Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
66
datasets available to search
ShareScore release 0.9.0
Dataset results
66 results for “Precipitation changes”
Precipitation Efficiency Constraint on Climate Change
<p>Precipitation efficiency (PE) relates cloud condensation to precipitation and intrinsically binds atmospheric circulation to the hydrological cycle. Due to PE's inherent microphysical dependencies, definitions and estimates vary immensely. Consequently, PE's sensitivity to greenhouse warming and implications for climate change are poorly understood. Here, we quantify PE's role in climate change by defining a simple index as the ratio of surface precipitation to condensed water path. This macroscopic metric is reconcilable with microphysical PE measures and higher is associated with stronger mean Walker circulation. We further find that state-of-the-art climate models disagree on the sign and magnitude of future changes. This sign disagreement originates from models' convective parameterizations. Critically, models with increasing under greenhouse warming, in line with cloud-resolving simulations, show greater slowdown of the large-scale Hadley and Walker circulations and a two-fold greater increase in extreme rainfall than models with decreasing.</p>
Changes in productivity partitioning induced by precipitation extremes increase inaccuracy of grassland carbon estimation
<p><span>The fraction of net primary productivity (NPP) allocated to belowground organs (<em>f</em><sub>BNPP</sub>) in grasslands is a critical parameter in global carbon cycle models; moreover, understanding the effect of precipitation changes on this parameter is vital to accurately estimating carbon sequestration in grassland ecosystems. Here, by conducting both a precipitation gradient experiment (100–500 mm) and a long-term observational study (34 years) in the Inner Mongolia grassland, we showed that <em>f</em><sub>BNPP</sub> decreased linearly along the precipitation gradient from extreme drought to extreme wetness due to stronger responses in aboveground NPP (ANPP) to drought and wet conditions than those of BNPP. The linearly decreasing response pattern in <em>f</em><sub>BNPP</sub> should be incorporated into models that forecast carbon sequestration in grassland ecosystems; failure to do so will lead to underestimation of the carbon </span><span>stock</span><span> in drought years and overestimation of the carbon </span><span>stock</span><span> in wet years in grasslands.</span></p>
Linkage between projected warm season precipitation systems and thermodynamic and microphysical changes over eastern China
<p>Data used in the manuscript "Linkage between projected warm season precipitation systems and thermodynamic and microphysical changes over eastern China" which was submitted to Journal of Geophysical Research: Atmospheres. </p>
The accelerating loss of resilience in suburban woodlands can largely be attributed to changes in urban precipitation patterns
<p><span>Vegetation resilience holds significant importance for stabilizing ecosystem service functions in a changing climate. While global land surface vegetation resilience changes have been extensively studied, the impact of urbanization on the resilience of suburban woodlands remains inadequately understood.</span> <span>In this study, we utilized two Critical Slowing Down (CSD) indicators, namely lag-one autocorrelation (LOA) and variance (VA), to assess the vegetation resilience, its long-term trends, and influencing factors in suburban woodlands across 1,356 cities worldwide. The recovery rates estimated by LOA (r<sub>r1</sub>) and VA (r<sub>r2</sub>) showed close alignment in suburban woodlands with low suburban forest coverage (SFC) areas (correlation coefficient (r)=0.95). However, a notable divergence was observed in areas with high SFC (r=0.73). Suburban woodlands with high SFC typically exhibited lower recovery rate estimates, thus indicating greater vegetation resilience compared to areas with lower SFC. From 1986 to 2022, the recovery rates of suburban woodland areas in over 83% of the cities demonstrated a significant upward trend, with an average of 3.23×10<sup>−3</sup> yr<sup>−1</sup> for both r<sub>r1</sub> and r<sub>r2</sub>, signifying a widespread decline in vegetation resilience. The accelerating pace of urbanization led to higher rising rates of r<sub>r1</sub> and r<sub>r2</sub> during 2010-2022 (5.11×10<sup>−3</sup> yr<sup>−1</sup>) compared to 1986-1999 (0.49×10<sup>−3</sup> yr<sup>−1</sup>). The notable decrease in resilience of forestland was primarily attributed to reduced precipitation in urban suburbs, which can be explained by urbanization-induced heat island and building barrier effects, causing a shift of precipitation center from urban suburbs to central cities. In summary, this study revealed that urbanization diminishes the vegetation resilience of urban suburban woodlands by altering urban precipitation patterns. These findings underscore the necessity of augmenting water availability in urban suburbs to restore resilience in these woodlands, thereby enhancing their ecosystem service value.</span></p>
The accelerating loss of resilience in suburban woodlands can largely be attributed to changes in urban precipitation patterns
