Posts Tagged «Jinlun Zhang»

Alkire, M.B., J. Morison, A. Schweiger, J. Zhang, M. Steele, C. Peralta-Ferriz, and S. Dickinson (2017). A meteoric water budget for the Arctic Ocean, Journal of Geophysical Research, doi:10.1002/2017JC012807.

The Arctic Sea Ice Volume Anomaly time series is calculated using the Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS) developed at APL/PSC.  Updates will be generated at approximately monthly intervals.

The role and magnitude of feedback processes, such as the ice-albedo feedback cannot be observed. They must be diagnosed from validated models that include the appropriate physics. For example, observational studies, attempting to discern the effect of clouds on sea ice (e.g. Schweiger et al 2008) confront the difficulty of separating cloud variability from other changes, such as atmospheric circulation. Model experiments that can isolate the role of a specific mechanism (e.g. Bitz, 2009) are needed to test and advance our current understanding of feedbacks in the atmosphere-ice-ocean system and to ultimately improve predictive capabilities for weather and climate. The…

Banas, N. S., J. Zhang, R. G. Campbell, R. N. Sambrotto, M. W. Lomas, E. Sherr, B. Sherr, C. Ashjian, D. Stoecker, and E. J. Lessard, Spring plankton dynamics in the Eastern Bering Sea, 1971-2050: Mechanisms of interannual variability diagnosed with a numerical model, J. Geophys. Res. Oceans, 121, doi:10.1002/2015JC011449, 2016.

Bi, H., J. Zhang, Y. Wang, Z. Zhang, Y. Zhang, M. Fu, H. Huang, and X. Xu, Arctic Sea Ice Volume Changes in Terms of Age as Revealed From Satellite Observations, IEEE Geoscience & Remote Sensing Society, DOI: 10.1109/JSTARS.2018.2823735, 2018.

The primary objective of this research is to construct a comprehensive bias-corrected sea ice thickness record and use it to better quantify and understand the dramatic changes that have been observed in the Arctic ice pack. To do this all available Arctic sea ice thickness observations will be integrated, from satellite, aircraft, and subsurface measurements, and used to identify and correct systematic errors through comparisons with a common reference. With the resultant record four science questions will be answered:• What are the systematic differences between different measurement systems for sea ice thickness?• What are the spatial patterns in the trends…

Bieniek, P. A., U. S. Bhatt, D. A. Walker, M. K. Raynolds, J. C. Comiso, H. E. Epstein, J. E. Pinzon, C. J. Tucker, R. L. Thoman, H. Tran, N. Mölders, M. Steele, J. Zhang, and W. Ermold, Climate drivers linked to changing seasonality of Alaska coastal tundra vegetation productivity. Earth Interactions, 19, No. 19, 2015.

Blanchard-Wrigglesworth, E., R. I. Cullather, W. Wang, J. Zhang, and C. M. Bitz, Model forecast skill and sensitivity to initial conditions in the seasonal Sea Ice Outlook, Geophys. Res. Lett., 42, 8042-8048, doi:10.1002/2015GL0658, 2015.

September 17, 2019 – Research by Axel Schweiger and Jinlun Zhang in Collaboration with Kevin Wood from JISAO reconstructs sea ice volume and thickness since 1901. 

The Bering Sea – lying at the northern end of the Pacific Ocean and north of the Aleutian Chain – is the source of over 50% of the total US fish catch and the home to immense populations of birds and marine mammals. This project uses a state-of-the-art numerical ocean-ice model to investigate prior (and predict future) changes in the Bering Sea ice cover and study the impacts of these changes on Bering Sea marine and eco-systems.

PI: Jinlun ZhangThis project will investigate future changes in the seasonal linkages and interactions among arctic sea ice, the water column, and the marine production cycles and trophic structure as an integrated system. This is a collaborative project led by Jinlun Zhang with Mike Steele, Univ. of WA, Y. Spitz, Oregon State Univ., C. Ashjian, Woods Hole, and R. Campbell, Univ. of Rhode Island.Read More

Clement Kinney, J., W. Maslowski, Y. Aksenov, B. de Cuevas, J. Jakacki, A. Nguyen, R. Osinski, M. Steele, R.A. Woodgate, and J. Zhang,  On the flow through Bering Strait: A synthesis of model results and observations, Chapter 7, in The Pacific Arctic Region: Ecosystem Status and Trends in a Rapidly Changing Environment, J. M. Grebmeier and W. Maslowski (eds.), doi 10.1007/978-94-017-8863-2_4, 2014.

A new study finds that an area of the Arctic Ocean critical for the survival of polar bears is fast becoming vulnerable to climate change.

The region, dubbed the “last ice area” had been expected to stay frozen far longer than other parts of the Arctic.

But this new analysis says that this area suffered record melting last summer.

The researchers say that high winds allied to a changing climate were behind the unexpected decline.


Collow, T.W., W. Wang, A. Kumar, and J. Zhang, Improving Arctic sea ice prediction using PIOMAS initial sea ice thickness in a coupled ocean-atmosphere model, Mon. Wea. Rev., 143, 4618-4630, doi:, 2015.

