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Volumn 194, Issue , 2014, Pages 50-63

Forecasting daily reference evapotranspiration for Australia using numerical weather prediction outputs

Author keywords

FAO56; Forecasting; Numerical weather prediction; Reference evapotranspiration

Indexed keywords

AIR TEMPERATURE; DEW POINT; DIURNAL VARIATION; EVAPOTRANSPIRATION; NUMERICAL MODEL; SOLAR RADIATION; WEATHER FORECASTING; WIND VELOCITY;

EID: 84899091996     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2014.03.014     Document Type: Article
Times cited : (95)

References (60)
  • 1
    • 84899067207 scopus 로고    scopus 로고
    • Australian Bureau of Agricultural and Resource Economics and Sciences (Ed.), Land Use of Australia, Version 4, 2005/2006. Department of Agriculture, Australia. ABARES
    • ABARES, 2010. In: Australian Bureau of Agricultural and Resource Economics and Sciences (Ed.), Land Use of Australia, Version 4, 2005/2006. Department of Agriculture, Australia.
    • (2010)
  • 2
    • 0036698601 scopus 로고    scopus 로고
    • Multi-model data fusion for river flow forecasting: an evaluation of six alternative methods based on two contrasting catchments
    • Abrahart R.J., See L. Multi-model data fusion for river flow forecasting: an evaluation of six alternative methods based on two contrasting catchments. Hydrol. Earth Syst. Sci. 2002, 6(4):655-670.
    • (2002) Hydrol. Earth Syst. Sci. , vol.6 , Issue.4 , pp. 655-670
    • Abrahart, R.J.1    See, L.2
  • 3
    • 0037690873 scopus 로고    scopus 로고
    • New empirical formula for hourly estimations of reference evapotranspiration
    • Alexandris S., Kerkides P. New empirical formula for hourly estimations of reference evapotranspiration. Agric. Water Manage. 2003, 60(3):157-180.
    • (2003) Agric. Water Manage. , vol.60 , Issue.3 , pp. 157-180
    • Alexandris, S.1    Kerkides, P.2
  • 4
    • 0001654644 scopus 로고
    • Operational estimates of reference evapotranspiration
    • Allen R.G., Jensen M.E., Wright J.L., Burman R.D. Operational estimates of reference evapotranspiration. Agron. J. 1989, 81(4):650-662.
    • (1989) Agron. J. , vol.81 , Issue.4 , pp. 650-662
    • Allen, R.G.1    Jensen, M.E.2    Wright, J.L.3    Burman, R.D.4
  • 5
    • 0003491818 scopus 로고    scopus 로고
    • Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements, Irrigation and Drain
    • Paper No. 56, FAO, Rome, Italy
    • Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements, Irrigation and Drain, Paper No. 56, FAO, Rome, Italy, p. 300.
    • (1998) , pp. 300
    • Allen, R.G.1    Pereira, L.S.2    Raes, D.3    Smith, M.4
  • 8
    • 84899076607 scopus 로고    scopus 로고
    • Automatic Weather Stations for Agricultural and Other Applications. The Bureau of Meteorology, Australia.
    • BoM, A., 2005. Automatic Weather Stations for Agricultural and Other Applications. The Bureau of Meteorology, Australia. http://www.bom.gov.au/inside/services_policy/pub_ag/aws/aws.shtml.
    • (2005)
    • BoM, A.1
  • 11
    • 84899094365 scopus 로고    scopus 로고
    • undated-a. In: A. The Bureau of Meteorology (Ed.), About Weather Station Data.
    • BoM, A., undated-a. In: A. The Bureau of Meteorology (Ed.), About Weather Station Data. http://www.bom.gov.au/climate/data/stations/about-weather-station-data.shtml.
    • BoM, A.1
  • 12
    • 84899049699 scopus 로고    scopus 로고
    • undated-b. In: A. Bureau of Meteorology (Ed.), Daily Global Solar Exposure Climate Data.
    • BoM, A., undated-b. In: A. Bureau of Meteorology (Ed.), Daily Global Solar Exposure Climate Data.
    • BoM, A.1
  • 13
    • 34250179482 scopus 로고    scopus 로고
    • Estimating reference evapotranspiration with the FAO Penman-Monteith equation using daily weather forecast messages
    • Cai J., Liu Y., Lei T., Pereira L.S. Estimating reference evapotranspiration with the FAO Penman-Monteith equation using daily weather forecast messages. Agric. Forest Meteorol. 2007, 145(1-2):22-35.
