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2,322 results for “precipitations”
ACCESS-ESM-1.5 net-zero emissions 1000-year long simulations: Seasonal temperature and precipitation gridded data with area-average timeseries of temperature, precipitation and sea ice data
<p>NetCDF files used in analysis shown in King et al. (2024) https://egusphere.copernicus.org/preprints/2024/egusphere-2023-2961/.</p> <p>Seasonal-average mapped 1.5 metre air temperature temperature data are in NetCDFs with "fld_s03i236" in their name. These files are for boreal summer "JJA" or boreal winter "DJF". The "B20__" represents the start year of the net-zero emissions simulation from which these data are drawn. These files each have 1000 time-steps and the data are in native resolution of ACCESS-ESM-1.5: 1.875 degrees longitude by 1.25 degrees latitude.</p> <p>Seasonally-averaged precipitation rate (kg/m2/s) data are in NetCDFs with "fld_s05i216" in their name. Seasons and simulation information follow the same format as the temperature files.</p> <p>The file "ts_gwl.nc" includes several timeseries used in the paper including global-average SST ("TEMP_SURFACE"), global mean ocean temperature ("TEMP_GLOBAL"), and March/September Arctic ("ICEN") and Antarctic ("ICES") sea ice extent.</p> <p>The scripts used to make the Figures are included and run using IDL version 9.0. </p> <p>For any advice on using these files please feel free to contact me: andrew.king@unimelb.edu.au.</p>
Data from: Do precipitation extremes drive growth and migration timing of a Pacific salmonid fish in Mediterranean‐climate streams?
Climate change is expected to increase weather extremes and variability, including more frequent weather whiplashes or extreme swings between severe drought and extraordinarily wet years. Shifts in precipitation patterns will alter stream flow regimes, affecting critical life history stages of sensitive aquatic organisms. Understanding how threatened fish species, such as steelhead/rainbow trout (Oncorhynchus mykiss), are affected by stream flows in years with contrasting environmental conditions is important for their conservation. Here, we report how extreme wet and dry years, from 2015 to 2018, affected stream flow patterns in two tributaries to the South Fork Eel River, California, USA, and aspects of O. mykiss ecology, including over‐summer fish growth and body condition as well as spring out‐migration timing. We found that stream flow patterns differed across years in the timing and magnitude of large winter–spring flow events and in summer low‐flow levels. We were surprised to find that differences in stream flows did not impact growth, body condition, or timing of out‐migration of O. mykiss. Fish growth was limited in the late summer in these streams (average of 0.02 ± 0.05 mm/d), but was similar across dry and wet years, and so was end‐of‐summer body condition and pool‐specific biomass loss from the beginning to the end of the summer. Similarly, O. mykiss migrated out of tributaries during the last week of March/first week of April regardless of the timing of spring flow events. We suggest that the muted response to inter‐annual hydrologic variability is due to the high quality of habitat provided by these unimpaired, groundwater‐fed tributaries. Similar streams that are likely to maintain cool temperatures and sufficient base flows, even in the driest years, should be a high priority for conservation and restoration efforts.
Data and GrADS scripts needed to reproduce the figures in the article "Probabilistic forecasts of near-term climate change: verification for temperature and precipitation changes from years 1971-2000 to 2011-2020"
<p>Data and GrADS scripts needed to reproduce the figures in the article "Probabilistic forecasts of near-term climate change: verification for temperature and precipitation changes from years 1971-2000 to 2011-2020", submitted for publication in Climate Dynamics.</p> <p>Please see the file README for further details.</p> <p> </p>
Precipitation manipulation and terrestrial carbon cycle: the roles of treatment magnitude, experimental duration, and background climate
<p><b>Aim: </b><a name="_Hlk62140683">Precipitation manipulation experiments have shown diverse terrestrial carbon (C) cycling responses when the ecosystem is subjected to different magnitudes of altered precipitation, various experimental durations, or heterogeneity in local climates. However, how these factors combine to affect C cycle responses to changes in precipitation remains unclear.</a></p> <p><b>Location</b>: Global.</p> <p><b>Time period</b>: 1990–2019.</p> <p><b>Major taxa studied</b>: Terrestrial ecosystems.</p> <p><b>Methods</b>: Using observations from 230 published studies in which precipitation was manipulated and terrestrial C cycling variables were measured, we conducted a global meta-analysis to investigate responses of diverse C cycle processes to altered precipitation, including gross ecosystem productivity, ecosystem respiration, net ecosystem productivity, ecosystem carbon use efficiency, net primary productivity, aboveground and belowground net primary productivity, aboveground and belowground biomass, shoot:root ratio, soil respiration, and soil microbial biomass C.</p> <p><b>Results</b>: <a name="_Hlk50913646"></a><a name="_Hlk62140761">We found that C cycling responses correlated linearly and positively with the magnitude of precipitation treatments, in that C cycling variables increased under increased precipitation, and decreased under decreased precipitation. </a>We also detected that the responses of net primary productivity (NPP) and its aboveground component (ANPP) to altered precipitation weakened with experimental duration. Furthermore, gross ecosystem productivity, ecosystem respiration, and net ecosystem productivity had larger responses to precipitation treatments of greater magnitude over shorter time periods. The response of soil respiration, a key component of the C budget in most terrestrial ecosystems, particularly depended on the background climate. Local temperature and precipitation not only influenced the magnitude of the response of soil respiration to altered precipitation but also affected its sensitivity to the magnitude of the precipitation treatments, with higher sensitivities in the response of soil respiration to treatment magnitude at drier and colder sites.