Global characterization of surface soil moisture drydowns

Geophysical Research Letters

Volumn 44, Issue 8, 2017, Pages 3682-3690

  McColl, Kaighin A ^a   Wang, Wei ^b   Peng, Bin ^c   Akbar, Ruzbeh ^d   Short Gianotti, Daniel J ^d   Lu, Hui ^b,e   Pan, Ming ^f   Entekhabi, Dara ^d  

^a HARVARD UNIVERSITY   (United States)

^b TSINGHUA UNIVERSITY   (China)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^d Massachusetts Institute of Technology   (United States)

^e JOINT CENTER FOR GLOBAL CHANGE STUDIES   (China)

^f Princeton University   (United States)

Author keywords

evapotranspiration; loss function; remote sensing; SMAP; soil moisture

Indexed keywords

BUDGET CONTROL; CLIMATE MODELS; EVAPOTRANSPIRATION; METEOROLOGY; NASA; REMOTE SENSING;

EXPONENTIAL DECAYS; GLOBAL ESTIMATE; KEY CHARACTERISTICS; LOSS FUNCTIONS; PRECIPITATION EVENTS; SMAP; SURFACE SOIL MOISTURE; WEATHER AND CLIMATE MODELS;

SOIL MOISTURE;

CLIMATE MODELING; EVAPOTRANSPIRATION; GLOBAL PERSPECTIVE; INFILTRATION; PRECIPITATION (CLIMATOLOGY); REMOTE SENSING; SANDY SOIL; SOIL MOISTURE; TIME SERIES; WATER BUDGET;

EID: 85018990970     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/2017GL072819     Document Type: Article

References (49)

