noaa-model-23471 eng; USA utf8 dataset Bauer, Bruce DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce +1 303-497-6280 +1 303-497-6513 325 Broadway, E/CC23 Boulder CO 80305-3328 USA paleo@noaa.gov pointOfContact 2018-12-11 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) NOAA/WDS Paleoclimatology - Simulations of ocean physical and biogeochemical fields under different biological functioning in CSIRO Mk3L 1.2 v1.0 2018-02-27 publication noaa-model-23471 NCEI DSI 1200_01 Buchanan, P.J. originator Buchanan, P.J. author Matear, R.J. originator Matear, R.J. author Chase, Z. originator Chase, Z. author Phipps, S.J. originator Phipps, S.J. author Bindoff, N.L. originator Bindoff, N.L. author NOAA National Centers for Environmental Information publisher tableDigital This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Paleoclimatology Modeling. The data include parameters of paleoclimatic modeling with a geographic location of Global. The time period coverage is from Unavailable begin date to Unavailable end date in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data. Computer simulations of past climate. Variables provided as model output are described by parameter keyword. In some cases the parameter keywords are a subset of all archived model output, and additional output is available upon request. Additional summary information can be found in the abstracts of papers listed in the dataset citations. completed Bauer, Bruce DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce +1 303-497-6280 +1 303-497-6513 325 Broadway, E/CC23 Boulder CO 80305-3328 USA paleo@noaa.gov pointOfContact https://www.ncdc.noaa.gov/c/images/pc-default-model.png Paleoclimatology - Modeling PNG Earth Science > Climate Indicators > Paleoclimate Indicators > Paleoclimate Reconstructions theme Global Change Master Directory (GCMD) Science Keywords 2018 revision Version 8.6 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords HTTPS Web Browser Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > paleoclimatic modeling earth science > paleoclimate > model > ocean model theme Global Change Master Directory (GCMD) Science Keywords 2018 revision Version 8.6 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords HTTPS Web Browser Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher Geographic Region > Global> Global > LATITUDE > LONGITUDE place otherRestrictions Cite as: Buchanan, P.J.; Matear, R.J.; Chase, Z.; Phipps, S.J.; Bindoff, N.L. (2018-02-27): NOAA/WDS Paleoclimatology - Simulations of ocean physical and biogeochemical fields under different biological functioning in CSIRO Mk3L 1.2 v1.0. [indicate subset used]. NOAA National Centers for Environmental Information. https://www.ncdc.noaa.gov/paleo/study/23471. Accessed [date]. otherRestrictions Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives. otherRestrictions Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose. otherRestrictions None otherRestrictions Please cite original publication, online resource, dataset and publication DOIs (where available), and date accessed when using downloaded data. If there is no publication information, please cite investigator, title, online resource, and date accessed. The appearance of external links associated with a dataset does not constitute endorsement by the Department of Commerce/National Oceanic and Atmospheric Administration of external Web sites or the information, products or services contained therein. For other than authorized activities, the Department of Commerce/NOAA does not exercise any editorial control over the information you may find at these locations. These links are provided consistent with the stated purpose of this Department of Commerce/NOAA Web site. Dynamic biological functioning important for simulating and stabilising ocean biogeochemistry 2018 publication Buchanan P.J., R.J. Matear, Z. Chase, S.J. Phipps, and N.L. Bindoff author Global Biogeochemical Cycles publisher https://doi.org/10.1002/2017GB005753 HTTPS Web Browser Associated Reference published 2018 Buchanan P.J., R.J. Matear, Z. Chase, S.J. Phipps, and N.L. Bindoff, 2018: Dynamic biological functioning important for simulating and stabilising ocean biogeochemistry. Global Biogeochemical Cycles, , , 10.1002/2017GB005753 information crossReference sciencePaper eng; USA geoscientificInformation Paleo date information not available. -180 