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37 results for “Precipitation isotopes”
Water stable isotopes for streams and precipitation samples in the HJ Andrews Experimental Forest, 2014-2023
Water samples have been collected for analysis of water stable isotopes (O18/16 and H2/H1) at different locations in the HJ Andrews Experimental Forest and over different periods since 2014 in the HJ Andrews Experimental Forest. The database includes: 1) grab samples collected over the stream network of the Andrews Forest on multiple sampling campaigns during various flow conditions. In each of the campaigns, the samples were collected at approximately 50–100-meter intervals in 1st–5th order streams across the network; 2) water samples collected in the Andrews Forest every 1–3 weeks between 2014 and 2018 in streams (Lookout Creek, Mack Creek, McRae Creek, WS01, WS02, WS07, and WS08) and bulk precipitation from benchmark meteorological stations (PRIMET, MACK, and H15MET) between 2014 and 2023; 3) stream and precipitation samples collected in the Andrews Forest at high temporal resolution during discrete storm events at Mack Creek in 2015; and 4) weekly grab samples from Lookout Creek and selected tributaries.
Antarctic time series of temperature, precipitation, and stable isotopes in precipitation from the ECHAM5/MPI-OM-wiso past1000 climate model simulation
<p>This data set contains time series of two-metre air temperature (tas), surface temperature (ts), total precipitation (pr), oxygen-18 isotopic composition in precipitation (oxy), and deuterium isotopic composition in precipitation (dtr) from the past-millennium (800-1999 CE) simulation of the fully coupled ECHAM5/MPI-OM-wiso atmosphere-ocean general circulation model equipped with stable isotope diagnostics (Sjolte et al., 2018, Werner et al., 2016) used in the publication of Münch et al. (2021).</p> <p>The data here are provided for the Antarctic region, i.e., all model grid cells south of 60° S. The model's atmospheric component was run with a T31 spectral resolution (3.75° x 3.75°) and with 19 vertical levels, resulting in a total of N = 768 model grid cells covered by this data set. Note, however, that all time series off the continent of Antarctica have been set to NA values, so that the effectively available number of model grid cells is N<sub>eff</sub> = 442.</p> <p>Time series are provided at the original monthly resolution of the model output and on annual resolution obtained from the monthly resolution data. At annual resolution, the temperature and isotopic composition data are available as normal time averages and as precipitation-weighted time averages. In addition to the time series, the spatial field of time-invariant means is supplied, also as normal and precipitation-weighted time averages.</p> <p>Data are available as netcdf files and as R data files. In addition, processing code (bash and R scripts) are provided to reproduce the processing from monthly to annnual and time-invariant resolution and to read the data into the R data format. To process the R data, you will need the CRAN packages "ncdf4" and "lubridate", and the package "pfields" available on GitHub (see References).</p>
Processed model output of the climate simulation in the study: The effects of diachronous surface uplift of the European Alps on regional climate and the isotopic composition of precipitation (δ18Op) [Boateng et al.]
