Articles | Volume 15, issue 5
https://doi.org/10.5194/hess-15-1403-2011
© Author(s) 2011. 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-15-1403-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
06 May 2011
Estimating surface fluxes over middle and upper streams of the Heihe River Basin with ASTER imagery
W. Ma
Key laboratory of land surface process and climate change in cold and arid regions, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu, 730000, China
Y. Ma
Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
Key laboratory of land surface process and climate change in cold and arid regions, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu, 730000, China
Z. Hu
Key laboratory of land surface process and climate change in cold and arid regions, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu, 730000, China
Z. Su
Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, The Netherlands
J. Wang
Key laboratory of land surface process and climate change in cold and arid regions, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu, 730000, China
H. Ishikawa
Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan
Related subject area
Subject: Hillslope hydrology | Techniques and Approaches: Theory development
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
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
Surface water acidification and critical loads: exploring the F-factor
Modelling runoff at the plot scale taking into account rainfall partitioning by vegetation: application to stemflow of banana (Musa spp.) plant
Dying to find the source – the use of rhodamine WT as a proxy for soluble point source pollutants in closed pipe surface drainage networks
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 Ï„cr = 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-MartÃn, 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
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. GarcÃa-GarcÃa, 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
L. Rapp and K. Bishop
Hydrol. Earth Syst. Sci., 13, 2191–2201, https://doi.org/10.5194/hess-13-2191-2009, https://doi.org/10.5194/hess-13-2191-2009, 2009
J.-B. Charlier, R. Moussa, P. Cattan, Y.-M. Cabidoche, and M. Voltz
Hydrol. Earth Syst. Sci., 13, 2151–2168, https://doi.org/10.5194/hess-13-2151-2009, https://doi.org/10.5194/hess-13-2151-2009, 2009
C. H. Mines, A. Ghadouani, and G. N. Ivey
Hydrol. Earth Syst. Sci., 13, 2169–2178, https://doi.org/10.5194/hess-13-2169-2009, https://doi.org/10.5194/hess-13-2169-2009, 2009
Cited articles
Baret, F. and Guyot, G.: Potentials and limits of vegetation indices for LAI and APAR assessment, Remote Sens. Environ., 35, 161–173, 1997.
Bastiaanssen, W. G. M.: Regionalization of surface fluxes and moisture indicators in composite terrain, PhD Thesis, Wageningen Agric. Univ., Wageningen, Netherlands, 273 pp., 1995a.
Bastiaanssen, W. G. M.: Regionalization of Surface Flux Densities and Moisture Indicators in Composite Terrain, Ph.D. thesis, Wageningen Agric. Univ., Wageningen, Netherlands, 143–161, 1995b.
Becker, F., and Li, Z.-L.: Surface temperature and emissivity at various scales: Definition, measurement and related problems, Remote Sens. Rev., 12, 225–253, 1995.
Carlson, T. N. and Ripley, D. A.: On the relation between NDVI, fractional vegetation cover, and leaf area index, Remote Sens. Environment, 62, 241–252, 1997.
Che'din, A., Scott, N. A., Wahiche, C., and Moulinier, P.: The improved initialisation inversion method: A high resolution physical method for temperature retrievals from Tiros-N series, J. Clim. Appl. Meteorol., 24, 124–143, 1985.
Gillespie, A. R., Rokugawa, S., Hook, S., Matsunaga, T., and Kahle, A. B.: A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images, IEEE T. Geosci. Remote, 36, 1113–1126, 1998.
Hasager, C. B. and Jensen, N. O.: Surface-flux aggregation in heterogeneous terrain, Q. J. Roy. Meteorol. Soc., 125, 2075–2102, 1999.
Jia, L., Li, Z.-L., Menenti, M., Su, Z., Verhoef, W., and Wan, Z.: A practical algorithm to infer soil and foliage component temperatures from bi-angular ATSR-2 data, Int. J. Remote Sens., 24(23), 4739–4760, 2003a.
Jia, L., Su, Z., van den Hurk, C., Massimo, M., Arnold, M., Henk, A., Javier, B., Manuel, I., and Antonio, C.: Estimation of sensible heat flux using the Surface Energy Balance System (SEBS) and ATSR measurements, J. Phys. Chem. Earth, 8, 75–88, 2003b.
Jimenez-Munoz, J. C. and Sobrino, J. C.: Feasibility of Retrieving Land-Surface Temperature from ASTER TIR bands using two-channel algorithms: A case study of agricultural areas, IEEE T. Geosci. Remote, 4(1), 60–64, 2006.
