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Volumn 118, Issue 3, 2014, Pages 465-479

Modeling daily soil temperature using data-driven models and spatial distribution

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EID: 84891500343     PISSN: 0177798X     EISSN: 14344483     Source Type: Journal    
DOI: 10.1007/s00704-013-1065-z     Document Type: Article
Times cited : (74)

References (35)
  • 2
    • 0003491818 scopus 로고    scopus 로고
    • Crop evapotranspiration guidelines for computing crop water requirements. FAO Irrigation and Drainage. Paper No. 56. Food and Agriculture Organization of the United Nations
    • Allen RG, Pereira LS, Raes D, Smith M. (1998) Crop evapotranspiration guidelines for computing crop water requirements. FAO Irrigation and Drainage. Paper No. 56. Food and Agriculture Organization of the United Nations, Rome
    • (1998) Rome
    • Allen, R.G.1    Pereira, L.S.2    Raes, D.3    Smith, M.4
  • 3
    • 78650014065 scopus 로고    scopus 로고
    • Prediction of soil temperature using regression and artificial neural network models
    • Bilgili M (2010) Prediction of soil temperature using regression and artificial neural network models. Meteorol Atmos Phys 110(1–2):59–70
    • (2010) Meteorol Atmos Phys , vol.110 , Issue.1-2 , pp. 59-70
    • Bilgili, M.1
  • 4
    • 0034993945 scopus 로고    scopus 로고
    • Artificial neural network modeling of water table depth fluctuations
    • Coulibaly P, Anctil F, Aravena R, Bobee B (2001) Artificial neural network modeling of water table depth fluctuations. Water Resour Res 37(4):885–896
    • (2001) Water Resour Res , vol.37 , Issue.4 , pp. 885-896
    • Coulibaly, P.1    Anctil, F.2    Aravena, R.3    Bobee, B.4
  • 5
    • 0000615669 scopus 로고
    • Function minimization by conjugate gradients
    • Fletcher R, Reeves CM (1964) Function minimization by conjugate gradients. Comput J 7:149–153
    • (1964) Comput J , vol.7 , pp. 149-153
    • Fletcher, R.1    Reeves, C.M.2
  • 6
    • 0035424839 scopus 로고    scopus 로고
    • Prediction of soil temperature by using artificial neural networks algorithms
    • George RK (2001) Prediction of soil temperature by using artificial neural networks algorithms. Nonlinear Anal 47(3):1737–1748
    • (2001) Nonlinear Anal , vol.47 , Issue.3 , pp. 1737-1748
    • George, R.K.1
  • 7
    • 70349272865 scopus 로고    scopus 로고
    • Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modeling
    • Gupta HV, Kling H, Yilmaz KK, Martinez GF (2009) Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modeling. J Hydrol 377(1–2):80–91
    • (2009) J Hydrol , vol.377 , Issue.1-2 , pp. 80-91
    • Gupta, H.V.1    Kling, H.2    Yilmaz, K.K.3    Martinez, G.F.4
  • 9
    • 0141625690 scopus 로고    scopus 로고
    • A daily soil temperature dataset and soil temperature climatology of the contiguous United States
    • Hu Q, Feng S (2003) A daily soil temperature dataset and soil temperature climatology of the contiguous United States. J Appl Meteorol 42(8):1139–1156
    • (2003) J Appl Meteorol , vol.42 , Issue.8 , pp. 1139-1156
    • Hu, Q.1    Feng, S.2
  • 10
    • 40949103966 scopus 로고    scopus 로고
    • Measuring soil temperature and moisture using wireless MEMS sensors
    • Jackson T, Mansfield K, Saafi M, Colman T, Romine P (2008) Measuring soil temperature and moisture using wireless MEMS sensors. Measurement 41:381–390
    • (2008) Measurement , vol.41 , pp. 381-390
    • Jackson, T.1    Mansfield, K.2    Saafi, M.3    Colman, T.4    Romine, P.5
  • 11
    • 46449089657 scopus 로고    scopus 로고
