Subjects -> EARTH SCIENCES (Total: 771 journals)
    - EARTH SCIENCES (527 journals)
    - GEOLOGY (94 journals)
    - GEOPHYSICS (33 journals)
    - HYDROLOGY (29 journals)
    - OCEANOGRAPHY (88 journals)

EARTH SCIENCES (527 journals)                  1 2 3 | Last

Showing 1 - 200 of 371 Journals sorted alphabetically
ACS Earth and Space Chemistry     Free   (Followers: 6)
Acta Brasiliensis     Open Access  
Acta Geochimica     Hybrid Journal   (Followers: 6)
Acta Geodaetica et Geophysica     Hybrid Journal   (Followers: 2)
Acta Geológica Lilloana     Open Access  
Acta Geophysica     Hybrid Journal   (Followers: 9)
Acta Geotechnica     Hybrid Journal   (Followers: 6)
Acta Meteorologica Sinica     Hybrid Journal   (Followers: 4)
Advances in High Energy Physics     Open Access   (Followers: 23)
Advances in Limnology     Full-text available via subscription   (Followers: 2)
Advances In Physics     Hybrid Journal   (Followers: 29)
Aeolian Research     Hybrid Journal   (Followers: 7)
African Journal of Aquatic Science     Hybrid Journal   (Followers: 17)
AGU Advances     Open Access  
Algological Studies     Full-text available via subscription   (Followers: 1)
All Earth     Open Access   (Followers: 2)
Alpine Botany     Hybrid Journal   (Followers: 4)
AMBIO     Hybrid Journal   (Followers: 11)
Anales del Instituto de la Patagonia     Open Access  
Andean geology     Open Access   (Followers: 10)
Annales Henri Poincaré     Hybrid Journal   (Followers: 2)
Annals of Geophysics     Open Access   (Followers: 12)
Annals of GIS     Open Access   (Followers: 30)
Annual Review of Marine Science     Full-text available via subscription   (Followers: 12)
Anthropocene     Hybrid Journal   (Followers: 6)
Anthropocene Review     Hybrid Journal   (Followers: 9)
Anuário do Instituto de Geociências     Open Access  
Applied Clay Science     Hybrid Journal   (Followers: 6)
Applied Computing and Geosciences     Open Access   (Followers: 3)
Applied Geochemistry     Hybrid Journal   (Followers: 14)
Applied Geomatics     Hybrid Journal   (Followers: 4)
Applied Geophysics     Hybrid Journal   (Followers: 11)
Applied Ocean Research     Hybrid Journal   (Followers: 6)
Applied Petrochemical Research     Open Access   (Followers: 2)
Aquatic Conservation Marine and Freshwater Ecosystems     Hybrid Journal   (Followers: 44)
Arctic Science     Open Access   (Followers: 7)
Arctic, Antarctic, and Alpine Research     Open Access   (Followers: 12)
arktos : The Journal of Arctic Geosciences     Hybrid Journal  
Artificial Intelligence in Geosciences     Open Access   (Followers: 6)
Artificial Satellites     Open Access   (Followers: 21)
Asia-Pacific Journal of Atmospheric Sciences     Hybrid Journal   (Followers: 21)
Asian Journal of Earth Sciences     Open Access   (Followers: 16)
Asian Journal of Physical and Chemical Sciences     Open Access   (Followers: 2)
Asian Review of Environmental and Earth Sciences     Open Access   (Followers: 1)
Atlantic Geology : Journal of the Atlantic Geoscience Society / Atlantic Geology : revue de la Société Géoscientifique de l'Atlantique     Open Access   (Followers: 10)
Atmosphere-Ocean     Full-text available via subscription   (Followers: 16)
Atmospheric and Climate Sciences     Open Access   (Followers: 30)
Australian Journal of Earth Sciences: An International Geoscience Journal of the Geological Society of Australia     Hybrid Journal   (Followers: 10)
Austrian Journal of Earth Sciences     Open Access   (Followers: 1)
AWWA Water Science     Hybrid Journal   (Followers: 1)
Bonorowo Wetlands     Open Access  
Boreas: An International Journal of Quaternary Research     Hybrid Journal   (Followers: 13)
Brill Research Perspectives in Map History     Full-text available via subscription  
Bulletin of Earthquake Engineering     Hybrid Journal   (Followers: 10)
Bulletin of Geosciences     Open Access   (Followers: 11)
Bulletin of the Lebedev Physics Institute     Hybrid Journal  
Bulletin of the Seismological Society of America     Full-text available via subscription   (Followers: 26)
Bulletin of Volcanology     Hybrid Journal   (Followers: 22)
Canadian Mineralogist     Full-text available via subscription   (Followers: 5)
Canadian Water Resources Journal     Hybrid Journal   (Followers: 18)
Carbonates and Evaporites     Hybrid Journal   (Followers: 1)