</p> <p><b>Main conclusions</b>: <a name="_Hlk62140806">Our findings highlight the importance of the interactions between the magnitude of precipitation treatments, their duration, and local climate in the response of ecosystem C cycling to precipitation, which is critical to better understanding and projecting ecosystem C processes and functioning under changing precipitation regimes.</a></p>
Shrub influence on soil carbon and nitrogen in a semi-arid grassland is mediated by precipitation and largely insensitive to livestock grazing
<p>Dryland (arid and semi-arid) ecosystems globally provide more than half of livestock production and store roughly one-third of soil organic carbon (SOC). Biogeochemical pools are changing due toshrub encroachment, livestock grazing, and climate change. We assessed how vegetation microsite, grazing, and precipitation interacted to affect SOC and total nitrogen (TN) at a site with long-term grazing manipulations and well-described patterns of shrub encroachment across elevation and mean annual precipitation (MAP) gradients. We analyzed SOC and TN in the context of vegetation cover at ungrazed locations within livestock exclosures, high-inten- sity grazing locations near water sources, and moderate-intensity grazing locations away from water. SOC was enhanced by MAP (p<0.0001), but grazing intensity had little effect regardless of MAP (p = 0.12). Shrubs enhanced SOC (300–1279 g C m2) and TN (27–122 g N m2), except at high MAP where the contribution or stabilization of shrub inputs relative to grassland inputs was likely diminished. Cover of perennial herbaceous plants and litter were significant predictors of SOC (r2 = 0.63 and 0.34, respectively) and TN (r2 = 0.64 and 0.30, respectively). Our results suggest that continued shrub encroachment in drylands can increase SOC storage when grass production remains high, although this response may saturate with higher MAP. In contrast, grazing – at least at the intensities of our sites – has a lesser effect. These effects underscore the need to understand how future climate and grazing may interact to influence dryland biogeochemical cycling.</p>
Dataset used in publication "Effects of local and remote black carbon aerosols on summer monsoon precipitation over India"
<p>Essential model data used to produce the figures and tables in publication "Effects of local and remote black carbon aerosols on summer monsoon precipitation over India"</p>
Comparing the Influence of Global Warming and Urban Anthropogenic Heat on Extreme Precipitation in Urbanized Pearl River Delta Area Based on WRF Dynamical Downscaling
<p>The simulation outputs from the Weather Research and Forecasting (WRF) v3.8.1 coupled with single layer urban canopy model from three experiments (HIST_AH300, HIST_AH0, and RCP85_AH300).</p> <p>Variables include hourly precipitation, wind, specific humidity, relative humidity, convective available potential energy, convective inhibition, temperature, model height, land use land cover, and topography.</p> <p> </p>
Dataset for "A novel method to identify sub-seasonal clustering episodes of extreme precipitation events and their contributions to large accumulation periods"
<p>Dataset for "A novel method to identify sub-seasonal clustering episodes of extreme precipitation events and their contributions to large accumulation periods".</p> <p>Added file "Obs_metrics_all.RData" containing p-value for significance test of the clustering metric S_cl.</p> <p>Accepted version (August 2021).</p>
Triple-frequency (Ka-, W- and G-band) radar observations of a light precipitation event
<p>Triple-frequency (Ka-, W- and G-band) radar observations of a light precipitation event. Data is either in raw IQ form or processed spectral data.</p>
Evolutionary history and precipitation seasonality shape niche overlap in Neotropical bat-plant pollination networks
<p>Species interactions are one dimension of the niche, and niche overlap arises when two species share an interaction partner. In pollination systems, environmental and biotic factors impact the niche overlap. Here we explored the effects of climate seasonality, plant and bat richness, morphological traits, and phylogenetic distance in shaping the niche overlap of Neotropical bat-plant pollination networks. For that, we used a dataset of 22 bat-plant pollination networks in the Neotropical region. We measured niche overlap in bats and plants with the Morisita-Horn index, ĈH, and then, we used a SAR model to test the relationships between niche overlap and the abiotic and biotic factors. We found a lower niche overlap among bats in communities composed of phylogenetically distant bat species. Moreover, plant and bat overlap were lower in regions with higher precipitation seasonality. Our results indicate that climate seasonality and bat evolutionary history drive niche overlap in Neotropical bat-plant pollination interactions. These findings suggest that a higher precipitation seasonality may promote the emergence of temporal modules reducing niche overlap, probably as a consequence of seasonal species phenologies. Furthermore, the method used to record the interactions impacts the degree of niche overlap. Interactions recorded with pollen samples tend to have higher niche overlap than direct observations. The uncoupled responses of morphological traits and phylogenetic distances in bat niche overlap suggest an effect of historical processes independently of the morphological traits. Our study reinforced the importance of evolutionary history and ecological processes in imprinting patterns of interaction niche overlap.</p>
