DATA 1
*SOILS: General DSSAT Soil Input File
! DSSAT v4.7; 09/01/2017
!
! Standard Soil Profiles
!
! The following generic information was developed by A.J. Gijsman:
!
! - BD was estimated as BD = 100 / (SOM% / 0.224 + (100 - SOM%) / mineral BD)
! (Adams, 1973; Rawls and Brakensiek, 1985).
! - LL and DUL are according to Saxton et al., 1986.
! - SAT was taken as a fraction of porosity (Dalgliesh and Foale, 1998):
! 0.93 for soil classes S, SL and LS; 0.95 for soil classes L, SIL, SI,
! SCL and SC; and 0.97 for soil classes C, CL, SIC and SICL.
! For this, porosity was estimated as: POR = 1 - BD / APD (in which APD
! is the adjusted particle density, i.e. corrected for SOM; Baumer and Rice, 1988).
! - The ranges of LL and DUL values were calculated by stepping through the
! complete texture triangle in steps of 1% sand, 1% silt and 1% clay (>5000
! combinations), but with the texture limitations that Saxton set for his method
! taken into consideration. For SAT, these limitations do not hold, as this was
! based on POR and not on Saxton. See Gijsman et al., 2002.
! - The root growth distribution function SRGF was was calculated as:
! SRGF = 1 * EXP(-0.02 * LAYER_CENTER); SRGF was set 1 for LAYER_BOTTOM <= 15.
!
! SOIL CLASS BD LL DUL SAT
! ========== ============= ============= ============= =============
! C 1.129 - 1.512 0.220 - 0.346 0.330 - 0.467 0.413 - 0.488
! CL 1.243 - 1.502 0.156 - 0.218 0.282 - 0.374 0.417 - 0.512
! L 1.245 - 1.483 0.083 - 0.156 0.222 - 0.312 0.415 - 0.501
! LS 1.353 - 1.629 0.059 - 0.110 0.137 - 0.185 0.355 - 0.416
! S 1.446 - 1.574 0.055 - 0.085 0.123 - 0.158 0.374 - 0.400
! SC 1.501 - 1.593 0.195 - 0.294 0.276 - 0.389 0.376 - 0.409
! SCL 1.475 - 1.636 0.132 - 0.191 0.213 - 0.304 0.360 - 0.418
! SI 0.978 - 1.464 0.096 - 0.099 0.299 - 0.307 0.442 - 0.488
! SIC 1.307 - 1.446 0.224 - 0.326 0.379 - 0.456 0.455 - 0.489
! SICL 1.248 - 1.464 0.155 - 0.219 0.324 - 0.392 0.448 - 0.511
! SIL 0.968 - 1.464 0.082 - 0.152 0.240 - 0.333 0.439 - 0.547
! SL 1.142 - 1.647 0.066 - 0.133 0.164 - 0.243 0.348 - 0.499
!
!==========================================================================================
============
! Start of Generic soil profiles
!==========================================================================================
============
!
! The 12 Generic soils for SOIL.SOL, as estimated by Arjan Gijsman:
!
! - LL, DUL are according to the Nearest Neighbor method (Jagtap et al, 2004)
! - Ksat at -99
! - BD according to Gijsman et al (2002)
! - SAT based on the APSRU manual (Dalgliesh and Foale, 1998); i.e. 93-97% of porosity
! depending on the soil type) in which porosity is according to Baumer and Rice (1988).
!
! References
! Adams W.A. 1973. The effect of organic matter on the bulk and true densities of some
! uncultivated podzolic soils. J. Soil Science 24, 10-17.
! Baumer O.W. and Rice J.W. 1988. Methods to predict soil input data for DRAINMOD.
! Am. Soc. Agr. Eng. Paper 88-2564
! Dalgliesh, N.P., and M.A. Foale. 1998. Soil Matters – monitoring soil water and nitrogen
! in dryland farming. CSIRO, Agricultural Production Systems Research Unit,
! Toowoomba, Queensland, Australia. 122 pp.
! Gijsman A.J., Jagtap S.S., Jones J.W. 2002. Wading through a swamp of complete confusion:
! how to choose a method for estimating soil water retention parameters for crop models.
! European Journal of Agronomy, 18: 75-105.
