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14 results for “Precipitation type”
Circulation type classifications for surface temperature and precipitation optimized for Italy
<p>The four files are two couple of files for two circulation type classifications (pct9 and san9) optimized for Italy, in order to stratify precipitation and surface temperature respectively.</p> <p>"pct9.cla" and "san.cla" are the circulation type daily series between 1979 and 2015 computed on mean sea level pressure (MSLP) and geopotential height at 500 hPa (500HGT) respectively. Meteorological fields are extracted by the NCEP-NCAR Reanalysis 2 dataset.</p> <p>"pct-nc.txt" and "san9-nc.txt" are the centroid values of MSLP and 500HGT respectively, computed on 9 classes over a spatial domain of 7 X 7 grid points across Italy.</p> <p>These files are created through the COST733 software package (DOI: 10.1002/joc.3920). </p> <p>The pct9 and san9 classifications were selected as the best performing for the stratifacation of precipitation and surface temperature respectively across Italian peninsula, through a sensitivity analysis detailed in a specific study (DOI: 10.1002/joc.5219). In summary several circulation type classifications were computed with different classification methods, number of types and classification variables (i.e. predictands). Then such classifications were compared through the use of proper statistical indexes in order to assess the stratification of the ground-level precipitation and the surface air temperature across Italian peninsula.</p> <p>These two classifications could be evaluated also for other meteorological or environmental variables.</p>
Winter Precipitation-Type Models for "Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications"
<p>This contains trained model weights, scalers, and evaluation metrics for the winter precipitation-type models trained as part of the paper "Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications". </p>
GPM-GMI full-swath precipitation type flag
<p>This project includes the full-swath GPM-GMI precipitation type flag retrieval for the year 2014. Due to file size limit, only March, April, June, July, August, November and December data are uploaded. Users are encouraged to contact the publisher for more days of retrievals. Retrieval is available at each GMI 1CR footprint as a probability. The reference paper is:</p> <p>Das, S., Y. Wang, <a href="https://science.gsfc.nasa.gov/sed/index.cfm?fuseAction=people.jumpBio&iphonebookid=40680">J. Gong</a>, <a href="https://science.gsfc.nasa.gov/sed/#">et al.</a> 2022. "A Comprehensive Machine Learning Study to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements." <em>Remote Sensing</em>, <strong>14 </strong> <strong>(15):</strong> 3631 [<a href="http://dx.doi.org/10.3390/rs14153631">10.3390/rs14153631</a>]</p> <p>Note that in the paper, retrievals are only available over land, but we made it available globally later on and are included in these data files.</p> <p>Users are directed to read the "README" file for details on how to screen and use the data. Two plotting sample codes are provided in IDL and Python respectively.</p>
Effect of Urinary Alkalinization on Urine Uric Acid Precipitation and Crystallization in Adults With Type 1 Diabetes
ClinicalTrials.gov study NCT02502071. IPD Sharing: Not stated. Countries: 1. Publications: 12.
Phytolith-occluded carbon sequestration potential in three major steppe types along a precipitation gradient in Northern China
<p>Phytolith-occluded carbon (PhytOC) is an important long-term stable carbon fraction in grassland ecosystems, and plays a promising role in global carbon sequestration. Determination of the PhytOC traits of different plants in major grassland types is crucial for precisely assessing their phytolith carbon sequestration potential. Precipitation is the predominant factor in controlling net primary productivity (NPP) and species composition of the semiarid steppe grasslands. We selected three representative steppe communities of the desert steppe, the dry typical steppe and the wet typical steppe in Northern Grasslands of China along a precipitation gradient, to investigate their species composition, biomass production and PhytOC content for quantifying its long-term carbon sequestration potential. Our results showed that (i) the phytolith and PhytOC contents in plants differed significantly among species, with dominant grass and sedge species having relatively high contents, and the contents are significantly higher in the below- than the aboveground parts. (ii) The phytolith contents of plant communities were 16.68, 17.94 and 15.85 g kg<sup><span>-1</span></sup> in the above- and 86.44, 58.73 and 76.94 g kg<sup><span>-1</span></sup> in the belowground biomass of the desert steppe, the dry typical steppe and the wet typical steppe, respectively; and the PhytOC contents were 0.68, 0.48 and 0.59 g kg<sup><span>-1</span></sup> in the above- and 1.11, 0.72 and 1.02 g kg<sup><span>-1</span></sup> in the belowground biomass of the three steppe types. (iii) Climatic factors affected phytolith and PhytOC production fluxes of steppe communities mainly through altering plant production, whereas their effects on phytolith and PhytOC contents were relatively small. Our study provides more evidence on the importance of incorporating belowground PhytOC production for estimating phytolith carbon sequestration potential, and suggests it crucial to quantify belowground PhytOC production taking into account of plant perenniality and PhytOC deposition over multiple years.</p>
