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Estimating genomic relationships of metafounders across and within breeds using maximum likelihood, pseudo-expectation–maximization maximum likelihood and increase of relationships.
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- Genetics Selection Evolution, 2024, v. 56, n. 1, p. 1, doi. 10.1186/s12711-024-00892-9
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Redefining and interpreting genomic relationships of metafounders.
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- Genetics Selection Evolution, 2024, v. 56, n. 1, p. 1, doi. 10.1186/s12711-024-00891-w
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- Article
Approximation of the frame coefficients using finite dimensional methods.
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- Journal of Electronic Imaging, 1997, v. 6, n. 4, p. 479, doi. 10.1117/12.276847
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Methodological framework of the PESETA project on the impacts of climate change in Europe.
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- Climatic Change, 2012, v. 112, n. 1, p. 7, doi. 10.1007/s10584-011-0337-9
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- Article
Climate Change Impact on Snow Coverage, Evaporation and River Discharge in the Sub-Arctic Tana Basin, Northern Fennoscandia.
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- Climatic Change, 2005, v. 69, n. 2/3, p. 367, doi. 10.1007/s10584-005-2533-y
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FRAMES, RIESZ BASES, AND DISCRETE GABOR/WAVELET EXPANSIONS.
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- Bulletin (New Series) of the American Mathematical Society, 2001, v. 38, n. 3, p. 273, doi. 10.1090/S0273-0979-01-00903-X
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Oceanographic regional climate projections for the Baltic Sea until 2100.
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- Earth System Dynamics Discussions, 2021, p. 1, doi. 10.5194/esd-2021-68
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Atmospheric regional climate projections for the Baltic Sea Region until 2100.
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- Earth System Dynamics Discussions, 2021, p. 1, doi. 10.5194/esd-2021-51
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Climate Change in the Baltic Sea Region: A Summary.
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- Earth System Dynamics Discussions, 2021, p. 1, doi. 10.5194/esd-2021-67
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European climate change at global mean temperature increases of 1.5 and 2°C above pre-industrial conditions as simulated by the EURO-CORDEX regional climate models.
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- Earth System Dynamics Discussions, 2017, p. 1, doi. 10.5194/esd-2017-104
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Climate change in the Baltic Sea region: a summary.
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- Earth System Dynamics, 2022, v. 13, n. 1, p. 457, doi. 10.5194/esd-13-457-2022
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Atmospheric regional climate projections for the Baltic Sea region until 2100.
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- Earth System Dynamics, 2022, v. 13, n. 1, p. 133, doi. 10.5194/esd-13-133-2022
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- Article
Oceanographic regional climate projections for the Baltic Sea until 2100.
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- Earth System Dynamics, 2022, v. 13, n. 1, p. 159, doi. 10.5194/esd-13-159-2022
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- Publication type:
- Article
European climate change at global mean temperature increases of 1.5 and 2 °C above pre-industrial conditions as simulated by the EURO-CORDEX regional climate models.
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- Earth System Dynamics, 2018, v. 9, n. 2, p. 459, doi. 10.5194/esd-9-459-2018
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Can high-resolution GCMs reach the level of information provided by 12-50 km CORDEX RCMs in terms of daily precipitation distribution?
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- Geoscientific Model Development Discussions, 2020, p. 1, doi. 10.5194/gmd-2019-370
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Spatial and temporal characteristics of extreme rainfall: Added benefits with sub‐kilometre‐resolution climate model simulations?
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- Quarterly Journal of the Royal Meteorological Society, 2023, v. 149, n. 754, p. 1913, doi. 10.1002/qj.4488
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The MATS satellite mission – gravity wave studies by Mesospheric Airglow/Aerosol Tomography and Spectroscopy.
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- Atmospheric Chemistry & Physics, 2020, v. 20, n. 1, p. 431, doi. 10.5194/acp-20-431-2020
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Common volume satellite studies of polar mesospheric clouds with Odin/OSIRIS tomography and AIM/CIPS nadir imaging.
