24.06.2021

Scientists from the National Hydrological Monitoring Programme (NHMP) at UKCEH have been assessing the recent striking hydrological conditions in the UK and putting them in a historical context. Dr Simon Parry explains鈥�

April and May demonstrated the full range of extreme spring weather. Following an April which featured a highly unusual combination of cool and dry weather for the 1, May was exceptionally wet. Rainfall for Wales was more than two and a half times the long-term average, the wettest May in a 2.

Two maps of the UK indicating rainfall amounts in April 2021 and May 2021 as a percentage of average
Figure 1: Rainfall anomalies for the UK in: (a) April 2021; (b) May 2021

The remarkable aspect of April-May 2021 was the abruptness and magnitude of the transition from dry to wet conditions. The UK received 20.1mm of rainfall in April and nearly six times this amount (119.5mm) in May (Figure 2). This difference (99.4mm) is the largest of any successive April-May in a series from 1910. It eclipsed the previous maximum in 2007 (a difference of 87.0mm) which heralded the well-known summer 2007 flood episode3, one of the most significant of the last 20 years4. In addition to being the largest dry-wet April-May transition on record, the magnitude of change in 2021 (99.4mm) was also bigger than any wet-dry transition for April-May by some margin (76.2mm in 1998).

Bar chart showing rainfall totals for the UK from Jan 2020 to May 2021
Figure 2: Rainfall totals (mm; black line) for the UK, Jan 2020 - May 2021. The red line is the 1981-2010 long-term average monthly rainfall.

However, limiting analysis to April-May is slightly arbitrary and may exaggerate the rarity of these transitions. The use of rainfall anomalies (the difference between observed rainfall total and long-term average for the calendar month) allows a comparison of April-May transitions with successive months at any time of year. Long-term averages for April and May are actually very similar in the UK but the seasonal cycle of average rainfall (red line in Figure 2 above) highlights the need to consider anomalies rather than absolute totals when assessing historical context for any month.

For the UK, rainfall in April was 29% of the 1981-2010 monthly average, and 177% of average in May. This difference between anomalies (148 percentage points) is the second largest of any two successive months in a series from 1910 (Table 1). This transition eclipsed several previous instances which triggered some of the most noteworthy flood events of recent decades (e.g. Jan-Feb 2020 in sixth; Apr-May 2007 in eighth).

Table showing top 10 dry to wet transitions from one month to the next, in the UK
Table 1: Top 10 dry-wet transitions by rainfall anomalies (% long-term average rainfall for 1981-2010) of all successive months in a series from 1910

The significance of the Apr-May 2021 transition is underlined by it surpassing the onset of recovery from the 2010-12 drought (third in Table 1 above). The abrupt return of rainfall in April 2012 heralded the wettest April-July period for England and Wales in a series from 1766, triggering repeated widespread flooding over the rest of 20125. The transformation of the hydrological situation in 2012 was slightly different in its switch from multi-year river flow deficits to protracted high flows. Nevertheless, the Apr-May 2021 transformation from very low to very high flows within the span of a single month highlights our highly variable hydrometeorology and how dramatically this can influence the hydrological situation. Mean May outflows from Wales in 2021 were the highest in a series from 1961 (Figure 3), with daily outflows on the 20th/21st eclipsing previous May daily maxima by a substantial margin (>140% of the previous record).

Bar chart showing mean May outflows from Wales from 1961 to 2001
Figure 3: Mean May outflows from Wales, 1961-2021

Within the at UKCEH, hydrometeorological variability and change is a key topic. In addition to summaries of notable hydrological extremes4,6 and long-term trend analyses7,8, several recent studies specifically addressed the question of variability.

the Apr-May 2021 transformation from very low to very high flows within the span of a single month highlights our highly variable hydrometeorology and how dramatically this can influence the hydrological situation.

Wilby et al9 used statistical models of transition probabilities between dry/wet conditions and low/high flows to better understand the persistence of meteorological and hydrological drought. Some of the most noteworthy transitions from dry to wet conditions occur at the ends of droughts, with Mar-Apr 2012 an extreme example which triggered further research to better understand drought recovery. Other studies explored remaining research questions on drought recovery10, proposed novel methodologies for drought identification and characterisation11, and implemented approaches to forecasting these events12.

'Weather whiplash'

These studies are part of a burgeoning body of research on hydrometeorological variability. In the US, popular science terms including 鈥榳eather whiplash鈥�13 and 鈥榩recipitation whiplash鈥�14 have been coined to communicate in simple terms the abruptness with which conditions change from dry to wet or vice versa.  In the western US, increases in both the frequency and magnitude of extreme precipitation reversals are already apparent in observations15. Climate projections also suggest these changes are likely to increase in future14, with impacts on water quality13, ecology and the management of concurrent hazards.

The recent occurrence of extreme examples coupled with projections suggesting this pattern will likely continue in future has helped to establish hydrometeorological variability as a highly topical area of research within the hydrological research community. These potentially disruptive events pose challenges for a range of stakeholders and wider society and further research is needed to better understand their drivers, mechanisms and impacts.

Written by Simon Parry with input from Katie Muchan, Lucy Barker, Stephen Turner, Catherine Sefton and Jamie Hannaford.

References

1 April 2021 Hydrological Summary

2 May 2021 Hydrological Summary

3 Marsh, T J and Hannaford, J. (2007) . 皇冠体育国际娱乐 for Ecology & Hydrology. 32pp.

4 Sefton, C, Muchan, K., Parry, S., Matthews, B., Barker, L., Turner, S. and Hannaford, J. (2021), . Weather, doi:10.1002/wea.3993.

5 Parry, S, Marsh, T and Kendon, M. (2013), . Weather, 68: 268-274

6 Turner, S, Barker, L J, Hannaford, J, Muchan, K, Parry, S and Sefton, C. (2021), . Weather. doi:10.1002/wea.4003

7 Harrigan S, Hannaford J, Muchan K, Marsh T. 2018. . Hydrology Research, 49 (2). 552-567; DOI: 10.2166/nh.2017.058

8 Hannaford J, Mastrantonas N, Vesuviano G, Turner S (2021) Hydrology Research, 52, 699鈥�718

9 Wilby, R, Prudhomme, C, Parry, S, & Muchan, K (2015) . Journal of Extreme Events, 2, 1550006

10 Parry, S, Prudhomme, C, Wilby, R, & Wood, P (2016) . Progress in Physical Geography, 40, 743-767

11 Parry, S, Wilby, R, Prudhomme, C, & Wood, P (2016) . Hydrol. Earth Syst. Sci., 20, 4265鈥�4281

12 Parry, S, Wilby, R, Prudhomme, C, Wood, P, & McKenzie, A (2018) . Environmental Research Letters, 13, 064040

13 Loecke, T, Burgin, A, Riveros-Iregui, D, Ward, A, Thomas, S, Davis, C, & Clair, M (2017) . Biogeochemistry, 133, 7-15

14 Swain, D, Langenbrunner, B, Neelin, J, & Hall, A (2018) . Nature Climate Change, 8, 427

15 Marston, M, & Ellis, A (2018) , 1895鈥�2015. International Journal of Climatology, 38, 1520-1532

 

Related links