2020
DOI: 10.1126/sciadv.aba2724
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Direct and seasonal legacy effects of the 2018 heat wave and drought on European ecosystem productivity

Abstract: In summer 2018, central and northern Europe were stricken by extreme drought and heat (DH2018). The DH2018 differed from previous events in being preceded by extreme spring warming and brightening, but moderate rainfall deficits, yet registering the fastest transition between wet winter conditions and extreme summer drought. Using 11 vegetation models, we show that spring conditions promoted increased vegetation growth, which, in turn, contributed to fast soil moisture depletion, amplifying the summer drought.… Show more

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Cited by 297 publications
(285 citation statements)
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“…By construction, the results of the NEE-T-W inversion decidedly depend on the dataset used as explanatory variable in the water availability term. The six-monthly Standardized Precipitation Evapotranspiration Index (SPEI06, § 2c ) was chosen here because (1) it is based on observations, (2) it was found to match soil-moisture anomalies from satellite-based data well [ 31 ] and (3) it is available until the end of our analysis period in 2018. Note that this SPEI dataset uses the Thornthwaite estimation of potential evapotranspiration [ 27 ], considered less reliable than the FAO-56 Penman–Monteith estimation [ 32 ] used in the alternative ‘SPEIbase’ dataset; however, the latter is currently only available until 2015.…”
Section: Discussionmentioning
confidence: 99%
“…By construction, the results of the NEE-T-W inversion decidedly depend on the dataset used as explanatory variable in the water availability term. The six-monthly Standardized Precipitation Evapotranspiration Index (SPEI06, § 2c ) was chosen here because (1) it is based on observations, (2) it was found to match soil-moisture anomalies from satellite-based data well [ 31 ] and (3) it is available until the end of our analysis period in 2018. Note that this SPEI dataset uses the Thornthwaite estimation of potential evapotranspiration [ 27 ], considered less reliable than the FAO-56 Penman–Monteith estimation [ 32 ] used in the alternative ‘SPEIbase’ dataset; however, the latter is currently only available until 2015.…”
Section: Discussionmentioning
confidence: 99%
“…This covers an area of 1.6 × 10 6 km 2 over land and corresponds to the ‘extreme drought’ threshold that we are primarily interested in under the system proposed by Quiring [ 26 ]. Using the six-monthly Standardized Precipitation Evapotranspiration Index (SPEI) from the SPEI global drought monitor after Bastos et al [ 27 ], the same criterion would exclude much of the UK and France, which we know to have been severely affected and which demonstrate strong anomalies in the remote sensing products shown in figure 1 . We, therefore, use the precipitation-based mask throughout this paper.…”
Section: Methodsmentioning
confidence: 99%
“…Variation in climate modes can partly explain the co-occurrence of climate variables unfavourable to yields [72]. For example, comparing recent major droughts in Europe, similar preceding rainfall deficits and strong feedbacks between air temperature and soil water anomalies were observed preceding the 2003, 2010 and 2018 droughts [73][74][75][76]. Yet, the area under droughts and factors aggravating the effect of the drought are distinct: severe soil drying caused by preceding rainfall deficits and high evaporative demand prior to summer in 2003, and high evapotranspiration linked to extreme warm and sunny conditions in spring in 2018 [76].…”
Section: (C) Low Yields Are Often Caused By Climatic Anomalies In Simentioning
confidence: 99%