0000000000520422

AUTHOR

Anna-mari Pessi

showing 3 related works from this author

Alder pollen in Finland ripens after a short exposure to warm days in early spring, showing biennial variation in the onset of pollen ripening

2017

Abstract We developed a temperature sum model to predict the daily pollen release of alder, based on pollen data collected with pollen traps at seven locations in Finland over the years 2000–2014. We estimated the model parameters by minimizing the sum of squared errors (SSE) of the model, with weights that put more weight on binary recognition of daily presence or absence of pollen. The model results suggest that alder pollen ripens after a couple of warm days in February, while the whole pollen release period typically takes up to 4 weeks. We tested the model residuals against air humidity, precipitation and wind speed, but adding these meteorological features did not improve the model pr…

0106 biological sciencesAtmospheric Science010504 meteorology & atmospheric sciencesta1171Atmospheric sciencesmedicine.disease_causeAlnus01 natural sciencesAlderPollenotorhinolaryngologic diseasesmedicineMonte Carlo resamplingPrecipitationsiitepöly0105 earth and related environmental sciencespollen seasonGlobal and Planetary Changefloweringbiologyta114kukintaAnomaly (natural sciences)ta1183food and beveragesHumidityForestryRipeningennusteetmodelingalderbiology.organism_classificationta4112leppäMonte Carlo -menetelmätAlder pollenClimatologyta1181Short exposureAgronomy and Crop Science010606 plant biology & botanyAgricultural and Forest Meteorology
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MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe

2015

Abstract. This paper presents the first ensemble modelling experiment in relation to birch pollen in Europe. The seven-model European ensemble of MACC-ENS, tested in trial simulations over the flowering season of 2010, was run through the flowering season of 2013. The simulations have been compared with observations in 11 countries, all members of the European Aeroallergen Network, for both individual models and the ensemble mean and median. It is shown that the models successfully reproduced the timing of the very late season of 2013, generally within a couple of days from the observed start of the season. The end of the season was generally predicted later than observed, by 5 days or more…

Atmospheric Sciencemedicine.medical_specialty010504 meteorology & atmospheric sciencesUrban Mobility & EnvironmentClimateAerobiologyUrbanisation010501 environmental sciencesmedicine.disease_cause01 natural sciencesAerobiologyFloweringlcsh:ChemistryPollenddc:550medicineStatistical dispersionAerosol0105 earth and related environmental sciencesEnsemble forecastingEnsemble averageModelingEnsemble forecastingCAS - Climate Air and SustainabilityMiljövetenskaplcsh:QC1-999EuropeBirch pollenlcsh:QD1-999HabitatClimatology[SDE]Environmental SciencesPollenLate seasonEnvironmental scienceELSS - Earth Life and Social SciencesEnvironment & Sustainabilitylcsh:PhysicsEnvironmental Sciences
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Alder pollen in Finland ripens after a short exposure to warm days in early spring, showing biennial variation in the onset of pollen ripening

2017

We developed a temperature sum model to predict the daily pollen release of alder, based on pollen data collected with pollen traps at seven locations in Finland over the years 2000–2014. We estimated the model parameters by minimizing the sum of squared errors (SSE) of the model, with weights that put more weight on binary recognition of daily presence or absence of pollen. The model results suggest that alder pollen ripens after a couple of warm days in February, while the whole pollen release period typically takes up to 4 weeks. We tested the model residuals against air humidity, precipitation and wind speed, but adding these meteorological features did not improve the model prediction …

pollen seasonMonte Carlo -menetelmätlepätkukintaotorhinolaryngologic diseasesfood and beveragesmodelingMonte Carlo resamplingennusteetAlnusleppäsiitepöly
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