Find research datasets worth reusing

openCC (other)Jan 2020View details →

Biogeochemistry data set for soil waters, streams, and lakes near Toolik on the North Slope of Alaska.

Data file describing the biogeochemistry of samples collected at various sites near Toolik Lake, North Slope of Alaska. Sample site descriptors include a unique assigned number (sortchem), site, date, time, depth, distance (downstream), elevation, treatment, date-time, category, and water type (lake, surface, soil). Physical measures collected in the field include temperature (water, soil, well water), conductivity, pH, average thaw depth, well height, discharge, stage height, and light (lakes). Chemical analysis for the sample include alkalinity; dissolved organic carbon (DOC); inorganic and total dissolved nutrients (NH4, PO4, NO3, TDN, TDP); particulate carbon, nitrogen, and phosphorus (PC, PN, and PP); cations (Ca, Mg, Na, K); anions (SO4 and Cl); silica and oxygen.

openCC (other)Feb 2026View details →

Mangrove soil biogeochemistry and geomorphology data from Biscayne National Park, Florida, USA, 2011 - 2024

We quantified long-term changes in tidal hydrology and surface soil elevation (2011-2024) across two representative fringe mangrove forest sites (BISC-1, BISC-2) in Biscayne National Park (Florida, USA). We measured the spatiotemporal variation of monthly wrack deposition, litter breakdown rates, soil organic carbon, and stable isotope δ13C and δ15N content along landward transects in Biscayne National Park (Florida, USA) from 2022 to 2024. We surveyed marine wrack deposition biovolume monthly using a quadrat in plots along our transects. At each marine wrack survey plot, we collected soil cores seasonally to measure soil physicochemistry. Finally, we deployed leaf litter decomposition mesh bags with Rhizophora mangle leaf litter, Thalassia testudinum leaf litter, and teabag standards to quantify breakdown rates on the soil surface of each marine wrack survey plot. Data collection is complete.

openCC (other)Mar 2023View details →

2015 Drought soil biogeochemistry and greenhouse gas emissions study at El Verde

We report the effects of the severe 2015 Caribbean drought on soil moisture, oxygen (O2), temperature, phosphorus (P), iron (Fe), pH, and GHG emissions (CO2 and CH4) across a catena sensor array field outside of El Verde Research Station, Luquillo LTER, Puerto Rico. Seven sensors of each type were installed at 12 cm depth along a ridge to valley catena; the entire catena transect was replicated five times for a total of 105 sensors. Within the sensor field we also installed nine automated gas flux chambers randomly located in each topographic zone (ridge, slope and valley). Soil carbon and nitrogen, extractable phosphorus (P) pools, iron (Fe) species, and pH were sampled before and during the drought as indicators of biogeochemical conditions. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.

openCC (other)Oct 2022View details →

SBC LTER: Cross-shelf Study 2008-2009: Profiles of CTD, biogeochemistry, primary production, abundance of phytoplankton groups, and abundance and production of bacteria

These data were used by the following papers: Goodman, J., M. A. Brzezinski, E. R. Halewood and C. A. Carlson. 2012. Sources of phytoplankton to the inner continental shelf in the Santa Barbara Channel inferred from cross-shelf gradients in biological, physical and chemical parameters. Continental Shelf Research, 48: 27-39. (DOI: 10.1016/j.csr.2012.08.011) Halewood, E. R., C. A. Carlson, M. A. Brzezinski, D. C. Reed and J. Goodman. 2012. Annual cycle of organic matter partitioning and its availability to bacteria across the Santa Barbara Channel continental shelf. Aquatic Microbial Ecology, 67:189-209. (DOI:10.3354/ame01586) These data were collected on monthly day cruises from January 2008 to April 2009 on the RV Kelp Fish at five stations across the shelf starting at Mohawk Reef in the nearshore area of the Santa Barbara Channel, California, USA. Data were collected with a SBE19-Plus and rosette sampler. Measurements include standard CTD parameters in 1 m bins (e.g. salinity, temperature, density). At selected depths (1, 5, 10, 20 m), rosette bottle samples were collected for nutrients, pigments, particulate and dissolved organic carbon and nitrogen, and bacterial abundance, community structure and productivity. Phytoplankton abundances (to genus) were obtained from the 5 m sample only.