    • (2007) Agric. Forest Meteorol. , vol.145 , Issue.1-2 , pp. 22-35
    • Cai, J.1    Liu, Y.2    Lei, T.3    Pereira, L.S.4
  • 14
    • 0037087735 scopus 로고    scopus 로고
    • An evaluation of a traditional and a neural net modelling approach to flood forecasting for an upland catchment
    • Cameron D., Kneale P., See L. An evaluation of a traditional and a neural net modelling approach to flood forecasting for an upland catchment. Hydrol. Process. 2002, 16(5):1033-1046.
    • (2002) Hydrol. Process. , vol.16 , Issue.5 , pp. 1033-1046
    • Cameron, D.1    Kneale, P.2    See, L.3
  • 15
    • 70350241192 scopus 로고    scopus 로고
    • Reference evapotranspiration forecasting using different artificial neural networks algorithms
    • Chauhan S., Shrivastava R.K. Reference evapotranspiration forecasting using different artificial neural networks algorithms. Can. J. Civil Eng. 2009, 36(9):1491-1505.
    • (2009) Can. J. Civil Eng. , vol.36 , Issue.9 , pp. 1491-1505
    • Chauhan, S.1    Shrivastava, R.K.2
  • 16
    • 17444370125 scopus 로고    scopus 로고
    • Comparison of the Thornthwaite method and pan data with the standard Penman-Monteith estimates of reference evapotranspiration in China
    • Chen, D.L., 2005. Comparison of the Thornthwaite method and pan data with the standard Penman-Monteith estimates of reference evapotranspiration in China. Climate Res. 28 (2), 123.
    • (2005) Climate Res. , vol.28 , Issue.2 , pp. 123
    • Chen, D.L.1
  • 17
    • 0028977952 scopus 로고
    • Penman-Monteith, FAO-24 reference crop evapotranspiration and class-A pan data in Australia
    • Chiew F.H.S., Kamaladasa N.N., Malano H.M., McMahon T.A. Penman-Monteith, FAO-24 reference crop evapotranspiration and class-A pan data in Australia. Agric. Water Manage. 1995, 28(1):9-21.
    • (1995) Agric. Water Manage. , vol.28 , Issue.1 , pp. 9-21
    • Chiew, F.H.S.1    Kamaladasa, N.N.2    Malano, H.M.3    McMahon, T.A.4
  • 19
    • 84899078131 scopus 로고    scopus 로고
    • Accuracy of Reference Evapotranspiration Forecast.
    • 24th Conference on Agricultural and Forest Meteorology.
    • Duce, P., Snyder, R.L., Spano, D., 2000. Accuracy of Reference Evapotranspiration Forecast. 24th Conference on Agricultural and Forest Meteorology.
    • (2000)
    • Duce, P.1    Snyder, R.L.2    Spano, D.3
  • 20
    • 77957261920 scopus 로고    scopus 로고
    • Assessment of reference evapotranspiration methods in semi-arid regions: Can weather forecast data be used as alternate of ground meteorological parameters?
    • Er-Raki S., et al. Assessment of reference evapotranspiration methods in semi-arid regions: Can weather forecast data be used as alternate of ground meteorological parameters?. J. Arid Environ. 2010, 74(12):1587-1596.
    • (2010) J. Arid Environ. , vol.74 , Issue.12 , pp. 1587-1596
    • Er-Raki, S.1
  • 21
    • 0027007868 scopus 로고
    • Rainfall forecasting in space and time using a neural network
    • French M.N., Krajewski W.F., Cuykendall R.R. Rainfall forecasting in space and time using a neural network. J. Hydrol. 1992, 137(1-4):1-31.
    • (1992) J. Hydrol. , vol.137 , Issue.1-4 , pp. 1-31
    • French, M.N.1    Krajewski, W.F.2    Cuykendall, R.R.3
  • 23
    • 33645097524 scopus 로고
    • Evapotranspiration modeling.
    • CIMIS Final Report 10013-A. Land, Air, and Water Research Paper Series B53812, pp. 3.36-3.61.
    • George, W., Pruitt, W.O., Dong, A., 1985. Evapotranspiration modeling. In: CIMIS Final Report 10013-A. Land, Air, and Water Research Paper Series B53812, pp. 3.36-3.61.
