Development of seasonal climate outlooks for agriculture in Finland
Finnish Meteorological Institute, Weather and Climate Change Impact
Research, Helsinki, Finland
Otto Hyvärinen
Finnish Meteorological Institute, Weather and Climate Change Impact
Research, Helsinki, Finland
Related authors
Otto Hyvärinen, Terhi K. Laurila, Olle Räty, Natalia Korhonen, Andrea Vajda, and Hilppa Gregow
Adv. Sci. Res., 18, 127–134, https://doi.org/10.5194/asr-18-127-2021, https://doi.org/10.5194/asr-18-127-2021, 2021
Short summary
Short summary
Wind speed forecasts have many potential users that could benefit from skilful forecasts. We validated weekly mean speed forecasts for Finland using
forecasts from the ECMWF (European Centre for Medium-Range Weather Forecasts). We concentrate on winter (November, December and January) forecasts.
The forecasts proved to be skilful until the third week, but the longest skilful lead time depends on how the skill is calculated and what is used as the reference.
Otto Hyvärinen, Ari Venäläinen, and Andrea Vajda
Adv. Sci. Res., 17, 23–27, https://doi.org/10.5194/asr-17-23-2020, https://doi.org/10.5194/asr-17-23-2020, 2020
Short summary
Short summary
The monthly mean soil moisture forecasts for forestry are been developed in the Finnish Meteorological Institute in cooperation with Finnish end-users. Such forecasts help in timber harvesting planning, and forecasts could large economic value. Therefore the skillfulness of forecasts was measured. Throughout the year the first month was skillful, and after that it can be hard to say if the forecasts are better than the normal conditions. Winter forecasts are a bit better than summer forecasts.
Tiina Ervasti, Hilppa Gregow, Andrea Vajda, Terhi K. Laurila, and Antti Mäkelä
Adv. Sci. Res., 15, 99–106, https://doi.org/10.5194/asr-15-99-2018, https://doi.org/10.5194/asr-15-99-2018, 2018
Short summary
Short summary
An online survey was used to map the needs and preferences of the Finnish general public about extended-range forecasts and their presentation. Survey results guided the co-design process of novel extended-range forecasts in the project. The respondents considered that the tailored extended-range forecasts would be beneficial in planning activities, preparing for weather risks and scheduling everyday life. They also valued impact information higher than advice on how to prepare for the impacts.
Matti Kämäräinen, Otto Hyvärinen, Kirsti Jylhä, Andrea Vajda, Simo Neiglick, Jaakko Nuottokari, and Hilppa Gregow
Nat. Hazards Earth Syst. Sci., 17, 243–259, https://doi.org/10.5194/nhess-17-243-2017, https://doi.org/10.5194/nhess-17-243-2017, 2017
Short summary
Short summary
Freezing rain is a high-impact wintertime weather phenomenon. The direct damage it causes to critical infrastructure (transportation, communication and energy) and forestry can be substantial. In this work a method for estimating the occurrence of freezing rain was evaluated and used to derive the climatology. The method was able to accurately reproduce the observed, spatially aggregated annual variability. The highest frequencies of freezing rain were found in eastern and central Europe.
P. Jokinen, A. Vajda, and H. Gregow
Adv. Sci. Res., 12, 97–101, https://doi.org/10.5194/asr-12-97-2015, https://doi.org/10.5194/asr-12-97-2015, 2015
Short summary
Short summary
Emergency rescue data and weather reanalysis data were combined to study the spatial and decadal characteristics of potential forest damage days in Finland due to windstorms. The most prone area for damage days was the south-western part of Finland. Results also indicated a lull period during the 1990s compared to the 1980s and 2000s, albeit no trend was evident. The study highlighted the importance of not only focusing on wind speeds, but also soil conditions.
Natalia Korhonen, Otto Hyvärinen, Virpi Kollanus, Timo Lanki, Juha Jokisalo, Risto Kosonen, David S. Richardson, and Kirsti Jylhä
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-75, https://doi.org/10.5194/nhess-2024-75, 2024
Revised manuscript under review for NHESS
Short summary
Short summary
The skill of hindcasts of the European Centre for Medium-Range Weather Forecasts in forecasting heat wave days (periods with the 5-day moving average temperature being above its local summer 90th percentile) over Europe 1 to 4 weeks ahead is examined. The heat wave days forecasts show potential in warning of heat risk in 1–2 weeks in advance, and enhanced accuracy in forecasting prolonged heat waves, in lead times of up to 3 weeks, when the heat wave had initiated prior to the forecast issuance.