opencc-by-4.0Jan 2021View details →

Next generation global ice-ocean-biogeochemistry coupled model with 13C-cycling (GFDL MOM5-BLING13C)

=======  DESCRIPTION  ======= This is the model output supporting our paper A next generation ocean carbon isotope model for climate studies I: Steady state controls on ocean 13C (2021 Global Biogeochemical Cycles). This model output simulates the transient response of ocean carbon biogeochemistry to anthropogenic CO2 and 13CO2 atmospheric emissions with a nominal lateral resolution of 1° and 50 vertical levels. The model uses the NOAA's Geophysical Fluid Dynamics Laboratory (GFDL) MOM5 coupled to the NOAA-GFDL Biogeochemistry with Light Iron Nutrients and Gas (BLING) with 13C-cycling. Atmospheric forcing is prescribed using the repeating annual cycle of the Common Ocean Reference Experiment version 2 normal year forcing dataset (COREv2-NYF). The implementation of 13C-cycling applies isotopic fractionations during air-sea gas exchange, photosynthetic production of organic matter, and formation of calcium carbonate. The sensitivity of dissolved inorganic 13C in the ocean to the CO2 gas exchange rate is explored by repeating the simulation twice, once using the latest OMIP-CMIP6 protocol for the k-U10 parameterization (standard) and once using the previous OCMIP2 protocol (fast-gas-exchange).   Files information: <ul> <li>ocean_static.nc: Static fields (longitude, latitude, area).</li> <li>1990-2002.ocean_month.nc: Monthly output between 1990 and 2002 of ocean physical variables (temperature, salinity, averaged mixed layer depth, maximum mixed layer depth).</li> <li>1990-2002.ocean_bling_trc_month_CMIP6.nc: Monthly output between 1990 and 2002 of biogeochemical variables* for the simulation using the OMIP-CMIP6 air-sea gas exchange protocol.</li> <li>1970_1989_d13c_org_mldave_CMIP6.nc: Monthly output between 1970 and 1989 of d13C of organic matter averaged over the mixed layer.</li> <li>1990-2002.ocean_bling_trc_month_OCMIP2.nc: Monthly output between 1990 and 2002 of biogeochemical variables* for the simulation using the OCMIP2 air-sea gas exchange protocol.</li> </ul> * Biogeochemical variables are dissolved inorganic carbon, dissolved inorganic carbon-13, oxygen, and dissolved inorganic phosphate.   =======  HOW TO CITE  ======= This model output can be freely distributed, but please cite it using the following paper: Claret, M., Sonnerup, R. E., & Quay, P. D. (2021). A next generation ocean carbon isotope model for climate studies I: Steady state controls on ocean 13C. Global Biogeochemical Cycles, 35, e2020GB006757. <a href="https://doi.org/10.1029/2020GB006757">https://doi.org/10.1029/2020GB006757</a>   =======  ACKNOWLEDGEMENTS ======= This work was funded by the National Science Foundation (NSF-OCE 1356756 and NSF-OCE 1829796). We would also like to acknowledge high-performance computing support from Cheyenne (<a href="https://doi.org/10.5065/D6RX99HX">doi:10.5065/D6RX99HX</a>) provided by NCAR's Computational and Information Systems Laboratory, sponsored by the NSF.   =======  QUESTIONS AND REQUESTS?  ======= Please contact Mariona Claret (mclaret@uw.edu) or Rolf Sonnerup (rolf@uw.edu).

