Development and testing of polar WRF. Part III: Arctic land

Journal of Climate

Volumn 24, Issue 1, 2011, Pages 26-48

  Hines, Keith M ^a   Bromwich, David H ^a   Bai, Le Sheng ^a   Barlage, Michael ^b   Slater, Andrew G ^c  

^a OHIO STATE UNIVERSITY   (United States)

^b NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^c UNIVERSITY OF COLORADO   (United States)

Author keywords

Arctic; Land surface model; Model evaluation performance; Parameterization; Regional models

Indexed keywords

ARCTIC; ARCTIC SYSTEM REANALYSIS; ATMOSPHERIC HYDROLOGY; BOUNDARY LAYER PROCESS; HEAT CONDUCTIVITY; HIGH RESOLUTION; LAND AREAS; LAND SURFACE MODELS; NEAR SURFACE TEMPERATURE; NEAR-SURFACE; NORTH SLOPE OF ALASKA; POLAR CLIMATES; REDUCED SOILS; REGIONAL MODEL; SEASONAL CYCLE; SHORT-WAVE RADIATION; SIMULATION RESULT; SNOWMELT; SOIL TEMPERATURE; SPIN-UP; SUMMER CLOUD; TURBULENCE PARAMETERIZATION; VERTICAL MIXING; WARM TEMPERATURES; WEATHER RESEARCH AND FORECASTING MODELS;

ATMOSPHERIC BOUNDARY LAYER; ATMOSPHERIC TEMPERATURE; HEAT FLUX; MOISTURE; PARAMETERIZATION; SOILS; SURFACE MEASUREMENT; WEATHER FORECASTING;

CLIMATE MODELS;

CLIMATE PREDICTION; CLIMATOLOGY; COMPUTER SIMULATION; NUMERICAL MODEL; PARAMETERIZATION; PERFORMANCE ASSESSMENT; REGIONAL CLIMATE; SENSITIVITY ANALYSIS; WEATHER FORECASTING;

ALASKA; ARCTIC; NORTH SLOPE; UNITED STATES;

EID: 79251580355     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010JCLI3460.1     Document Type: Article

References (78)