Danielson, S., T. Weingartner, K. Aagaard, J. Zhang, and R. Woodgate, Circulation on the central Bering Sea shelf, July 2008 to July 2010, J. Geophys. Res., 117, C10003, doi:10.1029/2012JC008303, 2012.

Dewey, S., Morison, J., Zhang, J., 2017. An Edge-Referenced Surface Fresh Layer in the Beaufort Sea Seasonal Ice Zone. Journal of Physical Oceanography. doi:10.1175/JPO-D-16-0158.1

Dewey, S., Morison, J., Kwok, R., Dickinson, S., Morison, D. & Andersen, R., 2018. Arctic ice-ocean coupling and gyre equilibration observed with remote sensing. Geophysical Research Letters, 45.

Eicken, H., A. Mahoney, J. Jones, T. Heinrichs, D. Broderson, H. Statscewich, T. Weingartner, M. Stuefer, T. Ravens, M. Ivey, A. Merten, and J. Zhang, Sustained observations of changing Arctic coastal and marine environments and their potential contribution to Arctic maritime domain awareness: A case study in northern Alaska, Arctic, 71, 1-15.,, 2018.

PI: Dr. Elizabeth HolmesCo-Investigator for APL: Jinlun ZhangThe effects of climate change are projected to be disproportionately pronounced in polar regions, where changes in the extent of Arctic sea ice will have an effect on all trophic levels. The endangered bowhead whale (Balaena mysticetus) is one of the largest animals in the Arctic, yet they feed on some of the smallest Arctic animals, zooplankton. Therefore, physically-induced bottom-up changes may be quickly reflected in the distribution of bowhead whales. Some of the important threats to bowhead whales include shipping and offshore oil drilling. Loss of sea ice in the Arctic has…

Forman, S.L., W. Maslowski, J.T. Andrews, D. Lubinski, M. Steele, J. Zhang, R. Lammers and B. Peterson: Researchers Explore Arctic Freshwater’s Role in Ocean Circulation, EOS, Transactions, American Geophysical Union, 81(16), pages 169, 174, 2000.

Decription: Globle Ice-Ocean Modeling and Assimilation System Data
Geographic Area:
Time Period: 1979 – present
Parameters: Ice thickness, concentration, ocean surface temperature, salinity, velocity, and others.
Data Access:
Global Sea Ice (GIOMAS) Data Sets


Häkkinen, S., F. Dupont, M. Karcher, F. Kauker, D. Worthen, and J. Zhang,’ Model simulation of Greenland Sea upper-ocean variability’, J. Geophys. Res., 112, C06S90, doi:10.1029/2006JC003687, 2007.

Holloway G., F. Dupont, E. Golubeva, S. Hakkinen, E. Hunke, M. Jin, M. Karcher, F. Kauker, M. Maltrud, M. A. Morales Maqueda, W. Maslowski, G. Platov, D. Stark, M. Steele, T. Suzuki, J. Wang, and J. Zhang,’ Water properties and circulation in Arctic Ocean models’, J. Geophys Res., 112, C04S03, doi:10.1029/2006JC003642, 2007.

Huntington, H.P., G. Noongwook, N.A. Bond, B. Benter, J.A. Snyder, and J. Zhang, The influence of wind and ice on spring walrus hunting success on St. Lawrence Island, Alaska, Deep-Sea Res. II, 94, doi:10.1016/j.dsr2.2013.03.016, 312-322, 2013.

Recent years have seen extreme changes in the Arctic sea ice cover and adjacent open ocean – reduced ice extent, record sea surface temperatures, thinner and younger ice, and loss of ice in areas that had been ice-covered throughout human memory.Particularly striking are changes within marginal ice zones (MIZ) – areas that are becoming increasingly covered by low concentration, diffuse sea ice.The proposed work, referred to here as the “Marginal Ice Zone Ocean and Ice Observations and Processes Experiment (MIZOPEX)”, brings to bear the capabilities of unmanned aircraft systems (UAS) in concert with in-situ observations and satellite remote sensing to…

A. Jahn, Y. Aksenov, B. A. de Cuevas, S. Häkkinen, E. Hansen, C. Herbaut, M. N. Houssais, M. Karcher, C. Lique, A. Nguyen, P. Pemberton, L. de Steur, D. Worthen, J. Zhang, 2012: Arctic freshwater: How robust are model simulations?, JGR-Ocean, 117, C00D16, doi:10.1029/2012JC007907

Jin, M., E. E. Popova, J. Zhang,, R. Ji, D. Pendleton, Ø. Varpe, A. Yool, and Y.J. Lee, Ecosystem model intercomparison of under-ice and total primary production in the Arctic Ocean, J. Geophys. Res. Oceans, 121, 934-948, doi:10.1002/2015JC010770, 2016.

Johnson, M,  A. Proshutinsky, A. Nuyen, R. Lindsay, C. Haas, J. Zhang, N. Diansky, R. Kwok, W. Maslowski, S. Hakkinen, I. Ashik, B. deCuevas, 2012:  Evaluation of Arctic sea ice thickness simulated by AOMIP models. J. Geophys. Res., 117, C00D13, doi:10.1029/2011JC007257.

