Analysis of daily precipitation thresholds in Meteoalarm
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1 Analysis of daily precipitation thresholds in Meteoalarm (Andrew Stepek, Ine Wijnant, Gerard van der Schrier) Abstract: The main aim of this work is to propose new precipitation thresholds for Meteoalarm which are based on local climate. At the moment each participating country individually decides what threshold to use for the different levels of warning (yellow, orange and red). There is a Meteoalarm guideline for the frequency of issuing warnings, but it gives very unrealistic guidelines for many countries and not all countries choose their thresholds accordingly. Unrealistic differences in the frequency and severity of the warnings between neighbouring countries are the result of this. Thresholds based on return values will make the warning system more uniform and will give a better idea of how extreme the weather related event is compared to local climate. We expect these new thresholds to give a more realistic warning of the possible danger of the weather-related event or its impact on society. We calculated return values for the annual highest daily precipitation amounts with the precipitation data available in the European Climate Assessment & Dataset (ECA&D). One of the conclusions is that the current code yellow thresholds for daily precipitation amounts should on average be lower to get them in accordance with Meteoalarm guidelines. The new code orange thresholds we suggest are based on 2 year return values. Quite a few countries see strong regional differences and could differentiate their thresholds accordingly. Current thresholds above 60 mm/24h are unrealistically high. We suggest that new thresholds for code red warnings should be based on 5 year return values. This means that the current code red warnings are on average too high: currently an average code red warning does not happen once in 5 years, but once in 50 years or even less often. Because of climate change thresholds based on return values slowly change in time. It may also be useful to consider the seasonal dependence of return values. Content: 1. Meteoalarm guidelines 2. Return values in ECA&D 3. New code yellow thresholds for daily precipitation amounts 4. New code orange thresholds for daily precipitation amounts 5. New code red thresholds for daily precipitation amounts 6. Trends 7. Seasonal differences 1
2 1. Meteoalarm guidelines In Meteoalarm there are 10 awareness types for dangerous weather-related events. For each awareness type the current Meteoalarm guideline is to issue lowest level warnings (yellow) more than 30 times a year, orange warnings 1-30 times a year and highest level warnings (red) less than once a year. These return periods are initially the same for all countries but are then normalised to a standard country size of km². The reason for applying this size weighting to the return period is that intuitively you would expect large countries to issue warnings more often than small countries because the chance that dangerous weather will hit large countries is greater. However, this normalisation for country size results in very unrealistic guidelines for many countries (appendix 1) and this implies that the above reasoning which seems intuitively right is in fact fundamentally flawed. The intuitive reasoning that bigger countries should issue more warnings than smaller ones is true if one assumes that the warning thresholds and the climate are the same for all countries but that is obviously not true. For example: Germany is about 3 times bigger than Iceland, but despite this you would expect Iceland to warn more often for high winds because the Icelandic climate is windier. On the other hand, if Germany uses a low threshold, then it may issue just as many or even more warnings than Iceland. Thresholds should not be the same for all countries because what is extreme for the one country, might be very normal for the other and how extreme the event is compared to the local climate will, to a large extent, determine the possible danger or social impact of the event (and therefore the level of the warning). Thresholds based on return values do reflect the local climate and they also take into account the size of the country because they are based on measurements made throughout the whole country. The aim of this report is to present new Meteoalarm return period guidelines which are similar to the current guidelines for most of the member countries but then with warning thresholds which are based on the corresponding return values calculated using measurements of the local climate of each country. 2. Return values in ECA&D Return values give a good indication of how extreme the event is in comparison with local climate. A return value of 2 years for example refers to an event that happens on average once in 2 years. There is a standard tool available in the European Climate Assessment & Dataset (ECA&D) to calculate thresholds that match with return values of 2, 5, 10 and 20 years (eca.knmi.nl). Fig 1 shows that for the Netherlands the 2 year return value for the highest daily precipitation amount is mm. This means that on average the Netherlands should expect a maximum daily precipitation amount between 25 and 45 mm once every 2 years. The 1 year return value of the annual highest daily precipitation amount in a given period is the same as the highest daily precipitation amount that on average occurs once a year in that period and that is equal to the average of all the annual highest daily precipitation amounts in the period. Fig 1: 2 year return values of daily precipitation amount for the Netherlands based on : all values mm 2
