Scheduled Special Issues
The community version of the Weather Research and Forecasting Model as it is coupled with Chemistry (WRF-Chem) (GMD/ACP Inter-Journal SI)
The Weather Research and Forecast community modelling system coupled with Chemistry (WRF-Chem) provides the capability to simulate and forecast weather, trace gases, and aerosols from hemispheric to urban scales. WRF-Chem is a community model. WRF-Chem is an online modelling system which includes the treatment of the aerosol direct and indirect effect. It incorporates many choices for gas phase chemistry and aerosols with degrees of complexity that are suitable for forecasting and research applications. Due to its versatility WRF-Chem is attracting a large user and developer community world-wide. The present time-unlimited Special Issue hosts scientific technical documentation and evaluation manuscripts concerned with the community version of WRF-Chem.
GA/GL: Decription of the Met Office Unified Model Global Atmosphere and JULES Global Land configurations
This special issue groups together documentation papers for successive releases of the Met Office Unified Model (UM) Global Atmosphere (GA) and JULES Global Land (GL) configurations. GA and GL are science configurations of the UM and JULES developed for use across weather prediction and climate research timescales. Each paper presents a scientific description of the latest configuration, a fuller description of incremental changes since the previous configuration and a brief summary of their performance.
Nucleus for European Modelling of the Ocean - NEMO
NEMO (Nucleus for European Modelling of the Ocean) is a state-of-the-art modelling framework for oceanographic research, operational oceanography seasonal forecast and climate studies. The NEMO components are NEMO-OPA (the "blue" ocean, modelling the ocean dynamics and solving the primitive equations); NEMO-LIM (the "white ocean" for modelling sea-ice), and NEMO-TOP (the "green ocean" for modelling biogeochemistry). NEMO also includes grid refinement software (AGRIF) and an assimilation component (linear-tangent NEMO-TAM, Observational operators NEMO-OBS, and increment NEMO-ASM). The "blue ocean" component is fundamental to all users. NEMO can also be interfaced to a number of other components such as atmosphere models or alternative other models of sea-ice or biogeochemistry, to enable Earth system modelling.
This Special Issue aims to collect technical and scientific manuscripts dealing with evaluation of model skill and performance as well as development of NEMO components. Submitted manuscripts can cover a wide variety of topics, including process studies, new parameterizations, implementation of new model features and new NEMO configurations. The main scope is to collect relevant and state of the art manuscripts to provide the NEMO users with a single portal to search, discover and understand about the NEMO modelling framework potential and evolution and submit their contributions.
Haze-fog forecasts and near real time (NRT) data application (ACP/GMD Inter-Journal SI)
Monitoring atmospheric composition and climate, research in support of the Copernicus/GMES atmospheric service (ACP/AMT/ESSD/GMD Inter-Journal SI)
With the acute societal concerns about air quality, climate change and their effects on health and ecosystems, there is an increasing need for comprehensive, reliable and fast information services on the atmospheric environment. This is also of importance for a range of policy-relevant applications at different scales, from international treaty verification to urban planning for instance. Succeeding to GEMS (Global and regional Earth-system Monitoring using Space and in-situ data) and MACC (Monitoring Atmospheric Composition and Climate), MACC-II* (MACC- Interim Implementation) is the third in a series of projects funded since 2005 through the European Union's Seventh Framework programme to build up the atmospheric service component of the Global Monitoring for Environment and Security (GMES) / Copernicus European programme. MACC-II combines the expertise of its 36 partner institutes from 13 European countries to bridge the gap between the meteorological and environmental communities engaged in research and operational service provision. Using the extensive experience of both communities, MACC-II provides information on atmospheric composition using satellite observations, ground-based observations, and state-of-the-art numerical models (http://www.copernicus-atmosphere.eu). MACC-II not only monitors atmospheric composition over time, but also provides forecasts of air quality, dust storms, fire emissions and solar/UV radiation for a few days ahead both globally and in more detail for Europe. Furthermore, MACC-II supports studies of pollution events and possible responses to mitigate their effects, annual assessments of air quality, and the monitoring of greenhouse gases and their sources and sinks at the Earth's surface. This Special Issue focuses on the world-class research aspects that underpin the continuous development, evaluation and delivery of the GMES/Copernicus services for atmospheric composition.
*: The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7 THEME [SPA.2011.1.5-02]) under grant agreement n.283576.
The iLOVECLIM earth system model
iLOVECLIM is an intermediate complexity fully coupled climate earth system model that aims at computation and understanding of the climate system on millennial timescale. It is a code fork from the LOVECLIM climate model version 1.2. From its forerunner, iLOVECLIM retains only the physical climate components (atmosphere – ocean – terrestrial vegetation modules). It is developed further to progressively include the components necessary for multi-millenia palaeoclimate and future climate experiments. As such, iLOVECLIM is a tool designed to enhance the integration of model simulations and (palaeo-)data, with an emphasis on the simulation of isotopic tracers throughout all components of the climate system, as indicated by the i prefix. The present, time unlimited, Special Issue hosts the technical documentation of the current version of iLOVECLIM as well as model evaluation manuscripts.
