Observations and modeling of atmospheric profiles in the arctic seasonal ice zone

Monthly Weather Review

Volumn 143, Issue 1, 2015, Pages 39-53

  Liu, Zheng ^a   Schweiger, Axel ^a   Lindsay, Ron ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC BOUNDARY LAYER; ATMOSPHERIC MOVEMENTS; FIGHTER AIRCRAFT; SEA ICE; WEATHER FORECASTING;

ATMOSPHERIC CONDITIONS; BOUNDARY LAYER DIFFUSIONS; GLOBAL FORECAST SYSTEMS; NEAR SURFACE TEMPERATURE; RECONNAISSANCE SURVEYS; SEA ICE CONCENTRATION; TEMPERATURE INVERSIONS; WEATHER RESEARCH AND FORECASTING MODELS;

ATMOSPHERIC HUMIDITY;

ARCTIC ENVIRONMENT; BOUNDARY LAYER; HUMIDITY; MARGINAL ICE ZONE; MODELING; SEA ICE; TEMPERATURE INVERSION; WEATHER FORECASTING;

ARCTIC OCEAN; BEAUFORT SEA;

EID: 84921452491     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-14-00118.1     Document Type: Article

References (78)

1. Andreas, E. L, K. J. Claffey, and A. P. Makshtas, 2000: Lowlevel atmospheric jets and inversions over the western Weddell Sea. Bound.-Layer Meteor., 97, 459-486, doi:10.1023/A:1002793831076.
2. Barandiaran, D., S.-Y. Wang, and K. Hilburn, 2013: Observed trends in the Great Plains low-level jet and associated precipitation changes in relation to recent droughts. Geophys. Res. Lett., 40, 6247-6251, doi:10.1002/2013GL058296.
3. Bintanja, R., and F. M. Selten, 2014: Future increases in Arctic precipitation linked to local evaporation and sea-ice retreat. Nature, 509, 479-482, doi:10.1038/nature13259.
4. Bintanja, R., R. G. Graversen, and W. Hzeleger, 2011: Arctic winter warming amplified by the thermal inversion and consequent low infrared cooling to space. Nat. Geosci., 4, 758-761, doi:10.1038/ngeo1285.
5. Blamey, R. C., and C. J. C. Reason, 2012: Mesoscale convective complexes over southern Africa. J. Climate, 25, 753-766, doi:10.1175/JCLI-D-10-05013.1.
6. Bock, O., and Coauthors, 2013: Accuracy assessment of water vapour measurements from in situ and remote sensing techniques during the DEMEVAP 2011 campaign at OHP. Amer. Meas. Tech., 6, 2777-2802, doi:10.5194/amt-6-2777-2013.
7. Boé, J., A. Hall, and X. Qu, 2009: Current GCM's unrealistic negative feedback in the Arctic. J. Climate, 22, 4682-4695, doi:10.1175/2009JCLI2885.1.
8. Bromwich, D., K. M. Hines, and L.-S. Bai, 2009: Development and testing of polar Weather Research and Forecasting model: 2. Arctic Ocean. J. Geophys. Res., 114, D08122, doi:10.1029/ 2008JD010300.
9. Bromwich, D., Y.-H. Kuo, M. Serreze, J. Walsh, L.-S. Bai, M. Barlage, K. Hines, and A. Slater, 2010: Arctic system reanalysis: Call for community involvement. Eos, Trans. Amer. Geophys. Union, 91, 13-14, doi:10.1029/2010EO020001.
10. Chahine, M. T., and Coauthors, 2006: AIRS: Improving weather forecasting and providing new data on greenhouse gases. Bull. Amer. Meteor. Soc., 87, 911-926, doi:10.1175/BAMS-87-7-911.
11. Chaudhuri, A. H., R. M. Ponte, and A. T. Nguyen, 2014: A comparison of atmospheric reanalysis products for the Arctic Ocean and implications for uncertainties in air-sea fluxes. J. Climate, 27, 5411-5421, doi:10.1175/JCLI-D-13-00424.1.
12. Collins, W. D., and Coauthors, 2004: Description of the NCAR Community Atmosphere Model (CAM3). Tech. Rep. NCAR/ TN-4641STR, National Center for Atmospheric Research, Boulder, CO, 266 pp.
