Articles | Volume 13, issue 10
https://doi.org/10.5194/hess-13-1775-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-13-1775-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
05 Oct 2009
Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland
L. Jia
Alterra, Wageningen University and Research Centre, The Netherlands
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China
G. Xi
National Marine Data & Information Service, Tianjin, China
S. Liu
State key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing, China
C. Huang
Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
Y. Yan
China National Climate Centre, Beijing, China
G. Liu
Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
Related subject area
Subject: Hillslope hydrology | Techniques and Approaches: Theory development
Young and new water fractions in soil and hillslope waters
Energy efficiency in transient surface runoff and sediment fluxes on hillslopes – a concept to quantify the effectiveness of extreme events
Morphological controls on surface runoff: an interpretation of steady-state energy patterns, maximum power states and dissipation regimes within a thermodynamic framework
Soil moisture: variable in space but redundant in time
A history of the concept of time of concentration
Are dissolved organic carbon concentrations in riparian groundwater linked to hydrological pathways in the boreal forest?
The influence of diurnal snowmelt and transpiration on hillslope throughflow and stream response
Slope–velocity equilibrium and evolution of surface roughness on a stony hillslope
Assessment of land use impact on hydraulic threshold conditions for gully head cut initiation
Technical note: Inference in hydrology from entropy balance considerations
Ecohydrological effects of stream–aquifer water interaction: a case study of the Heihe River basin, northwestern China
Hillslope-scale experiment demonstrates the role of convergence during two-step saturation
Impacts of climate variability on wetland salinization in the North American prairies
Resolving structural errors in a spatially distributed hydrologic model using ensemble Kalman filter state updates
Runoff formation from experimental plot, field, to small catchment scales in agricultural North Huaihe River Plain, China
Addressing secondary school students' everyday ideas about freshwater springs in order to develop an instructional tool to promote conceptual reconstruction
Hydrological heterogeneity in Mediterranean reclaimed slopes: runoff and sediment yield at the patch and slope scales along a gradient of overland flow
Effect of hydraulic parameters on sediment transport capacity in overland flow over erodible beds
Large-scale runoff generation – parsimonious parameterisation using high-resolution topography
Estimating surface fluxes over middle and upper streams of the Heihe River Basin with ASTER imagery
Seasonal evaluation of the land surface scheme HTESSEL against remote sensing derived energy fluxes of the Transdanubian region in Hungary
Analysis of surface soil moisture patterns in agricultural landscapes using Empirical Orthogonal Functions
Modelling field scale water partitioning using on-site observations in sub-Saharan rainfed agriculture
Evaluation of alternative formulae for calculation of surface temperature in snowmelt models using frequency analysis of temperature observations
Growth of a high-elevation large inland lake, associated with climate change and permafrost degradation in Tibet
Selection of an appropriately simple storm runoff model
Spatial mapping of leaf area index using hyperspectral remote sensing for hydrological applications with a particular focus on canopy interception
Use of satellite-derived data for characterization of snow cover and simulation of snowmelt runoff through a distributed physically based model of runoff generation
A contribution to understanding the turbidity behaviour in an Amazon floodplain
Global spatial optimization with hydrological systems simulation: application to land-use allocation and peak runoff minimization
Implementing small scale processes at the soil-plant interface – the role of root architectures for calculating root water uptake profiles
Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity
Modelling the inorganic nitrogen behaviour in a small Mediterranean forested catchment, Fuirosos (Catalonia)
Soil bioengineering for risk mitigation and environmental restoration in a humid tropical area
Climate and terrain factors explaining streamflow response and recession in Australian catchments
Soil moisture active and passive microwave products: intercomparison and evaluation over a Sahelian site
Characteristics of 2-D convective structures in Catalonia (NE Spain): an analysis using radar data and GIS
