Forecasting daily total pollen concentrations on a global scale.
László MakraLuca CovielloAndrea GobbiGiuseppe JurmanCesare FurlanelloMauro BrunatoLewis H ZiskaJeremy J HessAthanasios DamialisMaria Pilar Plaza GarciaGábor TusnádyLilit CzibolyaIstván IhászÁron József DeákEdit MikóZita DornerSusan K HarryNicolas BruffaertsAnn PackeuAnnika SaartoLinnea ToiviainenMaria Louna-KorteniemiSanna PätsiMichel ThibaudonGilles OliverAthanasios CharalampopoulosDespoina VokouEwa Maria Przedpelska-WasowiczEllý Renée GuðjohnsenMaira BoniniSevcan CelenkCumali OzaslanJae-Won OhKrista SullivanLinda FordMichelle KellyEstelle LevetinDorota MyszkowskaElena E SeverovaRegula GehrigMaría Del Carmen Calderón-EzquerroCésar Guerrero GuerraManuel Andres Leiva-GuzmánGermán Darío RamónLaura Beatriz BarrionuevoJonathan Grant PeterDilys BermanConnie H KatelarisJanet Mary DaviesPamela BurtonPaul J BeggsSandra María VergaminiRosa María Valencia-BarreraClaudia Traidl-HoffmanPublished in: Allergy (2024)
This new knowledge of the ecological relationships of the most remarkable variables importance for pollen forecast models according to clusters, cities and forecast days is important for developing and improving the accuracy of airborne pollen forecasts.