% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28491 % Primary Name: SANGER % Record Type: TAVG % Country: United States % State: TX % Latitude: 33.36330 +/- 0.00005 % Longitude: -97.17440 +/- 0.00005 % Elevation (m): 205.70 +/- 0.05 % # of Months: 102 % % IDs: coop - 418043 % ghcnd - USC00418043 % ncdc - 20025617 % nws - SGZT2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: ca3a92a2d1024ce0b6b2e224a3cf7ea6 % Raw Data Hash: fa3074431f084caadbf9cbf7388f52f6 % Adj Data Hash: 1d3112d217babb46da71fe475b9a872a % % 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 1989 12 NaN NaN NaN NaN NaN NaN 3.710 -4.536 1990 1 NaN NaN NaN NaN NaN NaN 9.984 3.718 1990 2 NaN NaN NaN NaN NaN NaN 11.368 2.528 1990 3 NaN NaN NaN NaN NaN NaN 13.539 0.451 1990 4 NaN NaN NaN NaN NaN NaN 17.472 -0.748 1990 5 NaN NaN NaN NaN NaN NaN 22.200 -0.303 1990 6 NaN NaN NaN NaN NaN NaN 28.691 1.750 1990 7 NaN NaN NaN NaN NaN NaN 28.178 -1.176 1990 8 NaN NaN NaN NaN NaN NaN 29.144 0.127 1990 9 NaN NaN NaN NaN NaN NaN 26.615 1.374 1990 10 NaN NaN NaN NaN NaN NaN 18.864 -0.358 1990 11 NaN NaN NaN NaN NaN NaN 15.418 2.779 1990 12 5.778 -1.828 0 0 5.797 -1.810 6.705 -1.542 1991 1 5.000 -0.626 0 0 5.022 -0.603 4.867 -1.399 1991 2 10.611 2.412 0 0 10.631 2.432 11.087 2.248 1991 3 14.667 2.219 0 0 14.686 2.238 14.496 1.408 1991 4 18.667 1.087 0 0 18.684 1.104 19.501 1.281 1991 5 23.111 1.248 0 0 23.116 1.253 23.443 0.939 1991 6 26.833 0.533 0 0 26.819 0.519 27.216 0.276 1991 7 29.111 0.397 0 0 29.088 0.374 29.205 -0.149 1991 8 27.500 -0.877 0 0 27.484 -0.893 27.877 -1.140 1991 9 23.167 -1.435 0 0 23.160 -1.441 23.745 -1.497 1991 10 19.111 0.529 0 0 19.112 0.530 20.074 0.852 1991 11 9.667 -2.332 0 0 9.676 -2.323 10.467 -2.172 1991 12 8.778 1.172 0 0 8.797 1.190 9.855 1.609 1992 1 NaN NaN NaN NaN NaN NaN 7.027 0.761 1992 2 10.944 2.745 0 0 10.964 2.765 11.446 2.607 1992 3 14.056 1.608 0 0 14.075 1.627 14.350 1.262 1992 4 17.500 -0.080 0 0 17.517 -0.063 18.186 -0.034 1992 5 20.333 -1.530 0 0 20.338 -1.525 21.072 -1.431 1992 6 25.222 -1.078 0 0 25.208 -1.092 25.964 -0.977 1992 7 28.333 -0.380 0 0 28.310 -0.403 28.607 -0.747 1992 8 26.111 -2.266 0 0 26.095 -2.282 26.259 -2.758 1992 9 24.278 -0.324 0 0 24.272 -0.330 24.882 -0.360 1992 10 19.222 0.641 0 0 19.223 0.641 20.159 0.937 1992 11 10.778 -1.221 0 0 10.787 -1.212 11.203 -1.436 1992 12 7.889 0.283 0 0 7.908 0.301 9.078 0.831 1993 1 5.000 -0.626 0 0 5.022 -0.603 5.923 -0.343 1993 2 7.167 -1.032 0 0 7.187 -1.012 8.263 -0.576 1993 3 11.333 -1.114 0 0 11.352 -1.095 12.046 -1.042 1993 4 15.556 -2.024 0 0 15.573 -2.007 16.352 -1.869 1993 5 20.889 -0.974 0 0 20.894 -0.969 21.361 -1.143 1993 6 26.611 0.311 0 0 26.597 0.297 27.223 0.282 1993 7 30.167 1.453 0 0 30.144 1.430 30.205 0.851 1993 8 30.000 1.623 0 0 29.984 1.607 30.526 1.509 1993 9 23.833 -0.768 0 0 23.827 -0.774 24.941 -0.300 1993 10 16.556 -2.026 0 0 16.556 -2.025 17.537 -1.685 1993 11 8.944 -3.054 0 0 8.954 -3.045 9.988 -2.651 1993 12 8.278 0.672 0 0 8.297 0.690 9.323 1.077 1994 1 5.722 0.096 0 0 5.745 0.119 6.284 0.018 1994 2 6.444 -1.755 0 0 6.464 -1.735 7.885 -0.954 1994 3 13.333 0.886 0 0 13.352 0.905 13.940 0.852 1994 4 17.833 0.253 0 0 17.851 0.271 18.415 0.194 1994 5 20.500 -1.363 0 0 20.505 -1.358 21.123 -1.381 1994 6 28.278 1.978 0 0 28.264 1.963 28.381 1.441 1994 7 27.611 -1.103 0 0 27.588 -1.126 28.423 -0.931 1994 8 27.833 -0.543 0 0 27.817 -0.560 28.452 -0.565 1994 9 23.444 -1.157 0 0 23.438 -1.163 24.224 -1.018 