% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27519 % Primary Name: MANN % Record Type: TAVG % Country: United States % State: TX % Latitude: 31.95000 +/- 0.00005 % Longitude: -96.61670 +/- 0.00005 % Elevation (m): 137.16 +/- 0.15 % # of Months: 93 % % Alternate Names: Missing Station ID - 415550 % % IDs: coop - 415550 % ghcnd - USC00415550 % ncdc - 12005281 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: e7fb1518e5bc1878505436c104086032 % Raw Data Hash: 38e73229e4c03f6b494d230fd8653d25 % Adj Data Hash: dced30c4f7b9f31750237aface9d45cb % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1895 6 NaN NaN NaN NaN NaN NaN 26.167 -0.675 1895 7 NaN NaN NaN NaN NaN NaN 27.998 -0.786 1895 8 NaN NaN NaN NaN NaN NaN 28.553 -0.067 1895 9 NaN NaN NaN NaN NaN NaN 27.105 1.567 1895 10 NaN NaN NaN NaN NaN NaN 17.835 -2.126 1895 11 NaN NaN NaN NaN NaN NaN 12.380 -1.662 1895 12 NaN NaN NaN NaN NaN NaN 9.862 -0.288 1896 1 NaN NaN NaN NaN NaN NaN 8.414 -0.103 1896 2 NaN NaN NaN NaN NaN NaN 10.843 0.120 1896 3 NaN NaN NaN NaN NaN NaN 13.392 -1.384 1896 4 NaN NaN NaN NaN NaN NaN 20.383 1.109 1896 5 NaN NaN NaN NaN NaN NaN 25.074 1.934 1896 6 27.123 0.333 0 0 27.123 0.333 27.989 1.147 1896 7 29.344 0.612 0 0 29.344 0.612 29.087 0.303 1896 8 30.903 2.336 1 0 NaN NaN 29.471 0.851 1896 9 25.514 0.029 0 0 25.514 0.029 25.804 0.265 1896 10 NaN NaN NaN NaN NaN NaN 18.750 -1.211 1896 11 11.200 -2.789 1 0 NaN NaN 14.585 0.543 1896 12 11.080 0.983 1 0 NaN NaN 10.583 0.433 1897 1 5.470 -2.995 1 0 NaN NaN 6.558 -1.960 1897 2 9.167 -1.504 1 0 NaN NaN 11.668 0.945 1897 3 NaN NaN NaN NaN NaN NaN 16.978 2.201 1897 4 NaN NaN NaN NaN NaN NaN 18.925 -0.349 1897 5 19.524 -3.563 1 0 NaN NaN 22.068 -1.072 1897 6 NaN NaN NaN NaN NaN NaN 26.855 0.012 1897 7 31.012 2.281 0 0 31.012 2.281 29.474 0.690 1897 8 29.659 1.093 0 0 29.659 1.093 28.432 -0.188 1897 9 26.481 0.996 0 0 26.481 0.996 24.994 -0.544 1897 10 NaN NaN NaN NaN NaN NaN 21.349 1.388 1897 11 NaN NaN NaN NaN NaN NaN 14.193 0.151 1897 12 NaN NaN NaN NaN NaN NaN 8.434 -1.716 1898 1 8.403 -0.062 1 0 NaN NaN 10.302 1.785 1898 2 12.321 1.651 0 0 12.321 1.651 11.700 0.976 1898 3 15.233 0.509 0 0 15.233 0.509 14.933 0.156 1898 4 18.037 -1.184 0 0 18.037 -1.184 17.610 -1.663 1898 5 23.154 0.067 0 0 23.154 0.067 23.068 -0.072 1898 6 25.648 -1.142 1 0 NaN NaN 26.438 -0.404 1898 7 27.685 -1.046 0 0 27.685 -1.046 27.399 -1.385 1898 8 27.751 -0.816 1 0 NaN NaN 27.732 -0.887 1898 9 26.074 0.589 0 0 26.074 0.589 25.630 