Intensification and Expansion of Soil Moisture Drying in Warm Season Over Eurasia Under Global Warming

Gu, Xihui; Zhang, Qiang; Li, Jianfeng; Singh, Vijay P.; Liu, Jianyu; Sun, Peng; He, Chunyang; Wu, Jianjun

doi:10.1029/2018jd029776

Cited by 40 publications

(25 citation statements)

References 64 publications

(95 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The result shows a power law relationship between the two variables. Similar climatic control on soil moisture has also been reported in previous studies (Gu et al, 2019; Kim & Lakshmi, 2019; Seneviratne et al, 2010). The observed power law relationship indicates that the equilibrium soil moisture is itself an emergent property that presumably reflects the balance between available energy and available water through interactive effects of climate, soil, vegetation, and topography, as indicated by Eagleson (1978), although Eagleson himself did not invoke the aridity index at the time.…”

Section: Resultssupporting

confidence: 88%

Hydrological Basis of the Budyko Curve: Data‐Guided Exploration of the Mediating Role of Soil Moisture

Chen

Sivapalan

2020

Water Resources Research

View full text Add to dashboard Cite

We present a data-guided framework to explore the hydrological basis of the Budyko curve, focusing on the role of soil moisture in mediating the partitioning of precipitation into runoff and evaporation and the role of climate in this partitioning. The conceptual framework for the derivation of the Budyko curve builds on empirically based power law relationships for long-term average scaled runoff (Q/P) and scaled evaporation (E/E p), both as functions of long-term average (equilibrium) soil moisture. A second component of the framework is an empirical power law relationship between equilibrium soil moisture and the aridity index, E p /P. Combinations of these empirical power law relationships with the long-term water balance equation give rise to a form of the Budyko curve, which is a close approximation to Budyko's original relationship and is mathematically similar to the Turc-Pike equation, thus supporting the role of equilibrium soil moisture in giving rise to the Budyko curve. In the remainder of the paper, for special cases of the parameter values of the power law relationships, we independently derive both the soil moisture dependence on E p /P as well as the Budyko curve itself that not only reproduces a new Budyko-type curve, but can also explain the spread of the empirical data points away from the mean curve. The paper also raises fresh questions about how the empirical power law relationships that govern the soil-mediated precipitation partitioning may have emerged and the role of vegetation in that mediation. "…hydrologists be aware that the logic of hydrological processes cannot be deduced from algebra" Vit Klemeŝ (1986) ©2020. American Geophysical Union. All Rights Reserved.

show abstract

Section: Resultssupporting

confidence: 88%

Hydrological Basis of the Budyko Curve: Data‐Guided Exploration of the Mediating Role of Soil Moisture

Chen

Sivapalan

2020

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…6). The main attribution of this soil moisture drying at the global scale, which is consistent with recent soil moisture monitoring efforts (Gu et al, 2019a) is anthropogenic climate change (i.e., land use change, Gu et al, 2019b). This is consistent with previous reports that have found similar results reporting a dominance in previous decades of negative soil moisture trends across the world that were detected using field and satellite soil moisture measurements (Albergel et al, 2013).…”

Section: Discussionsupporting

confidence: 91%

Gap-Free Global Annual Soil Moisture: 15km Grids for 1991–2016

Guevara

Taufer

Vargas

2019

Preprint

View full text Add to dashboard Cite

Abstract. Soil moisture is key for quantifying soil-atmosphere interactions and the ESA-CCI (European Space Agency Climate Change Initiative) provides historical (> 30 years) satellite soil moisture gridded data at the global scale. We evaluate an alternative approach to increase the spatial resolution of the original ESA-CCI soil moisture measurements from 27 km to 15 km grids by coupling machine learning (ML) algorithms with information from digital terrain analysis at the global scale. We modeled mean annual ESA-CCI soil moisture values across 26 years of available data (1991–2016) using a ML based kernel method and multiple terrain parameters (e.g., slope, wetness index) as prediction factors. We used ground information from the International Soil Moisture Network (ISMN, n = 13376) for evaluating soil moisture predictions. We provide gap-free mean annual soil moisture predictions, which increase by nearly 50 % the spatial resolution of ESA-CCI soil moisture product. Our predictions showed a statistical accuracy varying 0.69–0.87 % and 0.04 m3/m3 of cross-validated explained variance and root mean squared error (RMSE). We found no significant differences between the ESA-CCI and our predictions, but we found discrepancy between multiple evaluation metrics (e.g., bias vs efficiency) comparing the ESA-CCI with the ISMN. We found a negative bias (−0.01 to −0.08 m3/m3) between the values of ISMN when comparing with the ESA-CCI and our predictions across the analyzed years. A temporal analysis, using a robust trend detection strategy (i.e., Theil-Sen estimator), suggests a decline of soil moisture at the global scale that is consistent in both gridded datasets and field measurements of soil moisture varying from −0.7[−0.77, −0.62] % in the ESA-CCI product, −0.9[−1.01, −0.8] % in the downscaled predictions, and −1.6 [−1.7, −1.5] % in the ISMN. The soil moisture predictions provided here (http://www.hydroshare.org/resource/b940b704429244a99f902ff7cb30a31f) could be useful for quantifying soil moisture spatial and temporal dynamics across areas with low availability of soil moisture information in the original ESA-CCI database.

show abstract

“…3f). Soils have also become increasingly dry in response to atmospheric warming 133 . The industrial agricultural system consumes ~10 units of energy for each unit of food energy produced 143 ; the result has been a major increase in carbonaceous fly-ash in natural archives across the world since the 1950s 144 .…”

Section: A Holocene History Of the Human Footprintmentioning

confidence: 99%

Extraordinary human energy consumption and resultant geological impacts beginning around 1950 CE initiated the proposed Anthropocene Epoch

Syvitski

Waters

Day

et al. 2020

Commun Earth Environ

163

122

View full text Add to dashboard Cite

Growth in fundamental drivers—energy use, economic productivity and population—can provide quantitative indications of the proposed boundary between the Holocene Epoch and the Anthropocene. Human energy expenditure in the Anthropocene, ~22 zetajoules (ZJ), exceeds that across the prior 11,700 years of the Holocene (~14.6 ZJ), largely through combustion of fossil fuels. The global warming effect during the Anthropocene is more than an order of magnitude greater still. Global human population, their productivity and energy consumption, and most changes impacting the global environment, are highly correlated. This extraordinary outburst of consumption and productivity demonstrates how the Earth System has departed from its Holocene state since ~1950 CE, forcing abrupt physical, chemical and biological changes to the Earth’s stratigraphic record that can be used to justify the proposal for naming a new epoch—the Anthropocene.

show abstract

Intensification and Expansion of Soil Moisture Drying in Warm Season Over Eurasia Under Global Warming

Cited by 40 publications

References 64 publications

Hydrological Basis of the Budyko Curve: Data‐Guided Exploration of the Mediating Role of Soil Moisture

Hydrological Basis of the Budyko Curve: Data‐Guided Exploration of the Mediating Role of Soil Moisture

Gap-Free Global Annual Soil Moisture: 15km Grids for 1991–2016

Extraordinary human energy consumption and resultant geological impacts beginning around 1950 CE initiated the proposed Anthropocene Epoch

Contact Info

Product

Resources

About