xmd-sysu Goto Github PK
Type: User
Company: Sun Yat-sen University
Type: User
Company: Sun Yat-sen University
Absorbing aerosol index simulator based on radiative transfer model
Aerosol Optical Depth Comparison Tool
Aerosol Optical Depth Statistical Analysis
Quantifying aerosol presence and composition over Earth's ice sheets and glaciers - mapping anthropogenic and natural aerosol patters and estimating changes over time
AM3 (Donner et al., 2011), the atmospheric component of the GFDL coupled model CM3, was designed with an awareness of key emerging issues in climate science, including aerosol-cloud interactions in climate and climate change, chemistry-climate feedbacks, land and ocean carbon cycles and their interactions with climate change, and decadal prediction. It is GFDL's first global atmospheric model to include cloud-aerosol interactions, with 20 interactive aerosol species. AM3 includes interactive tropospheric and stratospheric chemistry (85 species). AM3 uses emissions to drive its chemistry and aerosols. Its inclusion of stratospheric chemistry and dynamics will enable possible interactions between the stratosphere and troposphere on interannual scales to be included in future studies of decadal predictability. Its stratosphere has increased vertical resolution over AM2, with the uppermost level at about 1 Pascal. AM3's improved simulation of Amazon precipitation will enhance future coupling into an earth-system model. AM3 uses a cubed-sphere implementation of the finite-volume dynamical core. Earth's atmosphere is represented as a cube with six rectangular faces. There is no singularity associated with the north and south poles as with the spherical representation. Computationally, the core is highly scalable and efficient at advecting the large number of tracers associated with AM3's chemistry and aerosols. AM3 uses physically based aerosol activation (Ming et al., 2006) to form cloud droplets. All cloud parameterizations in AM2 were either replaced or augmented to include sub-grid distributions of vertical velocity required for these activation calculations. Sub-grid distributions of vertical velocity are included in AM3's stratiform clouds (Golaz et al., 2011); deep convection (Donner et al., 2001, and Wilcox and Donner, 2007) represented by an ensemble of plumes with mass fluxes and vertical velocities, simple bulk microphysics, and mesoscale updrafts and downdrafts; and shallow convection after Bretherton et al. (2004, Mon. Wea. Rev.) with buoyancy sorting, entraining plumes and vertical velocity. AM3 Code Released March 2012 The code for this model is publicly available. If you are interested in downloading the code, please do so here.
Functions to assist in land use regression using aerosol optical depth
Simultaneous estimation of surface reflectance and aerosol optical depth
Atmospheric Scattering for Unity
Bayesian Aerosol Retrieval algorithm
Aeronet binaries
A simplified set of python aerosol and optical analysis classes using kappa-Kohler and Mie theory.
Deep Learning Book Chinese Translation
Renders sky colors with Rayleigh and Mie scattering.
Code to run the validations & comparisons presented in 'A global comparison of integrated water vapour estimates from WMO radiosondes, AERONET sun photometers and GPS for the 17 year period from 1997 to 2013' by Wilson et al. Edit
Kernel vegetation indices and the kernel NDVI
My blogs and code for machine learning. http://cnblogs.com/pinard
Collection of codes to calculate scattering from spheres using the Mie solution
This is my first repository,just for testing.
Temporal and spatial data analysis from several days of optical remote sensing measurements in Beijing and Tianjing, China. Since the data were collected from different spectrometers (using the DOAS, the SOF and the 'Flame') , the wind meter and the GPS tracker, data cleaning and merging were applied heavily. The report can be read here: http://bth.diva-portal.org/smash/record.jsf?dswid=6757&pid=diva2%3A1161372&c=1&searchType=SIMPLE&language=en&query=Optical+Remote+Measurements+of+Particles+in+Emission+Gas+Plumes&af=%5B%5D&aq=%5B%5B%5D%5D&aq2=%5B%5B%5D%5D&aqe=%5B%5D&noOfRows=50&sortOrder=author_sort_asc&sortOrder2=title_sort_asc&onlyFullText=false&sf=undergraduate
学习强国 xuexiqiangguo 全网最好用学习强国助手:Panda_Learning 萌萌的熊猫帮你搞定学习强国
Reconstructing scattering and polarisation phase functions from polarimetry measurements
plot function by Longhao Wang
Python wrapper for Mie theory libraries used in aerosol radiative calculations
Pure python library for Mie scattering calculations
A code to exchange data between python and Matlab
Toy box model for tracking aerosol size distribution moments.
A method to retrieve aod from remote sensing data of visible bands.It is based on the ratio of surface reflectance ratio,similiar to the method suggested in Shobha Kondragunta's paper"An enhanced VIIRS aerosol optical thickness (AOT) retrieval algorithm over land using a global surface reflectance ratio database".In this program ,i only use the data from mosdis.If you want more information ,contact me through e-mail [email protected].
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.