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29
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ShareScore release 0.9.0
Dataset results
29 results for “low clouds”
Toward low-cloud-permitting cloud superparameterization with explicit boundary layer turbulence -- simulation data
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Fit summary of "X-Shooting ULLYSES: Massive Stars at low metallicity IX: Empirical constraints on mass-loss rates and clumping parameters for OB supergiants in the Large Magellanic Cloud"
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Data from: Low modularity and specialization in a commensalistic epiphyte–phorophyte network in a tropical cloud forest
Species interactions can shape the structure of natural communities. Such sets of interactions have been described as complex ecological networks, an example of which is the commensal network formed by epiphyte–phorophyte interactions. Vascular epiphytes germinate and grow on phorophytes (support trees), assuming a horizontal distribution (among the phorophyte species) and a vertical distribution (from the base of the tree trunk to the crown of phorophytes, i.e., through ecological zones). Here we investigated the organization of these structural dimensions of the epiphyte–phorophyte network in a Brazilian tropical montane cloud forest. The analyzed network, comprising 66 epiphyte species and 22 phorophyte species, exhibited a nested structure with a low degree of specialization, a typical pattern for epiphyte–phorophyte networks in forests. The network was slightly modular, with 65% of the species common to three modules, and had vertical structure corresponding to the vertical organization of the phorophytes. The size (diameter at breast height) of phorophyte individuals influenced the network structure, possibly due to the increase in habitat area, the time available for colonization by epiphytes, and a greater number of microenvironments. We found that the distribution of the epiphyte species differed between the phorophyte ecological zones, with greater richness in the lower portions and greater abundance in the upper portions of the phorophytes. The results provide relevant guidance for future research on the characteristics and the vertical and horizontal organization of vascular epiphyte and phorophyte networks.
Single column 1D radiative transfer simulations for a case study of low-level-stratus clouds in the central Arctic during PS106
<p>The collection of datasets published contain the input parameters and output simulations from a single column 1D radiative transfer simulations using the <strong>R</strong>apid <strong>R</strong>adiative <strong>T</strong>ransfer <strong>M</strong>odel for <strong>G</strong>eneral Circulation Model (GCM) applications (RRTMG).</p> <p>The simulations are focused on a selected case study of low-level-stratus clouds during the PS106 research cruise conducted in 2017 in the Central Arctic. The simulations are based on remote sensing observations, which were synergistically used with the Cloudnet algorithm to derive macro and microphysical properties of clouds. The atmospheric profiles of temperature, pressure, and ozone are from ERA5 (European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis) and values of surface albedo from CERES (Clouds and the Earth's Radiant Energy System) SYN1deg Ed. 4.1.</p>
Data from: Low modularity and specialization in a commensalistic epiphyte–phorophyte network in a tropical cloud forest
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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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MODIS Aqua L3 occurrence frequency of low-cloud types monthly mean and annual mean 2x2 degree resolution V001 (MYD_L3_OFLCT) at GES DISC
This product is composed of a beta version for a product from the MODerate resolution Imaging Spectrometer (MODIS) on board the Aqua satellite.MODIS Aqua L3 occurrence frequency of low cloud types (OFLCT) is part of our global MODIS Aqua data from the 2017 MEaSUREs project, A Comprehensive Data Record of Marine Low-level and Deep Convective Cloud Systems Using an Object-Oriented Approach.This file provides the aggregated occurrence frequency of low-cloud types for the year 2007 at monthly and annual intervals. The latitude and longitude variables from MYD_L2_CB; and latitude, longitude and pred_cat from MYD_L2_MPLCT were used to calculate the occurrence frequency of six low-cloud types in 2.0° x 2.0° grids for 60°S-60°N and 180°W-180°E. The six low cloud types are Closed-cellular MCC, Clustered Cumulus, Disorganized MCC, Open-cellular MCC, Solid Stratus, and Suppressed Cumulus.The DOIs of the related datasets in this project are:MYD_L2_CB_001 DOI: 10.5067/DFDGJR6707D8MYD_L2_MPLCT_001 DOI: 10.5067/8TDZURGRLN9I
MODIS Aqua L2 model predicted low cloud types of chopped blocks in which low cloud dominates (block size: 128pixels x 128pixels) V001 (MYD_L2_MPLCT) at GES DISC
This product is composed of a beta version for a product from the MODerate resolution Imaging Spectrometer (MODIS) on board the Aqua satellite.This dataset contains model predicted low cloud morphology type classifications (MPLCT) of each of the chopped blocks as part of our global MODIS Aqua data from the 2017 MEaSUREs project, A Comprehensive Data Record of Marine Low-level and Deep Convective Cloud Systems Using an Object-Oriented Approach.These data are the model predictions of cloud types for low-cloud-dominated blocks over the oceans for individual MODIS Aqua granule data, chopped into small blocks in shape (np_x, np_y), where np_x = 128 pixels and np_y = 128 pixels. These low-cloud-dominated blocks are defined by the conditions: the ratio of high-cloud fraction and low-cloud fraction is smaller than 0.2, with high-cloud fraction < 0.3 and low-cloud fraction > 0.05. Only daytime granule data are included and blocks with sensor zenith angle > 45 and blocks over land are excluded.The variables include:block_low: the name of the low-cloud-dominated block, based on which the location of the chopped block in the granule data can be found.pred_cat: the predicted cloud type of each block.pred_prob: the prediction probability of cloud typelcf: the low-cloud fraction of the low-cloud-dominated block.sensor_zenith: the sensor zenith angle at the center of the low-cloud-dominated blockFive latitude and longitude points for the four corners and center of the chopped blocksThe DOIs of the related datasets in this project are:MYD_L2_CB_001 DOI: 10.5067/DFDGJR6707D8MYD_L3_OFLCT_001 DOI: 10.5067/3FAIC739DQRH
LIDAROGRAPHY / Low Point Cloud Bull
Testing SiteScape app scanning. Source: Objaverse 1.0 / Sketchfab
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