In Global Footprint Mapping and Micro-Simulation:A Tool for Risk Management, Lezlie Morini̬re and her co-authors make the case for including human migration as an ongoing consequence of climate change, and a risk that needs official acknowledgement as well as management.
In the future, every stage of disaster management will benefit from widespread implementation of service oriented architectures designed mainly for non-disaster uses and based on open standards.
For the first time in its history, the human being has the ability to manipulate the environment on a global scale. These global changes pose tremendous challenges for the integration of science and scientists in decision-making. When dealing with uncertainty and high risks, such as natural disasters, such integration is particularly difficult, but necessary.
Over the past five years, Jackson State University has taken a leading role in the development of a world-class mesoscale observing network in Mississippi for research, education, and operational use: The Mississippi Mesonet (White and Matlack 2005). Broadly speaking a mesonet can be considered to be a network of automated weather observing stations whose spatial distribution facilitates near-real time description in between the standard “synoptic” observing stations of the National Weather Service (NWS) and Federal Aviation Administration (FAA). In many cases, they are characterized by improved temporal resolution and supplemental sensors compared to the synoptic network.