The contribution of groundwater discharge to the overall water budget of two typical Boreal lakes in Alberta/Canada estimated from a radon mass balance
Actual daily evapotranspiration estimated from MERIS and AATSR data over the Chinese Loess Plateau
Calibration analysis for water storage variability of the global hydrological model WGHM
Earth's Critical Zone and hydropedology: concepts, characteristics, and advances
Reducing scale dependence in TOPMODEL using a dimensionless topographic index
Spatial variation in soil active-layer geochemistry across hydrologic margins in polar desert ecosystems
Nitrogen retention in natural Mediterranean wetland-streams affected by agricultural runoff
Recent trends in groundwater levels in a highly seasonal hydrological system: the Ganges-Brahmaputra-Meghna Delta
Water availability, demand and reliability of in situ water harvesting in smallholder rain-fed agriculture in the Thukela River Basin, South Africa
Variability of the groundwater sulfate concentration in fractured rock slopes: a tool to identify active unstable areas
Copula based multisite model for daily precipitation simulation
Solid phase evolution in the Biosphere 2 hillslope experiment as predicted by modeling of hydrologic and geochemical fluxes
Deriving a global river network map and its sub-grid topographic characteristics from a fine-resolution flow direction map
Marius G. Floriancic, Scott T. Allen, and James W. Kirchner
EGUsphere, https://doi.org/10.5194/egusphere-2024-437, https://doi.org/10.5194/egusphere-2024-437, 2024
Short summary
Short summary
We use a 3-year timeseries of tracer data in streamflow and soils to illustrate how water moves through the subsurface to become streamflow. Less than 50% of soil water consists of rainfall from the last 3 weeks. Most annual streamflow is older than 3 months, waters in deep subsurface layers are even older, thus deep layers are not the only source of streamflow. After wet periods more rainfall was found in the subsurface and the stream, suggesting that water moves quicker through wet landscapes.
Samuel Schroers, Ulrike Scherer, and Erwin Zehe
Hydrol. Earth Syst. Sci., 27, 2535–2557, https://doi.org/10.5194/hess-27-2535-2023, https://doi.org/10.5194/hess-27-2535-2023, 2023
Short summary
Short summary
The hydrological cycle shapes our landscape. With an accelerating change of the world's climate and hydrological dynamics, concepts of evolution of natural systems become more important. In this study, we elaborated a thermodynamic framework for runoff and sediment transport and show from model results as well as from measurements during extreme events that the developed concept is useful for understanding the evolution of the system's mass, energy, and entropy fluxes.
Samuel Schroers, Olivier Eiff, Axel Kleidon, Ulrike Scherer, Jan Wienhöfer, and Erwin Zehe
Hydrol. Earth Syst. Sci., 26, 3125–3150, https://doi.org/10.5194/hess-26-3125-2022, https://doi.org/10.5194/hess-26-3125-2022, 2022
Short summary
Short summary
In hydrology the formation of landform patterns is of special interest as changing forcings of the natural systems, such as climate or land use, will change these structures. In our study we developed a thermodynamic framework for surface runoff on hillslopes and highlight the differences of energy conversion patterns on two related spatial and temporal scales. The results indicate that surface runoff on hillslopes approaches a maximum power state.
Mirko Mälicke, Sibylle K. Hassler, Theresa Blume, Markus Weiler, and Erwin Zehe
Hydrol. Earth Syst. Sci., 24, 2633–2653, https://doi.org/10.5194/hess-24-2633-2020, https://doi.org/10.5194/hess-24-2633-2020, 2020
Short summary
Short summary
We could show that distributed soil moisture time series bear a considerable amount of information about dynamic changes in soil moisture. We developed a new method to describe spatial patterns and analyze their persistency. By combining uncertainty propagation with information theory, we were able to calculate the information content of spatial similarity with respect to measurement uncertainty. This does help to understand when and why the soil is drying in an organized manner.
Keith J. Beven
Hydrol. Earth Syst. Sci., 24, 2655–2670, https://doi.org/10.5194/hess-24-2655-2020, https://doi.org/10.5194/hess-24-2655-2020, 2020
Short summary
Short summary
The concept of time of concentration in the analysis of catchment responses dates back over 150 years. It is normally discussed in terms of the velocity of flow of a water particle from the furthest part of a catchment to the outlet. This is also the basis for the definition in the International Glossary of Hydrology, but this is in conflict with the way in which it is commonly used. This paper provides a clarification of the concept and its correct useage.