    • (1985)
    • George, W.1    Pruitt, W.O.2    Dong, A.3
  • 24
    • 79960824933 scopus 로고    scopus 로고
    • Prediction of daily crop reference evapotranspiration (ETo) values through a least-squares support vector machine model
    • Guo X., Sun X., Ma J. Prediction of daily crop reference evapotranspiration (ETo) values through a least-squares support vector machine model. Hydrol. Res. 2011, 42(4):268-274.
    • (2011) Hydrol. Res. , vol.42 , Issue.4 , pp. 268-274
    • Guo, X.1    Sun, X.2    Ma, J.3
  • 25
    • 0002370669 scopus 로고
    • Reference crop evapotranspiration from temperature
    • Hargreaves G.H., Samani Z.A. Reference crop evapotranspiration from temperature. Appl. Eng. Agric. 1985, 1:96-99.
    • (1985) Appl. Eng. Agric. , vol.1 , pp. 96-99
    • Hargreaves, G.H.1    Samani, Z.A.2
  • 26
    • 84866707016 scopus 로고    scopus 로고
    • Application of artificial neural networks for temperature forecasting.
    • Hayati, M., Mohebi, Z., 2008. Application of artificial neural networks for temperature forecasting. Int. J. Appl. Sci. Eng. Technol. 4 (3), 163-167.
    • (2008) Int. J. Appl. Sci. Eng. Technol. , vol.4 , Issue.3 , pp. 163-167
    • Hayati, M.1    Mohebi, Z.2
  • 27
    • 78149489681 scopus 로고    scopus 로고
    • Estimating reference evapotranspiration using numerical weather modelling
    • Ishak A.M., Bray M., Remesan R., Han D. Estimating reference evapotranspiration using numerical weather modelling. Hydrol. Process. 2010, 24(24):3490-3509.
    • (2010) Hydrol. Process. , vol.24 , Issue.24 , pp. 3490-3509
    • Ishak, A.M.1    Bray, M.2    Remesan, R.3    Han, D.4
  • 28
    • 0002405256 scopus 로고
    • Water consumption by agricultural plants. Water Deficits and Plant Growth: Plant Water Consumption and Response
    • Jensen, M., 1968. Water consumption by agricultural plants. Water Deficits and Plant Growth: Plant Water Consumption and Response, vol. 2, p. 1.
    • (1968) , vol.2 , pp. 1
    • Jensen, M.1
  • 29
    • 0000751991 scopus 로고
    • Evapotranspiration and Irrigation Water Requirements: A Manual/Prepared by the Committee on Irrigation Water Requirements of the Irrigation and Drainage Division of the ASCE ASCE Manuals and Reports on Engineering Practice: No. 70.
    • The Society, New York, N.Y., 1990.
    • Jensen, M.E., Burman, R.D., Allen, R.G., 1990. Evapotranspiration and Irrigation Water Requirements: A Manual/Prepared by the Committee on Irrigation Water Requirements of the Irrigation and Drainage Division of the ASCE ASCE Manuals and Reports on Engineering Practice: No. 70. The Society, New York, N.Y., 1990.
    • (1990)
    • Jensen, M.E.1    Burman, R.D.2    Allen, R.G.3
  • 30
    • 0000632352 scopus 로고    scopus 로고
    • Experiments in short-term precipitation forecasting using artificial neural networks
    • Kuligowski R.J., Barros A.P. Experiments in short-term precipitation forecasting using artificial neural networks. Monthly Weather Rev. 1998, 126(2):470-482.
    • (1998) Monthly Weather Rev. , vol.126 , Issue.2 , pp. 470-482
    • Kuligowski, R.J.1    Barros, A.P.2
  • 32
    • 66449088932 scopus 로고    scopus 로고
    • Forecasting weekly evapotranspiration with ARIMA and artificial neural network models
    • Landeras G., Ortiz-Barredo A., Lopez J.J. Forecasting weekly evapotranspiration with ARIMA and artificial neural network models. J. Irrig. Drainage Eng.: ASCE 2009, 135(3):323-334.
    • (2009) J. Irrig. Drainage Eng.: ASCE , vol.135 , Issue.3 , pp. 323-334
    • Landeras, G.1    Ortiz-Barredo, A.2    Lopez, J.J.3
  • 33
    • 0031779864 scopus 로고    scopus 로고
    • Model validation and crop coefficients for irrigation scheduling in the North China Plain. Agric
    • Liu Y., Teixeira J., Zhang H., Pereira L. Model validation and crop coefficients for irrigation scheduling in the North China Plain. Agric. Water Manage. 1998, 36(3):233-246.
