Effect of Cloud Cover on Temporal Upscaling of Instantaneous Evapotranspiration
Publication: Journal of Hydrologic Engineering
Volume 23, Issue 4
Abstract
Studying the effect of cloud cover on the temporal upscaling of instantaneous evapotranspiration (ET) is significant in the effort toward a more accurate and widely applied upscaling method to obtain the exact ET on a daily or longer time scale, thereby benefiting the practical applications. In this article, the authors concentrated on the effects of cloud cover in different amounts and for varying time durations, with three commonly used upscaling approaches including the constant evaporative fraction (EF) method, the constant reference evaporative fraction () method, and the constant global solar radiation () method. Transient cloud cover and persistent cloud cover were defined according to the occurrence time, namely, the cloud that appeared 1 h before or after the upscaling moment and the cloud lasting the whole day except during the upscaling time, respectively. The different cloud cover amounts were indicated by the different losses of downwelling shortwave irradiance. The instantaneous fluxes were simulated from the atmosphere-land exchange (ALEX) model, which was driven by the meteorology measurements at the Yucheng station in China. The results showed that (1) the cloud caused the deterioration of the underestimation or overestimation of the daily ET upscaling in comparison with the results of clear days. Specifically, the persistent cloud cover had a more significant effect on the three upscaling methods; for the transient cloud cover, the upscaling results had larger deviations when the cloud appeared before the upscaling moments than when it appeared after them; (2) the effects on the upscaling factors and the upscaling results both increased proportionally with the growth of the cloud cover; and (3) the constant EFr method performed best for both clear and cloudy situations, with a minimal bias less than (5.5%) and a root-mean-square error (RMSE) less than (20.6%); the EF method was most severely affected, with a bias up to (28.3%) and an RMSE up to (57.7%); the method had an intermediate accuracy with a bias less than (24.6%) and an RMSE less than (47.1%); and (4) all three approaches were influenced most significantly around noontime.
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Acknowledgments
The work was supported by the National Natural Science Foundation of China under grants 41571351, 41571352, and 41231170; the International Science and Technology Cooperation Program of China under grant 2014DFE10220; and the National Basic Research Program of China (973 Program) under grant 2013CB733402.
References
Allen, R. G., et al. (2006). “A recommendation on standardized surface resistance for hourly calculation of reference by the FAO 56 Penman-Monteith method.” Agric. Water Manage., 81(1–2), 1–22.
Allen, R. G., et al. (2007). “Satellite-based energy balance for mapping evapotranspiration with internalized calibration (metric)—Applications.” J. Irrig. Drain. Eng., 395–406.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). Crop evapotranspiration—Guidelines for computing crop water requirements, FAO, Rome, 56.
Anderson, M. C., Norman, J. M., Diak, G. R., Kustas, W. P., and Mecikalski, J. R. (1997). “A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing.” Remote Sens. Environ., 60(2), 195–216.
Anderson, M. C., Norman, J. M., Meyers, T. P., and Diak, G. R. (2000). “An analytical model for estimating canopy transpiration and carbon assimilation fluxes based on canopy light-use efficiency.” Agric. For. Meteorol., 101(4), 265–289.
ASCE-EWRI (Environmental and Water Resources Institute). (2005). The ASCE standardized reference evapotranspiration equation, Reston, VA, 173.
Bastiaanssen, W. G. M. (2000). “SEBAL-based sensible and latent heat fluxes in the irrigated Gediz basin, turkey.” J. Hydrol., 229(1–2), 87–100.
Brutsaert, W., and Sugita, M. (1992). “Application of self-preservation in the diurnal evolution of the surface energy budget to determine daily evaporation.” J. Geophys. Res. Atmos., 97(D17), 18377–18382.
Bussieres, N., and Goita, K. (1997). “Evaluation of strategies to deal with cloudy situation in satellite evapotranspiration algorithm.” Proc., 3rd Int. Workshop NHRI Symp. 17, Goddard Space Flight Center, Greenbelt, MD, 33–43.
Cammalleri, C., Anderson, M. C., and Kustas, W. P. (2014). “Upscaling of evapotranspiration fluxes from instantaneous to daytime scales for thermal remote sensing applications.” Hydrol. Earth Syst. Sci., 18(5), 1885–1894.
