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26 - Seasonal-to-Interannual Variability

from Part VI - Terrestrial Forcings and Feedbacks

Published online by Cambridge University Press:  05 November 2015

Gordon Bonan
Affiliation:
National Center for Atmospheric Research, Boulder, Colorado
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Summary

Chapter Summary

Atmospheric and oceanic processes and their coupling dominate much of the study of seasonal-to-interannual climate variability. However, land surface processes also contribute to climate variability. Soil moisture is a key aspect of seasonal precipitation forecasts. Recycling of precipitation in evapotranspiration can lead to a positive feedback by which wet soils pump more moisture into the atmosphere, which enhances rainfall and further wets the soil. Conversely, dry soils, with low rates of evapotranspiration, can reduce rainfall. The retention of precipitation by soil and the influence of soil moisture on subsequent evapotranspiration contribute to and amplify interannual precipitation variability over tropical and middle latitudes. The presence of snow is also an important initial condition required for accurate forecasts. The high albedo of snow-covered surfaces prevents the surface from warming during the day. On warm days, a large portion of net radiation at the surface is used to melt snow. By cooling the surface and reducing the land–ocean temperature contrast, snow can influence summer precipitation in monsoon climates. The seasonal emergence of leaves in spring imparts a discernible signal to air temperature. Greater latent heat flux with leaf emergence cools air temperature.

Soil Moisture

Soil moisture regulates boundary layer processes through the partitioning of net radiation into sensible and latent heat fluxes (Figure 26.1). Atmospheric model simulations have routinely demonstrated the importance of soil moisture, through its effect on evapotranspiration, for climate simulation (Seneviratne et al. 2010). These simulations typically alter soil moisture or more generally soil wetness (the effect of soil moisture on evapotranspiration). Such studies demonstrate a positive feedback in which wet soils pump more moisture into the atmosphere, which can enhance rainfall and further wet the soil. Conversely, dry soils, with low rates of evapotranspiration, reduce rainfall.

One experimental approach has been to artificially set soil wetness to prescribed values that do not change over time and to contrast climate simulations using wet and dry soils. Shukla and Mintz (1982) used this method to demonstrate the effect of evapotranspiration on climate. Using a global model, they compared a simulation with perpetually dry soils to that with perpetually wet soils.

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Ecological Climatology
Concepts and Applications
, pp. 483 - 499
Publisher: Cambridge University Press
Print publication year: 2015

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References

Bamzai, A. S., and Shukla, J. (1999). Relation between Eurasian snow cover, snow depth, and the Indian summer monsoon: An observational study. Journal of Climate, 12, 3117–3132.2.0.CO;2>CrossRefGoogle Scholar
Barlage, M., Zeng, X., Wei, H., and Mitchell, K. E. (2005). A global 0.05° maximum albedo dataset of snow-covered land based on MODIS observations. Geophysical Research Letters, 32, L17405, doi:10.1029/2005GL022881.CrossRefGoogle Scholar
Barnett, T. P., Dümenil, L., Schlese, U., and Roeckner, E. (1988). The effect of Eurasian snow cover on global climate. Science, 239, 504–507.CrossRefGoogle ScholarPubMed