Stefan W. Ploum, Hjalmar Laudon, Andrés Peralta-Tapia, and Lenka Kuglerová
Hydrol. Earth Syst. Sci., 24, 1709–1720, https://doi.org/10.5194/hess-24-1709-2020, https://doi.org/10.5194/hess-24-1709-2020, 2020
Short summary
Short summary
Near-stream areas, or riparian zones, are important for the health of streams and rivers. If these areas are disturbed by forestry or other anthropogenic activity, the water quality and all life in streams may be at risk. We examined which riparian areas are particularly sensitive. We found that only a few wet areas bring most of the rainwater from the landscape to the stream, and they have a unique water quality. In order to maintain healthy streams and rivers, these areas should be protected.
Brett Woelber, Marco P. Maneta, Joel Harper, Kelsey G. Jencso, W. Payton Gardner, Andrew C. Wilcox, and Ignacio López-Moreno
Hydrol. Earth Syst. Sci., 22, 4295–4310, https://doi.org/10.5194/hess-22-4295-2018, https://doi.org/10.5194/hess-22-4295-2018, 2018
Short summary
Short summary
The hydrology of high-elevation headwaters in midlatitudes is typically dominated by snow processes, which are very sensitive to changes in energy inputs at the top of the snowpack. We present a data analyses that reveal how snowmelt and transpiration waves induced by the diurnal solar cycle generate water pressure fluctuations that propagate through the snowpack–hillslope–stream system. Changes in diurnal energy inputs alter these pressure cycles with potential ecohydrological consequences.
Mark A. Nearing, Viktor O. Polyakov, Mary H. Nichols, Mariano Hernandez, Li Li, Ying Zhao, and Gerardo Armendariz
Hydrol. Earth Syst. Sci., 21, 3221–3229, https://doi.org/10.5194/hess-21-3221-2017, https://doi.org/10.5194/hess-21-3221-2017, 2017
Short summary
Short summary
This study presents novel scientific understanding about the way that hillslope surfaces form when exposed to rainfall erosion, and the way those surfaces interact with and influence runoff velocities during rain events. The data show that hillslope surfaces form such that flow velocities are independent of slope gradient and dependent on flow rates alone. This result represents a shift in thinking about surface water runoff.
Aliakbar Nazari Samani, Qiuwen Chen, Shahram Khalighi, Robert James Wasson, and Mohammad Reza Rahdari
Hydrol. Earth Syst. Sci., 20, 3005–3012, https://doi.org/10.5194/hess-20-3005-2016, https://doi.org/10.5194/hess-20-3005-2016, 2016
Short summary
Short summary
We hypothesized that land use had important effects on hydraulic threshold conditions for gully head cut initiation. We investigated the effects using an experimental plot. The results indicated that the use of a threshold value of τcr = 35 dyne cm−2 and ωu = 0.4 Cm S−1 in physically based soil erosion models is susceptible to high uncertainty when assessing gully erosion.
Stefan J. Kollet
Hydrol. Earth Syst. Sci., 20, 2801–2809, https://doi.org/10.5194/hess-20-2801-2016, https://doi.org/10.5194/hess-20-2801-2016, 2016
Yujin Zeng, Zhenghui Xie, Yan Yu, Shuang Liu, Linying Wang, Binghao Jia, Peihua Qin, and Yaning Chen
Hydrol. Earth Syst. Sci., 20, 2333–2352, https://doi.org/10.5194/hess-20-2333-2016, https://doi.org/10.5194/hess-20-2333-2016, 2016
Short summary
Short summary
In arid areas, stream–aquifer water exchange essentially sustains the growth and subsistence of riparian ecosystem. To quantify this effect for intensity and range, a stream–riverbank scheme was incorporated into a state-of-the-art land model, and some runs were set up over Heihe River basin, northwestern China. The results show that the hydrology circle is significantly changed, and the ecological system is benefitted greatly by the river water lateral transfer within a 1 km range to the stream.
