added data from an LES of the convective boundary layer

LES_data/12:00:00.csv

+,z (m),T (K)
+0,104.61375,292.75513
+1,250.9158,291.30023
+2,399.01718,289.84985
+3,548.9846,288.38223
+4,700.87024,286.89624
+5,854.7408,285.40323
+6,1010.65985,283.88593
+7,1168.6957,282.3574
+8,1328.919,280.81174
+9,1491.4197,279.40717
+10,1656.5417,278.76794

LES_data/12:05:00.csv

+,z (m),T (K)
+0,104.63044,292.81693
+1,250.96162,291.35452
+2,399.08752,289.88522
+3,549.06885,288.4033
+4,700.96686,286.91745
+5,854.84564,285.41412
+6,1010.7687,283.89987
+7,1168.8077,282.36926
+8,1329.0474,280.84476
+9,1491.5764,279.41296
+10,1656.6958,278.76587

LES_data/12:10:00.csv

+,z (m),T (K)
+0,104.64053,292.8412
+1,250.99008,291.39212
+2,399.1356,289.9218
+3,549.1452,288.45856
+4,701.0722,286.96027
+5,854.9684,285.44617
+6,1010.9071,283.92368
+7,1168.9636,282.40125
+8,1329.215,280.87393
+9,1491.744,279.3786
+10,1656.8445,278.7661

LES_data/12:15:00.csv

+,z (m),T (K)
+0,104.65235,292.84622
+1,251.00133,291.4003
+2,399.1606,289.9513
+3,549.19354,288.5
+4,701.1504,287.0105
+5,855.0767,285.489
+6,1011.0446,283.9634
+7,1169.118,282.41534
+8,1329.3774,280.87784
+9,1491.9067,279.36282
+10,1657.0023,278.75778

LES_data/12:20:00.csv

+,z (m),T (K)
+0,104.66183,292.88528
+1,251.03629,291.4437
+2,399.2155,289.9828
+3,549.25287,288.51013
+4,701.21936,287.03296
+5,855.1668,285.5216
+6,1011.1504,283.98685
+7,1169.2432,282.44873
+8,1329.5244,280.89288
+9,1492.0632,279.37167
+10,1657.1584,278.76874

LES_data/12:25:00.csv

+,z (m),T (K)
+0,104.67916,292.9251
+1,251.07758,291.47595
+2,399.28177,290.02332
+3,549.336,288.52313
+4,701.3047,287.04794
+5,855.2639,285.54092
+6,1011.2584,284.00882
+7,1169.3656,282.46628
+8,1329.6558,280.90918
+9,1492.2186,279.44012
+10,1657.3092,278.7582

LES_data/12:30:00.csv

+,z (m),T (K)
+0,104.69882,292.96912
+1,251.11365,291.49982
+2,399.32083,290.0212
+3,549.37756,288.55118
+4,701.3753,287.10507
+5,855.36755,285.58075
+6,1011.38245,284.0261
+7,1169.4956,282.47977
+8,1329.7963,280.9436
+9,1492.3757,279.42325
+10,1657.4669,278.7542

LES_data/12:35:00.csv

+,z (m),T (K)
+0,104.705635,293.00067
+1,251.14572,291.5426
+2,399.37488,290.05255
+3,549.45636,288.5915
+4,701.46436,287.10187
+5,855.4561,285.6002
+6,1011.49554,284.07944
+7,1169.636,282.51157
+8,1329.9508,280.94846
+9,1492.5345,279.4231
+10,1657.619,278.7614

LES_data/12:40:00.csv

+,z (m),T (K)
+0,104.7094,292.99548
+1,251.1549,291.584
+2,399.41562,290.12268
+3,549.5237,288.61005
+4,701.5477,287.13153
+5,855.55646,285.62387
+6,1011.60815,284.0912
+7,1169.759,282.53223
+8,1330.0913,280.97687
+9,1492.6898,279.44547
+10,1657.778,278.72382

LES_data/12:45:00.csv

+,z (m),T (K)
+0,104.73158,293.05484
+1,251.18668,291.57224
+2,399.4402,290.1133
+3,549.55505,288.6427
+4,701.5954,287.16507
+5,855.6186,285.64276
+6,1011.6857,284.12704
+7,1169.8666,282.57416
+8,1330.2245,281.01285
+9,1492.8503,279.49167
+10,1657.9393,278.68884

