Geoscientific Model Development

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Combined list of the recent articles of the journal Geoscientific Model Development and the recent discussion forum Geoscientific Model Development Discussions
Updated: 2 days 20 hours ago

Machine dependence as a source of uncertainty in climate models: The HadGEM3-GC3.1 CMIP Preindustrial simulation

Thu, 05/16/2019 - 16:53
Machine dependence as a source of uncertainty in climate models: The HadGEM3-GC3.1 CMIP Preindustrial simulation
Maria-Vittoria Guarino, Louise C. Sime, David Schroeder, Grenville M. S. Lister, and Rosalyn Hatcher
Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2019-83,2019
Manuscript under review for GMD (discussion: open, 0 comments)
In this paper, two versions of the UK Preindustrial control simulation prepared for the forthcoming CMIP6 are used to discuss the machine-dependent nature of coupled climate model simulations. We used the HadGEM3-GC3.1 model, the PI control simulation was run on the UK Met Office supercomputer and on the ARCHER supercomputer. Here we investigate the impact of machine dependence on model results and quantify, for a selected case study, the magnitude of the uncertainty.

WAVETRISK-1.0: an adaptive wavelet hydrostatic dynamical core

Thu, 05/16/2019 - 16:53
WAVETRISK-1.0: an adaptive wavelet hydrostatic dynamical core
Nicholas K.-R. Kevlahan and Thomas Dubos
Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2019-102,2019
Manuscript under review for GMD (discussion: open, 0 comments)
WAVETRISK-1.0 is a new adaptive dynamical core for global climate modelling. It uses multiscale adaptive wavelet methods to adjust the grid resolution of the model at each time to guarantee error and make optimal use of computational resources. This technique has the potential to make climate simulations more accurate and allow much higher local resolutions. This zoom capability could also be used to focus on significant phenomena (such as hurricanes) or particular regions of the Earth.

CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework

Wed, 05/15/2019 - 16:53
CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework
Hakase Hayashida, 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
Geosci. Model Dev., 12, 1965-1990, https://doi.org/10.5194/gmd-12-1965-2019, 2019
Ice algae, the primary producer in sea ice, play a fundamental role in shaping marine ecosystems and biogeochemical cycling of key elements in polar regions. In this study, we developed a process-based numerical model component representing sea-ice biogeochemistry for a sea ice–ocean coupled general circulation model. The model developed can be used to simulate the projected changes in sea-ice ecosystems and biogeochemistry in response to on-going rapid decline of the Arctic.

The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations

Tue, 05/14/2019 - 16:53
The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations
David Walters, Anthony J. Baran, Ian Boutle, Malcolm Brooks, Paul Earnshaw, John Edwards, Kalli Furtado, Peter Hill, Adrian Lock, James Manners, Cyril Morcrette, Jane Mulcahy, Claudio Sanchez, Chris Smith, Rachel Stratton, Warren Tennant, Lorenzo Tomassini, Kwinten Van Weverberg, Simon Vosper, Martin Willett, Jo Browse, Andrew Bushell, Kenneth Carslaw, Mohit Dalvi, Richard Essery, Nicola Gedney, Steven Hardiman, Ben Johnson, Colin Johnson, Andy Jones, Colin Jones, Graham Mann, Sean Milton, Heather Rumbold, Alistair Sellar, Masashi Ujiie, Michael Whitall, Keith Williams, and Mohamed Zerroukat
Geosci. Model Dev., 12, 1909-1963, https://doi.org/10.5194/gmd-12-1909-2019, 2019
Global Atmosphere (GA) configurations of the Unified Model (UM) and Global Land (GL) configurations of JULES are developed for use in any global atmospheric modelling application. We describe a recent iteration of these configurations, GA7/GL7, which includes new aerosol and snow schemes and addresses the four critical errors identified in GA6. GA7/GL7 will underpin the UK's contributions to CMIP6, and hence their documentation is important.

HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 1: global and regional module

Tue, 05/14/2019 - 16:53
HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 1: global and regional module
Marc Guevara, Carles Tena, Manuel Porquet, Oriol Jorba, and Carlos Pérez García-Pando
Geosci. Model Dev., 12, 1885-1907, https://doi.org/10.5194/gmd-12-1885-2019, 2019
Atmospheric emission inventories, which describe the amounts of pollutants released into the air by different sources and for specific regions, are an essential input to numerical models that estimate air quality. This work presents the High-Elective Resolution Modelling Emission System version 3 (HERMESv3), an open-source modelling framework that allows adapting existing global and regional emission inventories to the input requirements of air quality models in a flexible and transparent way.

