% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27052 % Primary Name: WIERGATE % Record Type: TAVG % Country: United States % State: TX % Latitude: 31.01670 +/- 0.00005 % Longitude: -93.71670 +/- 0.00005 % Elevation (m): 54.90 +/- 0.05 % # of Months: 198 % % IDs: coop - 419734 % ghcnd - USC00419734 % ncdc - 20024886 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: ee884bb01c70d8e487a9c5e1dcd323f4 % Raw Data Hash: c56dd97c6bce65bd2b6c21209754a8b2 % Adj Data Hash: 208c59b4007b58f7f6bd4425936f8c08 % % 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 1924 8 NaN NaN NaN NaN NaN NaN 29.181 1.499 1924 9 NaN NaN NaN NaN NaN NaN 24.202 -0.737 1924 10 NaN NaN NaN NaN NaN NaN 19.745 0.551 1924 11 NaN NaN NaN NaN NaN NaN 15.418 1.736 1924 12 NaN NaN NaN NaN NaN NaN 9.437 -0.505 1925 1 NaN NaN NaN NaN NaN NaN 7.488 -1.096 1925 2 NaN NaN NaN NaN NaN NaN 12.869 2.363 1925 3 NaN NaN NaN NaN NaN NaN 15.950 1.559 1925 4 NaN NaN NaN NaN NaN NaN 20.959 2.082 1925 5 NaN NaN NaN NaN NaN NaN 21.836 -0.915 1925 6 NaN NaN NaN NaN NaN NaN 28.038 1.825 1925 7 NaN NaN NaN NaN NaN NaN 28.785 0.840 1925 8 28.803 0.319 0 0 28.142 -0.342 27.893 0.211 1925 9 27.237 1.495 0 0 26.726 0.985 27.118 2.179 1925 10 20.485 0.488 0 0 20.176 0.179 18.652 -0.543 1925 11 14.942 0.458 0 0 14.740 0.256 12.799 -0.883 1925 12 9.944 -0.800 0 0 9.699 -1.045 7.762 -2.180 1926 1 9.619 0.234 0 0 9.329 -0.057 7.213 -1.370 1926 2 14.218 2.910 0 0 13.978 2.670 12.478 1.973 1926 3 13.737 -1.457 0 0 13.501 -1.693 11.986 -2.405 1926 4 17.325 -2.354 0 0 16.910 -2.769 16.429 -2.447 1926 5 22.029 -1.524 0 0 21.375 -2.179 21.477 -1.274 1926 6 26.157 -0.859 0 0 25.392 -1.624 25.848 -0.365 1926 7 27.445 -1.302 0 0 26.703 -2.044 26.588 -1.356 1926 8 28.161 -0.323 0 0 27.500 -0.984 27.605 -0.077 1926 9 25.810 0.068 0 0 25.300 -0.442 26.781 1.842 1926 10 21.534 1.537 0 0 21.224 1.227 21.266 2.071 1926 11 11.395 -3.089 0 0 11.194 -3.291 11.537 -2.145 1926 12 11.744 0.999 0 0 11.499 0.754 11.005 1.064 1927 1 13.261 3.876 0 0 12.970 3.585 10.898 2.315 1927 2 16.179 4.870 0 0 15.938 4.630 14.376 3.871 1927 3 15.913 0.719 0 0 15.677 0.483 14.340 -0.051 1927 4 21.422 1.742 0 0 21.007 1.328 20.649 1.773 1927 5 26.414 2.861 0 0 25.760 2.207 24.051 1.300 1927 6 26.715 -0.301 0 0 25.950 -1.066 25.885 -0.328 1927 7 27.737 -1.010 0 0 26.995 -1.752 27.113 -0.832 1927 8 28.321 -0.164 0 0 27.660 -0.824 27.671 -0.011 1927 9 26.068 0.327 0 0 25.558 -0.184 25.650 0.711 1927 10 22.034 2.037 0 0 21.724 1.727 20.442 1.247 1927 11 19.642 5.158 0 0 19.440 4.956 18.161 