added data from an LES of the convective boundary layer

LES_data/10:20:00.csv

+,z (m),T (K)
+0,104.34804,292.0711
+1,250.28209,290.6146
+2,398.00095,289.14456
+3,547.5771,287.69128
+4,699.0708,286.2124
+5,852.5492,284.7373
+6,1008.07935,283.23813
+7,1165.7229,281.77225
+8,1325.6759,280.9258
+9,1488.2566,279.92
+10,1653.4666,278.75574

LES_data/10:25:00.csv

+,z (m),T (K)
+0,104.36421,292.12204
+1,250.32443,290.66528
+2,398.0807,289.21097
+3,547.6797,287.72394
+4,699.1914,286.24115
+5,852.6794,284.74393
+6,1008.2152,283.25366
+7,1165.8737,281.77792
+8,1325.8282,280.9081
+9,1488.4098,279.908
+10,1653.616,278.77716

LES_data/10:30:00.csv

+,z (m),T (K)
+0,104.38195,292.14374
+1,250.35904,290.69284
+2,398.12698,289.2393
+3,547.7525,287.76883
+4,699.28815,286.28024
+5,852.7997,284.78687
+6,1008.35596,283.2806
+7,1166.033,281.8028
+8,1325.9877,280.87827
+9,1488.5658,279.91827
+10,1653.7705,278.7747

LES_data/10:35:00.csv

+,z (m),T (K)
+0,104.387985,292.15543
+1,250.37215,290.71738
+2,398.1575,289.26993
+3,547.80145,287.81973
+4,699.37054,286.32623
+5,852.90784,284.82272
+6,1008.4857,283.3186
+7,1166.1871,281.8778
+8,1326.1633,280.7613
+9,1488.7203,279.91925
+10,1653.9293,278.7714

LES_data/10:40:00.csv

+,z (m),T (K)
+0,104.39499,292.17636
+1,250.39824,290.7801
+2,398.22305,289.3232
+3,547.8857,287.8244
+4,699.4504,286.3285
+5,852.99133,284.85452
+6,1008.59784,283.39075
+7,1166.3422,281.91794
+8,1326.3247,280.72073
+9,1488.8751,279.90784
+10,1654.0802,278.7758

LES_data/10:45:00.csv

+,z (m),T (K)
+0,104.40132,292.2207
+1,250.41953,290.7869
+2,398.25256,289.3572
+3,547.945,287.89078
+4,699.5529,286.40906
+5,853.1378,284.90866
+6,1008.7623,283.41116
+7,1166.5112,281.9202
+8,1326.4928,280.66666
+9,1489.0269,279.91702
+10,1654.2332,278.767

LES_data/10:50:00.csv

+,z (m),T (K)
+0,104.42002,292.24988
+1,250.4596,290.83603
+2,398.3126,289.3862
+3,548.0147,287.90906
+4,699.6326,286.42758
+5,853.23206,284.9366
+6,1008.88226,283.44193
+7,1166.6571,281.94626
+8,1326.6542,280.66153
+9,1489.1843,279.90833
+10,1654.3895,278.78168

LES_data/10:55:00.csv

+,z (m),T (K)
+0,104.44579,292.3148
+1,250.51205,290.86526
+2,398.3718,289.3913
+3,548.0783,287.92697
+4,699.7112,286.4648
+5,853.33673,284.99152
+6,1009.0109,283.4818
+7,1166.8085,282.015
+8,1326.83,280.63232
+9,1489.3348,279.92545
+10,1654.5406,278.76678

LES_data/11:00:00.csv

+,z (m),T (K)
+0,104.45,292.34195
+1,250.5434,290.91794
+2,398.4359,289.44864
+3,548.1683,287.96597
+4,699.81757,286.495
+5,853.457,285.03253
+6,1009.1531,283.523
+7,1166.9674,282.0004
+8,1326.9907,280.63162
+9,1489.4858,279.90112
+10,1654.6918,278.77164

LES_data/11:05:00.csv

+,z (m),T (K)
+0,104.45685,292.3419
+1,250.55086,290.94373
+2,398.4581,289.49487
+3,548.23865,288.06235
+4,699.93463,286.55447
+5,853.5934,285.03687
+6,1009.2954,283.53137
+7,1167.1201,282.0271
+8,1327.1569,280.6182
+9,1489.6488,279.90778
+10,1654.8475,278.76657

