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30 results for “Hydroclimate”
Data for "Hydroclimate Volatility on a Warming Earth"
<p><strong>The data archived here represents data files and code used in the publication “Hydroclimate Volatility on a Warming Earth” by Swain et al. 2025. </strong>Here, we include the derived "hydroclimate whiplash" variable used in the summary analysis described in the published paper as calcuated for the historical period (ending in 2023) the ERA5 reanalysis (ERA5), and the NOAA-CIRES-DOE 20CRv3 reanalysis (NCD20C), as well as the future period (2014-2100 using SSP3-7.0 forcing) from the CESM2 Large Ensemble (CESM2-LE). Additionally, code used in the analysis discussed in the associated published manuscript is also available in this repository.</p>
Precipitation objects under the current and future climate: WRF 6-km hydroclimate simulation of the western US
<p>This folder includes the precipitation objects that are used in the following manuscript:</p> <p>Chen et al., Sharpening of Cold Season Storms over the Western US.</p> <p>It is generated using WRF V3.8 at PNNL. A historical simulation ("NARR") is done for 1981-2010, and five future simulations ("CanESM2", "CESM1-CAM5", "GFDL-ESM2M", "HadGEM2-ES", "MPI-ESM-MR") are done for 2041-2070 using the Pseudo Global Warming (PGW) approach. For the WRF model configuration and the simulation details, please refer to the abovementioned manuscript and Chen et al. (2018).</p> <p>This is the preliminary version of the dataset that contains the precipitation object features as analyzed in the manuscript. More data (including the WRF raw precipitation output) and the finalized scripts will be included here before the manuscript is published.</p> <p> </p> <p>Reference:</p> <p>Chen, X., L. R. Ruby, Y. Gao, Y. Liu, M. Wigmosta, and M. Richmond (2018), Predictability of Extreme Precipitation in Western U.S. Watersheds Based on Atmospheric River Occurrence, Intensity, and Duration, <em>Geophys. Res. Lett.</em> doi: <a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2018GL079831">10.1029/2018GL079831</a></p> <p>Chen, X., L. R. Ruby, Y. Gao, Y. Liu, and M. Wigmosta (2023), Sharpening of Cold Season Storms over the Western US, Nat. Clim. Change. doi: <a href="https://www.nature.com/articles/s41558-022-01578-0">10.1038/s41558-022-01578-0</a> </p>
Using Hydroclimate Modeling and Social Science to Enhance Flood Resilience on Lake Ontario through the Climate Smart Communities Program
<p>This repository contains several data products associated with the New York Sea Grant project R/CHD-15 entitled <em>Using Hydroclimate Modeling and Social Science to Enhance Flood Resilience on Lake Ontario through the Climate Smart Communities Program.</em><strong><em> </em></strong>These products include:</p> <p>1. Estimates of the 25-year, 50-year, and 100-year flood across the New York coastline of Lake Ontario. These design events (reported in feet) are for still water levels that take into account both average water levels across the lake as well as local variations in water level due to storm surge. Wave setup and wave run-up are not considered in these design events. The design events incorporate the effects of water level regulation and the potential impacts of climate change on water supplies to Lake Ontario, and they are tailored for 79 unique locations along the shoreline (identified based on longitude and latitude). These flood levels are presented in an online flood risk assessment tool at: https://kts48.users.earthengine.app/view/lake-ontario-water-level-scenarios</p> <p>2. Protocols and summary of results for a series of focus groups and structured telephone interviews with local officials from communities along the Lake Ontario shoreline to assess barriers to participation in the New York State Climate Smart Communities Program.</p> <p>3. A Crosswalk between activities and administrative requirements of the New York State Climate Smart Communities Program and other federal and state flood resiliency programs. </p> <p>4. A final report summarizing the products above. </p>
Columbia River headwaters - hydroclimate and glacier change, 1977-2017
<p>These data files were used in the production of a manuscript titled "Detecting the effects of sustained glacier wastage on streamflow in variably glacierized catchments" by R.D. Moore, B. Pelto, B. Menounos and D. Hutchinson.</p> <p>cb_shapes - polygons of catchment boundaries for the catchments included in the analysis</p> <p>cq.csv - streamflow and climatic data used in regression and trend analyses within the script "cbt_aug_flow_analysis.r"</p> <p>good_stn.csv - contains station IDs for Water Survey of Canada stations that met selection criteria</p> <p>stn_info.csv - catchment characteristics for Water Survey of Canada stations included in the analysis</p> <p>cbt_metadata.xlsx - full metadata for catchments used in the analysis</p> <p>*.r - R scripts used to conduct analyses and generate figures</p> <p> </p>