CATENA     Hybrid Journal   (Followers: 11)
Chemical Geology     Hybrid Journal   (Followers: 31)
Chinese Geographical Science     Hybrid Journal   (Followers: 6)
Ciencia del suelo     Open Access   (Followers: 1)
Ciencias Espaciales     Open Access  
Climate and Development     Hybrid Journal   (Followers: 32)
Coastal Management     Hybrid Journal   (Followers: 29)
Cogent Geoscience     Open Access  
Communications Earth & Environment     Open Access   (Followers: 2)
Comptes Rendus : Geoscience     Open Access   (Followers: 9)
Computational Geosciences     Hybrid Journal   (Followers: 17)
Computational Mathematics and Mathematical Physics     Hybrid Journal   (Followers: 5)
Computers and Geotechnics     Hybrid Journal   (Followers: 12)
Continental Shelf Research     Hybrid Journal   (Followers: 12)
Contributions to Mineralogy and Petrology     Hybrid Journal   (Followers: 11)
Contributions to Plasma Physics     Hybrid Journal   (Followers: 3)
Coral Reefs     Hybrid Journal   (Followers: 22)
Cretaceous Research     Hybrid Journal   (Followers: 10)
Depositional Record     Open Access  
Développement durable et territoires     Open Access   (Followers: 2)
Diatom Research     Hybrid Journal   (Followers: 3)
Doklady Physics     Hybrid Journal   (Followers: 1)
Dynamics of Atmospheres and Oceans     Hybrid Journal   (Followers: 19)
E&S Engineering and Science     Open Access  
E3S Web of Conferences     Open Access  
Earth and Planetary Physics     Open Access   (Followers: 2)
Earth and Planetary Science Letters     Hybrid Journal   (Followers: 140)
Earth and Space Science     Open Access   (Followers: 26)
Earth Interactions     Open Access   (Followers: 10)
Earth Science Malaysia     Open Access  
Earth Science Research     Open Access   (Followers: 9)
Earth Sciences Pakistan     Open Access  
Earth Sciences Research Journal     Open Access  
Earth Surface Dynamics (ESurf)     Open Access   (Followers: 10)
Earth Surface Dynamics Discussions (ESurfD)     Open Access   (Followers: 1)
Earth Surface Processes and Landforms     Hybrid Journal   (Followers: 25)
Earth System Dynamics     Open Access   (Followers: 6)
Earth System Dynamics Discussions     Open Access   (Followers: 3)
Earth Systems and Environment     Hybrid Journal   (Followers: 3)
Earth's Future     Open Access   (Followers: 6)
Earth, Planets and Space     Open Access   (Followers: 77)
Earthquake Engineering and Engineering Vibration     Hybrid Journal   (Followers: 8)
Earthquake Research Advances     Open Access   (Followers: 1)
Earthquake Spectra     Hybrid Journal   (Followers: 20)
Ecohydrology     Hybrid Journal   (Followers: 9)
Ecological Questions     Open Access   (Followers: 5)
Electromagnetics     Hybrid Journal   (Followers: 13)
Energy Efficiency     Hybrid Journal   (Followers: 9)
Energy Exploration & Exploitation     Open Access   (Followers: 4)
Energy Geoscience     Open Access  
Environmental Earth Sciences     Hybrid Journal   (Followers: 29)
Environmental Geology     Hybrid Journal   (Followers: 25)
Environmental Geosciences     Full-text available via subscription   (Followers: 6)
Environmental Geotechnics     Hybrid Journal   (Followers: 6)
Environmental Processes : An International Journal     Hybrid Journal  
Erwerbs-Obstbau     Hybrid Journal  
Estuaries and Coasts     Hybrid Journal   (Followers: 22)
Estuarine, Coastal and Shelf Science     Hybrid Journal   (Followers: 41)
Estudios Geográficos     Open Access   (Followers: 1)
European Journal of Mineralogy     Hybrid Journal   (Followers: 12)
European Journal of Remote Sensing     Open Access   (Followers: 18)
Exploration Geophysics     Hybrid Journal   (Followers: 4)
Facies     Hybrid Journal   (Followers: 9)
FIGEMPA : Investigación y Desarrollo     Open Access   (Followers: 1)
Física de la Tierra     Open Access  
Folia Musei rerum naturalium Bohemiae occidentalis. Geologica et Paleobiologica     Open Access  
Forestry Chronicle     Full-text available via subscription   (Followers: 9)
Frontiers in Earth Science     Open Access   (Followers: 8)
Frontiers in Soil Science     Open Access  
Frontiers of Earth Science     Hybrid Journal   (Followers: 12)
Fundamental and Applied Limnology / Archiv für Hydrobiologie     Full-text available via subscription   (Followers: 3)
