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23 results for “Global average”
Global and tropical band averages for a selection of CMIP5 and CMIP6 models: piControl and abrupt-4xCO2 experiments
<p>This dataset provides post-processed spatial averages for a selection of CMIP5 and CMIP6 models. The experiments contained in this dataset are only the pre-industrial controls (piControl) and the experiments with a four-fold increase in the atmospheric CO$_{2}$ concentration in relation to the pre-industrial level (abrupt-4xCO2). The spatial averages are global and tropical bands from x°S to x°N, where the x value is between 5 and 40 in increments of 5°. This dataset was created to study climate sensitivity in general and the effect of stratospheric circulation changes on the tropical equilibrium climate sensitivity. It contains the following variables:</p> <ul> <li>incoming (d) short-wave (SW, s) radiative flux (RF, r) at the top of the atmosphere (TOA, t): rsdt</li> <li>outgoing (u) SW RF at TOA: rsut</li> <li>outgoing long-wave (LW, l) RF at TOA: rlut</li> <li>net (n) RF at TOA: rnt</li> <li>incoming SW RF at the surface (s): rsds</li> <li>outgoing SW RF at the surface: rsus</li> <li>incoming LW RF at the surface: rlds</li> <li>outgoing LW RF at the surface: rlus</li> <li>net RF at the surface: rns</li> <li>sensible heat flux (hfs) at the surface: hfss</li> <li>latent heat flux (hfl) at the surface: hfls</li> <li>surface temperature (t): ts</li> <li>atmospheric temperature: ta</li> <li>specific humidity: hus</li> <li>zonal component of wind: ua</li> <li>meridional component of wind: va</li> <li>lagrangian tendency of pressure (vertical component of wind in pressure per time dimensions): wap</li> <li>surface pressure: ps</li> <li>geopotential height: zg</li> </ul>
Hourly LC impacts - Global Warming - current mix and future scenarios, average demand
<p>Dataset on LCA results of electricity generation and supply in Italy for 2018, 2019 and 2020 (current mix) and two future scenarios (2030) - Global Warming, average demand perspective.</p> <p>Modelling materials and methods are described in the paper "Life-cycle assessment of current and future electricity supply in Italy: addressing average and marginal hourly demand".</p>
Global and tropical band averages for a selection of CMIP5 and CMIP6 models: piControl and abrupt-4xCO2 experiments (compressed)
<p>This dataset provides post-processed spatial averages for a selection of 55 CMIP5 and CMIP6 models. The experiments contained in this dataset are only the pre-industrial controls (piControl) and the experiments with a four-fold increase in the atmospheric CO$_{2}$ concentration in relation to the pre-industrial level (abrupt-4xCO2). The spatial averages are global and tropical bands from x°S to x°N, where the x value is between 5 and 40 in increments of 5°. This dataset was created to study climate sensitivity in general and the effect of stratospheric circulation changes on the tropical equilibrium climate sensitivity. It contains the following variables:</p> <ul> <li>incoming (d) short-wave (SW, s) radiative flux (RF, r) at the top of the atmosphere (TOA, t): rsdt</li> <li>outgoing (u) SW RF at TOA: rsut</li> <li>outgoing long-wave (LW, l) RF at TOA: rlut</li> <li>net (n) RF at TOA: rnt*</li> <li>incoming SW RF at the surface (s): rsds</li> <li>outgoing SW RF at the surface: rsus</li> <li>incoming LW RF at the surface: rlds</li> <li>outgoing LW RF at the surface: rlus</li> <li>net RF at the surface: rns*</li> <li>sensible heat flux (hfs) at the surface: hfss</li> <li>latent heat flux (hfl) at the surface: hfls</li> <li>surface temperature (t): ts</li> <li>atmospheric temperature: ta</li> <li>specific humidity: hus</li> <li>zonal component of wind: ua</li> <li>meridional component of wind: va</li> <li>lagrangian tendency of pressure (vertical component of wind in pressure per time dimensions): wap</li> <li>surface pressure: ps</li> <li>geopotential height: zg</li> </ul> <p>*rnt and rns were calculated for the creation of this dataset using the model output rlut rsut, rsds, rsus, rlds, rlus.</p> <p>This version updates the previous version by providing the dataset in a compressed tarball. Use `tar -xzvf CMIP_data.tar.gz` to extract and decompress.</p>
TreeGOER Global Zones: Global atlas for the Climatic Moisture Index (CMI), Maximum Climatological Water Deficit (MCWD) and the number of months with average temperature > 10 degrees C (Tmo10)
