Finsterwalderbreen hydrological model
Flow-recession analysis and linear- reservoir simulation of runoff time series are used to evaluate seasonal and inter-annual variability in the drainage system of the glacier Finsterwalderbreen, Svalbard Arctic archipelago, in 1999 and 2000, with particular reference to the inferred structure of su...
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2020
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Online Access: | https://doi.org/10.17028/rd.lboro.12919274.v1 https://figshare.com/articles/model/Finsterwalderbreen_hydrological_model/12919274 |
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ftloughboroughun:oai:figshare.com:article/12919274 2023-05-15T14:28:42+02:00 Finsterwalderbreen hydrological model Richard Hodgkins Richard J. Cooper Martyn Tranter Jemma Wadham 2020-09-10T12:41:31Z https://doi.org/10.17028/rd.lboro.12919274.v1 https://figshare.com/articles/model/Finsterwalderbreen_hydrological_model/12919274 unknown doi:10.17028/rd.lboro.12919274.v1 https://figshare.com/articles/model/Finsterwalderbreen_hydrological_model/12919274 CC BY-NC 4.0 CC-BY-NC Hydrology Physical Geography Glaciology Flow recession Linear reservoir modelling model simulation Arctic Svalbard dataset Model 2020 ftloughboroughun https://doi.org/10.17028/rd.lboro.12919274.v1 2022-01-01T19:18:20Z Flow-recession analysis and linear- reservoir simulation of runoff time series are used to evaluate seasonal and inter-annual variability in the drainage system of the glacier Finsterwalderbreen, Svalbard Arctic archipelago, in 1999 and 2000, with particular reference to the inferred structure of subglacial flow pathways. Original publication data are included and also an introductory, Microsoft Excel-based tutorial on the methods used. Dataset Arctic Archipelago Arctic glacier Svalbard Loughborough University: Figshare Arctic Finsterwalderbreen ENVELOPE(15.273,15.273,77.489,77.489) Svalbard |
institution |
Open Polar |
collection |
Loughborough University: Figshare |
op_collection_id |
ftloughboroughun |
language |
unknown |
topic |
Hydrology Physical Geography Glaciology Flow recession Linear reservoir modelling model simulation Arctic Svalbard |
spellingShingle |
Hydrology Physical Geography Glaciology Flow recession Linear reservoir modelling model simulation Arctic Svalbard Richard Hodgkins Richard J. Cooper Martyn Tranter Jemma Wadham Finsterwalderbreen hydrological model |
topic_facet |
Hydrology Physical Geography Glaciology Flow recession Linear reservoir modelling model simulation Arctic Svalbard |
description |
Flow-recession analysis and linear- reservoir simulation of runoff time series are used to evaluate seasonal and inter-annual variability in the drainage system of the glacier Finsterwalderbreen, Svalbard Arctic archipelago, in 1999 and 2000, with particular reference to the inferred structure of subglacial flow pathways. Original publication data are included and also an introductory, Microsoft Excel-based tutorial on the methods used. |
format |
Dataset |
author |
Richard Hodgkins Richard J. Cooper Martyn Tranter Jemma Wadham |
author_facet |
Richard Hodgkins Richard J. Cooper Martyn Tranter Jemma Wadham |
author_sort |
Richard Hodgkins |
title |
Finsterwalderbreen hydrological model |
title_short |
Finsterwalderbreen hydrological model |
title_full |
Finsterwalderbreen hydrological model |
title_fullStr |
Finsterwalderbreen hydrological model |
title_full_unstemmed |
Finsterwalderbreen hydrological model |
title_sort |
finsterwalderbreen hydrological model |
publishDate |
2020 |
url |
https://doi.org/10.17028/rd.lboro.12919274.v1 https://figshare.com/articles/model/Finsterwalderbreen_hydrological_model/12919274 |
long_lat |
ENVELOPE(15.273,15.273,77.489,77.489) |
geographic |
Arctic Finsterwalderbreen Svalbard |
geographic_facet |
Arctic Finsterwalderbreen Svalbard |
genre |
Arctic Archipelago Arctic glacier Svalbard |
genre_facet |
Arctic Archipelago Arctic glacier Svalbard |
op_relation |
doi:10.17028/rd.lboro.12919274.v1 https://figshare.com/articles/model/Finsterwalderbreen_hydrological_model/12919274 |
op_rights |
CC BY-NC 4.0 |
op_rightsnorm |
CC-BY-NC |
op_doi |
https://doi.org/10.17028/rd.lboro.12919274.v1 |
_version_ |
1766302863198257152 |