N
Nina Håkansson
Researcher at Swedish Meteorological and Hydrological Institute
Publications - 25
Citations - 719
Nina Håkansson is an academic researcher from Swedish Meteorological and Hydrological Institute. The author has contributed to research in topics: Cloud computing & Cloud top. The author has an hindex of 10, co-authored 22 publications receiving 567 citations. Previous affiliations of Nina Håkansson include University of Skövde & Linköping University.
Papers
More filters
Journal ArticleDOI
CLARA-A2: the second edition of the CM SAF cloud and radiation data record from 34 years of global AVHRR data
Karl-Göran Karlsson,Kati Anttila,Jörg Trentmann,Martin Stengel,Jan Fokke Meirink,Abhay Devasthale,Timo Hanschmann,Steffen Kothe,Emmihenna Jääskeläinen,Joseph Sedlar,Nikos Benas,Gerd-Jan van Zadelhoff,Cornelia Schlundt,Diana Stein,Stephan Finkensieper,Nina Håkansson,Rainer Hollmann +16 more
TL;DR: The second edition of the satellite-derived climate data record CLARA (The CM-SAF Cloud, Albedo And Surface Radiation dataset from AVHRR data) is described in this article.
Journal ArticleDOI
Network analysis of cattle and pig movements in Sweden: measures relevant for disease control and risk based surveillance.
Maria Nöremark,Nina Håkansson,Nina Håkansson,Susanna Sternberg Lewerin,Ann Lindberg,Annie Jonsson +5 more
TL;DR: The ingoing infection chain could be a useful measure when setting up strategies for disease control and for risk based surveillance as it identifies holdings with many contacts through live animal movements and thus at potentially higher risk for introduction of contagious diseases.
Journal ArticleDOI
Application of network analysis parameters in risk-based surveillance - Examples based on cattle trade data and bovine infections in Sweden
TL;DR: It is concluded that network measures for the relevant time period based on updated databases of animal movements can provide a simple and straight forward tool for risk-based sampling.
Journal ArticleDOI
The shape of the spatial kernel and its implications for biological invasions in patchy environments
TL;DR: The speed of invasions depends on the spatial context and the effect of the spatial kernel is intertwined with the spatial structure, and a novel method to analyse and generate point-pattern landscapes based on spectral representation is developed.
DatasetDOI
CLARA-A2: CM SAF cLoud, Albedo and surface RAdiation dataset from AVHRR data - Edition 2
Karl-Göran Karlsson,Kati Anttila,Jörg Trentmann,Martin Stengel,Jan Fokke Meirink,Abhay Devasthale,Timo Hanschmann,Steffen Kothe,Emmihenna Jääskeläinen,Joseph Sedlar,Nikos Benas,Gerd-Jan van Zadelhoff,Cornelia Schlundt,Diana Stein,Stephan Finkensieper,Nina Håkansson,Rainer Hollmann,Petra Fuchs,Martin Werscheck +18 more
TL;DR: The CLARA-A2 record provides cloud properties, surface albedo and surface radiation parameters derived from the AVHRR sensor onboard polar orbiting NOAA and METOP satellites as discussed by the authors.