Log in

Relevant bibliographies by topics / Biogeochemical modelling / Journal articles

Journal articles on the topic 'Biogeochemical modelling'

To see the other types of publications on this topic, follow the link: Biogeochemical modelling.

Author: Grafiati

Published: 4 June 2021

Last updated: 21 February 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Biogeochemical modelling.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Tskhai, А. А., and V. Yu Ageikov. "BIOGEOCHEMICAL CYCLES MODELLING IN RESERVOIRS ECOSYSTEMS." PROBLEMS OF ECOLOGICAL MONITORING AND ECOSYSTEM MODELLING 28, no. 4 (2017): 24–37. http://dx.doi.org/10.21513/0207-2564-2017-4-24-37.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Scholes, R. J., and M. C. Scholes. "Applications of biogeochemical modelling in southern Africa." Progress in Physical Geography: Earth and Environment 21, no. 1 (March 1997): 102–12. http://dx.doi.org/10.1177/030913339702100106.

Full text

Abstract:

Biogeochemical modelling is largely concerned with the cycling of carbon, nitrogen, phosphorus and sulphur in the biosphere. It offers a robust approach to modelling many aspects of ecosystem function at the regional scale, since it is not highly dependent on a detailed know ledge of species or organism-level processes. In southern Africa biogeochemical modelling has been used to provide new insight into the geographical distribution and underlying mechanisms of palatable (sweetveld) and unpalatable (sourveld) grasslands and high-herbivory and low- herbivory savannas. It has also been applied to the problem of estimating the emissions of trace gases and smoke particles from vegetation fires in the region, and suggests that the emissions are much lower than previously believed. Work in progress relates to the modelling of tropospheric ozone precursors produced by the soil and plants. Biogeochemical modelling has the potential to be an integrating tool, drawing together data collected at widely different scales in a way that allows hypotheses about the working of the biosphere to be rigorously tested.

APA, Harvard, Vancouver, ISO, and other styles

3

Duarte, P., B. Azevedo, M. Guerreiro, C. Ribeiro, R. Bandeira, A. Pereira, M. Falcão, D. Serpa, and J. Reia. "Biogeochemical modelling of Ria Formosa (South Portugal)." Hydrobiologia 611, no. 1 (July 29, 2008): 115–32. http://dx.doi.org/10.1007/s10750-008-9464-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

CLAIRE, M. W., D. C. CATLING, and K. J. ZAHNLE. "Biogeochemical modelling of the rise in atmospheric oxygen." Geobiology 4, no. 4 (December 2006): 239–69. http://dx.doi.org/10.1111/j.1472-4669.2006.00084.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Warfvinge, Per, Julian Aherne, and Charlotta Walse. "Biogeochemical modelling of EXMAN research sites: A comparison." Forest Ecology and Management 101, no. 1-3 (February 1998): 143–53. http://dx.doi.org/10.1016/s0378-1127(97)00131-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Hill, J., E. E. Popova, D. A. Ham, M. D. Piggott, and M. Srokosz. "Adapting to life: ocean biogeochemical modelling and adaptive remeshing." Ocean Science 10, no. 3 (May 9, 2014): 323–43. http://dx.doi.org/10.5194/os-10-323-2014.

Full text

Abstract:

Abstract. An outstanding problem in biogeochemical modelling of the ocean is that many of the key processes occur intermittently at small scales, such as the sub-mesoscale, that are not well represented in global ocean models. This is partly due to their failure to resolve sub-mesoscale phenomena, which play a significant role in vertical nutrient supply. Simply increasing the resolution of the models may be an inefficient computational solution to this problem. An approach based on recent advances in adaptive mesh computational techniques may offer an alternative. Here the first steps in such an approach are described, using the example of a simple vertical column (quasi-1-D) ocean biogeochemical model. We present a novel method of simulating ocean biogeochemical behaviour on a vertically adaptive computational mesh, where the mesh changes in response to the biogeochemical and physical state of the system throughout the simulation. We show that the model reproduces the general physical and biological behaviour at three ocean stations (India, Papa and Bermuda) as compared to a high-resolution fixed mesh simulation and to observations. The use of an adaptive mesh does not increase the computational error, but reduces the number of mesh elements by a factor of 2–3. Unlike previous work the adaptivity metric used is flexible and we show that capturing the physical behaviour of the model is paramount to achieving a reasonable solution. Adding biological quantities to the adaptivity metric further refines the solution. We then show the potential of this method in two case studies where we change the adaptivity metric used to determine the varying mesh sizes in order to capture the dynamics of chlorophyll at Bermuda and sinking detritus at Papa. We therefore demonstrate that adaptive meshes may provide a suitable numerical technique for simulating seasonal or transient biogeochemical behaviour at high vertical resolution whilst minimising the number of elements in the mesh. More work is required to move this to fully 3-D simulations.

APA, Harvard, Vancouver, ISO, and other styles

7

Hill, J., E. E. Popova, D. A. Ham, M. D. Piggott, and M. Srokosz. "Adapting to life: ocean biogeochemical modelling and adaptive remeshing." Ocean Science Discussions 10, no. 6 (November 5, 2013): 1997–2051. http://dx.doi.org/10.5194/osd-10-1997-2013.