Supplement A. Wolf et al: 'Western Caucasus regional hydroclimate controlled by cold-season temperature variability since the Last Glacial Maximum'
<p>This repository contains all proxy data presented in A. Wolf et al, "Western Caucasus regional hydroclimate controlled by cold-season temperature variability since the Last Glacial Maximum". The data can be used to replicate figures and analyses presented in the main text. Additionally, data can be accessed in the supplement material and in the data availability statement. </p>
Dataset for Hydroclimate risk to electricity balancing throughout the U.S. paper
<p>Data and working scripts for publication "Hydroclimate risk to electricity balancing throughout the U.S." </p>
Paleobotanical precipitation estimates used in Williams et al.: African hydroclimate monsoon during the early Eocene from the DeepMIP simulations, Paleoceanography and Paleoclimatology, 2022
<p>Paleobotanical precipitation estimates used in Williams et al.: African hydroclimate monsoon during the early Eocene from the DeepMIP simulations, Paleoceanography and Paleoclimatology, 2022.</p>
Reconstruction of hydroclimate variability, Linearbandkeramik (LBK), Main region, Germany
<p>The file contains the reconstruction of hydroclimate variability (z-score) for the Main region (southern Germany) from 5700-4800 BCE as inferred from oak tree rings.</p> <p>Columns are semicolon separated.</p> <p>First column: Year BCE</p> <p>Second column: Hydroclimate variability (z-score)</p>
Synthesis of hydroclimate changes during Heinrich Stadial 1
<p>Version 5 of the synthesis published with DiNezio et al (2025). See attached PDF file for a full description of the dataset.</p>
Data from: Stable isotope evidence for long-term stability of large-scale hydroclimate in the Neogene North American Great Plains
<p>The Great Plains of North America host a stark climatic gradient, separating the humid and well-watered eastern US from the semi-arid and arid western US, and this gradient shapes the region's water availability, its ecosystems, and its economies. This climatic boundary is largely set by the influence of two competing atmospheric circulation systems that meet over the Great Plains—the wintertime westerlies bring dominantly dry air that gives way to moist, southerly air transported by the Great Plains Low-Level Jet in the warmer months. Climate model simulations suggest that, as CO<sub>2</sub> rises, this low- level jet will strengthen, leading to greater precipitation in the spring, but less in the summer and, thus, no change in mean annual precipitation. Combined with rising temperatures that will increase potential evapotranspiration, semi-arid conditions will shift eastward, with potentially large consequences for the ecosystems and inhabitants of the Great Plains. We examine how hydroclimate in the Great Plains varied in the past in response to warmer global climate by studying the paleoclimate record within the Ogallala Formation, which underlies nearly the entire Great Plains and provides a spatially resolved record of hydroclimate during the globally warmer late Miocene. We use the stable isotopes of oxygen (δ<sup>18</sup>O) as preserved in authigenic carbonates hosted within the abundant paleosol and fluvial successions that comprise the Ogallala Formation as a record of past hydroclimate. Today, and coincident with the modern aridity gradient, there is a sharp meteoric water δ<sup>18</sup>O gradient with high (−6 to 0‰) δ<sup>18</sup>O in the southern Great Plains and low (−12 to −18‰) δ<sup>18</sup>O in the northern Plains. We find that the spatial pattern of reconstructed late Miocene precipitation δ<sup>18</sup>O is indistinguishable from the spatial pattern of modern meteoric water δ<sup>18</sup>O. We use a recently developed vapor transport model to demonstrate that this δ<sup>18</sup>O spatial pattern requires air mass mixing over the Great Plains between dry westerly and moist southerly air masses in the late Miocene—consistent with today. Our results suggest that the spatial extent of these two atmospheric circulation systems have been largely unchanged since the late Miocene and any strengthening of the Great Plains Low-Level Jet in response to warming has been isotopically masked by proportional increases in westerly moisture delivery. Our results hold implications for the sensitivity of Great Plains climate to changes in global temperature and CO<sub>2</sub> and also for our understanding of the processes that drove Ogallala Formation deposition in the late Miocene.</p>
Decoupled hydroclimate of Central and Southwestern Iran controlled by the strength of southerly-westerly jets during Marine Isotope Stage 3
