Reports database |
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ftdtic |
language |
English |
topic |
Hydrology Limnology and Potamology Snow Ice and Permafrost *ICE FORMATION *STREAMFLOW ANALYSIS ATMOSPHERIC TEMPERATURE KALMAN FILTERING ICE MECHANICS CLIMATE OPEN WATER ICE FORECASTING RIVER CURRENTS PLATTE RIVER SAINT JOHN RIVER |
spellingShingle |
Hydrology Limnology and Potamology Snow Ice and Permafrost *ICE FORMATION *STREAMFLOW ANALYSIS ATMOSPHERIC TEMPERATURE KALMAN FILTERING ICE MECHANICS CLIMATE OPEN WATER ICE FORECASTING RIVER CURRENTS PLATTE RIVER SAINT JOHN RIVER Holtschlag, David J. Parker, Charles T. Grewal, Mohinder S. Projecting Ice-Affected Streamflow by Extended Kalman Filtering |
topic_facet |
Hydrology Limnology and Potamology Snow Ice and Permafrost *ICE FORMATION *STREAMFLOW ANALYSIS ATMOSPHERIC TEMPERATURE KALMAN FILTERING ICE MECHANICS CLIMATE OPEN WATER ICE FORECASTING RIVER CURRENTS PLATTE RIVER SAINT JOHN RIVER |
description |
An extended Kalman filter was developed to automate the real-time projection of ice-affected streamflow, based on routine measurements of stage and air temperature and the relation between stage and flow during open-water conditions. The form accommodates three dynamic modes of ice effects: sudden formation-ablation, stable ice conditions, and final elimination. The filter was applied to historical data from two long-term stream-flow-gaging stations. They were stable and parameters converged for both stations, producing estimates that were highly correlated with and linearly related to published streamflow values in a log-transformed metric. At St. John River at Dickey, Maine, logarithms of projected streamflow values were within 8% of the logarithms of published values 87.2% of the time and within 15% of published values 96.6% of the time during periods of ice effects. At Platte River at North Bend, Nebraska, logarithms of projected streamflow values were within 8% of the logarithms of published daily values 90.7% of the time and within 15%, 97.7% of the time during ice-affected conditions. This extended Kalman filter allows estimation of ice-affected streamflow at other gaging stations by adjusting filter parameters to site-specific conditions. |
author2 |
GEOLOGICAL SURVEY LANSING MI WATER RESOURCES DIV |
format |
Text |
author |
Holtschlag, David J. Parker, Charles T. Grewal, Mohinder S. |
author_facet |
Holtschlag, David J. Parker, Charles T. Grewal, Mohinder S. |
author_sort |
Holtschlag, David J. |
title |
Projecting Ice-Affected Streamflow by Extended Kalman Filtering |
title_short |
Projecting Ice-Affected Streamflow by Extended Kalman Filtering |
title_full |
Projecting Ice-Affected Streamflow by Extended Kalman Filtering |
title_fullStr |
Projecting Ice-Affected Streamflow by Extended Kalman Filtering |
title_full_unstemmed |
Projecting Ice-Affected Streamflow by Extended Kalman Filtering |
title_sort |
projecting ice-affected streamflow by extended kalman filtering |
publishDate |
1997 |
url |
http://www.dtic.mil/docs/citations/ADA335228 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA335228 |
genre |
Ice permafrost |
genre_facet |
Ice permafrost |
op_source |
DTIC |
op_relation |
http://www.dtic.mil/docs/citations/ADA335228 |
op_rights |
APPROVED FOR PUBLIC RELEASE |
_version_ |
1766027538104057856 |