    • Models for estimating evapotranspiration using artificial neural networks, and their physical interpretation
    • Jain SK, Nayak PC, Sudheer KP (2008) Models for estimating evapotranspiration using artificial neural networks, and their physical interpretation. Hydrol Process 22:2225–2234
    • (2008) Hydrol Process , vol.22 , pp. 2225-2234
    • Jain, S.K.1    Nayak, P.C.2    Sudheer, K.P.3
  • 12
    • 0027601884 scopus 로고
    • ANFIS: adaptive-network-based fuzzy inference system
    • Jang JSR (1993) ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans Syst Manag Cyber 23(3):665–685
    • (1993) IEEE Trans Syst Manag Cyber , vol.23 , Issue.3 , pp. 665-685
    • Jang, J.S.R.1
  • 15
    • 84865479667 scopus 로고    scopus 로고
    • Pan evaporation modeling using neural computing approach for different climatic zones
    • Kim S, Shiri J, Kisi O (2012) Pan evaporation modeling using neural computing approach for different climatic zones. Water Resour Manag 26(11):3231–3249
    • (2012) Water Resour Manag , vol.26 , Issue.11 , pp. 3231-3249
    • Kim, S.1    Shiri, J.2    Kisi, O.3
  • 16
    • 84876427289 scopus 로고    scopus 로고
    • Estimating daily pan evaporation using different data-driven methods and lag-time patterns
    • Kim S, Shiri J, Kisi O, Singh VP (2013) Estimating daily pan evaporation using different data-driven methods and lag-time patterns. Water Resour Manag 27(7):2267–2286
    • (2013) Water Resour Manag , vol.27 , Issue.7 , pp. 2267-2286
    • Kim, S.1    Shiri, J.2    Kisi, O.3    Singh, V.P.4
  • 17
    • 84891740898 scopus 로고    scopus 로고
    • Prediction of long-term monthly air temperature using geographical inputs
    • Kisi O, Shiri J (2013) Prediction of long-term monthly air temperature using geographical inputs. Int J Climatol. doi:10.1002/joc.3676
    • (2013) Int J Climatol
    • Kisi, O.1    Shiri, J.2
  • 18
    • 84887318010 scopus 로고    scopus 로고
    • Estimation of dew point temperature using neuro-fuzzy and neural network techniques
    • Kisi O, Kim S, Shiri J (2013) Estimation of dew point temperature using neuro-fuzzy and neural network techniques. Theor Appl Climatol 114(3–4):365–373
    • (2013) Theor Appl Climatol , vol.114 , Issue.3-4 , pp. 365-373
    • Kisi, O.1    Kim, S.2    Shiri, J.3
  • 19
    • 0016451032 scopus 로고
    • An experiment in linguistic synthesis with a fuzzy logic controller
    • Mamdani EH, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man Mach Stud 7(1):1–13
    • (1975) Int J Man Mach Stud , vol.7 , Issue.1 , pp. 1-13
    • Mamdani, E.H.1    Assilian, S.2
  • 20
    • 0036497467 scopus 로고    scopus 로고
    • On estimating soil surface temperature profiles
    • Mihalakakou G (2002) On estimating soil surface temperature profiles. Energy Build 34(3):251–259
    • (2002) Energy Build , vol.34 , Issue.3 , pp. 251-259
    • Mihalakakou, G.1
  • 21
    • 79960795064 scopus 로고    scopus 로고
    • Artificial neural network model for estimating the soil temperature
    • Ozturk M, Salman O, Koc M (2011) Artificial neural network model for estimating the soil temperature. Can J Soil Sci 91(4):551–562
    • (2011) Can J Soil Sci , vol.91 , Issue.4 , pp. 551-562
    • Ozturk, M.1    Salman, O.2    Koc, M.3
  • 24
    • 0036843660 scopus 로고    scopus 로고
    • Modeling evaporation using an artificial neural network algorithm
    • Sudheer KP, Gosain AK, Rangan DM, Saheb SM (2002) Modeling evaporation using an artificial neural network algorithm. Hydrol Process 16:3189–3202
    • (2002) Hydrol Process , vol.16 , pp. 3189-3202