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- Atmospheric Chemistry & Physics, 2019, v. 19, n. 19, p. 12455, doi. 10.5194/acp-19-12455-2019
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The SPARC water vapor assessment II: intercomparison of satellite and ground-based microwave measurements.
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- Atmospheric Chemistry & Physics, 2017, v. 17, n. 23, p. 14543, doi. 10.5194/acp-17-14543-2017
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Comparison of retrieved noctilucent cloud particle properties from Odin tomography scans and model simulations.
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- Atmospheric Chemistry & Physics, 2016, v. 16, n. 23, p. 15135, doi. 10.5194/acp-16-15135-2016
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The relationship between polar mesospheric clouds and their background atmosphere as observed by Odin-SMR and Odin-OSIRIS.
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- Atmospheric Chemistry & Physics, 2016, v. 16, n. 19, p. 12587, doi. 10.5194/acp-16-12587-2016
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Climate change information over Fenno-Scandinavia produced with a convection-permitting climate model.
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- Climate Dynamics, 2023, v. 61, n. 1/2, p. 519, doi. 10.1007/s00382-022-06589-3
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Filling the matrix: an ANOVA-based method to emulate regional climate model simulations for equally-weighted properties of ensembles of opportunity.
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- Climate Dynamics, 2022, v. 58, n. 9/10, p. 2371, doi. 10.1007/s00382-021-06010-5
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Differences in representation of extreme precipitation events in two high resolution models.
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- Climate Dynamics, 2021, v. 57, n. 11/12, p. 3029, doi. 10.1007/s00382-021-05854-1
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The first multi-model ensemble of regional climate simulations at kilometer-scale resolution, part I: evaluation of precipitation.
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- Climate Dynamics, 2021, v. 57, n. 1/2, p. 275, doi. 10.1007/s00382-021-05708-w
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The first multi-model ensemble of regional climate simulations at kilometer-scale resolution part 2: historical and future simulations of precipitation.
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- Climate Dynamics, 2021, v. 56, n. 11/12, p. 3581, doi. 10.1007/s00382-021-05657-4
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Benefits and added value of convection-permitting climate modeling over Fenno-Scandinavia.
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- Climate Dynamics, 2020, v. 55, n. 7/8, p. 1893, doi. 10.1007/s00382-020-05359-3
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Partitioning uncertainty components of mean climate and climate change in a large ensemble of European regional climate model projections.
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- Climate Dynamics, 2020, v. 54, n. 9/10, p. 4293, doi. 10.1007/s00382-020-05229-y
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Robustness of European climate projections from dynamical downscaling.
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- Climate Dynamics, 2019, v. 53, n. 7/8, p. 4857, doi. 10.1007/s00382-019-04831-z
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Selection for social genetic effects in purebred pigs improves behaviour and handling of their crossbred progeny.
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- Genetics Selection Evolution, 2023, v. 55, n. 1, p. 1, doi. 10.1186/s12711-023-00828-9
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Metabolomic-genomic prediction can improve prediction accuracy of breeding values for malting quality traits in barley.
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- Genetics Selection Evolution, 2023, v. 55, n. 1, p. 1, doi. 10.1186/s12711-023-00835-w
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Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds.
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- Genetics Selection Evolution, 2023, v. 55, n. 1, p. 1, doi. 10.1186/s12711-023-00810-5
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Genomic evaluation for two-way crossbred performance in cattle.
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- Genetics Selection Evolution, 2023, v. 55, n. 1, p. 1, doi. 10.1186/s12711-023-00792-4
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Predictive performances of animal models using different multibreed relationship matrices in systems with rotational crossbreeding.
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- Genetics Selection Evolution, 2022, v. 54, n. 1, p. 1, doi. 10.1186/s12711-022-00714-w
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Spatial probability modelling of eelgrass (Zostera marina) distribution on the west coast of Norway.