GEM - International Journal on Geomathematics     Hybrid Journal   (Followers: 1)
Geo-Marine Letters     Hybrid Journal   (Followers: 6)
Geoacta     Open Access   (Followers: 2)
GeoArabia     Hybrid Journal  
Geobiology     Hybrid Journal   (Followers: 8)
Geocarto International     Hybrid Journal   (Followers: 23)
Geochemical Perspectives     Hybrid Journal   (Followers: 2)
Geochemistry     Hybrid Journal   (Followers: 5)
Geochemistry : Exploration, Environment, Analysis     Hybrid Journal   (Followers: 6)
Geochemistry, Geophysics, Geosystems     Full-text available via subscription   (Followers: 35)
Geochimica et Cosmochimica Acta     Hybrid Journal   (Followers: 54)
Geochronology (GChron)     Open Access  
Geochronometria     Open Access   (Followers: 1)
Geoderma Regional : The International Journal for Regional Soil Research     Full-text available via subscription   (Followers: 4)
Geodynamics & Tectonophysics     Open Access   (Followers: 3)
Geoenvironmental Disasters     Open Access   (Followers: 3)
Geofluids     Open Access   (Followers: 5)
Geoforum     Hybrid Journal   (Followers: 25)
Geography and Natural Resources     Hybrid Journal   (Followers: 8)
GeoHazards     Open Access   (Followers: 2)
GeoHealth     Open Access  
Geoheritage     Hybrid Journal   (Followers: 1)
Geoinformatics & Geostatistics     Hybrid Journal   (Followers: 14)
Geologia USP : Série Científica     Open Access   (Followers: 1)
Geological Journal     Hybrid Journal   (Followers: 19)
Geological Magazine     Hybrid Journal   (Followers: 16)
Geology Today     Hybrid Journal   (Followers: 31)
Geology, Geophysics and Environment     Open Access   (Followers: 2)
Geomagnetism and Aeronomy     Hybrid Journal   (Followers: 3)
Geomatics, Natural Hazards and Risk     Open Access   (Followers: 13)
Geomechanics and Geophysics for Geo-Energy and Geo-Resources     Hybrid Journal  
Geomechanics for Energy and the Environment     Full-text available via subscription  
GEOmedia     Open Access   (Followers: 1)
Geomorphology     Hybrid Journal   (Followers: 33)
Geophysical & Astrophysical Fluid Dynamics     Hybrid Journal   (Followers: 8)
Geophysical Journal International     Hybrid Journal   (Followers: 39)
Geophysical Prospecting     Hybrid Journal   (Followers: 7)
Geophysics     Full-text available via subscription   (Followers: 19)
Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards     Hybrid Journal   (Followers: 8)
Geoscience Canada : Journal of the Geological Association of Canada / Geoscience Canada : journal de l'Association Géologique du Canada     Full-text available via subscription   (Followers: 6)
Geoscience Communication     Open Access  
Geoscience Data Journal     Open Access   (Followers: 5)
Geoscience Frontiers     Open Access   (Followers: 10)
Geoscience Letters     Open Access  
Geosciences     Open Access   (Followers: 3)
Geosciences Journal     Hybrid Journal   (Followers: 10)
Geoscientific Instrumentation, Methods and Data Systems     Open Access   (Followers: 2)
Geoscientific Instrumentation, Methods and Data Systems Discussions     Open Access   (Followers: 1)
Geoscientific Model Development     Open Access   (Followers: 8)
Geoscientific Model Development Discussions     Open Access  
Geostandards and Geoanalytical Research     Hybrid Journal   (Followers: 3)
Geosystem Engineering     Hybrid Journal  
Geosystems and Geoenvironment     Open Access  
Geotectonic Research     Full-text available via subscription   (Followers: 5)
Geotectonics     Hybrid Journal   (Followers: 9)
Glass Physics and Chemistry     Hybrid Journal   (Followers: 1)
Global and Planetary Change     Hybrid Journal   (Followers: 18)
Global Biogeochemical Cycles     Full-text available via subscription   (Followers: 17)
Gondwana Research     Hybrid Journal   (Followers: 10)
GPS Solutions     Hybrid Journal   (Followers: 28)
Grassland Science     Hybrid Journal  
Ground Water Monitoring & Remediation     Hybrid Journal   (Followers: 25)
Groundwater     Hybrid Journal   (Followers: 37)
Groundwater for Sustainable Development     Full-text available via subscription   (Followers: 5)
Helgoland Marine Research     Open Access   (Followers: 2)
History of Geo- and Space Sciences     Open Access   (Followers: 1)
Hydrobiologia     Hybrid Journal   (Followers: 21)
Hydrogeology Journal     Hybrid Journal   (Followers: 21)

