A novel method for assessing climate change impacts in ecotron experiments
A novel method for assessing climate change impacts in ecotron experiments
复制标题
一种在 Ecotron 实验中评估气候变化影响的新方法
DOI:
10.1007/s00484-020-01951-8
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发表时间:
2020
影响因子:
3.2
通讯作者:
W. Thiery
中科院分区:
文献类型:
--
作者:
Inne Vanderkelen;J. Zscheischler;L. Gudmundsson;K. Keuler;F. Rineau;N. Beenaerts;J. Vangronsveld;S. Vicca;W. Thiery
Ecotron facilities allow accurate control of many environmental variables coupled with extensive monitoring of ecosystem processes. They therefore require multivariate perturbation of climate variables, close to what is observed in the field and projections for the future. Here, we present a new method for creating realistic climate forcing for manipulation experiments and apply it to the UHasselt Ecotron experiment. The new methodology uses data derived from the best available regional climate model projection and consists of generating climate forcing along a gradient representative of increasingly high global mean air temperature anomalies. We first identified the best-performing regional climate model simulation for the ecotron site from the Coordinated Regional Downscaling Experiment in the European domain (EURO-CORDEX) ensemble based on two criteria: (i) highest skill compared to observations from a nearby weather station and (ii) representativeness of the multi-model mean in future projections. The time window is subsequently selected from the model projection for each ecotron unit based on the global mean air temperature of the driving global climate model. The ecotron units are forced with 3-hourly output from the projections of the 5-year period in which the global mean air temperature crosses the predefined values. With the new approach, Ecotron facilities become able to assess ecosystem responses on changing climatic conditions, while accounting for the co-variation between climatic variables and their projection in variability, well representing possible compound events. The presented methodology can also be applied to other manipulation experiments, aiming at investigating ecosystem responses to realistic future climate change.
影响因子:
8.8
作者:
Kreyling, Juergen;Schweiger, Andreas H.;Larsen, Klaus Steenberg
通讯作者:
Larsen, Klaus Steenberg
影响因子:
4.4
作者:
Sillmann, J.;Kharin, V. V.;Bronaugh, D.
通讯作者:
Bronaugh, D.
影响因子:
5.1
作者:
Kotlarski, S.;Keuler, K.;Wulfmeyer, V.
通讯作者:
Wulfmeyer, V.