1. Ackerman, T., and G. Stokes, 2003: The Atmospheric Radiation Measurement Program. Phys. Today, 56, 38-45.
2. Barker, D. M., W. Huang, Y.-R. Guo, A. J. Bourgeois, and Q. N. Xiao, 2004: A three-dimensional variational data assimilation system for MM5: Implementation and initial results. Mon. Wea. Rev., 132, 897-914.
3. Bromwich, D. H., J. J. Cassano, T. Klein, G. Heinemann, K. M. Hines, K. Steffen, and J. E. Box, 2001: Mesoscale modeling of katabatic winds over Greenland with the Polar MM5. Mon. Wea. Rev., 129, 2290-2309.
4. Bromwich, D. H., A. J. Monaghan, J. G. Powers, J. J. Cassano, H.-L. Wei, Y.-H. Kuo, and A. Pellegrini, 2003: Antarctic Mesoscale PredictionSystem (AMPS):Acase studyfromthe 2000-01field season. Mon. Wea. Rev., 131, 412-434.
5. Bromwich, D. H., L. Bai, and G. G. Bjarnason, 2005a: High-resolution regional climate simulations over Iceland using Polar MM5. Mon. Wea. Rev., 133, 3527-3547.
6. Bromwich, D. H., E. R. Toracinta, R. J. Oglesby, J. L. Fastook, and T. J. Hughes, 2005b: LGM summer climate on the southern margin of the Laurentide Ice Sheet: Wet or dry? J. Climate, 18, 3317-3338.
7. Bromwich, D. H., R. L. Fogt, K. E. Hodges, and J. E. Walsh, 2007: A tropospheric assessment of the ERA-40, NCEP, and JRA-25 global reanalyses in the polar regions. J. Geophys. Res., 112, D10111, doi:10.1029/2006JD007859.
8. Bromwich, D. H., K. M. Hines, and L.-S. Bai, 2009: Developments and testing of Polar Weather Research and Forecasting model: 2. Arctic Ocean. J. Geophys. Res., 114, D08122, doi:10.1029/2008JD010300.
9. Bromwich, D. H., Y.-H. Kuo, M. C. Serreze, J. E. Walsh, L. S. Bai, M. Barlage, K. M. Hines, and A. S. Slater, 2010: Arctic system reanalysis: Call for community involvement. Eos, Trans. Amer. Geophys. Union, 91, doi:10.1029/2010EO020001.
10. Cavalieri, D., M. Thorsten, and J. Comiso, 2004: AMSR-E/Aqua Daily L3 25 km brightness temperature and sea ice concentration polar grids V002. National Snow and Ice Data Center, Boulder, CO, digital media. [Available online at http://nsidc.org/data/docs/daac/ae_si25_25km_tb_and_sea_ice.gd.html.]
11. Chapin, F. S., III, and Coauthors, 2000: Arctic and boreal ecosystems of western North America as components of the climate system. Global Change Biol., 6, 211-223.
12. Chapin, F. S., III, and Coauthors, 2005: Role of land-surface changes in Arctic summer warming. Science, 310, 657-660.
13. Chen, F., and Coauthors, 2007: Description and evaluation of the characteristics of the NCAR High-Resolution Land Data Assimilation system. J. Appl. Meteor. Climatol., 46, 694-713.
14. Dong, X., and G. G. Mace, 2003: Arctic stratus cloud properties and radiative forcing derived from ground-based data collected at Barrow, Alaska. J. Climate, 16, 445-461.
15. Doran, J. C., S. Zhong, J. C. Liljegren, and C. Jakob, 2002: A comparison of cloud properties at a coastal and inland site at the North Slope of Alaska. J. Geophys. Res., 107, 4120, doi:10.1029/2001JD000819.
16. Doran, J. C., J. C. Barnard, and W. J. Shaw, 2006: Modification of summertime Arctic cloud characteristics between a coastal and inland site. J. Climate, 19, 3207-3219.
17. Ek, M. B., K. E. Mitchell, Y. Lin, E. Rogers, P. Grunmann, V. Koren, G. Gayno, and J. D. Tarpley, 2003: Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model. J. Geophys. Res., 108, 8851, doi:10.1029/2002JD003296.
18. Ellingson, R. G., K. Stamnes, J. A. Curry, J. E. Walsh, and B. D. Zak, 1999: Overview of North Slope of Alaska/adjacent Arctic Ocean science issues. J. Climate, 12, 46-63.
19. Essery, R., and P. Etchevers, 2004: Parameter sensitivity in simulations of snowmelt. J. Geophys. Res., 109, D20111, doi:10.1029/2004JD005036.