Full text

Abstract:

Abstract. An outstanding problem in biogeochemical modelling of the ocean is that many of the key processes occur intermittently at small scales, such as the sub-mesoscale, that are not well represented in global ocean models. As an example, state-of-the-art models give values of primary production approximately two orders of magnitude lower than those observed in the ocean's oligotrophic gyres, which cover a third of the Earth's surface. This is partly due to their failure to resolve sub-mesoscale phenomena, which play a significant role in nutrient supply. Simply increasing the resolution of the models may be an inefficient computational solution to this problem. An approach based on recent advances in adaptive mesh computational techniques may offer an alternative. Here the first steps in such an approach are described, using the example of a~simple vertical column (quasi 1-D) ocean biogeochemical model. We present a novel method of simulating ocean biogeochemical behaviour on a vertically adaptive computational mesh, where the mesh changes in response to the biogeochemical and physical state of the system throughout the simulation. We show that the model reproduces the general physical and biological behaviour at three ocean stations (India, Papa and Bermuda) as compared to a high-resolution fixed mesh simulation and to observations. The simulations capture both the seasonal and inter-annual variations. The use of an adaptive mesh does not increase the computational error, but reduces the number of mesh elements by a factor of 2–3, so reducing computational overhead. We then show the potential of this method in two case studies where we change the metric used to determine the varying mesh sizes in order to capture the dynamics of chlorophyll at Bermuda and sinking detritus at Papa. We therefore demonstrate adaptive meshes may provide a~suitable numerical technique for simulating seasonal or transient biogeochemical behaviour at high spatial resolution whilst minimising computational cost.

APA, Harvard, Vancouver, ISO, and other styles

8

Holt, Jason, James Harle, Roger Proctor, Sylvain Michel, Mike Ashworth, Crispian Batstone, Icarus Allen, et al. "Modelling the global coastal ocean." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1890 (December 16, 2008): 939–51. http://dx.doi.org/10.1098/rsta.2008.0210.

Full text

Abstract:

Shelf and coastal seas are regions of exceptionally high biological productivity, high rates of biogeochemical cycling and immense socio-economic importance. They are, however, poorly represented by the present generation of Earth system models, both in terms of resolution and process representation. Hence, these models cannot be used to elucidate the role of the coastal ocean in global biogeochemical cycles and the effects global change (both direct anthropogenic and climatic) are having on them. Here, we present a system for simulating all the coastal regions around the world (the Global Coastal Ocean Modelling System) in a systematic and practical fashion. It is based on automatically generating multiple nested model domains, using the Proudman Oceanographic Laboratory Coastal Ocean Modelling System coupled to the European Regional Seas Ecosystem Model. Preliminary results from the system are presented. These demonstrate the viability of the concept, and we discuss the prospects for using the system to explore key areas of global change in shelf seas, such as their role in the carbon cycle and climate change effects on fisheries.

APA, Harvard, Vancouver, ISO, and other styles

9

Sukhoveeva, O. E. "Problems of Modelling Carbon Biogeochemical Cycle in Agricultural Landscapes." Uchenye Zapiski Kazanskogo Universiteta. Seriya Estestvennye Nauki 162, no. 3 (2020): 473–501. http://dx.doi.org/10.26907/2542-064x.2020.3.473-501.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Brigolin, D., VL Meccia, C. Venier, P. Tomassetti, S. Porrello, and R. Pastres. "Modelling biogeochemical fluxes across a Mediterranean fish cage farm." Aquaculture Environment Interactions 5, no. 1 (April 30, 2014): 71–88. http://dx.doi.org/10.3354/aei00093.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Furrer, G. "Steady-State Modelling of Biogeochemical Processes in an Aquifer." Mineralogical Magazine 62A, no. 1 (1998): 483–84. http://dx.doi.org/10.1180/minmag.1998.62a.1.256.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Andrews, Oliver, Erik Buitenhuis, Corinne Le Quéré, and Parvadha Suntharalingam. "Biogeochemical modelling of dissolved oxygen in a changing ocean." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 375, no. 2102 (August 7, 2017): 20160328. http://dx.doi.org/10.1098/rsta.2016.0328.

Full text

Abstract:

Secular decreases in dissolved oxygen concentration have been observed within the tropical oxygen minimum zones (OMZs) and at mid- to high latitudes over the last approximately 50 years. Earth system model projections indicate that a reduction in the oxygen inventory of the global ocean, termed ocean deoxygenation, is a likely consequence of on-going anthropogenic warming. Current models are, however, unable to consistently reproduce the observed trends and variability of recent decades, particularly within the established tropical OMZs. Here, we conduct a series of targeted hindcast model simulations using a state-of-the-art global ocean biogeochemistry model in order to explore and review biases in model distributions of oceanic oxygen. We show that the largest magnitude of uncertainty is entrained into ocean oxygen response patterns due to model parametrization of p CO 2 -sensitive C : N ratios in carbon fixation and imposed atmospheric forcing data. Inclusion of a p CO 2 -sensitive C : N ratio drives historical oxygen depletion within the ocean interior due to increased organic carbon export and subsequent remineralization. Atmospheric forcing is shown to influence simulated interannual variability in ocean oxygen, particularly due to differences in imposed variability of wind stress and heat fluxes. This article is part of the themed issue ‘Ocean ventilation and deoxygenation in a warming world’.

APA, Harvard, Vancouver, ISO, and other styles

13

Lin, Bin-Le, Akiyoshi Sakoda, Ryosuke Shibasaki, Naohiro Goto, and Motoyuki Suzuki. "Modelling a global biogeochemical nitrogen cycle in terrestrial ecosystems." Ecological Modelling 135, no. 1 (November 2000): 89–110. http://dx.doi.org/10.1016/s0304-3800(00)00372-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Eastaugh, C. S., and H. Hasenauer. "Deriving forest fire ignition risk with biogeochemical process modelling." Environmental Modelling & Software 55 (May 2014): 132–42. http://dx.doi.org/10.1016/j.envsoft.2014.01.018.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Boggess, Carolyn Fonyo. "Biogeoeconomics—energy hierarchy, biogeochemical cycles and money." Ecological Modelling 178, no. 1-2 (October 2004): 39–40. http://dx.doi.org/10.1016/j.ecolmodel.2003.12.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Teruzzi, Anna, Giorgio Bolzon, Laura Feudale, and Gianpiero Cossarini. "Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment." Biogeosciences 18, no. 23 (November 30, 2021): 6147–66. http://dx.doi.org/10.5194/bg-18-6147-2021.

