Scale dependence of land-atmosphere interactions in wet and dry regions as simulated with NU-WRf over the southwestern and South-Central United States

Journal of Hydrometeorology

Volumn 17, Issue 8, 2016, Pages 2121-2136

  Zhou, Yaping ^a,b   Wu, Di ^c   Lau, William K M ^d   Tao, Wei Kuo ^a  

^a MORGAN STATE UNIVERSITY   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

^c SCIENCE SYSTEMS AND APPLICATIONS INC   (United States)

^d UNIVERSITY OF MARYLAND   (United States)

Author keywords

Atmosphere land interaction; Feedback; Hydrometeorology; Land surface model; Models and modeling; Moisture moisture budget; Physical meteorology and climatology; Regional models

Indexed keywords

AIR-SOIL INTERACTION; ATMOSPHERIC FORCING; ATMOSPHERIC MOISTURE; CLIMATOLOGY; COMPUTER SIMULATION; EL NINO-SOUTHERN OSCILLATION; HYDROMETEOROLOGY; LAND SURFACE; METEOROLOGY; PRECIPITATION INTENSITY; REGIONAL CLIMATE; SOIL MOISTURE;

UNITED STATES;

EID: 84984666924     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-16-0024.1     Document Type: Article

References (83)

1. Barnston, A. G., M. H. Glantz, and Y. He, 1999: Predictive skill of statistical and dynamical climate models in SST forecasts during the 1997-98 El Niño episode and the 1998 La Niña onset. Bull. Amer. Meteor. Soc., 80, 217-243, doi:10.1175/1520-0477(1999)080<0217:PSOSAD>2.0.CO;2.
2. Barros, A. P., and W. Hwu, 2002: A study of land-atmosphere interactions during summertime rainfall using a mesoscale model. J. Geophys. Res., 107, 4227, doi:10.1029/2000JD000254.
3. Beljaars, A. C. M., P. Viterbo, M. J. Miller, and A. K. Betts, 1996: The anomalous rainfall over the United States during July 1993: Sensitivity to land surface parameterization. Mon. Wea. Rev., 124, 362-383, doi:10.1175/1520-0493(1996)124<0362: TAROTU>2.0.CO;2.
4. Betts, A. K., 2009: Land-surface-atmosphere coupling in observations and models. J. Adv. Model. Earth Syst., 1, doi:10.3894/JAMES.2009.1.4.
5. Betts, A. K., and J. H. Ball, 1998: FIFE surface climate and site-average dataset 1987-89. J. Atmos. Sci., 55, 1091-1108, doi:10.1175/1520-0469(1998)055<1091:FSCASA>2.0.CO;2.
6. Betts, A. K., and J. H. Ball, A. C. M. Beljaars, M. J. Miller, and P. Viterbo, 1996: The land surface-atmosphere interaction: A review based on observational and global modeling perspectives. J. Geophys. Res., 101, 7209-7225, doi:10.1029/95JD02135.
7. Betts, R. A., P. M. Cox, S. E. Lee, and F. I. Woodward, 1997: Contrasting physiological and structural vegetation feedbacks in climate change simulations. Nature, 387, 796-799, doi:10.1038/42924.
8. Bosilovich, M. G., and S. D. Schubert, 2002: Water vapor tracers as diagnostics of the regional hydrologic cycle. J. Hydrometeor., 3, 149-165, doi:10.1175/1525-7541(2002)003<0149:WVTADO>2.0.CO;2.
9. Bosilovich, M. G., and J. Chern, 2006: Simulation of water sources and precipitation recycling for the MacKenzie, Mississippi, and Amazon River basins. J. Hydrometeor., 7, 312-329, doi:10.1175/JHM501.1.
10. Brimelow, J. C., J. M. Hanesiak, and W. R. Burrows, 2011a: Impacts of land-atmosphere feedbacks on deep, moist convection on the Canadian Prairies. Earth Interact., 15, doi:10.1175/2011EI407.1.
11. Brimelow, J. C., J. M. Hanesiak, and W. R. Burrows, 2011b: On the surface-convection feedback during drought periods on the Canadian Prairies. Earth Interact., 15, doi:10.1175/2010EI381.1.
12. Brubaker, K. L.,D. Entekhabi, and P. S. Eagleson, 1993: Estimation of continental precipitation recycling. J. Climate, 6, 1077-1089, doi:10.1175/1520-0442(1993)006<1077:EOCPR>2.0.CO;2.
