Examining the Relationship between Drought Development and Rapid Changes in the Evaporative Stress Index

Otkin, Jason A.; Anderson, Martha C.; Hain, Christopher; Svoboda, Mark D.

doi:10.1175/jhm-d-13-0110.1

Cited by 125 publications

(85 citation statements)

References 38 publications

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“…The ESI has been shown to agree well with other drought indicators like the U.S. Drought Monitor (USDM) and Standardized Precipitation Index (SPI), but can be developed at significantly higher spatial resolution -constrained primarily by the resolution of the TIR inputs (Anderson et al, 2011. The ESI also has capabilities for early warning of rapid drought onset (or "flash drought") events (Otkin et al, 2018), conveyed by thermal signals of elevated canopy and soil temperatures that precede visible degradation in the vegetation canopy (Otkin et al, , 2014Anderson et al, 2011Anderson et al, , 2013. Correlations between ESI and reported crop yields have been investigated in the U.S. (Otkin et al, 2016;Mladenova et al, 2017), Brazil (Anderson et al, 2016a), and the Czech Republic (Anderson et al, 2016b), demonstrating capacity to explain regional yield variability in water limited crop growing regions, in many cases providing higher correlations than vegetation index or precipitation anomalies.…”

Section: Introductionmentioning

confidence: 82%

Field-scale mapping of evaporative stress indicators of crop yield: An application over Mead, NE, USA

Yang

Anderson

Gao

et al. 2018

Remote Sensing of Environment

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Section: Introductionmentioning

confidence: 82%

Field-scale mapping of evaporative stress indicators of crop yield: An application over Mead, NE, USA

Yang

Anderson

Gao

et al. 2018

Remote Sensing of Environment

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“…Others have been developed for broader-scale application and are built on physical relationships describing the water and energy transfer at the land surface (Norman et al, 1995;Su, 2002;Fisher et al, 2008;Miralles et al, 2011a). While traditional applications of evaporation estimates have been directed towards agricultural monitoring (Allen, 2000), catchment water budgets and basin-scale water management (Kustas et al, 1994;Granger, 2000), more recent applications of evaporation products have included detection and prediction of heatwaves Miralles et al, 2014a), droughts (Mu et al, 2012;Otkin et al, 2014) and in resolving the likely contribution of human-induced climate change on such events (Greve et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

The GEWEX LandFlux project: evaluation of model evaporation using tower-based and globally gridded forcing data

McCabe

Ershadi

Jiménez³

et al. 2016

Geosci. Model Dev.

143

132

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Abstract. Determining the spatial distribution and temporal development of evaporation at regional and global scales is required to improve our understanding of the coupled water and energy cycles and to better monitor any changes in observed trends and variability of linked hydrological processes. With recent international efforts guiding the development of long-term and globally distributed flux estimates, continued product assessments are required to inform upon the selection of suitable model structures and also to establish the appropriateness of these multi-model simulations for global application. In support of the objectives of the Global Energy and Water Cycle Exchanges (GEWEX) LandFlux project, four commonly used evaporation models are evaluated against data from tower-based eddy-covariance observations, distributed across a range of biomes and climate zones. The selected schemes include the Surface Energy Balance System (SEBS) approach, the Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model, the PenmanMonteith-based Mu model (PM-Mu) and the Global Land Evaporation Amsterdam Model (GLEAM). Here we seek to examine the fidelity of global evaporation simulations by examining the multi-model response to varying sources of forcing data. To do this, we perform parallel and collocated model simulations using tower-based data together with a global-scale grid-based forcing product. Through quantifying the multi-model response to high-quality tower data, a better understanding of the subsequent model response to the coarse-scale globally gridded data that underlies the LandFlux product can be obtained, while also providing a relative evaluation and assessment of model performance.Using surface flux observations from 45 globally distributed eddy-covariance stations as independent metrics of performance, the tower-based analysis indicated that PT-JPL provided the highest overall statistical performance (0.72; 61 W m −2 ; 0.65), followed closely by GLEAM (0.68; 64 W m −2 ; 0.62), with values in parentheses representing the R 2 , RMSD and Nash-Sutcliffe efficiency (NSE), respectively. PM-Mu (0.51; 78 W m −2 ; 0.45) tended to underestimate fluxes, while SEBS (0.72; 101 W m −2 ; 0.24) overestimated values relative to observations. A focused analysis across specific biome types and climate zones showed considerable variability in the performance of all models, with no single model consistently able to outperform any other. Results also indicated that the global gridded data tended to reduce the performance for all of the studied models when compared to the tower data, likely a response to scale mismatch and issues related to forcing quality. Rather than relying on any single model simulation, the spatial and temporal variability at both the tower-and grid-scale highlighted the potential benefits of developing an ensemble or blended evaporation product for global-scale LandFlux applications. Challenges related to the robust assessment of the LandFlux product are also discussed.