0.092 1898 10 19.556 -0.354 0 0 19.556 -0.354 18.754 -1.208 1898 11 11.722 -2.267 0 0 11.722 -2.267 11.660 -2.382 1898 12 6.004 -4.093 0 0 6.004 -4.093 6.860 -3.290 1899 1 4.769 -3.696 0 0 4.769 -3.696 7.413 -1.104 1899 2 2.328 -8.342 0 0 2.328 -8.342 3.995 -6.728 1899 3 NaN NaN NaN NaN NaN NaN 15.444 0.667 1899 4 NaN NaN NaN NaN NaN NaN 18.111 -1.163 1899 5 23.492 0.405 0 0 23.492 0.405 24.677 1.537 1899 6 25.648 -1.142 0 0 25.648 -1.142 26.493 -0.349 1899 7 27.204 -1.527 0 0 27.204 -1.527 27.820 -0.964 1899 8 30.143 1.576 0 0 30.143 1.576 29.722 1.102 1899 9 24.389 -1.097 0 0 24.389 -1.097 24.644 -0.895 1899 10 22.059 2.150 1 0 NaN NaN 21.246 1.284 1899 11 14.663 0.674 0 0 14.663 0.674 14.274 0.233 1899 12 9.909 -0.189 0 0 9.909 -0.189 9.466 -0.684 1900 1 9.068 0.603 0 0 9.068 0.603 8.980 0.463 1900 2 8.722 -1.949 1 0 NaN NaN 9.173 -1.550 1900 3 15.363 0.639 1 0 NaN NaN 14.295 -0.482 1900 4 18.796 -0.425 0 0 18.796 -0.425 18.725 -0.549 1900 5 21.720 -1.367 0 0 21.720 -1.367 22.169 -0.971 1900 6 26.667 -0.123 0 0 26.667 -0.123 27.249 0.406 1900 7 27.358 -1.373 0 0 27.358 -1.373 27.265 -1.519 1900 8 26.845 -1.722 0 0 26.845 -1.722 27.281 -1.339 1900 9 26.533 1.048 0 0 26.533 1.048 27.294 1.755 1900 10 20.919 1.010 0 0 20.919 1.010 21.155 1.193 1900 11 12.537 -1.452 0 0 12.537 -1.452 14.595 0.554 1900 12 8.963 -1.134 0 0 8.963 -1.134 10.004 -0.146 1901 1 10.611 2.146 0 0 10.611 2.146 10.699 2.182 1901 2 6.664 -4.006 0 0 6.664 -4.006 8.442 -2.281 1901 3 12.878 -1.846 0 0 12.878 -1.846 14.265 -0.512 1901 4 15.202 -4.019 0 0 15.202 -4.019 17.096 -2.178 1901 5 20.672 -2.416 1 0 NaN NaN 22.126 -1.014 1901 6 26.048 -0.742 0 0 26.048 -0.742 27.311 0.469 1901 7 29.222 0.491 1 0 NaN NaN 28.955 0.171 1901 8 30.398 1.831 0 0 30.398 1.831 29.241 0.621 1901 9 25.309 -0.177 0 0 25.309 -0.177 24.560 -0.978 1901 10 20.618 0.709 0 0 20.618 0.709 19.847 -0.115 1901 11 14.374 0.385 0 0 14.374 0.385 14.056 0.015 1901 12 9.185 -0.912 0 0 9.185 -0.912 8.650 -1.500 1902 1 7.537 -0.927 0 0 7.537 -0.927 7.185 -1.332 1902 2 9.486 -1.184 0 0 9.486 -1.184 8.494 -2.229 1902 3 NaN NaN NaN NaN NaN NaN 15.242 0.465 1902 4 20.794 1.574 0 0 20.794 1.574 20.416 1.143 1902 5 24.444 1.357 0 0 24.444 1.357 24.391 1.251 1902 6 28.585 1.795 0 0 28.585 1.795 27.986 1.143 1902 7 27.325 -1.406 1 0 NaN NaN 27.379 -1.405 1902 8 29.124 0.557 0 0 29.124 0.557 29.304 0.684 1902 9 23.485 -2.001 0 0 23.485 -2.001 24.145 -1.394 1902 10 19.148 -0.761 0 0 19.148 -0.761 19.661 -0.301 1902 11 