Modifications to the Rapid Update Cycle land surface model (RUC LSM) available in the weather research and forecasting (WRF) model

Monthly Weather Review

Volumn 144, Issue 5, 2016, Pages 1851-1865

  Smirnova, Tatiana G ^a,b   Brown, John M ^a   Benjamin, Stanley G ^a   Kenyon, Jaymes S ^a,b  

^a NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^b Cooperative Institute for Research in Environmental Sciences ^*  (United States)

Author keywords

Forecasting; Land surface model; Models and modeling; Numerical weather prediction forecasting

Indexed keywords

FORECASTING; LAND USE; SEA ICE; SNOW; SOIL MOISTURE; SURFACE MEASUREMENT;

ENVIRONMENTAL PREDICTION; LAND SURFACE MODELING; LAND-SURFACE PROCESS; LOWER BOUNDARY CONDITIONS; NUMERICAL WEATHER PREDICTION/FORECASTING; RAPID UPDATE CYCLE MODELS; RAPID UPDATE CYCLES; WEATHER RESEARCH AND FORECASTING MODELS;

WEATHER FORECASTING;

ATMOSPHERIC MODELING; LAND SURFACE; MODIS; NUMERICAL MODEL; WEATHER FORECASTING;

EID: 84966297190     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-15-0198.1     Document Type: Article

References (32)

