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Dive into the research topics where Kai Rasmus is active.

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Featured researches published by Kai Rasmus.


International Journal of Remote Sensing | 2005

Point or pointless – quality of ground data

Antti Lindfors; Kai Rasmus; Niklas Strömbeck

A method for measuring continuously the inherent optical properties of water together with the salinity and the temperature values was developed and tested at the Division of Geophysics, University of Helsinki. The flow‐through system operates from a moving boat and has been used to collect parameters for optical modelling, coastal zone and inland water studies and to track the path of the fresh water spreading into sea areas. The system was also used in Lake Vänern, Sweden, to calculate the radiance reflectance, R r, and total back‐scattering efficiency, b b eff, along a transect. An example from the Gulf of Finland is presented, which shows how the spectral behaviour of light changes when moving away from a fresh water source. Data collected from the River Kymijoki estuary showed that the details in a rapidly changing environment were strongly smoothed in a Moderate Resolution Imaging Spectroradiometer (MODIS) data image. The correlation for continuously measured scattering values and MODIS channel 1 data varied between 0.70 and 0.85, n = 126. Flow‐through measurement datasets can be used to obtain representative sites for vertical profiles or calibration measurements.


Annals of Glaciology | 2002

Physical properties of the seasonal snow cover in Dronning Maud Land, East Antarctica

Eija Kärkäs; Hardy B. Granberg; Kimmo Kanto; Kai Rasmus; Chantale Lavoie; Matti Leppäranta

Abstract Snow stratigraphy was analyzed in the Maudheimvidda area of western Dronning Maud Land, East Antarctica, during austral summer 1999/2000 as a part of the Finnish Antarctic Research Programme (FINNARP). Measurements were made in shallow (1–2m) snow pits along a 350 km transect from the coast to the polar plateau, covering at least one annual cycle and an elevation range from sea level to about 2500 m. The aim of the study is to document spatial and temporal variations in snow-cover properties, with the further aim of relating these variations to environmental factors and to patterns observable by remote sensing. The measurements suggest five principal snow zones: (i) sea ice, (ii) the seaward edge zone of the ice shelf, (iii) the inner parts of the ice shelf, (iv) the snow cover above the grounding line and (v) the local topographic highs. Local topographic highs such as ice domes and ice rises differ from other snow environments: the snow is less densely packed, possibly an indication of locally reduced speed of the katabatic outflow. Fewer and thinner crusts on the topographic highs are consistent with RADARSAT backscatter variations.


Journal of Glaciology | 2009

A thermo-hydrodynamic modelling study of an idealized low-elevation blue-ice area in Antarctica

Kai Rasmus

Low-elevation blue-ice areas in Antarctica can contain significant amounts of subsurface liquid water during summer and may experience internal melt―freeze cycles due to absorption of shortwave radiation. An existing 2-D (x-z) model has been used to study the phenomenon and this is improved by changing the lower boundary condition from a no-flux condition to one that lets heat through, and by changing the bulk optical properties to spectral values. Both changes made the model more realistic. The optical and thermal boundary conditions, together with the optical attenuation coefficient, have a large effect on the amount of water produced in the ice. Our results show that if the lower boundary condition is changed from no flux to radiating, subsurface melting is reduced dramatically. Using a spectral albedo produces less melting than using a corresponding bulk albedo, the other variables left unchanged. If optical properties are changed to spectral values, the melting is different than using bulk values. If the linear extent of the blue-ice area is 0.7 and the subsurface ponds can persist over the winter if the albedo is <0.4.


Aquatic Ecosystem Health & Management | 2010

Estimation of zooplankton abundance, distribution patterns and patchiness in a large humic lake using an Optical Plankton Counter

Minna Rahkola-Sorsa; Valentin Avinsky; Petra Can; Kai Rasmus; Greta Waissi; Markku Viljanen