Dataset for the study "Deep Learning-Based Precipitation Simulation for Different Types of Weather Events in Eastern China"
<p>This dataset contains the data and codes used in the study "Deep Learning-Based Precipitation Simulation for Different Types of Weather Events in Eastern China". The resources will be updated continously.</p>
Functional diversity response to geographic and experimental precipitation gradients varies with plant community type
<p><span>Precipitation is a primary determinant of plant community structure in drylands. However, the empirical evidence and predictions are lacking for how plant functional diversity in desert and steppe communities respond to altered precipitation regimes. </span></p> <p><span>We examined how precipitation changes along the natural and experimental gradients affect different components of functional diversity in desert-shrub and steppe-grass communities. We compared the associations of precipitation changes with community-weighted means (CWM) of six traits, functional divergence (FDvar) of each single-trait, and multi-trait functional richness (FRic) and dispersion (FDis) for shrub and grass communities along the natural and experimental gradients. We also disentangle the roles of species turnover and intraspecific variations in affecting the responses of different functional diversity to precipitation changes. </span></p> <p><span>We found that in general, the similar responses of functional traits or diversity to both the natural and experimental precipitation gradient were dependent on plant community type. Across both two gradients, precipitation was positively associated with CWM of plant height and negatively associated with the CWM of specific leaf area and leaf thickness in grass community, while positively associated with FDvar of four traits and FDis in shrub communities. Both species turnover and intraspecific variations contributed to the responses of grass community traits to precipitation changes across both two gradients, and to functional divergence of traits and FDis in shrub community along the natural gradient. In contrast, species turnover variations contributed to functional divergence of traits and FDis in shrub community in experiment. </span></p> <p><span>These results suggest that there is better concordance between the effects of naturally and experimentally increased precipitation on functional diversity of plant communities, but different mechanisms behind the relationship of functional diversity-precipitation between shrub and grass communities. Grass communities can adapt to precipitation changes by average trait differences, while shrub communities persist through the functional divergence of single-trait and multi-trait dispersion, thus highlighting the important differences in adaptive strategies between shrub and grass communities. Our findings demonstrate that the short-term responses of plant communities to manipulative precipitation changes can reflect long-term shifts at spatial scales depending on the specific functional trait and diversity.</span></p>
Phytolith-occluded carbon sequestration potential in three major steppe types along a precipitation gradient in Northern China
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Mass loss and nutrient release during the decomposition of sixteen types of plant litter with contrasting quality under three precipitation regimes
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Functional diversity response to geographic and experimental precipitation gradients varies with plant community type
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UKCP data on daily precipitation, jet diagnostics and weather types
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E3SM output for evaluating the simulation of CONUS precipitation by storm type
<p>E3SMv1 output for evaluating the simulation of CONUS precipitation by storm type.</p>
Supplementary to "The Overall Collection Efficiency of Catching-type Precipitation Gauges In Windy conditions"
<p>Supplementary material for the paper "The Overall Collection Efficiency of Catching-type Precipitation Gauges </p><p>In Windy conditions" submitted to the journal Water Resources Research</p>
Surface precipitation type based on new decision algorithm about 131 precipitation events in 5 ICE-POP 2018 sites
<p>The documents are decision results (+simple event description) of surface precipitation type based on new decision algorithm about 131 precipitation events in 5 ICE-POP 2018 sites.</p> <p>Simple event description include PARSIVEL V-D scatterplots and rawinsonde profiles.</p> <p>Please see Description_plot.pdf.</p> <p>and other pdf files show figures relating events belong to each types (RA[Rain], SN[Snow], RASN).</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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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.