        1 2 3 | Last

Similar Journals
Journal Cover
Geoscientific Model Development Discussions
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Online) 1991-962X
Published by Copernicus Publications Homepage  [54 journals]
  • Water Ecosystems Tool (WET) 1.0 – a new generation of flexible
           aquatic ecosystem model

    • Abstract: Water Ecosystems Tool (WET) 1.0 – a new generation of flexible aquatic ecosystem model
      Nicolas Azaña Schnedler-Meyer, Tobias Kuhlmann Andersen, Fenjuan Rose Schmidt Hu, Karsten Bolding, Anders Nielsen, and Dennis Trolle
      Geosci. Model Dev., 15, 3861–3878, https://doi.org/10.5194/gmd-15-3861-2022, 2022
      We present the Water Ecosystems Tool (WET) – a new modular aquatic ecosystem model configurable to a wide array of physical setups, ecosystems and research questions based on the popular FABM–PCLake model. We aim for the model to become a community staple, thus helping to consolidate the state of the art under a few flexible models, with the aim of improving comparability across studies and preventing the re-inventions of the wheel that are common to our scientific modeling community.
      PubDate: Fri, 13 May 2022 13:53:10 +020
      DOI: 10.5194/gmd-15-3861-2022 2022

       
  • Lossy checkpoint compression in full waveform inversion: a case study with
           ZFPv0.5.5 and the overthrust model

    • Abstract: Lossy checkpoint compression in full waveform inversion: a case study with ZFPv0.5.5 and the overthrust model
      Navjot Kukreja, Jan Hückelheim, Mathias Louboutin, John Washbourne, Paul H. J. Kelly, and Gerard J. Gorman
      Geosci. Model Dev., 15, 3815–3829, https://doi.org/10.5194/gmd-15-3815-2022, 2022
      Full waveform inversion (FWI) is a partial-differential equation (PDE)-constrained optimization problem that is notorious for its high computational load and memory footprint. In this paper we present a method that combines recomputation with lossy compression to accelerate the computation with minimal loss of precision in the results. We show this using experiments running FWI with a variety of compression settings on a popular academic dataset.
      PubDate: Thu, 12 May 2022 13:53:10 +020
      DOI: 10.5194/gmd-15-3815-2022 2022

       
  • Training a supermodel with noisy and sparse observations: a case study
           with CPT and the synch rule on SPEEDO – v.1

    • Abstract: Training a supermodel with noisy and sparse observations: a case study with CPT and the synch rule on SPEEDO – v.1
      Francine Schevenhoven and Alberto Carrassi
      Geosci. Model Dev., 15, 3831–3844, https://doi.org/10.5194/gmd-15-3831-2022, 2022
      In this study, we present a novel formulation to build a dynamical combination of models, the so-called supermodel, which needs to be trained based on data. Previously, we assumed complete and noise-free observations. Here, we move towards a realistic scenario and develop adaptations to the training methods in order to cope with sparse and noisy observations. The results are very promising and shed light on how to apply the method with state of the art general circulation models.
      PubDate: Thu, 12 May 2022 13:53:10 +020
      DOI: 10.5194/gmd-15-3831-2022 2022

