气候变化领域集成服务门户(CCPortal): The utilization of a recursive algorithm to determine trends of soil moisture deficits in the Mid-Atlantic United States

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DOI	10.1007/s10584-020-02898-w
	The utilization of a recursive algorithm to determine trends of soil moisture deficits in the Mid-Atlantic United States
	Smith R.K.; Chang D.-C.
发表日期	2020
ISSN	0165-0009
英文摘要	Climate change models project declining soil moisture levels across the continental US, even in regions with expected increases in annual average precipitation. Although warmer air has been shown to result in more frequent and severe precipitation events, higher vapor pressure deficits are anticipated to result in evapotranspiration rates that exceed the amount of water hitting the soil surface. Numerous analyses have shown rising degrees of aridity in many US locations, even without declining rainfall. The Mid-Atlantic region has less annual rainfall variability and seasonality relative to other areas, and an analysis is presented here examining trends from 1980 to 2019 to determine if the region has become more arid as temperatures have warmed. A comparison of evapotranspiration and precipitation trends cannot adequately answer this question, as the timing of rainfall and soil moisture levels determines how much water is absorbed into the ground and utilized by vegetation. A recursive algorithm is developed to calculate water deficits based on the previous day’s conditions and amount of precipitation received during that day, excluding rainwater falling on saturated soils from being eligible to recharge the water supply available to vegetation. Trends from the algorithm show that soil moisture levels have increased over the past four decades. This equates to lower overall water demand per hectare in the municipal and agricultural sectors. While the trends may change in coming decades, unlike other US regions, the Mid-Atlantic has become wetter as defined within an agricultural and meteorological context. © 2020, The Author(s).
英文关键词	Climate change; Drought; Precipitation; Soil moisture
语种	英语
scopus关键词	Agricultural robots; Agriculture; Climate change; Climate models; Evapotranspiration; Moisture determination; Rain; Vegetation; Water supply; Agricultural sector; Declining rainfall; Precipitation events; Precipitation trends; Recursive algorithms; Saturated soils; Soil moisture deficits; Vapor pressure deficit; Soil moisture
来源期刊	Climatic Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/147285
作者单位	Department of Mathematics and Statistics, Georgetown University, Washington, DC, United States; Graduate Institution of Business Admissions, College of Management, Fu Jen Catholic University, New Taipei City, Taiwan
推荐引用方式 GB/T 7714	Smith R.K.,Chang D.-C.. The utilization of a recursive algorithm to determine trends of soil moisture deficits in the Mid-Atlantic United States[J],2020.
APA	Smith R.K.,&Chang D.-C..(2020).The utilization of a recursive algorithm to determine trends of soil moisture deficits in the Mid-Atlantic United States.Climatic Change.
MLA	Smith R.K.,et al."The utilization of a recursive algorithm to determine trends of soil moisture deficits in the Mid-Atlantic United States".Climatic Change (2020).