Jan Magnusson

ORCID: 0000-0003-0257-1862
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About
Contact & Profiles
Research Areas
  • Cryospheric studies and observations
  • Hydrology and Watershed Management Studies
  • Climate change and permafrost
  • European and International Law Studies
  • Landslides and related hazards
  • Carcinogens and Genotoxicity Assessment
  • Research in Social Sciences
  • Social and Educational Sciences
  • South Asian Studies and Conflicts
  • Asian Geopolitics and Ethnography
  • Indigenous Studies and Ecology
  • Marine and fisheries research
  • Southeast Asian Sociopolitical Studies
  • Arctic and Antarctic ice dynamics
  • Meteorological Phenomena and Simulations
  • Winter Sports Injuries and Performance
  • Politics and Conflicts in Afghanistan, Pakistan, and Middle East
  • China's Ethnic Minorities and Relations
  • Soil and Water Nutrient Dynamics
  • Flood Risk Assessment and Management
  • Climate variability and models
  • Environmental Toxicology and Ecotoxicology
  • Coastal and Marine Management
  • DNA Repair Mechanisms
  • Marine Biology and Ecology Research

Lund University
1998-2024

Skåne University Hospital
2024

Norwegian Institute for Water Research
1994-2022

Statkraft (Norway)
2021

Norwegian Water Resources and Energy Directorate
2016-2020

Center for Snow and Avalanche Studies
2014

Swiss Federal Institute for Forest, Snow and Landscape Research
2009-2013

Mobile Heights (Sweden)
2012

Ericsson (Sweden)
2011

Stockholm University
1979-2004

The seasonal evolution of snow cover has significant impacts on the hydrological cycle and microclimate in mountainous regions. However, processes also play a crucial role triggering alpine mass movements flooding, posing risks to people infrastructure. To mitigate these risks, many countries use operational forecast systems for distribution melt. This paper presents Swiss Operational Snow-hydrological (OSHD) model system, developed provide daily analysis forecasts dynamics throughout...

10.3389/feart.2023.1228158 article EN cc-by Frontiers in Earth Science 2023-07-25

Soils are the product of a complex suite chemical, biological, and physical processes. In spite importance soils for society sustaining life on earth, our knowledge soil formation rates influence biological activity mineral weathering geochemical cycles is still limited. this paper we provide description Damma Glacier Critical Zone Observatory present first synthesis multidisciplinary studies 150‐yr chronosequence. The aim research was to improve understanding ecosystem development barren...

10.2136/vzj2010.0129 article EN Vadose Zone Journal 2011-08-01

Abstract Much effort has been invested in developing snow models over several decades, resulting a wide variety of empirical and physically based models. For the most part, these are built on similar principles. The greatest differences found how each model parameterizes individual processes (e.g., surface albedo compaction). Parameterization choices naturally span range complexities. In this study, we evaluate performance different parameterizations for hydrological applications using an...

10.1002/2014wr016498 article EN Water Resources Research 2015-03-10

Abstract In alpine and high‐latitude regions, water resource decision making often requires large‐scale estimates of snow amounts melt rates. Such are available through distributed models which in some situations can be improved by assimilation remote sensing observations. However, regions with frequent cloud cover, complex topography, or large satellite observations may feature information limited quality. this study, we examine whether equivalent (SWE) data from ground improve model...

10.1002/2014wr015302 article EN Water Resources Research 2014-09-11

Abstract. The conventional climate gridded datasets based on observations only are widely used in atmospheric sciences; our focus this paper is and hydrology. On the Norwegian mainland, seNorge2 provides high-resolution fields of daily total precipitation for applications requiring long-term at regional or national level, where challenge to simulate small-scale processes often taking place complex terrain. dataset constitutes a valuable meteorological input snow hydrological simulations; it...

10.5194/essd-10-235-2018 article EN cc-by Earth system science data 2018-02-01

Abstract Data assimilation can help to ensure that model results remain close observations despite potential errors in the model, parameters, and inputs. In this study, we test whether of snow depth using particle filter, a generic data method, improves multilayer energy‐balance compare against direct insertion method. At field site Col de Porte France, filter reduces SWE, snowpack runoff, soil temperature when forcing with coarse resolution reanalysis data, which is typical input scenario...

10.1002/2016wr019092 article EN Water Resources Research 2016-12-29

Abstract The spatial and temporal distribution of snow accumulation is complex significantly influences the hydrological characteristics mountain catchments. Many redistribution processes, such as avalanching, slushflow or wind drift, are controlled by topography, but their modelling remains challenging. In situ measurements laborious generally have a coarse resolution. this respect, time‐lapse photography shows itself powerful tool for collecting information at relatively low cost without...

10.1002/hyp.7629 article EN Hydrological Processes 2010-03-24

Abstract. In Alpine catchments, snowmelt is often a major contribution to runoff. Therefore, modeling snow processes important when concerned with flood or drought forecasting, reservoir operation and inland waterway management. this study, we address the question of how sensitive hydrological models are representation cover dynamics whether performance model can be enhanced by integrating data from dedicated external monitoring system. As framework for our tests have used HBV (Hydrologiska...

10.5194/hess-20-3895-2016 article EN cc-by Hydrology and earth system sciences 2016-09-22

Abstract Runoff prediction in ungauged catchments has been a challenging topic over recent decades. Much research have conducted including the intensive studies of PUB (Prediction Ungauged Basins) Decade International Association for Hydrological Science. Great progress made field regionalization study hydrological models; however, there is no clear conclusion yet about applicability various methods different regions and models. This comprehensive assessment strengths limitations existing...

10.2166/nh.2017.071 article EN Hydrology Research 2017-12-05

Abstract The reliance on distributed energy‐ and mass‐balance snow models as runoff forecasting tools has been increasing. Compared to traditional, conceptual approaches, these physics‐based are robust conditions that deviate from historic norms offer improved performance in potentially dangerous rain‐on‐snow events. simulations, however, depend a large suite of accurate forcing data. Current numerical weather prediction products capable supplying the full range required data, but systematic...

10.1029/2018wr024521 article EN Water Resources Research 2018-12-15

10.1111/j.1601-5223.1969.tb01839.x article EN Hereditas 2009-09-02

Abstract Mountain water resources management often requires hydrological models that need to handle both snow and ice melt. In this study, we compared two different model types for a partly glacierized watershed in central Switzerland: (1) an energy‐balance primarily designed simulations; (2) temperature‐index developed glacier simulations. The were forced with data extrapolated from long‐term measurement records mimic the typical input situation climate change assessments. By using methods...

10.1002/hyp.7958 article EN Hydrological Processes 2011-02-01

Abstract. Fractional snow-covered area (SCA) is a key parameter in large-scale hydrological, meteorological and regional climate models. Since SCA affects albedos surface energy balance fluxes, it especially of interest over mountainous terrain where generally reduced observed large grid cells. Temporal spatial snow distributions are, however, difficult to measure complex topography. We therefore present parameterization based on new subgrid for the standard deviation depth Highly resolved...

10.5194/hess-19-1339-2015 article EN cc-by Hydrology and earth system sciences 2015-03-10

Abstract Accurate long-term inflow forecasts are essential for optimal planning of hydropower production. In snow-rich regions, where spring snowmelt is often the largest reservoir water, may be improved by assimilating snow observations to achieve more accurate initial states hydrological models prior prognosis. this study, we test whether an ensemble Kalman based approach useful purpose a mountainous catchment in Norway. For 15 years, annual near peak accumulation at three locations were...

10.2166/nh.2020.025 article EN cc-by Hydrology Research 2020-03-17
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