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Showing 24201 to 24250 of 59105 works

The bulk parameterizations of turbulent air–sea fluxes in NEMO4: the origin of sea surface temperature differences in a…

Abstract. Wind stress and turbulent heat fluxes are the major driving forces that modify the ocean dynamics and thermodynamics. In the Nucleus for European Modelling of the Ocean …

A nonhydrostatic oceanic regional model, ORCTM v1, for internal solitary wave simulation

Abstract. The Oceanic Regional Circulation and Tide Model (ORCTM), including a nonhydrostatic dynamics module which can numerically reproduce internal solitary wave (ISW) dynamics…

Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature respon…

Abstract. Reduced-complexity climate models (RCMs) are critical in the policy and decision making space, and are directly used within multiple Intergovernmental Panel on Climate C…

A General Lake Model (GLM 3.0) for linking with high-frequency sensor data from the Global Lake Ecological Observatory …

Abstract. The General Lake Model (GLM) is a one-dimensional open-source code designed to simulate the hydrodynamics of lakes, reservoirs, and wetlands. GLM was developed to suppor…

Modelling turbulent vertical mixing sensitivity using a 1-D version of NEMO

Abstract. Through two numerical experiments, a 1-D vertical model called NEMO1D was used to investigate physical and numerical turbulent-mixing behaviour. The results show that al…

The Baltic Sea Model Intercomparison Project (BMIP) – a platform for model development, evaluation, and uncertainty ass…

Abstract. While advanced computational capabilities have enabled the development of complex ocean general circulation models (OGCMs) for marginal seas, systematic comparisons of r…

fair-calibrate v1.4.1: calibration, constraining, and validation of the FaIR simple climate model for reliable future c…

Abstract. Simple climate models (also known as emulators) have re-emerged as critical tools for the analysis of climate policy. Emulators are efficient and highly parameterised, w…

Prediction of cloud condensation nuclei activity for organic compounds using functional group contribution methods

Abstract. A wealth of recent laboratory and field experiments demonstrate that organic aerosol composition evolves with time in the atmosphere, leading to changes in the influence…

Simulation of wind and solar energy generation over California with E3SM SCREAM regionally refined models at 3.25 km an…

Abstract. This study presents wind and solar power generation estimates derived from the US Department of Energy’s Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM) Regionally…

Model–data fusion across ecosystems: from multisite optimizations to global simulations

Abstract. This study uses a variational data assimilation framework to simultaneously constrain a global ecosystem model with eddy covariance measurements of daily net ecosystem e…

A machine learning approach for evaluating Southern Ocean cloud radiative biases in a global atmosphere model

Abstract. The evaluation and quantification of Southern Ocean cloud–radiation interactions simulated by climate models are essential in understanding the sources and magnitude of …

An endogenous modelling framework of dietary behavioural change in the fully coupled human-climate FRIDA v2.1 model

Abstract. Integrated assessment models (IAMs) occupy a central role in understanding and assessing the intricate interlinkages within the human-climate system for informing climat…

Performance of MAR (v3.11) in simulating the drifting-snow climate and surface mass balance of Adélie Land, East Antar…

Abstract. Drifting snow, or the wind-driven transport of snow particles originating from clouds and the surface below and above 2 m above ground and their concurrent sublimation, …

FABM-PCLake – linking aquatic ecology with hydrodynamics

Abstract. This study presents FABM-PCLake, a redesigned structure of the PCLake aquatic ecosystem model, which we implemented in the Framework for Aquatic Biogeochemical Models (F…

Accelerating Lagrangian transport simulations on graphics processing units: performance optimizations of Massive-Parall…

Abstract. Lagrangian particle dispersion models are indispensable tools for the study of atmospheric transport processes. However, Lagrangian transport simulations can become nume…

The Met Office Unified Model Global Atmosphere 8.0 and JULES Global Land 9.0 configurations

Abstract. We describe Global Atmosphere 8.0 and Global Land 9.0 (GA8GL9) that are science configurations of the Met Office Unified Model and Joint UK Land Environment Simulator (J…

