added data from an LES of the convective boundary layer

LES_data/07:00:00.csv

+,z (m),T (K)
+0,103.181526,289.29858
+1,247.72797,288.32248
+2,394.288,287.3367
+3,542.9232,286.32822
+4,693.6967,285.2969
+5,846.67413,284.24194
+6,1001.9289,283.17892
+7,1159.5463,282.11624
+8,1319.6104,281.02713
+9,1482.2019,279.9104
+10,1647.4066,278.76572

LES_data/07:05:00.csv

+,z (m),T (K)
+0,103.32955,289.3041
+1,247.87619,288.32254
+2,394.43616,287.33664
+3,543.07153,286.3283
+4,693.845,285.29688
+5,846.82245,284.24167
+6,1002.0774,283.179
+7,1159.6948,282.1162
+8,1319.7588,281.02698
+9,1482.3503,279.91046
+10,1647.5554,278.7658

LES_data/07:10:00.csv

+,z (m),T (K)
+0,103.40709,289.6062
+1,248.02582,288.31036
+2,394.58398,287.3367
+3,543.219,286.32843
+4,693.99243,285.29703
+5,846.96967,284.24182
+6,1002.22437,283.17917
+7,1159.8414,282.11636
+8,1319.9053,281.02716
+9,1482.4967,279.91064
+10,1647.7015,278.766

LES_data/07:15:00.csv

+,z (m),T (K)
+0,103.46564,289.77835
+1,248.16777,288.37753
+2,394.73233,287.32907
+3,543.3672,286.32816
+4,694.14087,285.29678
+5,847.1184,284.2416
+6,1002.37335,283.17896
+7,1159.9907,282.11618
+8,1320.055,281.02695
+9,1482.6466,279.91046
+10,1647.8517,278.7658

LES_data/07:20:00.csv

+,z (m),T (K)
+0,103.51141,289.8998
+1,248.28465,288.49353
+2,394.8845,287.29562
+3,543.51514,286.32828
+4,694.2886,285.29697
+5,847.266,284.24176
+6,1002.5207,283.1791
+7,1160.138,282.11633
+8,1320.2017,281.0271
+9,1482.7931,279.9106
+10,1647.9979,278.766

LES_data/07:25:00.csv

+,z (m),T (K)
+0,103.56713,290.02747
+1,248.4024,288.58884
+2,395.03876,287.2928
+3,543.6645,286.32077
+4,694.4377,285.29703
+5,847.4151,284.24167
+6,1002.6699,283.17902
+7,1160.2875,282.11627
+8,1320.3512,281.02704
+9,1482.9429,279.91055
+10,1648.1478,278.7659

LES_data/07:30:00.csv

+,z (m),T (K)
+0,103.60412,290.1261
+1,248.49757,288.6921
+2,395.18442,287.34055
+3,543.81616,286.31482
+4,694.58936,285.29675
+5,847.56696,284.24176
+6,1002.8217,283.17908
+7,1160.4391,282.11627
+8,1320.5032,281.02707
+9,1483.0947,279.91055
+10,1648.2996,278.76587

LES_data/07:35:00.csv

+,z (m),T (K)
+0,103.63281,290.2092
+1,248.57338,288.7924
+2,395.31818,287.43106
+3,543.97485,286.27277
+4,694.7385,285.29456
+5,847.71576,284.2416
+6,1002.9705,283.17917
+7,1160.5878,282.11633
+8,1320.6519,281.0271
+9,1483.2434,279.91058
+10,1648.4482,278.7659

LES_data/07:40:00.csv

+,z (m),T (K)
+0,103.6731,290.314
+1,248.66953,288.8857
+2,395.45633,287.48135
+3,544.1298,286.24536
+4,694.8893,285.2945
+5,847.8664,284.24094
+6,1003.12146,283.1792
+7,1160.7388,282.1163
+8,1320.8029,281.02704
+9,1483.3944,279.91055
+10,1648.5994,278.76587

LES_data/07:45:00.csv

+,z (m),T (K)
+0,103.71475,290.41437
+1,248.75563,288.96368
+2,395.5897,287.54803
+3,544.2849,286.22147
+4,695.0402,285.29413
+5,848.0165,284.24036
+6,1003.27167,283.17932
+7,1160.8889,282.11633
+8,1320.9528,281.0271
+9,1483.5446,279.9106
+10,1648.7493,278.76593