Otto Hyvärinen, Terhi K. Laurila, Olle Räty, Natalia Korhonen, Andrea Vajda, and Hilppa Gregow
Adv. Sci. Res., 18, 127–134, https://doi.org/10.5194/asr-18-127-2021, https://doi.org/10.5194/asr-18-127-2021, 2021
Short summary
Short summary
Wind speed forecasts have many potential users that could benefit from skilful forecasts. We validated weekly mean speed forecasts for Finland using
forecasts from the ECMWF (European Centre for Medium-Range Weather Forecasts). We concentrate on winter (November, December and January) forecasts.
The forecasts proved to be skilful until the third week, but the longest skilful lead time depends on how the skill is calculated and what is used as the reference.
Natalia Korhonen, Otto Hyvärinen, Matti Kämäräinen, David S. Richardson, Heikki Järvinen, and Hilppa Gregow
Atmos. Chem. Phys., 20, 8441–8451, https://doi.org/10.5194/acp-20-8441-2020, https://doi.org/10.5194/acp-20-8441-2020, 2020
Short summary
Short summary
Reanalysis data of the strength of the polar vortex is applied in the post-processing of the European Centre for Medium-Range Weather Forecasts (ECMWF) winter surface temperature forecasts for weeks 3–4 and 5–6 over northern Europe. In this way, the skill scores of these forecasts are slightly improved. It is also found that, in cases where the polar vortex was weak at the start of the forecast, the mean skill scores of these forecasts were higher than average.
Otto Hyvärinen, Ari Venäläinen, and Andrea Vajda
Adv. Sci. Res., 17, 23–27, https://doi.org/10.5194/asr-17-23-2020, https://doi.org/10.5194/asr-17-23-2020, 2020
Short summary
Short summary
The monthly mean soil moisture forecasts for forestry are been developed in the Finnish Meteorological Institute in cooperation with Finnish end-users. Such forecasts help in timber harvesting planning, and forecasts could large economic value. Therefore the skillfulness of forecasts was measured. Throughout the year the first month was skillful, and after that it can be hard to say if the forecasts are better than the normal conditions. Winter forecasts are a bit better than summer forecasts.
Tiina Ervasti, Hilppa Gregow, Andrea Vajda, Terhi K. Laurila, and Antti Mäkelä
Adv. Sci. Res., 15, 99–106, https://doi.org/10.5194/asr-15-99-2018, https://doi.org/10.5194/asr-15-99-2018, 2018
Short summary
Short summary
An online survey was used to map the needs and preferences of the Finnish general public about extended-range forecasts and their presentation. Survey results guided the co-design process of novel extended-range forecasts in the project. The respondents considered that the tailored extended-range forecasts would be beneficial in planning activities, preparing for weather risks and scheduling everyday life. They also valued impact information higher than advice on how to prepare for the impacts.
Otto Hyvärinen, Antti Mäkelä, Matti Kämäräinen, and Hilppa Gregow
Adv. Sci. Res., 14, 89–93, https://doi.org/10.5194/asr-14-89-2017, https://doi.org/10.5194/asr-14-89-2017, 2017
Short summary
Short summary
Finnish Meteorological Institute and Helen Ltd examined the feasibility of long-range forecasts (longer than two weeks) of temperature for needs of the energy sector in Helsinki, Finland. In this study, we examined the quality of Heating degree day (HDD) forecasts. As the forecasts we used UK Met Office seasonal forecasts. The long-range forecasts of monthly HDD showed some skill in Helsinki in winter 2015–2016, up to two months, especially if the very cold January is excluded.
