Recent High Missouri River Basin Runoff Was Unlikely Due to Climate Change

IF 2.6 3区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
A. Hoell, M. Hoerling, X. Quan, R. Robinson
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Abstract

October-September runoff increased 6% and 17% in the Upper (UMRB) and Lower (LMRB) Missouri River Basin, respectively, in a recent (1990-2019) compared to past (1960-1989) climate. The runoff increases were unanticipated, given various projections for semi-permanent drought and/or aridification in the North American Great Plains. Here, five transient coupled climate model ensembles are used to diagnose the effects of natural internal variability and anthropogenic climate change on the observed runoff increases, and to project UMRB and LMRB runoff to the mid-21st century. The runoff increases observed in the recent compared to the past climate were not due to anthropogenic climate change, but resulted mostly from an extreme occurrence of internal multi-decadal variability. High runoff resulted from large, mostly internally-generated, precipitation increases (6% in the UMRB and 5% in the LMRB) that exceeded simulated increases due to climate change forcing alone (0-2% inter-model range). The precipitation elasticity of runoff, which relates runoff sensitivity to precipitation differences in the recent compared to the past climate, led to 1-3-fold and 2-4-fold amplifications of runoff versus precipitation in the UMRB and LMRB, respectively. Without the observed precipitation increases in the recent compared to the past climate, effects of human-induced warming of about 1°C would alone have most likely induced runoff declines of 7% and 13% in the UMRB and LMRB, respectively. Ensemble model simulations overwhelmingly project lower UMRB and LRMB runoff by 2050 compared to 1990-2019, a change found to be insensitive to whether individual realizations experienced high flows in the recent climate.
最近密苏里河流域的高径流不太可能是由于气候变化
与过去(1960-1989)相比,在最近(1990-2019)的气候中,密苏里河上游(UMRB)和下游(LMRB)10月至9月的径流量分别增加了6%和17%。考虑到北美大平原半永久干旱和/或干旱化的各种预测,径流的增加是出乎意料的。在这里,使用五个瞬态耦合气候模型集合来诊断自然内部变化和人为气候变化对观测到的径流量增加的影响,并预测21世纪中期的UMRB和LMRB径流量。与过去的气候相比,最近观测到的径流量增加并不是由于人为气候变化,而是主要由内部几十年变化的极端发生造成的。高径流量是由大量(主要是内部产生的)降水量增加造成的(UMRB为6%,LMRB为5%),超过了气候变化单独造成的模拟增加量(0-2%的模型间范围)。径流的降水弹性将径流敏感性与最近与过去气候的降水差异联系起来,导致UMRB和LMRB的径流与降水量分别放大了1-3倍和2-4倍。与过去的气候相比,如果没有最近观测到的降水量增加,仅人类造成的约1°C的变暖影响,UMRB和LMRB的径流量很可能分别下降7%和13%。集成模型模拟压倒性地预测,与1990-2019年相比,到2050年,UMRB和LRMB的径流量将降低,这一变化对近期气候中单个实现是否经历高流量不敏感。
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来源期刊
Journal of Applied Meteorology and Climatology
Journal of Applied Meteorology and Climatology 地学-气象与大气科学
CiteScore
5.10
自引率
6.70%
发文量
97
审稿时长
3 months
期刊介绍: The Journal of Applied Meteorology and Climatology (JAMC) (ISSN: 1558-8424; eISSN: 1558-8432) publishes applied research on meteorology and climatology. Examples of meteorological research include topics such as weather modification, satellite meteorology, radar meteorology, boundary layer processes, physical meteorology, air pollution meteorology (including dispersion and chemical processes), agricultural and forest meteorology, mountain meteorology, and applied meteorological numerical models. Examples of climatological research include the use of climate information in impact assessments, dynamical and statistical downscaling, seasonal climate forecast applications and verification, climate risk and vulnerability, development of climate monitoring tools, and urban and local climates.
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