Calculates daily reference evapotranspiration amounts using the Priestley-Taylor method.
Arguments
- Tavg
A vector, 1-column matrix or data frame with daily average air temperature.
- Rn
A vector, 1-column matrix or data frame with daily net radiation in \(MJ m-2 day-1\).
- G
Optional. A vector, 1-column matrix or data frame with daily soil heat flux in \(MJ m-2 day-1\). May be provided by
Soil_Heat_Flux- Coeff
Single number defining the Priestley and Taylor coefficient. Default is 1.26.
Examples
# See `?DataForCWB` for more on this data set
Tavg <- DataForCWB[, 2]
Rn <- DataForCWB[, 6]
G <- DataForCWB[, 9]
ET0_PT(Tavg = Tavg, Rn = Rn, G = G)
#> ET0_PT
#> [1,] 3.432709
#> [2,] 5.849554
#> [3,] 6.432616
#> [4,] 5.695334
#> [5,] 7.023900
#> [6,] 7.817355
#> [7,] 7.969599
#> [8,] 4.393576
#> [9,] 4.653462
#> [10,] 5.978814
#> [11,] 5.304786
#> [12,] 4.664253
#> [13,] 6.553145
#> [14,] 5.484314
#> [15,] 5.201022
#> [16,] 6.503054
#> [17,] 5.715570
#> [18,] 6.909315
#> [19,] 7.804435
#> [20,] 5.077747
#> [21,] 5.845326
#> [22,] 4.293102
#> [23,] 3.053320
#> [24,] 4.884104
#> [25,] 3.575602
#> [26,] 4.604058
#> [27,] 2.698581
#> [28,] 6.133369
#> [29,] 7.351322
#> [30,] 6.916084
#> [31,] 4.948312
#> [32,] 4.325298
#> [33,] 5.846221
#> [34,] 5.229740
#> [35,] 2.328130
#> [36,] 5.710129
#> [37,] 7.402896
#> [38,] 8.153433
#> [39,] 7.228566
#> [40,] 6.020548
#> [41,] 5.591019
#> [42,] 2.795372
#> [43,] 2.261419
#> [44,] 2.904630
#> [45,] 5.422204
#> [46,] 5.998695
#> [47,] 6.019247
#> [48,] 3.484288
#> [49,] 6.013609
#> [50,] 4.528488
#> [51,] 4.286374
#> [52,] 3.810094
#> [53,] 3.028765
#> [54,] 4.208284
#> [55,] 6.741852
#> [56,] 6.173091
#> [57,] 3.640752
#> [58,] 4.583939
#> [59,] 4.847745
#> [60,] 3.469756
#> [61,] 6.278070
#> [62,] 4.744446
#> [63,] 6.003765
#> [64,] 6.592318
#> [65,] 7.002078
#> [66,] 7.226482
#> [67,] 6.885681
#> [68,] 6.901872
#> [69,] 5.215671
#> [70,] 6.089763
#> [71,] 4.930984
#> [72,] 4.739992
#> [73,] 3.877625
#> [74,] 2.444163
#> [75,] 2.963215
#> [76,] 6.456451
#> [77,] 6.784993
#> [78,] 5.013275
#> [79,] 6.513050
#> [80,] 6.626130
#> [81,] 5.490744
#> [82,] 6.076198
#> [83,] 6.764660
#> [84,] 4.622510
#> [85,] 5.203206
#> [86,] 4.417313
#> [87,] 4.838369
#> [88,] 5.880765
#> [89,] 5.952378
#> [90,] 5.917262
#> [91,] 6.395339
#> [92,] 5.619474
#> [93,] 6.358471
#> [94,] 6.106976
#> [95,] 5.079787
#> [96,] 5.347358
#> [97,] 6.061473
#> [98,] 5.660362
#> [99,] 2.487020
#> [100,] 2.801926
#> [101,] 2.136770
#> [102,] 2.528400
#> [103,] 2.625068
#> [104,] 2.252863
#> [105,] 4.098172
#> [106,] 2.746582
#> [107,] 2.650451
#> [108,] 4.489595
#> [109,] 5.007572
#> [110,] 4.113771
#> [111,] 2.417191
#> [112,] 5.397230
#> [113,] 5.296223
#> [114,] 3.467445
#> [115,] 5.578272
#> [116,] 4.592273
#> [117,] 3.672019
#> [118,] 2.864292
#> [119,] 5.063881
#> [120,] 5.547227
#> [121,] 2.988344
#> [122,] 3.795440
#> [123,] 5.320628
#> [124,] 5.897138
#> [125,] 5.316923
#> [126,] 5.149022
#> [127,] 4.480929
#> [128,] 4.105992
#> [129,] 3.861724