Matti Kämäräinen, Otto Hyvärinen, Kirsti Jylhä, Andrea Vajda, Simo Neiglick, Jaakko Nuottokari, and Hilppa Gregow
Nat. Hazards Earth Syst. Sci., 17, 243–259, https://doi.org/10.5194/nhess-17-243-2017, https://doi.org/10.5194/nhess-17-243-2017, 2017
Short summary
Short summary
Freezing rain is a high-impact wintertime weather phenomenon. The direct damage it causes to critical infrastructure (transportation, communication and energy) and forestry can be substantial. In this work a method for estimating the occurrence of freezing rain was evaluated and used to derive the climatology. The method was able to accurately reproduce the observed, spatially aggregated annual variability. The highest frequencies of freezing rain were found in eastern and central Europe.
P. Jokinen, A. Vajda, and H. Gregow
Adv. Sci. Res., 12, 97–101, https://doi.org/10.5194/asr-12-97-2015, https://doi.org/10.5194/asr-12-97-2015, 2015
Short summary
Short summary
Emergency rescue data and weather reanalysis data were combined to study the spatial and decadal characteristics of potential forest damage days in Finland due to windstorms. The most prone area for damage days was the south-western part of Finland. Results also indicated a lull period during the 1990s compared to the 1980s and 2000s, albeit no trend was evident. The study highlighted the importance of not only focusing on wind speeds, but also soil conditions.
O. Hyvärinen, L. Mtilatila, K. Pilli-Sihvola, A. Venäläinen, and H. Gregow
Adv. Sci. Res., 12, 31–36, https://doi.org/10.5194/asr-12-31-2015, https://doi.org/10.5194/asr-12-31-2015, 2015
Short summary
Short summary
We assessed the quality of the seasonal precipitation forecasts issued by Regional Climate Outlook Forum for Malawi and Zambia. The forecasts, issued in August, are of rainy season rainfall accumulations for early and late season. The forecasts are rather well-calibrated, but cannot discriminate between different events. But these results can be too pessimistic, because forecasts have gone through much development lately, and forecasts using current methodology might have performed better.
A. Venäläinen, N. Korhonen, O. Hyvärinen, N. Koutsias, F. Xystrakis, I. R. Urbieta, and J. M. Moreno
Nat. Hazards Earth Syst. Sci., 14, 1477–1490, https://doi.org/10.5194/nhess-14-1477-2014, https://doi.org/10.5194/nhess-14-1477-2014, 2014
Cited articles
Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical
weather prediction, Nature, 525, 47–55, 2015.
Bruno Soares, M.: Assessing the usability and potential value of seasonal
climate forecasts in land management decisions in the southwest UK:
challenges and reflections, Adv. Sci. Res., 14, 175–180,
https://doi.org/10.5194/asr-14-175-2017, 2017.
Bruno Soares, M. and Dessai, S.: Barriers and enablers to the use of seasonal
climate forecasts amongst organisations in Europe, Clim. Change, 137,
89–103, 2016.
Buontempo, C., Hewitt, C. D., Doblas-Reyes, F. J., and Dessai, S.: Climate
service development, delivery and use in Europe at monthly to inter-annual
timescales, Climate Risk Management, 6, 1–5,
https://doi.org/10.1016/j.crm.2014.10.002, 2014.
Copernicus Climate Change Service: Climate Data Store, available at: https://cds.climate.copernicus.eu, last access: 12 June 2020.
Doblas-Reyes, F. J., Garcia-Serrano, J., Lienert, F, Biescas, A. P., and
Rodrigues, L. R. L.: Seasonal climate predictability and forecasting: status
and prospects, Wiley Interdiscip. Rev. Clim. Change, 4, 245–268,
https://doi.org/10.1002/wcc.217, 2013.
Hansen, J. W.: Integrating seasonal climate prediction and agricultural
models for insights into agricultural practice, Philos. T. R. Soc. B,
360, 2037–2047, 2005.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 Global Reanalysis, Q. J. R. Meteor. Soc., 146, 1–51, https://doi.org/10.1002/qj.3803, 2020.
Iturbide, M., Bedia, J., Herrera, S., Baño-Medina, J., Fernández,
J., Frías, M. D., Manzanas, R., San-Martín, D.,
Cimadevilla-Alvarez, E., Cofiño, A. S., and Gutiérrez, J. M.: The
R-based climate4R open framework for reproducible climate data access and
post-processing, Environ. Modell. Softw., 111, 42–52,
https://doi.org/10.1016/j.envsoft.2018.09.009, 2019.
