Pincus et al., 2009 - Google Patents
Computational cost and accuracy in calculating three-dimensional radiative transfer: Results for new implementations of Monte Carlo and SHDOMPincus et al., 2009
View HTML- Document ID
- 14242021055066494358
- Author
- Pincus R
- Evans K
- Publication year
- Publication venue
- Journal of the Atmospheric Sciences
External Links
Snippet
This paper examines the tradeoffs between computational cost and accuracy for two new state-of-the-art codes for computing three-dimensional radiative transfer: a community Monte Carlo model and a parallel implementation of the Spherical Harmonics Discrete Ordinate …
- 230000004907 flux 0 abstract description 101
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/50—Lighting effects
- G06T15/506—Illumination models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/06—Ray-tracing
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Pincus et al. | Computational cost and accuracy in calculating three-dimensional radiative transfer: Results for new implementations of Monte Carlo and SHDOM | |
Villefranque et al. | A path‐tracing Monte Carlo library for 3‐d radiative transfer in highly resolved cloudy atmospheres | |
Cronin et al. | Clouds, circulation, and climate sensitivity in a radiative‐convective equilibrium channel model | |
Cahalan et al. | The I3RC: Bringing together the most advanced radiative transfer tools for cloudy atmospheres | |
Mayer | Radiative transfer in the cloudy atmosphere | |
Lin et al. | A near‐field tool for simulating the upstream influence of atmospheric observations: The Stochastic Time‐Inverted Lagrangian Transport (STILT) model | |
Iwabuchi | Efficient Monte Carlo methods for radiative transfer modeling | |
North et al. | A Monte Carlo radiative transfer model of satellite waveform LiDAR | |
Lee et al. | Parameterization of solar fluxes over mountain surfaces for application to climate models | |
Helbig et al. | Radiosity approach for the shortwave surface radiation balance in complex terrain | |
Shi et al. | Large‐scale character of an atmosphere in rotating radiative‐convective equilibrium | |
Aides et al. | Multi sky-view 3D aerosol distribution recovery | |
Kato et al. | Estimate of satellite‐derived cloud optical thickness and effective radius errors and their effect on computed domain‐averaged irradiances | |
Suter et al. | uDALES 1.0. 0: a large-eddy-simulation model for urban environments | |
Sentić et al. | Diagnosing DYNAMO convection with weak temperature gradient simulations | |
Ghonima et al. | Evaluation of WRF SCM simulations of stratocumulus‐topped marine and coastal boundary layers and improvements to turbulence and entrainment parameterizations | |
Loeub et al. | Monotonicity prior for cloud tomography | |
Villefranque et al. | Process‐based climate model development harnessing machine learning: III. The representation of cumulus geometry and their 3D radiative effects | |
Xu et al. | Accurate retrieval of asymmetry parameter for large and complex ice crystals from in‐situ polar nephelometer measurements | |
Reeves Eyre et al. | ocean surface flux algorithm effects on Earth system model energy and water cycles | |
Hadzhiyska et al. | Planting a Lyman alpha forest on AbacusSummit | |
Yamazaki et al. | Obtaining diverse behaviors in a climate model without the use of flux adjustments | |
Zinner et al. | Determination of three‐dimensional cloud structures from high‐resolution radiance data | |
Várnai et al. | A method for analyzing how various parts of clouds influence each other's brightness | |
Cheinet et al. | A simple formulation for the eddy‐diffusivity parameterization of cloud‐topped boundary layers |