Barnett, T. P., Dümenil, L., Schlese, U., Roeckner, E., and Latif, M. (1989). The effect of Eurasian snow cover on regional and global climate variations. Journal of the Atmospheric Sciences, 46, 661–685.2.0.CO;2>CrossRefGoogle Scholar
Beljaars, A. C. M., Viterbo, P., Miller, M. J., and Betts, A. K. (1996). The anomalous rainfall over the United States during July 1993: Sensitivity to land surface parameterization and soil moisture anomalies. Monthly Weather Review, 124, 362–383.2.0.CO;2>CrossRefGoogle Scholar
Betts, A. K. (2004). Understanding hydrometeorology using global models. Bulletin of the American Meteorological Society, 85, 1673–1688.CrossRefGoogle Scholar
Boisier, J. P., de Noblet-Ducoudré, N., and Ciais, P. (2013). Inferring past land use-induced changes in surface albedo from satellite observations: A useful tool to evaluate model simulations. Biogeosciences, 10, 1501–1516.CrossRefGoogle Scholar
Bosilovich, M. G., and Sun, W.-Y. (1999a). Numerical simulation of the 1993 midwestern flood: Local and remote sources of water. Journal of Geophysical Research, 104D, 19415–19423.Google Scholar
Bosilovich, M. G., and Sun, W.-Y. (1999b). Numerical simulation of the 1993 midwestern flood: Land–atmosphere interactions. Journal of Climate, 12, 1490–1505.2.0.CO;2>CrossRefGoogle Scholar
Buermann, W., Wang, Y., Dong, J., et al. (2002). Analysis of a multiyear global vegetation leaf area index data set. Journal of Geophysical Research, 107, 4646, doi:10.1029/2001JD000975.CrossRefGoogle Scholar
Buermann, W., Anderson, B., Tucker, C. J., et al. (2003). Interannual covariability in Northern Hemisphere air temperatures and greenness associated with El Niño–Southern Oscillation and the Arctic Oscillation. Journal of Geophysical Research, 108, 4396, doi:10.1029/2002JD002630.CrossRefGoogle Scholar
Cohen, J., and Entekhabi, D. (1999). Eurasian snow cover variability and Northern Hemisphere climate predictability. Geophysical Research Letters, 26, 345–348.Google Scholar
Cohen, J., and Rind, D. (1991). The effect of snow cover on the climate. Journal of Climate, 4, 689–706.2.0.CO;2>CrossRefGoogle Scholar
Cohen, J., Saito, K., and Entekhabi, D. (2001). The role of the Siberian high in Northern Hemisphere climate variability. Geophysical Research Letters, 28, 299–302.CrossRefGoogle Scholar
Cohen, J. L., Furtado, J. C., Barlow, M. A., Alexeev, V. A., and Cherry, J. E. (2012). Arctic warming, increasing snow cover and widespread boreal winter cooling. Environmental Research Letters, 7, 014007, doi:10.1088/1748–9326/7/1/014007.CrossRefGoogle Scholar
Collins, M., Knutti, R., Arblaster, J., et al. (2013). Long-term climate change: Projections, commitments and irreversibility. In Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, ed. Stocker, T. F., Qin, D., Plattner, G.-K., et al. Cambridge: Cambridge University Press, pp. 1029–1136.Google Scholar
Cook, B. I., Bonan, G. B., and Levis, S. (2006). Soil moisture feedbacks to precipitation in southern Africa. Journal of Climate, 19, 4198–4206.CrossRefGoogle Scholar
Crucifix, M., Betts, R. A., and Cox, P. M. (2005). Vegetation and climate variability: A GCM modelling study. Climate Dynamics, 24, 457–467.CrossRefGoogle Scholar
Delire, C., Foley, J. A., and Thompson, S. (2004). Long-term variability in a coupled atmosphere– biosphere model. Journal of Climate, 17, 3947–3959.2.0.CO;2>CrossRefGoogle Scholar
Delire, C., de Noblet-Ducoudré, N., Sima, A., and Gouirand, I. (2011). Vegetation dynamics enhancing long-term climate variability confirmed by two models. Journal of Climate, 24, 2238–2257.CrossRefGoogle Scholar
