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2,170 results for “clouds”
Supplement to the manuscript "Overcoming computational challenges to realize meter-to-submeter-scale resolution in cloud simulations using super-droplet method" (Matsushima et al., 2023)
<p>Supplemental codes, figures, movies, and datasets to the manuscript "Overcoming computational challenges to realize meter-to-submeter-scale resolution in cloud simulations using super-droplet method" (Matsushima et al., 2023)</p> <p>See README.md for more details.</p>
Stellar properties of observed stars stripped in binaries in the Magellanic Clouds - Spectral Models
<p>This Zenodo repository is one of three Zenodo repositories related to the article "Stellar properties of observed stars stripped in binaries in the Magellanic Clouds" by Y. Götberg, M.R. Drout, A.P. Ji, J.H. Groh, B.A. Ludwig, P.A. Crowther, N. Smith, A. de Koter, and S.E. de Mink. In the article, we analyze the optical spectra of ten stars and measure their stellar properties using spectral fitting. This repository contains the full spectral model grid computed using the 1D non-LTE radiative transfer code CMFGEN (see Hillier & Miller 1998 and http://kookaburra.phyast.pitt.edu/hillier/web/CMFGEN.htm). The grid spans three parameters: temperature, surface gravity, and surface hydrogen mass fraction (which also sets the surface helium mass fraction; Y = 1 - X - Z). See Section 4.1 for more details. Below, we describe the content presented here in more detail:</p> <ul> <li><strong>0_ReadMe.txt</strong>: A text file where we describe some more details regarding the content.</li> <li><strong>S41_spectral_model_grid_parameters.txt (95 KB):</strong> A table containing relevant parameter information for each model in the spectral model grid presented in Section 4.1.</li> <li><strong>S41_spectra_spectral_model_grid.tar.gz (479MB)</strong>: A .tar.gz containing the spectral energy distributions and normalized spectra in a text file for each model. The full CMFGEN models are provided as well (see below). This .tar.gz becomes 3.2 GB when inflated.</li> <li>Complete CMFGEN models for the full spectral model grid. Because of the size of these models, we group them into tarballs with one surface hydrogen mass fraction and one effective temperature, labeled for example <strong>XHs0.01_T40000.tar.gz</strong> (that is, this tarball contains a set of models with different surface gravity). Each of these have a size of ~1-3GB and when inflated the total content is ~5GB, and each model has about 500MB.</li> </ul>
Data repository in support of the article: Implementation and evaluation of updated photolysis rates in the EMEP MSC-W chemical transport model using Cloud-J v7.3e
<p>This dataset contains the measurement data, model outputs and Python (v3.10) scripts that are used to produce figures and tables in the paper: Implementation and evaluation of updated photolysis rates in the EMEP MSC-W chemical transport model using Cloud-J v7.3e.</p> <p>The newly created modules providing the interface with Cloud-J in the EMEP MSC-W and BoxChem models are called CloudJ_mod.f90.</p> <p>The measurement data and supporting MATLAB scripts used to create the ATom-1 data files read in by the Python scripts provided here, can be downloaded from https://doi.org/10.3334/ORNLDAAC/1651</p> <p> </p>
Stochastically Generated Clouds and Code For Examining Cloud Retrieval Errors
<p>This data set contains a static version of the AT3D radiative transfer software, which uses SHDOM, which is in .zip form. Python scripts (.py) to generate clouds and to perform 3D radiative transfer simulations and retrievals using 1D radiative transfer. Associated datasets such as LookUpTables or configuration files are in netcdf format ('.nc'). The stochastically generated clouds are stored in synthetic_clouds.tar.gz.</p>
Data of the Paper: Analytical Modeling and Empirical Validation of Performability of Service- and Cloud-Based Dynamic Routing Architecture Patterns
