I describe my experiences and observations over a career that
has grown parallel to a field of scientific and practical interest that has grown
from raw data collection to its mature status embracing all the rigors of
statistical, physical, and mathematical standards. I came to climate science
after training as a theoretical physicist. I was one of many bringing those
theoretical ideas and methods to the field.
My first paper in climate science was published in 1975—I
was age 37, a time when many say a theorist is done. In physics I was done, but
the passion for science remained. I learned statistical methods such as the
behavior of random fields being applied to maps in climate science. Using these
statistical methods colleagues and I developed methods of estimating the
sampling errors committed in the analysis of continuous data maps and in
feasibility studies for satellites in different orbital configurations. By this
time, I was working at NASA in Greenbelt Maryland.
From my time in Boulder I also constructed simple climate
models that could be solved without supercomputers, and these opened the gate
for numerous studies in paleoclimatology. Some of these papers clarified the
stability of ice caps and the importance of the seasonal cycle in paleobiology
and the formation of the ice ages. Later at Texas A&M University I collaborated
with great students on the statistical detection of faint signals in the
climate system. At that time the effects of global warming were faint, but the
distinct patterns of their response in space and time was enough for us to sort
out the patterns from sunspot cycles, aerosols, volcanic eruptions, and
greenhouse gases. Now, the signals are so strong, one hardly needs this level
of fine signal processing.
As I passed through my time in climate science, I visited
many different governmental and academic institutions as a reviewer or board
member for nonprofit organizations. I learned how these entities operated. I
also played a role in foreign visits to institutions in England, Japan and China,
mainland and Taiwan, in connection with satellites. I visited the USSR five
times, once for a summer, in connection with an agreement intended to warm the
relations between the two superpowers. I was able to draw some inferences as to
the efficacies of practices in these institutions.
I have concerns with the overuse of metrics in evaluating
the status or value of individuals, departments, and whole institutions, all to
the detriment of diversity in subcultures, age, and other considerations that
are basic to our American heritage. The failure of these practices, when
applied to extreme, was a major factor in the fall of the USSR. One problem is
that it is so easy to game the system with a kind of corruption, first in tiny
steps, but it grows. The institutions work well for a time, and their
collective metrics improve, but later it does not work in the nation’s
interest.
[T]he Holocaust transformed our whole way of thinking about war and heroism. War is no longer a proving ground for heroism in the same way it used to be. Instead, war now is something that we must avoid at all costs—because genocides often take place under the cover of war. We are no longer all potential soldiers (though we are that too), but we are all potential victims of the traumas war creates. This, at least, is one important development in the way Western populations envision war, even if it does not always predominate in the thinking of our political leaders.Carolyn J. Dean, Interview of February 01, 2011
The dominant premise in evolution and economics is that a person is being loyal to natural law if he or she attends to self’s interest and welfare before being concerned with the needs and demands of family or community. The public does not realize that this statement is not an established scientific principle but an ethical preference. Nonetheless, this belief has created a moral confusion among North Americans and Europeans because the evolution of our species was accompanied by the disposition to worry about kin and the collectives to which one belongs.Jerome Kagan, Interview of September 17, 2009
The wide angle
I describe my experiences and observations over a career that has grown parallel to a field of scientific and practical interest that has grown from raw data collection to its mature status embracing all the rigors of statistical, physical, and mathematical standards. I came to climate science after training as a theoretical physicist. I was one of many bringing those theoretical ideas and methods to the field.
My first paper in climate science was published in 1975—I was age 37, a time when many say a theorist is done. In physics I was done, but the passion for science remained. I learned statistical methods such as the behavior of random fields being applied to maps in climate science. Using these statistical methods colleagues and I developed methods of estimating the sampling errors committed in the analysis of continuous data maps and in feasibility studies for satellites in different orbital configurations. By this time, I was working at NASA in Greenbelt Maryland.
From my time in Boulder I also constructed simple climate models that could be solved without supercomputers, and these opened the gate for numerous studies in paleoclimatology. Some of these papers clarified the stability of ice caps and the importance of the seasonal cycle in paleobiology and the formation of the ice ages. Later at Texas A&M University I collaborated with great students on the statistical detection of faint signals in the climate system. At that time the effects of global warming were faint, but the distinct patterns of their response in space and time was enough for us to sort out the patterns from sunspot cycles, aerosols, volcanic eruptions, and greenhouse gases. Now, the signals are so strong, one hardly needs this level of fine signal processing.
As I passed through my time in climate science, I visited many different governmental and academic institutions as a reviewer or board member for nonprofit organizations. I learned how these entities operated. I also played a role in foreign visits to institutions in England, Japan and China, mainland and Taiwan, in connection with satellites. I visited the USSR five times, once for a summer, in connection with an agreement intended to warm the relations between the two superpowers. I was able to draw some inferences as to the efficacies of practices in these institutions.
I have concerns with the overuse of metrics in evaluating the status or value of individuals, departments, and whole institutions, all to the detriment of diversity in subcultures, age, and other considerations that are basic to our American heritage. The failure of these practices, when applied to extreme, was a major factor in the fall of the USSR. One problem is that it is so easy to game the system with a kind of corruption, first in tiny steps, but it grows. The institutions work well for a time, and their collective metrics improve, but later it does not work in the nation’s interest.