    • (1998) Water Manage. , vol.36 , Issue.3 , pp. 233-246
    • Liu, Y.1    Teixeira, J.2    Zhang, H.3    Pereira, L.4
  • 34
    • 0027330999 scopus 로고
    • Forecasting of reference crop evapotranspiration
    • Marino M.A., Tracy J.C., Taghavi S.A. Forecasting of reference crop evapotranspiration. Agric. Water Manage. 1993, 24(3):163-187.
    • (1993) Agric. Water Manage. , vol.24 , Issue.3 , pp. 163-187
    • Marino, M.A.1    Tracy, J.C.2    Taghavi, S.A.3
  • 35
    • 84899111843 scopus 로고    scopus 로고
    • Met Office UK, 2011. Use of the Unified Model for Weather Forecasting at the Met Office. The Met Office
    • Met Office UK, 2011. Use of the Unified Model for Weather Forecasting at the Met Office. The Met Office, 2011. http://www.metoffice.gov.uk/research/modelling-systems/unified-model/weather-forecasting.
    • (2011)
  • 36
    • 0000677412 scopus 로고
    • Cumulative results of extended forecast experiments I. Model performance for winter cases
    • Miyakoda K., Hembree G., Strickler R., Shulman I. Cumulative results of extended forecast experiments I. Model performance for winter cases. Monthly Weather Rev. 1972, 100(12):836-855.
    • (1972) Monthly Weather Rev. , vol.100 , Issue.12 , pp. 836-855
    • Miyakoda, K.1    Hembree, G.2    Strickler, R.3    Shulman, I.4
  • 37
    • 0029479673 scopus 로고
    • Forecasting weekly reference crop evapotranspiration series
    • Mohan S., Arumugam N. Forecasting weekly reference crop evapotranspiration series. Hydrol. Sci. J. 1995, 40(6):689-702.
    • (1995) Hydrol. Sci. J. , vol.40 , Issue.6 , pp. 689-702
    • Mohan, S.1    Arumugam, N.2
  • 38
    • 0024145684 scopus 로고
    • Skill scores based on the mean square error and their relationships to the correlation coefficient
    • Murphy A.H. Skill scores based on the mean square error and their relationships to the correlation coefficient. Monthly Weather Rev. 1988, 116(12):2417-2424.
    • (1988) Monthly Weather Rev. , vol.116 , Issue.12 , pp. 2417-2424
    • Murphy, A.H.1
  • 39
    • 84978606188 scopus 로고    scopus 로고
    • NWP-forced short-term streamflow forecasts for Australia. Third International Conference on QPE/QPF and Hydrology.
    • World Weather Research Programme, Nanjing, China
    • Pagano, T., Lan, C., Wang, Q., 2010. NWP-forced short-term streamflow forecasts for Australia. Third International Conference on QPE/QPF and Hydrology. World Weather Research Programme, Nanjing, China, p. 4.
    • (2010) , pp. 4
    • Pagano, T.1    Lan, C.2    Wang, Q.3
  • 40
    • 35348859178 scopus 로고    scopus 로고
    • Updated world map of the Köppen-Geiger climate classification
    • Peel M.C., Finlayson B.L., McMahon T.A. Updated world map of the Köppen-Geiger climate classification. Hydrol. Earth Syst. Sci. 2007, 11(5):1633-1644.
    • (2007) Hydrol. Earth Syst. Sci. , vol.11 , Issue.5 , pp. 1633-1644
    • Peel, M.C.1    Finlayson, B.L.2    McMahon, T.A.3
  • 41
    • 84957790817 scopus 로고
    • Natural evaporation from open water, bare soil and grass.
    • Penman, H.L., 1948. Natural evaporation from open water, bare soil and grass. Proc. R. Soc. Lond. Ser. A: Math. Phys. Sci. 193 (1032), 120-145.
    • (1948) Proc. R. Soc. Lond. Ser. A: Math. Phys. Sci. , vol.193 , Issue.1032 , pp. 120-145
    • Penman, H.L.1
  • 42
    • 4644338131 scopus 로고    scopus 로고
    • The Priestley-Taylor parameter and the decoupling factor for estimating reference evapotranspiration
    • Pereira A.R. The Priestley-Taylor parameter and the decoupling factor for estimating reference evapotranspiration. Agric. Forest Meteorol. 2004, 125(3):305-313.