<p>The <strong>TreeGOER (Tree Globally Observed Environmental Ranges)</strong> database documents the environmental ranges for 48,129 tree species and is available from files archived at <a href="https://doi.org/10.5281/zenodo.7922927">https://doi.org/10.5281/zenodo.7922927</a>. Details on the preparation of this database from 30 arc-second global grid layers are provided by Kindt, R. (2023). <strong>TreeGOER: A database with globally observed environmental ranges for 48,129 tree species</strong>. Global Change Biology, 00, 1–16. <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914</a>. The atlas from this archive was designed to be used together with TreeGOER and possibly also with the <a href="https://worldagroforestry.org/output/globalusefulnativetrees">GlobalUsefulNativeTrees</a> database (Kindt et al. <a href="https://www.nature.com/articles/s41598-023-39552-1">2023</a>) to allow users to filter suitable tree species based on environmental conditions of the planting site.</p> <p><strong>TreeGOER</strong> includes a file (<em>TreeGOER_Tmo10_classes.txt</em>) that documents the distribution of species in zones defined by the number of months with average temperature > 10 degrees C. <strong>TreeGOER</strong> also includes a file (<em>TreeGOER_CMI_classes.txt</em>) that documents the distribution of species in zones defined by the Climatic Moisture Index (CMI). The atlas provided here shows the global distribution of the Tmo10 zones and CMI zones at high resolution on six sheets each, including three sheets in the northern hemisphere and three sheets in the southern hemisphere.</p> <p>The atlas also includes six sheets that show the global distribution of the Maximum Climatological Water Deficit (MCWD), another environmental variable covered by the <strong>TreeGOER</strong> database.</p> <p> </p> <table> <tbody> <tr> <td><strong>Zone</strong></td> <td><strong>Classes</strong></td> <td><strong>Comment</strong></td> </tr> <tr> <td>Tmo10</td> <td> Tmo10 = 12 + Bio06 >= 18</td> <td>tropical (minimum temperature of coldest month 18 degrees C or higher)</td> </tr> <tr> <td> </td> <td>Tmo10 = 12 + Bio06< 18</td> <td>tropical (minimum temperature of coldest month less than 18 degrees C)</td> </tr> <tr> <td> </td> <td>8 ≤ Tmo10 < 12</td> <td>subtropical</td> </tr> <tr> <td> </td> <td>4 ≤ Tmo10 < 8</td> <td>temperate</td> </tr> <tr> <td> </td> <td>1 ≤ Tmo10 < 4</td> <td>boreal</td> </tr> <tr> <td> </td> <td>Tmo10 < 1</td> <td>polar</td> </tr> <tr> <td>CMI</td> <td>CMI ≥ 0.5</td> <td>P >= 2 * PET</td> </tr> <tr> <td> </td> <td>0 ≤ CMI < 0.5</td> <td>PET <= P < 2 * PET</td> </tr> <tr> <td> </td> <td>−0.35 ≤ CMI < 0</td> <td>0.65 <= P/PET < 1</td> </tr> <tr> <td> </td> <td>−0.5 ≤ CMI < −0.35</td> <td>dry sub-humid</td> </tr> <tr> <td> </td> <td>−0.8 ≤ CMI < −0.5</td> <td>semi-arid</td> </tr> <tr> <td> </td> <td>−0.95 ≤ CMI < −0.8</td> <td>arid</td> </tr> <tr> <td> </td> <td>CMI < −0.95</td> <td> hyper-arid</td> </tr> <tr> <td>MCWD</td> <td>MCWD ≤ -100</td> <td> </td> </tr> <tr> <td> </td> <td>−200 ≤ MCWD < −100</td> <td> </td> </tr> <tr> <td> </td> <td>−400 ≤ MCWD < −200</td> <td> </td> </tr> <tr> <td> </td> <td>−600 ≤ MCWD < −400 </td> <td> </td> </tr> <tr> <td> </td> <td>−800 ≤ MCWD < −600</td> <td> </td> </tr> <tr> <td> </td> <td>−1000 ≤ MCWD < −800</td> <td> </td> </tr> <tr> <td> </td> <td>−1250 ≤ MCWD < −1000</td> <td> </td> </tr> <tr> <td> </td> <td>−1500 ≤ MCWD < −1250</td> <td> </td> </tr> <tr> <td> </td> <td>−1750 ≤ MCWD < −1500 </td> <td> </td> </tr> <tr> <td> </td> <td>−2000 ≤ MCWD < −1750 </td> <td> </td> </tr> <tr> <td> </td> <td>−2500 ≤ MCWD < −2000 </td> <td> </td> </tr> </tbody> </table> <p> </p> <p>A fourth map series in the atlas combines information from the Climatic Moisture Index with the distribution of 52,602 cities that were included in the CitiesGOER database, available from <a href="https://doi.org/10.5281/zenodo.8175429">https://doi.org/10.5281/zenodo.8175429</a><a name="_Hlk141002106"></a><br></p> <p>Maps were created from the environmental raster layers used to create the TreeGOER via the <a href="https://cran.r-project.org/web/packages/terra/">terra package</a> (Hijmans et al. 2022, version 1.7-46) in the <a href="https://cran.r-project.org/">R 4.2.1 environment</a>.