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“…1), and study regions (Anderson et al, 2011;Choi et al, 2011;French et al, 2015). The TSEB has been incorporated into observational ET systems (Otkin et al, 2014). Along with the TSEB, other modeling approaches have used satellite inputs to parameterize E and T using a variety of models, including Penman-Monteith (Cleugh et al, 2007;Mu et al, 2011) and the Soil-Water-Atmosphere-Plant model (Kroes et al, 2000).…”

Section: Advances In Remote Sensing Of Partitioned Fluxesmentioning

confidence: 99%

Measurement and Partitioning of Evapotranspiration for Application to Vadose Zone Studies

Anderson

Zhang

Skaggs

2017

Vadose Zone Journal

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Partitioning evapotranspiration (ET) into its constituent components, evaporation (E) and transpiration (T), is important for numerous hydrological purposes including assessing impacts of management practices on water use efficiency and improved validation of vadose zone models that parameterize E and T separately. However, most long-established observational techniques have short observational timescales and spatial footprints, raising questions about the representativeness of these measurements. In the past 15 yr, new approaches have allowed ET partitioning at spatial scales ranging from the pedon to the globe and at long timescales. In this update, we review some recent methodological developments for partitioning ET. These include micrometeorological approaches involving the flux variance partitioning of high-frequency eddy covariance observations and proxies for photosynthesis and transpiration such as measurements of isotopic fractionation and carbonyl sulfide uptake. We discuss advances in partitioning the energy balance between canopy and soil using remote sensing. We conclude that the flux variance partitioning with raw eddy covariance data and the two-source energy balance approaches with remote sensing platforms may have the greatest potential for partitioning ET, in part because large public repositories of eddy covariance and satellite data could be readily reprocessed to partition ET.Abbreviations: COS, carbonyl sulfide; CRDS, cavity ring-down spectroscopy; ECV, eddy covariance; ET, evapotranspiration; FVP, flux variance partitioning; ICOS, integrated cavity output spectroscopy; TSEB, two-source energy balance; UAV, unmanned aerial vehicle; WUE, water use efficiency.Evapotranspiration (ET) is one of the largest hydrologic fluxes on Earth, accounting for approximately 60% of terrestrial precipitation globally (Haddeland et al., 2011) or about 6.5 to 6.8 ´ 10 4 km 3 water yr −1 (Oki and Kanae, 2006;Jung et al., 2010;Miralles et al., 2011). Evapotranspiration is clearly one of the most important boundary conditions for vadose zone studies, and it is well recognized that there are numerous controls on the amount of ET, including meteorological and vegetation conditions (Williams et al., 2012;Puma et al., 2013) and soil moisture Jung et al., 2010). Depending on the temporal and spatial scale, ET can be observed with a wide variety of techniques including lysimetry (Gee and Hillel, 1988;Poss et al., 2004;Johnson et al., 2005), micrometeorology (including eddy covariance) (Snyder et al., 1996;Todd et al., 2000;Hemakumara et al., 2003;Williams et al., 2004), satellite remote sensing (Bastiaanssen et al., 1998;Allen et al., 2007;Senay et al., 2013), water balance (Wilson et al., 2001;Zeng et al., 2014), or a combination approach (Nagler et al., 2005;Anderson and Goulden, 2009;Goulden et al., 2012;Zhang et al., 2015). Evapotranspiration can be modeled with a variety of models, ranging from complex, mechanistic equations (Monteith, 1965) to simple, empirical formulae (Makkink, 1957;Hargreaves and Samani, 1985...

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Examining the Relationship between Drought Development and Rapid Changes in the Evaporative Stress Index

Cited by 125 publications

References 38 publications

Field-scale mapping of evaporative stress indicators of crop yield: An application over Mead, NE, USA

Field-scale mapping of evaporative stress indicators of crop yield: An application over Mead, NE, USA

The GEWEX LandFlux project: evaluation of model evaporation using tower-based and globally gridded forcing data

Measurement and Partitioning of Evapotranspiration for Application to Vadose Zone Studies

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