    • (2004) Agric. Forest Meteorol. , vol.125 , Issue.3 , pp. 305-313
    • Pereira, A.R.1
  • 43
    • 33845620661 scopus 로고    scopus 로고
    • Application of neural approaches to one-step daily flow forecasting in Portuguese watersheds
    • Pulido-Calvo I., Portela M.M. Application of neural approaches to one-step daily flow forecasting in Portuguese watersheds. J. Hydrol. 2007, 332(1-2):1-15.
    • (2007) J. Hydrol. , vol.332 , Issue.1-2 , pp. 1-15
    • Pulido-Calvo, I.1    Portela, M.M.2
  • 44
    • 0040964488 scopus 로고    scopus 로고
    • Forecasting and optimizing furrow irrigation management decision variables
    • Raghuwanshi N.S., Wallender W.W. Forecasting and optimizing furrow irrigation management decision variables. Irrig. Sci. 1999, 19(1):1-6.
    • (1999) Irrig. Sci. , vol.19 , Issue.1 , pp. 1-6
    • Raghuwanshi, N.S.1    Wallender, W.W.2
  • 45
    • 84925372269 scopus 로고    scopus 로고
    • Evaluation of numerical weather prediction model rainfall forecasts for streamflow forecasting.
    • Hydrology and Water Resources Symposium 2012. Engineers Australia, Sydney
    • Shrestha, D.L., Robertson, D., Wang, Q., Pagano, T., Hapuarachchi, P., 2012. Evaluation of numerical weather prediction model rainfall forecasts for streamflow forecasting. Hydrology and Water Resources Symposium 2012. Engineers Australia, Sydney, pp. 856-863.
    • (2012) , pp. 856-863
    • Shrestha, D.L.1    Robertson, D.2    Wang, Q.3    Pagano, T.4    Hapuarachchi, P.5
  • 46
    • 84879122274 scopus 로고    scopus 로고
    • Evaluation of numerical weather prediction model precipitation forecasts for short-term streamflow forecasting purpose
    • Shrestha D.L., Robertson D., Wang Q., Pagano T.C., Hapuarachchi P. Evaluation of numerical weather prediction model precipitation forecasts for short-term streamflow forecasting purpose. Hydrol. Earth Syst. Sci. 2013, 17:1913-1931.
    • (2013) Hydrol. Earth Syst. Sci. , vol.17 , pp. 1913-1931
    • Shrestha, D.L.1    Robertson, D.2    Wang, Q.3    Pagano, T.C.4    Hapuarachchi, P.5
  • 47
    • 75149175574 scopus 로고    scopus 로고
    • Estimating reference evapotranspiration (ETo) using numerical weather forecast data in central Chile.
    • Silva, D., Meza, F.J., Varas, E., 2010. Estimating reference evapotranspiration (ETo) using numerical weather forecast data in central Chile. J. Hydrol. 382 (1-4), 64-71.
    • (2010) J. Hydrol. , vol.382 , Issue.1-4 , pp. 64-71
    • Silva, D.1    Meza, F.J.2    Varas, E.3
  • 49
    • 2342475847 scopus 로고    scopus 로고
    • Evaluation of estimated weather data for calculating Penman-Monteith reference crop evapotranspiration
    • Stöckle C.O., Kjelgaard J., Bellocchi G. Evaluation of estimated weather data for calculating Penman-Monteith reference crop evapotranspiration. Irrig. Sci. 2004, 23(1):39-46.
    • (2004) Irrig. Sci. , vol.23 , Issue.1 , pp. 39-46
    • Stöckle, C.O.1    Kjelgaard, J.2    Bellocchi, G.3
  • 50
    • 84855200167 scopus 로고    scopus 로고
    • Estimating potential evaporation using artificial neural network.
    • The ICID 10th Afro-Asian Conference, Bali. Water and Land Resources Development and Management for Sustainable Use
    • Tahir, S.A., 1998. Estimating potential evaporation using artificial neural network. The ICID 10th Afro-Asian Conference, Bali. Water and Land Resources Development and Management for Sustainable Use, p. 2.
    • (1998) , pp. 2
    • Tahir, S.A.1
  • 51
    • 0031898654 scopus 로고    scopus 로고
    • River stage forecasting using artificial neural networks.
    • Thirumalaiah, K., 1998. River stage forecasting using artificial neural networks. J. Hydrol. Eng. 3, 26.