<p>The online artifacts for the following article accepted at 30th Asia-Pacific Software Engineering Conference (APSEC 2023): </p><p>"Analytical Modeling and Empirical Validation of Performability of Service- and Cloud-Based Dynamic Routing Architecture Patterns"</p><p>Abstract:</p><p>Many dynamic routing architectural patterns are available, including distributed routing, e.g., using the sidecar pattern, or centralized routing, e.g., using event stores or service buses. Different Quality-of-Service (QoS) factors influence routing schemas and technology selection, such as performance, reliability, scalability, and control properties offered by the patterns. An analytical model can formalize the QoS factors and facilitate the architectural decision-making when changing the routing scheme, i.e., to more distributed or centralized routing. So far, the impact of these architectural patterns on performability, i.e., the overall performance of a system with impeded reliability, has not been extensively studied. This is important because deciding to increase performance, e.g., by parallel processing of requests, may lead to decreased reliability because of the added points of a crash. We propose an analytical performability model during component crashes. For the empirical validation of our proposed model, we ran an extensive experiment of 2412 hours of runtime on a private cloud infrastructure and Google Cloud Platform. The low prediction error of 1.75\% indicates the high accuracy of our performability model. These results provide important insights when making architectural decisions regarding service- and cloud-based dynamic routing.</p>
Coit Tower - Point Cloud
Point cloud obtained from drone video Source: Objaverse 1.0 / Sketchfab
Dataset for: Synergistic iodine, sulfur, and organic-driven new particle formation enhances cloud-relevant aerosols in the Arctic
<p>This is the data required to reproduce the main, extended data, and supplementary figures from Synergistic iodine, sulfur, and organic-driven new particle formation enhances cloud-relevant aerosols in the Arctic. All data will be made public upon publication of the manuscript. See individual files for metadata.</p>
Data from: Using an arbitrary moment predictor to investigate the optimal choice of prognostic moments in bulk cloud microphysics schemes
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The non-traditional Coriolis terms and tropical convective clouds
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Data from: Low modularity and specialization in a commensalistic epiphyte–phorophyte network in a tropical cloud forest
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Data from: Directional selection in the evolution of elongated upper canines in clouded leopards and sabre-toothed cats
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Data from: Object recognition and localization from 3D point clouds by maximum-likelihood estimation
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Supplementary material: Fundamental watersheds and altitudinal tripartition of the mountain cloud forests from Northwestern Argentina (Yungas)
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Data from: Low cost, high performance processing of single particle cryo-electron microscopy data in the cloud
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MLS/Aura Level 3 Monthly Binned Cloud Ice (IWC) on Assorted Grids V004 (ML3MBIWC) at GES DISC
ML3MBIWC is the EOS Aura Microwave Limb Sounder (MLS) monthly binned on various vertical grids product for cloud ice water content (IWC) derived from radiances measured by the 240 GHz radiometer. The data version is 4.2. Spatial coverage is near-global (-82 to +82 degrees latitude) at a spatial resolution of 4 degrees latitude by 5 degrees longitude. The recommended useful vertical range is from 215 to 82.5 hPa, and the vertical resolution is about 3 km. Users of the ML3MBIWC data product should read chapter 4 and sections 3.15 and 3.16 of the EOS MLS Level 2 Version 4 Quality Document for more information.The data files are archived in the netCDF4 format, which is also compatible with HDF5 readers and tools. Each file contains six group objects: lat-lon map vs pressure, lat vs pressure zonal mean, lat-lon map vs "potential temperature", lat vs "potential temperature" zonal mean, "equivalent latitude" vs "potential temperature" zonal mean, and vortex average vs "potential temperature". Each group has a set of data (average, min, max, std dev, rms) and geolocation fields, grid attributes, and metadata.