Construction of the SILAM Eulerian atmospheric dispersion model based on the advection algorithm of Michael Galperin

Abstract. The paper presents the transport module of the System for Integrated modeLling of Atmospheric coMposition SILAM v.5 based on the advection algorithm of Michael Galperin.…

Comparison and evaluation of updates to WRF-Chem (v3.9) biogenic emissions using MEGAN

Abstract. Biogenic volatile organic compounds (BVOCs) emitted from the natural ecosystem are highly reactive and can thus impact air quality and aerosol radiative forcing. BVOC em…

Using wavelet transform and dynamic time warping to identify the limitations of the CNN model as an air quality forecas…

Abstract. As the deep learning algorithm has become a popular data analysis technique, atmospheric scientists should have a balanced perception of its strengths and limitations so…

Assessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of a …

Abstract. The Rapid Refresh Forecast System (RRFS) is currently under development and aims to replace the National Centers for Environmental Prediction (NCEP) operational suite of…

Development and assessment of the physical–biogeochemical ocean regional model in the Northwest Pacific: NPRT v1.0 (ROM…

Abstract. The Northwest Pacific is characterized by the presence of the warm and nutrient-depleted Kuroshio Current and the cold and nutrient-enriched Oyashio Current. In this reg…

At-scale Model Output Statistics in mountain environments (AtsMOS v1.0)

Abstract. This paper introduces the AtsMOS (At-scale Model Output Statistics) workflow, designed to enhance mountain meteorology predictions through the downscaling of coarse nume…

An improved mechanistic model for ammonia volatilization in Earth system models: Flow of Agricultural Nitrogen version …

Abstract. Volatilization of ammonia (NH3) from fertilizers and livestock wastes forms a significant pathway of nitrogen losses in agricultural ecosystems and constitutes the large…

Simulations of aerosol pH in China using WRF-Chem (v4.0): sensitivities of aerosol pH and its temporal variations durin…

Abstract. Aerosol pH is a fundamental property of aerosols in terms of atmospheric chemistry and its impact on air quality, climate, and health. Precise estimation of aerosol pH i…

Modeling sugarcane yield with a process-based model from site to continental scale: uncertainties arising from model st…

Abstract. Agro-land surface models (agro-LSM) have been developed from the integration of specific crop processes into large-scale generic land surface models that allow calculati…

IMOGEN: an intermediate complexity model to evaluate terrestrial impacts of a changing climate

Abstract. We present a computationally efficient modelling system, IMOGEN, designed to undertake global and regional assessment of climate change impacts on the physical and bioge…

Adaptive method of lines for multi-component aerosol condensational growth and CCN activation

Abstract. The process of formation of cloud droplets on an ensemble of aerosol particles is modelled by numerous investigators using the method of lines (MOL). The method involves…

PLUME-MoM 1.0: A new integral model of volcanic plumes based on the method of moments

Abstract. In this paper a new integral mathematical model for volcanic plumes, named PLUME-MoM, is presented. The model describes the steady-state dynamics of a plume in a 3-D coo…

An improved parameterization of tidal mixing for ocean models

Abstract. Two modifications to an existing scheme of tidal mixing are implemented in the coarse resolution ocean component of a global climate model. First, the vertical distribut…

The location of the thermodynamic atmosphere–ice interface in fully coupled models – a case study using JULES and CICE

Abstract. In fully coupled climate models, it is now normal to include a sea ice component with multiple layers, each having their own temperature. When coupling this component to…

On the use of Schwarz–Christoffel conformal mappings to the grid generation for global ocean models

Abstract. In this article we propose two grid generation methods for global ocean general circulation models. Contrary to conventional dipolar or tripolar grids, the proposed meth…

A comprehensive set of benchmark tests for a land surface model of simultaneous fluxes of water and carbon at both the …

Abstract. Evaluating the models we use in prediction is important as it allows us to identify uncertainties in prediction as well as guiding the priorities for model development. …