13. Cook, K. H., E. K. Vizy, Z. S. Launer, and C. M. Patricola, 2008: Springtime intensification of the Great Plains low-level jet and Midwest precipitation in GCM simulations of the twenty-first century. J.Climate, 21, 6321-6340, doi:10.1175/2008JCLI2355.1.
14. de Boer, G., and Coauthors, 2014: Near-surface meteorology during the Arctic Summer Cloud Ocean Study (ASCOS): Evaluation of reanalyses and global climate models. Atmos. Chem. Phys., 14, 427-445, doi:10.5194/acp-14-427-2014.
15. Dee, D. P., and Coauthors, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553-597, doi:10.1002/ qj.828.
16. Devasthale, A., U. Willén, K.-G. Karlsson, and C. G. Jones, 2010: Quantifying the clear-sky temperature inversion frequency and strength over the Arctic Ocean during summer and winter seasons from AIRS profiles. Atmos. Chem. Phys., 10, 5565- 5572, doi:10.5194/acp-10-5565-2010.
17. Devasthale, A., J. Sedlar, and M. Tjernström, 2011: Characteristics of watervapour inversion observed over the Arctic by Atmopspheric Infrared Sounder (AIRS) and radiosondes. Atmos. Chem. Phys., 11, 9813-9823, doi:10.5194/acp-11-9813-2011.
18. Donlon, C. J., M. Martin, J. D. Stark, J. Roberts-Jones, E. Fiedler, and W. Wimmer, 2012: The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA). Remote Sens. Environ., 116, 140-158, doi:10.1016/j.rse.2010.10.017.
19. Gascard, J.-C., and Coauthors, 2008: Exploring Arctic transpolar drift during dramatic sea ice retreat. Eos, Trans. Amer. Geophys. Union, 89, 21-22, doi:10.1029/2008EO030001.
20. Glisan, J. M., and W. J. Gutowski Jr., 2014: WRF summer extreme daily precipitation over the CORDEX Arctic. J. Geophys. Res. Atmos., 119, 1720-1732, doi:10.1002/2013JD020697.
21. Grell, G. A., and D. Dévényi, 2002: A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys. Res. Lett., 29, doi:10.1029/ 2002GL015311.
22. Han, J., and H.-L. Pan, 2011: Revision of convection and vertical diffusion schemes in the NCEP Global Forecast System. Wea. Forecasting, 26, 520-533, doi:10.1175/WAF-D-10-05038.1.
23. Hines, K. M., and D. H. Bromwich, 2008: Development and testing of Polar Weather Research and Forecasting (WRF) Model. Part I: Greenland ice sheet meteorology. Mon. Wea. Rev., 136, 1971-1989, doi:10.1175/2007MWR2112.1.
24. Holtslag, A. A. M., and Coauthors, 2013: Stable atmospheric boundary layers and diurnal cycles: Challenges for weather and climate models. Bull. Amer. Meteor. Soc., 94, 1691-1706, doi:10.1175/BAMS-D-11-00187.1.
25. Hong, S.-Y., Y. Noh, and J. Dudhia, 2006: A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Wea. Rev., 134, 2318-2341, doi:10.1175/MWR3199.1.
26. Hu, X.-M., P. M. Klein, and M. Xue, 2013: Evaluation of the updated YSU planetary boundary layer scheme within WRF for wind resource and air quality assessments. J. Geophys. Res. Atmos., 118, 10 490-10 505, doi:10.1002/jgrd.50823.
27. Inoue, J., M. E. Hori, T. Enomoto, and T. Kikuchi, 2011: Intercomparison of surface heat transfer near the Arctic Marginal Ice Zone for multiple reanalysis: A case study of September 2009. SOLA, 7, 57-60, doi:10.2151/sola.2011-015.
28. Jakobson, E., T. Vihma, T. Palo, L. Jakobson, H. Keernik, and J. Jaagus, 2012: Validation of atmospheric reanalyses over the central Arctic Ocean. Geophys. Res. Lett., 39, L10802, doi:10.1029/2012GL051591.
29. Jakobson, L., T. Vihma, E. Jakobson, T. Palo, A. Männik, and J. Jaagus, 2013: Low-level jet characteristics over the Arctic Ocean in spring and summer. Atmos. Chem. Phys., 13, 11 089- 11 099, doi:10.5194/acp-13-11089-2013.