CERES Monthly Gridded Single Satellite Fluxes and Clouds Terra FM1 Edition2C
CER_FSW_Terra-FM1-MODIS_Edition2C is the Clouds and the Earth's Radiant Energy System (CERES) Fixed Swath Width (FSW) Monthly Gridded Single Satellite Fluxes and Clouds Terra Flight Model (FM1) Edition 2C data product, which was collected using the CERES-FM1 and the CERES Scanner instruments on the Terra platform. Data collection for this product is complete.The Monthly Gridded Radiative Fluxes and Clouds (FSW) product contains regional averages of instantaneous footprint computed fluxes [Top-of-the-Atmosphere (TOA), surface, and in-atmosphere (profile)], associated TOA observed fluxes and cloud parameters only for the hours of the satellite overpass. The FSW product contains a month of space and time-averaged CERES data for a single scanner instrument. All instantaneous fluxes from the CERES Clouds and Radiative Swath (CRS) product for a month are sorted by 1-degree spatial regions and by the Universal Time (UT) hour of observation. The mean of the instantaneous fluxes for a given region-hour bin is determined and recorded on the FSW, along with other flux statistics and scene information. The mean adjusted fluxes at the four atmospheric levels defined by CRS are also included for both clear-sky and total-sky scenes. In addition, four cloud height categories are defined by dividing the atmosphere into four intervals with boundaries at the surface: 700-, 500-, 300-hPa, and the TOA. The cloud layers from CRS are put into one of the cloud height categories and averaged over the region. The cloud properties are also column averaged and included on the FSW.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.
CERES Clouds and Radiative Swath Aqua FM3 MODIS Edition2C
CER_CRS_Aqua-FM3-MODIS_Edition2c is the Clouds and the Earth's Radiant Energy System (CERES) Clouds and Radiative Swath (CRS) Aqua-Flight Model 3 (FM3) Moderate-Resolution Imaging Spectroradiometer (MODIS) Edition2C data product, which was collected using the CERES-FM3 instrument on the Aqua platform. Data collection for this product is complete. Note that more recent (2006) CRS Ed2C fields for untuned SW (upper left for all-sky globe and lower right for clear-sky ocean) show a bit more bias than does an average of the earlier (2002-2005) Clouds and Radiative Swath (CRS) Ed2B. CRS Ed2C (Ed2B) biases are evaluated concerning SSF Ed2C (Ed2B) observations, and those Single Scanner Footprint (SSF) observations do not include recent "Rev1" adjustments to observations.The CRS product contains one hour of instantaneous Clouds and the Earth's Radiant Energy System (CERES) data for a single scanner instrument. The CRS has all of the CERES SSF product data. For each CERES footprint on the SSF, the CRS also contains vertical flux profiles evaluated at four levels in the atmosphere: the surface, 500-, 70-, and 1-hPa. The CRS fluxes and cloud parameters are adjusted for consistency with a radiative transfer model, and adjusted fluxes are evaluated at the four atmospheric levels for both clear-sky and total-sky.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.
Aqua/AIRS L2 Cloud-Cleared Infrared Radiances (AIRS+AMSU) V7.0 at GES DISC
The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. Cloud-Cleared Radiances contain calibrated, geolocated channel-by-channel AIRS infrared radiances (milliWatts/m2/cm-1/steradian) that would have been observed within each AMSU footprint if there were no clouds in the FOV and produced along with the AIRS Standard Product, as they are the radiances used to retrieve the Standard Product. Nevertheless, they are an order of magnitude larger in data volume than the remainder of the Standard Products and, many Standard Product users are expected to have little interest in the Cloud Cleared Radiance. For these reasons they are a separate output file, but like the Standard Product, are generated at all locations.An AIRS granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track for each of the approximate 2378 channels. There are 240 granules per day, with an orbit repeat cycle of approximately 16 day.