Dirmeyer, P. A., Koster, R. D., and Guo, Z. (2006). Do global models properly represent the feedback between land and atmosphere?Journal of Hydrometeorology, 7, 1177–1198.CrossRefGoogle Scholar
Douville, H., and Royer, J.-F. (1996). Sensitivity of the Asian summer monsoon to an anomalous Eurasian snow cover within the Météo-France GCM. Climate Dynamics, 12, 449–466.CrossRefGoogle Scholar
Durre, I., Wallace, J. M., and Lettenmaier, D. P. (2000). Dependence of extreme daily maximum temperatures on antecedent soil moisture in the contiguous United States during summer. Journal of Climate, 13, 2641–2651.2.0.CO;2>CrossRefGoogle Scholar
Feng, X., Bosilovich, M., Houser, P., and Chern, J.-D. (2013). Impact of land surface conditions on 2004 North American monsoon in GCM experiments. Journal of Geophysical Research: Atmospheres, 118, 293–305, doi:10.1029/2012JD018805.Google Scholar
Findell, K. L., and Eltahir, E. A. B. (1997). An analysis of the soil moisture–rainfall feedback, based on direct observations from Illinois. Water Resources Research, 33, 725–735.CrossRefGoogle Scholar
Findell, K. L., Gentine, P., Lintner, B. R., and Kerr, C. (2011). Probability of afternoon precipitation in eastern United States and Mexico enhanced by high evaporation. Nature Geoscience, 4, 434–439.CrossRefGoogle Scholar
Fischer, E. M., Seneviratne, S. I., Lüthi, D., and Schär, C. (2007). Contribution of land–atmosphere coupling to recent European summer heat waves. Geophysical Research Letters, 34, L06707, doi:10.1029/2006GL029068.CrossRefGoogle Scholar
Fitzjarrald, D. R., Acevedo, O. C., and Moore, K. E. (2001). Climatic consequences of leaf presence in the eastern United States. Journal of Climate, 14, 598–614.2.0.CO;2>CrossRefGoogle Scholar
Flanner, M. G., Shell, K. M., Barlage, M., Perovich, D. K., and Tschudi, M. A. (2011). Radiative forcing and albedo feedback from the Northern Hemisphere cryosphere between 1979 and 2008. Nature Geoscience, 4, 151–155.CrossRefGoogle Scholar
Fletcher, C. G., Hardiman, S. C., Kushner, P. J., and Cohen, J. (2009). The dynamical response to snow cover perturbations in a large ensemble of atmospheric GCM integrations. Journal of Climate, 22, 1208–1222.CrossRefGoogle Scholar
Gao, F., Schaaf, C. B., Strahler, A. H., et al. (2005). MODIS bidirectional reflectance distribution function and albedo Climate Modeling Grid products and the variability of albedo for major global vegetation types. Journal of Geophysical Research, 110, D01104, doi:10.1029/2004JD005190.CrossRefGoogle Scholar
Ge, Y., and Gong, G. (2009). North American snow depth and climate teleconnection patterns. Journal of Climate, 22, 217–233.CrossRefGoogle Scholar
Gong, G., Entekhabi, D., and Cohen, J. (2002). A large-ensemble model study of the wintertime AO–NAO and the role of interannual snow perturbations. Journal of Climate, 15, 3488–3499.2.0.CO;2>CrossRefGoogle Scholar
Gong, G., Entekhabi, D., and Cohen, J. (2003a). Modeled Northern Hemisphere winter climate response to realistic Siberian snow anomalies. Journal of Climate, 16, 3917–3931.2.0.CO;2>CrossRefGoogle Scholar
Gong, G., Entekhabi, D., and Cohen, J. (2003b). Relative impacts of Siberian and North American snow anomalies on the winter Arctic Oscillation. Geophysical Research Letters, 30, 1848, doi:10.1029/2003GL017749.CrossRefGoogle Scholar
Grantz, K., Rajagopalan, B., Clark, M., and Zagona, E. (2007). Seasonal shifts in the North American monsoon. Journal of Climate, 20, 1923–1935.CrossRefGoogle Scholar
