Seasonal Hydrodynamic Forecasts Using the INM-CM5 Model for Estimating the Beginning of Birch Pollen Dispersion

Experimental seasonal forecasts using the INM-CM5 climate model have been applied as the input data for the temperature–time phenological model of birch pollination. A test method has been developed within the framework of the joint model for the seasonal forecasting of the time of the beginning of...

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Bibliographic Details
Published in:Izvestiya. Atmospheric and oceanic physics 2023-08, Vol.59 (4), p.351-359
Main Authors: Emelina, S. V., Khan, V. M., Semenov, V. A., Vorobyeva, V. V., Tarasevich, M. A., Volodin, E. M.
Format: Article
Language:English
Subjects:
Climate models
Climatology
Coefficients
Correlation coefficient
Correlation coefficients
Dispersion
Earth and Environmental Science
Earth Sciences
Geophysics/Geodesy
Lead time
Modelling
Phenological models
Pollen
Pollination
Seasonal forecasting
Seasons
Surface temperature
Systematic errors
Weather forecasting
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Summary:Experimental seasonal forecasts using the INM-CM5 climate model have been applied as the input data for the temperature–time phenological model of birch pollination. A test method has been developed within the framework of the joint model for the seasonal forecasting of the time of the beginning of birch pollen dispersion in the European territory of Russia. Verification of this method on seasonal retrospective forecasts of the INM-CM5 model (in 1991–2019) has shown an adequate reproduction of the days of the beginning of birch pollen season simulated for the same period based on ERA5 reanalysis. The mean systematic errors are ±2 days, and the spatial correlation coefficients exceed +0.84. The forecasts of the date of pollen dispersion beginning in 2022 simulated from the experimental operational seasonal forecasts using the INM-CM5 model with a monthly lead time and with a zero lead time are also evaluated. It is shown that the errors in forecasting the onset of pollen dispersion are ±5–10 days, with smaller errors of forecasts with a 1-month lead time. The results allow us to conclude that the seasonal forecast of the surface temperature based on the INM-CM5 model can be used as input information for the temperature–time phenological model for the operational forecast of the start time of birch pollen dispersion in the European territory of Russia.
ISSN:0001-4338
1555-628X
DOI:10.1134/S0001433823040059