4.479 1927 12 10.587 -0.157 0 0 10.342 -0.402 8.501 -1.441 1928 1 11.529 2.143 0 0 11.238 1.852 9.036 0.453 1928 2 12.519 1.211 0 0 12.279 0.971 10.079 -0.426 1928 3 16.447 1.253 0 0 16.210 1.017 15.055 0.664 1928 4 16.480 -3.199 0 0 16.065 -3.614 15.945 -2.932 1928 5 26.557 3.004 0 0 25.903 2.350 22.240 -0.510 1928 6 27.277 0.261 0 0 26.512 -0.504 25.603 -0.610 1928 7 27.344 -1.404 0 0 26.602 -2.146 27.455 -0.490 1928 8 28.523 0.038 0 0 27.862 -0.623 28.329 0.647 1928 9 24.707 -1.035 0 0 24.196 -1.545 24.015 -0.924 1928 10 22.747 2.750 0 0 22.437 2.440 21.022 1.827 1928 11 14.583 0.099 0 0 14.382 -0.102 12.971 -0.710 1928 12 11.076 0.332 0 0 10.831 0.087 9.528 -0.414 1929 1 11.579 2.193 0 0 11.288 1.902 9.572 0.989 1929 2 9.095 -2.213 0 0 8.854 -2.454 6.489 -4.016 1929 3 15.956 0.763 0 4 16.551 1.357 15.957 1.566 1929 4 20.438 0.759 0 0 20.855 1.175 20.531 1.654 1929 5 21.874 -1.679 0 0 22.051 -1.502 21.764 -0.987 1929 6 25.693 -1.322 0 0 25.759 -1.256 26.106 -0.107 1929 7 27.121 -1.626 0 0 27.210 -1.537 27.267 -0.678 1929 8 27.829 -0.656 0 0 27.999 -0.485 27.826 0.144 1929 9 24.838 -0.903 0 0 25.159 -0.583 25.238 0.298 1929 10 21.979 1.982 0 0 22.501 2.503 19.640 0.446 1929 11 12.247 -2.237 0 0 12.876 -1.608 10.575 -3.106 1929 12 10.742 -0.002 0 0 11.328 0.584 9.704 -0.237 1930 1 8.237 -1.149 0 0 8.777 -0.609 5.870 -2.713 1930 2 NaN NaN NaN NaN NaN NaN 13.683 3.177 1930 3 13.352 -1.842 0 0 13.946 -1.247 12.423 -1.969 1930 4 20.390 0.711 0 0 20.806 1.127 20.624 1.747 1930 5 22.552 -1.002 0 0 22.728 -0.825 22.285 -0.466 1930 6 25.408 -1.607 0 0 25.474 -1.541 25.840 -0.373 1930 7 27.779 -0.968 0 0 27.868 -0.879 28.713 0.769 1930 8 27.463 -1.022 0 0 27.633 -0.852 28.036 0.354 1930 9 24.823 -0.918 0 0 25.144 -0.598 25.385 0.446 1930 10 18.631 -1.367 0 0 19.152 -0.845 18.032 -1.162 1930 11 14.142 -0.342 0 0 14.771 0.287 13.252 -0.429 1930 12 9.568 -1.176 0 0 10.154 -0.590 8.043 -1.899 1931 1 10.111 0.725 0 0 10.651 1.266 8.726 0.142 1931 2 13.111 1.803 0 0 13.702 2.394 11.766 1.260 1931 3 11.667 -3.527 0 0 12.261 -2.932 10.846 -3.545 1931 4 16.778 -2.901 0 0 17.194 -2.485 16.711 -2.166 1931 5 19.667 -3.886 0 0 19.843 -3.710 19.810 -2.941 1931 6 25.444 -1.571 0 0 25.510 -1.505 26.504 0.291 1931 7 27.778 -0.970 0 0 27.867 -0.881 28.292 0.347 1931 8 26.000 -2.485 0 0 26.170 -2.314 26.317 -1.365 1931 9 26.556 0.814 0 0 26.876 1.134 27.032 2.093 1931 10 22.556 2.558 0 0 23.077 3.080 21.885 2.690 1931 11 17.778 3.294 0 0 18.407 3.923 17.033 3.352 1931 12 12.778 2.034 0 0 13.364 2.620 11.824 1.882 1932 1 