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Niko E C Verhoest

Datos Biográficos

ID6452302
NOMBRENiko E C Verhoest
NOMBRESNiko E C
APELLIDOVerhoest
FIRMAVERHOEST N E C
AFILIACIONESGhent University
ORCID0000-0003-4116-8881
VERIFICADOSí
TOTAL DE OBRAS5
TOTAL DE CITAS0
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2013
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0
  • Compound extreme climate events intensify yield anomalies of winter wheat in France

    Open Access•Baoying Shan, Bernard De Baets et al.•ARTICLE•Environmental Research Letters•2024

    Compound extreme climate events (ECEs) are increasingly recognized for their potential to exacerbate food insecurity risks beyond those posed by isolated events. The notion of ‘compound event’ encompasses not only co-occurring ECEs but also multiple ECEs across (different) growth stages (mECEs). The additional effects of these mECEs on crop yield, particularly considering various types of ECEs and regional scales, remain poorly understood. To clo…

  • GLEAM v3

    Open Access•Brecht Martens, Diego G Miralles et al.•ARTICLE•Geoscientific Model Development•2017

    The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms dedicated to the estimation of terrestrial evaporation and root-zone soil moisture from satellite data. Ever since its development in 2011, the model has been regularly revised, aiming at the optimal incorporation of new satellite-observed geophysical variables, and improving the representation of physical processes. In this study, the next version of this model (v3) is pr…

  • Vegetation anomalies caused by antecedent precipitation in most of the world

    Open Access•Christina Papagiannopoulou, Diego G Miralles et al.•ARTICLE•Environmental Research Letters•2017

    Quantifying environmental controls on vegetation is critical to predict the net effect of climate change on global ecosystems and the subsequent feedback on climate. Following a non-linear Granger causality framework based on a random forest predictive model, we exploit the current wealth of multi-decadal satellite data records to uncover the main drivers of monthly vegetation variability at the global scale. Results indicate that water availabil…

  • Contribution of water-limited ecoregions to their own supply of rainfall

    Open Access•Diego G Miralles, Raquel Nieto et al.•ARTICLE•Environmental Research Letters•2016

    The occurrence of wet and dry growing seasons in water-limited regions remains poorly understood, partly due to the complex role that these regions play in the genesis of their own rainfall. This limits the predictability of global carbon and water budgets, and hinders the regional management of naturalresources. Using novel satellite observations and atmospheric trajectory modelling, we unravel the origin and immediate drivers of growing-season …

  • Reconsidering the role of Thorikos within the Laurion silver mining area (Attica, Greece) through hydrological analyses

    Open Access•Kim Van Liefferinge, Martinus van den Berg et al.•ARTICLE•Journal of Archaeological Science•2013•Referencias: 2

Sin obras prominentes en esta página.

  • Reconsidering the role of Thorikos within the Laurion silver mining area (Attica, Greece) through hydrological analyses

    Open Access•Kim Van Liefferinge, Martinus van den Berg et al.•ARTICLE•Journal of Archaeological Science•2013•Referencias: 2

  • Contribution of water-limited ecoregions to their own supply of rainfall

    Open Access•Diego G Miralles, Raquel Nieto et al.•ARTICLE•Environmental Research Letters•2016

    The occurrence of wet and dry growing seasons in water-limited regions remains poorly understood, partly due to the complex role that these regions play in the genesis of their own rainfall. This limits the predictability of global carbon and water budgets, and hinders the regional management of naturalresources. Using novel satellite observations and atmospheric trajectory modelling, we unravel the origin and immediate drivers of growing-season …

  • GLEAM v3

    Open Access•Brecht Martens, Diego G Miralles et al.•ARTICLE•Geoscientific Model Development•2017

    The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms dedicated to the estimation of terrestrial evaporation and root-zone soil moisture from satellite data. Ever since its development in 2011, the model has been regularly revised, aiming at the optimal incorporation of new satellite-observed geophysical variables, and improving the representation of physical processes. In this study, the next version of this model (v3) is pr…

  • Vegetation anomalies caused by antecedent precipitation in most of the world

    Open Access•Christina Papagiannopoulou, Diego G Miralles et al.•ARTICLE•Environmental Research Letters•2017

    Quantifying environmental controls on vegetation is critical to predict the net effect of climate change on global ecosystems and the subsequent feedback on climate. Following a non-linear Granger causality framework based on a random forest predictive model, we exploit the current wealth of multi-decadal satellite data records to uncover the main drivers of monthly vegetation variability at the global scale. Results indicate that water availabil…

  • Compound extreme climate events intensify yield anomalies of winter wheat in France

    Open Access•Baoying Shan, Bernard De Baets et al.•ARTICLE•Environmental Research Letters•2024

    Compound extreme climate events (ECEs) are increasingly recognized for their potential to exacerbate food insecurity risks beyond those posed by isolated events. The notion of ‘compound event’ encompasses not only co-occurring ECEs but also multiple ECEs across (different) growth stages (mECEs). The additional effects of these mECEs on crop yield, particularly considering various types of ECEs and regional scales, remain poorly understood. To clo…

Environmental Science (5 obras) · Geography (5 obras) · Atmospheric sciences (4 obras) · Climatology (3 obras) · Ecology (3 obras) · Geology (3 obras) · Climate change (2 obras) · Ecosystem (2 obras) · Meteorological Phenomena and Simulations (2 obras) · Meteorology (2 obras)

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