! Jagtap S.S., Lal U., Jones J.W., Gijsman A.J., Ritchie J.T. 2004. A dynamic nearest-
neighbor
! method for estimating soil water parameters. Transactions of ASAE 47: 1437-1444
! Rawls W.J. and Brakensiek D.L. 1985. Prediction of soil water properties for hydrologic
! modeling. In: Jones, E.B. and Ward, T.J. (Eds.), Proc. Symp. Watershed Management
! in the Eighties. April 30-May 1, 1985, Denver, CO. Am. Soc. Civil Eng.,
! New York, NY. pp.293-299.
! Saxton K.E., Rawls W.J., Romberger J.S., Papendick R.I. 1986. Estimating generalized
soil-water
! characteristics from texture. Soil Sci. Soc. Am. J. 50, 1031-1036
!
!==========================================================================================
============
*IDTA201901 DSMW SIC 40 TAMBAK
@SITE COUNTRY LAT LONG SCS FAMILY
TAMBAK INDONESIA 5.45 112.41 TYPIC HAPLUDALF
@ SCOM SALB SLU1 SLDR SLRO SLNF SLPF SMHB SMPX SMKE
R .14 6 .05 83 1 1 IB001 IB001 IB001
@ SLB SLMH SLLL SDUL SSAT SRGF SSKS SBDM SLOC SLCL SLSI SLCF SLNI SLHW SLHB
SCEC SADC
20 -99 .273 .431 .463 1 .09 1.27 .98 47 41 5 .08 5.5 -99
24.7 -99
40 -99 .225 .388 .478 .549 .15 1.26 .77 37 48 3 .06 5.3 -99
27.3 -99
DATA 2
*SOILS: General DSSAT Soil Input File
! DSSAT v4.7; 09/01/2017
!
! Standard Soil Profiles
!
! The following generic information was developed by A.J. Gijsman:
!
! - BD was estimated as BD = 100 / (SOM% / 0.224 + (100 - SOM%) / mineral BD)
! (Adams, 1973; Rawls and Brakensiek, 1985).
! - LL and DUL are according to Saxton et al., 1986.
! - SAT was taken as a fraction of porosity (Dalgliesh and Foale, 1998):
! 0.93 for soil classes S, SL and LS; 0.95 for soil classes L, SIL, SI,
! SCL and SC; and 0.97 for soil classes C, CL, SIC and SICL.
! For this, porosity was estimated as: POR = 1 - BD / APD (in which APD
! is the adjusted particle density, i.e. corrected for SOM; Baumer and Rice, 1988).
! - The ranges of LL and DUL values were calculated by stepping through the
! complete texture triangle in steps of 1% sand, 1% silt and 1% clay (>5000
! combinations), but with the texture limitations that Saxton set for his method
! taken into consideration. For SAT, these limitations do not hold, as this was
! based on POR and not on Saxton. See Gijsman et al., 2002.
! - The root growth distribution function SRGF was was calculated as:
! SRGF = 1 * EXP(-0.02 * LAYER_CENTER); SRGF was set 1 for LAYER_BOTTOM <= 15.
!
! SOIL CLASS BD LL DUL SAT
! ========== ============= ============= ============= =============
! C 1.129 - 1.512 0.220 - 0.346 0.330 - 0.467 0.413 - 0.488
! CL 1.243 - 1.502 0.156 - 0.218 0.282 - 0.374 0.417 - 0.512
! L 1.245 - 1.483 0.083 - 0.156 0.222 - 0.312 0.415 - 0.501
! LS 1.353 - 1.629 0.059 - 0.110 0.137 - 0.185 0.355 - 0.416
! S 1.446 - 1.574 0.055 - 0.085 0.123 - 0.158 0.374 - 0.400
! SC 1.501 - 1.593 0.195 - 0.294 0.276 - 0.389 0.376 - 0.409
! SCL 1.475 - 1.636 0.132 - 0.191 0.213 - 0.304 0.360 - 0.418
! SI 0.978 - 1.464 0.096 - 0.099 0.299 - 0.307 0.442 - 0.488
! SIC 1.307 - 1.446 0.224 - 0.326 0.379 - 0.456 0.455 - 0.489
! SICL 1.248 - 1.464 0.155 - 0.219 0.324 - 0.392 0.448 - 0.511
! SIL 0.968 - 1.464 0.082 - 0.152 0.240 - 0.333 0.439 - 0.547
! SL 1.142 - 1.647 0.066 - 0.133 0.164 - 0.243 0.348 - 0.499
!
!==========================================================================================
============
! Start of Generic soil profiles
!==========================================================================================
============
!
