Results 11 to 20 of about 7,934,994 (308)

Sensitivity of Global Pasturelands to Climate Variation [PDF]

open access: yesEarth's Future, 2019
Pasturelands are globally extensive, sensitive to climate, and support livestock production systems that provide an essential source of food in many parts of the world. In this paper, we integrate information from remote sensing, global climate, and land
Radost Stanimirova   +6 more
doaj   +5 more sources

Price Sensitivity on the Global Wheat Market

open access: yesZagadnienia Ekonomiki Rolnej
This article concerns the issue of price sensitivity on the global wheat market, understood as the ratio of the change in prices to the change in the volume of harvests and stocks as supply variables.
Łopaciuk Wiesław, Rembisz Włodzimierz
doaj   +3 more sources

Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea : factors affecting the biomass of fish and benthos [PDF]

open access: yes, 2014
Comprehensive analysis of parameter and driver sensitivity is key to establishing the credibility of models of complex systems. This is especially so for models of natural systems where experimental manipulation of the real-world to provide controlled ...
Speirs, Douglas   +7 more
core   +4 more sources

Global Sensitivity Analysis and Wasserstein Spaces [PDF]

open access: yesSIAM/ASA Journal on Uncertainty Quantification, 2021
Sensitivity indices are commonly used to quantity the relative inuence of any specic group of input variables on the output of a computer code. In this paper, we focus both on computer codes the output of which is a cumulative distribution function and on stochastic computer codes.
Fort, Jean-Claude   +2 more
openaire   +6 more sources

Global sensitivity analysis in epidemiological modeling. [PDF]

open access: yesEur J Oper Res, 2023
Operations researchers worldwide rely extensively on quantitative simulations to model alternative aspects of the COVID-19 pandemic. Proper uncertainty quantification and sensitivity analysis are fundamental to enrich the modeling process and communicate correctly informed insights to decision-makers.
Lu X, Borgonovo E.
europepmc   +5 more sources

Fairness seen as global sensitivity analysis

open access: yesMachine Learning, 2022
Ensuring that a predictor is not biased against a sensible feature is the key of Fairness learning. Conversely, Global Sensitivity Analysis is used in numerous contexts to monitor the influence of any feature on an output variable. We reconcile these two domains by showing how Fairness can be seen as a special framework of Global Sensitivity Analysis ...
Bénesse, Clément   +3 more
openaire   +5 more sources

Climate sensitivity: What is it, and why is it important? [PDF]

open access: yes, 2020
Climate sensitivity is a fundamental measure of global climate change. This briefing paper explains how climate sensitivity is estimated from different lines of evidence – modelling, observations, and palaeoclimate records – and why its exact value ...
Ceppi, paulo, Gregory, Jonathan
core   +1 more source

Sensitivity for global shape detection

open access: yesJournal of Vision, 2003
In order to understand the nature of the mechanisms responsible for global shape detection, we measured coherence thresholds in a 2IFC task where subjects judged which of two arrays of Gabors contained global circular structure. The stimulus was composed of an array of oriented Gabor patches positioned on a polar grid.
Rebecca L, Achtman   +2 more
openaire   +2 more sources

Global Microphysical Sensitivity of Superparameterized Precipitation Extremes

open access: yesEarth and Space Science, 2021
A recent study found statistically significant differences in extreme precipitation distributions over the contiguous United States (CONUS) when changing the microphysics scheme in a superparameterized global climate model.
Alexander B. Charn   +3 more
doaj   +1 more source

Climate System: A Global Sensitivity Approach

open access: yesIranian Journal of Science, 2023
This article is a first attempt to develop a numerical approach to solving differential equations based on Galerkin projections and extensions of polynomial chaos to analyze the sensitivity of input parameters in the Lorenz-Stenflo climate model. The sensitivity analysis was undertaken to measure the influence of key parameters (chemical properties of ...
Liban Ismail   +2 more
openaire   +2 more sources

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