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Showing 1401 to 1450 of 7523 works

A model for marine sedimentary carbonate diagenesis and paleoclimate proxy signal tracking: IMP v1.0

Abstract. The preservation of calcium carbonate in marine sediments is central to controlling the alkalinity balance of the ocean and, hence, the ocean–atmosphere partitioning of …

Halogen chemistry in volcanic plumes: a 1D framework based on MOCAGE 1D (version R1.18.1) preparing 3D global chemistry…

Abstract. HBr emissions from volcanoes lead rapidly to the formation of BrO within volcanic plumes and have an impact on tropospheric chemistry, at least at the local and regional…

Discrete <i>k</i> -nearest neighbor resampling for simulating multisite precipi…

Abstract. Stochastic weather simulation models are commonly employed in water resources management, agricultural applications, forest management, transportation management, and re…

A 4D-Var inversion system based on the icosahedral grid model (NICAM-TM 4D-Var v1.0) – Part 1: Offline forward and adjo…

Abstract. A four-dimensional variational (4D-Var) method is a popular algorithm for inverting atmospheric greenhouse gas (GHG) measurements. In order to meet the computationally i…

Added value of EURO-CORDEX high-resolution downscaling over the Iberian Peninsula revisited – Part 1: Precipitation

Abstract. Over the years, higher-resolution regional climate model simulations have emerged owing to the large increase in computational resources. The 12 km resolution from the C…

Analytical solutions for mantle flow in cylindrical and spherical shells

Abstract. Computational models of mantle convection must accurately represent curved boundaries and the associated boundary conditions of a 3-D spherical shell, bounded by Earth's…

An offline framework for high-dimensional ensemble Kalman filters to reduce the time to solution

Abstract. The high computational resources and the time-consuming IO (input/output) are major issues in offline ensemble-based high-dimensional data assimilation systems. Bearing …

Sensitivity of the tropical Atlantic to vertical mixing in two ocean models (ICON-O v2.6.6 and FESOM v2.5)

Abstract. Ocean general circulation models still have large upper-ocean biases, including in tropical sea surface temperature, that are possibly connected to the representation of…

Automatic tuning of the Community Atmospheric Model (CAM5) by using short-term hindcasts with an improved downhill simp…

Abstract. Traditional trial-and-error tuning of uncertain parameters in global atmospheric general circulation models (GCMs) is time consuming and subjective. This study explores …

Learning from conceptual models – a study of the emergence of cooperation towards resource protection in a social–ecolo…

Abstract. Engaging ecological resource users in intervention to protect resources is challenging for governments due to the self-interest of users and uncertainty about interventi…

The sea ice component of GC5: coupling SI <sup>3</sup> to HadGEM3 using conduct…

Abstract. We present an overview of the UK's Global Sea Ice model configuration version 9 (GSI9), the sea ice component of the latest Met Office Global Coupled model, GC5. The GC5…

Robust Ecosystem Demography (RED version 1.0): a parsimonious approach to modelling vegetation dynamics in Earth system…

Abstract. A significant proportion of the uncertainty in climate projections arises from uncertainty in the representation of land carbon uptake. Dynamic global vegetation models …

Quantifying the impact of SST feedback frequency on Madden–Julian oscillation simulations

Abstract. This study uses the Community Atmosphere Model 5.3 coupled to a 1-D ocean model to investigate the effects of intraseasonal sea surface temperature (SST) feedback freque…

Deep learning models for generation of precipitation maps based on numerical weather prediction

Abstract. Numerical weather prediction (NWP) models are atmospheric simulations that imitate the dynamics of the atmosphere and provide high-quality forecasts. One of the most sig…

Earth system model parameter adjustment using a Green's functions approach

Abstract. We demonstrate the practicality and effectiveness of using a Green's functions estimation approach for adjusting uncertain parameters in an Earth system model (ESM). Thi…

HIRM v1.0: a hybrid impulse response model for climate modeling and uncertainty analyses

Abstract. Simple climate models (SCMs) are frequently used in research and decision-making communities because of their flexibility, tractability, and low computational cost. SCMs…

Accounting for forest age in the tile-based dynamic global vegetation model JSBACH4 (4.20p7; git feature/forests) – a l…