Dataset: Powering Earth's ancient dynamo with silicon 2 precipitation
<p>Collated experimental dataset used in this study. Study, temperature, pressure and normalised molar concentrations of Fe, Si, O, C, S, Mg, FeO, SiO2 and MgO in metal and silicate from partitioning experiments.</p>
Data for the paper: Equilibrium climate sensitivity increases with aerosol concentration due to changes in precipitation efficiency
<p>This data-set contains the data requires for the paper "Equilibrium climate sensitivity increases with aerosol concentration due to changes in precipitation efficiency" by Guy Dagan</p> <p>The indexes (20/200/2000) in the variable name represent the aerosol concentration in the relevel simulation. The other index (1/2/4) represent the CO2 concentration (1 time, 2 times and 4 times the pre-industrial conditions). Other than that, the variables names are as they appear in the manuscript. </p>
Data from: Mixed Signals from the Stable Isotope Composition of Precipitation and Plant Waxes in the Northern Tropical Andes
<p>These files are the supplementary information for Pérez‐Angel, L. C., Sepúlveda, J., Montes, C., Smith, J. J., Molnar, P., González-Arango, C., Snell, K., Dildar, N., Mixed Signals from the Stable Isotope Composition of Precipitation and Plant Waxes in the Northern Tropical Andes. Journal of Geophysical Research: Biogeosciences (In Revision). </p> <p> </p> <p>This work was funded by the National Science Foundation NSF | GEO | Division of Earth Sciences (EAR): 1929199</p>
Generation of combined daily satellite-based precipitation products over Bolivia - Generated Precipitation Data
<p><strong>A journal paper published in Remote Sensing details the method to generate the data.</strong></p> <p>Saavedra, O.; Ureña, J. Generation of Combined Daily Satellite-Based Precipitation Products over Bolivia. <em>Remote Sens.</em> <strong>2022</strong>, <em>14</em>, 4195. https://doi.org/10.3390/rs14174195</p>
Gauge data used in 'An improved near-real-time precipitation retrieval for Brazil' by Pfreundschuh et al.
<p>The rain gauge measurements were compiled by the National Institute of Meteorology of Brazil 40 and consist of hourly gauge measurements covering the time range May 2000 until May 2020. They are used as reference data 'An improved near-real-time precipitation retrieval for Brazil' by Pfreundschuh et al. and published here in order to ensure reproducibility.</p>
GSDR-I Global Sub-Daily Precipitation Indices - Dataset
<p>Gauge and gridded time series indices and supplementary statistics from GSDR-I (an observation-based dataset of global sub-daily precipitation indices)</p>
GSDR-I Global Sub-Daily Precipitation Indices - Validation Figures
<p>Validation figures for gauge and gridded time series indices and supplementary statistics from GSDR-I (an observation-based dataset of global sub-daily precipitation indices)</p>
Biasadjusted Regional Climate Model Data for Europe - Precipitation
<p>This repository contains the bias-adjusted precipitation data used in the production of numbers and figures contained in our research article entitled "Climate-based identification of suitable cropping areas for giant reed and reed canary grass on marginal land in central and southern Europe under climate change".</p> <p>Ferdini S., von Cossel M., Wulfmeyer V., Warrach-Sagi K. (2023) Climate-based identification of suitable cropping areas for giant reed and reed canary grass on marginal land in central and southern Europe under climate change. <em>Global Change Biology - Bioenergy.</em></p>
Data from: Indices of Extremes: Geographic patterns of change in extreme temperature and precipitation under climate intervention
<p>This dataset comprises the python notebooks and associated data used to produce Figures 1-9, 12-14, and all supplemental figures in Tye et al. 2022 "Indices of Extremes: Geographic patterns of change in extremes and associated vegetation impacts under climate intervention" Earth System Dynamic, 13, 1233-1257. https://doi.org/10.5194/esd-13-1233-2022</p> <p>Script is also included to process data from NCAR's HPC Campaign archive and produce figures 10 and 11.</p> <p>The full output from the GLENS simulation are available from from https://data.ucar.edu/dataset/stratospheric-aerosol-geoengineering-large-ensemble-project-glens</p> <p> </p> <p> </p>
Mercury particle precipitation using full-PIC global simulations
<p>Datasets and scripts concerning particle precipitation on the surface of Mercury derived from two implicit full-PIC simulations. We use the code iPIC3D to simulate the interaction between the solar-wind and the planet's magnetic environment. In this file we include (i) the 3D magnetic field data at steadystate, (ii) the particle precipitating on the planets at different times and (iii) the cross-sections of electron induced X-ray fluorescence emission between precipitating electrons and surface ions. Further details on the simulations can be found in: arXiv:2209.08517</p> <p>To clarify the usage of such different datasets, we include two modules to process the data in python (directory <em>src</em>) and few tests showing the capabilities of these modules (directory <em>test</em>). Images created from such tests can be found in the directory <em>images</em>.</p>
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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)
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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.