</p> <p>Added country boundaries were obtained from <a href="https://www.naturalearthdata.com/downloads/10m-cultural-vectors/">Natural Earth</a> as <a href="https://www.naturalearthdata.com/http/www.naturalearthdata.com/download/10m/cultural/ne_10m_admin_0_countries.zip">Admin 0 – countries vector layers</a> (version 5.1.1). Also added after obtaining them from Natural Earth were <a href="https://www.naturalearthdata.com/http/www.naturalearthdata.com/download/10m/cultural/ne_10m_admin_0_boundary_lines_disputed_areas.zip">Admin 0 – Breakaway, Disputed areas</a> (version 5.1.0, coloured yellow in the atlas), <a href="https://www.naturalearthdata.com/http/www.naturalearthdata.com/download/10m/cultural/ne_10m_roads.zip">Roads</a> (version 5.0.0, coloured red in the atlas) and <a href="https://www.naturalearthdata.com/http/www.naturalearthdata.com/download/10m/physical/ne_10m_lakes.zip">Lakes</a> (version 5.0.0, coloured darkblue in the atlas).</p> <p>For countries where the GlobalUsefulNativeTrees database included subnational levels, boundaries were added and depicted as dot-dash lines. These subnational levels correspond to level 3 boundaries in the World Geographical Scheme for Recording Plant Distributions. These were obtained from <a href="https://github.com/tdwg/wgsrpd">https://github.com/tdwg/wgsrpd</a>. Check <a href="https://github.com/tdwg/wgsrpd/blob/master/109-488-1-ED/2nd%20Edition/TDWG_geo2.pdf">Brummit 2001</a> for details such as the maps shown at the end of this document.</p> <p>When using the TreeGOER Global Zones atlas in your work, cite this depository and the following:</p> <ul> <li>Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1‐km spatial resolution climate surfaces for global land areas. <em>International Journal of Climatology</em>, <em>37</em>(12), 4302–4315. <a href="https://doi.org/10.1002/joc.5086">https://doi.org/10.1002/joc.5086</a></li> <li>Title, P. O., & Bemmels, J. B. (2018). ENVIREM: An expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. <em>Ecography</em>, <em>41</em>(2), 291–307. <a href="https://doi.org/10.1111/ecog.02880">https://doi.org/10.1111/ecog.02880</a></li> <li>Kindt, R. (2023). TreeGOER: A database with globally observed environmental ranges for 48,129 tree species. Global Change Biology, 00, 1–16. <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914</a>.</li> </ul> <p> </p> <p>The development of the TreeGOER Global Zones atlas (including development of version 2024.06) was supported by the <strong>Darwin Initiative</strong> to project DAREX001 of <em>Developing a Global Biodiversity Standard certification for tree-planting and restoration</em>, by <strong>Norway’s International Climate and Forest Initiative through the Royal Norwegian Embassy in Ethiopia</strong> to the <em>Provision of Adequate Tree Seed Portfolio</em> project in Ethiopia, by the <strong>Green Climate Fund</strong> through the IUCN-led <em>Transforming the Eastern Province of Rwanda through Adaptation</em> project and through the <em>Readiness proposal on Climate Appropriate Portfolios of Tree Diversity for Burkina Faso</em>, by the <strong>Bezos Earth Fund</strong> to the <em>Bezos Quality Tree Seed for Africa in Kenya and Rwanda</em> project and by the <strong>German International Climate Initiative (IKI)</strong> to the regional tree seed programme on <em>The Right Tree for the Right Place for the Right Purpose in Africa</em>.</p> <p> </p>
A Layer-averaged Nonhydrostatic Dynamical Framework on an Unstructured Mesh for Global and Regional Atmospheric Modeling: Model Description, Baseline Evaluation and Sensitivity Exploration
<p>Selected model output data for supporting this paper.</p> <p>List of Files:</p> <p>2dtracer.tar.gz: correlated tracer test</p> <p>rh3d.tar.gz: 3D Rossby-Haurwitz Wave</p> <p>modon.tar.gz: Colliding Modons</p> <p>jwss.tar.gz: Jablonowski-Williamson Baroclinic Steady State</p> <p>jwbw_1d.tar.gz: 1D data output from Jablonowski-Williamson Baroclinic Wave</p> <p>jwbw_2d.tar.gz: 2D data output from Jablonowski-Williamson Baroclinic Wave</p> <p>dcmip31.tar.gz: DCMIP3-1 nonhydrostatic gravity wave</p> <p>Klemp15.tar.gz: Nonhydrostatic Mountain Waves in Klemp et al. 2015</p> <p>held-suarez.tar.gz: Held-Suarez dry climate (post-processed data for plotting, the raw daily data are too large to upload)</p> <p>jwbwvr.tar.gz: Variable-Resolution modeling of the Jablonowski-Williamson Baroclinic Wave</p> <p> </p> <p>see https://doi.org/10.5281/zenodo.3544795 for a companion work</p> <p>References:</p> <p>Zhang, Y., J. Li, R. Yu, S. Zhang, Z. Liu, J. Huang, and Y. Zhou, 2019: A Layer-Averaged Nonhydrostatic Dynamical Framework on an Unstructured Mesh for Global and Regional Atmospheric Modeling: Model Description, Baseline Evaluation, and Sensitivity Exploration. <em>Journal of Advances in Modeling Earth Systems</em>, <strong>11,</strong> 1685-1714.</p>
