Space Apps 2017

Every Cloud

Background / Helpful Links

How to Download Data Files from HTTP Service with wget

http://www.sciencemag.org/news/2016/11/watch-air-pollution-flow-across-planet-real-time

http://www.vets.ucar.edu/vg/NGCM/index.shtml

https://en.wikipedia.org/wiki/Primitive_equations

Reading HDF files in python:

http://www.science-emergence.com/Articles/How-to-read-a-MODIS-HDF-file-using-python-/

http://hdfeos.org/software/pyhdf.php

https://support.hdfgroup.org/products/java/release/download.html

Google API

https://developers.google.com/maps/documentation/javascript/examples/overlay-simple

https://developers.google.com/maps/documentation/

MatPlotLib

http://seaborn.pydata.org/tutorial/distributions.html

Reading HDF4:

panoply: https://www.giss.nasa.gov/tools/panoply/

Getting data from wget:

https://disc.gsfc.nasa.gov/SSW/#keywords=AIRX3STD%20006

Data Sources

Aerosol Data

https://giovanni.gsfc.nasa.gov/giovanni/#service=TmAvMp&starttime=&endtime=&variableFacets=dataFieldDiscipline%3AAerosols%3BdataFieldMeasurement%3ABlack%20Carbon%3B

Information on data above:

https://gmao.gsfc.nasa.gov/pubs/docs/Bosilovich785.pdf

Cyclone data

http://sedac.ciesin.columbia.edu/data/set/ndh-cyclone-hazard-frequency-distribution

Storm database (National Oceanic and Atmospheric Association NOAA)

https://www.ncdc.noaa.gov/stormevents/

Satellite data (cloud cover/surface temperature)

https://www.ncdc.noaa.gov/data-access/satellite-data/satellite-data-access-datasets

Global Climate and Environmental data (Temperatures/Pressures/Wind speed)

https://giovanni.gsfc.nasa.gov/giovanni/

One step back:

https://giovanni.gsfc.nasa.gov/giovanni/#service=TmAvMp&starttime=&endtime=&variableFacets=dataFieldMeasurement%3AAir%20Pressure%3B

ANN Weather forecasting

http://ac.els-cdn.com/S221201731200326X/1-s2.0-S221201731200326X-main.pdf?_tid=acdf76a2-2ccc-11e7-b897-00000aacb35d&acdnat=1493464504_317dacc327c7b2d3f511f68c049cd3e4

Considerations

Consider various sources of aerosols in your study to identify if certain types of aerosols may be more frequently associated with severe weather events.

Are specific weather events more susceptible to influence by atmospheric aerosols?

UN Goals

• Goal 1.5: By 2030, build the resilience of the poor and those in vulnerable situations and reduce their exposure and vulnerability to climate-related extreme events and other economic, social and environmental shocks and disasters.
• Goal 11.5: By 2030, significantly reduce the number of deaths and the number of people affected and substantially decrease the direct economic losses relative to global gross domestic product caused by disasters, including water-related disasters, with a focus on protecting the poor and people in vulnerable situations.
• Goal 13.1: Strengthen resilience and adaptive capacity to climate-related hazards and natural disasters in all countries

Our Interest

• Impact of sulfates.

Sources

Audience

• Government/Scientific communities.

Images

Carbon Density [kg/m^2] Feb 22, 2016.

Severe weather events (US, 2016):

Black carbon column density (2016)

July (below):

Temperature (US, 2016)

Black Carbon Column Density (US, Jul 2016)

Corresponding temperature:

PRESENTATION LINK:

https://docs.google.com/presentation/d/14058blDOSl...