Impact of irrigation methods on land surface model spinup and initialization of WRF forecasts

Journal of Hydrometeorology

Volumn 16, Issue 3, 2015, Pages 1135-1154

  Lawston, Patricia M ^a,b   Santanello, Joseph A ^b   Zaitchik, Benjamin F ^c   Rodell, Matthew ^b  

^a UNIVERSITY OF DELAWARE   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

^c JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Atmosphere land interaction; Coupled models; Land surface model

Indexed keywords

ATMOSPHERE-BIOSPHERE INTERACTION; ATMOSPHERIC MODELING; BOUNDARY LAYER; IRRIGATION; LAND INFORMATION SYSTEM; SOIL MOISTURE; WEATHER FORECASTING;

GREAT PLAINS; UNITED STATES;

EID: 84941273996     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-14-0203.1     Document Type: Article

References (57)

1. Adegoke, J. O., R. A. Pielke Sr., J. Eastman, R. Mahmood, and K. G. Hubbard, 2003: Impact of irrigation on midsummer surface fluxes and temperature under dry synoptic conditions: A regional atmospheric model study of the U.S. high plains. Mon. Wea. Rev., 131, 556-564, doi:10.1175/1520-0493(2003)131,0556: IOIOMS.2.0.CO;2.
2. Adegoke, J. O., R. A. Pielke Sr., and A. M. Carleton, 2007: Observational and modeling studies of the impacts of agriculture-related land use change on planetary boundary layer processes in the central U.S. Agric. For. Meteor., 142, 203-215, doi:10.1016/ j.agrformet.2006.07.013.
3. Betts, A. K., 1992: FIFE atmospheric boundary layer budget methods. J. Geophys. Res., 97, 18 523-18 531, doi:10.1029/ 91JD03172.
4. Bonfils, C., and D. Lobell, 2007: Empirical evidence for a recent slowdown in irrigation-induced cooling. Proc. Natl. Acad. Sci. USA, 104, 13582-13587, doi:10.1073/pnas.0700144104.
5. Boucher, O., G. Myhre, and A. Myhre, 2004: Direct human influence of irrigation on atmospheric water vapour and climate. Climate Dyn., 22, 597-603, doi:10.1007/s00382-004-0402-4.
6. Brakke, T. W., S. B. Verma, and N. J. Rosenberg, 1978: Local and regional components of sensible heat advection. J. Appl. Meteor., 17, 955-963, doi:10.1175/1520-0450(1978)017,0955: LARCOS.2.0.CO;2.
7. Chase, T. N., R. A. Piekle Sr., T. G. F. Kittel, J. S. Baron, and T. J. Stohlgren, 1999: Potential impacts on Colorado RockyMountain weather due to land use changes on the adjacent Great Plains. J. Geophys. Res., 104, 16 673-16 690, doi:10.1029/1999JD900118.
8. Chen, F., and Coauthors, 1996: Modeling of land surface evaporation by four schemes and comparison with FIFE observations. J.Geophys. Res., 101, 7251-7268, doi:10.1029/95JD02165.
9. 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, doi:10.1175/JAM2463.1.
10. DeAngelis, A., F. Dominguez, Y. Fan, A. Robock, M. D. Kustu, and D. Robinson, 2010: Evidence of enhanced precipitation due to irrigation over the Great Plains of the United States. J. Geophys. Res., 115, D15115, doi:10.1029/2010JD013892.
11. Developmental Testbed Center, 2013: Model Evaluation Tools version 4.1 (METv4.1) user's guide. Developmental Testbed Center, Boulder, CO, 226 pp. [Available online at www.dtcenter.org/ met/users/docs/users_guide/MET_Users_Guide_v4.1.pdf.]
12. Douglas, E. M.,D. Niyogi, S. Frolking, J. B. Yeluripati, R.A. Pielke Sr., N. Niyogi, C. J. Vörösmarty, and U. C. Mohanty, 2006: Changes in moisture and energy fluxes due to agricultural land use and irrigation in the Indian monsoon belt. Geophys. Res. Lett., 33, L14403, doi:10.1029/2006GL026550.