Global Gridded Dataset of Average-state Specific Yield
Open the record for dataset details and reuse information.
Forecasting 24-hour-averaged PM2.5concentration in the Aburrá Valley using tree-based ML models, global forecasts, and satellite information: Dataset
<p>Data necessary for the training and evaluating the 24-hourly-averaged PM2.5 forecast over 19 stations within the Aburrá Valley, Colombia, is included here.</p>
A reference dataset of global gridded average-state specific yield
<p>The uploaded data is related with our manuscript "A reference dataset of global gridded average-state specific yield".</p>
Animation of PHELS global ensemble average hazard (rzmc&rainfall) for the year 2015
<p>This animation of daily global landslide hazard for the year 2015 comes from the Probabilistic Hydrological Estimation of LandSlides (PHELS) model on the 36-km EASE grid for the combination of rainfall and root-zone soil moisture (rzmc, 0-100cm depth) as hydrological predictor variables alongside global landslide susceptibility estimates. PHELS is based on a quadratic exponential equation, fitted to 9367 landslide events.</p>
Earth Radiation Budget Experiment (ERBE) Nonscanner Regional, Zonal, and Global Averages S-4N data in native format
ERBE_S4N_NAT_1 is the Earth Radiation Budget Experiment (ERBE) Nonscanner Regional, Zonal, and Global Averages S-4N data in native format data set, which contains averages of flux and albedo on regional, zonal, and global scales for non-scanner data processed without scanner scene identification information. Data collection for this data set is complete. The data are represented as 8-bit, 16-bit, and 32-bit integers.ERBE was a multi-satellite system designed to measure the Earth's radiation budget. The ERBE instruments flew on a mid-inclination National Aeronautics and Space Administration (NASA) Earth Radiation Budget Satellite (ERBS) and two sun-synchronous National Oceanic and Atmospheric Administration (NOAA) satellites (NOAA-9 and NOAA-10). Each satellite carried both a scanner and a non-scanner instrument package. The S-4N contained averages of flux and albedo on regional, zonal, and global scales for non-scanner data. It was available as a combination of all operational spacecraft (ERBS, NOAA-9 and NOAA-10) for the nons-canner wide field-of-view (WFOV) data. The S-4N is a multi-file product which has three files of WFOV numerical filter and three files of WFOV shape factor data. Monthly (day), monthly (hour), daily, and monthly hourly averages are determined for each region.
Earth Radiation Budget Experiment (ERBE) S-4GN (Nonscanner) Wide Field of View Numerical Filter (NF) Zonal and Global Averages
ERBE_S4GN_WFOV_NF_ZG data set contains Earth Radiation Budget Experiment (ERBE) S-4GN (Nonscanner-only) Wide Field of View Numerical Filter (NF) 5.0 and 10.0 degree Zonal and Global Averages in Hierarchical Data Format.The Earth Radiation Budget Experiment (ERBE) is a multi-satellite system designed to measure the Earth's radiation budget. The ERBE instruments fly on a mid-inclination National Aeronautics and Space Administration (NASA) Earth Radiation Budget Satellite (ERBS) and two sun-synchronous National Oceanic and Atmospheric Administration (NOAA) satellites (NOAA-9 and NOAA-10). Each carries both a scanner and a nonscanner instrument package.The ERBE S-4G product contains the same time and space averages of all the individual estimates of radiant flux at the top-of-the-atmosphere for one month and one spacecraft or combination of spacecraft as the S-4N product. The difference between the two products is that S-4N is arranged by region, with all parameters for a region grouped together, while S-4GN presents gridded data, with all regions for a given parameter grouped together.The S-4GN data set consists of nonscanner data processed without scene identification information from the scanner and with the numerical filter cross track enhancement.
