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23 results for “teleconnection”
Geospatial Input Datasets for Urban Teleconnections Analysis
<p>This dataset includes all of the necessary input layers for the `gamut` software package. Layers were downloaded from the sources in the references and were either directly used in the `gamut` software or processed prior to being used in the software. Processing and data information for each dataset is included in the metadata.</p>
Wildfire and climate teleconnection data in the Western Mediterranean Basin
<p>This dataset contains the data used to conduct all analyses of the manuscript entitled "<strong>Spatio-temporal domains of wildfire-prone teleconnection patterns in the Western Mediterranean Basin</strong>". Submitted to Geophysical Research Letters.</p> <p>File <em>fire_data.csv</em> contains monthly gridded data of total burned area (BA), number of fire ignitions (N) and the 95th percentile of fire size (S) at 0.5 degree spatial resolution. The spatial extent covers Portugal, Spain, Southern France, Corsica and Sardina. Original data sources have been acknowledged in the manuscript file.</p> <p>File <em>teleconnections.csv</em> contains monthly data of the the North Atlantic Oscillation (NAO), the East Atlantic (EA), the Atlantic Multidecadal Oscillation (AMO), the El Niño Southern Oscillation (ENSO), the Mediterranean Oscillation (MOI), the Pacific Decadal Oscillation (PDO), the Scandinavian pattern (SCAND) and the Western Mediterranean oscillation (WeMOi). Original data sources have been acknowledged in the manuscript file.</p>
Macrosystems EDDIE Module 3: Teleconnections
Ecosystems can be influenced by teleconnections, in which meteorological, societal, and/or ecological phenomenon link remote regions via cause and effect relationships. Because it is difficult to predict how ecosystems will respond to drivers from remote regions, many researchers are using models to simulate different teleconnection scenarios and see how ecosystems respond. For example, lake simulation models provide a powerful tool for exploring how lake thermal structure and ice cover respond to climate teleconnections such as the El Nino/Southern Oscillation (ENSO). In this module, students will learn how to set up a lake model and "force" the model with climate scenarios to test hypotheses about how far-away drivers interact with local lake characteristics to affect lake temperatures and ice cover in different lakes. The overarching goal of this module is for students to explore new modeling and computing tools while learning fundamental concepts about how teleconnections affect lake temperatures and ice cover. The A-B-C structure of this module makes it flexible and adaptable to a range of student levels and course structures. This dataset contains instructional materials and the files necessary to run the complete module. Readers are referred to the GLM science manual (Hipsey et al. 2014; 2019) for further details on model configuration.
Data from: A framework for minimizing remote effects of regional climate interventions: Cooling the Great Barrier Reef without teleconnections
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Data from: Teleconnections and local weather orchestrate the reproduction of tit species in the Carpathian Basin
<p>Variation in climatic conditions is an important driving force of ecological processes. Populations are under selection to respond to climatic changes with respect to phenology of the annual cycle (e.g. breeding, migration) and life-history. As teleconnections can reflect climate on a global scale, the responses of terrestrial animals are often investigated in relation to the El Niño-Southern Oscillation and North Atlantic Oscillation. However, investigation of other teleconnections and local climate is often neglected. In this study, we examined over a 33-year period the relationships between four teleconnections (El Niño-Southern Oscillation, North Atlantic Oscillation, Arctic Oscillation, East Atlantic Pattern), local weather parameters (temperature and precipitation) and reproduction in great tits <i>Parus major</i> and blue tits <i>Cyanistes caeruleus</i> in the Carpathian Basin, Hungary. Furthermore, we explored how annual variations in the timing of food availability were correlated with breeding performance. In both species, annual laying date was negatively associated with the Arctic Oscillation. The date of peak abundance of caterpillars was negatively associated with local temperatures in December-January, while laying date was negatively related to January-March temperature. We found that date of peak abundance of caterpillars and laying date of great tits advanced, while in blue tits clutch size decreased over the decades but laying date did not advance. The results suggest that weather conditions during the months that preceded the breeding season, as well as temporally more distant winter conditions, were connected to breeding date. Our results highlight that phenological synchronization to food availability was different between the two tit species, namely it was disrupted in blue tits only. Additionally, the results suggest that in order to find the climatic drivers of the phenological changes of organisms, we should analyze a broader range of global meteorological parameters.</p>
