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Benchmark products for land evapotranspiration : LandFlux-EVAL multi-data set synthesis

(2013) HYDROLOGY AND EARTH SYSTEM SCIENCES. 17(10). p.3707-3720
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Abstract
Land evapotranspiration (ET) estimates are available from several global data sets. Here, monthly global land ET synthesis products, merged from these individual data sets over the time periods 1989-1995 (7 yr) and 1989-2005 (17 yr), are presented. The merged synthesis products over the shorter period are based on a total of 40 distinct data sets while those over the longer period are based on a total of 14 data sets. In the individual data sets, ET is derived from satellite and/ or in situ observations (diagnostic data sets) or calculated via land-surface models (LSMs) driven with observations-based forcing or output from atmospheric reanalyses. Statistics for four merged synthesis products are provided, one including all data sets and three including only data sets from one category each (diagnostic, LSMs, and reanalyses). The multi-annual variations of ET in the merged synthesis products display realistic responses. They are also consistent with previous findings of a global increase in ET between 1989 and 1997 (0.13mmyr(-2) in our merged product) followed by a significant decrease in this trend (-0.18mmyr(-2)), although these trends are relatively small compared to the uncertainty of absolute ET values. The global mean ET from the merged synthesis products (based on all data sets) is 493mmyr-1 (1.35mmd-1) for both the 1989-1995 and 1989-2005 products, which is relatively low compared to previously published estimates. We estimate global runoff (precipitation minus ET) to 263mmyr(-1) (34 406 km3 yr-1) for a total land area of 130 922 000 km(2). Precipitation, being an important driving factor and input to most simulated ET data sets, presents uncertainties between single data sets as large as those in the ET estimates. In order to reduce uncertainties in current ET products, improving the accuracy of the input variables, especially precipitation, as well as the parameterizations of ET, are crucial.
Keywords
REANALYSIS DATA, SOIL-MOISTURE, GLOBAL-SCALE, SURFACE, CLIMATE, TRENDS, MODEL, 20TH-CENTURY, VARIABILITY, EVAPORATION

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MLA
Mueller, B., et al. “Benchmark Products for Land Evapotranspiration : LandFlux-EVAL Multi-Data Set Synthesis.” HYDROLOGY AND EARTH SYSTEM SCIENCES, vol. 17, no. 10, 2013, pp. 3707–20, doi:10.5194/hess-17-3707-2013.
APA
Mueller, B., Hirschi, M., Jimenez, C., Ciais, P., Dirmeyer, P. A., Dolman, A. J., … Seneviratne, S. I. (2013). Benchmark products for land evapotranspiration : LandFlux-EVAL multi-data set synthesis. HYDROLOGY AND EARTH SYSTEM SCIENCES, 17(10), 3707–3720. https://doi.org/10.5194/hess-17-3707-2013
Chicago author-date
Mueller, B., M. Hirschi, C. Jimenez, P. Ciais, P. A. Dirmeyer, A. J. Dolman, J. B. Fisher, et al. 2013. “Benchmark Products for Land Evapotranspiration : LandFlux-EVAL Multi-Data Set Synthesis.” HYDROLOGY AND EARTH SYSTEM SCIENCES 17 (10): 3707–20. https://doi.org/10.5194/hess-17-3707-2013.
Chicago author-date (all authors)
Mueller, B., M. Hirschi, C. Jimenez, P. Ciais, P. A. Dirmeyer, A. J. Dolman, J. B. Fisher, M. Jung, F. Ludwig, F. Maignan, Diego Miralles, M. F. McCabe, M. Reichstein, J. Sheffield, K. Wang, E. F. Wood, Y. Zhang, and S. I. Seneviratne. 2013. “Benchmark Products for Land Evapotranspiration : LandFlux-EVAL Multi-Data Set Synthesis.” HYDROLOGY AND EARTH SYSTEM SCIENCES 17 (10): 3707–3720. doi:10.5194/hess-17-3707-2013.
Vancouver
1.
Mueller B, Hirschi M, Jimenez C, Ciais P, Dirmeyer PA, Dolman AJ, et al. Benchmark products for land evapotranspiration : LandFlux-EVAL multi-data set synthesis. HYDROLOGY AND EARTH SYSTEM SCIENCES. 2013;17(10):3707–20.
IEEE
[1]
B. Mueller et al., “Benchmark products for land evapotranspiration : LandFlux-EVAL multi-data set synthesis,” HYDROLOGY AND EARTH SYSTEM SCIENCES, vol. 17, no. 10, pp. 3707–3720, 2013.
@article{8654406,
  abstract     = {{Land evapotranspiration (ET) estimates are available from several global data sets. Here, monthly global land ET synthesis products, merged from these individual data sets over the time periods 1989-1995 (7 yr) and 1989-2005 (17 yr), are presented. The merged synthesis products over the shorter period are based on a total of 40 distinct data sets while those over the longer period are based on a total of 14 data sets. In the individual data sets, ET is derived from satellite and/ or in situ observations (diagnostic data sets) or calculated via land-surface models (LSMs) driven with observations-based forcing or output from atmospheric reanalyses. Statistics for four merged synthesis products are provided, one including all data sets and three including only data sets from one category each (diagnostic, LSMs, and reanalyses). The multi-annual variations of ET in the merged synthesis products display realistic responses. They are also consistent with previous findings of a global increase in ET between 1989 and 1997 (0.13mmyr(-2) in our merged product) followed by a significant decrease in this trend (-0.18mmyr(-2)), although these trends are relatively small compared to the uncertainty of absolute ET values. The global mean ET from the merged synthesis products (based on all data sets) is 493mmyr-1 (1.35mmd-1) for both the 1989-1995 and 1989-2005 products, which is relatively low compared to previously published estimates. We estimate global runoff (precipitation minus ET) to 263mmyr(-1) (34 406 km3 yr-1) for a total land area of 130 922 000 km(2). Precipitation, being an important driving factor and input to most simulated ET data sets, presents uncertainties between single data sets as large as those in the ET estimates. In order to reduce uncertainties in current ET products, improving the accuracy of the input variables, especially precipitation, as well as the parameterizations of ET, are crucial.}},
  author       = {{Mueller, B. and Hirschi, M. and Jimenez, C. and Ciais, P. and Dirmeyer, P. A. and Dolman, A. J. and Fisher, J. B. and Jung, M. and Ludwig, F. and Maignan, F. and Miralles, Diego and McCabe, M. F. and Reichstein, M. and Sheffield, J. and Wang, K. and Wood, E. F. and Zhang, Y. and Seneviratne, S. I.}},
  issn         = {{1027-5606}},
  journal      = {{HYDROLOGY AND EARTH SYSTEM SCIENCES}},
  keywords     = {{REANALYSIS DATA,SOIL-MOISTURE,GLOBAL-SCALE,SURFACE,CLIMATE,TRENDS,MODEL,20TH-CENTURY,VARIABILITY,EVAPORATION}},
  language     = {{eng}},
  number       = {{10}},
  pages        = {{3707--3720}},
  title        = {{Benchmark products for land evapotranspiration : LandFlux-EVAL multi-data set synthesis}},
  url          = {{http://dx.doi.org/10.5194/hess-17-3707-2013}},
  volume       = {{17}},
  year         = {{2013}},
}

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