Carlson, T. N., Capehart, W. J., and Gillies, R. R. (1995). “A new look at the simplified method for remote sensing of daily evapotranspiration.” Remote Sens. Environ., 54(2), 161–167.
Chávez, J. L., Neale, C. M. U., Prueger, J. H., and Kustas, W. P. (2008). “Daily evapotranspiration estimates from extrapolating instantaneous airborne remote sensing ET values.” Irrig. Sci., 27(1), 67–81.
Colaizzi, P. D., Evett, S. R., Howell, T. A., and Tolk, J. A. (2006). “Comparison of five models to scale daily evapotranspiration from one-time-of-day measurements.” Trans. ASABE, 49(5), 1409–1417.
Courault, D., Seguin, B., and Olioso, A. (2005). “Review on estimation of evapotranspiration from remote sensing: From empirical to numerical modeling approaches.” Irrig. Drain. Syst., 19(3), 223–249.
Crago, R. D. (1996). “Conservation and variability of the evaporative fraction during the daytime.” J. Hydrol., 180(1–4), 173–194.
Delogu, E., et al. (2012). “Temporal variations of evapotranspiration: Reconstruction using instantaneous satellite measurements in the thermal infrared domain.” Hydrol. Earth Syst. Sci., 9(2), 1699–1740.
Galleguillos, M., Jacob, F., Prévot, L., Lagacherie, P., and Liang, S. (2011). “Mapping daily evapotranspiration over a mediterranean vineyard watershed.” IEEE Geosci. Remote Sens. Lett., 8(1), 168–172.
Gentine, P., Entekhabi, D., Chehbouni, A., Boulet, G., and Duchemin, B. (2007). “Analysis of evaporative fraction diurnal behaviour.” Agric. For. Meteorol., 143(1–2), 13–29.
Gómez, M., Olioso, A., Sobrino, J. A., and Jacob, F. (2005). “Retrieval of evapotranspiration over the alpilles/reseda experimental site using airborne polder sensor and a thermal camera.” Remote Sens. Environ., 96(3–4), 399–408.
Hoedjes, J. C. B., Chehbouni, A., Jacob, F., Ezzahar, J., and Boulet, G. (2008). “Deriving daily evapotranspiration from remotely sensed instantaneous evaporative fraction over olive orchard in semi-arid Morocco.” J. Hydrol., 354(1–4), 53–64.
Houborg, R., Anderson, M. C., Norman, J. M., Wilson, T., and Meyers, T. (2009). “Intercomparison of a ‘bottom-up’ and ‘top-down’ modeling paradigm for estimating carbon and energy fluxes over a variety of vegetative regimes across the U.S.” Agric. For. Meteorol., 149(11), 1875–1895.
Jackson, R. D., Hatfield, J. L., Reginato, R. J., Idso, S. B., and Pinter, P. J. (1983). “Estimation of daily evapotranspiration from one time-of-day measurements.” Agric. Water Manage., 7(1–3), 351–362.
Lhomme, J. P., and Elguero, E. (1999). “Examination of evaporative fraction diurnal behavior using a soil-vegetation model coupled with a mixed-layer model.” Hydrol. Earth Syst. Sci., 3(2), 259–270.
Li, Z.-L., et al. (2009). “A review of current methodologies for regional evapotranspiration estimation from remotely sensed data.” Sensors, 9(5), 3801–3853.
Long, C. N., and Ackerman, T. P. (2000). “Identification of clear skies from broadband pyranometer measurements and calculation of downwelling shortwave cloud effects.” J. Geophys. Res. Atmos., 105(D12), 15609–15626.
Long, C. N., Ackerman, T. P., Gaustad, K. L., and Cole, J. N. S. (2006). “Estimation of fractional sky cover from broadband shortwave radiometer measurements.” J. Geophys. Res., 111(D11), 1937–1952.
Lu, J., et al. (2014). “Daily evaporative fraction parameterization scheme driven by day-night differences in surface parameters: Improvement and validation.” Remote Sens., 6(5), 4369–4390.