       
  • Modeling the high-mercury wet deposition in the southeastern US with
           WRF-GC-Hg v1.0

    • Abstract: Modeling the high-mercury wet deposition in the southeastern US with WRF-GC-Hg v1.0
      Xiaotian Xu, Xu Feng, Haipeng Lin, Peng Zhang, Shaojian Huang, Zhengcheng Song, Yiming Peng, Tzung-May Fu, and Yanxu Zhang
      Geosci. Model Dev., 15, 3845–3859, https://doi.org/10.5194/gmd-15-3845-2022, 2022
      Mercury is one of the most toxic pollutants in the environment, and wet deposition is a major process for atmospheric mercury to enter, causing ecological and human health risks. High-mercury wet deposition in the southeastern US has been a problem for many years. Here we employed a newly developed high-resolution WRF-GC model with the capability to simulate mercury to study this problem. We conclude that deep convection caused enhanced mercury wet deposition in the southeastern US.
      PubDate: Thu, 12 May 2022 13:53:10 +020
      DOI: 10.5194/gmd-15-3845-2022 2022

       
  • Representing chemical history in ozone time-series predictions – a model
           experiment study building on the MLAir (v1.5) deep learning framework

    • Abstract: Representing chemical history in ozone time-series predictions – a model experiment study building on the MLAir (v1.5) deep learning framework
      Felix Kleinert, Lukas Hubert Leufen, Aurelia Lupascu, Tim Butler, and Martin G. Schultz
      Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2022-122,2022
      Preprint under review for GMD (discussion: open, 0 comments)
      We examine the effects of spatially aggregated upstream information as input for a deep learning model forecasting near-surface ozone levels. Using aggregated data from one upstream sector (45°) improves the forecast by ~10 % for four prediction days. Three upstream sectors improve the forecasts by ~14 % on the first two days only. Our results serve as an orientation for other researchers or environmental agencies focusing on pointwise time-series predictions – e.g. due to regulatory purposes.
      PubDate: Wed, 11 May 2022 13:53:10 +020
      DOI: 10.5194/gmd-2022-1222022

       
  • stoPET v1.0: A stochastic potential evapotranspiration generator for
           simulation of climate change impacts

    • Abstract: stoPET v1.0: A stochastic potential evapotranspiration generator for simulation of climate change impacts
      Dagmawi Teklu Asfaw, Michael Bliss Singer, Rafael Rosolem, David MacLeod, Mark Cuthbert, Edisson Quichimbo Miguitama, Manuel F. Rios Gaona, and Katerina Michaelides
      Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2022-128,2022
      Preprint under review for GMD (discussion: open, 1 comment)
      stoPET is a new stochastic potential evapotranspiration (PET) generator for the globe at hourly resolution. Many stochastic weather generators are used to generate stochastic rainfall time series; however, no such model exists for stochastically generating plausible PET time series. As such, stoPET represents a significant methodological advance. stoPET generate many realizations of PET to conduct climate studies related to the water balance, agriculture, water resources, and ecology.
      PubDate: Wed, 11 May 2022 13:53:10 +020
      DOI: 10.5194/gmd-2022-1282022

       
  • GREB-ISM v1.0: A coupled ice sheet model for the Globally Resolved Energy
           Balance model for global simulations on timescales of 100 kyr

    • Abstract: GREB-ISM v1.0: A coupled ice sheet model for the Globally Resolved Energy Balance model for global simulations on timescales of 100 kyr
      Zhiang Xie, Dietmar Dommenget, Felicity S. McCormack, and Andrew N. Mackintosh
      Geosci. Model Dev., 15, 3691–3719, https://doi.org/10.5194/gmd-15-3691-2022, 2022
      Paleoclimate research requires better numerical model tools to explore interactions among the cryosphere, atmosphere, ocean and land surface. To explore those interactions, this study offers a tool, the GREB-ISM, which can be run for 2 million model years within 1 month on a personal computer. A series of experiments show that the GREB-ISM is able to reproduce the modern ice sheet distribution as well as classic climate oscillation features under paleoclimate conditions.
      PubDate: Tue, 10 May 2022 13:53:10 +020
      DOI: 10.5194/gmd-15-3691-2022 2022

