Per Pemberton

ORCID: 0000-0003-3107-5200
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About
Contact & Profiles
Research Areas
  • Arctic and Antarctic ice dynamics
  • Oceanographic and Atmospheric Processes
  • Methane Hydrates and Related Phenomena
  • Geological Studies and Exploration
  • Climate change and permafrost
  • Marine and coastal ecosystems
  • Cryospheric studies and observations
  • Atmospheric and Environmental Gas Dynamics
  • Climate variability and models
  • Geophysics and Gravity Measurements
  • Geological formations and processes
  • Arctic and Russian Policy Studies
  • Maritime Transport Emissions and Efficiency
  • Scientific Research and Discoveries
  • Geological Formations and Processes Exploration
  • Global Energy and Sustainability Research
  • Reservoir Engineering and Simulation Methods

Swedish Meteorological and Hydrological Institute
2010-2025

Stockholm University
2012-2015

Uganda National Meteorological Authority
2014

National Institute of Meteorology
2014

Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
2010

Chalmers University of Technology
2010

Gamma Remote Sensing (Switzerland)
2010

Abstract. We present Nemo-Nordic, a Baltic and North Sea model based on the NEMO ocean engine. Surrounded by highly industrialized countries, seas their assets associated with shipping, fishing tourism are vulnerable to anthropogenic pressure climate change. Ocean models providing reliable forecasts enabling climatic studies important tools for shipping infrastructure get better understanding of effects change marine ecosystems. Nemo-Nordic is intended be tool both short-term long-term...

10.5194/gmd-12-363-2019 article EN cc-by Geoscientific model development 2019-01-21

The Arctic freshwater (FW) has been the focus of many modeling studies, due to potential impact FW on deep water formation in North Atlantic. A comparison hindcasts from ten ocean‐sea ice models shows that simulation budget is quite different investigated models. While they agree general sink and source terms budget, long‐term means as well variability export vary among best model‐to‐model agreement found for interannual seasonal solid storage, which also with observations. For liquid...

10.1029/2012jc007907 article EN Journal of Geophysical Research Atmospheres 2012-06-27

Abstract. The Baltic Sea is a seasonally ice-covered marginal sea in northern Europe with intense wintertime ship traffic and sensitive ecosystem. Understanding modeling the evolution of sea-ice pack important for climate effect studies forecasting purposes. Here we present evaluate component new NEMO–LIM3.6-based ocean–sea-ice setup North region (NEMO-Nordic). includes depth-based fast-ice parametrization Sea. evaluation focuses on long-term statistics, from 45-year long hindcast, although...

10.5194/gmd-10-3105-2017 article EN cc-by Geoscientific model development 2017-08-22

AbstractIn this study, synthetic aperture radar (SAR) data from the Advanced Land Observing Satellite (ALOS) and Envisat, RADARSAT-2, TerraSAR-X satellites were compared to evaluate their usefulness for sea-ice monitoring in Baltic Sea. Radar signature characteristics at different frequencies, polarizations, spatial resolutions are presented three examples 2009. C-band like-polarization data, which have been used operational mapping since early 1990s, serve as a reference. Advantages...

10.5589/m10-020 article FR Canadian Journal of Remote Sensing 2010-01-01

In this study, a multicategory sea ice model with explicit classes for ridged and rafted was used to examine the evolution of deformed during period 1980–2002. The results show that (1) comprises roughly 45–60% Arctic volume 25–45% area, (2) most perennial consists ice, (3) exhibits small seasonal variability. Our also an increase in mean thickness 4–6 cm yr −1 summer area north Canadian Archipelago corresponding decrease East Siberian Sea Nansen Basin. At same time, age has been observed...

10.1029/2010jc006936 article EN Journal of Geophysical Research Atmospheres 2012-02-28

Abstract Simulations from a coupled ice‐ocean general circulation model are used to assess the effects on Arctic Ocean freshwater storage of changes in input through river runoff and precipitation. We employ climate response function framework examine responses content abrupt input. To lowest order, ocean is linear, with an adjustment time scale approximately 10 years, indicating that anomalies export proportional content. However, details transient depend source An increase results fairly...

10.1029/2018jc014923 article EN Journal of Geophysical Research Oceans 2019-06-21

Abstract The implications of bottom intensified mixing together with an insulating boundary condition at the ocean floor for overturning has been investigated recently by many authors in different settings. Here we apply similar ideas to a brackish coastal sea, Eastern Gotland Basin Baltic Sea. deep basin is estimated using high resolution temperature, salinity and bathymetry data number assumed vertical buoyancy flux diffusivity profiles. structure is, ways, found be that inferred global...