Groisman, P. Y., Karl, T. R., and Knight, R. W. (1994). Observed impact of snow cover on the heat balance and the rise of continental spring temperatures. Science, 263, 198–200.CrossRefGoogle ScholarPubMed
Guo, Z., Dirmeyer, P. A., Koster, R. D., et al. (2006). GLACE: The Global Land–Atmosphere Coupling Experiment, Part II: Analysis. Journal of Hydrometeorology, 7, 611–625.CrossRefGoogle Scholar
Gutzler, D. S. (2000). Covariability of spring snowpack and summer rainfall across the Southwest United States. Journal of Climate, 13, 4018–4027.2.0.CO;2>CrossRefGoogle Scholar
Gutzler, D. S., and Preston, J. W. (1997). Evidence for a relationship between spring snow cover in North America and summer rainfall in New Mexico. Geophysical Research Letters, 24, 2207–2210.CrossRefGoogle Scholar
Hahn, D. G., and Shukla, J. (1976). An apparent relationship between Eurasian snow cover and Indian monsoon rainfall. Journal of the Atmospheric Sciences, 33, 2461–2462.2.0.CO;2>CrossRefGoogle Scholar
Hirschi, M., Seneviratne, S. I., Alexandrov, V., et al. (2011). Observational evidence for soil-moisture impact on hot extremes in southeastern Europe. Nature Geoscience, 4, 17–21.CrossRefGoogle Scholar
Hoerling, M., and Kumar, A. (2003). The perfect ocean for drought. Science, 299, 691–694.CrossRefGoogle ScholarPubMed
Hogg, E. H., Price, D. T., and Black, T. A. (2000). Postulated feedbacks of deciduous forest phenology on seasonal climate patterns in the western Canadian interior. Journal of Climate, 13, 4229–4243.2.0.CO;2>CrossRefGoogle Scholar
Huang, J., and Van den Dool, H. M. (1993). Monthly precipitation–temperature relations and temperature prediction over the United States. Journal of Climate, 6, 1111–1132.2.0.CO;2>CrossRefGoogle Scholar
Jaeger, E. B., and Seneviratne, S. I. (2011). Impact of soil moisture–atmosphere coupling on European climate extremes and trends in a regional climate model. Climate Dynamics, 36, 1919–1939.CrossRefGoogle Scholar
Jeong, S.-J., Ho, C.-H., Gim, H.-J., and Brown, M. E. (2011). Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982–2008. Global Change Biology, 17, 2385–2399.CrossRefGoogle Scholar
Jeong, S.-J., Medvigy, D., Shevliakova, E., and Malyshev, S. (2013). Predicting changes in temperate forest budburst using continental-scale observations and models. Geophysical Research Letters, 40, 359–364, doi:10.1029/2012GL054431.CrossRefGoogle Scholar
Jin, Y., Schaaf, C. B., Gao, F., et al. (2002). How does snow impact the albedo of vegetated land surfaces as analyzed with MODIS data?Geophysical Research Letters, 29, 1374, doi:10.1029/2001GL014132.CrossRefGoogle Scholar
Karl, T. R. (1986). The relationship of soil moisture parameterizations to subsequent seasonal and monthly mean temperature in the United States. Monthly Weather Review, 114, 675–686.2.0.CO;2>CrossRefGoogle Scholar
Karl, T. R., and Quayle, R. G. (1981). The 1980 summer heat wave and drought in historical perspective. Monthly Weather Review, 109, 2055–2073.2.0.CO;2>CrossRefGoogle Scholar
Kim, Y., and Wang, G. (2007). Impact of vegetation feedback on the response of precipitation to antecedent soil moisture anomalies over North America. Journal of Hydrometeorology, 8, 534–550.Google Scholar
Kim, Y., and Wang, G. (2012). Soil moisture–vegetation–precipitation feedback over North America: Its sensitivity to soil moisture climatology. Journal of Geophysical Research, 117, D18115, doi:10.1029/2012JD017584.CrossRefGoogle Scholar
Koster, R. D., and Suarez, M. J. (2004). Suggestions in the observational record of land–atmosphere feedback operating at seasonal time scales. Journal of Hydrometeorology, 5, 567–572.2.0.CO;2>CrossRefGoogle Scholar