       
  • MagmaFOAM-1.0: a modular framework for the simulation of magmatic systems

    • Abstract: MagmaFOAM-1.0: a modular framework for the simulation of magmatic systems
      Federico Brogi, Simone Colucci, Jacopo Matrone, Chiara Paola Montagna, Mattia De' Michieli Vitturi, and Paolo Papale
      Geosci. Model Dev., 15, 3773–3796, https://doi.org/10.5194/gmd-15-3773-2022, 2022
      Computer simulations play a fundamental role in understanding volcanic phenomena. The growing complexity of these simulations requires the development of flexible computational tools that can easily switch between sub-models and solution techniques as well as optimizations. MagmaFOAM is a newly developed library that allows for maximum flexibility for solving multiphase volcanic flows and promotes collaborative work for in-house and community model development, testing, and comparison.
      PubDate: Tue, 10 May 2022 13:53:10 +020
      DOI: 10.5194/gmd-15-3773-2022 2022

       
  • A scalability study of the Ice-sheet and Sea-level System Model (ISSM,
           version 4.18)

    • Abstract: A scalability study of the Ice-sheet and Sea-level System Model (ISSM, version 4.18)
      Yannic Fischler, Martin Rückamp, Christian Bischof, Vadym Aizinger, Mathieu Morlighem, and Angelika Humbert
      Geosci. Model Dev., 15, 3753–3771, https://doi.org/10.5194/gmd-15-3753-2022, 2022
      Ice sheet models are used to simulate the changes of ice sheets in future but are currently often run in coarse resolution and/or with neglecting important physics to make them affordable in terms of computational costs. We conducted a study simulating the Greenland Ice Sheet in high resolution and adequate physics to test where the ISSM ice sheet code is using most time and what could be done to improve its performance for future computer architectures that allow massive parallel computing.
      PubDate: Tue, 10 May 2022 13:53:10 +020
      DOI: 10.5194/gmd-15-3753-2022 2022

       
  • MPAS-Seaice (v1.0.0): sea-ice dynamics on unstructured Voronoi meshes

    • Abstract: MPAS-Seaice (v1.0.0): sea-ice dynamics on unstructured Voronoi meshes
      Adrian K. Turner, William H. Lipscomb, Elizabeth C. Hunke, Douglas W. Jacobsen​​​​​​​, Nicole Jeffery, Darren Engwirda, Todd D. Ringler, and Jonathan D. Wolfe
      Geosci. Model Dev., 15, 3721–3751, https://doi.org/10.5194/gmd-15-3721-2022, 2022
      We present the dynamical core of the MPAS-Seaice model, which uses a mesh consisting of a Voronoi tessellation with polygonal cells. Such a mesh allows variable mesh resolution in different parts of the domain and the focusing of computational resources in regions of interest. We describe the velocity solver and tracer transport schemes used and examine errors generated by the model in both idealized and realistic test cases and examine the computational efficiency of the model.
      PubDate: Tue, 10 May 2022 13:53:10 +020
      DOI: 10.5194/gmd-15-3721-2022 2022

       
  • Development of a deep neural network for predicting 6 h average PM2.5
           concentrations up to 2 subsequent days using various training data

    • Abstract: Development of a deep neural network for predicting 6 h average PM2.5 concentrations up to 2 subsequent days using various training data
      Jeong-Beom Lee, Jae-Bum Lee, Youn-Seo Koo, Hee-Yong Kwon, Min-Hyeok Choi, Hyun-Ju Park, and Dae-Gyun Lee
      Geosci. Model Dev., 15, 3797–3813, https://doi.org/10.5194/gmd-15-3797-2022, 2022
      The predication of PM2.5 has been carried out using a numerical air quality model in South Korea. Despite recent progress of numerical air quality models, accurate prediction of PM2.5 is still challenging. In this study, we developed a data-based model using a deep neural network (DNN) to overcome the limitations of numerical air quality models. The results showed that the DNN model outperformed the CMAQ when it was trained by using observation and forecasting data from the numerical models.
      PubDate: Tue, 10 May 2022 13:53:10 +020
      DOI: 10.5194/gmd-15-3797-2022 2022

       
  • Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for
           probabilistic inversions of implicit and kinematic geological models