180 -90 90 1950 STUDY NOTES: Simulations of ocean physical and biogeochemical fields under different biological functioning in CSIRO Mk3L-1.2 v1.0 The data included in this repository includes both the physical and biogeochemical fields that were generated by 36 simulations over 10,000 years with an Ocean General Circulation Model (GCM): CSIRO Mk3L v1.2. The 36 simulations represent a factorial experimental set-up, where 6 different parameterisations of ocean biology were broadcast across six different physical states. The aim of these experiments was to test if new insights into how the cycling of organic matter in the ocean functions can offer some benefit to climate models. But to be sure that a particular process is important to global ocean biogeochemistry (i.e carbon storage), we needed to make these tests across a range of different circulations and physical states. All physical states were of Pre-Industrial (PI; 1850 CE) climate. They were generated by forcing the Ocean GCM with the boundary conditions produced by piControl runs of CSIRO Mk3L v1.2, GFDL-ESM2G, IPSL-CM5A-MR, HadGEM2-CC, MPI-ESM-MR and MRI-CGCM3. These boundary conditions were sea surface temperature, salinity and the meridional and zonal components of surface wind stresses, and the final 10 years of these runs were averaged and regridded onto the CSIRO Mk3L v1.2 grid space. Therefore, six unique physical ocean states were generated. Six unique biological states were also generated by implementing different biological parameterisations within the biogeochemical model code. These included variable nutrient dependence for phytoplankton growth (Smith et al., 2009), variable remineralisation profiles with depth that were dependent on temperature (Marsay et al., 2015) or community composition (Weber et al., 2016), and a variable stoichiometry of organic matter based on nutrient concentrations (Galbratih and Martiny, 2015). These four different and already published parameterisations were implemented into the biogeochemical code individually, and once in combination (excluding the temperature-dependent remineralisation), to create five new biogeochemical models. Hence, six unique biological states were created, including the basic, unaltered biogeochemical model. Climatologies of sea surface temperature, sea surface salinity, and x and y vectors of sea surface wind stresses were produced by both the PI and LGM coupled experiments and were used to force the ocean general circulation model. Additional climatologies of sea ice fractional cover, sea surface wind speeds, net incident short-wave radiation, and the aeolian deposition of iron and reactive nitrogen were important for forcing the biogeochemical model. These climatologies are made available here. Also available are the three-dimensional global annual averages of oceanic properties for all 36 simulations at their steady-state solutions. These include temperature, salinity, oxygen, apparent oxygen utilisation, dissolved inorganic carbon, alkalinity, phosphate, nitrate and iron concentrations. A full description of the CSIRO Mk3L v1.2 can be found in both: Phipps, S. J., Rotstayn, L. D., Gordon, H. B., Roberts, J. L., Hirst, A. C., and Budd, W. F. The CSIRO Mk3L climate system model version 1.0 - Part 1: Description and evaluation, Geosci. Model Dev., 4, 483-509, doi:10.5194/gmd-4-483-2011, 2011. Phipps, S. J., Rotstayn, L. D., Gordon, H. B., Roberts, J. L., Hirst, A. C., and Budd, W. F. The CSIRO Mk3L climate system model version 1.0 - Part 2: Response to external forcings, Geosci. Model Dev., 5, 649-682, doi:10.5194/gmd-5-649-2012, 2012. Descriptions of the biogeochemical ocean model that was used can be found in the appendices of: Matear, R. J. and Lenton, A. Quantifying the impact of ocean acidification on our future climate, Biogeosciences, 11, 3965-3983, doi:10.5194/bg-11-3965-2014, 2014 Buchanan, P. J., Matear, R. J., Chase, Z., Phipps, S. J., and Bindoff, N. J. (2017) The importance of biological heterogeneity for simulating and stabilising ocean biogeochemistry. Global Biogeochemical Cycles. ARCCSS CMS wiki: http://climate-cms.unsw.wikispaces.net/ARCCSS+published+datasets File organisation: /g/data1/ua8/ARCCSS_Data/Mk3L-BioPump/v1-0 contains the CF - ACDD compliant netcdf output filenames: <GCM>-<biological-state>.nc where GCM - conditions generated by ithe specified climate system model used