What is global photosynthesis? History, uncertainties and opportunities
Quantifying global terrestrial photosynthesis is essential to understanding the global carbon
cycle and the climate system. Remote sensing has played a pivotal role in advancing our …
cycle and the climate system. Remote sensing has played a pivotal role in advancing our …
Multiscale modeling of materials: Computing, data science, uncertainty and goal-oriented optimization
The recent decades have seen various attempts at accelerating the process of developing
materials targeted towards specific applications. The performance required for a particular …
materials targeted towards specific applications. The performance required for a particular …
Integration of MODIS land and atmosphere products with a coupled‐process model to estimate gross primary productivity and evapotranspiration from 1 km to global …
We propose the Breathing Earth System Simulator (BESS), an upscaling approach to
quantify global gross primary productivity and evapotranspiration using MODIS with a spatial …
quantify global gross primary productivity and evapotranspiration using MODIS with a spatial …
Data‐driven computing in dynamics
T Kirchdoerfer, M Ortiz - International Journal for Numerical …, 2018 - Wiley Online Library
We formulate extensions to data‐riven computing for both distance‐minimizing and entropy‐
maximizing schemes to incorporate time integration. Previous works focused on formulating …
maximizing schemes to incorporate time integration. Previous works focused on formulating …
AAS WorldWide telescope: a seamless, cross-platform data visualization engine for astronomy research, education, and democratizing data
P Rosenfield, J Fay, RK Gilchrist, C Cui… - The Astrophysical …, 2018 - iopscience.iop.org
Abstract The American Astronomical Society's WorldWide Telescope (WWT) project enables
terabytes of astronomical images, data, and stories to be viewed and shared among …
terabytes of astronomical images, data, and stories to be viewed and shared among …
Cloud computing for integrated stochastic groundwater uncertainty analysis
One of the major scientific challenges and societal concerns is to make informed decisions
to ensure sustainable groundwater availability when facing deep uncertainties. A major …
to ensure sustainable groundwater availability when facing deep uncertainties. A major …
Environmental informatics
Environmental informatics uses large multidimensional, complex datasets to study
environmental problems, which can be both discrete and continuous in space or time. These …
environmental problems, which can be both discrete and continuous in space or time. These …
[HTML][HTML] Ideas and perspectives: Enhancing research and monitoring of carbon pools and land-to-atmosphere greenhouse gases exchange in developing countries
DG Kim, B Bond-Lamberty, Y Ryu, B Seo… - …, 2022 - bg.copernicus.org
Carbon (C) and greenhouse gas (GHG) research has traditionally required data collection
and analysis using advanced and often expensive instruments, complex and proprietary …
and analysis using advanced and often expensive instruments, complex and proprietary …
Design of intelligent acquisition system for moving object trajectory data under cloud computing
Y Zhang, A Asthana, S Asthana, S Khanna… - Journal of Intelligent …, 2021 - degruyter.com
In order to study the intelligent collection system of moving object trajectory data under cloud
computing, information useful to passengers and taxi drivers is collected from massive …
computing, information useful to passengers and taxi drivers is collected from massive …
[图书][B] Data-driven computing
T Kirchdoerfer, M Ortiz - 2018 - Springer
Abstract Data-Driven Computing is a new field of computational analysis which uses
provided data to directly produce predictive outcomes. Recent works in this developing field …
provided data to directly produce predictive outcomes. Recent works in this developing field …