LES_data/12:50:00.csv

+,z (m),T (K)
+0,104.74464,293.0937
+1,251.22433,291.6097
+2,399.49255,290.12817
+3,549.6126,288.64703
+4,701.65656,287.16962
+5,855.68396,285.66476
+6,1011.7622,284.14386
+7,1169.9535,282.6094
+8,1330.34,281.0629
+9,1492.9988,279.55237
+10,1658.096,278.6429

LES_data/12:55:00.csv

+,z (m),T (K)
+0,104.75955,293.1115
+1,251.25266,291.64
+2,399.54187,290.1812
+3,549.6926,288.6896
+4,701.75665,287.1879
+5,855.7898,285.6764
+6,1011.87506,284.16367
+7,1170.0831,282.63367
+8,1330.4795,281.08282
+9,1493.1488,279.55728
+10,1658.2524,278.61768

LES_data/13:00:00.csv

+,z (m),T (K)
+0,104.77462,293.17618
+1,251.28949,291.6576
+2,399.5896,290.19604
+3,549.7543,288.73148
+4,701.8448,287.2449
+5,855.91125,285.7143
+6,1012.0149,284.19348
+7,1170.2319,282.63956
+8,1330.6334,281.09097
+9,1493.3062,279.54718
+10,1658.4062,278.63403

LES_data/13:05:00.csv

+,z (m),T (K)
+0,104.76953,293.1754
+1,251.30927,291.71204
+2,399.63727,290.24304
+3,549.82733,288.74594
+4,701.9236,287.25583
+5,856.00616,285.75565
+6,1012.1322,284.21097
+7,1170.3676,282.6725
+8,1330.7848,281.10538
+9,1493.463,279.54678
+10,1658.5598,278.615

LES_data/13:10:00.csv

+,z (m),T (K)
+0,104.77716,293.16702
+1,251.31227,291.73438
+2,399.65753,290.27774
+3,549.8714,288.80325
+4,702.00073,287.3004
+5,856.1016,285.7682
+6,1012.2372,284.2343
+7,1170.4932,282.70486
+8,1330.9319,281.1195
+9,1493.6183,279.5632
+10,1658.7189,278.5852

LES_data/13:15:00.csv

+,z (m),T (K)
+0,104.785614,293.20676
+1,251.32939,291.73758
+2,399.6781,290.28424
+3,549.8998,288.823
+4,702.0472,287.33115
+5,856.1742,285.81555
+6,1012.3446,284.28882
+7,1170.6211,282.71014
+8,1331.0668,281.14932
+9,1493.7739,279.58157
+10,1658.8795,278.57986

LES_data/13:20:00.csv

+,z (m),T (K)
+0,104.78973,293.21112
+1,251.34444,291.77075
+2,399.71545,290.32166
+3,549.9526,288.84595
+4,702.1139,287.35696
+5,856.2539,285.8417
+6,1012.4426,284.32068
+7,1170.7417,282.74854
+8,1331.2026,281.17065
+9,1493.9258,279.6036
+10,1659.0364,278.54993

LES_data/13:25:00.csv

+,z (m),T (K)
+0,104.79122,293.20978
+1,251.35617,291.78778
+2,399.73526,290.335
+3,549.98346,288.87924
+4,702.1678,287.39236
+5,856.3275,285.8586
+6,1012.52014,284.32077
+7,1170.8333,282.79776
+8,1331.331,281.21307
+9,1494.0754,279.63797
+10,1659.2008,278.51514

LES_data/13:30:00.csv

+,z (m),T (K)
+0,104.81106,293.25656
+1,251.39929,291.82126
+2,399.79245,290.34952
+3,550.0492,288.8868
+4,702.23096,287.39554
+5,856.3986,285.87524
+6,1012.6061,284.3536
+7,1170.9299,282.80743
+8,1331.4358,281.241
+9,1494.205,279.69647
+10,1659.3729,278.51498

LES_data/13:35:00.csv

+,z (m),T (K)
+0,104.83373,293.29886
+1,251.43622,291.85712
+2,399.85925,290.40344
+3,550.132,288.89804
+4,702.3107,287.3887
+5,856.471,285.8915
+6,1012.6893,284.3707
+7,1171.0281,282.84195
+8,1331.5624,281.28107
+9,1494.3583,279.7413
+10,1659.533,278.4181