Koster, R. D., Dirmeyer, P. A., Hahmann, A. N., et al. (2002). Comparing the degree of land–atmosphere interaction in four atmospheric general circulation models. Journal of Hydrometeorology, 3, 363–375.2.0.CO;2>CrossRefGoogle Scholar
Koster, R. D., Suarez, M. J., Higgins, R. W., and Van den Dool, H. M. (2003). Observational evidence that soil moisture variations affect precipitation. Geophysical Research Letters, 30, 1241, doi:10.1029/2002GL016571.CrossRefGoogle Scholar
Koster, R. D., Dirmeyer, P. A., Guo, Z., et al. (2004). Regions of strong coupling between soil moisture and precipitation. Science, 305, 1138–1140.CrossRefGoogle ScholarPubMed
Koster, R. D., Guo, Z., Dirmeyer, P. A., et al. (2006a). GLACE: The Global Land–Atmosphere Coupling Experiment, Part I: Overview. Journal of Hydrometeorology, 7, 590–610.CrossRefGoogle Scholar
Koster, R. D., Suarez, M. J., and Schubert, S. D. (2006b). Distinct hydrological signatures in observed historical temperature fields. Journal of Hydrometeorology, 7, 1061–1075.CrossRefGoogle Scholar
Koster, R. D., Schubert, S. D., and Suarez, M. J. (2009). Analyzing the concurrence of meteorological droughts and warm periods, with implications for the determination of evaporative regime. Journal of Climate, 22, 3331–3341.CrossRefGoogle Scholar
Koster, R. D., Mahanama, S. P. P., Yamada, T. J., et al. (2010). Contribution of land surface initialization to subseasonal forecast skill: First results from a multi-model experiment. Geophysical Research Letters, 37, L02402, doi:10.1029/2009GL041677.CrossRefGoogle Scholar
Koster, R. D., Mahanama, S. P. P., Yamada, T. J., et al. (2011). The second phase of the Global Land–Atmosphere Coupling Experiment: Soil moisture contributions to subseasonal forecast skill. Journal of Hydrometeorology, 12, 805–822.CrossRefGoogle Scholar
Kumar, S., Dirmeyer, P. A., Lawrence, D. M., et al. (2014). Effects of realistic land surface initializations on subseasonal to seasonal soil moisture and temperature predictability in North America and in changing climate simulated by CCSM4. Journal of Geophysical Research: Atmospheres, 119, 13250–13270, doi:10.1002/2014JD022110.Google Scholar
Leathers, D. J., and Robinson, D. A. (1993). The association between extremes in North American snow cover extent and United States temperatures. Journal of Climate, 6, 1345–1355.2.0.CO;2>CrossRefGoogle Scholar
Leathers, D. J., Ellis, A. W., and Robinson, D. A. (1995). Characteristics of temperature depressions associated with snow cover across the Northeast United States. Journal of Applied Meteorology, 34, 381–390.CrossRefGoogle Scholar
Levis, S., and Bonan, G. B. (2004). Simulating springtime temperature patterns in the Community Atmosphere Model coupled to the Community Land Model using prognostic leaf area. Journal of Climate, 17, 4531–4540.CrossRefGoogle Scholar
Lorenz, R., Davin, E. L., Lawrence, D. M., Stöckli, R., and Seneviratne, S. I. (2013). How important is vegetation phenology for European climate and heat waves?Journal of Climate, 26, 10077–10100.CrossRefGoogle Scholar
Madden, R. A., and Williams, J. (1978). The correlation between temperature and precipitation in the United States and Europe. Monthly Weather Review, 106, 142–147.2.0.CO;2>CrossRefGoogle Scholar
Matsui, T., Lakshmi, V., and Small, E. (2003). Links between snow cover, surface skin temperature, and rainfall variability in the North American monsoon system. Journal of Climate, 16, 1821–1829.2.0.CO;2>CrossRefGoogle Scholar
Mote, T. L. (2008). On the role of snow cover in depressing air temperature. Journal of Applied Meteorology and Climatology, 47, 2008–2022.CrossRefGoogle Scholar