Unsupervised detection of Large-scale Weather Patterns in the Northern Hemisphere via Markov State Modelling: from Blockings to Teleconnections
<p><em><span>Data Source</span></em></p> <p>This dataset is derived from the <em><span>NCEP-NCAR Reanalysis 1</span> data provided by the NOAA PSL, Boulder, Colorado, USA, from their website at <a href="https://psl.noaa.gov/">https://psl.noaa.gov</a></em>., a robust atmospheric dataset that includes a wide range of climatic measurements essential for comprehensive climate analysis. The original data can be accessed at the NOAA Physical Sciences Laboratory website: https://psl.noaa.gov/data/gridded/data.ncep.reanalysis.html.</p> <p> </p>
MIROC6-AGCM dataset for "The Influence of Extratropical Ocean on the PNA Teleconnection: Role of Atmosphere-Ocean Coupling"
<p>MIROC6-AGCM simulation dataset used in the paper “The Influence of Extratropical Ocean on the PNA Teleconnection: Role of Atmosphere-Ocean Coupling" submitted to <em>Geophysical Research Letters</em>. This dataset includes two experimental datasets called "ACLM" and "AHIST". For "AHIST," it is complements data from another repository (<a href="https://doi.org/10.5281/zenodo.10565870" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10565870</a>).</p> <p> </p> <h2><strong>Data Format</strong></h2> <p>All data are 4-byte binary files accompanied by GrADS control file (http://cola.gmu.edu/grads/) to access the data.</p> <p> </p> <h2><strong>Variables</strong></h2> <p>The dataset uploaded includes a 50-member ensemble of winter-mean (December–January­–February) fields for 1980–2020 (a year refers to that including January of each DJF season) over the Northern Hemisphere (0°–360°, 10°–90°N). A part of variables includes data in the tropics (0°–360°, 20S°–90°N).</p> <p>Variables include wind velocities (<em>u, v</em>), pressure velocity (<em>omg</em>), temperature (T), geopotential height (<em>z</em>), eddy momentum (<em>UU</em>, <em>VV</em>, <em>UV</em>), heat (<em>UT</em>, <em>VT</em>), and covariance of height (<em>ZZ</em>) fluxes by transient eddies, 10m wind velocity (<em>u10</em>, <em>v10</em>), 10m wind speed (<em>uvabs</em>), surface pressure (<em>Ps</em>), sensible and latent heat fluxes (<em>sens</em>, <em>evap</em>), precipitation (<em>prcp</em>), cumulus precipitation (<em>prcpc</em>), and precipitation by large-scale condensation (<em>prcpl</em>).</p> <p>The diabatic heating rate consists of only ten ensemble members from 1980-2014. The <em>dtphy</em> is the sum of the diabatic heating terms from different physical processes in the model, which include vertical diffusion (<em>dtvdf</em>), cumulus heating (<em>dtcum</em>), large-scale condensation heating (<em>dtlsc</em>), shallow convection heating (<em>dtscn</em>), cloud physics heating (<em>dtcph</em>), and radiative heating by long wave (<em>dtradl</em>) and short wave (<em>dtrads</em>).</p>
Supporting Data for "Coccolithophore Assemblage Response to Indian Monsoon-ENSO Teleconnections During the Last Century" - AGU Paleoceanography and Paleoclimatology
<p>Data (Tables S1-S3) supporting the manuscript "Coccolithophore Assemblage Response to Indian Monsoon-ENSO Teleconnections During the Last Century". Files are uploaded as .csv format. Below are descriptions of the data generated from this study. In Table S1, the thickness data of von Rad et al. (1999), publicly available in <a href="https://doi.pangaea.de/10.1594/PANGAEA.63129" target="_blank" rel="noopener">PANGAEA,</a> were used to construct the revised core composite stratigraphy for Core SO90-39KG. Please refer to the manuscript for details of the referenced publication.</p> <p> </p> <table> <tbody> <tr> <td>Table</td> <td>Table Description</td> </tr> <tr> <td>S1</td> <td>Revised composite stratigraphy of core SO90-39KG.</td> </tr> <tr> <td>S2</td> <td>Raw count data of all coccolithophore species identified in sediment samples in core SO90-39KG.</td> </tr> <tr> <td>S3</td> <td>Relative abundance data of all coccolithophore species identified in sediment samples in core SO90-39KG.</td> </tr> </tbody> </table>
R code to accompany 'Teleconnection-based evaluation of seasonal forecast quality''