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- ICES Journal of Marine Science / Journal du Conseil, 2008, v. 65, n. 7, p. 1093, doi. 10.1093/icesjms/fsn095
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The land planarian Australoplana sanguinea var. alba at a horticultural site in New Zealand.
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- Annals of Applied Biology, 1996, v. 129, n. 1, p. 171, doi. 10.1111/j.1744-7348.1996.tb05741.x
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Surface movement rates of the New Zealand flatworm Artioposthia triangulata: potential for spread by active migration.
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- Annals of Applied Biology, 1995, v. 126, n. 3, p. 563, doi. 10.1111/j.1744-7348.1995.tb05390.x
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The impact of genotyping strategies and statistical models on accuracy of genomic prediction for survival in pigs.
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- Journal of Animal Science & Biotechnology, 2023, v. 14, n. 1, p. 1, doi. 10.1186/s40104-022-00800-5
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Correlations of geological and biological elements in marine habitat mapping in glaciated areas; field tests from the coast of Møre and Romsdal County, western Norway.
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- Norwegian Journal of Geology / Norsk Geologisk Forening, 2009, v. 89, n. 3, p. 229
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Retrieval of daytime mesospheric ozone using OSIRIS observation of O<sub>2</sub> (a¹Δ<sub>g</sub>) emission.
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- Atmospheric Measurement Techniques Discussions, 2020, p. 1, doi. 10.5194/amt-2020-56
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Scale separation for gravity wave analysis from 3D temperature observations in the mesosphere and lower thermosphere (MLT) region.
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- Atmospheric Measurement Techniques, 2024, v. 17, n. 12, p. 3829, doi. 10.5194/amt-17-3829-2024
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CHARACTERISATIONS OF PARTITION OF UNITIES GENERATED BY ENTIRE FUNCTIONS IN $\mathbb{C}^{d}$.
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- Bulletin of the Australian Mathematical Society, 2017, v. 95, n. 2, p. 281, doi. 10.1017/S0004972716001052
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DIRECTIONAL TIME–FREQUENCY ANALYSIS VIA CONTINUOUS FRAMES.
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- Bulletin of the Australian Mathematical Society, 2015, v. 92, n. 2, p. 268, doi. 10.1017/S0004972715000337
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Characterizing R-duality in Banach spaces.
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- Acta Mathematica Sinica, 2013, v. 29, n. 1, p. 75, doi. 10.1007/s10114-012-1199-4
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SORPTION OF LINEAR ALKYLBENZENE SULFONATE TO SOIL COMPONENTS AND EFFECTS ON MICROBIAL IRON REDUCTION.
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- Environmental Toxicology & Chemistry, 2003, v. 22, n. 6, p. 1221, doi. 10.1002/etc.5620220606
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Tetanus and Atelectasis of the Lung Due to Aspiration of Garden Soil in a Boy of 17 Months.
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- Acta Paediatrica, 1950, v. 39, n. 1, p. 170, doi. 10.1111/j.1651-2227.1950.tb08517.x
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Identifying robust bias adjustment methods for extreme precipitation in a pseudo-reality setting.
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- Hydrology & Earth System Sciences Discussions, 2020, p. 1, doi. 10.5194/hess-2020-318
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Regularity of Dual Gabor Windows.
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- Abstract & Applied Analysis, 2013, p. 1, doi. 10.1155/2013/747268
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On the need for bias correction of regional climate change projections of temperature and precipitation.
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- Geophysical Research Letters, 2008, v. 35, n. 20, p. n/a, doi. 10.1029/2008GL035694
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Pseudo-likelihood for Non-reversible Nucleotide Substitution Models with Neighbour Dependent Rates.
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- Statistical Applications in Genetics & Molecular Biology, 2006, v. 5, n. 1, p. 1, doi. 10.2202/1544-6115.1217
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