13. Brubaker, K. L., P. A. Dirmeyer, A. Sudjarat, B. S. Levy, and F. Bernal, 2001: A 36-yr climatological description of the evaporative sources of warm-season precipitation in the Mississippi River basin. J. Hydrometeor., 2, 537-557, doi:10.1175/1525-7541(2001)002<0537:AYCDOT>2.0.CO;2.
14. Budyko, M. I., 1974: Climate and Life. Academic Press, 508 pp.
15. Bukovsky, M. S., D. J. Gochis, and L. O. Mearns, 2013: Towards assessing NARCCAP regional climate model credibility for the North American monsoon: Current climate simulations. J. Climate, 26, 8802-8826, doi:10.1175/JCLI-D-12-00538.1.
16. Charney, J. G., W. J. Quirk, S.-H. Chow, and J. Kornfield, 1977: Comparative study of effects of albedo change on drought in semiarid regions. J. Atmos. Sci., 34, 1366-1385, doi:10.1175/1520-0469(1977)034<1366:ACSOTE>2.0.CO;2.
17. Chin, M., R. B. Rood, S.-J. Lin, J. F. Muller, and A. M. Thomspon, 2000: Atmospheric sulfur cycle in the global model GOCART: Model description and global properties. J. Geophys. Res., 105, 24 671-24 687, doi:10.1029/2000JD900384.
18. Chou, M.-D., and M. J. Suarez, 1999: A shortwave radiation parameterization for atmospheric studies. NASA/TM-1999-104606, Vol. 15, 38 pp. [Available online at http://gmao.gsfc.nasa.gov/pubs/docs/Chou136.pdf.]
19. Conil, S., H. Douville, and S. Tyteca, 2007: The relative influence of soil moisture and SST in climate predictability explored within ensembles of AMIP type experiments. Climate Dyn., 28, 125-145, doi:10.1007/s00382-006-0172-2.
20. Cook, B. I., G. B. Bonan, and S. Levis, 2006: Soil moisture feedbacks to precipitation in South Africa. J. Climate, 19, 4198-4206, doi:10.1175/JCLI3856.1.
21. Dirmeyer, P. A., and K. L. Brubaker, 1999: Contrasting evaporative moisture sources during the drought of 1988 and the flood of 1993. J. Geophys. Res., 104, 19 383-19 397, doi:10.1029/1999JD900222.
22. Dirmeyer, P. A., R. D. Koster, and Z. Guo, 2006: Do global models properly represent the feedback between land and atmosphere? J. Hydrometeor., 7, 1177-1198, doi:10.1175/JHM532.1.
23. Done, J. M., L. R. Leung, C. A. Davis, and Y. H. Kuo, 2005: Simulation of warm season rainfall using WRF Regional Climate Model. 6th WRF/15th MM5 Users' Workshop, Boulder, CO, University Corporation for Atmospheric Research, 9.2. [Available online at http://n2t.net/ark:/85065/d7gb2355.
24. Douville, H., 2002: Influence of soil moisture on the Asian and African monsoons. Part II: interannual variability. J. Climate, 15, 701-720, doi:10.1175/1520-0442(2002)015<0701: IOSMOT>2.0.CO;2.
25. 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.
26. Eltahir, E. A. B., 1998: A soil moisture rainfall feedback mechanism: 1. Theory and observations. Water Resour. Res., 34, 765-776, doi:10.1029/97WR03499.
27. Eltahir, E. A. B., and R. L. Bras, 1994: Precipitation recycling in the Amazon basin. Quart. J. Roy. Meteor. Soc., 120, 861-880, doi:10.1002/qj.49712051806.
28. Grell, G. A., and D. Devenyi, 2002: A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys. Res. Lett., 29, 1693, doi:10.1029/2002GL015311.
29. Guo, Z., and P. A. Dirmeyer, 2013: Interannual variability of land-atmosphere coupling strength. J. Hydrometeor., 14, 1636-1646, doi:10.1175/JHM-D-12-0171.1.
30. Higgins, R. W., Y. Yao, E. S. Yarosh, J. E. Janowiak, and K. C. Mo, 1997: Influence of the Great Plains low-level jet on summertime precipitation and moisture transport over the central United States. J. Climate, 10, 481-507, doi:10.1175/1520-0442(1997)010<0481:IOTGPL>2.0.CO;2.
31. Higgins, R. W., W. Shi, E. Yarosh, and R. Joyce, 2000: Improved United States precipitation quality control system and analysis. NCEP/Climate Prediction Center Atlas 7. [Available online at http://www.cpc.ncep.noaa.gov/products/outreach/research_papers/ncep_cpc_atlas/7/.]