Full text

Abstract:

Abstract. Data assimilation has led to advancements in biogeochemical modelling and scientific understanding of the ocean. The recent operational availability of data from BGC-Argo (biogeochemical Argo) floats, which provide valuable insights into key vertical biogeochemical processes, stands to further improve biogeochemical modelling through assimilation schemes that include float observations in addition to traditionally assimilated satellite data. In the present work, we demonstrate the feasibility of joint multi-platform assimilation in realistic biogeochemical applications by presenting the results of 1-year simulations of Mediterranean Sea biogeochemistry. Different combinations of satellite chlorophyll data and BGC-Argo nitrate and chlorophyll data have been tested, and validation with respect to available independent non-assimilated and assimilated (before the assimilation) observations showed that assimilation of both satellite and float observations outperformed the assimilation of platforms considered individually. Moreover, the assimilation of BGC-Argo data impacted the vertical structure of nutrients and phytoplankton in terms of deep chlorophyll maximum depth, intensity, and nutricline depth. The outcomes of the model simulation assimilating both satellite data and BGC-Argo data provide a consistent picture of the basin-wide differences in vertical features associated with summer stratified conditions, describing a relatively high variability between the western and eastern Mediterranean, with thinner and shallower but intense deep chlorophyll maxima associated with steeper and narrower nutriclines in the western Mediterranean.

APA, Harvard, Vancouver, ISO, and other styles

17

Christian, J. R., M. A. Verschell, R. Murtugudde, A. J. Busalacchi, and C. R. McClain. "Biogeochemical modelling of the tropical Pacific Ocean. II: Iron biogeochemistry." Deep Sea Research Part II: Topical Studies in Oceanography 49, no. 1-3 (January 2001): 545–65. http://dx.doi.org/10.1016/s0967-0645(01)00111-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Flipo, Nicolas, Stephanie Even, Michel Poulin, Marie-Hélène Tusseau-Vuillemin, Thierry Ameziane, and Alain Dauta. "Biogeochemical modelling at the river scale: plankton and periphyton dynamics." Ecological Modelling 176, no. 3-4 (September 2004): 333–47. http://dx.doi.org/10.1016/j.ecolmodel.2004.01.012.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Graham, Emily B., and Kirsten S. Hofmockel. "Ecological stoichiometry as a foundation for omics-enabled biogeochemical models of soil organic matter decomposition." Biogeochemistry 157, no. 1 (November 1, 2021): 31–50. http://dx.doi.org/10.1007/s10533-021-00851-2.

Full text

Abstract:

AbstractCoupled biogeochemical cycles drive ecosystem ecology by influencing individual-to-community scale behaviors; yet the development of process-based models that accurately capture these dynamics remains elusive. Soil organic matter (SOM) decomposition in particular is influenced by resource stoichiometry that dictates microbial nutrient acquisition (‘ecological stoichiometry’). Despite its basis in biogeochemical modeling, ecological stoichiometry is only implicitly considered in high-resolution microbial investigations and the metabolic models they inform. State-of-science SOM decomposition models in both fields have advanced largely separately, but they agree on a need to move beyond seminal pool-based models. This presents an opportunity and a challenge to maximize the strengths of various models across different scales and environmental contexts. To address this challenge, we contend that ecological stoichiometry provides a framework for merging biogeochemical and microbiological models, as both explicitly consider substrate chemistries that are the basis of ecological stoichiometry as applied to SOM decomposition. We highlight two gaps that limit our understanding of SOM decomposition: (1) understanding how individual microorganisms alter metabolic strategies in response to substrate stoichiometry and (2) translating this knowledge to the scale of biogeochemical models. We suggest iterative information exchange to refine the objectives of high-resolution investigations and to specify limited dynamics for representation in large-scale models, resulting in a new class of omics-enabled biogeochemical models. Assimilating theoretical and modelling frameworks from different scientific domains is the next frontier in SOM decomposition modelling; advancing technologies in the context of stoichiometric theory provides a consistent framework for interpreting molecular data, and further distilling this information into tractable SOM decomposition models.

APA, Harvard, Vancouver, ISO, and other styles

20

Van Oijen, Marcel, Zoltán Barcza, Roberto Confalonieri, Panu Korhonen, György Kröel-Dulay, Eszter Lellei-Kovács, Gaëtan Louarn, et al. "Incorporating Biodiversity into Biogeochemistry Models to Improve Prediction of Ecosystem Services in Temperate Grasslands: Review and Roadmap." Agronomy 10, no. 2 (February 12, 2020): 259. http://dx.doi.org/10.3390/agronomy10020259.