    • Abstract: Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models
      Richard Scalzo, Mark Lindsay, Mark Jessell, Guillaume Pirot, Jeremie Giraud, Edward Cripps, and Sally Cripps
      Geosci. Model Dev., 15, 3641–3662, https://doi.org/10.5194/gmd-15-3641-2022, 2022
      This paper addresses numerical challenges in reasoning about geological models constrained by sensor data, especially models that describe the history of an area in terms of a sequence of events. Our method ensures that small changes in simulated geological features, such as the position of a boundary between two rock layers, do not result in unrealistically large changes to resulting sensor measurements, as occur presently using several popular modeling packages.
      PubDate: Mon, 09 May 2022 13:53:10 +020
      DOI: 10.5194/gmd-15-3641-2022 2022

       
  • Chemistry Across Multiple Phases (CAMP) version 1.0: an integrated
           multiphase chemistry model

    • Abstract: Chemistry Across Multiple Phases (CAMP) version 1.0: an integrated multiphase chemistry model
      Matthew L. Dawson, Christian Guzman, Jeffrey H. Curtis, Mario Acosta, Shupeng Zhu, Donald Dabdub, Andrew Conley, Matthew West, Nicole Riemer, and Oriol Jorba
      Geosci. Model Dev., 15, 3663–3689, https://doi.org/10.5194/gmd-15-3663-2022, 2022
      Progress in identifying complex, mixed-phase physicochemical processes has resulted in an advanced understanding of the evolution of atmospheric systems but has also introduced a level of complexity that few atmospheric models were designed to handle. We present a flexible treatment for multiphase chemical processes for models of diverse scale, from box up to global models. This enables users to build a customized multiphase mechanism that is accessible to a much wider community.
      PubDate: Mon, 09 May 2022 13:53:10 +020
      DOI: 10.5194/gmd-15-3663-2022 2022

       
  • Explicitly modelling microtopography in permafrost landscapes in a land
           surface model (JULES vn5.4_microtopography)

    • Abstract: Explicitly modelling microtopography in permafrost landscapes in a land surface model (JULES vn5.4_microtopography)
      Noah D. Smith, Eleanor J. Burke, Kjetil Schanke Aas, Inge H. J. Althuizen, Julia Boike, Casper Tai Christiansen, Bernd Etzelmüller, Thomas Friborg, Hanna Lee, Heather Rumbold, Rachael H. Turton, Sebastian Westermann, and Sarah E. Chadburn
      Geosci. Model Dev., 15, 3603–3639, https://doi.org/10.5194/gmd-15-3603-2022, 2022
      The Arctic has large areas of small mounds that are caused by ice lifting up the soil. Snow blown by wind gathers in hollows next to these mounds, insulating them in winter. The hollows tend to be wetter, and thus the soil absorbs more heat in summer. The warm wet soil in the hollows decomposes, releasing methane. We have made a model of this, and we have tested how it behaves and whether it looks like sites in Scandinavia and Siberia. Sometimes we get more methane than a model without mounds.
      PubDate: Fri, 06 May 2022 14:28:31 +020
      DOI: 10.5194/gmd-15-3603-2022 2022

       
  • Nested leave-two-out cross-validation for the optimal crop yield model
           selection

    • Abstract: Nested leave-two-out cross-validation for the optimal crop yield model selection
      Thi Lan Anh Dinh and Filipe Aires
      Geosci. Model Dev., 15, 3519–3535, https://doi.org/10.5194/gmd-15-3519-2022, 2022
      We proposed the leave-two-out method (i.e. one particular implementation of the nested cross-validation) to determine the optimal statistical crop model (using the validation dataset) and estimate its true generalization ability (using the testing dataset). This approach is applied to two examples (robusta coffee in Cu M'gar and grain maize in France). The results suggested that the simple models are more suitable in crop modelling where a limited number of samples is available.
      PubDate: Thu, 05 May 2022 14:28:31 +020
      DOI: 10.5194/gmd-15-3519-2022 2022

       
  • A derivative-free optimisation method for global ocean biogeochemical
           models