Abstract. Natural and anthropogenic disturbances, in particular forest management, affect forest age structures all around the globe. Forest age structures in turn influence key l…

OLYMPUS v1.0: development of an integrated air pollutant and GHG urban emissions model – methodology and calibration ov…

Abstract. Air pollutants and greenhouse gases have many effects on health, the economy, urban climate and atmospheric environment. At the city level, the transport and heating sec…

Optimal numerical solvers for transient simulations of ice flow using the Ice Sheet System Model (ISSM versions 4.2.5 a…

Abstract. Identifying fast and robust numerical solvers is a critical issue that needs to be addressed in order to improve projections of polar ice sheets evolving in a changing c…

Including an ocean carbon cycle model into <i>i</i> LOVECLIM (v1.0)

Abstract. The atmospheric carbon dioxide concentration plays a crucial role in the radiative balance and as such has a strong influence on the evolution of climate. Because of the…

Implementation of an optimal stomatal conductance scheme in the Australian Community Climate Earth Systems Simulator (A…

Abstract. We implement a new stomatal conductance scheme, based on the optimality approach, within the Community Atmosphere Biosphere Land Exchange (CABLEv2.0.1) land surface mode…

SiSeRHMap v1.0: a simulator for mapped seismic response using a hybrid model

Abstract. The SiSeRHMap (simulator for mapped seismic response using a hybrid model) is a computerized methodology capable of elaborating prediction maps of seismic response in te…

The 1-way on-line coupled atmospheric chemistry model system MECO(n) – Part 3: Meteorological evaluation of the on-line…

Abstract. Three detailed meteorological case studies are conducted with the global and regional atmospheric chemistry model system ECHAM5/MESSy(→COSMO/MESSy)n, shortly named MECO(…

Evaluation of North Eurasian snow-off dates in the ECHAM5.4 atmospheric general circulation model

Abstract. The timing of springtime end of snowmelt (snow-off date) in northern Eurasia in version 5.4 of the ECHAM5 atmospheric general circulation model (GCM) is evaluated throug…

SELF v1.0: a minimal physical model for predicting time of freeze-up in lakes

Abstract. Predicting the freezing time in lakes is achieved by means of complex mechanistic models or by simplified statistical regressions considering integral quantities. Here, …

MLAir (v1.0) – a tool to enable fast and flexible machine learning on air data time series

Abstract. With MLAir (Machine Learning on Air data) we created a software environment that simplifies and accelerates the exploration of new machine learning (ML) models, specific…

Using observed river flow data to improve the hydrological functioning of the JULES land surface model (vn4.3) used for…

Abstract. Land surface models (LSMs) represent terrestrial hydrology in weather and climate modelling operational systems and research studies. We aim to improve hydrological perf…

Seasonal cycles of the carbon export flux in the ocean: insights from the SISSOMA mechanistic model

Abstract. This study aims to investigate the seasonal cycle of carbon export flux in the ocean using the SISSOMA modeling framework. SISSOMA uses a 2-dimensional state space (size…

The Subgrid Importance Latin Hypercube Sampler (SILHS): a multivariate subcolumn generator

Abstract. Coarse-resolution climate and weather forecast models cannot accurately parameterize small-scale, nonlinear processes without accounting for subgrid-scale variability. T…

The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6

Abstract. The Earth system model EC-Earth3 for contributions to CMIP6 is documented here, with its flexible coupling framework, major model configurations, a methodology for ensur…

Multi-scale modeling of urban air pollution: development and application of a Street-in-Grid model (v1.0) by coupling M…

Abstract. A new multi-scale model of urban air pollution is presented. This model combines a chemistry–transport model (CTM) that includes a comprehensive treatment of atmospheric…

Assessing Responses and Impacts of Solar climate intervention on the Earth system with stratospheric aerosol injection …

Abstract. Solar climate intervention using stratospheric aerosol injection is a proposed method of reducing global mean temperatures to reduce the worst consequences of climate ch…

Parameterization toolbox for a physical–biogeochemical model compatible with FABM – a case study: the coupled 1D GOTM–E…

Abstract. Mathematical models are an invaluable tool for understanding marine ecosystems. The performance of these models is often highly dependent on their parameters. Traditiona…