A. I. Gevaert, A. J. Teuling, R. Uijlenhoet, S. B. DeLong, T. E. Huxman, L. A. Pangle, D. D. Breshears, J. Chorover, J. D. Pelletier, S. R. Saleska, X. Zeng, and P. A. Troch
Hydrol. Earth Syst. Sci., 18, 3681–3692, https://doi.org/10.5194/hess-18-3681-2014, https://doi.org/10.5194/hess-18-3681-2014, 2014
U. Nachshon, A. Ireson, G. van der Kamp, S. R. Davies, and H. S. Wheater
Hydrol. Earth Syst. Sci., 18, 1251–1263, https://doi.org/10.5194/hess-18-1251-2014, https://doi.org/10.5194/hess-18-1251-2014, 2014
J. H. Spaaks and W. Bouten
Hydrol. Earth Syst. Sci., 17, 3455–3472, https://doi.org/10.5194/hess-17-3455-2013, https://doi.org/10.5194/hess-17-3455-2013, 2013
S. Han, D. Xu, and S. Wang
Hydrol. Earth Syst. Sci., 16, 3115–3125, https://doi.org/10.5194/hess-16-3115-2012, https://doi.org/10.5194/hess-16-3115-2012, 2012
S. Reinfried, S. Tempelmann, and U. Aeschbacher
Hydrol. Earth Syst. Sci., 16, 1365–1377, https://doi.org/10.5194/hess-16-1365-2012, https://doi.org/10.5194/hess-16-1365-2012, 2012
L. Merino-Martín, M. Moreno-de las Heras, S. Pérez-Domingo, T. Espigares, and J. M. Nicolau
Hydrol. Earth Syst. Sci., 16, 1305–1320, https://doi.org/10.5194/hess-16-1305-2012, https://doi.org/10.5194/hess-16-1305-2012, 2012
M. Ali, G. Sterk, M. Seeger, M. Boersema, and P. Peters
Hydrol. Earth Syst. Sci., 16, 591–601, https://doi.org/10.5194/hess-16-591-2012, https://doi.org/10.5194/hess-16-591-2012, 2012
L. Gong, S. Halldin, and C.-Y. Xu
Hydrol. Earth Syst. Sci., 15, 2481–2494, https://doi.org/10.5194/hess-15-2481-2011, https://doi.org/10.5194/hess-15-2481-2011, 2011
W. Ma, Y. Ma, Z. Hu, Z. Su, J. Wang, and H. Ishikawa
Hydrol. Earth Syst. Sci., 15, 1403–1413, https://doi.org/10.5194/hess-15-1403-2011, https://doi.org/10.5194/hess-15-1403-2011, 2011
E. L. Wipfler, K. Metselaar, J. C. van Dam, R. A. Feddes, E. van Meijgaard, L. H. van Ulft, B. van den Hurk, S. J. Zwart, and W. G. M. Bastiaanssen
Hydrol. Earth Syst. Sci., 15, 1257–1271, https://doi.org/10.5194/hess-15-1257-2011, https://doi.org/10.5194/hess-15-1257-2011, 2011
W. Korres, C. N. Koyama, P. Fiener, and K. Schneider
Hydrol. Earth Syst. Sci., 14, 751–764, https://doi.org/10.5194/hess-14-751-2010, https://doi.org/10.5194/hess-14-751-2010, 2010
H. Makurira, H. H. G. Savenije, and S. Uhlenbrook
Hydrol. Earth Syst. Sci., 14, 627–638, https://doi.org/10.5194/hess-14-627-2010, https://doi.org/10.5194/hess-14-627-2010, 2010
C. H. Luce and D. G. Tarboton
Hydrol. Earth Syst. Sci., 14, 535–543, https://doi.org/10.5194/hess-14-535-2010, https://doi.org/10.5194/hess-14-535-2010, 2010
J. Liu, S. Kang, T. Gong, and A. Lu
Hydrol. Earth Syst. Sci., 14, 481–489, https://doi.org/10.5194/hess-14-481-2010, https://doi.org/10.5194/hess-14-481-2010, 2010
A. I. J. M. van Dijk
Hydrol. Earth Syst. Sci., 14, 447–458, https://doi.org/10.5194/hess-14-447-2010, https://doi.org/10.5194/hess-14-447-2010, 2010
H. H. Bulcock and G. P. W. Jewitt
Hydrol. Earth Syst. Sci., 14, 383–392, https://doi.org/10.5194/hess-14-383-2010, https://doi.org/10.5194/hess-14-383-2010, 2010
