Posts Tagged «atmosscienceshow»

Armour, K.C., N. Siler, A. Donohoe, and G.H. Roe, 2019: Meridional Atmospheric Heat Transport Constrained by Energetics and Mediated by Large-Scale Diffusion. J. Climate, 32, 3655–3680,

Baxter, I., Ding, Q., Schweiger, A., L’Heureux, M., Baxter, S., Wang, T., . . . Lu, J. (2019). How Tropical Pacific Surface Cooling Contributed to Accelerated Sea Ice Melt from 2007 to 2012 as Ice Is Thinned by Anthropogenic Forcing. Journal of Climate, 32(24), 8583-8602. doi:10.1175/JCLI-D-18-0783.1

Ding, Q., Schweiger, A., L’Heureux, M., Steig, E. J., Battisti, D. S., Johnson, N. C., Blanchard-Wrigglesworth, E., Po-Chedley, S., Zhang, Q., Harnos, K., Bushuk, M., Markle, B., and Baxter, I. (2018), Fingerprints of internal drivers of Arctic sea ice loss in observations and model simulations. Nature Geoscience.

Donohoe, A., Atwood, A. R., & Byrne, M. P. ( 2019). Controls on the width of tropical precipitation and its contraction under global warming. Geophysical Research Letters, 46, 9958– 9967.

Donohoe, A., E. Blanchard-Wrigglesworth., A. Schweiger, P. Rasch (2020). The effect of atmospheric transmissivity on model and observational estimates of the sea ice albedo feedback. Journal of Climate.  DOI: 10.1175/JCLI-D-19-0674.1.

Donohoe, A., E.J. Dawson, L. McMurdie, D.S. Battisti and A. Rhines (2020). Seasonal asymmetries in the lag between insolation and surface temperature. Journal of Climate.  DOI: 10.1175/JCLI-D-19-0329.1

Donohoe, A., K.C. Armour, G.H. Roe and D.S. Battisti (2020). The partitioning of atmospheric energy transport and changes under climate forcing in coupled climate models. Journal of Climate.  DOI: 10.1175/JCLI-D-19-0797.1

The participants of the IABP work together to maintain a network of drifting buoys in the Arctic Ocean to provide meteorological and oceanographic data for real-time operational requirements and research purposes including support to the World Climate Research Programme and the World Weather Watch Programme.

Lindsay, R., M. Wensnahan, A. Schweiger, and J Zhang, 2014, Evaluation of seven different atmospheric reanalysis products in the Arctic, J. Climate, DOI: 10.1175/JCLI-D-13-0014.1.

Liu, Z., A. Schweiger, and R. Lindsay (2015), Observations and Modeling of Atmospheric Profiles in the Arctic Seasonal Ice Zone, Monthly Weather Review, 143(1), 39-53.

Liu, Z., Schweiger, A. (2017), Synoptic conditions, clouds, and sea ice melt-onset in the Beaufort and Chukchi Seasonal Ice Zone, J. Climate, doi: 10.1175/JCLI-D-16-0887.1 .

Liu, Z., & Schweiger, A., 2019. Low-level and surface wind jets near sea ice edge in the Beaufort Sea in late autumn. Journal of Geophysical Research: Atmospheres, 124, 6873– 6891.

Peterson, P.K., Hartwig, M., May, N.W., Schwartz, E., Rigor, I., Ermold, W., Steele, M., Morison, J.H., Nghiem, S.V. and Pratt, K.A., 2019. Snowpack measurements suggest role for multi-year sea ice regions in Arctic atmospheric bromine and chlorine chemistry. Elem Sci Anth, 7(1), p.14. DOI:

Clouds play a major role in the arctic surface energy balance controlling the growth and melt of sea ice. At the same time the processes involved in the formation, maintenance and dissipation of cloud cover over the Arctic Ocean are thought to be strongly influenced by the sea ice itself. This project will advance the understanding of this interaction and feedback by asking: What is the response of Arctic clouds to diminishing sea ice?

As sea ice disappears in the Arctic Ocean, the U.S. Coast Guard is teaming with scientists to explore this new frontier by deploying scientific equipment through cracks in the ice from airplanes hundreds of feet in the air.

Stroeve, J., A. Barrett, M. Serreze, and A. Schweiger (2014), Using records from submarine, aircraft and satellites to evaluate climate model simulations of Arctic sea ice thickness, Cryosphere, 8(5), 1839-1854.

A new modeling study conducted by Dr. Jinlun Zhang to be published in the Journal of Climate shows that stronger polar winds lead to an increase in Antarctic sea ice, even in a warming climate.

The purpose of this project is to improve satellite retrievals of atmospheric temperature, humidity and clouds.  Retrievals are based on   the physical-statistical retrieval method of Chedin et al. (1985, Improved Iteration Inversion Algorithm, 3I). The method has been improved for use in sea ice-covered areas (Francis 1994) and the data set has been designed to address the particular needs of the Polar research community. The data set represents the so called Path-P as designated by the TOVS Science Working Group.

Zhang, J., R. Lindsay, A. Schweiger, and M. Steele, The impact of an intense summer cyclone on 2012 Arctic sea ice retreat, Geophys. Res. Lett, 40, doi: 10.1002/grl.50190, 2013.