    • (1998) J. Hydrol. Eng. , vol.3 , pp. 26
    • Thirumalaiah, K.1
  • 52
    • 0034174356 scopus 로고    scopus 로고
    • Hydrological forecasting using neural networks
    • Thirumalaiah, K., Deo, M.C., 2000. Hydrological forecasting using neural networks J. Hydrol. Eng. 5 (2), 180-189.
    • (2000) J. Hydrol. Eng. , vol.5 , Issue.2 , pp. 180-189
    • Thirumalaiah, K.1    Deo, M.C.2
  • 53
    • 84870245733 scopus 로고    scopus 로고
    • Comparison of two analog-based downscaling methods for regional reference evapotranspiration forecasts
    • Tian D., Martinez C.J. Comparison of two analog-based downscaling methods for regional reference evapotranspiration forecasts. J. Hydrol. 2012, 475(0):350-364.
    • (2012) J. Hydrol. , vol.475 , Issue.0 , pp. 350-364
    • Tian, D.1    Martinez, C.J.2
  • 54
    • 84874952093 scopus 로고    scopus 로고
    • Forecasting reference evapotranspiration using retrospective forecast analogs in the Southeastern United States
    • Tian D., Martinez C.J. Forecasting reference evapotranspiration using retrospective forecast analogs in the Southeastern United States. J. Hydrometeorol. 2012, 13(6):1874-1892.
    • (2012) J. Hydrometeorol. , vol.13 , Issue.6 , pp. 1874-1892
    • Tian, D.1    Martinez, C.J.2
  • 55
    • 0346875564 scopus 로고    scopus 로고
    • Forecasting of reference evapotranspiration by artificial neural networks
    • Trajkovic S., Todorovic B., Stankovic M. Forecasting of reference evapotranspiration by artificial neural networks. J. Irrig. Drainage Eng. 2003, 129(6):454-457.
    • (2003) J. Irrig. Drainage Eng. , vol.129 , Issue.6 , pp. 454-457
    • Trajkovic, S.1    Todorovic, B.2    Stankovic, M.3
  • 56
    • 76649145281 scopus 로고    scopus 로고
    • Closure to forecasting of reference evapotranspiration by artificial neural networks by Slavisa Trajkovic, Branimir Todorovic, and Miomir Stankovic
    • Trajkovic S., Todorovic B., Stankovic M. Closure to forecasting of reference evapotranspiration by artificial neural networks by Slavisa Trajkovic, Branimir Todorovic, and Miomir Stankovic. J. Irrig. Drainage Eng. 2005, 131(4):391-392.
    • (2005) J. Irrig. Drainage Eng. , vol.131 , Issue.4 , pp. 391-392
    • Trajkovic, S.1    Todorovic, B.2    Stankovic, M.3
  • 57
    • 84899065497 scopus 로고    scopus 로고
    • UN-Water, Coping with Water Scarcity. A Strategic Issue and Priority for System-Wide Action, UN-Water Thematic Initiatives.
    • UN-Water, 2006. Coping with Water Scarcity. A Strategic Issue and Priority for System-Wide Action, UN-Water Thematic Initiatives.
    • (2006)
  • 58
    • 84899100639 scopus 로고    scopus 로고
    • UNEP, Global Environment Outlook (GEO-4) United Nations Environment Programme Nairobi, Kenya.
    • UNEP, 2007. Global Environment Outlook (GEO-4) United Nations Environment Programme Nairobi, Kenya.
    • (2007)
  • 59
    • 0142148577 scopus 로고    scopus 로고
    • The ASCE's standardized reference evapotranspiration equation, Task Committee on Standardization of Reference Evapotranspiration
    • Environmental and Water Resources Institute, the American Society of Civil Engineers.
    • Walter, I.A., et al., 2005. The ASCE's standardized reference evapotranspiration equation, Task Committee on Standardization of Reference Evapotranspiration, Environmental and Water Resources Institute, the American Society of Civil Engineers.
    • (2005)
    • Walter, I.A.1
  • 60
    • 0035624742 scopus 로고    scopus 로고
    • Estimation of daily surface solar exposure using GMS-5 stretched-VISSR observations: the system and basic results
    • Weymouth G., Le Marshall J. Estimation of daily surface solar exposure using GMS-5 stretched-VISSR observations: the system and basic results. Aust. Meteorol. Mag. 2001, 50(4):263-278.
    • (2001) Aust. Meteorol. Mag. , vol.50 , Issue.4 , pp. 263-278
    • Weymouth, G.1    Le Marshall, J.2


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