<p><strong>The geodynamic evolution of the Alps suggests that the Alps did not rise monotonically due to the different post-collisional processes such as slab break-off. However, understanding such subsurface dynamics would require adequate knowledge about its surface uplift history. Stable isotope paleoaltimetry methods are widely used to infer past surface elevation using geologic archives. However, its accurate interpretation relies on attributing the extracted isotopic signal from proxies to surface uplift despite other influences such as climate. To resolve this issue, topographic sensitivity experiments across the Alps are used to investigate the impacts of the diachronous surface uplift on regional climate and δ18Op. The Atmospheric General Circulation Model ECHAM5 with water isotope tracking capabilities (ECHAM5-wiso) is used to simulate the climate with varied topographic scenarios. We present the processed (long-term means) model output of the relevant climate variables (i.e δ18Op, near-surface temperature, precipitation amount, near-surface meridional and zonal winds, mean sea level pressure, and elevation) in response to the changes in topography. The file names are representative of the topographic scenarios used for the simulations. For example, the file “W2E1.nc” is the model output produced by a topographic scenario in which the topography across the west-central Alps was set to 200% of its modern height, and the Eastern Alps were kept at 100%. The “CTL.nc” file contains model output from the control simulation that uses present-day topography. The datasets for instance can be used to select far-field sampling points for the δ-δ paleoaltimetry method that are not significantly affected by the topographic changes.</strong></p>
ECHAM6-wiso nudged simulation water isotopes and precipitation for the period 1990-2020 at the EastGRIP drilling location, Greenland
<p>This model dataset contains output produced with the isotope-enabled atmosphere GCM ECHAM6-wiso at T127L95 spatial resolution, nudged to the ERA-5 reanalysis product. The 6-hourly model output is provided for the period 01/1990-12/2020 for the grid cell containing EastGRIP drilling location in Greenland, centered at 75.27N, -36.57 E.</p> <p>The complete description of the simulation can be found in:</p> <p><em>Cauquoin, A. and Werner, M., 2021. High‐Resolution Nudged Isotope Modeling With ECHAM6‐Wiso: Impacts of Updated Model Physics and ERA5 Reanalysis Data. Journal of Advances in Modeling Earth Systems, </em><a href="https://doi.org/10.1029/2021MS002532">https://doi.org/10.1029/2021MS002532</a></p> <p>The provided files (netCDF) contain the ECHAM6-wiso model data used as input for the SNOWISO snow pack model in:</p> <p><em>Dietrich, L.J., Steen-Larsen, H.C., Wahl, S., Jones, T.R., Town, M.S. and Werner, M., 2023. Snow-atmosphere humidity exchange at the ice sheet surface alters annual mean climate signals in ice core records. Geophysical Research Letters, </em><a href="https://doi.org/10.1029/2023GL104249">https://doi.org/10.1029/2023GL104249</a><em>.</em></p> <p>The provided variables are:</p> <p> d18O_vapor: delta value for <sup>18</sup>O (‰) in the vapor of the lowest atmospheric layer (ECHAM level 95).<br> dD_vapor: delta value for H<sub>2</sub> (D) (‰) in the vapor of the lowest atmospheric layer (ECHAM level 95).<br> aprt: total precipitation (mm water equivalent per month)<br> d18O_precip: delta value for <sup>18</sup>O (‰) in the precipitation<br> dD_precip: delta value for H<sub>2</sub> (D) (‰) in the precipitation</p> <p><strong>Data usage notice:</strong></p> <p>If you use<strong> any of these data</strong> you should refer to:</p> <p><em>Cauquoin, A. and Werner, M., 2021. High‐Resolution Nudged Isotope Modeling With ECHAM6‐Wiso: Impacts of Updated Model Physics and ERA5 Reanalysis Data. Journal of Advances in Modeling Earth Systems, </em><a href="https://doi.org/10.1029/2021MS002532">https://doi.org/10.1029/2021MS002532</a></p>
WSI01 Long-term water (stream, groundwater, precipitation) stable isotope records at Konza Prairie
Long-term oxygen and hydrogen stable isotope (δ18O and δ2H) records for precipitation, stream water, and groundwater at Konza Prairie Biological Station.