<p>R code for the diagnostic published in 'Teleconnection-based evaluation of seasonal forecast quality' DOI: 10.1007/s00382-020-05327-x</p>
Effect of the Quasi-Biennial Oscillation on the Madden Julian Oscillation teleconnections in the Southern Hemisphere
<p>Perturbation experiments described on the manuscript "Effect of the Quasi-Biennial Oscillation on the Madden Julian Oscillation teleconnections in the Southern Hemisphere" </p>
Data from: Teleconnections and local weather orchestrate the reproduction of tit species in the Carpathian Basin
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Cross-correlation between FWI and climate teleconnections in the Iberian Peninsula
<p>Results from the cross-correlation analysis between FWI and climate teleconnections in the Iberian Peninsula.</p>
Cross-correlation between burned area and climate teleconnections in the Iberian Peninsula
<p>Set of figures and html app showing the cross-correlation results between burned area and climate teleconnections in the Iberian Peninsula.</p>
ENSO--Europe Teleconnection Isca Experiments
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The Enhanced Teleconnection of Maritime Continent Deforestation on North Pacific Climate During La Niña Conditions
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Data for late winter NAO teleconnections
<p>Time series from various climate simulations from various ensembles (CMIP6, PPEs and HighResMIP) and ERA5 reanalysis for various drivers of late winter NAO. Used in Climate Dynamics paper:</p> <p>Effect of resolution on simulated teleconnections to winter North Atlantic circulation inferred from a causal network derived from expert elicitation.</p> <p>David M. H. Sexton<sup>1</sup>, Kuniko Yamazaki<sup>1</sup>, John W. Rostron<sup>1</sup>, Nick J. Dunstone<sup>1</sup>, David R. Fereday<sup>1</sup>, Steven C. Hardiman<sup>1</sup>, Sarah Ineson<sup>1</sup>, Jeff R. Knight<sup>1</sup></p>
Data from "Robust ENSO Teleconnection to North Pacific and Southwest Coast of North America in the Late Cretaceous Greenhouse"
<p>The El Niño-Southern Oscillation (ENSO) exerts impacts on global climate through atmosphere teleconnections. Geological records from deep-time greenhouse periods suggest possible existence of past ENSO teleconnections, but the associated mechanisms for deep-time ENSO teleconnections remain unknown. Here, we investigate the teleconnection between ENSO and the southwest coast of North America (SWNA) during the Late Cretaceous based on paleoclimate simulations and sedimentary archives. We find that under the forcing from high pCO2 levels and absence of the Bering Seaway in Late Cretaceous, ENSO teleconnection to SWNA was primarily conducted by Subtropical High, rather than Aleutian Low. Consequently, the Westerlies, sensitive to changes in Subtropical High, shifted longitudinally, leading to alterations in moisture transportation to SWNA. Our study suggests that absence of Bering Seaway in the Late Cretaceous, resulted in pressure anomalies that partially inhibited the ENSO-SWNA teleconnection, but higher pCO2 levels facilitated this process through a more sensitive mid-latitude pressure system.</p>
Enhanced thermodynamic drivers of recent ENSO teleconnections
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Data and code for GRL submission "Tropical rainfall linked to stronger future ENSO-NAO teleconnection in CMIP5 models"
<p>Data and python code used to plot figures in GRL submission "Tropical rainfall linked to stronger future ENSO-NAO teleconnection in CMIP5 models".</p>
The role of atmospheric transport for El-Nino Southern Oscillation teleconnections
<p>This archive includes the data used for the manuscript "The role of atmospheric transport for El Nino Southern Oscillation teleconnections" submitted to Geophysical Research Letter.</p> <p>All data is available as monthly means. "anomaly"-files include the anomalies between the tagged and untagged air as discussed in the manuscript (see Methods), for specific humidity (<em>hum</em>), potential temperature (<em>theta</em>) and total energy (<em>energy</em>). The mass fraction of the tagged to all the particles is included in <em>mass_frac</em>. The temporal change in total energy (<em>ediv</em>) is available both as 2d and 3d (<em>vertical</em>) for both <em>tagged </em>and <em>untagged </em>particles. Temporal change in height (<em>dz</em>) and potential temperature (<em>dtheta</em>) is included for the tagged air.</p> <p>The data for the Sensitivity study on the selection of timelength is available in the <em>timelength</em>.</p> <p>The data is included for following seasons: <em>DJF </em>(December-January-February), <em>MAM </em>(March-April-May), <em>JJA </em>(June-July-August), <em>SON</em> (September-October-November).</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.