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p ro j e ct 1

3 0

In this multi-center collaborative project,

researchers from the Center for Hybrid

Multicore Productivity Research (CHMPR)

at UMBC and the Center for Advanced

Knowledge Enablement (CAKE) at FIU

and FAU have developed the capability to

deliver a decade of 3-D gridded arrays of

animated visualizations of spectral IR satellite

radiance data from instruments on AQUA.

These animations render in 3-D the vertical

structure of a decade of global and regional

temperature trends occurring at the surface

and lower troposphere. In addition, the

gridding algorithm developed by CHMPR

has been applied to providing CAKE with

3-D temperature profiles that specify the

thermal structure around hurricanes in

Measuring the surface temperature of the

entire Earth on a daily basis is a difficult

challenge because 75% of the planet is

covered with oceans and ice. Continuously

determining, for several days to weeks, the

vertical thermal field around a hurricane

surrounded by dynamically rotating clouds

is needed for more accurate landfall

predictions. Thus, for applications ranging

from climate change to hurricanes, satellite

measure the Earth’s emitted infrared radiation

twice daily with sufficiently high spatial and

spectral resolution to provide an estimate of

vertical profiles of regional or global surface

brightness temperature (BT). However,

in order to assess global warming, these

temperatures need to be measured to within

an accuracy of 0.10 °C per year since models

indicate CO2 warming of ~20-30 over 100

years. Moreover, to resolve the structure

around hurricanes, infrared data at resolutions

of 1-5 km are needed. Not until 2002, when

the Aqua satellite was launched, has there

been a single satellite with instruments that

can meet both the accuracy and the spatial

resolution required.

This study is a collaboration between CAKE (FIU and FAUCenters) and the Center for Hybrid

Multicore Productivity Research at University of Maryland Baltimore County. The NSF

Compendium is available at:

Distributed Cloud Computing: 3-D Visualization Services for

Climate Data on Demand

Borko Furht and Hari Kalva, PIs


Student: Reena Friedel