opencc-by-4.0Sep 2023View details →

Model Outputs for Characterizing the Atmospheric Mn Cycle and Its Impact on Terrestrial Biogeochemistry

Includes the model output files used in calculations regarding the research article "Characterizing the Atmospheric Mn Cycle and Its Impact on Terrestrial Biogeochemistry". Output files contains: 1) surface Mn concentrations, annual; 2) Mn deposition, monthly; 3) soil Mn map; 4) soil Mn "pseudo" turnover time.

opencc-by-4.0Aug 2024View details →

Data for manuscript: A framework for integrating genomics, microbial traits, and ecosystem biogeochemistry

Support manuscript: A framework for integrating genomics, microbial traits, and ecosystem biogeochemistry.  Dataset includes 1)  model and analysis, and 2)  supplemental data.  In the "model_analysis" file, we include the ecosys model source code, the modeling runs, and the modeling results. The detailed introduction is in README.md file.    Acknowledgments We thank the EMERGE Biology Integration Institute Coordinators (members listed in Supplementary Information) for project guidance and management. This research is a contribution of the EMERGE Biology Integration Institute, funded by the National Science Foundation, Biology Integration Institutes Program, Award # 2022070 (V.I.R., R.K.V., S.R.S., M.B.S., E.L.B., and the EMERGE Coordinators). Additional support for individual contributors included the following. Z.L. was additionally supported by Lawrence Livermore National Laboratory under the auspices of the U.S. Department of Energy under contract DE-AC52-07NA27344. W.J.R. was supported by the Belowground Biogeochemistry Scientific Focus Area and U.K. was supported by the Watershed Function Science Area, both funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under contract no. DE-AC02-05CH11231. G.L.M. was supported by the LLNL "Microbes Persist" Soil Microbiome Scientific Focus Area SCW1632 and an associated KBase award SCW1746. N.J.B. was supported by the US Department of Energy, Office of Science (BER), Early Career Research Program (#FP00005182). B.J.W. was supported by an Australian Research Council Future Fellowship (#FT210100521). J.T. was supported by the Laboratory Directed Research and Development Program of Lawrence Berkeley National Laboratory.  We thank the Swedish Polar Research Secretariat and SITES for the support of the work done at the Abisko Scientific Research Station. SITES is supported by the Swedish Research Council’s grant 4.3-2021-00164. This research used resources of the National Energy Research Scientific Computing Center (NERSC) which is a U.S. Department of Energy Office of Science user facility. This research used the Lawrencium computational cluster resource provided by the IT Division at the Lawrence Berkeley National Laboratory (Supported by the Director, Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231).  Full list of the EMERGE Biology Integration Institute Coordinators and Affiliations Eoin L. Brodie1,2, Sarah C. Bagby3, Jeffrey P. Chanton4, Jessica G. Ernakovich5, Regis Ferriere6,7, Suzanne B. Hodgkins8, William J. Riley1, Virginia I. Rich8,9, Scott R. Saleska6, Matthew B. Sullivan8,9,10, Ruth K. Varner11, Gene W. Tyson12, Malak M. Tfaily13, Ahmed A. Zayed8,9  1Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory; Berkeley, CA 94720, USA. 2Department of Environmental Science, Policy and Management, University of California; Berkeley, CA 94720, USA. 3Department of Biology, Case Western Reserve University; Cleveland, OH, USA, 44106 4Earth Ocean and Atmospheric Sciences, Florida State University; Tallahassee, FL, USA 5Department of Natural Resources and the Environment, University of New Hampshire; Durham, NH, USA 03824 6Department of Ecology and Evolutionary Biology, University of Arizona; Tucson, AZ, 85721, USA 7Institut de Biologie de l’ENS, Université Paris Sciences & Lettres; Paris, 75005, France 8Department of Microbiology, The Ohio State University; Columbus, OH, USA, 43210 9Center of Microbiome Science, The Ohio State University; Columbus, Ohio 43210, USA. 10Department of Civil, Environmental and Geodetic engineering, The Ohio State University; Columbus, Ohio 43210, USA. 11Department of Earth Sciences and Institute for the Study of Earth, Oceans and Space, University of New Hampshire; Durham, NH 03824, USA. 12Centre for Microbiome Research, School of Biomedical Sciences, Queensland University of Technology (QUT), Translational Research Institute; Woolloongabba, QLD, Australia 13Department of Environmental Science, University of Arizona; Tucson, AZ, 85721, USA

