04 Aug 2021
| 04 Aug 2021
Winter Subseasonal Wind Speed Forecasts for Finland from ECMWF
Finnish Meteorological Institute, Weather and Climate Change Impact Research, Helsinki, Finland
Terhi K. Laurila
Finnish Meteorological Institute, Weather and Climate Change Impact Research, Helsinki, Finland
Olle Räty
Finnish Meteorological Institute, Meteorological Research, Helsinki, Finland
Natalia Korhonen
Finnish Meteorological Institute, Weather and Climate Change Impact Research, Helsinki, Finland
Andrea Vajda
Finnish Meteorological Institute, Weather and Climate Change Impact Research, Helsinki, Finland
Hilppa Gregow
Finnish Meteorological Institute, Weather and Climate Change Impact Research, Helsinki, Finland
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Otto Hyvärinen, Antti Mäkelä, Matti Kämäräinen, and Hilppa Gregow
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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
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I. Lehtonen, A. Venäläinen, M. Kämäräinen, H. Peltola, and H. Gregow
Nat. Hazards Earth Syst. Sci., 16, 239–253, https://doi.org/10.5194/nhess-16-239-2016, https://doi.org/10.5194/nhess-16-239-2016, 2016
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The number of large forest fires in Finland will most likely increase during the twenty-first century in response to projected climate change. This would increase the risk that some of the fires could develop into real conflagrations which have become almost extinct in Finland due to effective fire suppression. However, our results show considerable inter-model variability, demonstrating the large uncertainty related to the rate of the projected change in forest-fire danger.
A. K. Kaiser-Weiss, F. Kaspar, V. Heene, M. Borsche, D. G. H. Tan, P. Poli, A. Obregon, and H. Gregow
Adv. Sci. Res., 12, 187–198, https://doi.org/10.5194/asr-12-187-2015, https://doi.org/10.5194/asr-12-187-2015, 2015
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Wind speed measured at the German stations correlate well with reanalysis fields. Monthly means from two global reanalyses (ERA-20C, ERA-Interim) and one regional reanalysis (COSMO-REA6) were analysed and correlate well for the majority of the German stations. Thus we conclude that the monthly and seasonal anomalies recorded at these stations can be understood as representative for a spatial area comparable to the resolution of the reanalyses, at least for the recent years.
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
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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.
H. Gregow, P. Poli, H. M. Mäkelä, K. Jylhä, A. K. Kaiser-Weiss, A. Obregon, D. G. H. Tan, S. Kekki, and F. Kaspar
Adv. Sci. Res., 12, 63–67, https://doi.org/10.5194/asr-12-63-2015, https://doi.org/10.5194/asr-12-63-2015, 2015
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Many users of climate information are unaware of the availability of reanalysis feedback data and input observations, and uptake of feedback data is rather low. The most important factors limiting the use of this data is that the users feel that there is no easy interface to get the data or they do not find it at all. The relevant communities should invest resources to develop tools and provide training to bridge the gap between current capabilities and comprehensive exploitation of the data.
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
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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.
N. Korhonen, A. Venäläinen, H. Seppä, and H. Järvinen
Clim. Past, 10, 1489–1500, https://doi.org/10.5194/cp-10-1489-2014, https://doi.org/10.5194/cp-10-1489-2014, 2014
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
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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.
Wind speed forecasts have many potential users that could benefit from skilful forecasts. We...