Full text

Abstract:

Multi-species grasslands are reservoirs of biodiversity and provide multiple ecosystem services, including fodder production and carbon sequestration. The provision of these services depends on the control exerted on the biogeochemistry and plant diversity of the system by the interplay of biotic and abiotic factors, e.g., grazing or mowing intensity. Biogeochemical models incorporate a mechanistic view of the functioning of grasslands and provide a sound basis for studying the underlying processes. However, in these models, the simulation of biogeochemical cycles is generally not coupled to simulation of plant species dynamics, which leads to considerable uncertainty about the quality of predictions. Ecological models, on the other hand, do account for biodiversity with approaches adopted from plant demography, but without linking the dynamics of plant species to the biogeochemical processes occurring at the community level, and this hampers the models’ capacity to assess resilience against abiotic stresses such as drought and nutrient limitation. While setting out the state-of-the-art developments of biogeochemical and ecological modelling, we explore and highlight the role of plant diversity in the regulation of the ecosystem processes underlying the ecosystems services provided by multi-species grasslands. An extensive literature and model survey was carried out with an emphasis on technically advanced models reconciling biogeochemistry and biodiversity, which are readily applicable to managed grasslands in temperate latitudes. We propose a roadmap of promising developments in modelling.

APA, Harvard, Vancouver, ISO, and other styles

21

Hayashida, Hakase, James R. Christian, Amber M. Holdsworth, Xianmin Hu, Adam H. Monahan, Eric Mortenson, Paul G. Myers, Olivier G. J. Riche, Tessa Sou, and Nadja S. Steiner. "CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework." Geoscientific Model Development 12, no. 5 (May 15, 2019): 1965–90. http://dx.doi.org/10.5194/gmd-12-1965-2019.

Full text

Abstract:

Abstract. Process-based numerical models are a useful tool for studying marine ecosystems and associated biogeochemical processes in ice-covered regions where observations are scarce. To this end, CSIB v1 (Canadian Sea-ice Biogeochemistry version 1), a new sea-ice biogeochemical model, has been developed and embedded into the Nucleus for European Modelling of the Ocean (NEMO) modelling system. This model consists of a three-compartment (ice algae, nitrate, and ammonium) sea-ice ecosystem and a two-compartment (dimethylsulfoniopropionate and dimethylsulfide) sea-ice sulfur cycle which are coupled to pelagic ecosystem and sulfur-cycle models at the sea-ice–ocean interface. In addition to biological and chemical sources and sinks, the model simulates the horizontal transport of biogeochemical state variables within sea ice through a one-way coupling to a dynamic-thermodynamic sea-ice model (LIM2; the Louvain-la-Neuve Sea Ice Model version 2). The model results for 1979 (after a decadal spin-up) are presented and compared to observations and previous model studies for a brief discussion on the model performance. Furthermore, this paper provides discussion on technical aspects of implementing the sea-ice biogeochemistry and assesses the model sensitivity to (1) the temporal resolution of the snowfall forcing data, (2) the representation of light penetration through snow, (3) the horizontal transport of sea-ice biogeochemical state variables, and (4) light attenuation by ice algae. The sea-ice biogeochemical model has been developed within the generic framework of NEMO to facilitate its use within different configurations and domains, and can be adapted for use with other NEMO-based sub-models such as LIM3 (the Louvain-la-Neuve Sea Ice Model version 3) and PISCES (Pelagic Interactions Scheme for Carbon and Ecosystem Studies).

APA, Harvard, Vancouver, ISO, and other styles

22

Zhang, Weitao, and George B. Arhonditsis. "A Bayesian hierarchical framework for calibrating aquatic biogeochemical models." Ecological Modelling 220, no. 18 (September 2009): 2142–61. http://dx.doi.org/10.1016/j.ecolmodel.2009.05.023.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Omlin, Martin, Peter Reichert, and Richard Forster. "Biogeochemical model of Lake Zürich: model equations and results." Ecological Modelling 141, no. 1-3 (July 2001): 77–103. http://dx.doi.org/10.1016/s0304-3800(01)00256-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Worman, A. "Coupled hydrological and biogeochemical model for aqueous contaminant transport." Marine and Freshwater Research 46, no. 1 (1995): 197. http://dx.doi.org/10.1071/mf9950197.

Full text

Abstract:

A coupled hydrological and biogeochemical model for aqueous contaminant transport has been developed on the basis of field data on phosphorus transport in minor drainage brooks through agricultural areas in Sweden. Large scattering exists in constitutive parameters reflecting mass transfer due to solute/particle sorption and retention in bed sediments. To cope with these uncertainties, a physical/modelling framework was developed that, in a deterministic way, takes into account the most essential mechanisms controlling the transport on a regional scale and also includes randomness in process behaviour. Constitutive parameters of the governing system are conceived as stochastic, continuous fields in space and can be evaluated from field data by means of geostatistics. This modelling approach enables one to conduct analyses of uncertainty/error propagation and effects of system heterogeneity on both expected predictions and confidence intervals. Depending on the governing dimensionless numbers of the problem, changes in the covariance structure of parameter fields may cause severe deviations between statistically expected predictions associated with a stochastic parameter field and predictions based on the average value of the parameter.

APA, Harvard, Vancouver, ISO, and other styles

25

Ford, David A., Johan van der Molen, Kieran Hyder, John Bacon, Rosa Barciela, Veronique Creach, Robert McEwan, Piet Ruardij, and Rodney Forster. "Observing and modelling phytoplankton community structure in the North Sea." Biogeosciences 14, no. 6 (March 21, 2017): 1419–44. http://dx.doi.org/10.5194/bg-14-1419-2017.