Kahle, A. B. and Alley, R. E.: Separation of temperature and emittance in remotely sensed radiance measurements, Remote Sens. Environ., 42, 107–112, 1992.
Kustas, W. P.: Estimates of evapotransiration with a one- and twolayer model of heat transfer over partial canopy cover, J. Appl. Meteorol., 29, 704–715, 1990.
Kustas, W. P. and Daughtry, C. S. T.: Estimation of the soil heat flux/net radiation ratio from spectral data, Agr. Forest Meteorol., 39, 205–223, 1990.
Kustas, W. P., Choudhury, B. J., Moran, M. S., Reginato, R. J., Jackson, R. D., Gay, L. W., and Weaver, H. L.: Determination of sensible heat flux over sparse canopy using thermal infrared data, Agr. Forest Meteorol., 44, 197–216, 1989.
Li, X., Li, X. W., Li, Z. Y., Ma, M. G., Wang, J., Xiao, Q., Liu, Q., Che, T., Chen, E. X., Yan, G. J., Hu, Z. Y., Zhang, L. X., Chu, R. Z., Su, P. X., Liu, Q. H., Liu, S. M., Wang, J. D., Niu, Z., Chen, Y., Jin, R., Wang, W. Z., Ran, Y. H., Xin, X. Z., and Ren, H. Z.: Watershed Allied Telemetry Experimental Research, J. Geophys. Res.-Atmos., 114, D22103, https://doi.org/10.1029/2008JD011590, 2009.
Li, Z.-L. and Becker, F.: Feasibility of land surface temperature and emissivity determination from AVHRR data, Remote Sens. Environ., 43, 67–85, 1993.
Li, Z.-L., Stoll, M. P., Zhang, R. H., Jia, L., and Su, Z.: On the separate retrieval of soil and vegetation temperatures from ATSR2 data, Sc. China Ser. E, 30, 27–38, 2000.
Li, Z.-L., Jia, L., Su, Z., Wan, Z., Zhang, R. H.: A new approach for retrieving precipitable water from ATSR-2 split window channel data over land area, Int. J. Remote Sens., 24(24), 5095–5117, 2003.
Liang, S.: Narrowband to broadband conversions of land surface albedo I Algorithms, Remote Sens. Environ., 76, 213–238, 2001.
Ma, W. and Ma, Y.: The annual variations on land surface energy in the northern Tibetan Plateau, Environ. Geol., 50(4). 645-650, https://doi.org/10.1007/s00254-006-0238-9, 2006.
Ma, Weiqiang, Ma, Yaoming, Li, Maoshan, Hu, Zeyong, Zhong, Lei, Su, Zhongbo, Ishikawa, Hirohiko, and Wang, Jiemin: Estimating surface fluxes over the north Tibetan Plateau area with ASTER imagery, Hydrol. Earth Syst. Sci., 13, 57–67, https://doi.org/10.5194/hess-13-57-2009, 2009.
Ma, Y.: Determination of regional surface heat fluxes over heterogeneous landscapes by integrating satellite remote sensing with boundary layer observations, PhD Thesis, Wageningen University, 2006.
Ma, Y., Su, Z., Koike, T., Yao, T., Ishikawa, H., Ueno, K., and Menenti, M.: On measuring and remote sensing surface energy partitioning over the Tibetan Plateau – From GAME/Tibet to CAMP/Tibet, Phys. Chem. Earth, 28, 63–74, 2003a.
Ma, Y., Ishikawa, H., Tsukamoto, O., Menenti, M., Su, Z., Yao, T., Koike, T., and Yasunari, T.: Regionalization of surface fluxes over heterogeneous landscape of the Tibetan Plateau by using satellite remote sensing, J. Meteorol. Soc. Jpn., 81, 277–293, 2003b.
Ma, Y., Zhong, L., Su, Z., Ishikawa, H., Menenti, M., and Koike, T.: Determination of regional distributions and seasonal variations of land surface heat fluxes from Landsat-7 Ehanced Thematic Mapper data over the central Tibetan Plateau area, Journal of Geophysics Research, 111, D10305, https://doi.org/10.1029/2005JD006742, 2006.
Massman, W. J.: A model study of kB$_{\rm B}^{-1}$H for vegetated surfaces using "localized near-field" Lagrangian theory, J. Hydrol., 223, 27–43, 1999.
Menenti, M. and Choudhury, B. J.: Parameterization of land surface evaporation by means of location dependent potential evaporation 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., Bastiaanssen, W. G. M., and Van Eick, D.: Determination of hemispheric albedo with Thematic Mapper data, Remote Sens. Environ., 28, 327–337, 1989.