opencc-by-4.0Aug 2023View details →

UVic-MOBI Anthropogenic Biogeochemistry Simulations

Model results from preindustrial and anthropogenic scenarios (i.e. prescribed atmospheric CO2 (SRES A2 scenario) and atmospheric nutrient pollutant deposition (Lamarque et al., 2013; Myriokefalitakis et al., 2018) on the UVic-MOBI Earth System Climate model (Somes et al., 2021). The code is available at <a href="https://github.com/chrissomes/UVic2.9">https://github.com/chrissomes/UVic2.9</a>.

opencc-by-4.0Aug 2023View details →

Ocean biogeochemistry in the coupled ocean–sea ice–biogeochemistry model FESOM2.1–REcoM3

This is the underlying dataset of the publication "Ocean biogeochemistry in the coupled ocean–sea ice–biogeochemistry model FESOM2.1–REcoM3" by Gürses et al. (in press), Geoscientific Model Development. In addition to unstructured mesh information, it contains the results of ocean biogeochemistry in the Regulated Ecosystem Model version 3 (REcoM3) coupled to the ocean and sea ice model FESOM2.1. The model simulations cover the period 1958 to 2021 and are forced with observed atmospheric CO2 and JRA55-do atmospheric reanalyses. Three simulations are provided: simulation A: with varying climate forcing conditions and varying atmospheric CO2 simulation B: with constant climate forcing conditions and constant atmospheric CO2 simulation D: with varying climate forcing conditions and constant atmospheric CO2 The following 2D/3D monthly-averaged fields (data period is given in parentheses) are provided on the native model grid: <ul> <li>Alk: Alkalinity (2012-2021)</li> <li>CO2f: Air-Sea CO2 flux (1800-2021)</li> <li>DFe: Dissolved Iron concentration (2012-2021)</li> <li>DIN: Dissolved Inorganic Nitrogen concentration (2012-2021)</li> <li>DIC: Dissolved Inorganic Carbon concentration (1800, 1994-2021)</li> <li>DSi: Dissolved Inorganic Silicon concentration (2012-2021)</li> <li>DiaChl: Chlorophyll a concentration of diatoms  (2012-2021)</li> <li>DetC: Carbon concentration in slow-sinking detritus (2012-2021)</li> <li>DetCalc: Calcite concentration in slow-sinking detritus (2012-2021)</li> <li>DetSi: Silicon concentration in slow-sinking detritus (2012-2021)</li> <li>idetz2c: Carbon concentration in fast-sinking detritus (2012-2021)</li> <li>idetz2calc: Calcite concentration in fast-sinking detritus (2012-2021)</li> <li>idetz2si: Silicon concentration in fast-sinking detritus (2012-2021)</li> <li>HetC: Small zooplankton carbon biomass (2012-2021)</li> <li>MLD: Mixed Layer Depth (2012-2021)</li> <li>NPPn: Net Primary Production of small pyhtoplankton (2012-2021)</li> <li>NPPd: Net Primary Production of diatoms (2012-2021)</li> <li>O2: Dissolved Oxygen concentration (2012-2021)</li> <li>PhyChl: Chlorophyll a concentration of small phytoplankton (2012-2021)</li> <li>Zoo2C: Macrozooplankton carbon biomass (2012-2021)</li> <li>pCO2s: Partial pressure of carbon dioxide of the surface ocean (1970-2021)</li> <li>salt: Salinity (2012-2021)</li> <li>temp: Temperature (2012-2021)</li> <li>w: Vertical velocity (2012-2021)</li> </ul> Please contact the corresponding author (ozgur.gurses@awi.de) for further information.

opencc-by-4.0Aug 2023View details →

Selected near-bottom and other variables from NW European shelf physics-biogeochemistry downscaled ocean climate projections, 3-member ensemble.