Full text

Abstract:

Abstract. Phytoplankton form the base of the marine food chain, and knowledge of phytoplankton community structure is fundamental when assessing marine biodiversity. Policy makers and other users require information on marine biodiversity and other aspects of the marine environment for the North Sea, a highly productive European shelf sea. This information must come from a combination of observations and models, but currently the coastal ocean is greatly under-sampled for phytoplankton data, and outputs of phytoplankton community structure from models are therefore not yet frequently validated. This study presents a novel set of in situ observations of phytoplankton community structure for the North Sea using accessory pigment analysis. The observations allow a good understanding of the patterns of surface phytoplankton biomass and community structure in the North Sea for the observed months of August 2010 and 2011. Two physical–biogeochemical ocean models, the biogeochemical components of which are different variants of the widely used European Regional Seas Ecosystem Model (ERSEM), were then validated against these and other observations. Both models were a good match for sea surface temperature observations, and a reasonable match for remotely sensed ocean colour observations. However, the two models displayed very different phytoplankton community structures, with one better matching the in situ observations than the other. Nonetheless, both models shared some similarities with the observations in terms of spatial features and inter-annual variability. An initial comparison of the formulations and parameterizations of the two models suggests that diversity between the parameter settings of model phytoplankton functional types, along with formulations which promote a greater sensitivity to changes in light and nutrients, is key to capturing the observed phytoplankton community structure. These findings will help inform future model development, which should be coupled with detailed validation studies, in order to help facilitate the wider application of marine biogeochemical modelling to user and policy needs.

APA, Harvard, Vancouver, ISO, and other styles

26

Sándor, R., Z. Barcza, D. Hidy, E. Lellei-Kovács, S. Ma, and G. Bellocchi. "Modelling of grassland fluxes in Europe: Evaluation of two biogeochemical models." Agriculture, Ecosystems & Environment 215 (January 2016): 1–19. http://dx.doi.org/10.1016/j.agee.2015.09.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

von Gunten, Urs, and Gerhard Furrer. "Steady-state modelling of biogeochemical processes in columns with aquifer material:." Chemical Geology 167, no. 3-4 (June 2000): 271–84. http://dx.doi.org/10.1016/s0009-2541(99)00228-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Regnier, Pierre, Sandra Arndt, Nicolas Goossens, Chiara Volta, Goulven G. Laruelle, Ronny Lauerwald, and Jens Hartmann. "Modelling Estuarine Biogeochemical Dynamics: From the Local to the Global Scale." Aquatic Geochemistry 19, no. 5-6 (November 2013): 591–626. http://dx.doi.org/10.1007/s10498-013-9218-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Bruggeman, Jorn, and Karsten Bolding. "A general framework for aquatic biogeochemical models." Environmental Modelling & Software 61 (November 2014): 249–65. http://dx.doi.org/10.1016/j.envsoft.2014.04.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Toner, Brandy M., Sarah L. Nicholas, and Jill K. Coleman Wasik. "Scaling up: fulfilling the promise of X-ray microprobe for biogeochemical research." Environmental Chemistry 11, no. 1 (2014): 4. http://dx.doi.org/10.1071/en13162.

Full text

Abstract:

Environmental context Although biogeochemical processes in the environment are often considered on large spatial scales, critical processes can occur at fine-spatial scales. Quantifying these processes is a challenge, but significant recent developments in microprobe X-ray absorption spectroscopy in terms of data collection and analysis greatly facilitate micro-scale observations at the sample-level. These mapping methods create datasets that can be integrated with bulk observations with the potential for widespread application to biogeochemical research. Abstract Biogeochemists measure and model fluxes of materials among environmental compartments, often considering large spatial-scales within and among ecosystems. However, critical biogeochemical processes occur at fine-spatial scales, and quantifying these processes is a challenge. Recent developments in microprobe X-ray absorption spectroscopy (XAS) data collection and analysis allow for micro-scale observations and quantification of chemical species at the sample-level. These speciation mapping methods create datasets that can be integrated with bulk observations through empirical and theoretical modelling. Speciation mapping approaches are possible with existing instrumentation, but the widespread application to biogeochemical research is hindered by the small number of instruments currently available.

APA, Harvard, Vancouver, ISO, and other styles

31

Nakhaei, Nader, Leon Boegman, Mahyar Mehdizadeh, and Mark Loewen. "Three-dimensional biogeochemical modeling of eutrophication in Edmonton stormwater ponds." Ecological Modelling 456 (September 2021): 109684. http://dx.doi.org/10.1016/j.ecolmodel.2021.109684.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Romero, J. R., J. P. Antenucci, and J. Imberger. "One- and three-dimensional biogeochemical simulations of two differing reservoirs." Ecological Modelling 174, no. 1-2 (May 2004): 143–60. http://dx.doi.org/10.1016/j.ecolmodel.2004.01.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Smith, Nicola J., Garry W. McDonald, and Murray G. Patterson. "Biogeochemical cycling in the anthropocene: Quantifying global environment-economy exchanges." Ecological Modelling 418 (February 2020): 108816. http://dx.doi.org/10.1016/j.ecolmodel.2019.108816.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Huntingford, C., B. B. B. Booth, S. Sitch, N. Gedney, J. A. Lowe, S. K. Liddicoat, L. M. Mercado, et al. "IMOGEN: an intermediate complexity model to evaluate terrestrial impacts of a changing climate." Geoscientific Model Development 3, no. 2 (November 29, 2010): 679–87. http://dx.doi.org/10.5194/gmd-3-679-2010.

Full text

Abstract:

Abstract. We present a computationally efficient modelling system, IMOGEN, designed to undertake global and regional assessment of climate change impacts on the physical and biogeochemical behaviour of the land surface. A pattern-scaling approach to climate change drives a gridded land surface and vegetation model MOSES/TRIFFID. The structure allows extrapolation of General Circulation Model (GCM) simulations to different future pathways of greenhouse gases, including rapid first-order assessments of how the land surface and associated biogeochemical cycles might change. Evaluation of how new terrestrial process understanding influences such predictions can also be made with relative ease.

