Collaborative Research: RAPID--Characterizing the Water Isotope Signature of an El Nino Event for Paleoclimate and Hydroclimate Studies
Collaborative Research: RAPID--Characterizing the Water Isotope Signature of an El Nino Event for Paleoclimate and Hydroclimate Studies
批准号:
2333173
负责人:
Daniel Ibarra
金额:
$2.86万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-09-15 至 2024-08-31
中文摘要
该项目在快速反应研究方案的主持下获得资金,利用2023-2024水年度强到非常强的厄尔尼诺/南方涛动预报,建立一个纵向降水和溪流取样站阵列,以限制强厄尔尼诺/南方涛动事件的大气水三角洲氧-18、氘过剩和三角洲氧-17信号。研究人员将在一年的时间里每月对降水和溪流进行采样,并分析这些样本的氧和氢同位素。他们还将在2023年秋季和2024年春季收集同一纵向断面上的小溪流沃茨的现场样本,并使用混合单粒子拉格朗日积分轨迹(HYSPLIT)模型模拟降水的来源和途径,同时使用空间统计来生成我们在美国西南部(美国)的稳定同位素结果的isoscape。这项研究是基于这样一个想法,即关于美国西南部干旱和半干旱地区的水文气候(包括降水,蒸散和径流)如何应对二氧化碳上升和气温升高的不确定性仍然存在,因为ENSO在改变美国西南部冬季水文气候方面发挥了巨大作用。 研究中有大量的数据研究ENSO将如何对变暖做出反应,利用全球气候模型(GCM)对未来气候和古气候记录的预测,但这些数据受到很大的限制。美国西南部水文气候的大部分古气候证据及其与ENSO的联系来自过去大气水氧同位素的代理记录,典型的假设是较低的代理三角洲氧-18对应于更大的冬季湿度和向ENSO条件的转变。因此,测试美国西部水文气候对变暖的敏感性及其与ENSO的联系的能力依赖于限制ENSO和美国西部大气水三角洲氧-18之间的关系。然而,对于未来可能主导气候的强ENSO事件,这种因果关系尚未建立。此外,目前还没有数据来了解ENSO如何改变δ氧-17值,这是一个新兴的有前途的分析同位素工具,以限制在碳酸盐和粘土同位素档案的古气候的水分源动力学和蒸发效应的作用。潜在的更广泛的影响,包括支持两个研究生,并提供一个长期的,长期监测数据集,以改进对过去厄尔尼诺/南方涛动事件强度和频率的重建,这将有助于限制在该区域观察到的未来预测所需的变异范围。该研究非常符合RAPID计划潜在的变革性,高风险和快速反应的研究要求。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This project secures funds under the auspices of the Rapid Response Research (RAPID) program to take advantage of the strong-to-very strong El Niño/Southern Oscillation (ENSO) forecast for the water year 2023-2024 to establish a longitudinal array of precipitation and stream sampling stations to constrain the meteoric water delta oxygen-18, deuterium-excess, and delta oxygen-17 signal of a strong ENSO event. The researchers will sample precipitation and stream water monthly over the course of a year and analyze these samples for oxygen and hydrogen isotopes. They will also collect spot samples of small-stream waters across this same longitudinal transect during Fall 2023 and Spring 2024 and simulate the source and pathways of precipitation using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model while using spatial statistics to produce isoscapes of our stable isotope result across the southwestern United States (U.S.).This research is premised on the idea that substantial uncertainty remains regarding how hydroclimate (including precipitation, evapotranspiration and runoff) in the arid and semi-arid southwestern U.S. will respond to rising carbon dioxide and warmer temperatures considering that ENSO plays an outsize role in modifying wintertime southwestern U.S. hydroclimate. There is a large body of data from research that examines how ENSO will change in response to warming, utilizing both Global Climate Model (GCM) projections of future climate and paleoclimate records but these data are poorly constrained. Much of the paleoclimate evidence of southwestern U.S. hydroclimate and its links to the ENSO comes from proxy records of past meteoric water oxygen isotopes, with the typical assumption that lower proxy delta oxygen-18 corresponds with greater wintertime moisture and a shift towards ENSO conditions. Consequently, the ability to test the sensitivity of western U.S. hydroclimate to warming and its links with ENSO relies upon constraining the relationship between the ENSO and meteoric water delta oxygen-18 across the western U.S. This causal link, however, is not well-established for strong ENSO events that may dominate climate in the future. Furthermore, there is currently no data to understand how ENSO modifies delta oxygen-17 values, which is emerging as a promising analytical isotopic tool to constrain the role of moisture source dynamics and evaporative effects in carbonate and clay isotope archives of paleoclimate.The potential broader impacts include supporting two graduate students and providing a long-term monitoring dataset for improving reconstructions of the strength and frequency of ENSO events in the past which will help constrain the range of variability observed in the region necessary for future forecasts. The research fits well into the potentially transformative, high risk, and quick-response research imperative of the RAPID program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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