10.1175/jpo-d-24-0120.1 article EN Journal of Physical Oceanography 2025-03-13

The sensitivity of Baltic Sea salinities to changed fresh water forcing and other factors have been debated during the last decades, since would large impacts on marine ecosystems, this parameter still shows a high degree uncertainty in regional climate projections. In study we perform where at outer boundaries North are perturbed systematic way order obtain second-order Taylor polynomial statistical steady state mean salinity. is constructed based perturbations 57-year long hindcast runs...

10.5194/egusphere-egu25-10773 preprint EN 2025-03-14

Abstract Using a state‐of‐the‐art coupled ice‐ocean‐circulation model, we perform number of sensitivity experiments to examine how the central Arctic Ocean stratification responds changes in river runoff and precipitation. The simulations yield marked cold halocline Atlantic layer. Increased precipitation yields warming layer, which primarily is an advective signal, propagated through St. Anna Trough, reflecting air‐sea heat flux over Barents Sea. As freshwater supply increased, anticyclonic...

10.1002/2015jc011003 article EN Journal of Geophysical Research Oceans 2015-12-13

Abstract In this paper, water mass transformations in the Arctic Ocean are studied using a recently developed salinity–temperature ( S – T ) framework. The framework allows to be succinctly quantified by computing surface and internal diffusive fluxes coordinates. This study shows how method can applied specific oceanic region, case Ocean, including advective exchange of masses across boundaries region. Based on simulation with global ocean circulation model, authors examine importance...

10.1175/jpo-d-14-0197.1 article EN Journal of Physical Oceanography 2015-01-29

Abstract The Arctic Ocean receives a net freshwater input from land and the atmosphere. This flux of freshwater, along with surface heat loss, acts to transform water mass properties inflowing Atlantic Pacific waters. In this study, model simulations are used quantify transformation in salinity temperature space, its explained variance due variability largest source Arctic: river runoff. is quantified using novel tool, seasonal climate response function, which describes magnitude time scale...

10.1029/2017jc013704 article EN cc-by-nc-nd Journal of Geophysical Research Oceans 2018-12-21

Freshwater (FW) induced transformations in the upper Arctic Ocean were studied using a coupled regional sea ice-ocean model driven by winds and thermodynamic forcing from reanalysis of data during period 1948–2011, focusing on mean state 1968–2011. Using passive tracers to mark number FW sources sinks, their composition, pathways export examined. The distribution simulated height reproduced known features volume-integrated content matched climatological estimates reasonably well. Input...

10.3402/tellusa.v66.23988 article EN cc-by Tellus A Dynamic Meteorology and Oceanography 2014-07-16

Abstract The Laptev Sea is generally a sink for atmospheric carbon dioxide and source of methane to the atmosphere. We investigate how sensitive net sea‐air exchange in are observed changes inflow Atlantic water into Arctic Ocean conditions occurring after 1990. Using time‐dependent coupled physical‐biogeochemical column model, both physical biogeochemical effects investigated series sensitivity experiments. forcing functions kept constant at 40 year climatological values except successively...

10.1002/2015jg003307 article EN cc-by-nc-nd Journal of Geophysical Research Biogeosciences 2016-06-24

Abstract. We present Nemo-Nordic, a Baltic & North Sea model based on the NEMO ocean engine. Surrounded by highly industrialised countries, and seas, their assets associated with shipping, fishing tourism; are vulnerable to anthropogenic pressure climate change. Ocean models providing reliable forecasts, enabling climatic studies, important tools for shipping infrastructure get better understanding of effects change marine ecosystems. Nemo-Nordic is intended come as tool both short...

10.5194/gmd-2018-2 preprint EN cc-by 2018-04-05

Abstract. The Baltic Sea is a seasonally ice covered marginal sea in northern Europe with intense wintertime ship traffic and sensitive ecosystem. Understanding modeling the evolution of sea-ice pack important for climate effect studies forecasting purposes. Here we present evaluate component new NEMO–LIM3.6 based ocean–sea setup North region. includes depth-based fast parametrization Sea. evaluation focuses on long-term statistics, from 45-year long hindcast, although short-term daily...

10.5194/gmd-2017-10 preprint EN cc-by 2017-02-20

The Baltic Sea is a semi-enclosed brackish marginal sea in Northern Europe. It sensitive system where increased anthropogenic pressure has led to poor ecological status, with resulting hypoxia and algal blooms. circulation, hydrography stratification are strongly constrained by the bathymetric features of region net freshwater input. shallow entrance limits inflow oceanic water from North Sea, while input drives an estuarine-like circulation that leads outflow-dominated exchange....

10.5194/egusphere-egu24-7822 preprint EN 2024-03-08
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