Version 1 of a sea ice module for the physics based, detailed, multi-layer SNOWPACK model

Tue, 05/14/2019 - 16:53
Version 1 of a sea ice module for the physics based, detailed, multi-layer SNOWPACK model
Nander Wever, Leonard Rossmann, Nina Maaß, Katherine C. Leonard, Lars Kaleschke, Marcel Nicolaus, and Michael Lehning
Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2019-97,2019
Manuscript under review for GMD (discussion: open, 0 comments)
Sea ice is an important component of the global climate system. The presence of a snow layer covering sea ice can impact ice mass and energy budgets. The detailed, physics-based, multi-layer snow model SNOWPACK was modified to simulate the snow-sea ice system, providing simulations of the snow microstructure, water percolation and flooding, and superimposed ice formation. The model is applied to in-situ measurements from Snow and Ice Mass-balance Buoys installed in the Antarctic Weddell Sea.

A dual-pass carbon cycle data assimilation system to estimate surface CO2 fluxes and 3D atmospheric CO2 concentrations from spaceborne measurements of atmospheric CO2

Mon, 05/13/2019 - 16:53
A dual-pass carbon cycle data assimilation system to estimate surface CO2 fluxes and 3D atmospheric CO2 concentrations from spaceborne measurements of atmospheric CO2
Rui Han and Xiangjun Tian
Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2019-54,2019
Manuscript under review for GMD (discussion: open, 1 comment)
This manuscript mainly introduce a new version of the carbon cycle data assimilation system Tan-Tracker (v1), which uses a novel dual-pass assimilation framework and based on an advanced assimilation algorithm NLS-4DVar. Tan-Tracker (v1) aims to find more accurate surface CO2 flux estimates based on satellite XCO2 observations. With a more accurate surface carbon flux, Tan-Tracker (v1) can provide a new perspective on carbon budget and become a better tool for carbon cycle research.

Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)

Mon, 05/13/2019 - 16:53
Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)
Seppo Pulkkinen, Daniele Nerini, Andrés A. Pérez Hortal, Carlos Velasco-Forero, Alan Seed, Urs Germann, and Loris Foresti
Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2019-94,2019
Manuscript under review for GMD (discussion: open, 0 comments)
Reliable precipitation forecasts are vital for the society, as water-related hazards can cause economic losses and loss of lives. Pysteps is an open-source Python library for radar-based forecasting. It aims to be a well-documented platform for development of new methods as well as a easy-to-use tool for a wide range of practitioners. The potential of the library is demonstrated via case studies and scientific experiments using radar data from Finland, Switzerland, United States and Australia.

CO2 drawdown due to particle ballasting by glacial aeolian dust: an estimate based on the ocean carbon cycle model MPIOM/HAMOCC version 1.6.2p3

Fri, 05/10/2019 - 16:53
CO2 drawdown due to particle ballasting by glacial aeolian dust: an estimate based on the ocean carbon cycle model MPIOM/HAMOCC version 1.6.2p3
Malte Heinemann, Joachim Segschneider, and Birgit Schneider
Geosci. Model Dev., 12, 1869-1883, https://doi.org/10.5194/gmd-12-1869-2019, 2019
Ocean CO2 uptake played a crucial role for the global cooling during ice ages. Dust formation, e.g. by ice scraping over bedrock, potentially contributed to this CO2 uptake because (1) the iron in the dust is a fertilizer and (2) the heavy dust particles can accelerate sinking organic matter (ballasting hypothesis). This study tests the glacial dust ballasting hypothesis for the first time, using an ocean model. It turns out, however, that the ballasting effect probably played a minor role.

OceanMesh2D 1.0: MATLAB-based software for two-dimensional unstructured mesh generation in coastal ocean modeling

Fri, 05/10/2019 - 16:53
OceanMesh2D 1.0: MATLAB-based software for two-dimensional unstructured mesh generation in coastal ocean modeling
Keith J. Roberts, William J. Pringle, and Joannes J. Westerink
Geosci. Model Dev., 12, 1847-1868, https://doi.org/10.5194/gmd-12-1847-2019, 2019
Computer simulations can be used to reproduce the dynamics of the ocean near the coast. These simulations often use a mesh of triangles to represent the domain since they can be orientated and disparately sized in such a way to accurately fit the coastline shape. This paper describes a software package (OceanMesh2D v1.0) that has been developed in order to automatically and objectively design triangular meshes based on geospatial data inputs that represent the coastline and ocean depths.