12.444 3.059 0 0 12.985 3.599 11.193 2.610 1932 2 16.222 4.914 0 0 16.813 5.505 14.963 4.457 1932 3 13.111 -2.083 0 0 13.706 -1.488 12.073 -2.318 1932 4 19.444 -0.235 0 0 19.861 0.181 19.390 0.514 1932 5 22.444 -1.109 0 4 22.628 -0.926 22.257 -0.494 1932 6 26.278 -0.738 0 0 26.536 -0.480 27.236 1.023 1932 7 29.111 0.364 0 0 29.354 0.606 29.075 1.130 1932 8 28.889 0.404 0 0 29.076 0.592 28.408 0.726 1932 9 27.333 1.592 0 0 27.419 1.677 25.213 0.274 1932 10 19.000 -0.997 0 0 18.949 -1.048 18.166 -1.028 1932 11 12.444 -2.040 0 0 12.320 -2.164 11.005 -2.676 1932 12 9.667 -1.078 0 0 9.572 -1.172 8.341 -1.601 1933 1 14.889 5.503 0 0 14.825 5.440 12.469 3.886 1933 2 12.722 1.414 0 0 12.625 1.316 9.752 -0.754 1933 3 16.389 1.195 0 0 16.289 1.095 15.295 0.904 1933 4 19.111 -0.568 0 0 19.132 -0.547 18.622 -0.255 1933 5 25.167 1.614 0 0 25.350 1.797 24.616 1.866 1933 6 25.611 -1.405 0 0 25.869 -1.146 25.968 -0.245 1933 7 27.333 -1.414 0 0 27.576 -1.172 27.680 -0.265 1933 8 27.889 -0.596 0 0 28.076 -0.408 27.719 0.037 1933 9 27.000 1.258 0 0 27.086 1.344 27.351 2.412 1933 10 22.000 2.003 0 0 21.949 1.952 20.553 1.359 1933 11 NaN NaN NaN NaN NaN NaN 15.230 1.548 1933 12 16.667 5.922 0 0 16.572 5.828 15.125 5.183 1934 1 12.889 3.503 0 0 12.825 3.440 10.279 1.696 1934 2 12.389 1.081 0 0 12.291 0.983 9.830 -0.675 1934 3 15.111 -0.083 0 0 15.011 -0.183 13.396 -0.995 1934 4 20.778 1.099 0 0 20.798 1.119 19.769 0.893 1934 5 22.556 -0.998 0 0 22.739 -0.814 22.344 -0.406 1934 6 28.000 0.984 0 0 28.258 1.243 27.916 1.703 1934 7 28.278 -0.470 0 0 28.520 -0.227 28.684 0.739 1934 8 28.444 -0.040 0 0 28.632 0.147 29.080 1.398 1934 9 24.389 -1.353 0 0 24.474 -1.267 24.639 -0.300 1934 10 21.444 1.447 0 0 21.394 1.396 21.606 2.411 1934 11 17.333 2.849 0 0 17.209 2.725 15.330 1.648 1934 12 11.000 0.256 0 0 10.906 0.161 10.281 0.340 1935 1 11.889 2.503 0 0 11.825 2.440 10.635 2.052 1935 2 12.556 1.247 0 0 12.458 1.150 10.600 0.094 1935 3 19.000 3.806 0 0 18.900 3.706 17.877 3.486 1935 4 20.500 0.821 0 0 20.521 0.841 19.087 0.211 1935 5 22.222 -1.331 0 0 22.405 -1.148 21.933 -0.817 1935 6 24.556 -2.460 0 0 24.814 -2.202 26.125 -0.088 1935 7 26.000 -2.747 0 0 26.242 -2.505 27.882 -0.063 1935 8 27.278 -1.207 0 0 27.465 -1.019 28.210 0.528 1935 9 24.333 -1.408 0 0 24.419 -1.323 24.238 -0.702 1935 10 21.389 1.392 0 0 21.338 1.341 20.985 1.790 1935 11 14.000 -0.484 0 0 13.876 -0.608 13.415 -0.267 1935 12 7.556 -3.189 0 0 7.461 -3.283 8.020 -1.922 1936 1 8.333 -1.052 0 0 8.270 -1.116 7.432 -1.151 1936 2 8.333 -2.975 0 0 8.236 -3.073 