Forecasts covering one month using a cut-cell model

Abstract. This paper investigates the impact and potential use of the cut-cell vertical discretisation for forecasts covering five days and climate simulations. A first indication…

LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination

Abstract. Estimation of pollutant releases into the atmosphere is an important problem in the environmental sciences. It is typically formalized as an inverse problem using a line…

A robust method for inverse transport modeling of atmospheric emissions using blind outlier detection

Abstract. Emissions of harmful substances into the atmosphere are a serious environmental concern. In order to understand and predict their effects, it is necessary to estimate th…

An aerosol activation metamodel of v1.2.0 of the pyrcel cloud parcel model: development and offline assessment for use …

Abstract. We describe an emulator of a detailed cloud parcel model which has been trained to assess droplet nucleation from a complex, multimodal aerosol size distribution simulat…

An evaluation of the E3SMv1 Arctic ocean and sea-ice regionally refined model

Abstract. The Energy Exascale Earth System Model (E3SM) is a state-of-the-science Earth system model (ESM) with the ability to focus horizontal resolution of its multiple componen…

Developing and optimizing shrub parameters representing sagebrush ( <i>Artemisia</i> …

Abstract. Ecosystem dynamic models are useful for understanding ecosystem characteristics over time and space because of their efficiency over direct field measurements and applic…

Spatio-temporal approach to moving window block kriging of satellite data v1.0

Abstract. Numerous existing satellites observe physical or environmental properties of the Earth system. Many of these satellites provide global-scale observations, but these obse…

A new simplified parameterization of secondary organic aerosol in the Community Earth System Model Version 2 (CESM2; CA…

Abstract. The Community Earth System Model (CESM) community has been providing versatile modeling options, with simple to complex chemistry and aerosol schemes in a single model, …

Evaluating the Atibaia River hydrology using JULES6.1

Abstract. Land surface models such as the Joint UK Land Environment Simulator (JULES) are increasingly used for hydrological assessments because of their state-of-the-art represen…

Spatial filtering in a 6D hybrid-Vlasov scheme to alleviate adaptive mesh refinement artifacts: a case study with Vlasi…

Abstract. Numerical simulation models that are used to investigate the near-Earth space plasma environment require sophisticated methods and algorithms as well as high computation…

How can the First ISLSCP Field Experiment contribute to present-day efforts to evaluate water stress in JULESv5.0?

Abstract. The First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE), Kansas, US, 1987–1989, made important contributions to the understan…

ORCHIDEE-MICT-BIOENERGY: an attempt to represent the production of lignocellulosic crops for bioenergy in a global vege…

Abstract. Bioenergy crop cultivation for lignocellulosic biomass is increasingly important for future climate mitigation, and it is assumed on large scales in integrated assessmen…

Hybrid Lake Model (HyLake) v1.0: unifying deep learning and physical principles for simulating lake-atmosphere interact…

Abstract. Lake-atmosphere interactions play a critical role in Earth systems dynamics. However, accurately modelling key indicators of these interactions remains challenging due t…

On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments

Abstract. Relatively little attention has been given to the impact of discretization error on twin experiments in the stochastic form of the Lorenz-96 equations when the dynamics …

A dynamic approach to three-dimensional radiative transfer in subkilometer-scale numerical weather prediction models: t…

Abstract. The increasing resolution of numerical weather prediction models makes inter-column three-dimensional (3D) radiative transport more and more important. However, 3D radia…

Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 2: assessing aerosols, clouds, and aerosol–…

Abstract. Poor representations of aerosols, clouds, and aerosol–cloud interactions (ACIs) in Earth system models (ESMs) have long been the largest uncertainties in predicting glob…

Modeling lightning observations from space-based platforms (CloudScat.jl 1.0)

Abstract. We describe a computer code that simulates how a satellite observes optical radiation emitted by a lightning flash after it is scattered within an intervening cloud. Our…

Multifidelity Monte Carlo estimation for efficient uncertainty quantification in climate-related modeling

Abstract. Uncertainties in an output of interest that depends on the solution of a complex system (e.g., of partial differential equations with random inputs) are often, if not ne…

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