32. Higgins, R. W., Y. Zhou, and H.-K. Kim, 2001: Relationships between El Niño-Southern Oscillation and the Arctic Oscillation: A climate-weather link. NCEP/Climate Prediction Center Atlas 8. [Available online at http://www.cpc.noaa.gov/research_papers/ncep_cpc_atlas/8/toc.html.]
33. Hong, S.-Y., and H.-L. Pan, 1998: Convective trigger function for a mass-flux cumulus parameterization scheme. Mon. Wea. Rev., 126, 2599-2620, doi:10.1175/1520-0493(1998)126<2599: CTFFAM>2.0.CO;2.
34. Horel, J. D., and J. M. Wallace, 1981: Planetary-scale atmospheric phenomena associated with the SouthernOscillation. Mon. Wea. Rev., 109, 813-829, doi:10.1175/1520-0493(1981)109<0813: PSAPAW>2.0.CO;2.
35. Huffman, G. J., and Coauthors, 2007: The TRMM Multi-Satellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined sensor precipitation estimates at fine scales. J. Hydrometeor., 8, 38-55, doi:10.1175/JHM560.1.
36. 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.
37. Joussaume, S., R. Sadourny, and J. Jouzel, 1984: A generalcirculation model of water isotope cycles in the atmosphere. Nature, 311, 24-29, doi:10.1038/311024a0.
38. Kim, W., S.-W. Yeh, J.-H. Kim, J.-S. Kug, and M. Kwon, 2011: The unique 2009-2010 El Niño event: A fast phase transition of warm pool El Niño to La Niña. Geophys. Res. Lett., 38, L15809, doi:10.1029/2011GL048521.
39. Koster, R., J. Jouzel, R. Suozzo, G. Russell, W. Broecker, D. Rind, and P. Eagleson, 1986: Global sources of local precipitation as determined by theNASAGISS GCM. Geophys. Res. Lett., 13, 121-124, doi:10.1029/GL013i002p00121.
40. Koster, R., J, and Coauthors, 2004: Regions of strong coupling between soil moisture and precipitation. Science, 305, 1138-1140, doi:10.1126/science.1100217.
41. Kumar, A., and M. P. Hoerling, 1998: Annual cycle of Pacific-North American seasonal predictability associated with different phases of ENSO. J. Climate, 11, 3295-3308, doi:10.1175/1520-0442(1998)011<3295:ACOPNA>2.0.CO;2.
42. Kumar, S. V., and Coauthors, 2006: Land information system: An interoperable framework for high resolution land surface modeling. Environ.Modell. Software, 21, 1402-1415, doi:10.1016/j.envsoft.2005.07.004.
43. Lang, S., W.-K. Tao, R. Cifelli,W. Olson, J. Halverson, S. Rutledge, and J. Simpson, 2007: Improving simulations of convective system from TRMM LBA: Easterly and westerly regimes. J. Atmos. Sci., 64, 1141-1164, doi:10.1175/JAS3879.1.
44. Lang, S., W.-K. Tao, X. Zeng, and Y. Li, 2011: Reducing the biases in simulated radar reflectivities from a bulk microphysics scheme: Tropical convective systems. J. Atmos. Sci., 68, 2306-2320, doi:10.1175/JAS-D-10-05000.1.
45. Lang, S., W.-K. Tao, J.-D. Chern, D. Wu, and X. Li, 2014: Benefits of a fourth ice class in the simulated radar reflectivities of convective systems using a bulk microphysics scheme. J. Atmos. Sci., 71, 3583-3612, doi:10.1175/JAS-D-13-0330.1.
46. Lintner, B. R., P. Gentine, F. L. Findell, F. D'Andrea, A. H. Sobel, and G. D. Salvucci, 2013: An idealized prototype for largescale land-atmosphere coupling. J. Climate, 26, 2379-2389, doi:10.1175/JCLI-D-11-00561.1.
47. Matsui, T., and Coauthors, 2014: Introducing multi-sensor satellite radiance-based evaluation for regional earth system modeling. J. Geophys. Res. Atmos., 119, 8450-8475, doi:10.1002/2013JD021424.
48. Mearns, L. O., and Coauthors, 2012: The North American Regional Climate Change Assessment Program: Overview of phase I results. Bull. Amer. Meteor. Soc., 93, 1337-1362, doi:10.1175/BAMS-D-11-00223.1.