Zooplankton usually behaves in complex and dynamic ways on various temporal and spatial scales and its spatial distribution is usually highly aggregated, as it possesses a large-scale spatial variability similar to that observed in the physical environment in general. We assess here the suitability of the Optical Plankton Counter for estimating zooplankton abundance, as well as the day-to-day temporal and spatial patterns in its distribution during the open water season. The influence of certain environmental variables on zooplankton abundances is also examined. Abundances of mesozooplankton-sized particles were measured with the Optical Plankton Counter monthly at five stations in a large mesohumic lake from May to September 2005 and agreed rather well with zooplankton abundances counted using a microscope. The poorest agreement was in autumn, when the Counter overestimated the zooplankton abundance, and for some samples in July, when it underestimated the abundance. Fluorescence and chlorophyll a had a significant effect on the Counter readings. Both the intercept and the slope of chlorophyll a varied randomly between depths, because the chlorophyll a decreased much more markedly in deeper waters than did the Counter particle counts. This emphasized the stratified nature of sampling. In addition to seasonal variations, there were also marked short-interval variations (day-to-day) in zooplankton abundances in all the sampling periods. These patterns are highly dynamic and can on some occasions change rapidly in response to fluctuations in the weather. There were no clear differences in zooplankton abundance between the sampling stations. The horizontal heterogeneity was less pronounced than the seasonal and short-interval heterogeneity, possibly because there were no trophic gradients in the basin. While the Optical Plankton Counter provided a rapid assessment of temporal and spatial patterns of zooplankton abundances, it does have limitations. At times it either overestimated abundances due to a large contribution from non-zooplankton particles, or underestimated abundances due to coincidence.


Continental Shelf Research | 2007

A case study of airborne and satellite remote sensing of a spring bloom event in the Gulf of Finland

Sampsa Koponen; Jenni Attila; Jouni Pulliainen; Kari Kallio; Timo Pyhälahti; Antti Lindfors; Kai Rasmus; Martti Hallikainen


Boreal Environment Research | 2010

Validation of three-dimensional hydrodynamic models of the Gulf of Finland

Kai Myrberg; Vladimir Ryabchenko; Alexei Isaev; Roman Vankevich; Oleg Andrejev; Jørgen Bendtsen; Anders Erichsen; Lennart Funkquist; Arto Inkala; Ivan Neelov; Kai Rasmus; Miguel Rodriguez Medina; Urmas Raudsepp; Jelena Passenko; Johan Söderkvist; Alexander Sokolov; Harri Kuosa; Thomas R. Anderson; Andreas Lehmann; Morten D. Skogen


17 s. | 2008

Validation of three-dimensional hydrodynamic models in the Gulf of Finland based on a statistical analysis of a six-model ensemble

Kai Myrberg; Vladimir Ryabchenko; Alexei Isaev; Roman Vankevich; Oleg Andrejev; Jørgen Bendtsen; Anders Erichsen; Lennart Funkquist; Arto Inkala; Ivan Neelov; Kai Rasmus; Miguel Rodriguez Medina; Urmas Raudsepp; Jelena Passenko; Johan Söderkvist; Alexander Sokolov; Harri Kuosa; Thomas R. Anderson; Andreas Lehmann; Morten D. Skogen


Boreal Environment Research | 2007

Validation of the SNOWPACK model in five different snow zones in Finland

Sirpa Rasmus; Tiia Grönholm; Michael Lehning; Kai Rasmus; Markku Kulmala


Hydrology Research | 2002

Optical Measurements of Sea Ice in the Gulf of Finland

Kai Rasmus; Jens K. Ehn; Mats A. Granskog; Eija Kärkäs; Matti Leppäranta; Antti Lindfors; Antti Pelkonen; Sirpa Rasmus; Anu Reinart


Archive | 2009

Temporal and spatial heterogeneity of pelagic plankton in Lake Pyhäselkä, Finland

Markku Viljanen; Anna-Liisa Holopainen; Minna Rahkola-Sorsa; Valentin Avinsky; Mari Ruuska; Sanna Leppänen; Kai Rasmus; Ari Voutilainen

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Jouni Pulliainen

Finnish Meteorological Institute

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Kai Myrberg

Finnish Institute of Marine Research

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Kari Kallio

Finnish Environment Institute

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Markku Viljanen

University of Eastern Finland

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Minna Rahkola-Sorsa

University of Eastern Finland

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Oleg Andrejev

Finnish Institute of Marine Research

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