Datasets for the article "Moisture source controls on water isotopes in Antarctic precipitation - insights from water tracers in ECHAM6-wiso"
<p>This is the dataset used for the manuscript Qinggang Gao, Louise C Sime, Alison J Mclaren, et al. Moisture source controls on water isotopes in Antarctic precipitation -insights from innovative water tracers in ECHAM6-wiso. <em>ESS Open Archive .</em> December 10, 2024. DOI: 10.22541/essoar.173386109.93218804/v1.</p> <p>The corresponding code used for the manuscript can be found at https://github.com/l975421700/a_basic_analysis.</p>
Triple oxygen isotope variability of precipitation in a tropical mountainous region
<p>Triple oxygen isotope data associated with monthly integrated precipitation and discrete (subsurface-sourced) tap water samples collected over one year from sites across Panama.</p>
Supplementary data S2 to: Global sinusoidal seasonality in precipitation isotopes
<p>Supplementary Materials to:</p> <p>Allen, S. T., Jasechko, S., Berghuijs, W. R., Welker, J. M., Goldsmith, G. R., and Kirchner, J. W.: Global sinusoidal seasonality in precipitation isotopes, Hydrol. Earth Syst. Sci. 2019. https://doi.org/10.5194/hess-2019-61.</p> <p>Please cite the above manuscript when using these resources. These files are all global maps at 5-minute resolution, spanning all longitudes and latitudes from 60 degrees south to 90 degrees north. See the methods section of the manuscript for more details. </p> <p> </p> <p>Precipitation δ<sup>18</sup>O amplitude (‰)</p> <p>Precipitation δ<sup>18</sup>O phase (day of peak value, in days from the summer solstice)</p> <p>Precipitation δ<sup>18</sup>O offset (‰)</p> <p>Precipitation δ<sup>2</sup>H amplitude (‰)</p> <p>Precipitation δ<sup>2</sup>H phase (day of peak value, in days from the summer solstice)</p> <p>Precipitation δ<sup>2</sup>H offset (‰)</p> <p>Precipitation amount amplitude (mm month<sup>-1</sup>)</p> <p>Precipitation amount phase (day of peak value, in days from the summer solstice)</p> <p>Precipitation amount offset (mm month<sup>-1</sup>)</p>
Spatiotemporal variability of stable isotopes in precipitation and stream water in a high elevation tropical catchment in the Central Andes of Colombia
<p>Stable isotopes data set for the manuscript "Spatio-temporal variability of stable isotopes in precipitation and stream water of a high elevation tropical catchment in the Central Andes of Colombia".</p> <p>Data also used by Andrés Tangarife-Escobar for the thesis "Analysis of the spatial and temporal distribution of stable isotopes and their driving factors in the Upper Claro River Basin, Colombian Andes" to obtain the title of MSc in "Tropical Hydrogeology and Environmental Engineering" at the Technische Universität Darmstadt (Germany) in 2019. </p> <p>Samples collected by Jorge Ceballos from IDEAM (Colombia) and analyzed by the Servicio Geologico Colombiano. </p> <p> </p> <p> </p> <p> </p> <p> </p>
Sulfate isotopes in precipitation and streamwater, Hubbard Brook Experimental Forest, 1966 - 1994
Sulfur deposition in the northeastern U.S. has been decreasing since the 1970s and there has been a concomitant decrease in the SO4 lost from drainage waters from forest catchments of this region. It has been established previously that the SO4 lost from drainage waters exceeds SO4 inputs in bulk precipitation, but the cause for this imbalance has not been resolved. The use of stable S isotopes and the availability of archived bulk precipitation and stream water samples at the Hubbard Brook Experimental Forest (HBEF) in New Hampshire provided a unique opportunity to evaluate potential sources and sinks of S by analyzing the long-term patterns (1966–1994) of the d34S values of SO4. In bulk precipitation adjacent to the Ecosystem Laboratory and near Watershed 6 the d34S values were greater (mean: 4.5 and 4.2l, respectively) and showed more variation (variance: 0.49 and 0.30) than stream samples from Watersheds 5 (W5) and 6 (W6) (mean: 3.2 and 3.7; variance: 0.09 and 0.08, respectively). These results are consistent with other studies in forest catchments that have combined results for mass balances with stable S isotopes. These results indicate that for those sites, including the HBEF, where atmospheric inputs are 10 kg S ha-1 yr-1, most of the deposited SO4 cycles through the biomass before it is released to stream water. Results from W5, which had a whole-tree harvest in 1983–1984 showed that adsorption/desorption processes play an important role in regulating net SO4 retention for this watershed-ecosystem. Although the isotopic results suggest the importance of S mineralization, conclusive evidence that there is net mineralization has not yet been shown. However, S mass balances and the isotopic result are consistent with the mineralization of organic S being a major contributor to the SO4 in stream waters at the HBEF. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental F