49. Meehl, G. A., 1994: Influence of the land surface in the Asian summer monsoon: External conditions versus internal feedbacks. J. Climate, 7, 1033-1049, doi:10.1175/1520-0442(1994)007<1033: IOTLSI>2.0.CO;2.
50. Meng, X. H., J. P. Evans, and M. F. McCabe, 2011: Numerical modelling and land-atmosphere feedback of drought in southeast Australia. IAHS Publ., 344, 144-149.
51. Mesinger, F., andCoauthors, 2006:North American Regional Reanalysis. Bull. Amer. Meteor. Soc., 87, 343-360, doi:10.1175/BAMS-87-3-343.
52. Miguez-Macho, G., G. L. Stenchikov, and A. Robock, 2005: Regional climate simulations over North America: Interaction of local processes with improved large-scale flow. J. Climate, 18, 1227-1246, doi:10.1175/JCLI3369.1.
53. Mitchell, K. E., and Coauthors, 2004: The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system. J. Geophys. Res., 109, D07S90, doi:10.1029/2003JD003823.
54. Mo, K. C., and E. H. Berbery, 2004: Low-level jets and the summer precipitation regimes over North America. J. Geophys. Res., 109, D06117, doi:10.1029/2003JD004106.
55. Nicholson, S. E., 2015: Evolution and current state of our understanding of the role played in the climate system by land surface processes in semi-arid regions. Global Planet. Change, 133, 201-222, doi:10.1016/j.gloplacha.2015.08.010.
56. Notaro, M., Z. Liu, and J. W. Williams, 2006: Observed vegetation-climate feedbacks in the United States. J. Climate, 19, 763-786, doi:10.1175/JCLI3657.1.
57. Peters-Lidard, C. D., S. V. Kumar, D.M.Mocko, and Y. Tian, 2011: Estimating evapotranspiration with land data assimilation systems. Hydrol. Processes, 25, 3979-3992, doi:10.1002/hyp.8387.
58. Peters-Lidard, C. D., and Coauthors, 2015: Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales. Environ. Modell. Software, 67, 149-159, doi:10.1016/j.envsoft.2015.01.007.
59. Pielke, R. A., R. L. Walko, L. T. Steyaert, P. L. Vidale, G. E. Liston,W.A. Lyons, and T. N. Chase, 1999: The influence of anthropogenic landscape changes on weather in south Florida. Mon. Wea. Rev., 127, 1663-1673, doi:10.1175/1520-0493(1999)127<1663:TIOALC>2.0.CO;2.
60. Rasmusson, E. M., 1968: Atmospheric water vapor transport and the water balance of North America. Part II: Large-scale water balance investigations. Mon. Wea. Rev., 96, 720-734, doi:10.1175/1520-0493(1968)096<0720:AWVTAT>2.0.CO;2.
61. Pielke, R. A., 1971:Astudy of the hydrology of easternNorthAmerica using atmospheric vapor flux data. Mon. Wea. Rev., 99, 119-135, doi:10.1175/1520-0493(1971)099<0119:ASOTHO>2.3.CO;2.
62. Ropelewski, C. F., and M. S. Halpert, 1986: North American precipitation and temperature patterns associated with the El Niño/Southern Oscillation (ENSO). Mon. Wea. Rev., 114, 2352-2362, doi:10.1175/1520-0493(1986)114<2352:NAPATP>2.0.CO;2.
63. Rowell, D. P., and C. Blondin, 1990: The influence of soil wetness distribution on short-range rainfall forecasting in the West African Sahel. Quart. J. Roy. Meteor. Soc., 116, 1471-1485, doi:10.1002/qj.49711649611.
64. Santanello, J. A., C. D. Peters-Lidard, and S. V. Kumar, 2011: Diagnosing the sensitivity of local land-atmosphere coupling via the soil moisture-boundary layer interaction. J. Hydrometeor., 12, 766-786, doi:10.1175/JHM-D-10-05014.1.
65. Schubert, S. D., M. J. Suarez, P. J. Pegion, R. D. Koster, and J. T. Bacmeister, 2008: Potential predictability of long-term drought and pluvial conditions in the U.S. Great Plains. J. Climate, 21, 802-816, doi:10.1175/2007JCLI1741.1.
66. Seneviratne, S. I., and R. Stöckli, 2008: The role of land-atmosphere interactions for climate variability in Europe. Climate Variability and Extremes during the Past 100 Years, S. Bronnimann et al., Eds., Advances in Global Change Research, Vol. 33, Springer, 179-193, doi:10.1007/978-1-4020-6766-2_12.
