Assessment of a distributed biosphere hydrological model against streamflow and MODIS land surface temperature in the upper Tone River Basin

Journal of Hydrology

Volumn 377, Issue 1-2, 2009, Pages 21-34

  Wang, Lei ^a   Koike, Toshio ^a   Yang, Kun ^b   Yeh, Pat Jen Feng ^c  

^a UNIVERSITY OF TOKYO   (Japan)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^c INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

Author keywords

Distributed biosphere hydrological model; Energy budget; Flood; Land surface temperature; Streamflow; Water cycle

Indexed keywords

CANOPY TEMPERATURE; DISTRIBUTED BIOSPHERE HYDROLOGICAL MODEL; DISTRIBUTED HYDROLOGICAL MODEL; DIURNAL CYCLE; ENERGY BUDGET; ENERGY BUDGETS; ENERGY CYCLE; FLUX OBSERVATION; HYDROLOGICAL MODELS; KEY PARAMETERS; LAND SURFACE TEMPERATURE; LEAF AREA INDEX; MODERATE-RESOLUTION IMAGING SPECTRORADIOMETERS; PEAK VALUES; RIVER BASINS; SOIL SURFACE TEMPERATURES; SPATIAL PATTERNS; WATER CYCLE;

ATMOSPHERIC TEMPERATURE; ATMOSPHERICS; BIOSPHERICS; BUDGET CONTROL; RADIOMETERS; RIVERS; SPACE TIME ADAPTIVE PROCESSING; SPECTROMETERS; STREAM FLOW; SURFACE MEASUREMENT; SURFACE PROPERTIES; WATER ANALYSIS; WATERSHEDS;

HYDRAULIC MODELS;

BIOSPHERE; ENERGY BUDGET; FLOOD; GEOMORPHOLOGY; HYDROLOGICAL CYCLE; HYDROLOGICAL MODELING; LAND SURFACE; MODEL VALIDATION; MODIS; RIVER BASIN; RIVER DISCHARGE; STREAMFLOW; SURFACE TEMPERATURE;

ASIA; EURASIA; FAR EAST; HONSHU; JAPAN; KANTO; TONE BASIN;

EID: 70349280612     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2009.08.005     Document Type: Article

References (35)