7.423 -3.082 1936 3 16.000 0.806 0 0 15.900 0.706 16.546 2.155 1936 4 17.056 -2.624 0 0 17.076 -2.603 17.669 -1.208 1936 5 22.333 -1.220 0 0 22.517 -1.037 22.438 -0.312 1936 6 NaN NaN NaN NaN NaN NaN 27.517 1.304 1936 7 26.667 -2.081 0 0 26.909 -1.838 27.214 -0.731 1936 8 29.056 0.571 0 0 29.243 0.758 28.616 0.934 1936 9 27.222 1.481 0 0 27.308 1.566 26.864 1.925 1936 10 20.278 0.281 0 0 20.227 0.230 17.973 -1.222 1936 11 NaN NaN NaN NaN NaN NaN 11.698 -1.984 1936 12 NaN NaN NaN NaN NaN NaN 10.889 0.947 1937 1 NaN NaN NaN NaN NaN NaN 10.599 2.016 1937 2 NaN NaN NaN NaN NaN NaN 10.767 0.261 1937 3 13.889 -1.305 0 0 13.789 -1.405 11.948 -2.443 1937 4 19.333 -0.346 0 0 19.354 -0.325 18.472 -0.404 1937 5 23.111 -0.442 0 0 23.294 -0.259 23.019 0.268 1937 6 NaN NaN NaN NaN NaN NaN 27.315 1.102 1937 7 27.944 -0.803 0 0 28.187 -0.561 27.993 0.049 1937 8 NaN NaN NaN NaN NaN NaN 28.283 0.601 1937 9 NaN NaN NaN NaN NaN NaN 24.965 0.026 1937 10 21.167 1.169 0 0 21.116 1.119 18.787 -0.408 1937 11 13.667 -0.817 0 0 13.543 -0.941 11.799 -1.883 1937 12 10.667 -0.078 0 0 10.572 -0.172 10.326 0.384 1938 1 11.111 1.725 0 0 11.048 1.662 9.819 1.236 1938 2 14.778 3.470 0 0 14.680 3.372 13.741 3.235 1938 3 18.833 3.640 0 0 18.733 3.539 18.201 3.810 1938 4 18.333 -1.346 0 0 18.354 -1.325 18.092 -0.785 1938 5 22.667 -0.886 0 0 22.850 -0.703 22.701 -0.049 1938 6 NaN NaN NaN NaN NaN NaN 26.389 0.176 1938 7 27.444 -1.303 0 0 27.687 -1.061 27.513 -0.432 1938 8 NaN NaN NaN NaN NaN NaN 27.700 0.018 1938 9 NaN NaN NaN NaN NaN NaN 25.028 0.089 1938 10 NaN NaN NaN NaN NaN NaN 20.869 1.675 1938 11 14.444 -0.040 0 0 14.320 -0.164 13.047 -0.635 1938 12 11.389 0.645 0 0 11.294 0.550 10.292 0.350 1939 1 12.667 3.281 0 0 12.603 3.217 10.505 1.922 1939 2 13.444 2.136 0 0 13.347 2.039 10.869 0.364 1939 3 16.889 1.695 0 0 16.789 1.595 15.682 1.291 1939 4 20.056 0.376 0 0 20.076 0.397 18.304 -0.573 1939 5 23.111 -0.442 0 0 23.294 -0.259 22.665 -0.085 1939 6 26.944 -0.071 0 0 27.203 0.187 27.099 0.886 1939 7 28.389 -0.359 0 0 28.631 -0.116 28.627 0.682 1939 8 27.333 -1.151 0 0 27.521 -0.964 28.136 0.454 1939 9 25.667 -0.075 0 0 25.752 0.010 26.972 2.033 1939 10 19.500 -0.497 0 0 19.449 -0.548 20.172 0.977 1939 11 13.833 -0.651 0 0 13.709 -0.775 12.155 -1.527 1939 12 12.667 1.922 0 0 12.572 1.828 11.830 1.889 1940 1 3.722 -5.664 0 0 3.659 -5.727 2.356 -6.227 1940 2 9.944 -1.364 0 0 9.847 -1.461 9.038 -1.467 1940 3 15.500 0.306 0 0 15.400 0.206 14.780 0.389 1940 4 18.889 -0.790 0 0 18.910 -0.770 18.164 -0.713 1940 5 21.889 -1.664 0 0 22.072 -1.481 21.479 -1.271 1940 6 25.167 -1.849 0 0 25.425 -1.591 25.271 -0.943 1940 7 26.667 -2.081 0 0 26.909 -1.838 26.851 -1.094 1940 8 25.833 -2.651 0 0 26.021 -2.464 26.097 -1.585 1940 9 23.444 -2.297 0 0 23.530 -2.212 23.330 -1.610 1940 10 19.611 -0.386 0 0 19.560 -0.437 19.565 0.370 1940 11 14.667 0.183 0 0 14.543 0.059 13.457 -0.225 1940 12 13.444 2.700 0 0 13.350 2.606 12.182 2.240 1941 1 11.889 2.503 0 0 11.825 2.440 10.286 1.702 1941 2 10.000 -1.308 0 0 9.902 -1.406 8.378 -2.128 1941 3 12.278 -2.916 0 0 12.177 -3.016 11.341 -3.051 1941 4 20.333 0.654 0 0 20.354 0.675 19.349 0.473 1941 5 23.000 -0.553 0 0 23.183 -0.370 22.743 -0.008 1941 6 26.667 -0.349 0 0 26.925 -0.091 26.147 -0.066 1941 7 27.500 -1.247 0 0 27.742 -1.005 27.547 -0.398 1941 8 28.389 -0.096 0 0 28.576 0.092 28.171 0.489 1941 9 26.444 0.703 0 0 26.530 0.788 26.169 1.230 1941 10 23.556 3.558 0 0 23.505 3.508 22.505 3.311 1941 11 12.556 -1.929 0 0 12.432 -2.053 12.243 -1.439 1941 12 11.778 1.034 0 0 11.683 0.939 11.100 1.159 1942 1 7.667 -1.719 0 0 7.603 -1.783 7.020 -1.563 1942 2 NaN NaN NaN NaN NaN NaN 8.684 -1.821 1942 3 14.000 -1.194 0 0 13.900 -1.294 13.477 -0.914 1942 4 19.500 -0.179 0 0 19.521 -0.159 18.729 -0.148 1942 5 22.667 -0.886 0 0 22.850 -0.703 22.002 -0.749 1942 6 25.556 -1.460 0 0 25.814 -1.202 26.522 0.309 1942 7 27.389 -1.359 0 0 27.631 -1.116 27.102 -0.843 1942 8 27.444 -1.040 0 0 27.632 -0.853 27.394 -0.288 1942 9 24.333 -1.408 0 0 24.419 -1.323 23.726 -1.213 1942 10 21.278 1.281 0 0 21.227 1.230 19.508 0.313 1942 11 NaN NaN NaN NaN NaN NaN 15.966 2.284 1942 12 NaN NaN NaN NaN NaN NaN 11.060 1.119 1943 1 NaN NaN NaN NaN NaN NaN 9.186 0.603 1943 2 NaN NaN NaN NaN NaN NaN 11.982 1.477 1943 3 15.667 0.473 0 0 15.566 0.373 12.714 -1.677 1943 4 24.111 4.432 0 0 24.132 4.453 19.654 0.778 1943 5 27.000 3.447 0 0 27.183 3.630 23.931 1.181 1943 6 29.333 2.318 0 0 29.592 2.576 27.607 1.394 1943 7 30.444 1.697 0 0 30.687 1.939 28.098 0.153 1943 8 30.944 2.460 0 0 31.132 2.647 28.590 0.908 1943 9 NaN NaN NaN NaN NaN NaN 23.926 -1.013 1943 10 NaN NaN NaN NaN NaN NaN 18.080 -1.115 1943 11 NaN NaN NaN NaN NaN NaN 12.084 -1.598 1943 12 NaN NaN NaN NaN NaN NaN 9.368 -0.574 1944 1 NaN NaN NaN NaN NaN NaN 8.576 -0.007 1944 2 NaN NaN NaN NaN NaN NaN 13.565 3.060 1944 3 NaN NaN NaN NaN NaN NaN 14.597 0.206 1944 4 NaN NaN NaN NaN NaN NaN 18.843 -0.034 1944 5 NaN NaN NaN NaN NaN NaN 21.981 -0.769 1944 6 NaN NaN NaN NaN NaN NaN 27.373 1.160 1944 7 NaN NaN NaN NaN NaN NaN 28.544 0.599 1944 8 NaN NaN NaN NaN NaN NaN 28.352 0.670