20. Euskirchen, E. S., A. D. McGuire, F. S. Chapin III, S. Yi, and C. C. Thompson, 2009: Changes in vegetation in northern Alaska under scenarios of climate change, 2003-2100: Implications for climate feedbacks. Ecol. Appl., 19, 1022-1043.
21. Fogt, R. L., and D. H. Bromwich, 2008: Atmospheric moisture and cloud cover characteristics forecast by AMPS. Wea. Forecasting, 23, 914-930.
22. Giorgi, F., M. R. Marinucci, and G. T. Bates, 1993: Development of a second-generation regional climate model (RegCM2). Part I: Boundary-layer and radiative transfer processes. Mon. Wea. Rev., 121, 2794-2813.
23. Global Climate and Weather Modeling Branch, 2003: The GFS atmospheric model. NCEP Office Note 442, 14 pp. [Available online at http://www.emc.ncep.noaa.gov/officenotes/newernotes/on442.pdf.]
24. Grell, G. A., and D. Dévényi, 2002: A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys. Res. Lett., 29, 1693, doi:10.1029/2002GL015311.
25. Guo, Z., D. H. Bromwich, and J. J. Cassano, 2003: Evaluation of Polar MM5 simulations of Antarctic atmospheric circulation. Mon. Wea. Rev., 131, 384-411.
26. Harazono, Y., M. Yoshimoto, M. Mano, G. L. Vourlitis, and W. C. Oechel, 1998: Characteristics of energy and water budgets over wet sedge and tussock tundra ecosystems at North Slope in Alaska. Hydrol. Processes, 12, 2163-2183.
27. Hines, K. M., and D. H. Bromwich, 2008: Development and testing of Polar WRF. Part I: Greenland Ice Sheet meteorology. Mon. Wea. Rev., 136, 1971-1989.
28. Hollingsworth, J., 2005: Bonanza Creek Experimental Forest: Hourly temperature (sample, min, max) at 50 cm and 150 cm from 1988 to present. Bonanza Creek LTER - University of Alaska Fairbanks. BNZ:1. [Available online at http://www.lter.uaf.edu/data_detail.cfm?datafile_pkey51.]
29. Janjić, Z. I., 2002: Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso model. NCEP Office Note 437, 61 pp.
30. Jones, B. M., C. A. Kolden, R. Jandt, J. T. Abatzoglou, F. Urban, and C. D. Arp, 2009: Fire behavior, weather, and burn severity of the 2007 Anaktuvuk River tundra fire, North Slope, Alaska. Arct. Antarct. Alp. Res., 41, 309-316, doi:10.1657/1938-4246-41.3.309.
31. Juday, G. P., and Coauthors, 2005: Forests, land management, and agriculture. Arctic Climate Impact Assessment, C. Symon, L. Arris, and B. Heal, Eds., Cambridge University Press, 781-862.
32. Kane, D. L., and W. S. Reeburgh, 1998: Introduction to the special section: Land-Air-Ice Interactions (LAII) Flux Study. J. Geo-phys. Res., 103, 28 913-28 915.
33. Kane, D. L., J. P. McNamara, D. Yang, P. Q. Olsson, and R. E. Gieck, 2003: An extreme rainfall/runoff event in arctic Alaska. J. Hydrometeor., 4, 1220-1228.
34. Kay, J. E., T. L'Ecuyer, A. Gettelman, G. Stephens, and C. O'Dell, 2008: The contribution of cloud and radiation anomalies to the 2007 Arctic sea ice extent minimum. Geophys. Res. Lett., 35, L08503, doi:10.1029/2008GL033451.
35. Lawrence, D. M., and A. G. Slater, 2005: A projection of severe near-surface permafrost degradadation during the 21st century. J. Geophys. Res. Lett., 32, L24401, doi:10.1029/2005GL025080.
36. Lawrence, D. M., and A. G. Slater, 2008: Incorporating organic soil into a global climate model. Climate Dyn., 30, 145-160, doi:10.1007/s00382-007-0278-1.
37. Lawrence, D. M., A. G. Slater, R. A. Tomas, M. M. Holland, and C. Deser, 2008: Accelerated Arctic land warming and permafrost degradation during rapid sea ice loss. Geophys. Res. Lett., 35, L11506, doi:10.1029/2008GL033985.
38. Lee, M. S., 2005: Preliminary tests of First Guess at Appropriate Time(FGAT)with WRF 3DVAR and WRF model. J. Korean Meteor. Soc., 41, 495-505.