    • Sudheer, K.P.1    Gosain, A.K.2    Rangan, D.M.3    Saheb, S.M.4
  • 25
    • 0038546820 scopus 로고    scopus 로고
    • Estimating actual evapotranspiration from limited climatic data using neural computing technique
    • Sudheer KP, Gosain AK, Ramasastri KS (2003) Estimating actual evapotranspiration from limited climatic data using neural computing technique. ASCE J Irrig Drain Eng 129(3):214–218
    • (2003) ASCE J Irrig Drain Eng , vol.129 , Issue.3 , pp. 214-218
    • Sudheer, K.P.1    Gosain, A.K.2    Ramasastri, K.S.3
  • 26
    • 78650738248 scopus 로고    scopus 로고
    • Comparison of artificial neural network and multivariate linear regression methods for estimation of daily soil temperature in an arid region
    • Tabari H, Sabziparvar AA, Ahmadi M (2011) Comparison of artificial neural network and multivariate linear regression methods for estimation of daily soil temperature in an arid region. Meteorol Atmos Phys 110(3–4):135–142
    • (2011) Meteorol Atmos Phys , vol.110 , Issue.3-4 , pp. 135-142
    • Tabari, H.1    Sabziparvar, A.A.2    Ahmadi, M.3
  • 27
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its application to modeling and control
    • Takagi T, Sugeno M (1985) Fuzzy identification of systems and its application to modeling and control. IEEE Trans Syst Man Cybern 15(1):116–132
    • (1985) IEEE Trans Syst Man Cybern , vol.15 , Issue.1 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 29
    • 85016660722 scopus 로고
    • Estimating soil moisture conditions and time for irrigation with the evapotranspiration method
    • Van Bavel CHM (1956) Estimating soil moisture conditions and time for irrigation with the evapotranspiration method. USDA, ARS 41–11, U.S. Dept. of Agric., Raleigh, NC, 1–16.
    • (1956) U.DA, ARS 41–11, U.S. Dept. of Agric., Raleigh, NC , pp. 1-16
    • Van Bavel, C.H.M.1
  • 32
    • 84880763583 scopus 로고    scopus 로고
    • Spatiotemporal modeling of monthly soil temperature using artificial neural networks
    • Wu W, Tang XP, Guo NJ, Yang C, Liu HB, Shang YF (2013) Spatiotemporal modeling of monthly soil temperature using artificial neural networks. Theor Appl Climatol 113(3–4):481–494
    • (2013) Theor Appl Climatol , vol.113 , Issue.3-4 , pp. 481-494
    • Wu, W.1    Tang, X.P.2    Guo, N.J.3    Yang, C.4    Liu, H.B.5    Shang, Y.F.6
  • 33
    • 0030815809 scopus 로고    scopus 로고
    • An artificial neural network model to estimate soil temperature
    • Yang CC, Prasher SO, Mehuys GR (1997) An artificial neural network model to estimate soil temperature. Can J Soil Sci 77(3):421–429
    • (1997) Can J Soil Sci , vol.77 , Issue.3 , pp. 421-429
    • Yang, C.C.1    Prasher, S.O.2    Mehuys, G.R.3
  • 34
    • 78650023119 scopus 로고    scopus 로고
    • Influence of upper layer properties on the ground temperature distribution
    • Yilmaz T, Ozbek A, Yilmaz A, Büyükalaca O (2009) Influence of upper layer properties on the ground temperature distribution. J Therm Sci Technol 29(2):43–51
    • (2009) J Therm Sci Technol , vol.29 , Issue.2 , pp. 43-51
    • Yilmaz, T.1    Ozbek, A.2    Yilmaz, A.3    Büyükalaca, O.4
  • 35
    • 0027870125 scopus 로고
    • A daily soil temperature model based on air temperature and precipitation for continental applications
    • Zheng D, Raymond Hunt E Jr, Running SW (1993) A daily soil temperature model based on air temperature and precipitation for continental applications. Climate Res 2:183–191
    • (1993) Climate Res , vol.2 , pp. 183-191
    • Zheng, D.1    Raymond Hunt, E.2    Running, S.W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.