L. S. Kuchment, P. Romanov, A. N. Gelfan, and V. N. Demidov
Hydrol. Earth Syst. Sci., 14, 339–350, https://doi.org/10.5194/hess-14-339-2010, https://doi.org/10.5194/hess-14-339-2010, 2010
E. Alcântara, E. Novo, J. Stech, J. Lorenzzetti, C. Barbosa, A. Assireu, and A. Souza
Hydrol. Earth Syst. Sci., 14, 351–364, https://doi.org/10.5194/hess-14-351-2010, https://doi.org/10.5194/hess-14-351-2010, 2010
I.-Y. Yeo and J.-M. Guldmann
Hydrol. Earth Syst. Sci., 14, 325–338, https://doi.org/10.5194/hess-14-325-2010, https://doi.org/10.5194/hess-14-325-2010, 2010
C. L. Schneider, S. Attinger, J.-O. Delfs, and A. Hildebrandt
Hydrol. Earth Syst. Sci., 14, 279–289, https://doi.org/10.5194/hess-14-279-2010, https://doi.org/10.5194/hess-14-279-2010, 2010
G. Baroni, A. Facchi, C. Gandolfi, B. Ortuani, D. Horeschi, and J. C. van Dam
Hydrol. Earth Syst. Sci., 14, 251–270, https://doi.org/10.5194/hess-14-251-2010, https://doi.org/10.5194/hess-14-251-2010, 2010
C. Medici, S. Bernal, A. Butturini, F. Sabater, M. Martin, A. J. Wade, and F. Frances
Hydrol. Earth Syst. Sci., 14, 223–237, https://doi.org/10.5194/hess-14-223-2010, https://doi.org/10.5194/hess-14-223-2010, 2010
A. Petrone and F. Preti
Hydrol. Earth Syst. Sci., 14, 239–250, https://doi.org/10.5194/hess-14-239-2010, https://doi.org/10.5194/hess-14-239-2010, 2010
A. I. J. M. van Dijk
Hydrol. Earth Syst. Sci., 14, 159–169, https://doi.org/10.5194/hess-14-159-2010, https://doi.org/10.5194/hess-14-159-2010, 2010
C. Gruhier, P. de Rosnay, S. Hasenauer, T. Holmes, R. de Jeu, Y. Kerr, E. Mougin, E. Njoku, F. Timouk, W. Wagner, and M. Zribi
Hydrol. Earth Syst. Sci., 14, 141–156, https://doi.org/10.5194/hess-14-141-2010, https://doi.org/10.5194/hess-14-141-2010, 2010
M. Barnolas, T. Rigo, and M. C. Llasat
Hydrol. Earth Syst. Sci., 14, 129–139, https://doi.org/10.5194/hess-14-129-2010, https://doi.org/10.5194/hess-14-129-2010, 2010
A. Schmidt, J. J. Gibson, I. R. Santos, M. Schubert, K. Tattrie, and H. Weiss
Hydrol. Earth Syst. Sci., 14, 79–89, https://doi.org/10.5194/hess-14-79-2010, https://doi.org/10.5194/hess-14-79-2010, 2010
R. Liu, J. Wen, X. Wang, L. Wang, H. Tian, T. T. Zhang, X. K. Shi, J. H. Zhang, and SH. N. Lv
Hydrol. Earth Syst. Sci., 14, 47–58, https://doi.org/10.5194/hess-14-47-2010, https://doi.org/10.5194/hess-14-47-2010, 2010
S. Werth and A. Güntner
Hydrol. Earth Syst. Sci., 14, 59–78, https://doi.org/10.5194/hess-14-59-2010, https://doi.org/10.5194/hess-14-59-2010, 2010
H. Lin
Hydrol. Earth Syst. Sci., 14, 25–45, https://doi.org/10.5194/hess-14-25-2010, https://doi.org/10.5194/hess-14-25-2010, 2010
A. Ducharne
Hydrol. Earth Syst. Sci., 13, 2399–2412, https://doi.org/10.5194/hess-13-2399-2009, https://doi.org/10.5194/hess-13-2399-2009, 2009
J. E. Barrett, M. N. Gooseff, and C. Takacs-Vesbach
Hydrol. Earth Syst. Sci., 13, 2349–2358, https://doi.org/10.5194/hess-13-2349-2009, https://doi.org/10.5194/hess-13-2349-2009, 2009
V. García-García, R. Gómez, M. R. Vidal-Abarca, and M. L. Suárez