APA, Harvard, Vancouver, ISO, and other styles

35

Huntingford, C., B. B. B. Booth, S. Sitch, N. Gedney, J. A. Lowe, S. K. Liddicoat, L. M. Mercado, et al. "IMOGEN: an intermediate complexity model to evaluate terrestrial impacts of a changing climate." Geoscientific Model Development Discussions 3, no. 3 (August 4, 2010): 1161–84. http://dx.doi.org/10.5194/gmdd-3-1161-2010.

Full text

Abstract:

Abstract. We present a computationally efficient modelling system, IMOGEN, designed to undertake global and regional assessment of climate change impacts on the physical and biogeochemical behaviour of the land surface. A pattern-scaling approach to climate change drives a gridded land surface and vegetation model MOSES/TRIFFID. The structure allows extrapolation of General Circulation Model (GCM) simulations to different future pathways of greenhouse gases, including rapid first-order assessments of how the land surface and associated biogeochemical cycles might change. Evaluation of how new terrestrial process understanding influences such predictions can also be made with relative ease.

APA, Harvard, Vancouver, ISO, and other styles

36

Schneider, Lisa K., Nathalie Gypens, Tineke A. Troost, and Willem Stolte. "Modeling mixoplankton along the biogeochemical gradient of the Southern North Sea." Ecological Modelling 459 (November 2021): 109690. http://dx.doi.org/10.1016/j.ecolmodel.2021.109690.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Hochard, Sébastien, Christel Pinazo, Christian Grenz, Jessica L. Burton Evans, and Olivier Pringault. "Impact of microphytobenthos on the sediment biogeochemical cycles: A modeling approach." Ecological Modelling 221, no. 13-14 (July 2010): 1687–701. http://dx.doi.org/10.1016/j.ecolmodel.2010.04.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Giraud, X. "Modelling an alkenone-like proxy record in the NW African upwelling." Biogeosciences 3, no. 3 (June 21, 2006): 251–69. http://dx.doi.org/10.5194/bg-3-251-2006.

Full text

Abstract:

Abstract. A regional biogeochemical model is applied to the NW African coastal upwelling between 19° N and 27° N to investigate how a water temperature proxy, alkenones, are produced at the sea surface and recorded in the slope sediments. The biogeochemical model has two phytoplankton groups: an alkenone producer group, considered to be coccolithophores, and a group comprising other phytoplankton. The Regional Ocean Modelling System (ROMS) is used to simulate the ocean circulation and takes advantage of the Adaptive Grid Refinement in Fortran (AGRIF) package to set up an embedded griding system. In the simulations the alkenone temperature records in the sediments are between 1.1 and 2.3°C colder than the annual mean SSTs. Despite the seasonality of the coccolithophore production, this temperature difference is not mainly due to a seasonal bias, nor to the lateral advection of phytoplankton and phytodetritus seaward from the cold near-shore waters, but to the production depth of the coccolithophores. If coretop alkenone temperatures are effectively recording the annual mean SSTs, the amount of alkenone produced must vary among the coccolithophores in the water column and depend on physiological factors (e.g. growth rate, nutrient stress).

APA, Harvard, Vancouver, ISO, and other styles

39

Menut, Laurent, Guillaume Siour, Bertrand Bessagnet, Florian Couvidat, Emilie Journet, Yves Balkanski, and Karine Desboeufs. "Modelling the mineralogical composition and solubility of mineral dust in the Mediterranean area with CHIMERE 2017r4." Geoscientific Model Development 13, no. 4 (April 24, 2020): 2051–71. http://dx.doi.org/10.5194/gmd-13-2051-2020.

Full text

Abstract:

Abstract. Modelling of mineral dust is often done using one single mean species. But for biogeochemical studies, it could be useful to access to a more detailed information on differentiated mineral species and the associated chemical composition. Differentiating between mineral species would also induce different optical properties and densities and then different radiative impact, transport and deposition. In this study, the mineralogical differentiation is implemented in the CHIMERE regional chemistry-transport model, by using global databases. The results show that this implementation does not change the results much in terms of aerosol optical depth, surface concentrations and deposition fluxes. But the information on mineralogy, with a high spatial (a few kilometres) and temporal (1 h) resolution, is now available and is ready to be used for future biogeochemical studies.

APA, Harvard, Vancouver, ISO, and other styles

40

Prommer, H., G. B. Davis, and D. A. Barry. "Geochemical changes during biodegradation of petroleum hydrocarbons: field investigations and biogeochemical modelling." Organic Geochemistry 30, no. 6 (June 1999): 423–35. http://dx.doi.org/10.1016/s0146-6380(99)00027-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Christian, J. R., M. A. Verschell, R. Murtugudde, A. J. Busalacchi, and C. R. McClain. "Biogeochemical modelling of the tropical Pacific Ocean. I: Seasonal and interannual variability." Deep Sea Research Part II: Topical Studies in Oceanography 49, no. 1-3 (January 2001): 509–43. http://dx.doi.org/10.1016/s0967-0645(01)00110-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Brun, Adam, Peter Engesgaard, Thomas H. Christensen, and Dan Rosbjerg. "Modelling of transport and biogeochemical processes in pollution plumes: Vejen landfill, Denmark." Journal of Hydrology 256, no. 3-4 (January 2002): 228–47. http://dx.doi.org/10.1016/s0022-1694(01)00549-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Greene, S., P. J. Johnes, J. P. Bloomfield, S. M. Reaney, R. Lawley, Y. Elkhatib, J. Freer, N. Odoni, C. J. A. Macleod, and B. Percy. "A geospatial framework to support integrated biogeochemical modelling in the United Kingdom." Environmental Modelling & Software 68 (June 2015): 219–32. http://dx.doi.org/10.1016/j.envsoft.2015.02.012.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Serpa, Dalila, Pedro Pousão Ferreira, Miguel Caetano, Luís Cancela da Fonseca, Maria Teresa Dinis, and Pedro Duarte. "Modelling of biogeochemical processes in fish earth ponds: Model development and calibration." Ecological Modelling 247 (December 2012): 286–301. http://dx.doi.org/10.1016/j.ecolmodel.2012.08.021.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Ács, Ferenc, and H. Breuer. "Modelling of Soil Respiration in Hungary." Agrokémia és Talajtan 55, no. 1 (March 1, 2006): 59–68. http://dx.doi.org/10.1556/agrokem.55.2006.1.7.