39. Ling, F., and T. Zhang, 2004: A numerical model for surface energy balance and thermal regime of the active layer and permafrost containing unfrozen water. Cold Reg. Sci. Technol., 38, 1-15.
40. Ling, F., and T. Zhang, 2006: Sensitivity of ground thermal regime and surface energy fluxes to tundra snow density in northern Alaska. Cold Reg. Sci. Technol., 44, 121-130.
41. Livneh, B., Y. Xia, K. E. Mitchell, M. B. Ek, and D. P. Lettenmaier, 2010: Noah LSM snow model diagnostics and enhancements. J. Hydrometeor., 11, 721-738.
42. Lloyd, A., and A. Bunn, 2007: Response of the circumpolar boreal forest to 20th century climate variability. Environ. Res. Lett., 2, 045013, doi:10.1088/1748-9326/2/4/045013.
43. Lynch, A. H., W. L. Chapman, J. E. Walsh, and G. Weller, 1995: Development of a regional climate model of the western Arctic. J. Climate, 8, 1555-1570.
44. Lynch, A. H., D. L. McGinnis, and D. A. Bailey, 1998: Snow-albedo feedback and the spring transition in a regional climate system model: Influence of land surface model. J. Geophys. Res., 103, 29 037-29 049.
45. Lynch, A. H., G. B. Bonan, F. S. Chapin III, and W. Wu, 1999a: Impact of tundra ecosystems on the surface energy budget and climate of Alaska. J. Geophys. Res., 104, 6647-6660.
46. Lynch, A. H., F. S. Chapin III, L. D. Hinzman, W. Wu, E. Lilly, G. Vourlitis, and E. Kim, 1999b: Surface energy balance on the Arctic tundra: Measurements and models. J. Climate, 12, 2585-2606.
47. Lynch, A. H., A. G. Slater, and M. Serreze, 2001: The Alaskan Arctic frontal zone: Forcing by orography, coastal contrast, and the boreal forest. J. Climate, 14, 4351-4362.
48. Marshall, S., and R. J. Oglesby, 1994: An improved snow hydrology for GCMs. Part 1: Snow cover fraction, albedo, grain size, and age. Climate Dyn., 10, 21-37.
49. McFarlane, S. A., Y. Shi, and C. N. Long, 2009: A year of radiation measurements at the North Slope of Alaska. ARM and Climate Change Prediction Program Metric Rep. DOE/SC-ARM/P-09-010, 7 pp. [Available online at http://www.arm.gov/publications/programdocs/doe-sc-arm-p-09-010.pdf.]
50. McGuire, A. D., M. Sturm, and F. S. Chapin III, 2003: Arctic Transitions in the Land-Atmosphere System (ATLAS): Background, objectives, results, and future directions. J. Geophys. Res., 108, 8166, doi:10.1029/2002JD002367.
51. Mölders, N., and G. Kramm, 2010: A case study on wintertime inversions in interior Alaska with WRF. Atmos. Res., 95, 314-332.
52. Mölders, N., H. Luijting, and K. Sassen, 2008: Use of Atmospheric Radiation Measurement program data from Barrow, Alaska, for evaluation and development of snow-albedo parameterizations. Meteor. Atmos. Phys., 99, 199-219.
53. Morrison, H., J. A. Curry, and V. I. Khvorostyanov, 2005: A new double-moment microphysics parameterization for application in cloud and climate models. Part I: Description. J. Atmos. Sci., 62, 1665-1677.
54. Onogi, K., and Coauthors, 2007: The JRA-25 Reanalysis. J. Meteor. Soc. Japan, 85, 369-432.
55. Perovich, D. K., S. V. Nghiem, T. Markus, and A. Schweiger, 2007: Seasonal evolution and interannual variability of the local solar energy absorbed by the Arctic sea ice-ocean system. J. Geophys. Res., 112, C03005, doi:10.1029/2006JC003558.
56. Powers, J. G., A. J. Monaghan, A. M. Cayette, D. H. Bromwich, Y.-H. Kuo, and K. W. Manning, 2003: Real-time mesoscale modeling over Antarctica: The Antarctic Mesoscale Prediction System (AMPS). Bull. Amer. Meteor. Soc., 84, 1533-1545.
57. Rinke, A., and Coauthors, 2006: Evaluation of an ensemble of Arctic regional climate models: Spatiotemporal fields during the SHEBA year. Climate Dyn., 26, 459-472, doi:10.1007/s00382-005-0095-3.