1. Becker F., and Li Z. Surface temperature and emissivity at various scales: Definition, measurement and related problems. Remote Sensing Reviews 12 (1995) 225-253
2. Bertoldi G., Rigon R., and Over T.M. Impact of watershed geomorphic characteristics on the energy and water budgets. Journal of Hydrometeorology 7 (2006) 389-403
3. Brown L., Thorne R., and Woo M.K. Using satellite imagery to validate snow distribution simulated by a hydrological model in large northern basins. Hydrological Processes 22 (2008) 2777-2787
4. Crawford T.M., and Duchon C.E. An improved parameterization for estimating effective atmospheric emissivity for use in calculating daytime downwelling longwave radiation. Journal of Applied Meteorology 38 (1999) 474-480
5. Famiglietti J.S., and Wood E.F. Multiscale modeling of spatially-variable water and energy balance processes. Water Resources Research 30 (1994) 3061-3078
6. FAO, 2003. Digital Soil Map of the World and Derived Soil Properties, Land and Water Digital Media Series Rev. 1, United Nations Food and Agriculture Organization, CD-ROM.
7. Kerr Y.H., Lagouarde J.P., and Imbernon J. Accurate land surface temperature retrieval from AVHRR data with use of an improved split window algorithm. Remote Sensing of Environment 41 (1992) 197-209
8. Myneni R.B., Nemani R.R., and Running S.W. Algorithm for the estimation of global land cover, LAI and FPAR based on radiative transfer models. IEEE Transactions on Geoscience and Remote Sensing 35 (1997) 1380-1393
9. Nash J.E., and Sutcliffe J.V. River flow forecasting through conceptual models part I - A discussion of principles. Journal of Hydrology 10 3 (1970) 282-290
10. New M., Hulme M., and Jones P. Representing twentieth-century space-time climate variability. Part II: Development of 1901-96 monthly grids of terrestrial surface climate. Journal of Climate 13 (2000) 2217-2238
11. Norman J.M., and Becker F. Terminology in thermal infrared remote sensing of natural surfaces. Agricultural and Forest Meteorology 77 (1995) 153-166
12. O'Callaghan J.F., and Mark D.M. The extraction of drainage networks from digital elevation data. Computer Vision, Graphics and Image Processing 28 (1984) 328-344
13. Parajka J., and Bloeschl G. The value of MODIS snow cover data in validating and calibrating conceptual hydrologic models. Journal of Hydrology 358 (2008) 240-258
14. Peters-Lidard C.D., Zion M.S., and Wood E.F. A soil-vegetation-atmosphere transfer scheme for modeling spatially variable water and energy balance processes. Journal of Geophysical Research 102 (1997) 4303-4324
15. Pinker R.T., Sun D., Hung M.-P., Li C., and Basara J.B. Evaluation of satellite estimates of land surface temperature from GOES over the United States. Journal of Applied Meteorology and Climatology 48 1 (2009) 167-180
16. Rigon R., Bertoldi G., and Over T.M. GEOtop: a distributed hydrological model with coupled water and energy budgets. Journal of Hydrometeorology 7 (2006) 371-388
17. Sellers P.J., Randall D.A., Collatz G.J., Berry J.A., Field C.B., Dazlich D.A., Zhang C., Collelo G.D., and Bounoua L. A revised land surface parameterization (SiB2) for atmospheric GCMs, part I: model formulation. Journal of Climate 9 (1996) 676-705
18. Sellers P.J., Los S.O., Tucker C.J., Justice C.O., Dazlich D.A., Collatz G.J., and Randall D.A. A revised land surface parameterization (SiB2) for atmospheric GCMs, part II: the generation of global fields of terrestrial biosphysical parameters from satellite data. Journal of Climate 9 (1996) 706-737
19. Sellers P.J., Dickinson R.E., Randall D.A., Betts A.K., Hall F.G., Berry J.A., Collatz G.J., Denning A.S., Mooney H.A., Nobre C.A., Sato N., Field C.B., and HendersonSellers A. Modeling the exchanges of energy, water, and carbon between continents and the atmosphere. Science 275 (1997) 502-509
20. Sheng J.F., Wilson J.P., and Lee S. Comparison of land surface temperature (LST) modeled with a spatially-distributed solar radiation model (SRAD) and remote sensing data. Environmental Modelling and Software 24 (2009) 436-443
21. Sun D., and Pinker R.T. Estimation of land surface temperature from a geostationary operational environmental satellite (GOES-8). Journal of Geophysical Research 108 D11 (2003) 4326 10.1029/2002JD002422
22. Tang Q., Oki T., and Kanae S. A distributed biosphere hydrological model (DBHM) for large river basin. Annual Journal of Hydraulic Engineering - JSCE 50 (2006) 37-42
23. Tarboton D.G., Bras R.L., and Rodriguez-Iturbe I. On the extraction of channel networks from digital elevation data. Hydrological Processes 5 (1991) 81-100
24. Turner D.P., Ritts W.D., Cohen W.B., Gower S.T., Zhao M.S., Running S.W., Wofsy S.C., Urbanski S., Dunn A.L., and Munger J.W. Scaling gross primary production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation. Remote Sensing of Environment 88 (2003) 256-270
25. Twine T.E., and Kucharik C.J. Evaluating a terrestrial ecosystem model with satellite information of greenness. Journal of Geophysical Research - Biogeosciences 113 (2008) G03027 10.1029/2007JG000599
26. Wan Z.M. New refinements and validation of the MODIS land-surface temperature/emissivity products. Remote Sensing of Environment 112 (2008) 59-74
27. Wang L., and Koike T. Comparison of a distributed biosphere hydrological model with GBHM., Annual Journal of Hydraulic Engineering - JSCE 53 (2009) 103-108
28. Wang L., Koike T., Yang K., Jackson T., Bindlish R., and Yang D. Development of a distributed biosphere hydrological model and its evaluation with the Southern Great Plains Experiments (SGP97 and SGP99). Journal of Geophysical Research - Atmospheres 114 (2009) D08107 10.1029/2008JD010800
29. Wigmosta M.S., Vail L.W., and Lettenmaier D.P. A distributed hydrology-vegetation model for complex terrain. Water Resources Research 30 (1994) 1665-1679
30. Yang, D., 1998. Distributed Hydrological Model Using Hillslope Discretization Based On Catchment Area Function: Development and Applications, Ph.D. Thesis, Univ. of Tokyo, Tokyo.
31. Yang D., Herath S., and Musiake K. Comparison of different distributed hydrological models for characterization of catchment spatial variability. Hydrological Processes 14 (2000) 403-416
32. Yang K., Huang G., and Tamai N. A hybrid model for estimating global solar radiation. Solar Energy 70 (2001) 13-22
33. Yang D., Koike T., and Tanizawa H. Application of a distributed hydrological model and weather radar observations for flood management in the upper Tone River of Japan. Hydrological Processes 18 (2004) 3119-3132
34. Yang K., Koike T., and Ye B. Improving estimation of hourly, daily, and monthly solar radiation by importing global data set. Agricultural and Forest Meteorology 137 (2006) 43-55
35. Yin Z.S., and Williams T.H.L. Obtaining spatial and temporal vegetation data from landsat MSS and AVHRR/NOAA satellite images for a hydrologic model. Photogrammetric Engineering and Remote Sensing 63 1 (1997) 69-77