30. Janjić, Z. I., 1994: The step-mountain Eta coordinate model: Further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon. Wea. Rev., 122, 927-945, doi:10.1175/1520-0493(1994)122<0927:TSMECM>2.0.CO;2.
31. Janjić, Z. I., 2002: Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso model. NCEP Office Note 437, National Centers for Environmental Prediction, Camp Springs, MD, 61 pp.
32. Kahl, J. D., 1990: Characteristics of the low-level temperature inversion along the Alaskan Arctic coast. Int. J. Climatol., 10, 537-548, doi:10.1002/joc.3370100509.
33. Kay, J. E., and A. Gettelman, 2009: Cloud influence on and response to seasonal Arctic sea ice loss. J. Geophys. Res., 114, D18204, doi:10.1029/2009JD011773.
34. Kay, J. E., and T. L'Ecuyer, 2013: Observational constraints on Arctic Ocean clouds and radiative fluxes during the early 21st century. J. Geophys. Res. Atmos., 118, 7219-7236, doi:10.1002/ jgrd.50489.
35. Lindsay, R., M. Wensnahan, A. Schweiger, and J. Zhang, 2014: Evaluation of seven different atmospheric reanalysis products in the Arctic. J. Climate, 27, 2588-2606, doi:10.1175/ JCLI-D-13-00014.1.
36. Liu, Z., R. Marchand, and T. Ackerman, 2010: A comparison of observations in the tropical western Pacific from ground-based and satellite millimeter-wavelength cloud radars. J. Geophys. Res., 115, D24206, doi:10.129/2009JD013575.
37. Lüpkes, C., T. Vihma, E. Jakobson, G. König-Langlo, and A. Tetzlaff, 2010: Meteorological observations from ship cruises during summer to the centralArctic:Acomparison with reanalysis data. Geophys. Res. Lett., 37, L09810, doi:10.1029/ 2010GL042724.
38. Maddox, R. A., 1983: Large-scale meteorological conditions associated with midlatitude, mesoscale convective complexes. Mon. Wea. Rev., 111, 1475-1493, doi:10.1175/ 1520-0493(1983)111<1475:LSMCAW>2.0.CO;2.
39. Mahrt, L., 1999: Stratified atmospheric boundary layers. Bound.- Layer Meteor., 90, 375-396, doi:10.1023/A:1001765727956.
40. Maslanik, J., and J. Stroeve, cited 1999: Near-real-time DMSP SSM/I-SSMIS daily polar gridded sea ice concentrations.NASA DAACat theNational Snow and IceData Center, Boulder, CO. [Available online at http://nsidc.org/data/nsidc-0081.]
41. Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A. Clough, 1997: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J. Geophys. Res., 102, 16 663-16 682, doi:10.1029/ 97JD00237.
42. Morrison, H., G. Thompson, and V. Tatarskii, 2009: Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: Comparison of oneand two-moment schemes. Mon. Wea. Rev., 137, 991-1007, doi:10.1175/2008MWR2556.1.
43. Morrison, H., G. de Boer, G. Feingold, J. Harrington, and M. D. Shupe, 2011: Resilience of persistent Arctic mixed-phase clouds. Nat. Geosci., 5, D16207, doi:10.1038/NGEO1132.
44. National Centers for Environmental Prediction, cited 2000: NCEP FNL operational model global tropospheric analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. [Available online at http://rda. ucar.edu/datasets/ds083.2.]
45. Nilsson, E. D., 1996: Planetary boundary layer structure and air mass transport during the International Arctic Ocean Expedition 1991. Tellus, 48B, 178-196, doi:10.1034/j.1600-0889.1996.t01-1-00004.x.
46. Nunalee, C. G., and S. Basu, 2014: Mesoscale modeling of coastal low-level jets: Implications for offshore wind resource estimation. Wind Energy, 17, 1199-1216, doi:10.1002/we.1628.