16.947 2.958 0 0 16.947 2.958 16.397 2.356 1902 12 9.510 -0.587 0 0 9.510 -0.587 9.751 -0.398 1903 1 8.994 0.529 0 0 8.994 0.529 8.288 -0.229 1903 2 7.617 -3.053 0 0 7.617 -3.053 8.106 -2.617 1903 3 14.429 -0.295 0 0 14.429 -0.295 14.147 -0.630 1903 4 18.786 -0.435 0 0 18.786 -0.435 18.331 -0.942 1903 5 21.102 -1.985 0 0 21.102 -1.985 21.208 -1.932 1903 6 23.182 -3.607 0 0 23.182 -3.607 23.598 -3.245 1903 7 26.771 -1.960 0 0 26.771 -1.960 26.994 -1.790 1903 8 27.376 -1.191 0 0 27.376 -1.191 27.606 -1.013 1903 9 23.630 -1.855 0 0 23.630 -1.855 23.992 -1.546 1903 10 17.216 -2.693 0 0 17.216 -2.693 18.134 -1.828 1903 11 NaN NaN NaN NaN NaN NaN 12.704 -1.338 1903 12 NaN NaN NaN NaN NaN NaN 9.534 -0.616 1904 1 8.071 -0.393 0 0 8.071 -0.393 7.091 -1.427 1904 2 13.394 2.724 0 0 13.394 2.724 12.457 1.734 1904 3 19.014 4.290 0 0 19.014 4.290 17.642 2.865 1904 4 18.840 -0.381 0 0 18.840 -0.381 18.253 -1.020 1904 5 22.805 -0.282 0 0 22.805 -0.282 22.144 -0.996 1904 6 26.510 -0.280 0 0 26.510 -0.280 26.430 -0.413 1904 7 NaN NaN NaN NaN NaN NaN 27.057 -1.727 1904 8 NaN NaN NaN NaN NaN NaN 27.223 -1.397 1904 9 NaN NaN NaN NaN NaN NaN 26.242 0.704 1904 10 NaN NaN NaN NaN NaN NaN 20.666 0.705 1904 11 NaN NaN NaN NaN NaN NaN 13.882 -0.160 1904 12 NaN NaN NaN NaN NaN NaN 9.795 -0.355 1905 1 6.716 -1.749 1 0 NaN NaN 5.977 -2.541 1905 2 NaN NaN NaN NaN NaN NaN 3.964 -6.759 1905 3 NaN NaN NaN NaN NaN NaN 16.545 1.768 1905 4 NaN NaN NaN NaN NaN NaN 18.509 -0.765 1905 5 NaN NaN NaN NaN NaN NaN 24.020 0.880 1905 6 NaN NaN NaN NaN NaN NaN 27.102 0.260 1905 7 26.504 -2.227 1 0 NaN NaN 26.646 -2.138 1905 8 29.354 0.787 0 2 29.354 0.787 28.500 -0.120 1905 9 27.120 1.634 0 0 27.120 1.634 26.478 0.940 1905 10 19.640 -0.269 0 0 19.640 -0.269 19.669 -0.292 1905 11 14.503 0.514 0 0 14.503 0.514 15.488 1.446 1905 12 6.140 -3.957 0 0 6.140 -3.957 6.602 -3.548 1906 1 NaN NaN NaN NaN NaN NaN 8.741 0.223 1906 2 10.424 -0.247 1 0 NaN NaN 9.170 -1.553 1906 3 NaN NaN NaN NaN NaN NaN 12.136 -2.640 1906 4 NaN NaN NaN NaN NaN NaN 19.435 0.161 1906 5 NaN NaN NaN NaN NaN NaN 22.721 -0.419 1906 6 NaN NaN NaN NaN NaN NaN 27.253 0.411 1906 7 NaN NaN NaN NaN NaN NaN 27.166 -1.618 1906 8 NaN NaN NaN NaN NaN NaN 27.296 -1.323 1906 9 NaN NaN NaN NaN NaN NaN 26.067 0.528 1906 10 NaN NaN NaN NaN NaN NaN 17.051 -2.910 1906 11 NaN NaN NaN NaN NaN NaN 14.169 0.127 1906 12 NaN NaN NaN NaN NaN NaN 12.682 2.532 1907 1 NaN NaN NaN NaN NaN NaN 13.712 5.194 1907 2 NaN NaN NaN NaN NaN NaN 11.844 1.121