to force the CSIRO Mk3L ocean general circulation model Biological-state are: Base - Biological state Base, where all biological functioning was static OUK - Biological state OUK, where Optimal Uptake Kinetics replaced Michaelis Menten kinetics for controlling nutrient limitation RemT - Biological state RemT, temperature-dependent remineralisation scheme RemP - Biological state RemP, phytoplankton-dependent remineralisation scheme Vele - Biological state Vele, variable elemental ratios of organic matter (stoichiometry) COM - Biological state COM, where full dynamic biological functioning was enabled in the biogeochemical model (OUK + RemP + Vele) OGCM - physical variables outputted by the ocean general circulation model Contact: pearse.buchanan@utas.edu.au for any question on the dataset content and provenance paola.petrelli@utas.edu.au for questions or issues with file accessibility Citation: Buchanan, Pearse, 2017: Idealised simulations assessing the response of ocean oxygen to physical and biological factors v1.0. NCI National Research Data Collection , doi:10.4225/41/ Buchanan, P.J., Matear, R.J., Chase, Z., Phipps, S.J., and Bindoff, N.L. (2018) Dynamic biological functioning important for simulating and stabilising ocean biogeochemistry. Global Biogeochemical Cycles. Provided Keywords: ocean biogeochemistry, paleoclimatology, Pleistocene, CO2, biological pump ABSTRACT SUPPLIED BY ORIGINATOR: The biogeochemistry of the ocean exerts a strong influence on the climate by modulating atmospheric greenhouse gases. In turn, ocean biogeochemistry depends on numerous physical and biological processes that change over space and time. Accurately simulating these processes is fundamental for accurately simulating the ocean's role within the climate. However, our simulation of these processes is often simplistic, despite a growing understanding of underlying biological dynamics. Here we explore how new parameterisations of biological processes affect simulated biogeochemical properties in a global ocean model. We combine 6 different physical realisations with 6 different biogeochemical parameterisations (36 unique ocean states). The biogeochemical parameterisations, all previously published, aim to more accurately represent the response of ocean biology to changing physical conditions. We make three major findings. First, oxygen, carbon, alkalinity and phosphate fields are more sensitive to changes in the ocean's physical state. Only nitrate is more sensitive to changes in biological processes, and we suggest that assessment protocols for ocean biogeochemical models formally include the marine nitrogen cycle to constrain biological processes. Second, we show that dynamic variations in the production, remineralisation and stoichiometry of organic matter in response to changing environmental conditions benefits the simulation of ocean biogeochemistry. Third, dynamic biological functioning reduces the sensitivity of biogeochemical properties to physical change. Carbon and nitrogen inventories were 50 % and 20 % less sensitive to physical changes, respectively, in simulations that incorporated dynamic biological functioning. These results highlight the importance of a dynamic biology for ocean properties and climate. 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Native Format(s) https://data.nodc.noaa.gov/cgi-bin/iso?id=noaa-model-23471 HTTPS Landing Page NCEI landing page for this dataset Dataset landing page with general information and links to access the data. information https://www.ncdc.noaa.gov/paleo/study/23471 HTTPS Web Browser NCEI Study Page Study page with dataset access information. search https://www.ncdc.noaa.gov/data-access/paleoclimatology-data/datasets/paleoclimatology-modeling HTTPS Information NCEI Paleoclimatology Modeling Page General information for this data type. information http://dx.doi.org/10.4225/41/5a1b6aa448c32 HTTP Download NCEI Direct Download Direct download links for dataset files. download https://www1.ncdc.noaa.gov/pub/data/paleo/gcmoutput/buchanan2018/buchanan2018-biopump.txt HTTP Download NCEI Direct Download Direct download links for dataset files. download https://www1.ncdc.noaa.gov/pub/data/paleo/gcmoutput/buchanan2018/ HTTPS Download /gcmoutput/buchanan2018/ Data Folder download asNeeded This metadata record was translated from DIF using dif-9x-to-iso-19115-2.xsl Version: 2018-10-25