Mueller, B., and Seneviratne, S. I. (2012). Hot days induced by precipitation deficits at the global scale. Proceedings of the National Academy of Sciences USA, 109, 12398–12403.CrossRefGoogle ScholarPubMed
Namias, J. (1983). Some causes of United States drought. Journal of Climate and Applied Meteorology, 22, 30–39.2.0.CO;2>CrossRefGoogle Scholar
Namias, J. (1985). Some empirical evidence for the influence of snow cover on temperature and precipitation. Monthly Weather Review, 113, 1542–1553.2.0.CO;2>CrossRefGoogle Scholar
Namias, J. (1991). Spring and summer 1988 drought over the contiguous United States – causes and prediction. Journal of Climate, 4, 54–65.2.0.CO;2>CrossRefGoogle Scholar
Notaro, M., and Gutzler, D. (2012). Simulated impact of vegetation on climate across the North American monsoon region in CCSM3.5. Climate Dynamics, 38, 795–814.CrossRefGoogle Scholar
Notaro, M., and Zarrin, A. (2011). Sensitivity of the North American monsoon to antecedent Rocky Mountain snowpack. Geophysical Research Letters, 38, L17403, doi:10.1029/2011GL048803.CrossRefGoogle Scholar
Pal, J. S., and Eltahir, E. A. B. (2001). Pathways relating soil moisture conditions to future summer rainfall within a model of the land–atmosphere system. Journal of Climate, 14, 1227–1242.2.0.CO;2>CrossRefGoogle Scholar
Pal, J. S., and Eltahir, E. A. B. (2002). Teleconnections of soil moisture and rainfall during the 1993 midwest summer flood. Geophysical Research Letters, 29, 1865, doi:10.1029/2002GL014815.CrossRefGoogle Scholar
Peñuelas, J., Rutishauser, T., and Filella, I. (2009). Phenology feedbacks on climate change. Science, 324, 887–888.CrossRefGoogle ScholarPubMed
Pitman, A. J. (2003). The evolution of, and revolution in, land surface schemes designed for climate models. International Journal of Climatology, 23, 479–510.CrossRefGoogle Scholar
Richardson, A. D., Anderson, R. S., Arain, M. A., et al. (2012). Terrestrial biosphere models need better representation of vegetation phenology: Results from the North American Carbon Program Site Synthesis. Global Change Biology, 18, 566–584.CrossRefGoogle Scholar
Richardson, A. D., Keenan, T. F., Migliavacca, M., et al. (2013). Climate change, phenology, and phenological control of vegetation feedbacks to the climate system. Agricultural and Forest Meteorology, 169, 156–173.CrossRefGoogle Scholar
Robinson, D. A., and Kukla, G. (1985). Maximum surface albedo of seasonally snow-covered lands in the Northern Hemisphere. Journal of Climate and Applied Meteorology, 24, 402–411.2.0.CO;2>CrossRefGoogle Scholar
Saito, K., and Cohen, J. (2003). The potential role of snow cover in forcing interannual variability of the major Northern Hemisphere mode. Geophysical Research Letters, 30, 1302, doi:10.1029/2002GL016341.Google Scholar
Salvucci, G. D., Saleem, J. A., and Kaufmann, R. (2002). Investigating soil moisture feedbacks on precipitation with tests of Granger causality. Advances in Water Resources, 25, 1305–1312.CrossRefGoogle Scholar
Schubert, S. D., Suarez, M. J., Pegion, P. J., Koster, R. D., and Bacmeister, J. T. (2004a). Causes of long-term drought in the U.S. Great Plains. Journal of Climate, 17, 485–503.2.0.CO;2>CrossRefGoogle Scholar
Schubert, S. D., Suarez, M. J., Pegion, P. J., Koster, R. D., and Bacmeister, J. T. (2004b). On the cause of the 1930s Dust Bowl. Science, 303, 1855–1859.CrossRefGoogle ScholarPubMed
Schwartz, M. D. (1992). Phenology and springtime surface-layer change. Monthly Weather Review, 120, 2570–2578.2.0.CO;2>CrossRefGoogle Scholar