1. Bomblies, A., and E. A. B. Eltahir (2010), Assessment of the impact of climate shifts on malaria transmission in the sahel, EcoHealth, 6(3), 426–437, doi:10.1007/s10393-010-0274-5.
2. Bonan, G. B., and L. M. Stillwell-Soller (1998), Soil water and the persistence of floods and droughts in the Mississippi River Basin, Water Resour. Res., 34(10), 2693–2701, doi:10.1029/98WR02073.
3. Botter, G., F. Peratoner, A. Porporato, I. Rodriguez-Iturbe, and A. Rinaldo (2007), Signatures of large-scale soil moisture dynamics on streamflow statistics across U.S. climate regimes, Water Resour. Res., 43, W11413, doi:10.1029/2007WR006162.
4. Brutsaert, W. (1982), Evaporation Into the Atmosphere, Springer, Netherlands.
5. Brutsaert, W. (2014), Daily evaporation from drying soil: Universal parameterization with similarity, Water Resour. Res., 50, 3206–3215, doi:10.1002/2013WR014872.
6. Champagne, C., T. Rowlandson, A. Berg, T. Burns, J. L'Heureux, E. Tetlock, J. R. Adams, H. McNairn, B. Toth, and D. Itenfisu (2016), Satellite surface soil moisture from SMOS and Aquarius: Assessment for applications in agricultural landscapes, Int. J. Appl. Earth Obs. Geoinf., 45, 143–154, doi:10.1016/j.jag.2015.09.004.
7. Chan, S. K., et al. (2016), Assessment of the SMAP passive soil moisture product, IEEE Trans. Geosci. Remote Sens., 54(8), 4994–5007, doi:10.1109/TGRS.2016.2561938.
8. Dardanelli, J. L., J. T. Ritchie, M. Calmon, J. M. Andriani, and D. J. Collino (2004), An empirical model for root water uptake, Field Crops Res., 87(1), 59–71, doi:10.1016/j.fcr.2003.09.008.
9. Das, N. (2013), SMAP ancillary data report: Soil attributes, Tech. Rep. SMAP Sci. Doc. No. 044, Jet Propulsion Lab., California Inst. of Technol., Pasadena, Calif.
10. Delworth, T. L., and S. Manabe (1988), The influence of potential evaporation on the variabilities of simulated soil wetness and climate, J. Clim., 1(5), 523–547, doi:10.1175/1520-0442(1988)001<0523:TIOPEO>2.0.CO;2.
11. D'Odorico, P., F. Laio, A. Porporato, and I. Rodriguez-Iturbe (2003), Hydrologic controls on soil carbon and nitrogen cycles. II. A case study, Adv. Water Resour., 26(1), 59–70, doi:10.1016/S0309-1708(02)00095-7.
12. Entekhabi, D., I. Rodriguez-Iturbe, and F. Castelli (1996), Mutual interaction of soil moisture state and atmospheric processes, J. Hydrol., 184(1–2), 3–17.
13. Entekhabi, D., et al. (2010), The Soil Moisture Active Passive (SMAP) mission, Proc. IEEE, 98(5), 704–716, doi:10.1109/JPROC.2010.2043918.
14. Fecan, F., B. Marticorena, and G. Bergametti (1999), Parametrization of the increase of the aeolian erosion threshold wind friction velocity due to soil moisture for arid and semi-arid areas, Ann. Geophys., 17(1), 149–157, doi:10.1007/s00585-999-0149-7.
15. Ford, T. W., E. Harris, and S. M. Quiring (2014), Estimating root zone soil moisture using near-surface observations from SMOS, Hydrol. Earth Syst. Sci., 18(1), 139–154, doi:10.5194/hess-18-139-2014.
16. Friedl, M. A., D. Sulla-Menashe, B. Tan, A. Schneider, N. Ramankutty, A. Sibley, and X. Huang (2010), MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets, Remote Sens. Environ., 114(1), 168–182, doi:10.1016/j.rse.2009.08.016.
17. Ghannam, K., T. Nakai, A. Paschalis, C. A. Oishi, A. Kotani, Y. Igarashi, T. Kumagai, and G. G. Katul (2016), Persistence and memory timescales in root-zone soil moisture dynamics, Water Resour. Res., 52, 1427–1445, doi:10.1002/2015WR017983.
18. Jacquemin, B., and J. Noilhan (1990), Sensitivity study and validation of a land surface parameterization using the HAPEX-MOBILHY data set, Boundary Layer Meteorol., 52(1–2), 93–134, doi:10.1007/BF00123180.
19. Katul, G. G., A. Porporato, E. Daly, A. C. Oishi, H.-S. Kim, P. C. Stoy, J.-Y. Juang, and M. B. Siqueira (2007), On the spectrum of soil moisture from hourly to interannual scales, Water Resour. Res., 43, W05428, doi:10.1029/2006WR005356.
20. Kerr, Y. H., et al. (2010), The SMOS mission: New tool for monitoring key elements of the global water cycle, Proc. IEEE, 98(5), 666–687, doi:10.1109/JPROC.2010.2043032.
21. Konings, A. G., and P. Gentine (2016), Global variations in ecosystem-scale isohydricity, Global Change Biol., 23, 891–905, doi:10.1111/gcb.13389.
22. Koster, R. D., and M. J. Suarez (2001), Soil moisture memory in climate models, J. Hydrometeorol., 2(6), 558–570, doi:10.1175/1525-7541(2001)002<0558:SMMICM>2.0.CO;2.
23. Koster, R. D., and M. J. Suarez (2003), Impact of land surface initialization on seasonal precipitation and temperature prediction, J. Hydrometeorol., 4(2), 408–423.
24. Kurc, S. A., and E. E. Small (2004), Dynamics of evapotranspiration in semiarid grassland and shrubland ecosystems during the summer monsoon season, central New Mexico, Water Resour. Res., 40, W09305, doi:10.1029/2004WR003068.
25. Laio, F., A. Porporato, L. Ridolfi, and I. Rodriguez-Iturbe (2001a), Plants in water-controlled ecosystems: Active role in hydrologic processes and response to water stress: II. Probabilistic soil moisture dynamics, Adv. Water Resour., 24(7), 707–723.
26. Laio, F., A. Porporato, C. P. Fernandez-Illescas, and I. Rodriguez-Iturbe (2001b), Plants in water-controlled ecosystems: Active role in hydrologic processes and response to water stress: IV. Discussion of real cases, Adv. Water Resour., 24(7), 745–762, doi:10.1016/S0309-1708(01)00007-0.
