Adaptation of the Integrated Nitrogen Model for Catchments (INCA) to seasonally snow-covered catchments

Testing of the Integrated Nitrogen model for Catchments (INCA) in a wide range of ecosystem types across Europe has shown that the model underestimates N transformation processes to a large extent in northern catchments of Finland and Norway in winter and spring. It is found, and generally assumed,...

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Main Authors: Rankinen, K., Kaste, O., Butterfield, D.
Format: Article in Journal/Newspaper
Language:unknown
Published: Copernicus 2004
Subjects:
Online Access:https://centaur.reading.ac.uk/4053/
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spelling ftunivreading:oai:centaur.reading.ac.uk:4053 2024-06-23T07:55:31+00:00 Adaptation of the Integrated Nitrogen Model for Catchments (INCA) to seasonally snow-covered catchments Rankinen, K. Kaste, O. Butterfield, D. 2004 https://centaur.reading.ac.uk/4053/ unknown Copernicus Rankinen, K., Kaste, O. and Butterfield, D. (2004) Adaptation of the Integrated Nitrogen Model for Catchments (INCA) to seasonally snow-covered catchments. Hydrology and Earth System Sciences, 8 (4). pp. 695-705. ISSN 1027-5606 Article NonPeerReviewed 2004 ftunivreading 2024-06-11T14:41:45Z Testing of the Integrated Nitrogen model for Catchments (INCA) in a wide range of ecosystem types across Europe has shown that the model underestimates N transformation processes to a large extent in northern catchments of Finland and Norway in winter and spring. It is found, and generally assumed, that microbial activity in soils proceeds at low rates at northern latitudes during winter, even at sub-zero temperatures. The INCA model was modified to improve the simulation of N transformation rates in northern catchments, characterised by cold climates and extensive snow accumulation and insulation in winter, by introducing an empirical function to simulate soil temperatures below the seasonal snow pack, and a degree-day model to calculate the depth of the snow pack. The proposed snow-correction factor improved the simulation of soil temperatures at Finnish and Norwegian field sites in winter, although soil temperature was still underestimated during periods with a thin snow cover. Finally, a comparison between the modified INCA version (v. 1.7) and the former version (v. 1.6) was made at the Simojoki river basin in northern Finland and at Dalelva Brook in northern Norway. The new modules did not imply any significant changes in simulated NO3- concentration levels in the streams but improved the timing of simulated higher concentrations. The inclusion of a modified temperature response function and an empirical snow-correction factor improved the flexibility and applicability of the model for climate effect studies. Article in Journal/Newspaper Northern Finland Northern Norway CentAUR: Central Archive at the University of Reading Inca ENVELOPE(-59.194,-59.194,-62.308,-62.308) Norway Simojoki ENVELOPE(25.050,25.050,65.617,65.617)
institution Open Polar
collection CentAUR: Central Archive at the University of Reading
op_collection_id ftunivreading
language unknown
description Testing of the Integrated Nitrogen model for Catchments (INCA) in a wide range of ecosystem types across Europe has shown that the model underestimates N transformation processes to a large extent in northern catchments of Finland and Norway in winter and spring. It is found, and generally assumed, that microbial activity in soils proceeds at low rates at northern latitudes during winter, even at sub-zero temperatures. The INCA model was modified to improve the simulation of N transformation rates in northern catchments, characterised by cold climates and extensive snow accumulation and insulation in winter, by introducing an empirical function to simulate soil temperatures below the seasonal snow pack, and a degree-day model to calculate the depth of the snow pack. The proposed snow-correction factor improved the simulation of soil temperatures at Finnish and Norwegian field sites in winter, although soil temperature was still underestimated during periods with a thin snow cover. Finally, a comparison between the modified INCA version (v. 1.7) and the former version (v. 1.6) was made at the Simojoki river basin in northern Finland and at Dalelva Brook in northern Norway. The new modules did not imply any significant changes in simulated NO3- concentration levels in the streams but improved the timing of simulated higher concentrations. The inclusion of a modified temperature response function and an empirical snow-correction factor improved the flexibility and applicability of the model for climate effect studies.
format Article in Journal/Newspaper
author Rankinen, K.
Kaste, O.
Butterfield, D.
spellingShingle Rankinen, K.
Kaste, O.
Butterfield, D.
Adaptation of the Integrated Nitrogen Model for Catchments (INCA) to seasonally snow-covered catchments
author_facet Rankinen, K.
Kaste, O.
Butterfield, D.
author_sort Rankinen, K.
title Adaptation of the Integrated Nitrogen Model for Catchments (INCA) to seasonally snow-covered catchments
title_short Adaptation of the Integrated Nitrogen Model for Catchments (INCA) to seasonally snow-covered catchments
title_full Adaptation of the Integrated Nitrogen Model for Catchments (INCA) to seasonally snow-covered catchments
title_fullStr Adaptation of the Integrated Nitrogen Model for Catchments (INCA) to seasonally snow-covered catchments
title_full_unstemmed Adaptation of the Integrated Nitrogen Model for Catchments (INCA) to seasonally snow-covered catchments
title_sort adaptation of the integrated nitrogen model for catchments (inca) to seasonally snow-covered catchments
publisher Copernicus
publishDate 2004
url https://centaur.reading.ac.uk/4053/
long_lat ENVELOPE(-59.194,-59.194,-62.308,-62.308)
ENVELOPE(25.050,25.050,65.617,65.617)
geographic Inca
Norway
Simojoki
geographic_facet Inca
Norway
Simojoki
genre Northern Finland
Northern Norway
genre_facet Northern Finland
Northern Norway
op_relation Rankinen, K., Kaste, O. and Butterfield, D. (2004) Adaptation of the Integrated Nitrogen Model for Catchments (INCA) to seasonally snow-covered catchments. Hydrology and Earth System Sciences, 8 (4). pp. 695-705. ISSN 1027-5606
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