<p><span>Abstract</span></p> <p><span>The regional impact of abrupt glacial climate variability remains poorly constrained for arid southwestern Asia, particularly winter dynamics during Marine Isotope Stage 3, due to limited paleoarchives in the Middle East. Here, we present novel continuous speleothem records of δ<sup>18</sup>O and δ<sup>13</sup>C for Southwestern and Central Iran, spanning the interval ~50-30 ka. Stable-isotope signals in the two stalagmites are generally uncorrelated and do not exhibit a consistent response</span><span> </span><span>to Greenland stadials or interstadials; however, both show a positive δ<sup>18</sup>O excursion that coincides with Heinrich event 4. We explore the potential mechanisms for intermittent coupling of speleothem </span><span>δ</span><sup><span>18</span></sup><span>O across Iran through isotope-enabled atmospheric modelling outputs, from which we utilize the spatial </span><span>δ</span><sup><span>18</span></sup><span>O gradient as a proxy for wintertime westerly vs. southerly jet strength. Our results suggest that during Heinrich event 4 and several Greenland stadials, stronger westerly winds enhanced Mediterranean moisture contributions to both sites and reduced aridity in southern Iran.</span></p>
Data from: Taxon-specific hydrogen isotope signals in cultures and mesocosms facilitate ecosystem and hydroclimate reconstruction
<p>Phytoplankton play a key role in biogeochemical cycles, impacting atmospheric and aquatic chemistry, food webs, and water quality. However, it remains challenging to reconstruct changes in algal community composition throughout the geologic past, as existing proxies are suitable only for a subset of taxa and/or influenced by degradation. Here, we investigate if compound-specific hydrogen isotope ratios (δ<sup>2</sup>H values) of common algal lipids can serve as (paleo)ecological indicators. First, we grew 20 species of algae – representing cyanobacteria, diatoms, dinoflagellates, green algae, and cryptomonads – in batch cultures under identical conditions and measured δ<sup>2</sup>H values of their lipids. Despite identical source water δ<sup>2</sup>H values, lipid δ<sup>2</sup>H values ranged from -455 ‰ to -52 ‰, and clustered according to taxonomic groups and chemical compound classes. In particular, green algae synthesized fatty acids with higher δ<sup>2</sup>H values than other taxa, cyanobacteria synthesized phytol with relatively low δ<sup>2</sup>H values, and diatoms synthesized sterols with higher δ<sup>2</sup>H values than other eukaryotes. Second, we assessed how changes in algal community composition can affect net δ<sup>2</sup>H values of common algal lipids in 20 experimental outdoor ponds, which were manipulated via nutrient loading, and the addition of macrophytes and mussels. High algal biomass in the ponds, which was mainly caused by cyanobacterial and green algal blooms, was associated with higher δ<sup>2</sup>H values for generic fatty acids, relatively stable δ<sup>2</sup>H values for phytol and the dinoflagellate biomarker dinostanol, and lower δ<sup>2</sup>H values for the more cosmopolitan sterol stigmasterol. These results are consistent with expectations from our culture-based analyses, suggesting that measuring δ<sup>2</sup>H values of multiple lipids from sediment and calculating <sup>2</sup>H-offsets between them can resolve changes in algal community composition from changes in source water isotopes. With an appropriate availability of sedimentary lipids, this approach could permit the reconstruction of both taxonomic variability and hydroclimate from diverse sedimentary systems.</p>
Hydroclimate of the Tibetan Plateau and Central Asia during the Late Cenozoic
<p>These repository data contain netcdf files for each of the four high-resolution (~0.75° per grid cell) general circulation model (GCM) ECHAM-5 experiments with boundary conditions for the mid-Pliocene (~3 Ma; ECHAM5_PLIO_1d_aprl_aprc_q_v_u_Asia.nc), the Last Glacial Maximum (LGM; ~21 ka; ECHAM5_LGM_1d_aprl_aprc_q_v_u_Asia.nc), the mid-Holocene (~6 ka; ECHAM5_MH_1d_aprl_aprc_q_v_u_Asia.nc), and the pre-industrial (ECHAM5_PI_1d_aprl_aprc_q_v_u_Asia.nc). Each file contains 3D fields of specific humidity and winds, as well as precipitation (large-scale and convective) for Asian region. </p>
Pseudoproxies for the paper "A pseudoproxy assessment of data assimilation for reconstructing the atmosphere–ocean dynamics of hydroclimate extremes"
<p>Pseudoproxies for the paper “A pseudoproxy assessment of data assimilation for reconstructing the atmosphere–ocean dynamics of hydroclimate extremes” by Steiger and Smerdon 2017.</p> <p>If you have further questions, address them to the author Nathan J. Steiger.</p>
Atmospheric river contributions to ice sheet hydroclimate at the Last Glacial Maximum
