Revisiting hydrometeorology using cloud and climate observations

Journal of Hydrometeorology

Volumn 18, Issue 4, 2017, Pages 939-955

  Betts, Alan K ^a   Tawfik, Ahmed B ^b   Desjardins, Raymond L ^c  

^a Atmospheric Research   (United States)

^b NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^c AGRICULTURE AND AGRI FOOD CANADA   (Canada)

Author keywords

Atmosphere land interaction; Climatology; Cloud cover; Hydrometeorology; Radiative forcing; Snow cover

Indexed keywords

AIR-SOIL INTERACTION; ATMOSPHERIC CONVECTION; CLIMATOLOGY; CLOUD COVER; HYDROMETEOROLOGY; OBSERVATIONAL METHOD; PRECIPITATION (CLIMATOLOGY); RADIATIVE FORCING; SNOW COVER;

CANADA; PRAIRIE PROVINCES;

EID: 85017387637     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-16-0203.1     Document Type: Article

References (31)

1. Baldocchi, D. D., 2003: Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: Past, present and future. Global Change Biol., 9, 479-492, doi:10.1046/j.1365-2486.2003.00629.x.
2. Betts, A. K., 2004: Understanding hydrometeorology using global models. Bull. Amer. Meteor. Soc., 85, 1673-1688, doi:10.1175/BAMS-85-11-1673.
3. Betts, A. K., and J. C. Chiu, 2010: Idealized model for changes in equilibrium temperature, mixed layer depth, and boundary layer cloud over land in a doubled CO2 climate. J. Geophys. Res., 115, D19108, doi:10.1029/2009JD012888.
4. Betts, A. K., and A. B. Tawfik, 2016: Annual climatology of the diurnal cycle on the Canadian Prairies. Front. Earth Sci., 4, doi:10.3389/feart.2016.00001.
5. Betts, A. K., 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.
6. Betts, A. K., B. Helliker, and J. Berry, 2004: Coupling between CO2, water vapor, temperature and radon and their fluxes in an idealized equilibrium boundary layer over land. J. Geophys. Res., 109, D18103, doi:10.1029/2003JD004420.
7. Betts, A. K., R. Desjardins, and D. Worth, 2013a: Cloud radiative forcing of the diurnal cycle climate of the Canadian Prairies. J. Geophys. Res. Atmos., 118, 8935-8953, doi:10.1002/jgrd.50593.
8. Betts, A. K., R. Desjardins, D. Worth, and D. Cerkowniak, 2013b: Impact of land use change on the diurnal cycle climate of the Canadian Prairies. J. Geophys. Res. Atmos., 118, 11 996-12 011, doi:10.1002/2013JD020717.
9. Betts, A. K., R. Desjardins, D. Worth, and B. Beckage, 2014a: Climate coupling between temperature, humidity, precipitation and cloud cover over the Canadian Prairies. J. Geophys. Res. Atmos., 119, 13 305-13 326, doi:10.1002/2014JD022511.
10. Betts, A. K., R. Desjardins, D. Worth, S. Wang, and J. Li, 2014b: Coupling of winter climate transitions to snow and clouds over the Prairies. J. Geophys. Res. Atmos., 119, 1118-1139, doi:10.1002/2013JD021168.
11. Betts, A. K., R. Desjardins, A. C. M. Beljaars, and A. Tawfik, 2015: Observational study of land-surface-cloud-atmosphere coupling on daily timescales. Front. Earth Sci., 3, doi:10.3389/feart.2015.00013.
12. Betts, A. K., R. Desjardins, and D. Worth, 2016: The impact of clouds, land use and snow cover on climate in the Canadian Prairies. Adv. Sci. Res, 13, 37-42, doi:10.5194/asr-13-37-2016.
13. BSRN, 2016: World Radiation Monitoring Center. Baseline Surface Radiation Network, Accessed 24 August 2016. [Available online at http://bsrn.awi.de/.]
14. Collatz, G. J., J. T. Ball, C. Grivet, and J. A. Berry, 1991: Physiological and environmental regulation of stomatal conductance, photosynthesis, and transpiration: A model that includes a laminar boundary layer. Agric. For. Meteor., 54, 107-136, doi:10.1016/0168-1923(91)90002-8.