LES_data/11:10:00.csv

+,z (m),T (K)
+0,104.47753,292.39856
+1,250.59235,290.96375
+2,398.5096,289.50763
+3,548.28015,288.04626
+4,699.98083,286.57605
+5,853.66437,285.07828
+6,1009.4029,283.60092
+7,1167.2726,282.08292
+8,1327.3225,280.59366
+9,1489.8024,279.88986
+10,1655.0095,278.7654

LES_data/11:15:00.csv

+,z (m),T (K)
+0,104.48977,292.4505
+1,250.62886,291.01044
+2,398.56808,289.56555
+3,548.3726,288.07837
+4,700.084,286.59976
+5,853.7776,285.11133
+6,1009.5262,283.6221
+7,1167.4023,282.11533
+8,1327.4926,280.68225
+9,1489.9669,279.7621
+10,1655.1539,278.77063

LES_data/11:20:00.csv

+,z (m),T (K)
+0,104.509705,292.4884
+1,250.66551,291.0338
+2,398.61868,289.5886
+3,548.43604,288.12012
+4,700.17804,286.65063
+5,853.9015,285.1567
+6,1009.6754,283.65698
+7,1167.5703,282.1466
+8,1327.6611,280.63712
+9,1490.1271,279.70615
+10,1655.3074,278.75735

LES_data/11:25:00.csv

+,z (m),T (K)
+0,104.52045,292.51947
+1,250.70308,291.09094
+2,398.684,289.61688
+3,548.5172,288.14926
+4,700.2706,286.6749
+5,854.01117,285.18933
+6,1009.80115,283.67764
+7,1167.7108,282.1726
+8,1327.8202,280.68036
+9,1490.285,279.70206
+10,1655.4663,278.76184

LES_data/11:30:00.csv

+,z (m),T (K)
+0,104.535194,292.54108
+1,250.72852,291.12372
+2,398.73065,289.66544
+3,548.5891,288.18835
+4,700.3683,286.7151
+5,854.1233,285.20917
+6,1009.92883,283.70807
+7,1167.8553,282.19705
+8,1327.9838,280.6971
+9,1490.4447,279.60693
+10,1655.6157,278.7771

LES_data/11:35:00.csv

+,z (m),T (K)
+0,104.55673,292.60306
+1,250.76682,291.13535
+2,398.78754,289.69913
+3,548.66235,288.21835
+4,700.4522,286.7376
+5,854.22626,285.24533
+6,1010.0519,283.74426
+7,1167.9994,282.2305
+8,1328.1449,280.69827
+9,1490.5995,279.54626
+10,1655.7684,278.7595

LES_data/11:40:00.csv

+,z (m),T (K)
+0,104.554855,292.61908
+1,250.7903,291.1832
+2,398.83765,289.75687
+3,548.7409,288.25888
+4,700.5547,286.77698
+5,854.34906,285.27356
+6,1010.19006,283.7697
+7,1168.1469,282.2397
+8,1328.2998,280.72302
+9,1490.7664,279.52548
+10,1655.9214,278.764

LES_data/11:45:00.csv

+,z (m),T (K)
+0,104.56745,292.63528
+1,250.81584,291.21555
+2,398.8726,289.7769
+3,548.7964,288.30563
+4,700.6309,286.79694
+5,854.4422,285.31287
+6,1010.3063,283.802
+7,1168.2898,282.27878
+8,1328.4604,280.7358
+9,1490.9248,279.45874
+10,1656.08,278.76895

LES_data/11:50:00.csv

+,z (m),T (K)
+0,104.58883,292.68555
+1,250.85378,291.24472
+2,398.92828,289.79755
+3,548.86255,288.32263
+4,700.7141,286.83484
+5,854.5442,285.33432
+6,1010.421,283.82214
+7,1168.419,282.30005
+8,1328.6088,280.75812
+9,1491.0895,279.4379
+10,1656.2319,278.7704

LES_data/11:55:00.csv

+,z (m),T (K)
+0,104.59627,292.71817
+1,250.87816,291.289
+2,398.97668,289.83627
+3,548.9303,288.3577
+4,700.80255,286.87064
+5,854.65784,285.37558
+6,1010.5536,283.83817
+7,1168.559,282.3161
+8,1328.7593,280.7828
+9,1491.2528,279.42114
+10,1656.3856,278.76297