Menenti, M., Bastiaanssen, W. G. M., Hefny, K., and Abd EI Karim, M. H.: Mapping of ground water losses by evaporation in the Western Desert of Egypt, Rep. 43, DLO Winand Staring Cent., Wageningen, The Netherlands, 1–116, 1991.
Menenti, M., Jia, L., Li, Z.-L., Djepa, V., Wang, J., Stoll, M. P., Su, Z., and Rast, M.: Estimation of soil and vegetation temperatures from directional thermal infrared observations: The HEIFE, SGP'97, IMGRASS experiments, J. Geophys. Res., 106, 11997–12010, 2001.
Oku, Y., Ishikawa, H., and Su, Z.: Estimation of Land Surface Energy Fluxes over the Tibetan Plateau using GMS Data, J. Appl. Meteorol. Clim., 46(1), 183–195, 2007.
Pinker, R. T.: Satellites and our understanding of the surface energy balance, Paleogr. Palaeoclim. Palaeoecol., 82, 321–342, 1990.
Price, J. C.: Estimating vegetation amount from visible and near infrared albedo, Remote Sens. Environ., 41, 29–34, 1992.
Qi, J., Chehbouni, A., Huete, A. R., Kerr, Y. H., and Sorooshian, S.: A modified soil adjusted vegetation index, Remote Sens. Environ., 48, 119–126, 1994.
Rahman, H. and Dedieu, G.: SMAC: a simplified method for atmospheric correction of satellite measurements in the solar spectrum, Int. J. Remote Sens., 15, 123–143, 1994.
Raupach, M. R.: Drag and Drag partition on rough surfaces, Bound.-Layer Meteorol., 60, 375–395, 1992.
Raupach, M. R.: Simplified expressions for vegetation roughness length and zero-plane displacement as functions of canopy height and area index, Bound.-Lay. Meteorol., 71, 211–216, 1994.
Schmugge, T. J., Hook, S., and Kahle, A.: TIMS observation of surface emissivity in HAPEX-Sahel, paper presented at International Geoscience and Remote Sensing Symposium, Inst. of Electr. and Electron. Eng., Florence, Italy, July, 1995.
Sellers, P. J., Rasool, S. I., and Bolle, H. J.: A review of satellite data algorithms for studies of the land surface, B. Am. Meteorol. Soc., 71, 1429–1447, 1990.
Sobrino, J. A. and Raissouni, N.: Toward remote sensing methods for land cover dynamic monitoring: application to Morocco, Int. J. Remote Sens., 21(1), 353–366, 2000.
Su, Z.: The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes, Hydrol. Earth Syst. Sci., 6, 85–100, https://doi.org/10.5194/hess-6-85-2002, 2002.
Su, Z., Schmugge, T., Kustas, W. P., and Massman, W. J.: An evaluation of two models for estimation of the roughness height for heat transfer between the land surface and the atmosphere, J. Appl. Meteorol., 40(10), 1933–1951, 2001.
Su, Z., Wen, J., and Wagner, W.: Preface "Advances in land surface hydrological processes –- field observations, modeling and data assimilation", Hydrol. Earth Syst. Sci., 14, 365–367, https://doi.org/10.5194/hess-14-365-2010, 2010.
Susskind, J., Rosenfield, J., Renter, D., and Chahine, M. T.: Remote sensing of weather and climate parameters from HIRS2/MSU on TIROS-N, J. Geophys. Res., 89, 4677–4697.
Tucker, C. J.: Monitoring the grasslands of semi-arid Africa using NOAA AVHRR data, Int. J. Remote Sens., 7–11, 1383–1622, 1986.
Wan, Z. and Dozier, J.: Land surface temperature measurement from space: Physical principles and inverse modelling, IEEE T. Geosci. Remote, 27, 268–278, 1989.
Wang, J., Ma, Y., Menenti, M., Bastiaanssen, W. G. M., and Mistsuta, Y.: The scaling-up of processes in the heterogeneous landscape of HEIFE with the aid of satellite remote sensing, J. Meteorol. Soc. Jpn., 73,1235–1244, 1995.
Watson, K., Kruse, F., and Hummer-Miler, S.: Thermal infrared exploration in the Carlin trend, Geophysics, 55, 70–79, 1990.
Yamaguchi, Y., Kahle, A. B., Tsu, H., Kawakami, T., and Pniel, M.: Overview of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), T. Geosci. Remote Sens., 36(3), 1062–1071, 1998.
Special issue