Selected fields of physical and biogeochemical ocean variables from a 3-member ensemble of coupled physics-biogeochemistry downscaled climate runs on the North Western European Continental Shelf. All ensemble members use the NEMO-ERSEM model suite and cover the 1990-2099 period. Easch member is foced with a different set of atmospheric and oceanic boundary conditions from one of three CMIP5 ESMs that are: HADGEM2-ES, IPSL-CM5A-MR and GFDL-ESM2G. This dataset contains monthly average values saved as 2D fields either near-bottom, at the surface or depth integrated. The variables here saved are near-bottom oxygen, oxygen solubility, oxygen saturation state, temperature and bacterial respiration, surface salinity, depth integrated net primary production, and potential energy anomaly. Additionally the Western Norwegian Trench Current flux is provided (its values come smoothed with a gaussian filter). reference publication: https://doi.org/10.5194/egusphere-2023-1049. The complete set of variables is available from the authors upon request.

openCC (other)Apr 2023View details →

CTE Soil Biogeochemistry 2014

Climate change is increasing the intensity of severe tropical storms and cyclones (also referred to as hurricanes or typhoons), with major implications for tropical Forest structure and function. These changes in disturbance regime are likely to play an important role in regulating ecosystem carbon (C) and nutrient dynamics in tropical and subtropical forests. Canopy opening and debris deposition resulting from severe storms have complex and interacting effects on ecosystem biogeochemistry. Disentangling these complex effects will be critical to better understand the long-term implications of climate change on ecosystem C and nutrient dynamics. In this study, we used a well-replicated, long-term (10 years) canopy and debris manipulation experiment in a wet tropical forest to determine the separate and combined effects of canopy opening and debris deposition on soil C and nutrients throughout the soil profile (1 m). Debris deposition alone resulted in higher soil C and N concentrations, both at the surface (0–10 cm) and at depth (50–80 cm). Concentrations of NaOHorganic P also increased significantly in the debris deposition only treatment (20–90 cm depth), as did NaOH-total P (20–50 cm depth). Canopy opening, both with and without debris deposition, significantly increased NaOH-inorganic P concentrations from 70 to 90 cm depth. Soil iron concentrations were a strong predictor of both C and P patterns throughout the soil profile. Our results demonstrate that both surface- and subsoils have the potential to significantly increase C and nutrient storage a decade after the sudden deposition of disturbance-related organic debris. Our results also show that these effects may be partially offset by rapid decomposition and decreases in litterfall associated with canopy opening. The significant effects of debris deposition on soil C and nutrient concentrations at depth (>50 cm), suggest that deep soils are more dynamic than previously believed, and can serve as sinks of C

openCustomOct 2011View details →

MCR LTER: Coral Reef: Ocean Currents and Biogeochemistry: Moored Thermistor String Data - CBYTS

A vertically moored thermistor string sampled year-round on the reef at Cook's Bay in Moorea, French Polynesia. Sampling began in 2005 and ended in August 2011. All data have been interpolated onto a 20 min grid. Thermistors were spaced vertically along the mooring line 4, 8, 12, 16, and 20 meters above the bottom. Pressure measurements are also provided from two of the instruments typically located at 4 and 20 meters above the bottom.

openCC (other)Jul 2025View details →

Turf Transplant baseline soil biogeochemistry, 2024.