13. Evans, J. P., and B. F. Zaitchik, 2008: Modeling the large-scale water balance impact of different irrigation systems. Water Resour. Res., 44, W08448, doi:10.1029/2007WR006671.
14. Harding, K. J., and P. K. Snyder, 2012a: Modeling the atmospheric response to irrigation in the Great Plains. Part I: General impacts on precipitation and the energy budget. J. Hydrometeor., 13, 1667-1686, doi:10.1175/JHM-D-11-098.1.
15. Harding, K. J., and P. K. Snyder, 2012b: Modeling the atmospheric response to irrigation in theGreat Plains. Part II: The precipitation of irrigated water and changes in precipitation recycling. J. Hydrometeor., 13, 1687-1703, doi:10.1175/JHM-D-11-099.1.
16. Huber, D., D. Mechem, and N. Brunsell, 2014: The effects of Great Plains irrigation on the surface energy balance, regional circulation, and precipitation. Climate, 2, 103-128, doi:10.3390/ cli2020103.
17. Hutson, S. S., N. L. Barber, J. F. Kenny, K. S. Linsey, D. S. Lumia, and M. A. Maupin, 2004: Estimated use of water in the United States in 2000. USGS Circular 1268, 46 pp. [Available online at http://pubs.usgs.gov/circ/2004/circ1268/.]
18. Im, E., M. P. Marcella, and E. A. B. Eltahir, 2014: Impact of potential large-scale irrigation on the West African monsoon and its dependence on location of irrigated area. J. Climate, 27, 994-1009, doi:10.1175/JCLI-D-13-00290.1.
19. Irmak, A., I. Ratcliffe, P. Ranade, K. Hubbard, R. K. Singh, B. Kamble, and J. Kjaersgaard, 2011: Estimation of land surface evapotranspiration with a satellite remote sensing procedure. Great Plains Res., 21, 73-88.
20. 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.
21. Jiang, L., E. Ma, and X. Deng, 2014: Impacts of irrigation on the heat fluxes and near-surface temperature in an inland irrigation area of northern China. Energies, 7, 1300-1317, doi:10.3390/ en7031300.
22. Koster, R. D., P. A. Dirmeyer, A. N. Hahmann, R. Ijpelaar, L. Tyahla, P. Cox, and M. J. Suarez, 2002: Comparing the degree of land-atmosphere interaction in four atmospheric general circulation models. J. Hydrometeor., 3, 363-375, doi:10.1175/ 1525-7541(2002)003,0363:CTDOLA.2.0.CO;2.
23. Kueppers, L. M., and M. A. Snyder, 2012: Influence of irrigated agriculture on diurnal surface energy and water fluxes, surface climate, and atmospheric circulation in California. Climate Dyn., 38, 1017-1029, doi:10.1007/s00382-011-1123-0.
24. Kueppers, L. M., and M. A. Snyder, and L. C. Sloan, 2007: Irrigation cooling effect: Regional climate forcing by land-use change. Geophys. Res. Lett., 34, L03703, doi:10.1029/2006GL028679.
25. Kueppers, L. M., and Coauthors, 2008: Seasonal temperature responses to land-use change in the western United States. Global Planet. Change, 60, 250-264, doi:10.1016/j.gloplacha.2007.03.005.
26. 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.
27. Kumar, S. V., C. D. Peters-Lidard, J. Santanello, K. Harrison, Y. Liu, and M. Shaw, 2012: Land Surface Verification Toolkit (LVT)-A generalized framework for land surface model evaluation. Geosci. Model Dev., 5, 869-886, doi:10.5194/gmd-5-869-2012.
28. Lawrence, D. M., and J. M. Slingo, 2005: Weak land-atmosphere coupling strength in HadAM3: The role of soil moisture variability. J. Hydrometeor., 6, 670-680, doi:10.1175/JHM445.1.