47. Ohmura, A., 2001: Physical basis for the temperature-based meltindex method. J. Appl. Meteor., 40, 753-761, doi:10.1175/ 1520-0450(2001)040<0753:PBFTTB>2.0.CO;2.
48. Pavelsky, T. M., J. Boé, and A. Hall, 2011: Atmospheric inversion strength over polar oceans in winter regulated by sea ice. Climate Dyn., 36, 945-955, doi:10.1007/s00382-010-0756-8.
49. Pithan, F., and T. Mauritsen, 2013: Comments on "Current GCMs' unrealistic negative feedback in the Arctic." J. Climate, 26, 7783-7788, doi:10.1175/JCLI-D-12-00331.1.
50. ReVelle, D. O., and E. D. Nilsson, 2008: Summertime low-level jets over the high-latitude Arctic Ocean. J. Appl. Meteor. Climatol., 47, 1770-1784, doi:10.1175/2007JAMC1637.1.
51. Sandu, I., A. Beljaars, P. Bechtold, T. Mauritsen, and G. Balsamo, 2013: Why is it so difficult to represent stably stratified conditions in numerical weather prediction (NWP) models? J. Adv. Model. Earth Syst., 5, 117-133, doi:10.1002/jame.20013.
52. Schweiger, A. J., R. W. Lindsay, S. Vavrus, and J. A. Francis, 2008: Relationships between Arctic sea ice and clouds during autumn. J. Climate, 21, 4799-4810, doi:10.1175/2008JCLI2156.1.
53. Sedlar, J., M. D. Shupe, and M. Tjernström, 2012: On the relationship between thermodynamic structure and cloud top, and its climate significance in the Arctic. J. Climate, 25, 2374- 2393, doi:10.1175/JCLI-D-11-00186.1.
54. Serreze, M. C., R. C. Schnell, and J. D. Kahl, 1992: Low-level temperature inversions of the Eurasian Arctic and comparisons with Soviet drifting station data. J. Climate, 5, 615-629, doi:10.1175/1520-0442(1992)005<0615:LLTIOT>2.0.CO;2.
55. Serreze, M. C., R. G. Barry, and J. E. Walsh, 1995: Arctic water vapor characteristics at 70°N. J. Climate, 8, 719-731, doi:10.1175/1520-0442(1995)008<0719:AWVCA>2.0.CO;2.
56. Serreze, M. C., M. M. Holland, and J. Stroeve, 2007: Perspectives on the Arctic's shrinking sea-ice cover. Science, 315, 1533-1536, doi:10.1126/science.1139426.
57. Skamarock, W. C., and J. B. Klemp, 2008: A time-split nonhydrostatic atmospheric model for weather research and forecasting applications. J. Comput. Phys., 227, 3465-3485, doi:10.1016/j.jcp.2007.01.037.
58. Solomon, A., M. D. Shupe, P. O. G. Persson, and H. Morrison, 2011: Moisture and dynamical interactions maintaining decoupled Arctic mixed-phase stratocumulus in the presense of a humidity inversion. Atmos. Chem. Phys., 11, 10 127-10 148, doi:10.5194/acp-11-10127-2011.
59. Solomon, A., M. D. Shupe, P. O. G. Persson, H. Morrison, T. Yamaguchi, P. M. Caldwell, and G. de Boer, 2014: The sensitivity of springtime Arctic mixed-phase stratocumulus clouds to surface-layer and cloud-top inversionlayer moisture sources. J. Atmos. Sci., 71, 574-595, doi:10.1175/JAS-D-13-0179.1.
60. Stensrud, D. J., 1996: Importance of low-level jets to climate:Areview. J. Climate, 9, 1698-1711, doi:10.1175/1520-0442(1996)009<1698: IOLLJT>2.0.CO;2.
61. Sterk, H. A. M., G. J. Steeneveld, and A. A. M. Holtslag, 2013: The role of snow-surface coupling, radiation, and turbulent mixing in modeling a stable boundary layer over Arctic sea ice. J. Geophys. Res. Atmos., 118, 1199-1217, doi:10.1002/jgrd.50158.
62. Storm, B., J. Dudhia, S. Basu, A. Swift, and I. Giammanco, 2009: Evaluation of the Weather Research and Forecasting Model on forecasting low-level jets: Implication for wind energy. Wind Energy, 12, 81-90, doi:10.1002/we.288.