3 Before return values can be calculated the raw data have to be checked (quality control and homogeneity tests) and only data that meet stringent completeness requirements will be used to calculate indices (such as the annual maximum of the daily precipitation amount or the number of days in a year with precipitation amount 20 mm). Additional completeness requirements and testing are necessary to decide whether return values can be calculated based on these indices. The quality control requirements are: Daily precipitation amount should be 0 mm and mm The number of days with the same precipitation amount should not be more than 9 (for amounts > 1 mm) The number of days with the same precipitation amount should not be more than 4 (for amounts > 5 mm) Homogeneity tests are required if you want to reliably calculate return values or say something about climate change (trends). You need to exclude breaks (caused by relocation of stations or changes in surroundings, but also by changes in measuring equipment or methods) in order to make sure that the trend you see is a real one caused by climate change and not by changes in where and how you did your measurements. If you measure larger precipitation amounts due to relocation, this will have an impact on return values. Different homogeneity tests have been developed to detect breaks in data-sets and the standard tests in ECA&D are Standard Normal Homogeneity Test, Buishand, Pettitt and Von Neumann. These tests were run on the annual number of days with precipitation amount > 1 mm because many stations have a lot of dry days and dry days are insensitive to the way the precipitation is measured. Homogeneity tests are done for periods starting in 1901, 1946, 1961, 1976 or 1979 and ending last year and 2 years earlier. In the period considered the daily precipitation amount should be available for 80% of the time. The completeness requirements are as follows. For a particular year, indices (such as the annual maximum gust) will only be calculated if there is sufficient data (at least 362 days per year with valid daily data). Only sufficiently long series (at least 10 years) are stored in the database and can be used for calculating return values. The Gumbel fit requirements are as follows. It is only possible to calculate a return value for a certain period if there is an index for 80% of the years in that period. In order to get a return value, an Extreme Value Distribution (Gumbel in this case) is fitted to the index (very heavy precipitation days with amount 20 mm) and an Anderson-Darling test with a 5% significance level is used to determine whether this fit is good enough. 3
4 3. New code yellow thresholds for daily precipitation amounts Fig 2 shows that the median of the daily precipitation amount thresholds currently used in Meteoalarm countries for code yellow (25 mm) corresponds in a large part of Europe with return values of less than once a year (in other words: a maximum daily precipitation amount of 25 mm happens less frequently than once a year). According to Meteoalarm guidelines however, most countries (with the exception of Malta and Luxembourg) should issue code yellow warnings more than once a year (appendix 1) which means that the thresholds currently used for code yellow warnings (appendix 2) are on average a bit too high. Fig 2: 1 year return values of annual maximum 1 day precipitation amount [mm] based on period Currently there is index in ECA&D of the number of days in a year where the precipitation amount 25 mm, but there is an index of the average number of days where the precipitation amount 20 mm. For most of Europe precipitation amounts of 20 mm occur less than 3 days a year and only in parts of Norway, Slovenia and Italy are there locally more than 10 days a year with precipitation amounts of 20 mm (fig 3). Fig 3: 1 year return values of very heavy precipitation days with 20 mm [days] based on period o Annual number of very heavy precipitation days is the number of days in that year where the daily precipitation amount is 20 mm o If the 1 year return value of very heavy precipitation days is 10, then the annual average number of days with 20 mm is 10 days 4
5 4. New code orange thresholds for daily precipitation amounts According to current Meteoalarm guidelines France (with km² the biggest of the Meteoalarm countries) should issue a code orange warning between 2 and 65 times a year and Malta (with 316 km² the smallest of the Meteoalarm countries) at most once in 33 years. For the median of the sizes of the countries these values are between 8-9 times a year and once in 3-4 years. Which return value should be linked to code orange warnings is up to the Meteoalarm Expert Team, but as a first estimate we looked at 2 year return values because this is appropriate for a median sized country according to the current guidelines: Fig 4: 2 year return values of annual maximum 1 day precipitation amount [mm] based on period o o Annual highest 1 day precipitation amount [mm] is the maximum daily precipitation amount measured in a particular year. There are no values for Iceland, Greece, Hungary, Slovakia and Sweden in