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We devise fast algorithms for computing the linear response, which is the parameter-gradient of long-time statistics of hyperbolic chaotic dynamical systems. The algorithm is in the form of progressiv...
In this paper we propose a probabilistic framework for an uncertainty quantification (UQ) study of a carbon cycle model and focus on the comparison between steady-state and transient simulation setups...
Considering a forest cover (Balsam Fir with various densities) we analyze the sensitivity of several vegetation indices to ozone absorption using physical simulations in the spectral bands of MODIS,...
Accurate earthquake source parameters are essential input to tsunami hazard assessment and mitigation, including early warning systems. It is difficult to make accurate assumptions of earthquake sourc...
Phytoplankton size classes (pico-plankton, nano-plankton, and micro-plankton) provide information about pelagic ocean ecosystem structure, and their spatiotemporal variation is crucial in understandin...
Being able to accurately estimate parameters characterising land surface interactions is currently a key scientific priority due to their central role in the Earth’s global energy and water cyc...
To accurately estimate past terrestrial carbon pools is the key to understanding the global carbon cycle and its relationship with the climate system. SoilGen2 is a useful tool to obtain aspects of so...
Photochemical grid models (PGMs) are used to simulate tropospheric ozone and quantify its response to emission changes. PGMs are often applied for annual simulations to provide both maximum concentrat...
The high-order decoupled direct method in three dimensions for particulate matter (HDDM-3D/PM) has been implemented in the Community Multiscale Air Quality (CMAQ) model to enable advanced sensitivity ...
In this work the volcanic ash and SO2 retrievals obtained by applying three different procedures (LUT - Look Up Table, NN - Neural Network and VPR - Volcanic Plume Removal) on MODIS Thermal InfraRed (...
Abstract: This paper studies diffusion processes constrained to the positive orthant, and investigates changes in the steady-state distribution of such diffusions under infinitesimal changes in the dr...
A process-based model BIOME-BGC was run for sensitivity analysis to see the effect of ecophysiological parameters on net primary production (NPP) of dry tropical forest of India. The sensitivity test ...
Data envelopment analysis (DEA) is a method to estimate the relative efficiency of decision-making units ( DMUs) performing similar tasks in a production system that consumes multiple inputs to produc...

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