Hydrol. Earth Syst. Sci., 13, 2359–2371, https://doi.org/10.5194/hess-13-2359-2009, https://doi.org/10.5194/hess-13-2359-2009, 2009
M. Shamsudduha, R. E. Chandler, R. G. Taylor, and K. M. Ahmed
Hydrol. Earth Syst. Sci., 13, 2373–2385, https://doi.org/10.5194/hess-13-2373-2009, https://doi.org/10.5194/hess-13-2373-2009, 2009
J. C. M. Andersson, A. J. B. Zehnder, G. P. W. Jewitt, and H. Yang
Hydrol. Earth Syst. Sci., 13, 2329–2347, https://doi.org/10.5194/hess-13-2329-2009, https://doi.org/10.5194/hess-13-2329-2009, 2009
S. Binet, L. Spadini, C. Bertrand, Y. Guglielmi, J. Mudry, and C. Scavia
Hydrol. Earth Syst. Sci., 13, 2315–2327, https://doi.org/10.5194/hess-13-2315-2009, https://doi.org/10.5194/hess-13-2315-2009, 2009
A. Bárdossy and G. G. S. Pegram
Hydrol. Earth Syst. Sci., 13, 2299–2314, https://doi.org/10.5194/hess-13-2299-2009, https://doi.org/10.5194/hess-13-2299-2009, 2009
K. Dontsova, C. I. Steefel, S. Desilets, A. Thompson, and J. Chorover
Hydrol. Earth Syst. Sci., 13, 2273–2286, https://doi.org/10.5194/hess-13-2273-2009, https://doi.org/10.5194/hess-13-2273-2009, 2009
D. Yamazaki, T. Oki, and S. Kanae
Hydrol. Earth Syst. Sci., 13, 2241–2251, https://doi.org/10.5194/hess-13-2241-2009, https://doi.org/10.5194/hess-13-2241-2009, 2009
Cited articles
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop Evapotranspiration, Guideline for Computing Crop Water Requirements, FAO Irrigation and Drainage Paper 56, FAO Rome, Italy, 300 pp., 1998.
Allen, R. G., Smith, M., Pereira, L. S., and Perrier, A.: An update for the calculation of reference evaporation, ICID Bulletin, 43, 35–92, 1994.
Bastiaanssen, W. G. M., Menenti, M., Feddes, R. A., and Holtslag, A. A. M.: A remote sensing surface energy balance algorithm for land (SEBAL) 1. Formulation, J. Hydrol., 212–213, 198–212, 1998a.
Bastiaanssen, W. G. M., Pelgrum, H., Wang, J., Ma, Y., Moreno, J. F., Roerink, G. J., and van der Wal, T.: A remote sensing surface energy balance algorithm for land (SEBAL) 2. Validation, J. Hydrol., 213, 213–229, 1998b.
Brutsaert, W. H.: Evaporation into the Atmosphere: Theory, History, and Applications, Reidel, Dordrecht, The Netherlands, 299 pp., 1982.
Cao, M., Liu, G., and Zhang, X.: An object-oriented approach to map wetland vegetation: a case study of yellow river delta, IEEE International Geoscience and Remote Sensing Symposium, 2007 (IGARSS 2007), 23–28 July 2007, 4585–4587, 2007.
Cleugh, H. A., Leuning, R., Mu, Q.-Z., and Running, S. W.: Regional evaporation estimates from flux tower and MODIS satellite data, Remote Sens. Environ., 106, 285–304, 2007.
Crago, R. D.: Conservation and variability of the evaporative fraction during the daytime, J. Hydrol., 180, 173–194, 1996.
Daamen, M.: Estimation of large scale daily evapotranspiration using geostationary meteorological satellite observations, Wageningen University, MSc thesis, 2008.
Doorenbos, J. and Pruitt, W. O.: Crop water requirements, FAO Irrigation and Drainage Paper No. 24 (revised), Food and Agriculture Organization, Rome, Italy, 1977.