15. Dai, A., K. E. Trenberth, and T. R. Karl, 1999: Effects of clouds, soil moisture, precipitation, and water vapor on diurnal temperature range. J. Climate, 12, 2451-2473, doi:10.1175/1520-0442(1999)012<2451:EOCSMP>2.0.CO;2.
16. Ek, M. B., and A. A. M. Holtslag, 2004: Influence of soil moisture on boundary layer cloud development. J. Hydrometeor., 5, 86-99, doi:10.1175/1525-7541(2004)005<0086:IOSMOB>2.0.CO;2.
17. Fennessy, M. J., and J. Shukla, 1999: Impact of initial soil wetness on seasonal atmospheric prediction. J. Climate, 12, 3167-3180, doi:10.1175/1520-0442(1999)012<3167:IOISWO>2.0.CO;2.
18. Ferguson, C. R., E. F. Wood, and R. K. Vinukollu, 2012: A global intercomparison of modeled and observed land-atmosphere coupling. J. Hydrometeor., 13, 749-784, doi:10.1175/JHM-D-11-0119.1.
19. Kim, Y., and G. Wang, 2007: Impact of initial soil moisture anomalies on subsequent precipitation over North America in the coupled land-atmosphere model CAM3-CLM3. J. Hydrometeor., 8, 513-533, doi:10.1175/JHM611.1.
20. Koster, R. D., and M. J. Suarez, 2001: Soil moisture memory in climate models. J. Hydrometeor., 2, 558-570, doi:10.1175/1525-7541(2001)002<0558:SMMICM>2.0.CO;2.
21. Koster, R. D., and S. P. P. Manahama, 2012: Land surface controls on hydroclimatic means and variability. J. Hydrometeor., 13, 1604-1619, doi:10.1175/JHM-D-12-050.1.
22. Koster, R. D., and Coauthors, 2010: Contribution of land surface initialization to subseasonal forecast skill: First results from a multi-model experiment. Geophys. Res. Lett., 37, L02402, doi:10.1029/2009GL041677.
23. Koster, R. D., and Coauthors, 2011: The Second Phase of the Global Land-Atmosphere Coupling Experiment: Soil moisture contributions to subseasonal forecast skill. J. Hydrometeor., 12, 805-822, doi:10.1175/2011JHM1365.1.
24. Monteith, J. L., 1977: Climate and the efficiency of crop production in Britain. Philos. Trans. Roy. Soc. London, 281B, 277-294, doi:10.1098/rstb.1977.0140.
25. Pal, J. S., and E. A. B. Eltahir, 2001: Pathways relating soil moisture conditions to future summer rainfall within a model of the land-atmosphere system. J. Climate, 14, 1227-1241, doi:10.1175/1520-0442(2001)014<1227:PRSMCT>2.0.CO;2.
26. Tuttle, S., and G. Salvucci, 2016: Empirical evidence of contrasting soil moisture-precipitation feedbacks across the United States. Science, 352, 825-828, doi:10.1126/science.aaa7185.
27. Van den Hurk, B., F. Doblas-Reyes, G. Balsamo, R. D. Koster, S. I. Seneviratne, and H. Camargo Jr., 2012: Soil moisture effects on seasonal temperature and precipitation forecast scores in Europe. Climate Dyn., 38, 349-362, doi:10.1007/s00382-010-0956-2.
28. Webb, M. J., and Coauthors, 2006: On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles. Climate Dyn., 27, 17-38, doi:10.1007/s00382-006-0111-2.
29. Webb, M. J., F. H. Lambert, and J. M. Gregory, 2013: Origins of differences in climate sensitivity, forcing and feedback in climate models. Climate Dyn., 40, 677-707, doi:10.1007/s00382-012-1336-x.
30. Wu, W., R. E. Dickinson, H. Wang, Y. Liu, and M. Shaikha, 2007: Covariabilities of spring soil moisture and summertime United States precipitation in a climate simulation. Int. J. Climatol., 27, 429-438, doi:10.1002/joc.1419.
31. Xie, S., and Coauthors, 2010:ARM climate modeling best estimate data: A new data product for climate studies. Bull. Amer. Meteor. Soc., 91, 13-20, doi:10.1175/2009BAMS2891.1.