Isaac Newton Institute programme on multiscale numerics for the atmosphere and ocean
The Norwegian Earth System Model: NorESM; basic development, validation, scientific analyses, and climate scenarios
The Norwegian Earth System Model (NorESM) is a global, coupled model system for the physical climate system, which can be run with various degrees of interactions with bio-geo-chemical processes in the earth system. NorESM is developed as a nationally coordinated effort in Norway, but important parts of the model code are imported from the Community Climate System Model (CCSM) and Community Earth System Model (CESM) projects operated at NCAR on behalf of UCAR in USA.
The NorESM publications in this Special Issue address the first family of NorESM versions which has delivered results to CMIP5. They are based on public releases of CCSM4 (April 1st 2010) and CESM1 (1 July 2010). The full core version includes own developed code for chemistry-aerosol-cloud-radiation interactions in the atmospheric module (CAM4-Oslo); an isopycnic coordinate ocean model developed in Bergen and originating from the Miami Isopycnic Coordinate Ocean Model MICOM); the HAMburg Ocean Carbon Cycle (HAMOCC) model developed at the Max-Plank-Institute for Meteorology, Hamburg and adapted to the isopycnic ocean model framework. Papers developed on the basis of the full core version (NorESM1-ME) or on selected sub-versions (e.g. NorESM1-M, NorESM-L) are welcome in this Special Issue.
Community software to support the delivery of CMIP5
CMIP5 represents the most ambitious and computer-intensive model inter-comparison project ever attempted. Integrating a new generation of Earth system models and sharing the model results with a broad community has brought with it many significant technical challenges, along with new community-wide efforts to provide the necessary software infrastructure. This special issue will focus on the software that supports the scientific enterprise for CMIP5, including: couplers and coupling frameworks for Earth system models; the Common Information Model and Controlled Vocabulary for describing models and data; The development of the Earth System Grid Federation; the development of new portals for providing data access to different end-user communities; the scholarly publishing of datasets, and studies of the software development and testing processes used for the CMIP5 models. We especially welcome papers that offer comparative studies of the software approaches taken by different groups, and lessons learnt from community efforts to create shareable software components and frameworks.
Climate model simulations of the last millennium
The climate record of the last millennium holds much promise for identifying the links between forcings and responses at the global, hemispheric and regional scale. The specifications for the Paleoclimate Model Intercomparison Project Phase III (PMIP3) and the Coupled Model Intercomparison Project Phase V (CMIP5) include controlled experiments for the period 850 to 1850 CE. The implementation of those experiments, the collation and development of the climate drivers over this period, and the assessment of the model responses are the focus of this special issue of Geoscientific Model Development.
The CSIRO Mk3L climate system model
The CSIRO Mk3L climate system model is a computationally-efficient coupled general circulation model, designed primarily for the study of climate variability and change on millennial timescales. The model distribution is freely available to the research community. This Special Issue allows the history and evolution of Mk3L to be comprehensively documented within a single issue of a journal. Papers are welcome which describe and evaluate components of the model, and which describe and evaluate subsequent enhancements to the modelling system. The issue is also intended for papers which document specific experiments, particularly those which contribute towards Model Intercomparison Projects.
The externalised surface model SURFEX
PlioMIP: experimental design, mid-Pliocene boundary conditions and implementation
In 2008 the temporal focus of the Palaeoclimate Modelling Intercomparison Project was expanded to include a model intercomparison for the mid-Pliocene warm period (ca. 3 Ma BP). This project is referred to as PlioMIP (Pliocene Model Intercomparison Project). Two experiments have been agreed upon and comprise phase 1 of the PlioMIP. The first (Experiment 1) will be performed with atmosphere-only GCMs. The second (Experiment 2) will utilise fully coupled ocean-atmosphere GCMs. In previous PMIP-style studies it has often been challenging to disentangle the effects of differences in model parametrisations and physics from differences in the methodology employed to implement the palaeo-boundary conditions. This special issue of Geoscientific Model Development provides a means for each participating group within PlioMIP to provide detailed information on how Pliocene boundary conditions were included within their models. This will help facilitate the identification of discrepancies between models at the intercomparison phase. The issue also provides a means for each group to provide basic climatology's from each PlioMIP experiment, ensuring that a minimum level of output is readily available for the intercomparison phase. Finally the issue includes two papers that describe in detail the experimental design and boundary conditions used for both PlioMIP Experiments 1 and 2.
The FAMOUS climate model
FAMOUS is climate model based on the widely-used "HadCM3" atmosphere-ocean general circulation code, a version of the UK Met Office Unified Model. Run at a lower resolution than HadCM3 its computational requirements make it suitable for large ensembles and millennial-scale climate simulations. This ongoing Special Issue collects technical documentation and evaluations of the model climatology as FAMOUS is developed and coupled to models of other Earth system components.