Johnson, S. J., Stockdale, T. N., Ferranti, L., Balmaseda, M. A., Molteni, F., Magnusson, L., Tietsche, S., Decremer, D., Weisheimer, A., Balsamo, G., Keeley, S. P. E., Mogensen, K., Zuo, H., and Monge-Sanz, B. M.: SEAS5: the new ECMWF seasonal forecast system, Geosci. Model Dev., 12, 1087–1117, https://doi.org/10.5194/gmd-12-1087-2019, 2019.
Klein Tank, A. M. G., Zwiers, F. W., and Zhang, X.: Guidelines on analysis of
extremes in a changing climate in support of informed decisions for
adaptation, climate data and monitoring WCDMP-No 72, WMO-TD No. 1500, p. 5,
2009.
Manzanas, R., Lucero, A., Weisheimer, A., and Gutiérrez, J. M.: Can bias
correction and statistical downscaling methods improve the skill of seasonal
precipitation forecasts?, Clim. Dynam., 50, 1161–1176,
https://doi.org/10.1007/s00382-017-3668-z, 2018.
Manzanas, R., Gutiérrez, J. M., Bhend, J., Hemri. S., Doblas-Reyes, F. J.,
Penabad, E., and Brookshaw, A.: Statistical adjustment, calibration and
downscaling of seasonal forecasts: a case-study for Southeast Asia, Clim.
Dynam., 54, 2869–2882,
https://doi.org/10.1007/s00382-020-05145-1, 2020.
Meinke, H. and Stone, R. C.: Seasonal and inter-annual climate forecasting:
the new tool for increasing preparedness to climate variability and change
in agricultural planning and operations, Clim. Change, 70, 221–253, 2005.
Mishra, N., Prodhomme, C., and Guemas, V.: Multi-model skill assessment of
seasonal temperature and precipitation forecast over Europe, Clim. Dynam., 52,
4207–4225, https://doi.org/10.1007/s00382-018-4404-z, 2019.
Peltonen-Sainio, P., Rajala, A., Känkänen, H., and Hakala, K.:
Improving farming systems in northern European conditions, in: Crop physiology: applications for genetic
improvement and agronomy, edited by: Sadras, V. O.
and Calderini, D., Elsevier, Amsterdam, the Netherlands,
71–97, 2019.
Scaife, A. A., Arribas, A., Blockley, E., Brookshaw, A., Clark, R. T., Dunstone, N., Eade, R., Fereday, D., Folland, C. K., Gordon, M., Hermanson, L., Knight, J. R., Lea, D. J., MacLachlan, C., Maidens, A., Martin, M., Peterson, A. K., Smith, D., Vellinga, M., Wallace, E., Waters, J., and Williams, A.: Skillful long-range prediction of European and North American winters, Geophys. Res. Lett., 41, 2514–2519, https://doi.org/10.1002/2014GL059637, 2014.
Wehrli, K., Bhend, J., and Liniger, M. A.: Systematic quality assessment of
an operational seasonal forecasting system, Technical Report, MeteoSwiss,
263, 52 pp., 2017.
Weisheimer, A. and Palmer, T. N.: On the reliability of seasonal climate
forecasts, J. Roy. Soc. Interface, 1, 20131162, https://doi.org/10.1098/rsif.2013.1162, 2014.
Zhao, T., Bennett, J. C., Wang, Q. J., Schepen, A., Wood, A. W., Robertson,
D. E., and Ramos, M. H.: How suitable is quantile mapping for
post-processing GCM precipitation forecasts?, Journal of Climate, 30,
3185–3196, https://doi.org/10.1175/JCLI-D-16-0652.1, 2017.
Short summary
We studied the applicability of seasonal forecast outputs in agriculture in Finland. The quality of seasonal forecasts output was assessed, and six tailored seasonal forecast indices were co-designed, developed in close collaboration with the Central Union of Agricultural Producers and Forest Owners and piloted with over 200 farmers. Although the tested seasonal forecast indices had a limited skill and need further improvements, the farmers found the climate outlooks useful.
We studied the applicability of seasonal forecast outputs in agriculture in Finland. The quality...