Posts Tagged «Atmospheric Science»

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

Huck, P., B. Light, H. Eicken, and M. Haller, “Mapping sediment-laden sea ice in the Arctic using AVHRR remote-sensing data: Atmospheric correction and determination of reflectances as a function of ice type and sediment load“, Remote Sensing of Environment, 107, 484-495, 2007.

The objective of this project is to investigate impacts of Arctic sea ice reduction on bromine, ozone, and mercury chemical processes, transport, and distribution from sea ice surfaces on the Arctic Ocean, and atmospheric transport of these chemicals to high mountains on land.

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, Y. H., J.R. Key, A. J. Schweiger and J. A Francis, “Characteristics of satellite-derived clear-sky atmospheric temperature inversion strength in the Arctic 1980-96”, J Climate, 19(19), 4902-4913, 2006.

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 .

Perovich D.K., S.V. Nghiem, T. Markus, A. Schweiger, “Seasonal evolution and interannual variability of the local solar energy absorbed by the Arctic sea ice-ocean system”, J. Geophys. Res.-Oceans, 112 (C3): Art. No. C03005, 2007.

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:

Rawlins, M. A., M. Steele, M. C. Serreze, C. J. Vorosmarty, W. Ermold, R. B. Lammers, K. C. McDonald, T. M. Pavelsky, A. Shilomanov, and J. Zhang, “Tracing freshwater anomalies through the air-land-ocean system: A case study from the Mackenzie River Basin and the Beaufort Gyre”, Atmos. Ocean, 47(1), 79–97, doi:10.3137/OC301, 2009.

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?

Rigor, I.G.,’ Arctic meteorological stations’, Encyclopedia of the Arctic, Routledge, New York, 2004.

Rigor, I.G., and J.M. Wallace,’ Variations in the age of Arctic sea-ice and summer sea-ice extent’, Geophys. Res. Lett., 31, L09401, 10.1029/2004GL019492, 2004.

Schweiger, A.J., “Changes in seasonal cloud cover over the Arctic seas from satellite and surface observations“, Geophys. Res. Lett., 31, 10.1029/2004GL020067, 2004.

Schweiger, A.J., Lindsay, R.W., Vavrus, S., Francis, J.A., “Relationships between Arctic Sea Ice and Clouds during Autumn”, Journal of Climate, doi: 10.1175/2008JCLI2156.1, 2008a.

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.

Through this project, investigators will characterize the seasonal linkages between the land surface greenness and a suite of land, atmosphere, and ocean characteristics, focusing on the Beringia/ Beaufort Sea, where there have been strong positive increases in the Normalized Difference Vegetation Index (NDVI) over the past 25 years, and the west-central Arctic Eurasia region, where the NDVI trends have been slightly negative.

Serreze, M.C. and I.G. Rigor,’ The cryosphere and climate change: perspectives on the Arctic’s shrinking sea ice cover’, Glacier Science and Environmental Change, ed. P. Knight, Blackwell Publishing, Ltd, Oxford, 2006.

Description: Satellite derived Atmospheric Parameters  from TOVS  (HIRS/MSU) for the polar regions
Geographic Area: Arctic: North of 60 Degrees, Antarctic: South of 50 Degrees
Time Period: 1979-2005. Daily and monthly averages
Parameters: Temperature, Humidity Profiles, Cloud Fraction, Height
Data Access:

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.

Vavrus, S., D. Waliser, A. Schweiger, and J. Francis, “Simulations of 20th and 21st century Arctic cloud amount in the global climate models assessed in the IPCC AR4”, Clim Dynam, 33, 1099-1115, 2009.

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.