<p><span>Vegetation resilience holds significant importance for stabilizing ecosystem service functions in a changing climate. While global land surface vegetation resilience changes have been extensively studied, the impact of urbanization on the resilience of suburban woodlands remains inadequately understood.</span> <span>In this study, we utilized two Critical Slowing Down (CSD) indicators, namely lag-one autocorrelation (LOA) and variance (VA), to assess the vegetation resilience, its long-term trends, and influencing factors in suburban woodlands across 1,356 cities worldwide. The recovery rates estimated by LOA (r<sub>r1</sub>) and VA (r<sub>r2</sub>) showed close alignment in suburban woodlands with low suburban forest coverage (SFC) areas (correlation coefficient (r)=0.95). However, a notable divergence was observed in areas with high SFC (r=0.73). Suburban woodlands with high SFC typically exhibited lower recovery rate estimates, thus indicating greater vegetation resilience compared to areas with lower SFC. From 1986 to 2022, the recovery rates of suburban woodland areas in over 83% of the cities demonstrated a significant upward trend, with an average of 3.23×10<sup>−3</sup> yr<sup>−1</sup> for both r<sub>r1</sub> and r<sub>r2</sub>, signifying a widespread decline in vegetation resilience. The accelerating pace of urbanization led to higher rising rates of r<sub>r1</sub> and r<sub>r2</sub> during 2010-2022 (5.11×10<sup>−3</sup> yr<sup>−1</sup>) compared to 1986-1999 (0.49×10<sup>−3</sup> yr<sup>−1</sup>). The notable decrease in resilience of forestland was primarily attributed to reduced precipitation in urban suburbs, which can be explained by urbanization-induced heat island and building barrier effects, causing a shift of precipitation center from urban suburbs to central cities. In summary, this study revealed that urbanization diminishes the vegetation resilience of urban suburban woodlands by altering urban precipitation patterns. These findings underscore the necessity of augmenting water availability in urban suburbs to restore resilience in these woodlands, thereby enhancing their ecosystem service value.</span></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"
<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>
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: 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>
Data from: Precipitation and temperature timings underlying bioclimatic variables rearrange under climate change globally
Open the record for dataset details and reuse information.
Data from: Winners and losers from climate change: An analysis of tree growth and survival responses to temperature and precipitation for roughly 150 species across the contiguous U.S.
Open the record for dataset details and reuse information.
Context-dependent impact of changes in precipitation on the stability of grassland biomass
Open the record for dataset details and reuse information.
Precipitation Efficiency Constraint on Climate Change
Open the record for dataset details and reuse information.
Effect of changing precipitation in different periods on precipitation use efficiency in a semi-arid grassland
Open the record for dataset details and reuse information.
Data from: Nitrogen availability and changes in precipitation alter microbially-mediated N emissions from a Pinyon Juniper dryland
Open the record for dataset details and reuse information.
Precipitation variability can bias estimates of ecological controls on ecosystem productivity response to precipitation change
Open the record for dataset details and reuse information.
Data from: Two decades of evolutionary changes in Brassica rapa in response to fluctuations in precipitation and severe drought
Open the record for dataset details and reuse information.
Dominant species drive ecosystem multifunctionality under changed precipitation timing in a semi-arid steppe
Open the record for dataset details and reuse information.
Data for: Radiative feedbacks on land surface change and associated tropical precipitation shifts
Open the record for dataset details and reuse information.
Is winter precipitation change over Europe underestimated in current climate projections?
<p>Model output, observational data, and scripts corresponding to the manuscript "Is winter precipitation change over Europe underestimated in current climate projections?"</p> <p><strong>Abstract</strong></p> <p>IPCC models project a likely increase in winter precipitation over northern Europe under a high-emission scenario. These projections, however, typically rely on relatively coarse ~100-km-resolution models that might misrepresent important processes driving precipitation, such as extratropical cyclone activity. Here, we show that a pioneering 50-km-atmosphere–1/12°-ocean global coupled model simulation projects a substantially larger increase in winter precipitation over northwestern Europe by mid-century than lower-resolution configurations. For this increase, both the highest ocean and atmosphere resolutions are essential: First, only the eddy-rich (1/12°) ocean projects a progressive northward shift and warming of the Gulf Stream. Second, only the 50-km atmosphere translates such warming into strengthened North Atlantic extratropical cyclone activity through enhanced diabatic heating and eddy-driven jet. Our results suggest that climate projections using traditional ~100-km-resolution models might underestimate the precipitation increase over Europe in winter and, consequently, the related potential risks.</p>
Data and R Markdown files for: Estimating the capacity of Chamaecrista fasciculata for adaptation to change in precipitation
<p>Adaptation through natural selection may be the only means by which small and fragmented plant populations will persist through present day environmental change. A population's additive genetic variance for fitness (V<sub>A</sub>(W)) represents its immediate capacity to adapt to the environment in which it exists. We evaluated this property for a population of the annual legume <i>Chamaecrista fasciculata</i> through a quantitative genetic experiment in the tallgrass prairie region of the Midwest USA, where changing climate is predicted to include more variability in rainfall. To reduce incident rainfall, relative to controls receiving ambient rain, we deployed rain exclusion shelters. We found significant V<sub>A</sub>(W) in both treatments. We also detected a significant genotype-by-treatment interaction for fitness which suggests that the genetic basis of the response to natural selection will differ depending on precipitation. For the trait specific leaf area, we detected maladaptive phenotypic plasticity and an interaction between genotype and environment. Selection for thicker leaves was detected with increased precipitation. These results indicate capacity of this population of <i>C. fasciculata</i> to adapt <i>in situ</i> to environmental change.</p>
ScienceDex guides
Understand access before you commit
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.