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Issue
1 February - Volume 35, Issue 1, Pages 1 - 79
1 April - Volume 35, Issue 2, Pages 81 - 174
1 June - Volume 35, Issue 3, Pages 175 - 278
1 August - Volume 35, Issue 4-5, Pages 279 - 391
Volume 35, Issue 4-5
1 August 2004
ISSN 0029-1277
EISSN 2224-7955
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In this Issue
Research Articles
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Research Articles
Special Nordic Hydrology issue – Northern Research Basins
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Historical trends in river-ice break-up: a review
Terry D. Prowse
;
Barrie R. Bonsal
Abstract
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Modeling arctic snow distribution and melt at the 1 km grid scale*
Ming-ko Woo
;
Kathy L. Young
Abstract
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Evaluating snowmelt runoff generation in a discontinuous permafrost catchment using stable isotope, hydrochemical and hydrometric data
S.K. Carey
;
W.L. Quinton
Abstract
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The role of winter sublimation in the Arctic moisture budget
G.E. Liston
;
M. Sturm
Abstract
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Variation of runoff and nitrogen leaching in a small agricultural catchment in southern Finland
Kirsti Granlund
Abstract
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Modelling of seasonal effects of soil processes on N leaching in northern latitudes
K. Rankinen
;
K. Granlund
;
I. Bärlund
Abstract
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Year-to-year variability of solute flux in meltwaters draining from a highly-glacierised basin
David N. Collins
;
Oliver G. MacDonald
Abstract
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Hydrology, geochemistry and Sr isotopes in solids and solutes of the meltwater from Mittivakkat Gletscher, SE Greenland
Birgit Hagedorn
;
Bent Hasholt
Abstract
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Mass balance observations at Mittivakkat Gletscher, Southeast Greenland 1995–2002
Niels Tvis Knudsen
;
Bent Hasholt
Abstract
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Letter to the Editor
Cintia Uvo
;
Ronny Berndtsson
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Uncertainty of annual runoff projections in Lithuanian rivers under a future climate
Accuracy evaluation of GPM multi-satellite precipitation products in the hydrological application over alpine and gorge regions with sparse rain gauge network
Response of melt water and rainfall runoff to climate change and their roles in controlling streamflow changes of the two upstream basins over the Tibetan Plateau
The viability of co-active fuzzy inference system model for monthly reference evapotranspiration estimation: case study of Uttarakhand State
Machine learning models for the estimation of monthly mean daily reference evapotranspiration based on cross-station and synthetic data
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