LES_data/07:50:00.csv

+,z (m),T (K)
+0,103.734924,290.45813
+1,248.81831,289.05618
+2,395.6981,287.61932
+3,544.4351,286.2846
+4,695.198,285.26648
+5,848.168,284.2386
+6,1003.42267,283.17975
+7,1161.0399,282.1163
+8,1321.1039,281.02707
+9,1483.6958,279.91055
+10,1648.9005,278.7659

LES_data/07:55:00.csv

+,z (m),T (K)
+0,103.76639,290.547
+1,248.8895,289.11426
+2,395.79962,287.6915
+3,544.5779,286.35098
+4,695.3566,285.23682
+5,848.31915,284.23267
+6,1003.57336,283.17996
+7,1161.1902,282.1161
+8,1321.2544,281.0271
+9,1483.8461,279.91068
+10,1649.0508,278.76593

LES_data/08:00:00.csv

+,z (m),T (K)
+0,103.79174,290.6117
+1,248.95073,289.19342
+2,395.9084,287.76935
+3,544.72656,286.3862
+4,695.5133,285.1949
+5,848.47217,284.2333
+6,1003.7247,283.1775
+7,1161.3412,282.11563
+8,1321.4053,281.02704
+9,1483.9971,279.91068
+10,1649.2019,278.76593

LES_data/08:05:00.csv

+,z (m),T (K)
+0,103.82328,290.6948
+1,249.01646,289.2499
+2,396.00836,287.84558
+3,544.86896,286.4472
+4,695.673,285.17343
+5,848.62695,284.21234
+6,1003.87585,283.17554
+7,1161.4913,282.11353
+8,1321.5554,281.02692
+9,1484.1473,279.91068
+10,1649.352,278.7659

LES_data/08:10:00.csv

+,z (m),T (K)
+0,103.856026,290.77332
+1,249.09091,289.3193
+2,396.11554,287.89322
+3,545.00226,286.48853
+4,695.8318,285.18317
+5,848.7766,284.21817
+6,1004.0274,283.1708
+7,1161.6411,282.10962
+8,1321.7043,281.0258
+9,1484.2958,279.91068
+10,1649.5006,278.76578

LES_data/08:15:00.csv

+,z (m),T (K)
+0,103.877464,290.83337
+1,249.1507,289.40076
+2,396.21762,287.9652
+3,545.1408,286.54083
+4,695.9927,285.17703
+5,848.93536,284.1616
+6,1004.1791,283.17728
+7,1161.7925,282.10895
+8,1321.8556,281.02512
+9,1484.4471,279.91077
+10,1649.652,278.76578

LES_data/08:20:00.csv

+,z (m),T (K)
+0,103.90251,290.91132
+1,249.20877,289.45578
+2,396.3101,288.03958
+3,545.2732,286.58563
+4,696.1476,285.17972
+5,849.0868,284.18286
+6,1004.3307,283.17624
+7,1161.9443,282.10565
+8,1322.0057,281.02362
+9,1484.597,279.91132
+10,1649.8018,278.7656

LES_data/08:25:00.csv

+,z (m),T (K)
+0,103.92407,290.9636
+1,249.26958,289.52872
+2,396.40363,288.07983
+3,545.3875,286.63617
+4,696.2969,285.2251
+5,849.24005,284.1443
+6,1004.4841,283.18045
+7,1162.0984,282.10547
+8,1322.1587,281.0248
+9,1484.7505,279.91153
+10,1649.9552,278.76523

LES_data/08:30:00.csv

+,z (m),T (K)
+0,103.946815,291.00812
+1,249.31564,289.59003
+2,396.48325,288.133
+3,545.4935,286.6848
+4,696.4294,285.29892
+5,849.40546,284.10706
+6,1004.6354,283.18112
+7,1162.2518,282.11868
+8,1322.3131,281.01636
+9,1484.9025,279.9098
+10,1650.1069,278.7642

LES_data/08:35:00.csv

+,z (m),T (K)
+0,103.97015,291.06024
+1,249.3609,289.62292
+2,396.55066,288.19128
+3,545.6014,286.77332
+4,696.5821,285.3638
+5,849.57904,284.0811
+6,1004.7904,283.1277
+7,1162.402,282.11472
+8,1322.4672,281.02493
+9,1485.0552,279.90207
+10,1650.2572,278.76382