Earth Radiation Budget Experiment (ERBE) S-4GN (Nonscanner) Wide Field of View Shape Factor (SF) 10.0 degree Zonal and Global Averages
ERBE_S4GN_WFOV_SF_ZG_1 is the Earth Radiation Budget Experiment (ERBE) S-4GN (Non-scanner) Wide Field of View Shape Factor (SF) 10.0 degree Zonal and Global Averages data set, which is in Hierarchical Data Format (HDF). Data collection for this data set is complete.ERBE was a multi-satellite system designed to measure the Earth's radiation budget. The ERBE instruments flew on a mid-inclination National Aeronautics and Space Administration (NASA) Earth Radiation Budget Satellite (ERBS) and two sun-synchronous National Oceanic and Atmospheric Administration (NOAA) satellites (NOAA-9 and NOAA-10). Each carried both a scanner and a non-scanner instrument package. The ERBE S-4G product contained the same time and space averages of all the individual estimates of radiant flux at the top-of-the-atmosphere (TOA) for one month and one spacecraft or combination of spacecraft as the S-4N product. The difference between the two products was that S-4N was arranged by region, with all parameters for a region grouped together, while S-4GN presented gridded data, with all regions for a given parameter grouped together. The S-4GN data set consisted of non-scanner data processed without scene identification information from the scanner and with the numerical filter cross track enhancement.
Earth Radiation Budget Experiment (ERBE) S-4G Nonscanner,Medium Field of View (MFOV) Numerical Filter (NF) Zonal and Global Averages in HDF
ERBE_S4G_MFOV_NF_ZG_1 is the Earth Radiation Budget Experiment (ERBE) S-4G Non-scanner, Medium Field of View (MFOV) Numerical Filter (NF) Zonal and Global Averages in HDF data product. Data collection for this product is complete. It consists of non-scanner, medium field-of-view data, processed using the numerical filter data reduction technique. The data are averaged over latitudinal bands(zones) as well as on a global level in which each parameter is averaged over the entire globe. The zonal averages are available in both 5.0 and 10.0 degree resolutions. Monthly (day), monthly (hour), daily, and monthly hourly averages are determined for each region. The data are represented as 8-bit, 16-bit, and 32-bit integers.ERBE is a multi-satellite system that was designed to measure the Earth's radiation budget. ERBE instruments flew on a mid-inclination National Aeronautics and Space Administration (NASA) Earth Radiation Budget Satellite (ERBS) and two sun-synchronous National Oceanic and Atmospheric Administration (NOAA) satellites, NOAA-9 and NOAA-10. NOAA-9 and NOAA-10 provided global coverage and the ERBS provided coverage between 67.5 degrees north and south latitude. Each satellite carried both a scanner and a non-scanner instrument package. The non-scanner instrument contained four Earth-viewing channels and a solar monitor. The Earth-viewing channels had two spatial resolutions: a horizon-to-horizon view of the Earth, and a field-of-view limited to about 1000 km in diameter. The former were called the wide field-of-view (WFOV) and the latter the medium field of view (MFOV) channels. For each of the two fields of view, there was a total spectral channel which was sensitive to all wavelengths and a shortwave channel which used a high purity, fused silica filter dome to transmit only the shortwave radiation from 0.2 to 5 microns. Because of the concern for spectral flatness and high accuracy, all five channels on the non-scanner package were active cavity radiometers. The ERBE S-4G product contained averages of radiant flux and albedo on regional, zonal, and global scales. The data for the S-4G product were arranged by parameter values. ERBE S-4G MFOV product was available as a combination of the ERBS and NOAA-9 spacecraft. Products were archived as a combination of ERBS and NOAA-9 from February 1985 through October 1986. MFOV measurements from NOAA-10 have not been archived.
AMSR-E/Aqua level 3 global monthly Surface Soil Moisture Averages V005 (AMSRE_AVRMO) at GES DISC
The dataset contains global monthly-mean soil moisture statistics (average values) for 1 by 1 degree grid cells. The source for the data is AMSR-E daily estimates of soil moisture (AE_Land3.002: AMSR-E/Aqua Daily L3 Surface Soil Moisture, Interpretive Parameters, QC EASE-Grids. Version 2 ). The dataset covers the time period from 2002-10-01 to 2011-09-30.