    • Abstract: A derivative-free optimisation method for global ocean biogeochemical models
      Sophy Oliver, Coralia Cartis, Iris Kriest, Simon F. B Tett, and Samar Khatiwala
      Geosci. Model Dev., 15, 3537–3554, https://doi.org/10.5194/gmd-15-3537-2022, 2022
      Global ocean biogeochemical models are used within Earth system models which are used to predict future climate change. However, these are very computationally expensive to run and therefore are rarely routinely improved or calibrated to real oceanic observations. Here we apply a new, fast optimisation algorithm to one such model and show that it can calibrate the model much faster than previously managed, therefore encouraging further ocean biogeochemical model improvements.
      PubDate: Thu, 05 May 2022 14:28:31 +020
      DOI: 10.5194/gmd-15-3537-2022 2022

       
  • An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0):
           development and application

    • Abstract: An aerosol vertical data assimilation system (NAQPMS-PDAF v1.0): development and application
      Haibo Wang, Ting Yang, Zifa Wang, Jianjun Li, Wenxuan Chai, Guigang Tang, Lei Kong, and Xueshun Chen
      Geosci. Model Dev., 15, 3555–3585, https://doi.org/10.5194/gmd-15-3555-2022, 2022
      In this paper, we develop an online data coupled assimilation system (NAQPMS-PDAF) with the Eulerian atmospheric chemistry-transport model. NAQPMS-PDAF allows efficient use of large computational resources. The application and performance of the system are investigated by assimilating 1 month of vertical aerosol observations. The results show that NAQPMS-PDAF can significantly improve the performance of aerosol vertical structure simulation and reduce the uncertainty to a large extent.
      PubDate: Thu, 05 May 2022 14:28:31 +020
      DOI: 10.5194/gmd-15-3555-2022 2022

       
  • Earth system modeling of mercury using CESM2 – Part 1: Atmospheric
           model CAM6-Chem/Hg v1.0

    • Abstract: Earth system modeling of mercury using CESM2 – Part 1: Atmospheric model CAM6-Chem/Hg v1.0
      Peng Zhang and Yanxu Zhang
      Geosci. Model Dev., 15, 3587–3601, https://doi.org/10.5194/gmd-15-3587-2022, 2022
      Mercury is a global pollutant that can be transported over long distance through the atmosphere. We develop a new online global model for atmospheric mercury. The model reproduces the observed global atmospheric mercury concentrations and deposition distributions by simulating the emissions, transport, and physicochemical processes of atmospheric mercury. And we find that the seasonal variations of atmospheric Hg are the result of multiple processes and have obvious regional characteristics.
      PubDate: Thu, 05 May 2022 14:28:31 +020
      DOI: 10.5194/gmd-15-3587-2022 2022

       
  • DeepISMNet: Three-Dimensional Implicit Structural Modeling with
           Convolutional Neural Network

    • Abstract: DeepISMNet: Three-Dimensional Implicit Structural Modeling with Convolutional Neural Network
      Zhengfa Bi, Xinming Wu, Zhaoliang Li, Dekuan Chang, and Xueshan Yong
      Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2022-117,2022
      Preprint under review for GMD (discussion: open, 0 comments)
      We present a learning-based implicit structural modeling method to predict a geologically valid and structurally consistent model from spare structural data that are associated with incomplete horizons and faults. Trained with numerous and realistic synthetic data, our network is able to build geologically reasonable models in field examples without the need of solving large systems of equations, opening new opportunities for improving the efficiency and accuracy of geologic modeling.
      PubDate: Thu, 05 May 2022 14:28:31 +020
      DOI: 10.5194/gmd-2022-1172022

       
  • The AirGAM 2022r1 air quality trend and prediction model

    • Abstract: The AirGAM 2022r1 air quality trend and prediction model
      Sam-Erik Walker, Sverre Solberg, Philipp Schneider, and Cristina Guerreiro
      Geosci. Model Dev. Discuss., https//doi.org/10.5194/gmd-2022-70,2022
      Preprint under review for GMD (discussion: open, 0 comments)
      We have developed a statistical model for estimating trends in daily air quality observations of NO2, O3, PM10 and PM2.5, adjusting for trends and short-term variations in meteorology. The model is general and may also be used for prediction purposes, including forecasting. It has been applied in a recent comprehensive EEA study in Europe. Significant declines are shown for the pollutants from 2005 to 2019, mainly due to reductions in emissions not attributable to changes in meteorology.
      PubDate: Thu, 05 May 2022 14:28:31 +020
      DOI: 10.5194/gmd-2022-702022

       
 
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