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aai_simulator_py2

Absorbing aerosol index simulator based on radiative transfer model

aeroct

Aerosol Optical Depth Comparison Tool

aerosol

Aerosol Optical Depth Statistical Analysis

aerosol-1

aerosoldelta

Quantifying aerosol presence and composition over Earth's ice sheets and glaciers - mapping anthropogenic and natural aerosol patters and estimating changes over time

am3

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.

aodlur

Functions to assist in land use regression using aerosol optical depth

atmosphericcorrection

Simultaneous estimation of surface reflectance and aerosol optical depth

atmosphericscattering

Atmospheric Scattering for Unity

baralgorithm

Bayesian Aerosol Retrieval algorithm

cimelmatlab

cimelpackage

Aeronet binaries

csumuriaopt

A simplified set of python aerosol and optical analysis classes using kappa-Kohler and Mie theory.

deeplearningbook-chinese

Deep Learning Book Chinese Translation

glsl-atmosphere

Renders sky colors with Rayleigh and Mie scattering.

iwvcomparison

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

kndvi

Kernel vegetation indices and the kernel NDVI

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

mie-scattering

mie_scattering

Collection of codes to calculate scattering from spheres using the Mie solution

myrepo

This is my first repository,just for testing.

optical_remote_measurement_of_aerosols_in_emission_gas_plumes

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

panda-learning

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

phase-cleaner

Reconstructing scattering and polarisation phase functions from polarimetry measurements

plot-function

plot function by Longhao Wang

py-mie

Python wrapper for Mie theory libraries used in aerosol radiative calculations

python-mie

Pure python library for Mie scattering calculations

pythonmatlab

A code to exchange data between python and Matlab

qmom

Toy box model for tracking aerosol size distribution moments.

red--blue-ratio-method-retrieve-aod

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].