the figure because the data failed to meet the stringent quality control and completeness requirements used in ECA&D For Switzerland, Finland and Sweden the most recent period ( ) did not provide enough return values due to data gaps in the recent part of the records, so we calculated the 2 year return values for another period ( ) (fig 5). These return values may be less accurate because we expect return values to change due to climate change (see section 6: Trends). Based on these 2 year return values we can draw the following conclusions for code orange thresholds: Regional differences within a country can be very large, for example in: o Norway: on the coast locally mm, elsewhere mm o Italy: in the northwest mm, elsewhere mm (not a lot of data in central and south Italy) o Slovenia: in the east mm, elsewhere mm o Switzerland: mm, in the south mm 5
6 Fig 5: 2 year return values of annual maximum 1-day precipitation amount [mm] based on period: values in Norway vary from 20 mm inland to 105 mm (station Takle ECA&D sta_id 1049) locally on the SW coast Fig 6: 2 year return values of annual maximum 1-day precipitation amount [mm] based on period: values in N-Italy vary from 50 mm in the east to 159 mm (Parazzuolo ECA&D sta_id 2859) in the west; values in Slovenia vary from 40 mm in the east to 172 mm (Zaga ECA&D sta_id 3391) in the west If we aim for 2 year return values of the annual maximum of the daily precipitation amount, the thresholds currently used at the high end of the threshold spectrum, above 60 mm (appendix 2), are in general unrealistically high (except in parts of Norway, Slovenia, Switzerland and Italy and very locally in France or Spain, where we suggest regional thresholds): o Based on the period: Cyprus: mm (current code orange threshold is 85 mm) Netherlands: mm and locally mm (threshold is 75 mm) Norway: see regional thresholds (threshold is 65 mm) o Based on the period: Switzerland: see regional thresholds (current code orange threshold is 75 mm) Finland: mm (threshold is 70 mm) Sweden: mm (threshold is 70 mm) 6
7 On the low end of the threshold spectrum, Serbia seems to have a realistic threshold for daily precipitation amount i.e. the current threshold is comparable to the 2 year return value, but there are not enough good stations to provide return values to suggest a threshold for Greece: Serbia: mm (current code orange threshold is 40 mm) Greece: no return values for and only two in the south for : 45 and 54 mm (current threshold is 40 mm) There are quite a few Meteoalarm countries where there is currently no (code orange) warning for daily precipitation amounts (Spain and Hungary only issue a warning for a 12 hour precipitation amount, Latvia, Estonia and Lithuania for a 14 hour amount and Portugal for a 6 hour amount; Poland does issue a 24 hour warning, but only a code yellow one). If the aim is to issue a code orange warning for daily precipitation amounts with a 2 year return value, the thresholds should be something like this: Denmark: mm Spain: mm, in the southeast mm Hungary: not enough return values available (nothing for and only one for , Budapest 37 mm) Iceland: no return values for and only four for (two in the east mm and two in the west mm): we cannot explain why the west should get less rain than the east so for the time being we suggest mm, locally mm Poland: mm, in extreme south mm Portugal: mm Latvia: mm Estonia: mm Lithuania: mm For Malta and Slovakia the thresholds currently used are unknown (appendix 2): Malta: no return values available (precipitation data is available for one station, Luqa) Slovakia: not enough return values (only one for , Poprad/Tatry 37 mm) The remaining Meteoalarm countries issue a code orange warning for daily precipitation amounts between 45 and 60 mm, fairly close to the current median of 50 mm. If the aim is a 2 year return value, the threshold should be something like this: Austria: mm Czech Republic: mm, in the west locally mm Belgium: mm Germany: mm, in extreme south mm France: mm, in the south mm Ireland: mm, in the southwest mm Italy: mm (not a lot of return values in central and south Italy), in the northwest mm Luxembourg: mm Romania: mm Slovenia: mm, in the east mm UK: mm (should probably be higher in Scotland and Wales: not a lot of return values in Scotland and Wales and in Scotland there is only data available on the east coast where precipitation amounts are significantly lower than on the west coast) Appendix 3 gives a summary of thresholds based on 2 year return periods. 7
8 5. New code red thresholds for daily precipitation amounts Fig 7 shows that the median of the daily precipitation thresholds currently used in Meteoalarm countries for code red (90 mm) corresponds in a large part of Europe with return periods of 50 years or more (in other words: a maximum daily precipitation amount of 90 mm happens once in 50 years or even less frequently than that). Fig 7: 50 year return values of annual maximum 1-day precipitation amount [mm] based on period. The result of country size weighting of the code red criterium (as is done in the current Meteoalarm guideline) is that France has to issue a code red warning less than 2 times a year but Malta less than once in 950 years (appendix 1). A medium sized country such as Ireland (70273 km²) has to issue a code red warning less often than once every 4 years. Which return value should be linked to code red warnings is up to the Meteoalarm Expert Team, but as a first estimate we looked at 5 year return values. Based on the return values we calculated, the code red threshold for Ireland should be between 30 and 60 mm (current threshold is 80 mm). Fig 8: 5 year return values of annual maximum 1-day precipitation amount [mm] based on period. 8