! The 12 Generic soils for SOIL.SOL, as estimated by Arjan Gijsman:
!
! - LL, DUL are according to the Nearest Neighbor method (Jagtap et al, 2004)
! - Ksat at -99
! - BD according to Gijsman et al (2002)
! - SAT based on the APSRU manual (Dalgliesh and Foale, 1998); i.e. 93-97% of porosity
! depending on the soil type) in which porosity is according to Baumer and Rice (1988).
!
! References
! Adams W.A. 1973. The effect of organic matter on the bulk and true densities of some
! uncultivated podzolic soils. J. Soil Science 24, 10-17.
! Baumer O.W. and Rice J.W. 1988. Methods to predict soil input data for DRAINMOD.
! Am. Soc. Agr. Eng. Paper 88-2564
! Dalgliesh, N.P., and M.A. Foale. 1998. Soil Matters – monitoring soil water and nitrogen
! in dryland farming. CSIRO, Agricultural Production Systems Research Unit,
! Toowoomba, Queensland, Australia. 122 pp.
! Gijsman A.J., Jagtap S.S., Jones J.W. 2002. Wading through a swamp of complete confusion:
! how to choose a method for estimating soil water retention parameters for crop models.
! European Journal of Agronomy, 18: 75-105.
! Jagtap S.S., Lal U., Jones J.W., Gijsman A.J., Ritchie J.T. 2004. A dynamic nearest-
neighbor
! method for estimating soil water parameters. Transactions of ASAE 47: 1437-1444
! Rawls W.J. and Brakensiek D.L. 1985. Prediction of soil water properties for hydrologic
! modeling. In: Jones, E.B. and Ward, T.J. (Eds.), Proc. Symp. Watershed Management
! in the Eighties. April 30-May 1, 1985, Denver, CO. Am. Soc. Civil Eng.,
! New York, NY. pp.293-299.
! Saxton K.E., Rawls W.J., Romberger J.S., Papendick R.I. 1986. Estimating generalized
soil-water
! characteristics from texture. Soil Sci. Soc. Am. J. 50, 1031-1036
!
!==========================================================================================
============
*IDTA201902 DSMW CL 40 TAMBAK
@SITE COUNTRY LAT LONG SCS FAMILY
TAMBAK INDONESIA 5.43 112.42 TYPIC HAPLUDALF
@ SCOM SALB SLU1 SLDR SLRO SLNF SLPF SMHB SMPX SMKE
R .14 6 .4 83 1 1 IB001 IB001 IB001
@ SLB SLMH SLLL SDUL SSAT SRGF SSKS SBDM SLOC SLCL SLSI SLCF SLNI SLHW SLHB
SCEC SADC
20 -99 .188 .345 .476 1 .23 1.22 .88 30 48 6 .08 5.1 -99
29.9 -99
40 -99 .149 .308 .491 .549 .68 1.24 .58 22 52 2 .05 4.9 -99
32.5 -99
DATA 3
*SOILS: General DSSAT Soil Input File
! DSSAT v4.7; 09/01/2017
!
! Standard Soil Profiles
!
! The following generic information was developed by A.J. Gijsman:
!
! - BD was estimated as BD = 100 / (SOM% / 0.224 + (100 - SOM%) / mineral BD)
! (Adams, 1973; Rawls and Brakensiek, 1985).
! - LL and DUL are according to Saxton et al., 1986.
! - SAT was taken as a fraction of porosity (Dalgliesh and Foale, 1998):
! 0.93 for soil classes S, SL and LS; 0.95 for soil classes L, SIL, SI,
! SCL and SC; and 0.97 for soil classes C, CL, SIC and SICL.
! For this, porosity was estimated as: POR = 1 - BD / APD (in which APD
! is the adjusted particle density, i.e. corrected for SOM; Baumer and Rice, 1988).
! - The ranges of LL and DUL values were calculated by stepping through the
! complete texture triangle in steps of 1% sand, 1% silt and 1% clay (>5000
! combinations), but with the texture limitations that Saxton set for his method
! taken into consideration. For SAT, these limitations do not hold, as this was
! based on POR and not on Saxton. See Gijsman et al., 2002.
! - The root growth distribution function SRGF was was calculated as:
! SRGF = 1 * EXP(-0.02 * LAYER_CENTER); SRGF was set 1 for LAYER_BOTTOM <= 15.
!