RTTOV-gb v1.0 – updates on sensors, absorption models, uncertainty, and availability

Thu, 05/09/2019 - 16:53
RTTOV-gb v1.0 – updates on sensors, absorption models, uncertainty, and availability
Domenico Cimini, James Hocking, Francesco De Angelis, Angela Cersosimo, Francesco Di Paola, Donatello Gallucci, Sabrina Gentile, Edoardo Geraldi, Salvatore Larosa, Saverio Nilo, Filomena Romano, Elisabetta Ricciardelli, Ermann Ripepi, Mariassunta Viggiano, Lorenzo Luini, Carlo Riva, Frank S. Marzano, Pauline Martinet, Yun Young Song, Myoung Hwan Ahn, and Philip W. Rosenkranz
Geosci. Model Dev., 12, 1833-1845, https://doi.org/10.5194/gmd-12-1833-2019, 2019
The fast radiative transfer model RTTOV-gb was developed to foster ground-based microwave radiometer data assimilation into numerical weather prediction models, as introduced in a companion paper (https://doi.org/10.5194/gmd-9-2721-2016). Here we present the updates and new features of the current version (v1.0), which is freely accessible online.

A stochastic rupture earthquake code based on the fiber bundle model (TREMOL v0.1): application to Mexican subduction earthquakes

Wed, 05/08/2019 - 16:53
A stochastic rupture earthquake code based on the fiber bundle model (TREMOL v0.1): application to Mexican subduction earthquakes
Marisol Monterrubio-Velasco, Quetzalcóatl Rodríguez-Pérez, Ramón Zúñiga, Doreen Scholz, Armando Aguilar-Meléndez, and Josep de la Puente
Geosci. Model Dev., 12, 1809-1831, https://doi.org/10.5194/gmd-12-1809-2019, 2019
Earthquakes are the result of brittle failure within the heterogeneous crust of the Earth. In this article, we present a computer code called the stochasTic Rupture Earthquake MOdeL, TREMOL v0.1, developed to investigate the rupture process of asperities on the earthquake rupture surface. According to our results, TREMOL is able to simulate the magnitudes of real earthquakes, showing that it can be a powerful tool to deliver promising new insights into earthquake rupture processes.

Sensitivity study on the main tidal constituents of the Gulf of Tonkin by using the frequency-domain tidal solver in T-UGOm

Tue, 05/07/2019 - 16:53
Sensitivity study on the main tidal constituents of the Gulf of Tonkin by using the frequency-domain tidal solver in T-UGOm
Violaine Piton, Marine Herrmann, Florent Lyard, Patrick Marsaleix, Thomas Duhaut, Damien Allain, and Sylvain Ouillon
Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2019-40,2019
Manuscript under review for GMD (discussion: open, 0 comments)
Tidal dynamics consequences on hydro-sedimentary processes are a recurrent issue in estuarine and coastal processes studies and accurate tidal solutions are a prerequisite for modelling sediment transport, especially in macro-tidal regions. The motivation for the study presented in this publication is to implement and optimize the model configuration that will satisfy this prerequisite in the frame of a larger objective to study the sediment dynamics in the Red River Delta (Vietnam).

Towards end-to-end (E2E) modelling in a consistent NPZD-F modelling framework (ECOSMO E2E_v1.0): application to the North Sea and Baltic Sea

Mon, 05/06/2019 - 16:53
Towards end-to-end (E2E) modelling in a consistent NPZD-F modelling framework (ECOSMO E2E_v1.0): application to the North Sea and Baltic Sea
Ute Daewel, Corinna Schrum, and Jed I. Macdonald
Geosci. Model Dev., 12, 1765-1789, https://doi.org/10.5194/gmd-12-1765-2019, 2019
Here we propose a novel modelling approach that includes an extended food web in a functional-group-type marine ecosystem model (ECOSMO E2E) by formulating new groups for macrobenthos and fish. This enables the estimation of the dynamics of the higher-trophic-level production potential and constitutes a more consistent closure term for the lower-trophic-level ecosystem. Thus, the model allows for the study of the control mechanisms for marine ecosystems at a high spatial and temporal resolution.