The Turf Transplant Experiment was set up in the summer of 2024. Paired experimental sites were established in two tundra community types - dry meadow and moist meadow - with one site of each community type pair in a lower elevation/warmer area and one site in a higher elevation/cooler area. Subplot turfs (25 cm^2) were transplanted (1) between sites of the same community type at different elevations/temperatures, (2) between plots within the same site or (3) left in place as non-transplant controls. Biogeochemical data from time 0 was taken in pre-established plots outside of the subplots. Coordinates to the biogeochemical plots can be found in this package. This data package contains gravimetric soil moisture measurements.

openCC (other)Oct 2021View details →

SBC LTER: Ocean: Currents and Biogeochemistry: Moored CTD and ADCP data from Purisima Mooring (PUR), 1999-2016

ADCP (Currents), CTD (Hydrography) and Optics data (Fluorescence, Beam Attenuation and Volume Scattering Function) were collected at La Purisima (site ID: PUR), north of Point Conception. Data have been interpolated to a 20 minute interval. ADCP data are binned at a 1.0 meter interval, measured as height from the bottom to a maximum of 16 bins. All bins may not be filled, and in some cases, data from bins technically above the surface are included. VSF data are available at angles, 100, 125 and 150 degrees. CTD parameters include Pressure, Temperature, Conductivity, Salinity, Density and Fluorescence. The CTD array is located approximately 4.5 meters from the surface, and there are additional temperature thermistors near the CTD array, at the bottom, and mid way between these two.

opencc-by-4.0May 2020View details →

French_etal_2020_KuskokwimR_Biogeochemistry

This dataset includes biogeochemical measurements from the Kuskokwim River in Alaska from July-August 2017. Data were collected by DWF and SRB with assistance from Alaska Department of Fish and Game and US Fish and Wildlife Service. We also include watershed attributes for each sample site based on publicly available geospatial data (see French et al., 2020; JGR Biogeosciences). All geospatial data were processed in the STARS Toolbox (Peterson & VerHoef, 2014; J. of Stat. Soft.) within ArcGIS.

opencc-by-4.0Dec 2023View details →

Data for: Assessing hydrology, biogeochemistry and organic micropollutants in an urban stream-aquifer system: an interdisciplinary dataset

Accompanying data for data article "Assessing hydrology, biogeochemistry and organic micropollutants in an urban stream-aquifer system: a comprehensive dataset" of Popp et al., JGR:Biogeosciences. In this repository, all data described in Table 1 of the manuscript can be found, except for the data already published by Popp et al., 2020, ES&T, doi: 10.1021/acs.est.9b05393. These data can be freely accessed in ERIC (Eawag Research Data Institutional Collection): doi.org/10.25678/0001JD.  Data are structured the following way: 1_logger-data: time series of logger data (water temperature, water levels, electrical conductivity and pH [the latter only for the stream]) obtained at the stream Chriesbach and piezometers P1 and P4; 2_tracer-data: time series of nutrients, ions, and other tracer data obtained at the stream Chriesbach, the piezometers (P1, P4, P5) and the regional groundwater well (reg-gw);   3_micropollutant_data: time series of organic micropolluntants obtained at the stream Chriesbach, P1, P4, P5 and the regional groundwater well (reg-gw); 4_R-script: R script used for statistical analysis and to create the plots shown in the manuscript. Units, estimated uncertainties or other measures of uncertainty such as limits of quantification are provided in the respective files. Each subfolder contains its own readme file with relevant metadata.  Coordinates (WGS84):         Location    Latitude    Longitude Stream logger monitoring    47.404613    8.6113 Stream sampling    47.404459    8.607777 Piezometer 1 (P1)    47.4044    8.6080 Piezometer 4 (P4)    47.4044    8.6078 Piezometer 5 (P5)    47.404392    8.607619 Regional groundwater    47.40501    8.60822

opencc-by-4.0Jul 2024View details →

DALROMS-NWA12 v1.0, a coupled circulation-sea ice-biogeochemistry model for the northwest North Atlantic: input files (2 of 3)