! SOIL CLASS BD LL DUL SAT
! ========== ============= ============= ============= =============
! C 1.129 - 1.512 0.220 - 0.346 0.330 - 0.467 0.413 - 0.488
! CL 1.243 - 1.502 0.156 - 0.218 0.282 - 0.374 0.417 - 0.512
! L 1.245 - 1.483 0.083 - 0.156 0.222 - 0.312 0.415 - 0.501
! LS 1.353 - 1.629 0.059 - 0.110 0.137 - 0.185 0.355 - 0.416
! S 1.446 - 1.574 0.055 - 0.085 0.123 - 0.158 0.374 - 0.400
! SC 1.501 - 1.593 0.195 - 0.294 0.276 - 0.389 0.376 - 0.409
! SCL 1.475 - 1.636 0.132 - 0.191 0.213 - 0.304 0.360 - 0.418
! SI 0.978 - 1.464 0.096 - 0.099 0.299 - 0.307 0.442 - 0.488
! SIC 1.307 - 1.446 0.224 - 0.326 0.379 - 0.456 0.455 - 0.489
! SICL 1.248 - 1.464 0.155 - 0.219 0.324 - 0.392 0.448 - 0.511
! SIL 0.968 - 1.464 0.082 - 0.152 0.240 - 0.333 0.439 - 0.547
! SL 1.142 - 1.647 0.066 - 0.133 0.164 - 0.243 0.348 - 0.499
!
!==========================================================================================
============
! Start of Generic soil profiles
!==========================================================================================
============
!
! The 12 Generic soils for SOIL.SOL, as estimated by Arjan Gijsman:
!
! - LL, DUL are according to the Nearest Neighbor method (Jagtap et al, 2004)
! - Ksat at -99
! - BD according to Gijsman et al (2002)
! - SAT based on the APSRU manual (Dalgliesh and Foale, 1998); i.e. 93-97% of porosity
! depending on the soil type) in which porosity is according to Baumer and Rice (1988).
!
! References
! Adams W.A. 1973. The effect of organic matter on the bulk and true densities of some
! uncultivated podzolic soils. J. Soil Science 24, 10-17.
! Baumer O.W. and Rice J.W. 1988. Methods to predict soil input data for DRAINMOD.
! Am. Soc. Agr. Eng. Paper 88-2564
! Dalgliesh, N.P., and M.A. Foale. 1998. Soil Matters – monitoring soil water and nitrogen
! in dryland farming. CSIRO, Agricultural Production Systems Research Unit,
! Toowoomba, Queensland, Australia. 122 pp.
! Gijsman A.J., Jagtap S.S., Jones J.W. 2002. Wading through a swamp of complete confusion:
! how to choose a method for estimating soil water retention parameters for crop models.
! European Journal of Agronomy, 18: 75-105.
! Jagtap S.S., Lal U., Jones J.W., Gijsman A.J., Ritchie J.T. 2004. A dynamic nearest-
neighbor
! method for estimating soil water parameters. Transactions of ASAE 47: 1437-1444
! Rawls W.J. and Brakensiek D.L. 1985. Prediction of soil water properties for hydrologic
! modeling. In: Jones, E.B. and Ward, T.J. (Eds.), Proc. Symp. Watershed Management
! in the Eighties. April 30-May 1, 1985, Denver, CO. Am. Soc. Civil Eng.,
! New York, NY. pp.293-299.
! Saxton K.E., Rawls W.J., Romberger J.S., Papendick R.I. 1986. Estimating generalized
soil-water
! characteristics from texture. Soil Sci. Soc. Am. J. 50, 1031-1036
!
!==========================================================================================
============
*IDTA201903 DSMW SIL 40 TAMBAK
@SITE COUNTRY LAT LONG SCS FAMILY
TAMBAK INDONESIA 5.43 112.42 TYPIC HAPLUDALF
@ SCOM SALB SLU1 SLDR SLRO SLNF SLPF SMHB SMPX SMKE
R .14 6 .05 83 1 1 IB001 IB001 IB001
@ SLB SLMH SLLL SDUL SSAT SRGF SSKS SBDM SLOC SLCL SLSI SLCF SLNI SLHW SLHB
SCEC SADC
20 -99 .123 .291 .491 1 .68 1.2 1.19 14 53 4 .1 4.7 -99
35.1 -99
40 -99 .076 .249 .527 .549 .68 1.15 .78 6 60 1 .08 4.5 -99
37.7 -99