Earth Radiation Budget Experiment (ERBE) S-4G Nonscanner,Wide Field of View (WFOV) Shape Factor (SF) 10 degree Zonal and Global Averages in HDF
ERBE_S4G_WFOV_SF_ZG_1 is the Earth Radiation Budget Experiment (ERBE) S-4G Non-scanner, Wide Field of View (WFOV) Shape Factor (SF) 10 degree Zonal and Global Averages in HDF data product. Data collection for this product is complete. The data set consists of non-scanner, wide field-of-view data, which was processed using the shape factor data reduction technique. The data were averaged over latitudinal bands(zones) as well as on a global level in which each parameter is averaged over the entire globe. The zonal averages are available in 10.0 degree resolution. Monthly (day), monthly (hour), daily, and monthly hourly averages were determined for each region. The data are represented as 8-bit, 16-bit, and 32-bit integers.Earth Radiation Budget Experiment (ERBE) was a multi-satellite system designed to measure the Earth's radiation budget. ERBE instruments flew on a mid-inclination National Aeronautics and Space Administration (NASA) Earth Radiation Budget Satellite (ERBS) and two sun-synchronous National Oceanic and Atmospheric Administration (NOAA) satellites, NOAA-9 and NOAA-10. NOAA-9 and NOAA-10 provided global coverage and the ERBS provided coverage between 67.5 degrees north and south latitude. Each satellite carried both a scanner and a non-scanner instrument package. The non-scanner instrument contained four Earth-viewing channels and a solar monitor. The Earth-viewing channels had two spatial resolutions: a horizon-to-horizon view of the Earth, and a field-of-view limited to about 1000 km in diameter. The former was called the wide field-of-view (WFOV) and the latter the medium field of view (MFOV) channels. For each of the two fields of view, there was a total spectral channel which is sensitive to all wavelengths and a shortwave channel which used a high purity, fused silica filter dome to transmit only the shortwave radiation from 0.2 to 5 microns. Because of the concern for spectral flatness and high accuracy, all five channels on the non-scanner package were active cavity radiometers. The ERBE S-4G product contained averages of radiant flux and albedo on regional, zonal, and global scales. The data for the S-4G product were arranged by parameter values. The ERBE S-4G WFOV product was available as a combination of all operational spacecraft. Products have been archived from November 1984 - January 1985 and June 1989 - February 1990 for ERBS; February 1985 - October 1986 for ERBS/NOAA-9; November 1986 - January 1987 for ERBS/NOAA-9/NOAA-10; and February 1987 - May 1989 for ERBS/NOAA-10. The various combinations of the satellites reflected the actual duration of the scanners.
Earth Radiation Budget Experiment (ERBE) Nonscanner S-4G MediumField of View (MFOV) Shape Factor (SF) Zonal and Global Averages
ERBE_S4G_MFOV_SF_ZG_1 is the Earth Radiation Budget Experiment (ERBE) Non-scanner S-4G Medium-field of View (MFOV) Shape Factor (SF) Zonal and Global Averages data product. Data collection for this product is complete. This data set consists of non-scanner, medium field-of-view data, which was processed using the shape factor data reduction technique. The data are averaged over latitudinal bands(zones) as well as on a global level in which each parameter is averaged over the entire globe. The zonal averages are available in 10.0 degree resolution. Monthly (day), monthly (hour), daily, and monthly hourly averages are determined for each region. The data are represented as 8-bit, 16-bit, and 32-bit integers.Earth Radiation Budget Experiment (ERBE) was a multi-satellite system designed to measure the Earth's radiation budget. ERBE instruments flew on a mid-inclination National Aeronautics and Space Administration (NASA) Earth Radiation Budget Satellite (ERBS) and two sun-synchronous National Oceanic and Atmospheric Administration (NOAA) satellites, NOAA-9 and NOAA-10. NOAA-9 and NOAA-10 provided global coverage and the ERBS provided coverage between 67.5 degrees north and south latitude. Each satellite carried both a scanner and a non-scanner instrument package. The non-scanner instrument contained four Earth-viewing channels and a solar monitor. The Earth-viewing channels had two spatial resolutions: a horizon-to-horizon view of the Earth, and a field-of-view limited to about 1000 km in diameter. The former was called the wide field-of-view (WFOV) and the latter the medium field of view (MFOV) channels. For each of the two fields of view, there was a total spectral channel which is sensitive to all wavelengths and a shortwave channel which used a high purity, fused silica filter dome to transmit only the shortwave radiation from 0.2 to 5 microns. Because of the concern for spectral flatness and high accuracy, all five channels on the non-scanner package were active cavity radiometers. The ERBE S-4G product contained averages of radiant flux and albedo on regional, zonal, and global scales. The data for the S-4G product were arranged by parameter values. The ERBE S-4G WFOV product was available as a combination of all operational spacecraft. Products have been archived from November 1984 - January 1985 and June 1989 - February 1990 for ERBS; February 1985 - October 1986 for ERBS/NOAA-9; November 1986 - January 1987 for ERBS/NOAA-9/NOAA-10; and February 1987 - May 1989 for ERBS/NOAA-10. The various combinations of the satellites reflected the actual duration of the scanners.