Schwartz, M. D. (1996). Examining the spring discontinuity in daily temperature ranges. Journal of Climate, 9, 803–808.2.0.CO;2>CrossRefGoogle Scholar
Schwartz, M. D., and Crawford, T. M. (2001). Detecting energy-balance modifications at the onset of spring. Physical Geography, 22, 394–409.Google Scholar
Schwartz, M. D., and Karl, T. R. (1990). Spring phenology: Nature's experiment to detect the effect of “green-up” on surface maximum temperatures. Monthly Weather Review, 118, 883–890.2.0.CO;2>CrossRefGoogle Scholar
Seager, R., and Hoerling, M. (2014). Atmosphere and ocean origins of North American droughts. Journal of Climate, 27, 4581–4606.CrossRefGoogle Scholar
Seneviratne, S. I., Lüthi, D., Litschi, M., and Schär, C. (2006). Land–atmosphere coupling and climate change in Europe. Nature, 443, 205–209.CrossRefGoogle Scholar
Seneviratne, S. I., Corti, T., Davin, E. L., et al. (2010). Investigating soil moisture–climate interactions in a changing climate: A review. Earth-Science Reviews, 99, 125–161.CrossRefGoogle Scholar
Seneviratne, S. I., Wilhelm, M., Stanelle, T., et al. (2013). Impact of soil moisture–climate feedbacks on CMIP5 projections: First results from the GLACE-CMIP5 experiment. Geophysical Research Letters, 40, 5212–5217, doi:10.1002/grl.50956.CrossRefGoogle Scholar
Shukla, J., and Mintz, Y. (1982). Influence of land-surface evapotranspiration on the Earth's climate. Science, 215, 1498–1501.CrossRefGoogle ScholarPubMed
Small, E. E. (2001). The influence of soil moisture anomalies on variability of the North American monsoon system. Geophysical Research Letters, 28, 139–142.CrossRefGoogle Scholar
Smith, K. L., Kushner, P. J., and Cohen, J. (2011). The role of linear interference in Northern Annular Mode variability associated with Eurasian snow cover extent. Journal of Climate, 24, 6185–6202.CrossRefGoogle Scholar
Sobolowski, S., Gong, G., and Ting, M. (2010). Modeled climate state and dynamic responses to anomalous North American snow cover. Journal of Climate, 23, 785–799.CrossRefGoogle Scholar
Stéfanon, M., Drobinski, P., D'Andrea, F., and de Noblet-Ducoudré, N. (2012). Effects of interactive vegetation phenology on the 2003 summer heat waves. Journal of Geophysical Research, 117, D24103, doi:10.1029/2012JD018187.CrossRefGoogle Scholar
Stöckli, R., and Vidale, P. L. (2004). European plant phenology and climate as seen in a 20-year AVHRR land-surface parameter dataset. International Journal of Remote Sensing, 25, 3303–3330.CrossRefGoogle Scholar
Stöckli, R., Rutishauser, T., Baker, I., Liniger, M. A., and Denning, A. S. (2011). A global reanalysis of vegetation phenology. Journal of Geophysical Research, 116, G03020, doi:10.1029/2010JG001545.CrossRefGoogle Scholar
Sud, Y. C., Mocko, D. M., Lau, K.-M., and Atlas, R. (2003). Simulating the midwestern U.S. drought of 1988 with a GCM. Journal of Climate, 16, 3946–3965.2.0.CO;2>CrossRefGoogle Scholar
Taylor, C. M., and Ellis, R. J. (2006). Satellite detection of soil moisture impacts on convection at the mesoscale. Geophysical Research Letters, 33, L03404, doi:10.1029/2005GL025252.CrossRefGoogle Scholar
Taylor, C. M., de Jeu, R. A. M., Guichard, F., Harris, P. P., and Dorigo, W. A. (2012). Afternoon rain more likely over drier soils. Nature, 489, 423–426.CrossRefGoogle ScholarPubMed
Teuling, A. J., Hirschi, M., Ohmura, A., et al. (2009). A regional perspective on trends in continental evaporation. Geophysical Research Letters, 36, L02404, doi:10.1029/2008GL036584.CrossRefGoogle Scholar
Teuling, A. J., Van Loon, A. F., Seneviratne, S. I., et al. (2013). Evapotranspiration amplifies European summer drought. Geophysical Research Letters, 40, 2071–2075, doi:10.1002/grl.50495.CrossRefGoogle Scholar