58. Roberts, A., and Coauthors, 2009: Science plan for Arctic system modeling. National Science Foundation Office of Polar Programs Rep., 53 pp. [Available online at http://research.iarc.uaf.edu/presentations/ASM_08/ASM_Science_Plan_draft_02Dec08.doc.]
59. Schweiger, A. J., J. Zhang, R. W. Lindsay, and M. Steele, 2008: Did unusually sunny skies help drive the record sea ice minimum of 2007? Geophys. Res. Lett., 35, L10503, doi:10.1029/2008GL033463.
60. Serreze, M. C., D. H. Bromwich, M. P. Clark, A. J. Etringer, T. Zhang, and R. Lammers, 2002: Large-scale hydro-climatology of the terrestrial Arctic drainage system. J. Geophys. Res., 108, 8160, doi:10.1029/2001JD000919.
61. Shulski, M., and G. Wendler, 2007: The Climate of Alaska. University of Alaska Press, 216 pp.
62. Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, W. Wang, and J. G. Powers, 2005: A description of the Advanced Research WRF Version 2. NCAR Tech. Note NCAR/TN-4681STR, 88 pp. [Available from UCAR Communications, P.O. Box 3000, Boulder, CO 80307.]
63. Skamarock, W. C., and Coauthors, 2008: A description of the Advanced Research WRF Version 3. NCAR Tech. Note NCAR/TN-4751STR, 125 pp. [Available online at http://www.mmm.ucar.edu/wrf/users/docs/arw_v3.pdf.]
64. Slater, A. G., T. J. Bohn, J. L. McCreight, M. C. Serreze, and D. P. Lettenmeier, 2007: A multimodel simulationof pan-Arctic hydrology. J. Geophys. Res., 112, G04S45, doi:10.1029/2006JG000303.
65. Spreen, G., L. Kaleschke, and G. Heygster, 2008: Sea ice remote sensing using AMSR-E 89-GHz channels. J. Geophys. Res., 113, C02S03, doi:10.1029/2005JC003384.
66. Stafford, J. M., G. Wendler, and J. Curtis, 2000: Temperature and precipitation of Alaska 50 year trend analysis. Theor. Appl. Climatol., 67, 33-44.
67. Stone, R. S., E. G. Dutton, J. M. Harris, and D. Longenecker, 2002: Earlier spring snowmelt in northern Alaska as an indicator of climate change. J. Geophys. Res., 107, 4089, doi:10.1029/2000JD000286.
68. Stroeve, J., M. M. Holland, W. Meier, T. Scambos, and M. Serreze, 2007: Arctic sea ice decline: Faster than forecast. Geophys. Res. Lett., 34, L09501, doi:10.1029/2007GL029703.
69. Stroeve, J., M. Serreze, S. Drobot, S. Gearheard, M. Holland, J. Maslanik, W. Meier, and T. Scambos, 2008: Arctic sea ice extent plummets in 2007. Eos, Trans. Amer. Geophys. Union, 89, doi:10.1029/2008EO020001.
70. Tjernström, M., and Coauthors, 2005: Modelling the Arctic boundary layer: An evaluation of six ARCMIP regional-scale models with data from the SHEBA project. Bound.-Layer Meteor., 117, 337-381.
71. Uttal, T., and Coauthors, 2002: Surface heat budget of the Arctic Ocean. Bull. Amer. Meteor. Soc., 83, 255-275.
72. Walsh, J. E., W. L. Chapman, V. Romanovsky, J. H. Christensen, and M. Stendel, 2008: Global climate model performance over Alaska and Greenland. J. Climate, 21, 6156-6174.
73. Walsh, J. E., W. L. Chapman, and D. Portis, 2009: Arctic cloud fraction and radiative fluxes in atmospheric reanalyses. J. Climate, 22, 2316-2334.
74. Warren, S. G., 1982: Optical properties of snow. Rev. Geophys. Space Phys., 20, 67-89.
75. Wendler, G., and F. Eaton, 1990: Surface radiation budget at Barrow, Alaska. Theor. Appl. Climatol., 41, 107-115.
76. Wilson, A. B., 2010: Enhancement of Polar WRF atmospheric and surface processes: An annual simulation. M.S. thesis, Dept. of Geography, The Ohio State University, 171 pp. [Available online at http://etd.ohiolink.edu/view.cgi?acc_num5osu1268066611.]
77. Zhang, T., R. G. Barry, K. Knowles, J. A. Heginbottom, and J. Brown, 2008: Statistics and characteristics of permafrost and ground-ice distribution in the Northern Hemisphere. Polar Geogr., 31, 47-68.
78. Zimov, S. A., E. A. Schuur, and F. S. Chapin III, 2006: Permafrost and the global carbon budget. Science, 312, 1612-1613.