Earth Radiation Budget Experiment (ERBE) Regional, Zonal, and Global Averages S-4 data in native format
ERBE_S4_NAT_1 is the Earth Radiation Budget Experiment (ERBE) Regional, Zonal, and Global Averages S-4 data in native format data set, which contains space and time averages of flux and albedo on regional, zonal, and global scales for both scanner and non-scanner data in native format. Data collection for this collection is complete. The data are represented as 8-bit, 16-bit, and 32-bit integers.ERBE is a multi-satellite system that was designed to measure the Earth's radiation budget. ERBE instruments flew on a mid-inclination National Aeronautics and Space Administration (NASA) Earth Radiation Budget Satellite (ERBS) and two sun-synchronous National Oceanic and Atmospheric Administration (NOAA) satellites, NOAA-9 and NOAA-10. NOAA-9 and NOAA-10 provided global coverage and the ERBS provided coverage between 67.5 degrees north and south latitude. Each satellite carried both a scanner and a non-scanner instrument package. The non-scanner instrument contained four Earth-viewing channels and a solar monitor. The Earth-viewing channels had two spatial resolutions: a horizon-to-horizon view of the Earth, and a field-of-view limited to about 1000 km in diameter. The former was called the wide field-of-view (WFOV) and the latter the medium field of view (MFOV) channels. For each of the two fields of view, there was a total spectral channel which was sensitive to all wavelengths and a shortwave channel which used a high purity, fused silica filter dome to transmit only the shortwave radiation from 0.2 to 5 microns. Because of the concern for spectral flatness and high accuracy, all five channels on the non-scanner package were active cavity radiometers. The ERBE S-4G product contained averages of radiant flux and albedo on regional, zonal, and global scales. The data for the S-4G product were arranged by parameter values. ERBE S-4G MFOV product was available as a combination of the ERBS and NOAA-9 spacecraft. Products were archived as a combination of ERBS and NOAA-9 from February 1985 through October 1986. MFOV measurements from NOAA-10 have not been archived.
Earth Radiation Budget Experiment (ERBE) S-4G Nonscanner,Wide Field of View (WFOV) Numerical Filter (NF) 5 and 10 degree Zonal and Global Averages in HDF
ERBE_S4G_WFOV_NF_ZG_1 is the Earth Radiation Budget Experiment (ERBE) S-4G Non-scanner, Wide Field of View (WFOV) Numerical Filter (NF) 5 and 10 degree Zonal and Global Averages in HDF data product. Data collection for this product is complete. This data set consists of non-scanner, wide field-of-view data, which was processed using the numerical filter data reduction technique. The data were averaged over latitudinal bands(zones) as well as on a global level in which each parameter is averaged over the entire globe. The zonal averages are available in 5.0 and 10.0 degree resolutions. Monthly (day), monthly (hour), daily, and monthly hourly averages are determined for each region. The data are represented as 8-bit, 16-bit, and 32-bit integers.Earth Radiation Budget Experiment (ERBE) was a multi-satellite system designed to measure the Earth's radiation budget. ERBE instruments flew on a mid-inclination National Aeronautics and Space Administration (NASA) Earth Radiation Budget Satellite (ERBS) and two sun-synchronous National Oceanic and Atmospheric Administration (NOAA) satellites, NOAA-9 and NOAA-10. NOAA-9 and NOAA-10 provided global coverage and the ERBS provided coverage between 67.5 degrees north and south latitude. Each satellite carried both a scanner and a non-scanner instrument package. The non-scanner instrument contained four Earth-viewing channels and a solar monitor. The Earth-viewing channels had two spatial resolutions: a horizon-to-horizon view of the Earth, and a field-of-view limited to about 1000 km in diameter. The former was called the wide field-of-view (WFOV) and the latter the medium field of view (MFOV) channels. For each of the two fields of view, there was a total spectral channel which is sensitive to all wavelengths and a shortwave channel which used a high purity, fused silica filter dome to transmit only the shortwave radiation from 0.2 to 5 microns. Because of the concern for spectral flatness and high accuracy, all five channels on the non-scanner package were active cavity radiometers. The ERBE S-4G product contained averages of radiant flux and albedo on regional, zonal, and global scales. The data for the S-4G product were arranged by parameter values. The ERBE S-4G WFOV product was available as a combination of all operational spacecraft. Products have been archived from November 1984 - January 1985 and June 1989 - February 1990 for ERBS; February 1985 - October 1986 for ERBS/NOAA-9; November 1986 - January 1987 for ERBS/NOAA-9/NOAA-10; and February 1987 - May 1989 for ERBS/NOAA-10. The various combinations of the satellites reflected the actual duration of the scanners.