2017-2018 Oahu Precipitation Isotopes and Ions
<p>Precipitation collected around Oahu, Hawaii from 2017-2018 across 20 stations. Data includes station locations, precision of measurements, ion concentrations, and stable isotopes.</p>
The Relations between Summer Droughts/Floods and Oxygen Isotope Composition of Precipitation in Dongting Lake Basin
<p>This is the precipitation amount and stable isotope composition of precipitation data on monthly timescale from Jan 1979 to Dec 2017 over the Dongting Lake Basin, Central-shouthern China. This is simulated data from isoGSM2.</p> <p> </p>
Supplementary Dataset for "Most Earth-surface calcites precipitate out of isotopic equilibrium", by M. Daëron, R.N. Drysdale, M. Peral, D. Huyghe, D. Blamart, T.B. Coplen, F. Lartaud, and G. Zanchetta
<p>This repository contains the raw data files and Python code used to generate all figures and equations included in the article "Most Earth-surface calcites precipitate out of isotopic equilibrium", by Daëron et al. (https://doi.org/10.1038/s41467-019-08336-5).</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>
Stable isotopes in precipitation (δ18O and δD) from Yadong and Pali, central Himalayas
<p><strong>Metadata</strong></p> <p>The isotopic compositions of daily precipitation were measured at two stations, Yadong and Pali, in the central Himalayas. The precision for δ<sup>18</sup>O and δD is ±0.1‰ and ±0.4‰, respectively. The meteorological data, including the collection of precipitation amounts and surface air temperature, was obtained by the Institute of Tibetan Plateau Research, Chinese Academy of Sciences, China.</p> <p><strong>Stations</strong></p> <table> <tbody> <tr> <td><strong>Station</strong></td> <td><strong>Latitude</strong></td> <td><strong>Longitude</strong></td> <td><strong>Altitude (m.a.s.l.)</strong></td> <td><strong>Sampling period</strong></td> <td><strong>Samples (n)</strong></td> </tr> <tr> <td>Yadong</td> <td>27° 29’ 40” N</td> <td>88° 55’ 01” E</td> <td>2945</td> <td>2014-03-13 - 2015-07-18</td> <td>125</td> </tr> <tr> <td>Pali</td> <td>27° 43’ 16” N</td> <td>89° 09’ 08” E</td> <td>4300</td> <td>2014-03-18 - 2015-07-23</td> <td>130</td> </tr> </tbody> </table> <p><strong>Variable definitions</strong></p> <table> <tbody> <tr> <td><strong>Description</strong></td> <td><strong>Unit</strong></td> <td><strong>Equipment</strong></td> <td><strong>Additional description</strong></td> </tr> <tr> <td>Date time</td> <td>−</td> <td>−</td> <td>−</td> </tr> <tr> <td>Air temperature</td> <td>Celsius (°C)</td> <td>−</td> <td>−</td> </tr> <tr> <td>Precipitation</td> <td>mm</td> <td>−</td> <td>−</td> </tr> <tr> <td>Water vapour isotopic ratio (δ<sup>18</sup>O)</td> <td>per mil</td> <td>Picarro-2130i Liquid Water Isotope Analyzer</td> <td>Normalized to V-SMOW</td> </tr> <tr> <td>Water vapour isotopic ratio (δD)</td> <td>per mil</td> <td>Picarro-2130i Liquid Water Isotope Analyzer</td> <td>Normalized to V-SMOW</td> </tr> <tr> <td>Deuterium excess (d-excess)</td> <td>per mil</td> <td> </td> <td>d-excess=δD-8*δ<sup>18</sup>O</td> </tr> </tbody> </table> <p><strong>Reference paper</strong></p> <p>Axelsson, J., Gao, J., Eckhardt, S., Cassiani, M., Chen, D. & Zhang, Q. (2023). A precipitation isotopic response in 2014-2015 to moisture transport changes in the central Himalayas. <em>Journal of Geophysical Research: Atmospheres</em></p>
Methods for precipitating plasma proteins for stable isotope analysis of elasmobranch blood
Open the record for dataset details and reuse information.
Data from: Enriched East Asian oxygen isotope of precipitation indicates reduced summer seasonality in regional climate and westerlies
Open the record for dataset details and reuse information.
