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Fast regridding of large, complex geospatial datasets

J. D. Blower, A. Clegg
2011 Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications - COM.Geo '11  
We present a mechanism for the fast regridding of such datasets, based upon the construction of a spatial index that allows fast searching of the source grid.  ...  For large datasets with complex grids the new mechanism is shown to significantly outperform algorithms used in many scientific visualization packages.  ...  DISCUSSION AND CONCLUSIONS We have shown that it is possible to regrid large, complex data in a matter of seconds or less, allowing for regridding to be performed "on the fly" in an interactive graphical  ... 
doi:10.1145/1999320.1999350 dblp:conf/comgeo/BlowerC11 fatcat:u5kj7lf22baobnrienwhilorky

Using the FACE-IT portal and workflow engine for operational food quality prediction and assessment: An application to mussel farms monitoring in the Bay of Napoli, Italy

Raffaele Montella, Alison Brizius, Diana Di Luccio, Cheryl Porter, Joshua Elliot, Ravi Madduri, David Kelly, Angelo Riccio, Ian Foster
2018 Future generations computer systems  
We describe how FACE-IT workflows can be used to couple many simulation/prediction models, leveraging high-performance and cloud computing resources to enable fast full system modeling in order to produce  ...  In an operational scenario, the model chain, orchestrated in a workflow fashion, produces a huge amount of predicted spatially-referenced (big) data.  ...  This integrated data processing and simulation framework enables data ingest from geospatial archives; data regridding, aggregation, and other processing prior to simulation; large-scale climate impact  ... 
doi:10.1016/j.future.2018.03.002 fatcat:jmun63v2o5hprku2dbqdcxh4aa

Addressing the big-earth-data variety challenge with the hierarchical triangular mesh

Michael L. Rilee, Kwo-Sen Kuo, Thomas Clune, Amidu Oloso, Paul G. Brown, Hongfeng Yu
2016 2016 IEEE International Conference on Big Data (Big Data)  
Grid, Swath, and Point, used by current ES data products, data preparation time for integrative analysis of diverse datasets can be drastically reduced and better variety scaling can be achieved.  ...  Moreover, our updated HTM encoding turns most geospatial set operations into integer interval operations, gaining further performance advantages.  ...  The SDSS/HTM we have extended has an efficient and fast skip list-based implementation of sets (called ranges in the code) of HTM integer intervals for handling complex geometric regions [14] .  ... 
doi:10.1109/bigdata.2016.7840700 dblp:conf/bigdataconf/RileeKCOBY16 fatcat:7tdpg4y4xbe23jxgw65ldjegqu

Ocean Science Data Analytics using Apache Science Data Analytics Platform

Thomas Huang
2018 Zenodo  
requestor has to access • Enterprise geospatial indexed search cluster for fast lookup.  ...  large-scale data processing on clusters of commodity servers.  ... 
doi:10.5281/zenodo.5236981 fatcat:mlnlvhewmfe5femchc6d2vdxfa

Gridspec: A standard for the description of grids used in Earth System models [article]

Venkatramani Balaji and Alistair Adcroft and Zhi Liang
2019 arXiv   pre-print
forecast skill of medium- and long-term forecasts.  ...  The representation of gridded data is a critical element in describing the contents of model output. We seek here to propose a standard for describing the grids on which such data are discretized.  ...  the tile as a string to avoid using the derived or complex types of netCDF-4.  ... 
arXiv:1911.08638v1 fatcat:76waiax37betbm4finenoyelau

The Reference Elevation Model of Antarctica

Ian M. Howat, Claire Porter, Benjamin E. Smith, Myoung-Jong Noh, Paul Morin
2019 The Cryosphere  
</strong> The Reference Elevation Model of Antarctica (REMA) is the first continental-scale digital elevation model (DEM) at a resolution of less than 10&amp;thinsp;m.  ...  The higher spatial and radiometric resolutions of this imagery enable high-quality surface extraction over the low-contrast ice sheet surface.  ...  This work was supported by US National Science Foundation Office of Polar Programs grants 1543501 to Ian M. Howat and 1559691 to Paul Morin.  ... 
doi:10.5194/tc-13-665-2019 fatcat:fzkljtq2urepnkkwcg4cx2w3vy

Spherical Harmonic Spectral Estimation on Arbitrary Grids

Nicholas R. Cavanaugh, Travis A. O'Brien, William D. Collins, William C. Skamarock
2017 Monthly Weather Review  
This study explores the use of nonuniform fast spherical Fourier transforms on meteorological data that are arbitrarily distributed on the sphere.  ...  The applicability of this methodology in the atmospheric sciences is demonstrated by estimating spectral coefficients for nontrivial subsets of reanalysis data on a uniformly spaced latitude-longitude  ...  This research was supported by the Director, Office of Science, Office of Biological and Environmental Research of the U.S.  ... 
doi:10.1175/mwr-d-16-0259.1 fatcat:72cjkjctavevfjzbkjfloy4eiu

Cross-Covariance Models [chapter]

2017 Encyclopedia of GIS  
Efficient tools for extracting information from geo-spatial data are crucial to organizations which make decisions based on large spatial datasets, including the National Aeronautics and Space Administration  ...  The complexity of spatial data and intrinsic spatial relationships limits the usefulness of conventional data mining techniques for extracting spatial patterns.  ...  geospatial datasets.  ... 
doi:10.1007/978-3-319-17885-1_100240 fatcat:2ojzb7es7rhofinw4abol6dgc4