Full text

Abstract:

The climatology of soil respiration in Hungary is presented. Soil respiration is estimated by a Thornthwaite-based biogeochemical model using soil hydrophysical data and climatological fields of precipitation and air temperature. Soil respiration fields are analyzed for different soil textures (sand, sandy loam, loam, clay loam and clay) and time periods (year, growing season and months). Strong linear relationships were found between soil respiration and the actual evapotranspiration for annual and growing season time periods. In winter months soil respiration is well correlated with air temperature, while in summer months there is a quite variable relationship with water balance components. The strength of linear relationship between soil respiration and climatic variables is much better for coarser than for finer soil texture.

APA, Harvard, Vancouver, ISO, and other styles

46

Gutknecht, Elodie, Guillaume Reffray, Alexandre Mignot, Tomasz Dabrowski, and Marcos G. Sotillo. "Modelling the marine ecosystem of Iberia–Biscay–Ireland (IBI) European waters for CMEMS operational applications." Ocean Science 15, no. 6 (November 15, 2019): 1489–516. http://dx.doi.org/10.5194/os-15-1489-2019.

Full text

Abstract:

Abstract. As part of the Copernicus Marine Environment Monitoring Service (CMEMS), a physical–biogeochemical coupled model system has been developed to monitor and forecast the ocean dynamics and marine ecosystem of the European waters and more specifically on the Iberia–Biscay–Ireland (IBI) area. The CMEMS IBI coupled model covers the north-east Atlantic Ocean from the Canary Islands to Iceland, including the North Sea and the western Mediterranean, with a NEMO-PISCES 1∕36∘ model application. The coupled system has been providing 7 d weekly ocean forecasts for CMEMS since April 2018. Prior to its operational launch, a pre-operational qualification simulation (2010–2016) has allowed assessing the model's capacity to reproduce the main biogeochemical and ecosystem features of the IBI area. The objective of this paper is then to describe the consistency and skill assessment of the PISCES biogeochemical model using this 7-year qualification simulation. The model results are compared with available satellite estimates as well as in situ observations (ICES, EMODnet and BGC-Argo). The simulation successfully reproduces the spatial distribution and seasonal cycles of oxygen, nutrients, chlorophyll a and net primary production, and confirms that PISCES is suitable at such a resolution and can be used for operational analysis and forecast applications. This model system can be a useful tool to better understand the current state and changes in the marine biogeochemistry of European waters and can also provide key variables for developing indicators to monitor the health of marine ecosystems. These indicators may be of interest to scientists, policy makers, environmental agencies and the general public.

APA, Harvard, Vancouver, ISO, and other styles

47

Baird, Mark E., Karen A. Wild-Allen, John Parslow, Mathieu Mongin, Barbara Robson, Jennifer Skerratt, Farhan Rizwi, et al. "CSIRO Environmental Modelling Suite (EMS): scientific description of the optical and biogeochemical models (vB3p0)." Geoscientific Model Development 13, no. 9 (September 25, 2020): 4503–53. http://dx.doi.org/10.5194/gmd-13-4503-2020.

Full text

Abstract:

Abstract. Since the mid-1990s, Australia's Commonwealth Science Industry and Research Organisation (CSIRO) has been developing a biogeochemical (BGC) model for coupling with a hydrodynamic and sediment model for application in estuaries, coastal waters and shelf seas. The suite of coupled models is referred to as the CSIRO Environmental Modelling Suite (EMS) and has been applied at tens of locations around the Australian continent. At a mature point in the BGC model's development, this paper presents a full mathematical description, as well as links to the freely available code and user guide. The mathematical description is structured into processes so that the details of new parameterisations can be easily identified, along with their derivation. In EMS, the underwater light field is simulated by a spectrally resolved optical model that calculates vertical light attenuation from the scattering and absorption of 20+ optically active constituents. The BGC model itself cycles carbon, nitrogen, phosphorous and oxygen through multiple phytoplankton, zooplankton, detritus and dissolved organic and inorganic forms in multiple water column and sediment layers. The water column is dynamically coupled to the sediment to resolve deposition, resuspension and benthic–pelagic biogeochemical fluxes. With a focus on shallow waters, the model also includes detailed representations of benthic plants such as seagrass, macroalgae and coral polyps. A second focus has been on, where possible, the use of geometric derivations of physical limits to constrain ecological rates. This geometric approach generally requires population-based rates to be derived from initially considering the size and shape of individuals. For example, zooplankton grazing considers encounter rates of one predator on a prey field based on summing relative motion of the predator with the prey individuals and the search area; chlorophyll synthesis includes a geometrically derived self-shading term; and the bottom coverage of benthic plants is calculated from their biomass using an exponential form derived from geometric arguments. This geometric approach has led to a more algebraically complicated set of equations when compared to empirical biogeochemical model formulations based on populations. But while being algebraically complicated, the model has fewer unconstrained parameters and is therefore simpler to move between applications than it would otherwise be. The version of EMS described here is implemented in the eReefs project that delivers a near-real-time coupled hydrodynamic, sediment and biogeochemical simulation of the Great Barrier Reef, northeast Australia, and its formulation provides an example of the application of geometric reasoning in the formulation of aquatic ecological processes.