DALROMS-NWA12 v1.0 is a coupled circulation-sea ice-biogeochemistry modelling system based on ROMS, CICE, and MCT. The model domain covers the North Atlantic Ocean from ~81 deg W to ~39 deg W and ~33.5 deg N to 76 deg N. This record includes the files necessary for nudging the simulated temperature and salinity towards Copernicus GLORYS12V1 reanalysis values in a simulation from 1 September to 31 December 2013. The remaining input files for this period are available at <a href="https://doi.org/10.5281/zenodo.12752190" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12752190</a> and <a href="https://doi.org/10.5281/zenodo.12735153" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12735153</a>. Model codes, scripts for compiling the model, and sample CPP header files and runtime parameter files (namelists) for phyiscs-only simulations are available at <a href="https://doi.org/10.5281/zenodo.12752091" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12752091</a>. CPP header and runtime parameter files for the biogeochemistry module are available upon request. Sample output files (from the physics and biogeochemistry modules) are available at <a href="https://doi.org/10.5281/zenodo.12744506" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12744506</a> and <a href="https://doi.org/10.5281/zenodo.12746262" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12746262</a>.

opencc-by-4.0Jul 2024View details →

DALROMS-NWA12 v1.0, a coupled circulation-sea ice-biogeochemistry model for the northwest North Atlantic: input files (1 of 3)

DALROMS-NWA12 v1.0 is a coupled circulation-sea ice-biogeochemistry modelling system based on ROMS, CICE, and MCT. The model domain covers the North Atlantic Ocean from ~81 deg W to ~39 deg W and ~33.5 deg N to 76 deg N. This record includes most of the input files necessary for a physics-only simulation from 1 September to 31 December 2013. The remaining input files for this period, which should be placed in the directory <code>sponge/</code> within the directory tree contained in this record, are available at <a href="https://doi.org/10.5281/zenodo.12734049" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12734049</a> and <a href="https://doi.org/10.5281/zenodo.12735153" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12735153</a>. Input files for the biogeochemistry module are available upon request. Model codes, scripts for compiling the model, and sample CPP header files and runtime parameter files (namelists) for physics-only simulations are available at <a href="https://doi.org/10.5281/zenodo.12752091" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12752091</a>. CPP header and runtime parameter files for the biogeochemistry module are available upon request. Sample output files (from the physics and biogeochemistry modules) are available at <a href="https://doi.org/10.5281/zenodo.12744506" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12744506</a> and <a href="https://doi.org/10.5281/zenodo.12746262" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12746262</a>.

opencc-by-4.0Jul 2024View details →

DALROMS-NWA12 v1.0, a coupled circulation-sea ice-biogeochemistry model for the northwest North Atlantic: output files (2 of 2)

DALROMS-NWA12 v1.0 is a coupled circulation-sea ice-biogeochemistry modelling system based on ROMS, CICE, and MCT. The model domain covers the North Atlantic Ocean from ~81 deg W to ~39 deg W and ~33.5 deg N to 76 deg N. This record includes daily-mean output of all (ocean circulation, sea ice, and biogeochemistry) modules for September 2015. Similar files for September 2013 are available at <a href="https://doi.org/10.5281/zenodo.12744506" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12744506</a>. Model codes, scripts for compiling the model, and sample CPP header files and runtime parameter files (namelists) for physics-only simulations are available at <a href="https://doi.org/10.5281/zenodo.12752091" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12752091</a>. CPP header and runtime parameter files for the biogeochemistry module are available upon request. Sample input files for physics-only simulations are available at <a href="https://doi.org/10.5281/zenodo.12752190" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12752190</a>, <a href="https://doi.org/10.5281/zenodo.12734049" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12734049</a>, and <a href="https://doi.org/10.5281/zenodo.12735153" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12735153</a>. Input files for the biogeochemistry module are available upon request.