63. Svensson, G., and A. A. M. Holtslag, 2009: Analysis of model results for the turning of the wind and related momentum fluxes in the stable boundary layer. Bound.-Layer Meteor., 132, 261- 277, doi:10.1007/s10546-009-9395-1.
64. Tao, W.-K., J. Simpson, and M. McCumber, 1989: An ice-water saturation adjustment. Mon. Wea. Rev., 117, 231-235, doi:10.1175/1520-0493(1989)117<0231:AIWSA>2.0.CO;2.
65. Tastula, E.-M., T. Vihma, and E. L Andreas, 2012: Evaluation of Polar WRF from modeling the atmospheric boundary layer over Antarctic sea ice in autumn and winter. Mon. Wea. Rev., 140, 3919-3935, doi:10.1175/MWR-D-12-00016.1.
66. Tjernström, M., and R. G. Graversen, 2009: The vertical structure of the lower Arctic troposphere analysed from observations and the ERA-40 reanalysis. Quart. J. Roy. Meteor. Soc., 135, 431-443, doi:10.1002/qj.380.
67. Tjernström, M., C. Leck, P. O. G. Persson, M. L. Jensen, S. P. Oncley, and A. Targino, 2004: The summertime Arctic atmosphere: meteorological measurements during the Arctic Ocean Experiment 2001. Bull. Amer. Meteor. Soc., 85, 1305-1321, doi:10.1175/ BAMS-85-9-1305.
68. Tjernström, M., and Coauthors, 2014: The Arctic Summer Cloud Ocean Study (ASCOS): Overview and experimental design. Atmos. Chem. Phys., 14, 2823-2869, doi:10.5194/acp-14-2823-2014.
69. Uttal, T., and Coauthors, 2002: Surface Heat Budget of the Arctic Ocean. Bull. Amer. Meteor. Soc., 83, 255-275, doi:10.1175/1520-0477(2002)083<0255:SHBOTA>2.3.CO;2.
70. Wang, M., and J. E. Overland, 2009: A sea ice free summer Arctic within 30 years. Geophys. Res. Lett., 36, L07502, doi:10.1029/ 2009GL037820.
71. Wesslén, C.,M. Tjernström, D. H. Bromwich, G. de Boer, A. M. L. Ekman, L.-S. Bai, and S.-H.Wang, 2014: The Arctic summer atmosphere: An evaluation of reanalysis using ASCOS data. Atmos. Chem. Phys., 14, 2605-2624, doi:10.5194/acp-14-2605-2014.
72. Wilks, D., 1997: Resampling hypothesis tests for autocorrelated fields. J. Climate, 10, 65-82, doi:10.1175/1520-0442(1997)010<0065: RHTFAF>2.0.CO;2.
73. Wilson, A. B., D. H. Bromwich, and K. M. Hines, 2011: Evaluation of polar WRF forecasts on the Arctic System Reanalysis domain: Surface and upper air analysis. J. Geophys. Res., 116, D11112, doi:10.1029/2010JD015013.
74. Wilson, A. B., D. H. Bromwich, and K. M. Hines, 2012: Evaluation of polar WRF forecasts on the Arctic System Reanalysis domain: 2. atmospheric hydrologic cycle. J. Geophys. Res., 117, D04107, doi:10.1029/ 2011JD016765.
75. Zhang, Y., and S. A. Klein, 2010: Mechanisms affecting the transition from shallow to deep convection over land: Inferences from observations of the diurnal cycle collected at the ARM Southern Great Plains site. J. Atmos. Sci., 67, 2943-2959, doi:10.1175/2010JAS3366.1.
76. Zhang, Y.,and D. J. Seidel, 2011: Climatological characteristics of Arctic and Anatactic surface-based inversions. J. Climate, 24, 5167- 5186, doi:10.1175/2011JCLI4004.1.
77. Zib, B. J., X. Dong, B. Xi, and A. Kennedy, 2012: Evaluation and intercomparison of cloud fraction and radiative fluxes in recent reanalyses over the Arctic using BSRN surface observations. J. Climate, 25, 2291-2305, doi:10.1175/JCLI-D-11-00147.1.
78. Zygmuntowska,M., T.Mauritsen, J.Quaas, and L.Kaleschke, 2012: Arctic clouds and surface radiation-A critical comparison of satellite retrievals and the ERA-Interim reanalysis. Atmos. Chem. Phys., 12, 6667-6677, doi:10.5194/acp-12-6667-2012.