The application of feedback analysis tools
from control-engineering to research problems in climate dynamics; principally
understanding geoengineering, and understanding climate variability.
The dynamics of intentional climate
intervention (geoengineering, and solar radiation management in particular).
Research includes (i) using feedback to manage uncertainty, and illustrating the dynamic effect of changing natural
variability, (ii) optimizing the
distribution in space and time to "design" outcomes, and (iii)
determining how long it takes to learn something from a full-scale test,
based on signal-to-noise ratios.
System identification tools from
control-engineering, applied to climate systems, and to the Atlantic
Meridional Overturning Circulation (AMOC) and El Nino/Southern
Oscillation (ENSO) in particular. This provides a mechanism both for better
understanding the Earth's climate system, and for comparing the dynamics of
the real world with models at a mechanistic level rather than simply at the behavioural level.
Understanding how to develop robust
feedback control strategies for high-dimensional, fundamentally nonlinear
fluid systems; current research joint with Prof. Tim Colonius is in the
context of flow control (e.g. fluid separation), but is relevant to
understanding dynamics of intervention in the climate system.
I am also fascinated by the question of
why people are so averse to believing in basic physics, but that isn't a
subject I do research on...
B., D. G. MacMartin, H. Wang, and P. J. Rasch, “Geoengineering as a design
problem”, Earth System Dynamics Discussion (under review, Earth System
D.G., L. Zanna, and E. Tziperman, “Suppression of AMOC variability at
increased CO2” submitted.
B., D. G. MacMartin, P. J. Rasch, and A. J. Jarvis, “A new method of
comparing climate forcing agents”, in press, J. Climate, 2015.
D. G., and H. Thompson, “A vibration budget for observatory equipment”,
SPIE J. Astronomical Telescopes, Instruments, and Systems, 1 (3), 034005
(September 16, 2015). doi:
MacMartin, D. G., B. Kravitz, and P. J. Rasch, “On solar geoengineering and
climate uncertainty”, Geophysical Research Letters, 42, 2015.
Cvijanovic, I., K. Caldeira, and D. G. MacMartin, “Impacts of ocean albedo
alteration on Arctic sea ice restoration and Northern Hemisphere climate”,
Environmental Research Letters, 10(4), 2015.
W., and D. G. MacMartin “A temporary, moderate, and responsive scenario for
solar geoengineering”, Nature Climate Change, 5, March 2015.
D. W., R. Duren and D. G. MacMartin, “Field experiments on Solar
Geoengineering: An exploration of a representative research portfolio”,
Phil. Trans. Royal Soc. A., 372(2031), 2014.
MacMartin, D. G., K. Caldeira, and D. W. Keith, “Solar geoengineering to
limit rates of change”, Phil. Trans. Royal Soc. A, 372(2031),
Kravitz, B., D. G. MacMartin, A. Robock, P.J. Rasch, K.L. Ricke, J.N.S.
Cole, C.L. Curry, P.J. Irvine, D. Ji, D. W. Keith, J.E. Kristjánsson, J.C.
Moore, H. Muri, B. Singh, S. Tilmes, S. Watanabe, S. Yang, and J.-H. Yoon,
“A multi-model assessment of regional climate disparities caused by solar
geoengineering”, Environmental Research Letters, 9(7), 2014.
M., Tziperman, E., and MacMartin, D. G., “Process-based analysis of climate
model ENSO simulations: inter-model consistency and compensating errors”, J. Geophysical Research – Atmospheres, 2014.
MacMartin, D. G. and Tziperman, E., “Using transfer functions to quantify
ENSO dynamics in data and models”, Proc. Royal Soc. A, 2014.
Kravitz, B., MacMartin, D. G., Leedal, D. T., Rasch, P. J., and Jarvis, A.
feedback and the management of uncertainty in meeting climate objectives
with solar geoengineering”, Environmental Research Letters, 9(4), 2014.
MacMartin, D. G., Kravitz, B., Keith, D. W., and Jarvis, A., “Dynamics of
the coupled human-climate system resulting from closed-loop control of solar
geoengineering”, Climate Dynamics, 43(1-2), 2014.
MacMartin, D. G., Tziperman, E., and Zanna, L., “Frequency domain
multi-model analysis of the response of Atlantic meridional overturning
circulation to surface forcing”, J. Climate
8323-8340, 2013. (doi: 10.1175/JCLI-D-12-00717.1)
Robock, A., MacMartin, D.G., Duren, R., and Christensen, M.W., “Studying
geoengineering with natural and anthropogenic analogs,” Climatic Change
MacMartin, D.G., Keith, D. W., Kravitz, B., and Caldeira, K., “Management
of tradeoffs in geoengineering through optimal choice of non-uniform
radiative forcing”, Nature Climate Change, 2012. (DOI:
Kravitz, B., MacMartin, D. G., and Caldeira, K., “Geoengineering:
Whiter skies?” Geophys. Res. Lett., 2012.
MacMynowski, D. G., Keith, D., Caldeira, K., and Shin, H.-J., “Can we test
geoengineering?” Energy and Environmental Science, 2011.
D. G., Shin, H.-J., and Caldeira, K.., “The
frequency response of temperature and precipitation in a climate model”, Geophysical Research Letters,
38, L16711, 2011. (Supplemental
MacMynowski, D. G. and Tziperman, E., “Using transfer functions to quantify ENSO
dynamics in data and models”, submitted, Phil. Trans. Royal Soc. A, 2011.
MacMynowski, D. G. and Tziperman, E., “Testing and improving ENSO models by
process, using transfer functions”, Geophysical Research Letters,
MacMynowski, D. G. “Can we control El Nino?”,
Vol 4, Environmental
Research Letters, 2009.
MacMynowski, D. G. and E. Tziperman, "Factors
affecting ENSO's period", J. Atmospheric Sciences,
Vol. 65, No. 5, pp. 1570-1586, 2008.
MacMynowski, D. G. and E. Tziperman, "Two-Way
Feedback Interaction between the Thermohaline and Wind-Driven Circulations",
J. Physical Oceanography,
Vol. 36, No. 5,
pp. 914-929, 2006.