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
2019 Zenodo  
During the development of deep learning algorithms, a key activity is to establish a large amount of referenced Earth Observation data.  ...  This approach is also a simple way to generate benchmarking datasets that can be used for testing and validating different algorithms, and for creating additional bigger datasets for large-scale demonstrations  ...  This research shows that cartographic science with the latest modern technologies and appropriate visualization will find its place in the large aspects of tasks of Digital Earth, early warning and disaster  ... 
doi:10.5281/zenodo.3941573 fatcat:zzifwgljifck5bpjnboetsftfu

EMODnet Physics Metadata Format Specifications

Novellino, Alba
2020 Zenodo  
Metadata requires the use of standardized sets of terms to solve problem with ambiguities The collection and management of marine data metadata is a complex step-wise process that include identification  ...  The acquisition of near real-time physical parameters is largely an automated process: EMODnet Physics collects data from a network of providers and integrators (CMEMS INSTAC, global and regional assembly  ... 
doi:10.5281/zenodo.4114543 fatcat:vp47cntionhzphna7brtoblma4

EMODnet Physics Metadata Format Specifications

Novellino, Alba
2020 Zenodo  
Metadata requires the use of standardized sets of terms to solve problem with ambiguities The collection and management of marine data metadata is a complex step-wise process that include identification  ...  The acquisition of near real-time physical parameters is largely an automated process: EMODnet Physics collects data from a network of providers and integrators (CMEMS INSTAC, global and regional assembly  ... 
doi:10.5281/zenodo.4001637 fatcat:aehfmwxet5hipn36vwms7iewcq

The Norwegian National Ground Segment; Preservation, Distribution and Exploitation of Sentinel Data

Trygve Halsne, Lara Ferrighi, Bard Saadatnejad, Nico Budewitz, Frode Dinessen, Lars-Anders Breivik, Øystein Godøy
2019 Data Science Journal  
Using the latter format, services like regridding, subsetting, visualization and aggregation are integrated utilizing OPeNDAP in combination with OGC WMS and OGC WPS.  ...  In order to take advantage of the Sentinel program, the Norwegian Space Agency decided to establish a national collaborative ground segment for satellite data with the purpose of simplifying data access  ...  Also, creation of virtual datasets by means of aggregation, i.e. combining multiple datasets, and/or subsetting of a potentially large dataset, becomes readily possible (Hankin et al. 2018) .  ... 
doi:10.5334/dsj-2019-061 fatcat:lgf6txartnf7xpvqergrki4p7i

Chemical Mechanisms and Their Applications in the Goddard Earth Observing System (GEOS) Earth System Model

J. Eric Nielsen, Steven Pawson, Andrea Molod, Benjamin Auer, Arlindo M. da Silva, Anne R. Douglass, Bryan Duncan, Qing Liang, Michael Manyin, Luke D. Oman, William Putman, Susan E. Strahan (+1 others)
2017 Journal of Advances in Modeling Earth Systems  
Samples of recent GEOS chemistry applications are provided.  ...  This manuscript describes the atmospheric chemistry components of GEOS and provides an overview of its Earth System Modeling Framework (ESMF)-based software infrastructure, which promotes a rich spectrum  ...  Acknowledgments GEOS and the GMAO are supported by NASA's Modeling, Analysis, and Prediction Program under the direction of Dr. David Considine.  ... 
doi:10.1002/2017ms001011 pmid:29497478 pmcid:PMC5815385 fatcat:exbp4xms75fvjlgxoznoksgr5y

A systematic review and meta-analysis of Digital Elevation Model (DEM) fusion: pre-processing, methods and applications [article]

Chukwuma Okolie, Julian Smit
2022 arXiv   pre-print
It takes advantage of the complementary characteristics of multi-source DEMs to deliver a more complete, accurate and reliable elevation dataset.  ...  This review is a timely solution and an invaluable source of information for researchers within the fields of remote sensing and spatial information science, and the data fusion community at large.  ...  Matthew Page from Monash University Australia (co-lead of the 2020 update of the PRISMA guidelines) for his helpful feedback on our review methodology.  ... 
arXiv:2203.15026v1 fatcat:rpobo2oxyfhv7olwe2d653dklu

Forecasting global fire emissions on sub‐seasonal to seasonal (S2S) timescales

Yang Chen, James T. Randerson, Shane R. Coffield, Efi Foufoula‐Georgiou, Padhraic Smyth, Casey A. Graff, Douglas C. Morton, Niels Andela, Guido R. Werf, Louis Giglio, Lesley E. Ott
2020 Journal of Advances in Modeling Earth Systems  
The forecast system took into account information about region-specific seasonality, long-term trends, recent fire observations, and climate drivers representing both large-scale climate variability and  ...  We cross-validated the forecast skill of the system with different combinations of predictors and forecast lead times.  ...  Emissions Database Version 4s (GFED4s), available at the GFED website (http:// and archived at the NASA ORNL DAAC; (2) Ocean Climate Indices (OCIs), available at the NOAA state of  ... 
doi:10.1029/2019ms001955 pmid:33042387 pmcid:PMC7540459 fatcat:7f2qhtxdlbg3nc2qaujgmudxri
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