% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27283 % Primary Name: GRAPELAND % Record Type: TAVG % Country: United States % State: TX % Latitude: 31.48330 +/- 0.00005 % Longitude: -95.48330 +/- 0.00005 % Elevation (m): 146.00 +/- 0.05 % # of Months: 181 % % IDs: coop - 413689 % ghcnd - USC00413689 % ncdc - 20025047 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 5ebaf8044133eb6ab7a45cd91797ecac % Raw Data Hash: f7e4664d684683a8ca14fcafcb6de834 % Adj Data Hash: e2129c918df3dffe7f9334451f6bffb8 % % 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 1934 9 NaN NaN NaN NaN NaN NaN 25.225 -0.313 1934 10 NaN NaN NaN NaN NaN NaN 22.926 2.964 1934 11 NaN NaN NaN NaN NaN NaN 16.110 2.069 1934 12 NaN NaN NaN NaN NaN NaN 10.721 0.571 1935 1 NaN NaN NaN NaN NaN NaN 10.682 2.165 1935 2 NaN NaN NaN NaN NaN NaN 10.762 0.039 1935 3 NaN NaN NaN NaN NaN NaN 17.977 3.201 1935 4 NaN NaN NaN NaN NaN NaN 19.146 -0.127 1935 5 NaN NaN NaN NaN NaN NaN 21.559 -1.581 1935 6 NaN NaN NaN NaN NaN NaN 26.462 -0.381 1935 7 NaN NaN NaN NaN NaN NaN 28.799 0.015 1935 8 NaN NaN NaN NaN NaN NaN 29.259 0.639 1935 9 25.444 -0.063 0 0 25.968 0.461 24.080 -1.458 1935 10 23.000 3.069 0 0 23.430 3.500 21.492 1.530 1935 11 14.333 0.323 0 0 14.541 0.531 12.902 -1.140 1935 12 9.000 -1.119 0 0 8.915 -1.204 8.762 -1.388 1936 1 8.778 0.291 0 0 8.475 -0.011 7.634 -0.884 1936 2 7.944 -2.748 0 0 7.677 -3.015 6.976 -3.747 1936 3 NaN NaN NaN NaN NaN NaN 17.403 2.627 1936 4 NaN NaN NaN NaN NaN NaN 18.116 -1.158 1936 5 NaN NaN NaN NaN NaN NaN 22.825 -0.315 1936 6 NaN NaN NaN NaN NaN NaN 28.242 1.399 1936 7 NaN NaN NaN NaN NaN NaN 27.740 -1.044 1936 8 28.833 0.245 0 0 29.286 0.698 29.351 0.731 1936 9 26.222 0.715 0 0 26.746 1.238 26.734 1.196 1936 10 17.778 -2.153 0 0 18.208 -1.722 17.772 -2.190 1936 11 11.333 -2.677 0 0 11.541 -2.469 11.924 -2.117 1936 12 10.611 0.492 0 0 10.526 0.407 11.411 1.261 1937 1 8.444 -0.042 0 0 8.142 -0.344 8.056 -0.461 1937 2 NaN NaN NaN NaN NaN NaN 10.764 0.041 1937 3 11.611 -3.134 0 0 11.589 -3.156 11.943 -2.834 1937 4 19.556 0.313 0 0 19.730 0.487 19.162 -0.112 1937 5 23.333 0.225 0 0 23.517 0.408 23.786 0.646 1937 6 27.333 0.522 0 0 27.494 0.683 27.860 1.018 1937 7 NaN NaN NaN NaN NaN NaN 28.972 0.188 1937 8 NaN NaN NaN NaN NaN NaN 29.808 1.188 1937 9 24.444 -1.063 0 0 24.968 -0.539 25.818 0.280 1937 10 19.167 -0.764 0 0 19.597 -0.333 19.821 -0.141 1937 11 NaN NaN NaN NaN NaN NaN 12.213 -1.828 1937 12 NaN NaN NaN NaN NaN NaN 10.367 0.217 1938 1 NaN NaN NaN NaN NaN NaN 10.216 1.699 1938 2 NaN NaN NaN NaN NaN NaN 14.040 3.317 1938 3 18.111 3.366 0 0 18.089 3.344 18.502 3.725 1938 4 17.611 -1.631 0 0 17.785 -1.457 18.312 -0.961 1938 5 22.556 -0.553 0 0 22.739 -0.370 22.936 -0.204 1938 6 27.722 0.911 0 0 27.883 1.072 27.207 0.365 1938 7 28.111 -0.642 0 0 28.386 -0.367 28.261 -0.523 1938 8 28.833 0.245 0 0 29.286 0.698 28.927 0.307 1938 9 NaN NaN NaN NaN NaN NaN 25.991 0.453 1938 10 21.722 1.792 0 0 22.153 2.222 22.088 2.126 1938 11 12.833 -1.177 0 0 13.041 -0.969 13.043 -0.999 1938 12 9.889 -0.230 0 0 9.803 -0.315 10.740 0.590 1939 1 9.778 1.291 0 0 9.475 0.989 10.520 2.003 1939 2 NaN NaN NaN NaN NaN NaN 9.692 -1.032 1939 3 15.167 0.421 0 0 15.145 0.399 15.964 1.187 1939 4 NaN NaN NaN NaN NaN NaN 19.042 -0.231 1939 5 NaN NaN NaN NaN NaN NaN 23.746 0.606 1939 6 NaN NaN NaN NaN NaN NaN 27.379 0.537 1939 7 NaN NaN NaN NaN NaN NaN 29.479 0.695 1939 8 NaN NaN NaN NaN NaN NaN 29.064 0.444 1939 9 NaN NaN NaN NaN NaN NaN 27.667 2.129 1939 10 NaN NaN NaN NaN NaN NaN 21.435 1.473 1939 11 NaN NaN NaN NaN NaN NaN 12.588 -1.453 1939 12 NaN NaN NaN NaN NaN NaN 12.232 2.082 1940 1 NaN NaN NaN NaN NaN NaN 2.545 -5.973 1940 2 NaN NaN NaN NaN NaN NaN 9.612 -1.111 1940 3 NaN NaN NaN NaN NaN NaN 15.571 0.795 1940 4 NaN NaN NaN NaN NaN NaN 18.603 -0.670 1940 5 NaN NaN NaN NaN NaN NaN 22.268 -0.872 1940 6 NaN NaN NaN NaN NaN NaN 25.435 -1.407 1940 7 NaN NaN NaN NaN NaN NaN 27.385 -1.399 1940 8 NaN NaN NaN NaN NaN NaN 27.520 -1.100 1940 9 NaN NaN NaN NaN NaN NaN 24.286 -1.253 1940 10 NaN NaN NaN NaN NaN NaN 20.780 0.819 1940 11 NaN NaN NaN NaN NaN NaN 13.129 -0.912 1940 12 NaN NaN NaN NaN NaN NaN 11.673 1.523 1941 1 NaN NaN NaN NaN NaN NaN 10.372 1.855 1941 2 NaN NaN NaN NaN NaN NaN 8.895 -1.828 1941 3 NaN NaN NaN NaN NaN NaN 11.660 -3.117 1941 4 18.980 -0.262 0 2 19.571 0.328 19.196 -0.078 1941 5 22.626 -0.483 0 0 23.226 0.117 23.442 0.302 1941 6 NaN NaN NaN NaN NaN NaN 26.128 -0.714 1941 7 27.677 -1.076 0 0 28.368 -0.384 28.188 -0.596 1941 8 28.222 -0.366 0 0 29.092 0.503 28.733 0.113 1941 9 26.000 0.493 0 0 26.940 1.433 26.476 0.938 1941 10 22.389 2.458 0 0 23.236 3.305 22.671 2.709 1941 11 12.348 -1.662 0 0 12.973 -1.038 13.017 -1.025 1941 12 10.667 0.548 0 0 10.998 0.879 11.391 1.241 1942 1 6.944 -1.542 0 0 7.058 -1.428 7.257 -1.260 1942 2 8.805 -1.887 0 0 8.953 -1.739 9.451 -1.272 1942 3 13.778 -0.968 0 0 14.172 -0.573 14.097 -0.680 1942 4 19.000 -0.242 0 0 19.591 0.348 19.046 -0.228 1942 5 20.722 -2.387 0 0 21.322 -1.786 22.293 -0.847 1942 6 26.278 -0.534 0 0 26.855 0.044 26.968 0.125 1942 7 27.111 -1.642 0 0 27.802 -0.951 27.819 -0.965 1942 8 27.732 -0.856 0 0 28.602 0.013 28.377 -0.243 1942 9 23.333 -2.174 0 0 24.273 -1.234 23.917 -1.621 1942 10 18.222 -1.708 0 0 19.069 -0.862 19.798 -0.164 1942 11 15.778 1.767 0 0 16.402 2.392 16.313 2.271 1942 12 NaN NaN NaN NaN NaN NaN 11.279 1.129 1943 1 NaN NaN NaN NaN NaN NaN 8.857 0.340 1943 2 NaN NaN NaN NaN NaN NaN 13.041 2.318 1943 3 NaN NaN NaN NaN NaN NaN 12.385 -2.391 1943 4 NaN NaN NaN NaN NaN NaN 20.853 1.579 1943 5 24.333 1.225 0 4 24.205 1.096 23.987 0.847 1943 6 28.778 1.966 0 0 28.658 1.846 27.945 1.102 1943 7 NaN NaN NaN NaN NaN NaN 28.876 0.092 1943 8 29.389 0.800 0 0 29.161 0.572 29.546 0.926 1943 9 25.444 -0.063 0 0 25.190 -0.317 24.641 -0.897 1943 10 20.667 0.736 0 0 20.447 0.516 19.122 -0.840 1943 11 13.778 -0.233 0 0 13.640 -0.370 13.251 -0.790 1943 12 9.056 -1.063 0 0 9.026 -1.092 9.055 -1.095 1944 1 9.000 0.514 0 0 9.051 0.565 8.469 -0.048 1944 2 13.444 2.752 0 0 13.482 2.790 13.234 2.511 1944 3 14.222 -0.523 0 0 14.169 -0.576 14.303 -0.473 1944 4 19.333 0.091 0 0 19.208 -0.034 19.020 -0.254 1944 5 21.889 -1.220 0 0 21.760 -1.349 22.098 -1.042 1944 6 28.444 1.633 0 0 28.324 1.513 27.739 0.897 1944 7 29.667 0.914 0 0 29.504 0.751 29.218 0.434 1944 8 30.333 1.745 0 0 30.105 1.517 29.219 0.600 1944 9 26.000 0.493 0 0 25.746 0.239 25.444 -0.094 1944 10 21.778 1.847 0 0 21.558 1.627 20.439 0.477 1944 11 14.944 0.934 0 0 14.807 0.796 14.832 0.790 1944 12 7.706 -2.412 0 0 7.677 -2.442 8.376 -1.774 1945 1 8.333 -0.153 0 0 8.384 -0.102 8.633 0.115 1945 2 13.111 2.419 0 0 13.149 2.457 11.829 1.106 1945 3 18.611 3.866 0 0 18.558 3.813 18.055 3.278 1945 4 19.111 -0.131 0 0 18.986 -0.257 18.875 -0.398 1945 5 22.889 -0.220 0 0 22.760 -0.349 22.265 -0.875 1945 6 27.556 0.744 0 0 27.435 0.624 27.003 0.160 1945 7 28.056 -0.697 0 0 27.893 -0.860 27.839 -0.945 1945 8 28.556 -0.033 0 0 28.327 -0.261 28.321 -0.298 1945 9 26.167 0.660 0 0 25.913 0.405 25.956 0.418 1945 10 19.889 -0.042 0 0 19.669 -0.262 18.757 -1.205 1945 11 NaN NaN NaN NaN NaN NaN 16.818 2.776 1945 12 8.444 -1.674 0 0 8.415 -1.704 9.061 -1.089 1946 1 9.333 0.847 0 0 9.384 0.898 8.689 0.172 1946 2 12.111 1.419 0 0 12.149 1.457 11.994 1.271 1946 3 16.333 1.588 0 0 16.281 1.535 16.652 1.876 1946 4 21.667 2.424 0 0 21.541 2.299 20.766 1.492 1946 5 22.778 -0.331 0 0 22.649 -0.460 22.552 -0.588 1946 6 24.889 -1.922 0 0 24.769 -2.043 25.850 -0.992 1946 7 28.556 -0.197 0 0 28.393 -0.360 28.432 -0.352 1946 8 29.111 0.523 0 0 28.883 0.294 28.798 0.179 1946 9 25.333 -0.174 0 0 25.079 -0.428 24.999 -0.539 1946 10 23.889 3.958 0 0 23.669 3.738 20.970 1.008 1946 11 14.944 0.934 0 0 14.807 0.796 14.967 0.926 1946 12 12.222 2.104 0 0 12.193 2.074 12.908 2.758 1947 1 8.611 0.125 0 0 8.662 0.176 8.472 -0.045 1947 2 7.194 -3.498 0 0 7.232 -3.460 7.610 -3.113 1947 3 12.472 -2.273 0 0 12.419 -2.326 11.536 -3.241 1947 4 20.000 0.758 0 0 19.875 0.632 19.487 0.213 1947 5 21.778 -1.331 0 0 21.649 -1.460 22.417 -0.723 1947 6 26.667 -0.145 0 0 26.546 -0.265 27.389 0.547 1947 7 27.278 -1.475 0 0 27.116 -1.637 28.168 -0.616 1947 8 29.444 0.856 0 0 29.216 0.628 29.006 0.386 1947 9 26.833 1.326 0 0 26.579 1.072 26.356 0.818 1947 10 24.000 4.069 0 0 23.780 3.850 23.705 3.743 1947 11 12.889 -1.122 0 0 12.751 -1.259 12.563 -1.479 1947 12 10.667 0.548 0 0 10.637 0.519 10.902 0.752 1948 1 4.778 -3.709 0 0 4.829 -3.658 5.177 -3.340 1948 2 10.556 -0.136 0 0 10.594 -0.098 9.919 -0.804 1948 3 14.389 -0.357 0 0 14.336 -0.409 14.159 -0.618 1948 4 21.778 2.535 0 0 21.653 2.410 21.490 2.216 1948 5 23.611 0.502 0 0 23.482 0.374 23.653 0.513 1948 6 28.111 1.300 0 0 27.991 1.180 28.358 1.515 1948 7 29.722 0.969 0 0 29.560 0.807 29.291 0.507 1948 8 30.556 1.967 0 0 30.327 1.739 29.921 1.302 1948 9 25.944 0.437 0 0 25.690 0.183 25.503 -0.035 1948 10 20.778 0.847 0 0 20.558 0.627 20.044 0.082 1948 11 14.056 0.045 0 0 13.918 -0.093 14.021 -0.021 1948 12 12.000 1.881 0 0 11.971 1.852 12.535 2.385 1949 1 7.500 -0.986 0 0 7.551 -0.935 7.108 -1.410 1949 2 12.944 2.252 0 0 12.982 2.290 11.817 1.094 1949 3 14.944 0.199 0 0 14.892 0.146 14.720 -0.056 1949 4 17.833 -1.409 0 0 17.708 -1.534 17.523 -1.751 1949 5 25.556 2.447 0 0 25.427 2.318 24.661 1.521 1949 6 27.278 0.466 0 0 27.158 0.346 27.434 0.591 1949 7 28.556 -0.197 0 0 28.393 -0.360 28.762 -0.022 1949 8 27.667 -0.922 0 0 27.439 -1.150 27.550 -1.069 1949 9 25.444 -0.063 0 0 25.190 -0.317 25.615 0.077 1949 10 20.500 0.569 0 0 20.280 0.350 20.205 0.243 1949 11 15.222 1.212 0 0 15.085 1.074 15.498 1.457 1949 12 11.667 1.548 0 0 11.637 1.519 11.935 1.785 1950 1 13.167 4.680 0 0 13.217 4.731 12.423 3.906 1950 2 10.611 -0.081 0 0 10.649 -0.043 12.826 2.103 1950 3 12.833 -1.912 0 0 12.781 -1.965 13.860 -0.917 1950 4 17.889 -1.354 0 0 17.764 -1.479 18.033 -1.241 1950 5 24.056 0.947 0 0 23.927 0.818 23.777 0.637 1950 6 26.500 -0.311 0 0 26.380 -0.432 26.494 -0.349 1950 7 27.833 -0.920 0 0 27.671 -1.082 27.764 -1.020 1950 8 28.167 -0.422 0 0 27.939 -0.650 28.314 -0.306 1950 9 24.556 -0.952 0 0 24.301 -1.206 24.936 -0.602 1950 10 20.889 0.958 0 0 20.669 0.738 21.935 1.973 1950 11 NaN NaN NaN NaN NaN NaN 14.052 0.010 1950 12 9.444 -0.674 0 0 9.415 -0.704 10.515 0.365 1951 1 8.000 -0.486 0 0 8.051 -0.435 9.233 0.716 1951 2 9.500 -1.192 0 0 9.538 -1.154 10.765 0.042 1951 3 14.389 -0.357 0 0 14.336 -0.409 15.664 0.887 1951 4 18.389 -0.854 0 0 18.264 -0.979 18.659 -0.615 1951 5 22.611 -0.498 0 0 22.482 -0.626 22.917 -0.223 1951 6 26.500 -0.311 0 0 