Fermor, P. M., Hedges, P. D., Gilbert, J. C., and Gowing, D. J. G.: Reedbed evapotranspiration rates in England, Hydrol. Process., 15, 621–631, 2001.
Gao, Z., Bian, L., Lu, C., Lu, L., Wang, J., and Wang, Y.: Estimation of aerodynamic parameters in urban areas, J. Appl. Meteorol. Sci., 13, 16–34, 2002.
Gillies, R. R. and Carlson, T. N.: Thermal remote sensing of surface soil water content with partial vegetation cover for incorporation into climate models, J. Appl. Meteorol., 34, 745–756, 1995.
Gurney, R. J. and Hsu, A. Y.: Relating evaporative fraction to remotely sensed data at the FIFE site. Symposium on FIFE, First ISLSCP Field Experiment, American Meteorological Society, Boston, MA, 112–116, 1990.
He, Y., Su, Z., Jia, L., Zhang, Y., Roerink, G., Wang, S., Wen, J., and Hou, Y.: Estimation of Daily Evapotranspiration in Northern China Plain by Using MODIS/TERRA Images, in: Proceedings of SPIE, Volume 5976, Remote Sensing for Agriculture, Ecosystems, and Hydrology VII, Manfred Owe, Guido D'Urso, Editors, 413–424, 2005.
Jia, L. and Daamen, M.: Estimation of large scale daily evapotranspiration using geostationary meteorological satellite observations, Geophysical Research Abstracts, 11, EGU2009-7207, EGU General Assembly 2009, 2009.
Jia, L., Menenti, M., Nerry, F., Najjar, G., Stoll, M. P., and Su, Z.: Evaluation of the Surface Energy Balance Index with the field and airborne data collected at Hartheim and Colmar, Proceddings of the Final Results workshop on DAISEX (Digital Airborne Spectrometer EXperiemnt), (15–16 March, 2001), ESTEC-ESA, SP-499, 235–240, 2001.
Jia, L., Su, Z., van den Hurk, B. J. J. M., Menenti, M., Moene, A. F., de Bruin, H. A. R., Baselga Yrisarry, J. J., Ibanez, M., and Cuesta, A.: Estimation of sensible heat flux using the Surface Energy Balance System (SEBS) and ATSR measurements, J. Phys. Chem. Earth, 8, 75–88, 2003.
Jia, L.: Modeling heat exchanges at the land-atmosphere interface using multi-angular thermal infrared measurements, Wageningen University, ISBN 90-8504-041-8, 199 pp., 2004.
Jia, L., Xi, G., Liu, G., Huang, C., Liu, S., Song, S., and Lian, Y.: Wetland vegetation water consumption over the natural reserve area in Yellow River Delta, in: Proceedings of the 3rd International Yellow River Forum (IYRF), Dongying, China, 16–19 October, 2007.
Jiang, L. and Islam, S.: A Methodology for Estimation of Surface Evapotranspiration over Large Areas using Remote Sensing Observations, Geophys. Res. Lett., 26, 2773–2776, 1999.
Kustas, W. P. and Daughtry, C. S. T.: Estimation of the soil heat flux/net radiation ratio from spectral data, Agr. Forest Meteorol., 49, 205–223, 1989.
Kustas, W. P. and Norman, J. M.: Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover, Agr. Forest Meteorol., 94, 13–29, 1999.
Leuning, R., Zhang, Y., Rajaud, A., Cleugh, H., and Tu, K.: A simple surface conductance model to estimate regional evaporation using MODIS leaf area index and the Penman-Monteith equation, Water Resour. Res., 44, W10419, https://doi.org/10.1029/2007WR006562, 2008.
Liang, S.: Narrowband to broadband conversions of land surface albedo – Algorithms, Remote Sens. Environ., 76, 213–238, 2000.
Massman, W. J.: An analytical one-dimensional model of momentum transfer by vegetation of arbitrary structure, Bound.-Layer Meteorol., 83, 407–421, 1997.
Menenti, M. and Ritchie, J. C.: Estimation of effective aerodynamic roughness length of Walnut Gulch watershed with laser altimeter measurements, Water Resour. Res., 30, 1329–1337, 1994.