Trenberth, K. E., and Branstator, G. W. (1992). Issues in establishing causes of the 1988 drought over North America. Journal of Climate, 5, 159–172.2.0.CO;2>CrossRefGoogle Scholar
Trenberth, K. E., and Guillemot, C. J. (1996). Physical processes involved in the 1988 drought and 1993 floods in North America. Journal of Climate, 9, 1288–1298.2.0.CO;2>CrossRefGoogle Scholar
Trenberth, K. E., Branstator, G. W., and Arkin, P. A. (1988). Origins of the 1988 North American drought. Science, 242, 1640–1645.CrossRefGoogle ScholarPubMed
van den Hurk, B., Doblas-Reyes, F., Balsam, G., et al. (2012). Soil moisture effects on seasonal temperature and precipitation forecast scores in Europe. Climate Dynamics, 38, 349–362.CrossRefGoogle Scholar
Vavrus, S. (2007). The role of terrestrial snow cover in the climate system. Climate Dynamics, 29, 73–88.CrossRefGoogle Scholar
Viterbo, P., and Betts, A. K. (1999). Impact of the ECMWF reanalysis soil water on forecasts of the July 1993 Mississippi flood. Journal of Geophysical Research, 104D, 19361–19366.Google Scholar
Walland, D. J., and Simmonds, I. (1997). Modelled atmospheric response to changes in Northern Hemisphere snow cover. Climate Dynamics, 13, 25–34.Google Scholar
Walsh, J. E., and Ross, B. (1988). Sensitivity of 30-day dynamical forecasts to continental snow cover. Journal of Climate, 1, 739–754.2.0.CO;2>CrossRefGoogle Scholar
Walsh, J. E., Tucek, D. R., and Peterson, M. R. (1982). Seasonal snow cover and short-term climatic fluctuations over the United States. Monthly Weather Review, 110, 1474–1485.2.0.CO;2>CrossRefGoogle Scholar
Wang, G., Sun, S., and Mei, R. (2011). Vegetation dynamics contributes to the multi-decadal variability of precipitation in the Amazon region. Geophysical Research Letters, 38, L19703, doi:10.1029/2011GL049017.CrossRefGoogle Scholar
Wei, J., and Dirmeyer, P. A. (2012). Dissecting soil moisture–precipitation coupling. Geophysical Research Letters, 39, L19711, doi:10.1029/2012GL053038.CrossRefGoogle Scholar
Xu, L., and Dirmeyer, P. (2013). Snow–atmosphere coupling strength, Part II: Albedo effect versus hydrological effect. Journal of Hydrometeorology, 14, 404–418.Google Scholar
Zhang, T. (2005). Influence of the seasonal snow cover on the ground thermal regime: an overview. Reviews of Geophysics, 43, RG4002, doi:10.1029/2004RG000157.CrossRefGoogle Scholar
Zhu, C., Lettenmaier, D. P., and Cavazos, T. (2005). Role of antecedent land surface conditions on North American monsoon rainfall variability. Journal of Climate, 18, 3104–3121.CrossRefGoogle Scholar

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  • Seasonal-to-Interannual Variability
  • Gordon Bonan, National Center for Atmospheric Research, Boulder, Colorado
  • Book: Ecological Climatology
  • Online publication: 05 November 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781107339200.027
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  • Seasonal-to-Interannual Variability
  • Gordon Bonan, National Center for Atmospheric Research, Boulder, Colorado
  • Book: Ecological Climatology
  • Online publication: 05 November 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781107339200.027
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Seasonal-to-Interannual Variability
  • Gordon Bonan, National Center for Atmospheric Research, Boulder, Colorado
  • Book: Ecological Climatology
  • Online publication: 05 November 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781107339200.027
Available formats
×