APA, Harvard, Vancouver, ISO, and other styles

48

Provoost, P., S. van Heuven, K. Soetaert, R. W. P. M. Laane, and J. J. Middelburg. "Seasonal and long-term changes in pH in the Dutch coastal zone." Biogeosciences 7, no. 11 (November 26, 2010): 3869–78. http://dx.doi.org/10.5194/bg-7-3869-2010.

Full text

Abstract:

Abstract. Recent observations and modelling studies suggest that biogeochemical changes can mask atmospheric CO2-induced pH decreases. Data collected by the Dutch monitoring authorities in different coastal systems (North Sea, Wadden Sea, Ems-Dollard, Eastern Scheldt and Scheldt estuary) since 1975 provide an excellent opportunity to test whether this is the case in the Dutch coastal zone. The time-series were analysed using Multi-Resolution Analysis (MRA) which resulted in the identification of system-dependent patterns on both seasonal and intra-annual time scales. The observed rates of pH change greatly exceed those expected from enhanced CO2 uptake, thus suggesting that other biogeochemical processes, possibly related to changes in nutrient loading, can play a dominant role in ocean acidification.

APA, Harvard, Vancouver, ISO, and other styles

49

Bricaud, Clément, Julien Le Sommer, Gurvan Madec, Christophe Calone, Julie Deshayes, Christian Ethe, Jérôme Chanut, and Marina Levy. "Multi-grid algorithm for passive tracer transport in the NEMO ocean circulation model: a case study with the NEMO OGCM (version 3.6)." Geoscientific Model Development 13, no. 11 (November 10, 2020): 5465–83. http://dx.doi.org/10.5194/gmd-13-5465-2020.

Full text

Abstract:

Abstract. Ocean biogeochemical models are key tools for both scientific and operational applications. Nevertheless the cost of these models is often expensive because of the large number of biogeochemical tracers. This has motivated the development of multi-grid approaches where ocean dynamics and tracer transport are computed on grids of different spatial resolution. However, existing multi-grid approaches to tracer transport in ocean modelling do not allow the computation of ocean dynamics and tracer transport simultaneously. This paper describes a new multi-grid approach developed for accelerating the computation of passive tracer transport in the Nucleus for European Modelling of the Ocean (NEMO) ocean circulation model. In practice, passive tracer transport is computed at runtime on a grid with coarser spatial resolution than the hydrodynamics, which reduces the CPU cost of computing the evolution of tracers. We describe the multi-grid algorithm, its practical implementation in the NEMO ocean model, and discuss its performance on the basis of a series of sensitivity experiments with global ocean model configurations. Our experiments confirm that the spatial resolution of hydrodynamical fields can be coarsened by a factor of 3 in both horizontal directions without significantly affecting the resolved passive tracer fields. Overall, the proposed algorithm yields a reduction by a factor of 7 of the overhead associated with running a full biogeochemical model like PISCES (with 24 passive tracers). Propositions for further reducing this cost without affecting the resolved solution are discussed.

APA, Harvard, Vancouver, ISO, and other styles

50

Kwiatkowski, L., A. Yool, J. I. Allen, T. R. Anderson, R. Barciela, E. T. Buitenhuis, M. Butenschön, et al. "iMarNet: an ocean biogeochemistry model intercomparison project within a common physical ocean modelling framework." Biogeosciences 11, no. 24 (December 19, 2014): 7291–304. http://dx.doi.org/10.5194/bg-11-7291-2014.

Full text

Abstract:

Abstract. Ocean biogeochemistry (OBGC) models span a wide variety of complexities, including highly simplified nutrient-restoring schemes, nutrient–phytoplankton–zooplankton–detritus (NPZD) models that crudely represent the marine biota, models that represent a broader trophic structure by grouping organisms as plankton functional types (PFTs) based on their biogeochemical role (dynamic green ocean models) and ecosystem models that group organisms by ecological function and trait. OBGC models are now integral components of Earth system models (ESMs), but they compete for computing resources with higher resolution dynamical setups and with other components such as atmospheric chemistry and terrestrial vegetation schemes. As such, the choice of OBGC in ESMs needs to balance model complexity and realism alongside relative computing cost. Here we present an intercomparison of six OBGC models that were candidates for implementation within the next UK Earth system model (UKESM1). The models cover a large range of biological complexity (from 7 to 57 tracers) but all include representations of at least the nitrogen, carbon, alkalinity and oxygen cycles. Each OBGC model was coupled to the ocean general circulation model Nucleus for European Modelling of the Ocean (NEMO) and results from physically identical hindcast simulations were compared. Model skill was evaluated for biogeochemical metrics of global-scale bulk properties using conventional statistical techniques. The computing cost of each model was also measured in standardised tests run at two resource levels. No model is shown to consistently outperform all other models across all metrics. Nonetheless, the simpler models are broadly closer to observations across a number of fields and thus offer a high-efficiency option for ESMs that prioritise high-resolution climate dynamics. However, simpler models provide limited insight into more complex marine biogeochemical processes and ecosystem pathways, and a parallel approach of low-resolution climate dynamics and high-complexity biogeochemistry is desirable in order to provide additional insights into biogeochemistry–climate interactions.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!