PLASIM–GENIE v1.0: a new intermediate complexity AOGCM

Abstract. We describe the development, tuning and climate of Planet Simulator (PLASIM)–Grid-ENabled Integrated Earth system model (GENIE), a new intermediate complexity Atmosphere…

Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1.0)

Abstract. Geological uncertainty quantification is critical to subsurface modeling and prediction, such as groundwater, oil or gas, and geothermal resources, and needs to be conti…

SciKit-GStat 1.0: a SciPy-flavored geostatistical variogram estimation toolbox written in Python

Abstract. Geostatistical methods are widely used in almost all geoscientific disciplines, i.e., for interpolation, rescaling, data assimilation or modeling. At its core, geostatis…

CompLaB v1.0: a scalable pore-scale model for flow, biogeochemistry, microbial metabolism, and biofilm dynamics

Abstract. Microbial activity and chemical reactions in porous media depend on the local conditions at the pore scale and can involve complex feedback with fluid flow and mass tran…

Soil Cycles of Elements simulator for Predicting TERrestrial regulation of greenhouse gases: SCEPTER v0.9

Abstract. The regulation of anthropogenic carbon dioxide (CO2) is an urgent issue – continuously increasing atmospheric CO2 from burning fossil fuels is leading to significant war…

Simulation of extreme heat waves with empirical importance sampling

Abstract. Simulating ensembles of extreme events is a necessary task to evaluate their probability distribution and analyze their meteorological properties. Algorithms of importan…

TempestExtremes v2.1: a community framework for feature detection, tracking, and analysis in large datasets

Abstract. TempestExtremes (TE) is a multifaceted framework for feature detection, tracking, and scientific analysis of regional or global Earth system datasets on either rectiline…

GPTCast: a weather language model for precipitation nowcasting

Abstract. This work introduces GPTCast, a generative deep learning method for ensemble nowcasting of radar-based precipitation, inspired by advancements in large language models (…

A global eddying hindcast ocean simulation with OFES2

Abstract. A quasi-global eddying ocean hindcast simulation using a new version of our model, called OFES2 (Ocean General Circulation Model for the Earth Simulator version 2), was …

Sensitivity of atmospheric rivers to aerosol treatment in regional climate simulations: insights from the AIRA identifi…

Abstract. This study analyzed the sensitivity of atmospheric rivers (ARs) to aerosol treatment in regional climate simulations. Three experiments covering the Iberian Peninsula fo…

The Louvain-La-Neuve sea ice model LIM3.6: global and regional capabilities

Abstract. The new 3.6 version of the Louvain-la-Neuve sea ice model (LIM) is presented, as integrated in the most recent stable release of Nucleus for European Modelling of the Oc…

Impacts of updated reaction kinetics on the global GEOS-Chem simulation of atmospheric chemistry

Abstract. We updated the chemical mechanism of the GEOS-Chem global 3-D model of atmospheric chemistry to include new recommendations from the NASA Jet Propulsion Laboratory (JPL)…

Harmonized Emissions Component (HEMCO) 3.0 as a versatile emissions component for atmospheric models: application in th…

Abstract. Emissions are a central component of atmospheric chemistry models. The Harmonized Emissions Component (HEMCO) is a software component for computing emissions from a user…

Data assimilation for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation I…

Abstract. On 24 September 2021, JEDI-MPAS 1.0.0, a new data assimilation (DA) system for the Model Prediction Across Scales – Atmosphere (MPAS-A) built on the software framework o…

PyCO2SYS v1.8: marine carbonate system calculations in Python

Abstract. Oceanic dissolved inorganic carbon (TC) is the largest pool of carbon that substantially interacts with the atmosphere on human timescales. Oceanic TC is increasing thro…

EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6

Abstract. This paper documents the global climate model EC-Earth3-AerChem, one of the members of the EC-Earth3 family of models participating in the Coupled Model Intercomparison …

Intercomparisons of Tracker v1.1 and four other ocean particle-tracking software packages in the Regional Ocean Modeli…

Abstract. Particle tracking is widely utilized to study transport features in a range of physical, chemical, and biological processes in oceanography. In this study, a new offline…

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