Navjit Sagoo, Ph.D
Mailing address: PO Box 208109, New Haven CT 06520-8109
Street address: 210 Whitney Ave., New Haven CT 06511
My research predominantly focuses on modeling paleoclimates as this allows us to explore changes in the climate that are larger than those available in observational records. Paleoclimate studies are a useful tool for assessing model skill and biases in the models used to for predicting future climate change. Paleoclimates also represent pristine or ‘clean’ atmospheres, which can be used to understand and constrain background, natural aerosol climate forcing, which is a large source of uncertainty in constraining recent radiative forcing.
Mineral Dust and Ice Formation in Clouds
Mineral dust is an ubiquitous natural aerosol and important ice nuclei (IN). My current research explores how mineral dust effects the formation, physical and radiative properties of ice-containing clouds (dust indirect effects). Mineral dust is a ubiquitous natural aerosol which has varied considerably during the past with dusty conditions associated with cold climates such as the Last Glacial Maximum (LGM) and less dusty conditions associated with warmer intervals, such as the mid-Pliocene warm period and the Pleistocene Interglacials. Our research explores how dust indirect effects impact climates with different dust loading to the present day. Increasing dust results in more numerous, smaller ice-crystals in mixed phase cloud which leads to an increase in cloud lifetime, a reduction in precipitation and increased shortwave radiative forcing (see figure below). This results in significant surface temperature cooling (with increased polar amplification) and large hydrological changes with the opposite occurring for reduced dust conditions. Dust indirect effects are an important, albeit currently neglected process in paleoclimates.
Schematic of dust indirect effects in mixed phase clouds. High dust conditions (left) are compared with normal (middle) and low dust (right) conditions. The presence of dust ice nuclei (IN) results in more numerous and smaller ice-crystals to form. This impacts cloud microphysical, marcrophysical properties and precipitation regime.
PhD, (Paleoclimate Modeling), School of Geographical Sciences, University of Bristol, Bristol, UK.
MSc (Oceanography), National Oceanography Centre, Southampton, UK
BSc (Environmental Earth Sciences), University of Reading, Reading, UK.