Cargando…

From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling

The behaviors and skills of models in many geosciences (e.g., hydrology and ecosystem sciences) strongly depend on spatially-varying parameters that need calibration. A well-calibrated model can reasonably propagate information from observations to unobserved variables via model physics, but traditi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Tsai, Wen-Ping, Feng, Dapeng, Pan, Ming, Beck, Hylke, Lawson, Kathryn, Yang, Yuan, Liu, Jiangtao, Shen, Chaopeng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514470/ https://www.ncbi.nlm.nih.gov/pubmed/34645796 http://dx.doi.org/10.1038/s41467-021-26107-z

Ejemplares similares

Integrated Geoscientific Surveys at the Church of Santa Maria della Lizza (Alezio, Italy)
por: De Giorgi, Lara, et al.
Publicado: (2021)

Proceedings of the NATO Advanced Research Workshop on Three-Dimensional Modeling with Geoscientific Information Systems
por: Turner, A
Publicado: (1992)

Mind the Scales: Harnessing Spatial Big Data for Infectious Disease Surveillance and Inference
por: Lee, Elizabeth C., et al.
Publicado: (2016)

Outstanding Geoscientific Sites in Periurban Areas: the Case of Roses Lighthouse Geosite (Cap de Creus, eastern Pyrenees)
por: Druguet, Elena, et al.
Publicado: (2023)

Challenges to rutile-based geoscientific tools: low-temperature polymorphic TiO(2) transformations and corresponding reactive pathways
por: Pinto, André Jorge, et al.
Publicado: (2020)

Harnessing ontology and machine learning for RSO classification
por: Liu, Bin, et al.
Publicado: (2016)

Calibration and analysis of discrete element simulation parameters of Chinese cabbage seeds
por: Wang, Shengsheng, et al.
Publicado: (2022)

Big Bang-maskinen har startet igjen
Publicado: (2009)

Big bang-maskin har startats om
Publicado: (2009)

Big bang-maskinen har satt v rldsrekord
Publicado: (2009)

Neural parameter calibration for large-scale multiagent models
por: Gaskin, Thomas, et al.
Publicado: (2023)

Forskere har genskabt temperaturen lige efter Big Bang
Publicado: (2010)

Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction
por: Venderley, Jordan, et al.
Publicado: (2022)

Harnessing Large-Scale Herbarium Image Datasets Through Representation Learning
por: Walker, Barnaby E., et al.
Publicado: (2022)

Calibration of the Global Flood Awareness System (GloFAS) using daily streamflow data
por: Hirpa, Feyera A., et al.
Publicado: (2018)

Calibration Parameters Database
por: Wojtowski, M, et al.
Publicado: (2006)

Harnessing the biological complexity of Big Data from LINCS gene expression signatures
por: Musa, Aliyu, et al.
Publicado: (2018)

Artificial intelligence in dentistry: Harnessing big data to predict oral cancer survival
por: Hung, Man, et al.
Publicado: (2020)

Parameter calibration of the discrete element simulation model for soaking paddy loam soil based on the slump test
por: Tienan, Zhou, et al.
Publicado: (2023)

The co-creation edge: harnessing big data to transform sales and procurement for business innovation
por: Gouillart, Francis, et al.
Publicado: (2016)

Harnessing Big Data to Optimize an Algorithm for Rapid Diagnosis of Pulmonary Tuberculosis in a Real-World Setting
por: Peng, Jing, et al.
Publicado: (2021)

Bending mechanics test and parameters calibration of ramie stalks
por: Si, Shuning, et al.
Publicado: (2023)

Harness oil and gas big data with analytics: optimize exploration and production with data driven models
por: Holdaway, Keith R
Publicado: (2014)

bigSCale: an analytical framework for big-scale single-cell data
por: Iacono, Giovanni, et al.
Publicado: (2018)

Toward a superconducting quantum computer: Harnessing macroscopic quantum coherence
por: Tsai, Jaw-Shen
Publicado: (2010)

Calibrating the cosmos: How cosmology explains our Big Bang universe
por: Levin, Frank
Publicado: (2006)

Research on calibrating rock mechanical parameters with a statistical method
por: Liu, Zhen, et al.
Publicado: (2017)

Harnessing machine learning for development of microbiome therapeutics
por: McCoubrey, Laura E., et al.
Publicado: (2021)

Scale Space Calibrates Present and Subsequent Spatial Learning in Barnes Maze in Mice
por: Tachiki, Yuto, et al.
Publicado: (2023)

Harnessing learning biases is essential for applying social learning in conservation
por: Greggor, Alison L., et al.
Publicado: (2016)

A test for treatment effects in randomized controlled trials, harnessing the power of ultrahigh dimensional big data
por: Lee, Wen-Chung, et al.
Publicado: (2019)

Harnessing big data for health equity through a comprehensive public database and data collection framework
por: Sabet, Cameron, et al.
Publicado: (2023)

The era of big data: Genome-scale modelling meets machine learning
por: Antonakoudis, Athanasios, et al.
Publicado: (2020)

Simultaneous All-Parameters Calibration and Assessment of a Stereo Camera Pair Using a Scale Bar
por: Sun, Peng, et al.
Publicado: (2018)

Measurement uncertainties: physical parameters and calibration of instruments
por: Gupta, S V
Publicado: (2012)

Momentum scale calibration using resonances
por: Needham, M
Publicado: (2008)

Harnessing Machine-learning to Personalize Cleft Lip Markings
por: Hu, James B., et al.
Publicado: (2020)

Harnessing heterogeneity in space with statistically guided meta-learning
por: Xie, Yiqun, et al.
Publicado: (2023)

Harnessing Big Data for Communicable Tropical and Sub-Tropical Disorders: Implications From a Systematic Review of the Literature
por: Gianfredi, Vincenza, et al.
Publicado: (2018)

Beyond the Scale of Big Data
por: Liu, Huan
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_h2s2j6heged292iju21vh7i0q9