Lu, J., Tang, R., Tang, H., and Li, Z. L. (2013). “Derivation of daily evaporative fraction based on temporal variations in surface temperature, air temperature, and net radiation.” Remote Sens., 5(10), 5369–5396.
Nichols, W. E., and Cuenca, R. H. (1993). “Evaluation of the evaporative fraction for parameterization of the surface energy balance.” Water Resour. Res., 29(11), 3681–3690.
Niel, T. V., and Mcvicar, T. R. (2012). “Upscaling latent heat flux for thermal remote sensing studies: Comparison of alternative approaches and correction of bias.” J. Hydrol., 468(4), 35–46.
Niel, T. G. V., Mcvicar, T. R., Roderick, M. L., Dijk, A. I. J. M. V., Renzullo, L. J., and Gorsel, E. V. (2011). “Correcting for systematic error in satellite-derived latent heat flux due to assumptions in temporal scaling: Assessment from flux tower observations.” J. Hydrol., 409(1–2), 140–148.
Rasmus, H., Marthac, A., Johnm, N., Tim, W., and Tilden, M. (2009). “Intercomparison of a ‘bottom-up’ and ‘top-down’ modeling paradigm for estimating carbon and energy fluxes over a variety of vegetative regimes across the U.S.” Agric. For. Meteorol., 149(11), 1875–1895.
Rowntree, P. R. (1991). “Atmospheric parameterization schemes for evaporation over land: Basic concepts and climate modeling aspects.” Land surface evaporation, T. J. Sehmuggeand and J. C. Andr, eds., Springer, New York, 5–29.
Ryu, Y., et al. (2012). “On the temporal upscaling of evapotranspiration from instantaneous remote sensing measurements to 8-day mean daily-sums.” Agric. For. Meteorol., 152(1), 212–222.
Shuttleworth, W. J. (1989). FIFE: The variation in energy partition at surface flux sites, IAHS.
Sugita, M., and Brutsaert, W. (1991). “Daily evaporation over a region from lower boundary layer profiles.” Water Resour. Res., 27(5), 747–752.
Tang, R., et al. (2011). “An intercomparison of three remote sensing-based energy balance models using large aperture scintillometer measurements over a wheat-corn production region.” Remote Sens. Environ., 115(12), 3187–3202.
Tang, R., and Li, Z. (2017). “An improved constant evaporative fraction method for estimating daily evapotranspiration from remotely sensed instantaneous observations.” Geophys. Res. Lett., 44(5), 2319–2326.
Tang, R., Li, Z. L., and Sun, X. (2013). “Temporal upscaling of instantaneous evapotranspiration: An intercomparison of four methods using eddy covariance measurements and MODIS data.” Remote Sens. Environ., 138(6), 102–118.
Tang, R., Li, Z., Sun, X., and Bi, Y. (2017). “Temporal upscaling of instantaneous evapotranspiration on clear-sky days using the constant reference evaporative fraction method with fixed or variable surface resistances at two cropland sites.” J. Geophys. Res. Atmos., 122(2), 784–801.
Teixeira, A., Bastiaanssen, W. G. M., Ahmad, M. D., and Bos, M. G. (2009). “Reviewing SEBAL input parameters for assessing evapotranspiration and water productivity for the low-middle São Francisco River basin, Brazil. A: Calibration and validation.” Agric. For. Meteorol., 149(3), 462–476.
Trezza, R. (2002). “Evapotranspiration using a satellite-based surface energy balance with standardized ground control.” Ph.D. dissertation, USU, Logan, UT, 339.
Xu, T., et al. (2015). “Temporal upscaling and reconstruction of thermal remotely sensed instantaneous evapotranspiration.” Remote Sens., 7(3), 3400–3425.
Zhang, L., and Lemeur, R. (1995). “Evaluation of daily evapotranspiration estimates from instantaneous measurements.” Agric. For. Meteorol., 74(1–2), 139–154.
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Journal of Hydrologic Engineering
Volume 23 • Issue 4 • April 2018
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©2018 American Society of Civil Engineers.
History
Received: Oct 10, 2016
Accepted: Oct 12, 2017
Published online: Feb 6, 2018
Published in print: Apr 1, 2018
Discussion open until: Jul 6, 2018
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