Ph.D. Dissertation by Alejandra María Rojas González, Department of Civil Engineering and Surveying, University of Puerto Rico – Mayaguez Campus, July 2012.
Testbed Subwatershed (TBSW) location within the 4 km by 4 km NEXRAD pixel and rain gauge network.
Quantifying how greenhouse gases contribute to extreme weather is a crucial step in calculating the cost of human influence
Related Links:
Climate Variability and Climate Change: The New Climate Dice
https://pragwater.com/2012/06/27/climate-variability-and-climate-change-the-new-climate-dice/
Study links global warming to Texas heat waves
http://www.sacbee.com/2012/07/10/4621303/study-links-global-warming-to.html
Scientists attribute extreme weather to man-made climate change
http://www.guardian.co.uk/environment/2012/jul/10/extreme-weather-manmade-climate-change?CMP=twt_fd
Crazy summer is a result of ‘global weirding’, not warming
http://www.thenews.com.pk/Todays-News-1-120738-Crazy-summer-is-a-result-of-%E2%80%98global-weirding%E2%80%99-not-warming
State of the Climate – NOAA’s June Report
http://www.ncdc.noaa.gov/sotc/
The National Academies, the nation’s preeminent independent scientific advisory body, has released a series of videos building on themes laid out in its America’s Climate Choices reports over the past couple of years. Above, you can watch the material as a single long video. Below you can find links to seven themed sections:
There’s plenty more on Dot Earth related to these reports. And of course there’s plenty here on the basic science pointing to a rising human influence on the climate system.
Example results: Actual Evapotranspiration for the June 2012 over Puerto Rico. Units are in millimeters/month.
Additional Information:
GOES-Puerto Rico Water and Energy Balance (GOES-WEB) Algorithm
HYDROGEOLOGY OF THE PRINCIPAL SPRINGS IN PUERTO
How your smartphone could one day predict the weather
The article suggests that with humidity and barometric pressure measurements alone, it would be possible to predict the weather using a network of cell phones. I guess this approach would have to filter out data from a cell phone, for example, in an air conditioned building where the air is essentially dehumidified in the cooling process, or a cell phone in in an oil heated building during the winter in the northern U.S., where the air becomes extremely dry. Anyhow, the idea is interesting and might be applicable for many other types of sensors that could estimate, for example, solar energy, air quality, human stress levels, traffic patterns, etc..
PRAGWATER 