29. Leng, G., M. Huang, Q. Tang, H. Gao, and L. R. Leung, 2014: Modeling the effects of groundwater-fed irrigation on terrestrial hydrology over the conterminous United States. J. Hydrometeor., 15, 957-972, doi:10.1175/JHM-D-13-049.1.
30. Lo, M.-H., and J. S. Famiglietti, 2013: Irrigation in California's Central Valley strengthens the southwestern U.S. water cycle. Geophys. Res. Lett., 40, 301-306, doi:10.1002/grl.50108.
31. Lobell, D., G. Bala, A. Mirin, T. Phillips, R. Maxwell, and D. Rotman, 2009: Regional differences in the influence of irrigation on climate. J. Climate, 22, 2248-2255, doi:10.1175/ 2008JCLI2703.1.
32. Mahmood, R., T. Keeling, S. A. Foster, and K. G. Hubbard, 2013: Did irrigation impact 20th century air temperature in the high plains aquifer region? Appl. Geogr., 38, 11-21, doi:10.1016/ j.apgeog.2012.11.002.
33. Mesinger, F., and Coauthors, 2006: North American Regional Reanalysis. Bull. Amer. Meteor. Soc., 87, 343-360, doi:10.1175/BAMS-87-3-343.
34. Moore, N., and S. Rojstaczer, 2002: Irrigation's influence on precipitation: Texas high plains, U.S.A. Geophys. Res. Lett., 29, doi:10.1029/2002GL014940.
35. NASS, 2009: 2007 census of agriculture: Farm and ranch irrigation survey (2008). Vol. 3, Special Studies, Part 1, Rep. AC-070SS-1, National Agricultural Statistics Service, USDA, 268 pp. [Available online at www.agcensus.usda.gov/Publications/2007/Online_Highlights/Farm_and_Ranch_Irrigation_Survey/.]
36. Oke, T. R., 1978: Boundary Layer Climates. Wiley, 372 pp.
37. Ozdogan, M., and G. Gutman, 2008: A new methodology to map irrigated areas using multi-temporal MODIS and ancillary data: An application example in the continental US. Remote Sens. Environ., 112, 3520-3537, doi:10.1016/j.rse.2008.04.010.
38. Ozdogan, M., and G. Gutman, M. Rodell, H. K. Beaudoing, and D. L. Toll, 2010: Simulating the effects of irrigation over theUnited States in a land surfacemodel based on satellite-derived agricultural data. J. Hydrometeor., 11, 171-184, doi:10.1175/2009JHM1116.1.
39. Peters-Lidard, C. D., and Coauthors, 2015: Integrated modeling of aerosol, cloud, precipitation and land processes at satelliteresolved scales. Environ. Modell. Software, 67, 149-159, doi:10.1016/j.envsoft.2015.01.007.
40. Pokhrel, Y., N. Hanasaki, S. Koirala, J. Cho, P. J.-F. Yeh, H. Kim, S. Kanae, and T. Oki, 2012: Incorporating anthropogenic water regulation modules into a land surface model. J. Hydrometeor., 13, 255-269, doi:10.1175/JHM-D-11-013.1.
41. Qian, Y., M. Huang, B. Yang, and L. K. Berg, 2013: A modeling study of irrigation effects on surface fluxes and land-air-cloud interactions in the southern Great Plains. J. Hydrometeor., 14, 700-721, doi:10.1175/JHM-D-12-0134.1.
42. Santanello, J. A., C. D. Peters-Lidard, S. V. Kumar, C. Alonge, and W.-K. Tao, 2009: A modeling and observational framework for diagnosing local land-atmosphere coupling on diurnal time scales. J. Hydrometeor., 10, 577-599, doi:10.1175/ 2009JHM1066.1.
43. Santanello, J. A., C. D. Peters-Lidard, S. V. Kumar, C. Alonge, and W.-K. Tao 2011a: 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.
44. Santanello, J. A., and Coauthors, 2011b: Results fromLocal Land-Atmosphere Coupling (LoCo) Project. GEWEX News, Vol. 21, No. 4, International GEWEX Project Office, Silver Spring, MD, 7-9. [Available online at www.gewex.org/gewexnews/Nov2011.pdf.]
