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132 results for “climate, precipitation”
Data from: Precipitation and temperature timings underlying bioclimatic variables rearrange under climate change globally
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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.
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Precipitation manipulation and terrestrial carbon cycling: the roles of treatment magnitude, experimental duration, and local climate
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Precipitation Efficiency Constraint on Climate Change
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Model output for a storyline analysis of hurricane Irma's precipitation under various levels of climate warming
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Data from: Climatic temperature and precipitation jointly influence body size in species of western rattlesnakes
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Divergent responses of grassland productivity and plant diversity to intra-annual precipitation variability across climate regions: A global synthesis
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Data from: Enriched East Asian oxygen isotope of precipitation indicates reduced summer seasonality in regional climate and westerlies
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H. J. Andrews Experimental Forest site, station Climatic Station at Watershed 2, study of precipitation in units of centimeter on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains precipitation measurements in centimeter units and were aggregated to a monthly timescale.
H. J. Andrews Experimental Forest site, station Climatic Station at Watershed 2, study of precipitation in units of centimeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains precipitation measurements in centimeter units and were aggregated to a yearly timescale.
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>
Ramping simulations from "Global Precipitation Correction Across a Range of Climates Using CycleGAN"
<p>Four-year ramping simulations from "Global Precipitation Correction Across a Range of Climates Using CycleGAN" depicting the real input C48 and C384 precipitation and the generated C384 (ML) and C48 (ML) precipitation based on these inputs for each 3-hourly sample.</p>
Precipitation efficiency amplifies climate sensitivity by enhancing tropical circulation slowdown and Eastern Pacific warming pattern
<p class="MsoNormal"><span>Cloud processes are the largest source of uncertainty in quantifying the global temperature response to CO<sub>2</sub> rise. Still, the role of precipitation efficiency (PE) – surface rain per unit column-integrated condensation – is yet to be quantified. Here we use 36 limited-domain cloud resolving simulations from the Radiative-Convective Equilibrium Model Intercomparison Project to show that they strongly imply climate warming will result in increases to net precipitation efficiency. We then analyze 35 General Circulation Models (GCMs) from the Coupled Model Intercomparison Project Phase 6 and find that increasing PE enhances tropical circulation slowdown and strengthens eastern equatorial Pacific warming. These changes trigger pan-tropical positive cloud feedback by causing stratiform anvil cloud reduction and stratocumulus suppression, and thereby amplify overall climate sensitivity. Quantitatively, we find that in the 24 of 35 GCMs which match the cloud-resolving models in simulating increasing PE with greenhouse warming, mean Effective Climate Sensitivity is 1 K higher than in GCMs in which PE decreases. The models simulating increasing PE also comprise all estimates of effective climate sensitivity over 4 K. Taken together, these results show that further constraining PE sensitivity to warming will reduce uncertainty over future climate change.</span></p>
Landslide Sensitivity and Response to Precipitation Changes in Wet and Dry Climates
<p>This dataset contains shapefile polygons for the landslide inventories constructed by Handwerger et al. (2022). The file named "Handwerger_ARIA_based_landslide_inventory.zip" contains the shapefile polygons for the full landslide inventory. For more details see Figure 1c and Table S3 in Handwerger et al. (2022). The file named "Handwerger_landslides_selected4timeseries.zip" contains shapefile polygons for the 38 landslides selected for time series analyses. For more details see Figure 2, Figure 3, and Table S4 in Handwerger et al. (2022).</p> <p>These landslide inventories are fully described in Handwerger, A. L., Fielding, E. J., Sangha, S. S., & Bekaert, D. P. S. (2022). Landslide sensitivity and response to precipitation changes in wet and dry climates. Geophysical Research Letters, 49, e2022GL099499. https://doi.org/10.1029/2022GL099499.</p>
Precipitation-induced dissipation limits storm kinetic energy in a warming climate
<p>This zip file contains data and codes to reproduce the figures of a manuscript on precipitation-induced dissipation in X-SHiELD.</p> <p>Contact mbolot@princeton.edu for questions.</p>
Presence, precipitation, and temperature data used to estimate eastern forest songbird historical distributions using climatic niche modeling
<p>Boundaries between vegetation types, known as ecotones, can be dynamic in response to climatic changes. The North American Great Plains includes a forest-grassland ecotone in the south-central United States that has expanded and contracted in recent decades in response to historical periods of drought and pluvial conditions. This dynamic region also marks a western distributional limit for many passerine birds that typically breed in forests of the eastern United States. To better understand the influence that variability can exert on broad-scale biodiversity, we explored historical longitudinal shifts in the western extent of breeding ranges of eastern forest songbirds in response to the variable climate of the southern Great Plains. We used climatic niche modeling to estimate current distributional limits of nine species of forest-breeding passerines from 30-year average climate conditions from 1980 to 2010. During this time the southern Great Plains experienced an unprecedented wet period without periodic multi-year droughts that characterized the region's long-term climate from the early 1900s. Species' climatic niche models were then projected onto two historical drought periods: 1952–1958 and 1966–1972. Threshold models for each of the three time periods revealed dramatic breeding range contraction and expansion along the forest-grassland ecotone. Precipitation was the most important climate variable defining breeding ranges of these nine eastern forest songbirds. Range limits extended farther west into southern Great Plains during the more recent pluvial conditions of 1980–2010 and contracted during historical drought periods. An independent dataset from BBS was used to validate 1966–1972 range limit projections. Periods of lower precipitation in the forest-grassland ecotone are likely responsible for limiting the western extent of eastern forest songbird breeding distributions. Projected increases in temperature and drought conditions in the southern Great Plains associated with climate change may reverse range expansions observed in the past 30 years.</p>
Multi-model ensemble bias-corrected precipitation dataset for historical and future climate (1961–2099) in China
<p>本文基于耦合模式比较项目第六阶段(CMIP6)的27个全球气候模式(GCM),采用随机森林(RF)模型和EQM方法整合27个大气监测模型的降水模拟数据,进一步修正中国综合月降水数据。修正后的降水资料在月降水量和极端降水量方面均明显优于原GCM降水资料。数据以 GeoTIFF 格式,其中嵌入了具有 1° 空间分辨率的地理配准信息。LST在GeoTIFF中的单位是mm。压缩文件被命名为历史文件.zip、SSP126.zip、SSP245.zip 和 SSP585.zip。压缩文件中的每个文件都命名为“yyyymm.tif”,其中“yyyy”和“mm”分别表示年份和月份。例如,文件“196101.tif”存储了 1961 年 1 月中国每月降水量。</p>
Data from: Intraspecific variation of a dominant grass and local adaptation in reciprocal garden communities along a US Great Plains’ precipitation gradient: implications for grassland restoration with climate change
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Precipitation efficiency amplifies climate sensitivity by enhancing tropical circulation slowdown and Eastern Pacific warming pattern
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Presence, precipitation, and temperature data used to estimate eastern forest songbird historical distributions using climatic niche modeling
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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)
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.