Menenti, M. and Choudhury, B. J.: Parameterization of land surface evapotranspiration using a location-dependent potential evapotranspiration and surface temperature range, in: Exchange Processes at the Land Surface for a Range of Space and Time Scales, edited by: Bolle, H. J., Feddes, R. A., and Kalma, J. D., IAHS Publ., 212, 561–568, 1993.
Menenti, M., Azzali, S., Verhoef, W., and van Swol, R.: Mapping agroecological zones and time lag in vegetation growth by means of Fourier analysis of time series of NDVI images, Adv. Space Res., 13(5), 233–237, 1993.
Menenti, M., Bastiaanssen, W. G. M., Hefny, K., and Abd El Karim, M. H.: Mapping of groundwater losses by evaporation in the Western Desert of Egypt, Report 43, DLO Winand Staring Centre, Wageningen, The Netherlands, 116 pp., 1991.
Moran, M. S., Clarke, T. R., Inoue, Y., and Vidal, A:. Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index, Remote Sens. Environ., 49, 246–263, 1994.
Monteith, J. L.: Principles of Environmental Physics, Edward Arnold Press, 241 pp., 1973.
Mu, Q., Heinsch, F. A., Zhao, M., and Running, S. W.: Development of a global evapotranspiration algorithm based on MODIS and global meteorology data, Remote Sens. Environ., 111, 519–536, 2007.
Nemani, R. and Running, S. W.: Estimation of regional surface resistance to evapotranspiration from NDVI and Thermal{_}IR AVHRR data, J. Appl. Meteorol., 28, 276–284, 1989.
Nishida, K., Nemani, R. R., Glassy, J. M., and Running, S. W.: Development of an evapotranspiration index from Aqua/MODIS for monitoring surface moisture status, IEEE T. Geosci. Remote, 41, 493–501, 2003.
Norman, J. M., Kustas, W. P., and Humes, K. S.: Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature, Agr. Forest Meteorol., 77, 263–293, 1995.
Peacock, C. E. and Hess, T. M.: Estimating evapotranspiration from a reed bed using the Bowen-ratio energy balance method, Hydrol. Process., 18, 247–260, 2004.
Raupach, M. R.: Drag and Drag partition on rough surfaces, Bound.-Lay. Meteorol., 60, 375–395, 1992.
Raupach, M. R: Simplified expressions for vegetation roughness length and zero-plane displacement height as functions of canopy height and area index (research note), Bound.-Lay. Meteorol., 71, 211–216, 1994.
Roerink, G. J., Menenti, M., and Verhoef, W.: Reconstructing cloud-free NDVI composites using Fourier analysis of time series, Int. J. Remote Sens., 21(9), 1911–1917, 2000a.
Roerink, G. J., Su, B., and Menenti, M.: S-SEBI A simple remote sensing algorithm to estimate the surface energy balance, Physics Chim Earth (B) 25(2), 147–157, 2000b.
Shuttleworth, W. J., Gurney, R. J., Hsu, A. Y., and Ormsby, J. P.: FIFE: the variation in energy partition at surface flux sites, IAHS Publ., 186, 67–74, 1989.
Su, Z.: Hydrological application of remote sensing: Surface fluxes and other derived variables – Surface energy balance (latent and sensible heating, net radiation), in: Encyclopedia of Hydrological Sciences, edited by: Anderson, M., John Wiley, Chichester, UK, 1–22, 2005.
Su, Z.: The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes, Hydrol. Earth System Sci., 6(1), 85–99, 2002.
Sugita, M. and Brutsaert, W.: Daily evaporation over a region from lower boundary layer profiles measured with radiosondes, Water Resour. Res., 27, 747–752, 1991.
Verhoef, W., Menenti, M., and Azzali, S.: A colour composite of NOAA-AVHRR-NDVI based on time series analysis 1981–1992, Int. J. Remote Sens., 17, 231–235, 1996.
Verhoef, W.: Application of Harmonic Analysis of NDVI Time Series(HANTS), in: Fourier analysis of temporal NDVI in the Southern African and American continents, edited by: Azzali, S. and Menenti, M., Report of DLO Winand Staring Centre, Wageningen, The Netherlands, 1996.
Zhang, R.: Experimental Remote Sensing Modeling and Surface Foundations, Science Press, Beijing, 1996 (in Chinese).