26.380 -0.432 27.534 0.692 1951 7 28.556 -0.197 0 0 28.393 -0.360 30.047 1.263 1951 8 31.778 3.189 0 0 31.550 2.961 31.431 2.811 1951 9 NaN NaN NaN NaN NaN NaN 26.352 0.814 1951 10 21.384 1.453 1 0 NaN NaN 21.274 1.312 1951 11 13.000 -1.011 0 0 12.862 -1.148 12.581 -1.460 1951 12 12.778 2.659 0 0 12.748 2.630 12.040 1.890 1952 1 14.000 5.514 0 0 14.051 5.565 13.923 5.406 1952 2 12.889 2.197 0 0 12.927 2.235 12.982 2.259 1952 3 13.833 -0.912 0 0 13.781 -0.965 13.834 -0.942 1952 4 17.778 -1.465 0 0 17.653 -1.590 17.329 -1.945 1952 5 22.389 -0.720 0 0 22.260 -0.849 22.201 -0.939 1952 6 28.167 1.355 0 0 28.046 1.235 27.847 1.005 1952 7 28.833 0.080 0 0 28.671 -0.082 28.502 -0.282 1952 8 30.889 2.300 0 0 30.661 2.072 30.474 1.854 1952 9 24.889 -0.618 0 0 24.635 -0.872 25.837 0.299 1952 10 16.556 -3.375 0 0 16.336 -3.595 17.633 -2.329 1952 11 13.444 -0.566 0 0 13.307 -0.704 13.620 -0.422 1952 12 NaN NaN NaN NaN NaN NaN 9.583 -0.566 1953 1 NaN NaN NaN NaN NaN NaN 11.482 2.965 1953 2 9.312 -1.380 1 0 NaN NaN 10.571 -0.152 1953 3 17.833 3.088 0 0 17.781 3.035 17.690 2.913 1953 4 18.056 -1.187 0 0 17.930 -1.312 18.205 -1.068 1953 5 22.889 -0.220 0 0 22.760 -0.349 23.226 0.086 1953 6 29.000 2.189 0 0 28.880 2.068 29.316 2.474 1953 7 28.111 -0.642 0 0 27.949 -0.804 28.652 -0.132 1953 8 29.111 0.523 0 0 28.883 0.294 28.550 -0.070 1953 9 25.944 0.437 0 0 25.690 0.183 25.677 0.139 1953 10 21.722 1.792 0 0 21.502 1.572 21.182 1.220 1953 11 13.000 -1.011 0 0 12.862 -1.148 13.027 -1.015 1953 12 8.389 -1.730 0 0 8.360 -1.759 8.667 -1.482 1954 1 9.444 0.958 0 0 9.495 1.009 9.737 1.219 1954 2 13.667 2.975 0 0 13.705 3.013 13.947 3.224 1954 3 13.444 -1.301 0 0 13.392 -1.354 14.000 -0.777 1954 4 21.333 2.091 0 0 21.208 1.966 21.525 2.251 1954 5 21.167 -1.942 0 0 21.038 -2.071 21.263 -1.877 1954 6 28.507 1.695 1 0 NaN NaN 28.027 1.185 1954 7 30.889 2.136 0 0 30.727 1.974 30.863 2.079 1954 8 30.111 1.523 0 0 29.883 1.294 30.250 1.630 1954 9 27.833 2.326 0 0 27.579 2.072 27.686 2.148 1954 10 21.222 1.292 0 0 21.002 1.072 21.779 1.818 1954 11 13.389 -0.622 0 0 13.251 -0.759 13.599 -0.442 1954 12 NaN NaN NaN NaN NaN NaN 11.738 1.588 1955 1 NaN NaN NaN NaN NaN NaN 9.001 0.484 1955 2 NaN NaN NaN NaN NaN NaN 10.345 -0.378 1955 3 NaN NaN NaN NaN NaN NaN 15.925 1.149 1955 4 NaN NaN NaN NaN NaN NaN 21.135 1.862 1955 5 NaN NaN NaN NaN NaN NaN 24.432 1.292 1955 6 NaN NaN NaN NaN NaN NaN 25.765 -1.077 1955 7 NaN NaN NaN NaN NaN NaN 28.722 -0.062 1955 8 NaN NaN NaN NaN NaN NaN 28.070 -0.550 1955 9 NaN NaN NaN NaN NaN NaN 26.964 1.426 1955 10 NaN NaN NaN NaN NaN NaN 20.407 0.445 1955 11 NaN NaN NaN NaN NaN NaN 14.225 0.183