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Yuting Yang

Researcher at Tsinghua University

Publications -  95
Citations -  5764

Yuting Yang is an academic researcher from Tsinghua University. The author has contributed to research in topics: Evapotranspiration & Climate change. The author has an hindex of 34, co-authored 76 publications receiving 3308 citations. Previous affiliations of Yuting Yang include Australian Research Council & Commonwealth Scientific and Industrial Research Organisation.

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Quantifying the impacts of climate change and ecological restoration on streamflow changes based on a Budyko hydrological model in China's Loess Plateau

TL;DR: Wang et al. as discussed by the authors used elasticity and decomposition methods based on the Budyko framework to explore the streamflow response to different driving factors during the period 1961-2009.
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Coupled estimation of 500 m and 8-day resolution global evapotranspiration and gross primary production in 2002-2017

TL;DR: In this article, the authors estimate 8-day global evapotranspiration and gross primary production at 500m resolution from July 2002 to December 2017 using a coupled diagnostic biophysical model (called PML-V2) built using Google Earth Engine, taking MODIS data (leaf area index, albedo, and emissivity) together with GLDAS meteorological forcing data as model inputs.
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Drought and flood monitoring for a large karst plateau in Southwest China using extended GRACE data

TL;DR: In this article, the authors show that both the frequency and severity of droughts and floods over the plateau are intensified during therecent decade from three-decade total water storage anomalies (TWSA) generated by Gravity Recovery andClimate Experiment (GRACE) satellite data and artificial neural network (ANN) models.
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Contrasting responses of water use efficiency to drought across global terrestrial ecosystems

TL;DR: The first global synthesis of the drought effect on ecosystem water use efficiency (WUE) and a contrasting response of WUE to drought between arid and semi-arid/sub-humid ecosystems is found, which is attributed to different sensitivities of ecosystem processes to changes in hydro-climatic conditions.
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Hydrologic implications of vegetation response to elevated CO2 in climate projections

TL;DR: In this article, a modification to the Penman-Monteith equation was proposed to account for vegetation response to an elevated atmospheric CO2 concentration in offline impact models, which reconciles contradictions between dryness and modelled runoff projections.