Efficient surrogate modeling methods for large-scale Earth system models based on machine-learning techniques

Mon, 05/06/2019 - 16:53
Efficient surrogate modeling methods for large-scale Earth system models based on machine-learning techniques
Dan Lu and Daniel Ricciuto
Geosci. Model Dev., 12, 1791-1807, https://doi.org/10.5194/gmd-12-1791-2019, 2019
This work uses machine-learning techniques to advance the predictive understanding of large-scale Earth systems.

Evaluation of Unified Model Rainfall Forecasts over the Western Ghats and North East states of India

Mon, 05/06/2019 - 16:53
Evaluation of Unified Model Rainfall Forecasts over the Western Ghats and North East states of India
Kuldeep Sharma, Sushant Kumar, Raghavendra Ashrit, Sean Milton, Ashis K. Mitra, and Ekkattil N. Rajagopal
Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2019-65,2019
Manuscript under review for GMD (discussion: open, 0 comments)
This study is based on the long record (2007–2018) of UM model's real time rainfall forecasts over India to highlight the improved skill of forecasts over orographic regions of India. Some of these improvements are attributed to the increased horizontal and vertical resolutions as well as improved physics parameterization schemes while major credit to the substantial improvements in weather forecasting goes to the sophisticated data assimilation systems which utilizes satellite data.

Spatio-temporal consistent bias pattern detection on MIROC5 andFGOALS-g2

Mon, 05/06/2019 - 16:53
Spatio-temporal consistent bias pattern detection on MIROC5 andFGOALS-g2
Bo Cao, Ying Zhao, and Ziheng Zhou
Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2019-107,2019
Manuscript under review for GMD (discussion: open, 0 comments)
We propose a method to detect spatio-temporal consistent bias patterns, which are present in contiguous space with significant and coherent biases in continuous time periods, from climate model outputs. These patterns are ideal for revealing regional and seasonal characteristics of biases and worth further investigation by modelers. Experiment results on both MIROC5 and FGOALS-g2 precipitation outputs show that the proposed approach can produce some important findings.

Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v.1.0)

Mon, 05/06/2019 - 16:53
Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v.1.0)
Douglas S. Hamilton, Rachel A. Scanza, Yan Feng, Joe Guinness, Jasper F. Kok, Longlei Li, Xiaohong Liu, Sagar D. Rathod, Jessica S. Wan, Mingxuan Wu, and Natalie M. Mahowald
Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2019-84,2019
Manuscript under review for GMD (discussion: open, 0 comments)
MIMI 1.0 has been designed for use within Earth System Models to simulate the emission, atmospheric processing and deposition of iron and its soluble fraction. Understanding the iron cycle is important due to its role as an essential micro-nutrient for ocean phytoplankton and its supply limits primary productivity in many of the worlds oceans. Human activity has perturbed the iron cycle and MIMI is capable of diagnosing many of these impacts, and hence is important for future climate studies.

Calibration and analysis of the uncertainty in downscaling global land use and land cover projections from GCAM using Demeter (v1.0.0)

Fri, 05/03/2019 - 16:53
Calibration and analysis of the uncertainty in downscaling global land use and land cover projections from GCAM using Demeter (v1.0.0)
Min Chen, Chris R. Vernon, Maoyi Huang, Katherine V. Calvin, and Ian P. Kraucunas
Geosci. Model Dev., 12, 1753-1764, https://doi.org/10.5194/gmd-12-1753-2019, 2019
Demeter is a community spatial downscaling model that disaggregates land use and land cover changes projected by integrated human–Earth system models. However, Demeter has not been intensively calibrated, and we still lack good knowledge about its sensitivity to key parameters and parameter uncertainties. This paper aims to solve this problem.

Ground subsidence effects on simulating dynamic high latitude surface inundation under permafrost thaw using CLM5

Thu, 05/02/2019 - 18:24
Ground subsidence effects on simulating dynamic high latitude surface inundation under permafrost thaw using CLM5
Altug Ekici, Hanna Lee, David M. Lawrence, Sean C. Swenson, and Catherine Prigent
Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2019-4,2019
Manuscript under review for GMD (discussion: open, 0 comments)
Ice-rich permafrost thaw can create expanding thermokarst lakes as well as shrinking large wetlands. Such processes can have major biogeochemical implications and feedbacks to climate system by altering the pathways and rates of permafrost carbon release. We developed a new model parameterization that allows direct representation of surface water dynamics with subsidence. Our results show increased surface water fractions around western Siberian plains and northeastern territories of Canada.

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