27. Lorenz, R., E. B. Jaeger, and S. I. Seneviratne (2010), Persistence of heat waves and its link to soil moisture memory, Geophys. Res. Lett., 37, L09703, doi:10.1029/2010GL042764.
28. Mahfouf, J. F., C. Ciret, A. Ducharne, P. Irannejad, J. Noilhan, Y. Shao, P. Thornton, Y. Xue, and Z. L. Yang (1996), Analysis of transpiration results from the RICE and PILPS workshop, Global Planet. Change, 13(1–4), 73–88, doi:10.1016/0921-8181(95)00039-9.
29. Manabe, S. (1969), Climate and the ocean circulation, Mon. Weather Rev., 97(11), 739–774, doi:10.1175/1520-0493(1969)097<0739:CATOC>2.3.CO;2.
30. Manzoni, S., J. P. Schimel, and A. Porporato (2012), Responses of soil microbial communities to water stress: Results from a meta-analysis, Ecology, 93(4), 930–938, doi:10.1890/11-0026.1.
31. McColl, K., S. Alemohammad, R. Akbar, A. Konings, S. Yueh, and D. Entekhabi (2017), The global distribution and dynamics of surface soil moisture, Nat. Geosci., 10(2), 100–104.
32. O'Neill, P., S. Chan, E. Njoku, T. Jackson, and R. Bindlish (2016), SMAP L3 radiometer global daily 36 km EASE-grid soil moisture, version 2, Tech. Rep., NASA Natl. Snow and Ice Data Cent. Distrib. Act. Arch. Cent., Boulder, Colo.
33. Orth, R., and S. I. Seneviratne (2012), Analysis of soil moisture memory from observations in Europe, J. Geophys. Res., 117, D15115, doi:10.1029/2011JD017366.
34. Pan, M., X. Cai, N. W. Chaney, D. Entekhabi, and E. F. Wood (2016), An initial assessment of SMAP soil moisture retrievals using high-resolution model simulations and in situ observations, Geophys. Res. Lett., 43, 9662–9668, doi:10.1002/2016GL069964.
35. Porporato, A., F. Laio, L. Ridolfi, and I. Rodriguez-Iturbe (2001), Plants in water-controlled ecosystems: Active role in hydrologic processes and response to water stress: III. Vegetation water stress, Adv. Water Resour., 24(7), 725–744, doi:10.1016/S0309-1708(01)00006-9.
36. Rodell, M., and H. Beaudoing (2007), GLDAS Noah land surface model l4 monthly 0.25 × 0.25 degree v001, Tech. Rep., Goddard Earth Sci. Data and Inf. Serv. Cent. (GES DISC), Greenbelt, Md., doi:10.5067/7NP2052IA62C.
37. Rodriguez-Iturbe, I., A. Porporato, L. Ridolfi, V. Isham, and D. R. Coxi (1999a), Probabilistic modelling of water balance at a point: The role of climate, soil and vegetation, Proc. R. Soc. A, 455(1990), 3789–3805, doi:10.1098/rspa.1999.0477.
38. Rodriguez-Iturbe, I., P. D'Odorico, A. Porporato, and L. Ridolfi (1999b), Tree-grass coexistence in Savannas: The role of spatial dynamics and climate fluctuations, Geophys. Res. Lett., 26(2), 247–250, doi:10.1029/1998GL900296.
39. Rondinelli, W. J., B. K. Hornbuckle, J. C. Patton, M. H. Cosh, V. A. Walker, B. D. Carr, and S. D. Logsdon (2015), Different rates of soil drying after rainfall are observed by the SMOS satellite and the South Fork in situ soil moisture network, J. Hydrometeorol., 16(2), 889–903, doi:10.1175/JHM-D-14-0137.1.
40. Rosenzweig, C., F. N. Tubiello, R. Goldberg, E. Mills, and J. Bloomfield (2002), Increased crop damage in the US from excess precipitation under climate change, Global Environ. Change, 12(3), 197–202, doi:10.1016/S0959-3780(02)00008-0.
41. Saleem, J. A., and G. D. Salvucci (2002), Comparison of soil wetness indices for inducing functional similarity of hydrologic response across sites in Illinois, J. Hydrometeorol., 3(1), 80–91, doi:10.1175/1525-7541(2002)003<0080:COSWIF>2.0.CO;2.
42. Salvucci, G. D. (2001), Estimating the moisture dependence of root zone water loss using conditionally averaged precipitation, Water Resour. Res., 37(5), 1357–1365, doi:10.1029/2000WR900336.
43. Sellers, P. J., et al. (1997), Modeling the exchanges of energy, water, and carbon between continents and the atmosphere, Science, 275(5299), 502–509, doi:10.1126/science.275.5299.502.
44. Seneviratne, S. I., et al. (2006), Soil moisture memory in AGCM simulations: Analysis of Global Land Atmosphere Coupling Experiment (GLACE) data, J. Hydrometeorol., 7(5), 1090–1112, doi:10.1175/JHM533.1.
45. Shellito, P. J., et al. (2016), SMAP soil moisture drying more rapid than observed in situ following rainfall events, Geophys. Res. Lett., 43, 8068–8075, doi:10.1002/2016GL069946.
46. Teuling, A. J., S. I. Seneviratne, C. Williams, and P. A. Troch (2006), Observed timescales of evapotranspiration response to soil moisture, Geophys. Res. Lett., 33, L23403, doi:10.1029/2006GL028178.
47. Teuling, A. J., R. Uijlenhoet, R. Hurkmans, O. Merlin, R. Panciera, J. P. Walker, and P. A. Troch (2007), Dry-end surface soil moisture variability during NAFE'06, Geophys. Res. Lett., 34, L17402, doi:10.1029/2007GL031001.
48. Tuttle, S. E., and G. D. Salvucci (2014), A new approach for validating satellite estimates of soil moisture using large-scale precipitation: Comparing AMSR-E products, Remote Sens. Environ., 142, 207–222, doi:10.1016/j.rse.2013.12.002.
49. Williams, C. A., and J. D. Albertson (2004), Soil moisture controls on canopy-scale water and carbon fluxes in an African savanna, Water Resour. Res., 40, W09302, doi:10.1029/2004WR003208.