<p>This dataset contains the atmospheric river catalogues and the associated precipitation and temperature data for the Preindustrial and Last Glacial Maximum CESM2 simulations presented in the GRL manuscript: Atmospheric river contributions to ice sheet hydro climate at the Last Glacial Maximum. The atmospheric river catalogue files (zipped) are in netcdf format and organized by year. There are 100 years of data for both simulations. The Preindustrial simulation catalogue begins in model year 41 and ends in model year 140. The LGM simulation catalogue begins in model year 1 and ends in year 100. Each yearly file has a temporal resolution of 6 hours (1460 time steps each file) and a spatial resolution of 0.9° x 1.25° (the native resolution of the CESM simulation). A variable in the file called "ar_binary_tag" indicates whether an atmospheric river is present at each grid cell and each tilmestep: 1 indicates an atmospheric river is present; 0 indicates an atmospheric river is not present. The precipitation and temperature files are 100-year annual or 100-year seasonal averages of atmospheric river precipitation/temperature. See the Methods section of the article for more details on the atmospheric river detection algorithm and precipitation/temperature calculations.</p> <p>Associated article abstract:</p> <p>Atmospheric rivers (ARs) are an important driver of surface mass balance over today’s Greenland and Antarctic ice sheets. Using paleoclimate simulations with the Community Earth System Model, we find ARs also had a key influence on the extensive ice sheets of the Last Glacial Maximum (LGM). ARs provide up to 53% of total precipitation along the margins of the eastern Laurentide ice sheet and up to 22-27% of precipitation along the margins of the Patagonian, western Cordilleran, and western Fennoscandian ice sheets. Despite overall cold conditions at the LGM, surface temperatures during AR events are often above freezing, resulting in more rain than snow along ice sheet margins and conditions that promote surface melt. The results suggest ARs may have had an important role in ice sheet growth and melt during previous glacial periods and may have accelerated ice sheet retreat following the LGM.</p>
Supplementary Data for "Assessing weathering, pedogenesis, and silt generation in granitoid-hosted soils from contrasting hydroclimates"
<p>Supplementary data includes original sample names and locations, raw geochemical and granulometric data, and calculated geochemical data represented as figures for the manuscript titled "<strong>Assessing weathering, pedogenesis, and silt generation in granitoid-hosted soils from contrasting hydroclimates"</strong>. All datasets are in the same excel file on separate tabs. All data were processed according to established procedures cited in the manuscript text. All software used is open access: ImageJ, adobe illustrator, and Microsoft excel.</p>
US Puget Sound 6-km daily hydroclimate conditions during 1981-2020
<p>This dataset includes the WRF-simulated daily hydroclimate data over the US Puget Sound region during 1981-2020. The data includes the following single-level variables at 6-km grid spacing: precipitation (PREC_ACC_NC), 2-meter temperature (T2), snow water equivalent (SNOW), wind divergence (WindDiv), integrated water vapor (IWV), integrated vapor transport (uvIVT).</p> <p>The WRF model configuration and model validation can be found in Chen et al. (2018) and Chen et al. (2019).</p> <p>The scripts used to analyze these hydroclimate conditions as in Chen et al. (submitted) will be included in this repo after the manuscript is published.</p> <p> </p> <p>Reference:</p> <p>Chen, X., L. R. Ruby, N. Sun, Impact of ENSO and MJO on the U.S. Puget Sound Regional Hydroclimate. (submitted)</p> <p>Chen, X., Leung, L. R., Gao, Y., Liu, Y., Wigmosta, M., & Richmond, M. (2018). Predictability of extreme precipitation in western U.S. watersheds based on atmospheric river occurrence, intensity, and duration. Geophysical Research Letters, doi: 10.1029/2018GL079831</p> <p>Chen, X., Leung, L. R., Wigmosta, M., & Richmond, M. (2019). Impact of atmospheric rivers on surface hydrological processes in western U.S. watersheds. Journal of Geophysical Research: Atmospheres, doi: 10.1029/2019JD030468</p>
Supplement A. Wolf et al: 'Deciphering local and regional hydroclimate resolves contradicting evidence on the Asian monsoon evolution'
<p>This repository contains all proxy data for TD3 and codes with instructions and examples presented and use in A. Wol et al, "Deciphering local and regional hydroclimate resolves contradicting evidence on the Asian monsoon evolution". The data can be used to replicate figures and analyses presented in the main text. </p>
Data from: Stable isotope evidence for long-term stability of large-scale hydroclimate in the Neogene North American Great Plains
Open the record for dataset details and reuse information.
Data from: The hydroclimate and environmental response to middle Miocene warming in the southwestern U.S.A.: Stable isotope evidence
Open the record for dataset details and reuse information.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.