Karcher, M., F. Kauker, R. Gerdes, E. Hunke, and J. Zhang,’ On the dynamics of Atlantic Water circulation in the Arctic Ocean’, J. Geophys. Res., 112, C04S02, doi:10.1029/2006JC003630, 2007.

Kvile, K., C. Ashjian, Z. Feng, J. Zhang, and R. Ji, Pushing the limit: Resilience of an Arctic copepod to environmental fluctuations. Glob Change Biol. 2018; 24:5426-5439.

November 12, 2019 – Former UW Arctic Fulbright Chair, Kent Moore with PSC researchers Axel Schweiger, Jinlun Zhang and Mike Steele on how the  oldest and thickest Arctic sea ice is disappearing twice as fast as ice in the rest of the Arctic Ocean.

Laxon, W.S, K. A. Giles, A. L. Ridout, D. J. Wingham, R. W., R.Cullen, R. Kwok, A. Schweiger, J. Zhang, C. Haas, S. Hendricks, R. Krishfield, N.Kurtz, S Farrell, M Davidson, CryoSat-2 estimates of Arctic sea ice thickness and volume, Geophys. Res. Lett., doi:10.1002/grl.5019, 2013.

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.

Lindsay, R., C. Haas, S. Hendricks, P. Hunkeler, N. Kurtz, J. Paden, B. Panzer, J. Sonntag, J. Yungel, and J. Zhang, 2012: Seasonal forecasts of Arctic sea ice initialized with observations of ice thickness, Geophys. Res. Lett., 39, L21502, doi:10.1029/2012GL053576.

Lindsay, R. W. and J. Zhang, “The thinning of arctic sea ice, 1988-2003: Have we passed a tipping point?“, J. Climate, 18,  4879–4894, 2005.

Lindsay, R. W. and J. Zhang, “Assimilation of ice concentration in an ice-ocean model”, J. Atmos. Ocean. Tech., 23, 742-749, 2006.

Lindsay, R.W., J. Zhang, and D.A. Rothrock, “Sea-ice deformation rates from satellite measurements and in a model”, Atmos. Ocean, 41, 35-47, 2003.

Lindsay, R. W. and J. Zhang, 2005: The dramatic thinning of arctic sea ice, 1988-2003: have we passed a tipping point?. J. Climate, 18, 4879-4894.

Lindsay, R. W. and J. Zhang, “Arctic Ocean ice thickness: modes of variability and the best locations from which to monitor them”, J. Physical Ocean, 36, 496-506, 2006.

Lindsay, R.W., J. Zhang, A. Schweiger and M.A. Steele, “Seasonal predictions of ice extent in the Arctic Ocean”, J. Geophys. Res., 113(C2), 2008.

Lindsay, R.W., J. Zhang, A. Schweiger, M.A. Steele and H. Stern, “Arctic Sea Ice Retreat in 2007 Follows Thinning Trend”, J. Clim., 22, 165-176, doi: 10.1175/2008JCLI2521., 2009.

Martin, T., M. Steele, and J. Zhang, Seasonality and long-term trend of Arctic Ocean surface stress in a model, J. Geophy. Res., 119, 1723-1738, doi:10.1002/2013JC009425, 2014.

Menemenis, D., C. Hill, A. Adcroft, J.-M. Campin, B. Cheng, B. Ciotti, I. Fukumori, P. Heimbach, C. Henze, A. Kohl, T. Lee, D. Stammer, J. Taft, and J. Zhang, “NASA supercomputer improves prospects for ocean climate research“, EOS, 86(9), 2005.

Miller, R.L. and others including J. Zhang, CMIP5 historical simulations (1850-2012) with GISS ModelE2, J. Adv. Model. Earth Syst., 6, no. 2, 441-477, doi:10.1002/2013MS000266, 2014.

The overarching goal of the MIZMAS project is to enhance our understanding of MIZ processes and interactions, and to strengthen our prediction capability of future climate change, particularly the changes in both the ITD and the FSD, in the CBS. We propose numerical investigations of the historical and contemporary changes in the sea ice and upper ocean of the CBSMIZ. We also plan to investigate future changes of the CBSMIZ under global warming scenarios. These investigations involve new and potentially transformative theoretical and numerical work to develop, implement, and validate a new coupled ice–ocean Marginal Ice Zone Modeling and Assimilation System (MIZMAS) that will enhance the representation of the unique MIZ processes by incorporating a FSD and corresponding model improvements.

Moore, G. W. K., Schweiger, A., Zhang, J., & Steele, M. (2019). Spatiotemporal Variability of Sea Ice in the Arctic’s Last Ice Area. Geophysical Research Letters, 46(20), 11237-11243. doi:10.1029/2019gl083722

Moore, G. W. K., Schweiger, A., Zhang, J., & Steele, M. (2018). Collapse of the 2017 winter Beaufort High: A response to thinning sea ice? Geophysical Research Letters, 45, 2860–2869.

Moore, G.W.K., A. Schweiger, J. Zhang, and M. Steele, What caused the remarkable February 2018 North Greenland Polynya? Geophys. Res. Lett., 45,, 2018.