45. Santanello, J. A., S. V. Kumar, C. D. Peters-Lidard, K. Harrison, and S. Zhou, 2013a: Impact of landmodel calibration on coupled land-atmosphere prediction. J. Hydrometeor., 14, 1373-1400, doi:10.1175/JHM-D-12-0127.1.
46. Santanello, J. A., C. D. Peters-Lidard, A. Kennedy, and S. V. Kumar, 2013b: Diagnosing the nature of land-atmosphere coupling: A case study of dry/wet extremes in the U.S. southern Great Plains. J. Hydrometeor., 14, 3-24, doi:10.1175/JHM-D-12-023.1.
47. Segal, M., Z. Pan, R. W. Turner, and E. S. Takle, 1998: On the potential impact of irrigated areas in North America on summer rainfall caused by large-scale systems. J. Appl.Meteor., 37, 325-331, doi:10.1175/1520-0450-37.3.325.
48. Sivaraman, C., S. McFarlane, E. Chapman, M. Jensen, T. Toto, S. Liu, andM. Fischer, 2013: Planetary boundary layer (PBL) height value added product (VAP): Radisonde retrievals. U.S. DOE Rep. DOE/SC-ARM/TR-132, 36 pp. [Available online at www.arm.gov/publications/tech_reports/doe-sc-armtr-132.pdf?id592.]
49. Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, W. Wang, and J. G. Powers, 2005: Adescription of the Advanced Research WRF version 2. NCAR Tech. Note NCAR/TN-4681STR, 88 pp., doi:10.5065/D6DZ069T.
50. Sorooshian, S., J. Li, K. Hsu, and X. Gao, 2011: How significant is the impact of irrigation on the local hydroclimate in California's Central Valley? Comparison of model results with ground and remote-sensing data. J. Geophys. Res., 116, D06102, doi:10.1029/2010JD014775.
51. Sorooshian, S., J. B. Klemp, J. Dudhia, and D. O. Gill, 2012: Influence of irrigation schemes used in regional climate models on evapotranspiration estimation: Results and comparative studies from California's Central Valley agricultural regions. J. Geophys. Res., 117, D06107, doi:10.1029/ 2011JD016978.
52. Tang, Q., S. Peterson, R. H. Cuenca, Y. Hagimoto, and D. P. Lettenmaier, 2009: Satellite-based near-real-time estimation of irrigated crop water consumption. J. Geophys. Res., 114, D05114, doi:10.1029/2008JD010854.
53. Tuinenburg, O. A., R. W. A. Hutjes, T. Stacke, A. Wiltshire, and P. Lucas-Picher, 2014: Effects of irrigation in India on the atmospheric water budget. J. Hydrometeor., 15, 1028-1050, doi:10.1175/JHM-D-13-078.1.
54. Vahmani, P., and T. S. Hogue, 2014: Incorporating an urban irrigation module into the Noah land surface model coupled with an urban canopy model. J. Hydrometeor., 15, 1440-1456, doi:10.1175/JHM-D-13-0121.1.
55. Wei, J., P. A. Dirmeyer, D. Wisser, M. G. Bosilovich, and D. M. Mocko, 2013: Where does the irrigation water go? An estimate of the contribution of irrigation to precipitation usingMERRA. J. Hydrometeor., 14, 275-289, doi:10.1175/JHM-D-12-079.1.
56. Yilmaz, M. T., M. C. Anderson, B. Zaitchik, C. R. Hain, W. T. Crow, M. Ozdogan, J. A. Chun, and J. Evans, 2014: Comparison of prognostic and diagnostic surface flux modeling approaches over the Nile River basin. Water Resour. Res., 50, 386-408, doi:10.1002/2013WR014194.
57. Zaitchik, B. F., J. Evans, and R. B. Smith, 2005: MODIS-derived boundary conditions for a mesoscale climate model: Application to irrigated agriculture in the Euphrates basin. Mon. Wea. Rev., 133, 1727-1743, doi:10.1175/MWR2947.1.