1994 10 18.833 0.252 0 0 18.834 0.252 19.485 0.263 1994 11 13.278 1.279 0 0 13.287 1.288 14.041 1.403 1994 12 7.000 -0.606 0 0 7.019 -0.587 9.301 1.054 1995 1 6.889 1.263 0 0 6.911 1.285 7.666 1.400 1995 2 9.722 1.523 0 0 9.742 1.543 10.438 1.599 1995 3 12.222 -0.226 0 0 12.241 -0.206 12.643 -0.445 1995 4 16.778 -0.802 0 0 16.795 -0.785 17.391 -0.829 1995 5 21.111 -0.752 0 0 21.116 -0.747 22.015 -0.489 1995 6 25.278 -1.022 0 0 25.264 -1.037 26.103 -0.837 1995 7 29.444 0.731 0 0 29.422 0.708 29.409 0.055 1995 8 29.389 1.012 0 0 29.372 0.996 29.704 0.688 1995 9 23.500 -1.102 0 0 23.494 -1.108 24.677 -0.565 1995 10 18.722 0.141 0 0 18.723 0.141 19.703 0.481 1995 11 12.000 0.001 0 0 12.009 0.011 12.714 0.075 1995 12 7.500 -0.106 0 0 7.519 -0.087 8.792 0.546 1996 1 4.389 -1.237 0 0 4.411 -1.215 5.598 -0.668 1996 2 9.667 1.468 0 0 9.687 1.488 10.706 1.867 1996 3 10.111 -2.337 0 0 10.130 -2.318 10.942 -2.146 1996 4 16.889 -0.691 0 0 16.906 -0.674 17.564 -0.656 1996 5 25.611 3.748 0 0 25.616 3.753 25.804 3.300 1996 6 27.556 1.255 0 0 27.541 1.241 27.992 1.051 1996 7 30.056 1.342 0 0 30.033 1.319 30.176 0.822 1996 8 27.444 -0.932 0 0 27.428 -0.949 27.765 -1.252 1996 9 23.056 -1.546 0 0 23.049 -1.552 23.579 -1.663 1996 10 18.556 -0.026 0 0 18.556 -0.025 19.231 0.009 1996 11 11.278 -0.721 0 0 11.287 -0.712 12.386 -0.253 1996 12 8.222 0.616 0 0 8.241 0.635 9.733 1.486 1997 1 5.667 0.041 0 0 5.689 0.063 6.025 -0.241 1997 2 8.778 0.579 0 0 8.798 0.599 9.217 0.377 1997 3 13.111 0.663 0 0 13.130 0.682 14.029 0.941 1997 4 14.611 -2.969 0 0 14.628 -2.952 15.559 -2.661 1997 5 20.444 -1.419 0 0 20.449 -1.414 20.952 -1.552 1997 6 NaN NaN NaN NaN NaN NaN 26.185 -0.756 1997 7 29.333 0.620 0 0 29.310 0.597 29.532 0.178 1997 8 27.944 -0.432 0 0 27.928 -0.449 28.377 -0.640 1997 9 26.278 1.676 0 0 26.272 1.670 26.810 1.568 1997 10 19.111 0.529 0 0 19.112 0.530 19.564 0.342 1997 11 10.389 -1.610 0 0 10.398 -1.601 10.878 -1.760 1997 12 6.278 -1.328 0 0 6.297 -1.310 7.355 -0.892 1998 1 7.889 2.263 0 0 7.911 2.285 8.285 2.019 1998 2 9.833 1.634 0 0 9.853 1.654 9.989 1.150 1998 3 11.444 -1.003 0 0 11.463 -0.984 11.827 -1.261 1998 4 16.278 -1.302 0 0 16.295 -1.285 17.232 -0.988 1998 5 24.889 3.026 0 0 24.894 3.031 25.200 2.697 1998 6 29.056 2.755 0 0 29.041 2.741 29.647 2.706 1998 7 32.667 3.953 1 0 NaN NaN 32.811 3.458 1998 8 30.778 2.401 0 0 30.761 2.385 30.880 1.863 1998 9 28.556 3.954 0 0 28.549 3.948 28.450 3.208 1998 10 20.778 2.196 0 0 20.779 2.197 20.862 1.640 1998 11 13.500 1.501 0 0 13.509 1.511 14.309 1.670 1998 12 7.556 -0.051 0 0 7.574 -0.032 8.744 0.498 1999 1 7.333 1.707 0 1 7.033 1.407 8.658 2.392 1999 2 12.278 4.079 0 0 12.009 3.810 12.791 3.951 1999 3 11.889 -0.559 0 0 11.633 -0.815 12.417 -0.671 1999 4 18.667 1.087 0 0 18.436 0.856 19.436 1.216 1999 5 22.056 0.192 0 0 21.992 0.128 22.207 -0.297 1999 6 26.764 0.464 0 0 26.954 0.654 27.301 0.361 1999 7 29.556 0.842 0 0 29.863 1.149 29.388 0.034 1999 8 NaN NaN NaN NaN NaN NaN 31.588 2.571 1999 9 NaN NaN NaN NaN NaN NaN 25.454 0.213 1999 10 NaN NaN NaN NaN NaN NaN 19.885 0.663 1999 11 NaN NaN NaN NaN NaN NaN 16.242 3.603 1999 12 NaN NaN NaN NaN NaN NaN 9.839 1.593 2000 1 NaN NaN NaN NaN NaN NaN 8.661 2.395 2000 2 NaN NaN NaN NaN NaN NaN 12.797 3.958 2000 3 NaN NaN NaN NaN NaN NaN 14.820 1.732 2000 4 NaN NaN NaN NaN NaN NaN 17.444 -0.776 2000 5 NaN NaN NaN NaN NaN NaN 23.919 1.416 2000 6 NaN NaN NaN NaN NaN NaN 26.356 -0.584 2000 7 NaN NaN NaN NaN NaN NaN 29.831 0.477