International Satellite Cloud Climatology Project (ISCCP) Stage D1 3-Hourly Cloud Products - Revised Algorithm in Hierarchical Data Format
ISCCP_D1_1 is the International Satellite Cloud Climatology Project (ISCCP) Stage D1 3-Hourly Cloud Products - Revised Algorithm data set in Hierarchical Data Format. This data set contains 3-hourly, 280 KM equal-area grid data from various polar and geostationary satellites. The Gridded Cloud Product contents are spatial averages of DX quantities and statistical summaries, including properties of cloud types. Satellites are merged into a global grid. Atmosphere and surface properties from TOVS are appended. Data collection for this data set is complete. ISCCP, the first project of the World Climate Research Program (WCRP), was established in 1982 (WMO-35 1982, Schiffer and Rossow 1983) to: produce a global, reduced resolution, calibrated and normalized radiance data set containing basic information on the properties of the atmosphere from which cloud parameters can be derived; stimulate and coordinate basic research on techniques for inferring the physical properties of clouds from the condensed radiance data set and to apply the resulting algorithms to derive and validate a global cloud climatology for improving the parameterization of clouds in climate models; and promote research using ISCCP data that contributes to improved understanding of the Earth's radiation budget and hydrological cycle. Starting in 1983 an international group of institutions collected and analyzed satellite radiance measurements from up to five geostationary and two polar orbiting satellites to infer the global distribution of cloud properties and their diurnal, seasonal and interannual variations. The primary focus of the first phase of the project (1983-1995) was the elucidation of the role of clouds in the radiation budget (top of the atmosphere and surface). In the second phase of the project (1995 onward) the analysis also concerns improving understanding of clouds in the global hydrological cycle. The ISCCP analysis combined satellite-measured radiances (Stage B3 data, Schiffer and Rossow 1985), Rossow et al. 1987) with the TOVS atmospheric temperature-humidity and ice/snow correlative data sets to obtain information about clouds and the surface. The analysis method first determined the presence of absence of clouds in each individual image pixel and retrieves the radiometric properties of the cloud for each cloudy pixel and of the surface for each clear pixel. The pixel analysis was performed separately for each satellite radiance data set and the results were reported in the Stage DX data product, which had a nominal resolution of 30 km and 3 hours. The Stage D1 product was produced by summarizing the pixel-level results every 3 hours on an equal-area map with 280 km resolution and merging the results from separate satellites with the atmospheric and ice/snow data sets to produce global coverage at each time. The Stage D2 data product was produced by averaging the Stage D1 data over each month, first at each of the eight three hour time intervals and then over all time intervals.
DC3 In-Situ DC-8 Cloud Data
DC3_Cloud_AircraftInSitu_Data are in-situ cloud data collected onboard the DC-8 aircraft during the Deep Convective Clouds and Chemistry (DC3) field campaign. Data collection for this product is complete.The Deep Convective Clouds and Chemistry (DC3) field campaign sought to understand the dynamical, physical, and lightning processes of deep, mid-latitude continental convective clouds and to define the impact of these clouds on upper tropospheric composition and chemistry. DC3 was conducted from May to June 2012 with a base location of Salina, Kansas. Observations were conducted in northeastern Colorado, west Texas to central Oklahoma, and northern Alabama in order to provide a wide geographic sample of storm types and boundary layer compositions, as well as to sample convection.DC3 had two primary science objectives. The first was to investigate storm dynamics and physics, lightning and its production of nitrogen oxides, cloud hydrometeor effects on wet deposition of species, surface emission variability, and chemistry in anvil clouds. Observations related to this objective focused on the early stages of active convection. The second objective was to investigate changes in upper tropospheric chemistry and composition after active convection. Observations related to this objective focused on the 12-48 hours following convection. This objective also served to explore seasonal change of upper tropospheric chemistry.In addition to using the NSF/NCAR Gulfstream-V (GV) aircraft, the NASA DC-8 was used during DC3 to provide in-situ measurements of the convective storm inflow and remotely-sensed measurements used for flight planning and column characterization. DC3 utilized ground-based radar networks spread across its observation area to measure the physical and kinematic characteristics of storms. Additional sampling strategies relied on lightning mapping arrays, radiosondes, and precipitation collection. Lastly, DC3 used data collected from various satellite instruments to achieve its goals, focusing on measurements from CALIOP onboard CALIPSO and CPL onboard CloudSat. In addition to providing an extensive set of data related to deep, mid-latitude continental convective clouds and analyzing their impacts on upper tropospheric composition and chemistry, DC3 improved models used to predict convective transport. DC3 improved knowledge of convection and chemistry, and provided information necessary to understanding the processes relating to ozone in the upper troposphere.
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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.