9 The current Meteoalarm guideline suggests that Slovenia should issue a code red warning less than once in 15 years (appendix 1). The calculated 10 and 50 year return values indicate that regional thresholds are required (fig 9 and 10). Although the threshold currently used (100 mm) is not too bad as a country average (fig 9), 100 mm corresponds with a return value of about 50 years for eastern parts of the country (fig 10). Fig 9: 10 year return values of annual maximum 1-day precipitation amount [mm] based on period; Values vary from 60 mm in the east to 160 mm in the west Fig 10: 50 year return values of annual maximum 1-day precipitation amount [mm] based on period; Values vary from 75 mm in the east to 305 mm in the west 9
10 6. Trends Because of climate change, return values will probably change slowly in time and therefore thresholds based on return values should be regularly updated. Comparing fig 11 (based on the period) and fig 12 (based on the period) shows that The Netherlands gets on average higher daily precipitation extremes than 50 years ago (return values have increased). The change is most significant for coastal areas (return values increase from to mm). Fig 11: 2 year return values of annual maximum 1-day precipitation amount [mm] for The Netherlands based on period: no values > 40 mm Fig 12: 2 year return values of annual maximum 1-day precipitation amount [mm] for The Netherlands based on period: values locally mm 10
11 An ECA&D trend map (fig 13) shows climate change even more clearly. In coastal areas the highest daily precipitation amount has increased significantly. Fig 13: Trend map for annual highest 1-day precipitation amount [mm/decade] 7. Seasonal dependency Return values do not only change in time, but their value also depends on what period the calculations are based on. So far we have only looked at annual return values, but in ECA&D you can also calculate return values based on one specific month, one specific season (winter dec-feb, summer jun-aug, spring mar-may, autumn sep-nov) or a winter or a summer half year (oct-mar or april-sept). 11
12 Appendix 1: Return values matching official Meteoalarm guidelines per country Country Country Country size weighed Country size weighed Name Size [km2] Meteoalarm criterium Meteoalarm criterium (once a year) (30 times a year) Austria once in 3-4 years 8-9 times a year Belgium once in 9-10 years 3-4 times a year Swiss once in 7-8 years 4-5 times a year Cyprus 9251 once in years about once a year Czech rep once in 3-4 years 7-8 times a year Germany times a year times a year Denmark once in 6-7 years 4-5 times a year Spain about 2 times a year times a year Finland times a year times a year France about 2 times a year times a year Greece once in 2-3 years times a year Hungary once in 3-4 years 9-10 times a year Iceland once in 2-3 years times a year Ireland once in 4-5 years 7-8 times a year Italy about once a year times a year Luxembourg 2586 once in years about once in 4 years Malta 316 once in years about once in 33 years Netherlands once in 7-8 years 4-5 times a year Norway times a year times a year Poland about once a year times a year Portugal once in 3-4 years 9-10 times a year Romania about once a year times a year Sweden times a year times a year Slovenia once in years 2-3 times a year Slovakia once in 6-7 years 4-5 times a year UK about once a year times a year Latvia once in 4-5 years 6-7 times a year Estonia once in 6-7 years 4-5 times a year Lithuania once in 4-5 years 6-7 times a year Serbia once in 3-4 years 7-8 times a year Median once in 3-4 years 8-9 times a year In green the biggest and the smallest Meteoalarm countries France and Malta. 12
13 Appendix 2: Current Meteoalarm thresholds for extreme precipitation amounts. Overview of current thresholds for precipitation (from a presentation by Ludo van Auwera to the Meteoalarm Expert Meeting in Geneve on juni 2009): 6h 6h 6h 12h 12h 12h 24h 24h 24h 1 Austria Belgium Swiss Cyprus Czech R Germany Denmark 24 8 Spain Finland France Greece Hungary Iceland Ireland Italy Luxemb Malta????????? 18 Netherl Norway Poland Portugal Romania Sweden Slovenia Slovakia????????? 26 UK Latvia Estonia Lithuania Serbia From these thresholds we calculated the median of the thresholds for the 24 hour amounts: Yellow: 25 mm Orange: 50 mm Red: 90 mm 13
14 Appendix 3: Country Orange threshold 24h (average) Orange threshold 24h (min value) Austria Belgium Cyprus Czech R Czech R (locally in West) Denmark Germany Germany (extreme South) Estonia Finland France France (SE) Greece Hungary Iceland Iceland (locally) Ireland Ireland (SW) Italy Italy (NW) Latvia Lithuania Luxembourg Malta Netherlands Netherlands (locally) Norway Norway (locally SW coast) Poland Poland (extreme South) Portugal Romania Serbia Slovakia Slovenia (E) Slovenia (W) Spain Spain (SE) Sweden Swiss Swiss (S) UK (England) UK (Scotland/Wales) Orange threshold 24h (max value) Based on ECA&D dataset of Unreliable due to too few return values If the differences within a country are large, we suggest using regional thresholds. 14
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