Data from: Carbon isotopes of C3 herbs correlate with temperature on removing the influence of precipitation across a temperature transect in the agro-pastoral ecotone of Northern China
Plant δ13C–temperature (δ-T) relation has been established in many systems and is often used as paleotemperature transfer function. However, it is still unclear about the exact contributions of temperature variation to plant 13C discrimination because of covariation between temperature and precipitation (aridity), which reduces confidence in reconstruction of paleoclimate. In this study, we measured carbon isotope composition (δ13C) of 173 samples of C3 perennial herbs from 22 sites across a temperature gradient along the 400 mm isohyet in the farming-pastoral zone of North China. The results showed that precipitation obviously affected the correlations of temperatures and foliar δ13C. After removing the influence of precipitation by analysis of covariance (ANCOVA), a more strongly positive relationship was obtained between site-mean foliar δ13C and annual mean temperature (AMT), with a regression coefficient of 0.1636‰/°C (p = .0024). For widespread species, Artemisia lavandulaefolia and Artemisia capillaries, the slopes (or coefficients) of foliar δ13C and AMT were significantly steeper (larger) than those of foliar δ13C and AMT where the precipitation influence was not excluded, whereas the δ-T coefficients of Polygonum persicaria and Leymus chinensis showed little change across the transect after deducting the precipitation effect. Moreover, the positive relationship between temperature and δ13C over the transect could be explained by soil moisture availability related to temperature. Our results may afford new opportunities for investigating the nature of past climate variability.
Is the isotopic composition of precipitation a robust indicator for reconstructions of past tropical cyclones frequency? A case study on Réunion Island from rain and water vapor isotopic observations
<p>Isotopic composition of precipitation and water vapor and LMDZ-iso and ECHAM6-wiso simulations associated with the manuscript:</p> <p>Françoise Vimeux, Camille Risi, Christelle Barthe, Sören François, Alexandre Cauquoin, Olivier Jossoud, Jean-Marc Metzger, Olivier Cattani, Bénédicte Minster, and Martin Werner (2024). Is the isotopic composition of precipitation a robust indicator for reconstructions of past tropical cyclones frequency? A case study on Réunion Island from rain and water vapor isotopic observations. Journal of Geophysical Research: Atmospheres, 129, e2023JD039794. https://doi.org/10.1029/2023JD039794</p>
Supporting Dataset for "Synoptic Moisture Intrusion Provided Heavy Isotope Precipitations in Inland Antarctica during the Last Glacial Maximum"
<p><strong>Data used in <a href="https://doi.org/10.1029/2024GL108191" target="_blank" rel="noopener">Kino et al. (2024, GRL)</a> are stored as zip and CSV files.</strong></p> <ul> <li>All data (except for Antarctica_LGM_Proxies.csv) resulted from an isotope-enabled atmospheric general circulation model named "iso-MIROC5" <a href="https://doi.org/10.1029/2018JD029463" target="_blank" rel="noopener">(Okazaki and Yoshimura, 2019, JGR)</a>.</li> <li>Antarctica_LGM_Proxies.csv resulted from Table 1 of <a href="https://www.nature.com/articles/s41467-018-05430-y" target="_blank" rel="noopener">Werner et al. (2018, Nat. Com.)</a> and <a href="https://www.usap-dc.org/view/dataset/601239" target="_blank" rel="noopener">Steig et al. (2020, USAP-DC)</a>.</li> <li>The definition of southward moisture fluxes proposed by <a href="https://journals.ametsoc.org/view/journals/clim/25/21/jcli-d-11-00665.1.xml" target="_blank" rel="noopener">Newman et al. (2012, JC)</a> was adopted.<br>The module of <a href="https://gmd.copernicus.org/articles/13/1179/2020/" target="_blank" rel="noopener">ESMValTool (Righi et al., 2020, GMD)</a> was customized to calculate the Eady growth rate.</li> <li>Scripts are available in a <a href="https://github.com/kanonundgigue/kino2024grl" target="_blank" rel="noopener">GitHub repository</a>.</li> </ul> <p>Sources are available at <a href="https://github.com/kanonundgigue/kino2024grl">https://github.com/kanonundgigue/kino2024grl</a>.</p> <p>If you use data for your work, please ask the author to be a co-author or cite the paper according to data contributions.</p>
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