Earth Radiation Budget Experiment (ERBE) S-4G Scanner (SC) 2.5, 5, 10 degrees Zonal and Global Regional Averages
ERBE_S4G_SC_ZG_1 is the Earth Radiation Budget Experiment (ERBE) S-4G Scanner (SC) 2.5, 5, 10 degrees Zonal and Global Regional Averages data set. It is in Hierarchical Data Format. Data collection for this data set is complete.ERBE was a multi-satellite system designed to measure the Earth's radiation budget. The ERBE instruments flew on a mid-inclination National Aeronautics and Space Administration (NASA) Earth Radiation Budget Satellite (ERBS) and two sun-synchronous National Oceanic and Atmospheric Administration (NOAA) satellites, NOAA-9 and NOAA-10. NOAA-9 and NOAA-10 provided global coverage and the ERBS provided coverage between 67.5 degrees north and south latitude. Each satellite carried both a scanner and a non-scanner instrument package. The scanner instrument package contained three detectors to measure shortwave (0.2 to 5 microns), longwave (5 to 50 microns) and total waveband radiation (.2 to 50 microns). Each detector normally scanned the Earth perpendicular to the satellite ground-track from horizon-to-horizon. The detectors were thermistors which used space views on every scan as a reference point to guard against drift. They were located at the focal point of a f/1.84 Cassegrain telescope, whose aluminum-coated mirrors were overcoated to enhance ultraviolet reflectivity. The total channel had no filter; therefore it absorbed all wavelengths. The shortwave channel was a fused silica filter which transmitted only shortwave radiation. The longwave channel was a multilayer filter on a diamond substrate to reject shortwave energy and accept longwave. To enhance the spectral flatness of the detectors, each thermistor chip was coated with a thin layer of black paint. The effective field of view of the scanner was 3 degrees. The ERBE S-4G product contained averages of radiant flux and albedo on regional, zonal, and global scales. The data for the S-4G product were arranged by parameter values. The various combinations of the satellites reflected the actual duration of the scanners.
[OBSOLETE] OCTOPUS Database v.2: The CRN Denudation Global v.2 collection. Basin-averaged denudation rates from cosmogenic Be-10 and Al-26 abundances
<p>Database of published cosmogenic Be-10 and Al-26 concentrations from modern river sediment and basin-averaged denudation rates inferred from these data. Ancillary spatial data includes: sample site location (point), basin outline (polygon), digital elevation model (raster), D8 flow direction and flow accumulation grids (raster), topographic gradient (raster), atmospheric pressure (raster), and cosmogenic nuclide production scaling factor and topographic shielding grids (raster). The vector spatial data uses the WGS84/Pseudo-Mercator (EPSG: 3857) projected coordinate reference system. The raster data uses the WGS86/UTM projected coordinate reference system, UTM zones depending on the extent and location of each data package. Sample metadata is comprehensive and includes all necessary information and input files for the recalculation of denudation rates using the CAIRN model (https://github.com/LSDtopotools/LSDTopoTools_CRNBasinwide). All denudation rates were recalculated and harmonised using CAIRN. The extent of the data is global, excluding Australia.</p> <p>Accompanying publication: Codilean, A. T., Munack, H., Saktura, W. M., Cohen, T. J., Jacobs, Z., Ulm, S., Hesse, P. P., Heyman, J., Peters, K. J., Williams, A. N., Saktura, R. B. K., Rui, X., Chishiro-Dennelly, K., and Panta, A.: OCTOPUS database (v.2), Earth Syst. Sci. Data, 14, 3695–3713, <a href="https://doi.org/10.5194/essd-14-3695-2022" target="_blank" rel="noopener">https://doi.org/10.5194/essd-14-3695-2022</a>, 2022.</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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