1. Barlage, M., X. Zeng, H. Wei, and K. E. Mitchell, 2005: A global 0.05° maximum albedo dataset of snow-covered land based on MODIS observations. Geophys. Res. Lett., 32, L17405, doi:10.1029/2005GL022881
2. Benjamin, S. G., and Coauthors, 2004a: An hourly assimilation-forecast cycle: The RUC. Mon. Wea. Rev., 132, 495-518, doi:10.1175/1520-0493(2004)132<0495:AHACTR>2.0.CO;2
3. Benjamin, S. G., G. A. Grell, J. M. Brown, T. G. Smirnova, and R. Bleck, 2004b: Mesoscale weather prediction with the RUC hybrid isentropic/terrain-following coordinate model. Mon. Wea. Rev., 132, 473-494, doi:10.1175/1520-0493(2004)132<0473: MWPWTR>2.0.CO;2
4. Benjamin, S. G., and Coauthors, 2007: From the radar-enhanced RUC to the WRF-based Rapid Refresh. Preprints, 22nd Conf. on Weather Analysis and Forecasting/18th Conf. on Numerical Weather Prediction, Park City, UT, Amer. Meteor. Soc., J3.4. [Available online at https://ams.confex.com/ams/22WAF18NWP/techprogram/paper_124827.htm.]
5. Benjamin, S. G., and Coauthors, 2016: A North American hourly assimilation and model forecast cycle: The rapid refresh. Mon. Wea. Rev., in press
6. Berbery, E. H., K. Mitchell, S. Benjamin, T. Smirnova, H. Ritchie, R. Hogue, and E. Radeva, 1999: Assessment of land-surface energy budgets from regional and global models. J. Geophys. Res., 104, 19329-19348, doi:10.1029/1999JD900128
7. Best, M. J., and Coauthors, 2015: The plumbing of land surface models: Benchmarking model performance. J. Hydrometeor., 16, 1425-1442, doi:10.1175/JHM-D-14-0158.1
8. Eggleston, K. O., E. K. Israelsen, and J. P. Riley, 1971: Hybrid computer simulation of the accumulation and melt processes in a snowpack. Utah Water Research Laboratory, Paper 501, 77 pp. [Available online at http://digitalcommons.usu.edu/water_rep/501.]
9. Essery, R. L. H., and Coauthors, 2009: SnowMIP2: An evaluation of forest snow process simulations. Bull. Amer. Meteor. Soc., 90, 1120-1135, doi:10.1175/2009BAMS2629.1
10. Etchevers, P., and Coauthors, 2002: SnowMIP, an intercomparison of snow models: First results. Proc. Int. Snow Science Workshop, Penticton, BC, Canada, 353-360. [Available online at http://arc.lib.montana.edu/snow-science/objects/issw-2002-353-360.pdf.]
11. Etchevers, P., and Coauthors, 2004: Validation of the surface energy budget simulated by several snow models. Ann. Glaciol., 38, 150-158, doi:10.3189/172756404781814825
12. Hansen, M. C., R. S. DeFries, J. R.G. Townshend, and R. Sohlberg, 2000: Global land cover classification at 1 km spatial resolution using a classification tree approach. Int. J. Remote Sens., 21, 1331-1364, doi:10.1080/014311600210209
13. Hansen, M. C., R. S. DeFries, J. R.G. Townshend, L. Marufu, and R. Sohlberg, 2002a: Development of a MODIS tree cover validation data set for Western Province, Zambia. Remote Sens. Environ., 83, 320-335, doi:10.1016/S0034-4257(02)00080-9
14. Hansen, M. C., R. S. DeFries, J. R.G. Townshend, R. A. Sohlberg, C. Dimiceli, and M. Carroll, 2002b: Towards an operational MODIS continuous field of percent tree cover algorithm: Examples using AVHRR and MODIS data. Remote Sens. Environ., 83, 303-319, doi:10.1016/S0034-4257(02)00079-2
15. Helfrich, S. R., D. McNamara, B. H. Ramsay, T. Baldwin, and T. Kasheta, 2007: Enhancements to, and forthcoming developments in the Interactive Multisensor Snow and Ice Mapping System (IMS). Hydrol. Processes, 21, 1576-1586, doi:10.1002/hyp.6720
16. Kumar, S. V., and Coauthors, 2006: Land Information System-An interoperable framework for high resolution land surface modeling. Environ. Model. Softw., 21, 1402-1415, doi:10.1016/j.envsoft.2005.07.004
17. Luo, L., and Coauthors, 2003: Effects of frozen soil on soil temperature, spring infiltration, and runoff: Results from the PILPS 2(d) experiment at Valdai, Russia. J. Hydrometeor., 4, 334-351, doi:10.1175/1525-7541(2003)4<334: EOFSOS>2.0.CO;2
18. Petzold, R. E., 1977: An estimation technique for snow surface albedo. Climatol. Bull., 21, 1-11. [Available online at http://www.cmosarchives.ca/CB/cb110101.pdf.]
19. Robinson, D. A., and G. Kukla, 1985: Maximum surface albedo of seasonally snow-covered lands in the Northern Hemisphere. J. Climate Appl. Meteor., 24, 402-411, doi:10.1175/1520-0450(1985)024<0402:MSAOSS>2.0.CO;2
20. Robock, A., 1980: The seasonal cycle of snow cover, sea ice and surface albedo. Mon. Wea. Rev., 108, 267-285, doi:10.1175/1520-0493(1980)108<0267:TSCOSC>2.0.CO;2
21. Rutter, N., and Coauthors, 2009: Evaluation of forest snow processes models (SnowMIP2). J. Geophys. Res., 114, D06111, doi:10.1029/2008JD011063
22. Schlosser, C. A., A. Robock, K. Y. Vinnikov, N. A. Speranskaya, and Y. Xue, 1997: 18-year land surface hydrology model simulations for a midlatitude grassland catchment in Valdai, Russia. Mon. Wea. Rev., 125, 3279-3296, doi:10.1175/1520-0493(1997)125<3279:YLSHMS>2.0.CO;2
23. Skamarock, W., J. B. Klemp, J. Dudhia, D. O. Gill, D. Barker, M. G. Duda, X.-Y. Huang, and W. Wang, 2008: A description of the Advanced Research WRF version 3. NCAR Tech. Note NCAR/TN-4751STR, doi:10.5065/D68S4MVH
24. Slater, A. G., and Coauthors, 2001: The representation of snow in land surface schemes: Results from PILPS 2(d). J. Hydrometeor., 2, 7-25, doi:10.1175/1525-7541(2001)002<0007: TROSIL>2.0.CO;2
25. Smirnova, T. G., J. M. Brown, and S. G. Benjamin, 1997: Performance of different soil model configurations in simulating ground surface temperature and surface fluxes. Mon. Wea. Rev., 125, 1870-1884, doi:10.1175/1520-0493(1997)125<1870: PODSMC>2.0.CO;2
26. Smirnova, T. G., J. M. Brown, and D. Kim, 2000: Parameterization of cold-season processes in the MAPS land-surface scheme. J. Geophys. Res., 105, 4077-4086, doi:10.1029/1999JD901047
27. Smith, T. L., S. G. Benjamin, J. M. Brown, S. Weygandt, T. Smirnova, and B. Schwartz, 2008: Convection forecasts from the hourly updated, 3-km High Resolution Rapid Refresh (HRRR) Model. Preprints, 24th Conf. on Severe Local Storms, Savannah, GA, Amer. Meteor. Soc., 11.1. [Available online at https://ams.confex.com/ams/pdfpapers/142055.pdf.]
28. Thomas, G., and P. R. Rowntree, 1992: The boreal forests and climate. Quart. J. Roy. Meteor. Soc., 118, 469-497, doi:10.1002/qj.49711850505
29. Tian, Y., Y. Zhang, J. Knyazikhin, R. B. Myneni, J. Glassy, G. Dedieu, and S.W. Running, 2000: Prototyping of MODIS LAI and FPAR algorithm with LASUR and LANDSAT data. IEEE Trans. Geosci. Remote Sens., 38, 2387-2401, doi:10.1109/36.868894
30. Viterbo, P., and A. K. Betts, 1999: Impact on ECMWF forecasts of changes to the albedo of the boreal forests in the presence of snow. J. Geophys. Res., 104, 27803-27810, doi:10.1029/1998JD200076
31. Wang, W., and Coauthors, 2014: User's Guide for the Advanced Research WRF (ARW) Modeling System version 3.6. UCAR, 428 pp. [Available online at http://www2.mmm.ucar.edu/wrf/users/docs/user_guide_V3/contents.html.]
32. Zubov, N. N., 1963: Arctic Ice. U.S. Navy Electronics Laboratory, 510 pp