67. Seneviratne, S. I., and Coauthors, 2006: Soil moisture memory AGCM simulations: analysis of global land-atmosphere coupling experiment (GLACE) data. J. Hydrometeor., 7, 1090-1112, doi:10.1175/JHM533.1.
68. Seneviratne, S. I., and Coauthors, 2013: Impact of soil moisture-climate feedbacks on CMIP5 projections: First results from the GLACE-CMIP5 experiment. Geophys. Res. Lett., 40, 5212-5217, doi:10.1002/grl.50956.
69. Shukla, J., and Y. Mintz, 1982: The influence of land-surface evapotranspiration on the earth's climate. Science, 215, 1498-1501, doi:10.1126/science.215.4539.1498.
70. 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.
71. Tao, W.-K., and Coauthors, 2003: Microphysics, radiation and surface processes in the Goddard Cumulus Ensemble (GCE) model. Meteor. Atmos. Phys., 82, 97-137.
72. Taylor, C.M., and T. Lebel, 1998: Observational evidence of persistent convective-scale rainfall patterns. Mon. Wea. Rev., 126, 1597-1607, doi:10.1175/1520-0493(1998)126<1597:OEOPCS>2.0.CO;2.
73. Ting, M., and H. Wang, 1997: Summertime U.S. precipitation variability and its relation to Pacific sea surface temperature. J. Climate, 10, 1853-1873, doi:10.1175/1520-0442(1997)010<1853: SUSPVA>2.0.CO;2.
74. Trenberth, K. E., A. Dai, R. M. Rasmussen, and D. B. Parsons, 2003: The changing character of precipitation. Bull. Amer. Meteor. Soc., 84, 1205-1217, doi:10.1175/BAMS-84-9-1205.
75. Wang, H., S. Schubert, R. Koster, Y.-G. Ham, and M. Suarez, 2014: On the role of SST forcing in the 2011 and 2012 extreme U.S. heat and drought: A study in contrasts. J. Hydrometeor., 15, 1255-1273, doi:10.1175/JHM-D-13-069.1.
76. Weaver, C. P., S. B. Roy, and R. Avissar, 2002: Sensitivity of simulated mesoscale atmospheric circulations resulting from landscape heterogeneity to aspects of model configuration. J. Geophys. Res., 107, 8041, doi:10.1029/2001JD000376.
77. Wu, D., C. Peters-Lidard, W.-K. Tao, and W. Peterson, 2016: Evaluation of NU-WRF rainfall forecasts for IFloods. J. Hydrometeor., 17, 1317-1335, doi:10.1175/JHM-D-15-0134.1.
78. Xia, Y., and Coauthors, 2012: Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products. J. Geophys. Res., 117, D03109, doi:10.1029/2011JD016048.
79. Yanai, M., S. Esbensen, and J. H. Chu, 1973: Determination of average bulk properties of tropical cloud clusters from largescale heat and moisture budgets. J. Atmos. Sci., 30, 611-627, doi:10.1175/1520-0469(1973)030<0611:DOBPOT>2.0.CO;2.
80. Zaitchik, B. F., J. P. Evans, R. A. Geerken, and R. B. Smith, 2007: Climate and vegetation in the Middle East: Interannual variability and drought feedbacks. J. Climate, 20, 3924-3941, doi:10.1175/JCLI4223.1.
81. Zaitchik, B. F., J. A. Santanello, S. V. Kumar, and C. D. Peters-Lidard, 2013: Representation of soil moisture feedbacks during drought in NASA Unified WRF (NU-WRF). J. Hydrometeor., 14, 360-367, doi:10.1175/JHM-D-12-069.1.
82. Zangvil, A., D. H. Portis, and P. J. Lamb, 2001: Investigation of the large-scale atmospheric moisture field over the midwestern United States in relation to summer precipitation. Part I: Relationships between moisture budget components on different timescales. J. Climate, 14, 582-597, doi:10.1175/1520-0442(2001)014<0582:IOTLSA>2.0.CO;2.
83. Zhu, C.,R. L. Leung,D.Gochis, Y. Qian, and D. P. Lettenmaier, 2009: Evaluating the influence of antecedent soilmoisture on variability of the North American monsoon precipitation in the coupled MM5/VIC modeling system. J. Adv. Model. Earth Syst., 1, doi:10.3894/JAMES.2009.1.13.