% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27594 % Primary Name: POYNOR 1 NE % Record Type: TAVG % Country: United States % State: TX % Latitude: 32.08330 +/- 0.00005 % Longitude: -95.58330 +/- 0.00005 % Elevation (m): 161.80 +/- 0.05 % # of Months: 101 % % Alternate Names: POYNOR % % IDs: coop - 417230 % ghcnd - USC00417230 % ncdc - 20025246 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: bd059b1f496fb41ec5c59f808fb2a78f % Raw Data Hash: 93bc7eece04f72a0da2e63d0f748c533 % Adj Data Hash: 745573d0b409d6b6a76b946a7ba1aa07 % % 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 1966 5 NaN NaN NaN NaN NaN NaN 22.547 -0.593 1966 6 NaN NaN NaN NaN NaN NaN 26.091 -0.752 1966 7 NaN NaN NaN NaN NaN NaN 29.236 0.452 1966 8 NaN NaN NaN NaN NaN NaN 27.363 -1.256 1966 9 NaN NaN NaN NaN NaN NaN 24.444 -1.094 1966 10 NaN NaN NaN NaN NaN NaN 18.746 -1.216 1966 11 NaN NaN NaN NaN NaN NaN 16.661 2.620 1966 12 NaN NaN NaN NaN NaN NaN 9.810 -0.340 1967 1 NaN NaN NaN NaN NaN NaN 9.352 0.834 1967 2 NaN NaN NaN NaN NaN NaN 9.414 -1.309 1967 3 NaN NaN NaN NaN NaN NaN 17.946 3.170 1967 4 NaN NaN NaN NaN NaN NaN 22.674 3.401 1967 5 22.024 -1.282 1 0 NaN NaN 22.206 -0.933 1967 6 27.333 0.325 0 0 27.429 0.421 27.574 0.731 1967 7 27.444 -1.505 0 0 27.520 -1.430 27.869 -0.915 1967 8 27.778 -1.007 0 0 27.986 -0.799 27.813 -0.807 1967 9 23.056 -2.648 0 0 23.418 -2.286 23.725 -1.813 1967 10 18.944 -1.183 0 0 19.365 -0.762 19.369 -0.593 1967 11 13.778 -0.429 0 0 14.254 0.046 14.517 0.476 1967 12 9.833 -0.482 0 0 10.485 0.170 10.038 -0.112 1968 1 7.833 -0.850 0 0 8.679 -0.004 7.842 -0.675 1968 2 7.556 -3.333 0 0 8.407 -2.481 7.854 -2.870 1968 3 13.056 -1.887 0 0 13.718 -1.224 13.188 -1.588 1968 4 19.056 -0.384 0 0 19.486 0.047 19.321 0.048 1968 5 22.888 -0.418 1 0 NaN NaN 22.688 -0.452 1968 6 26.056 -0.952 0 1 26.044 -0.964 26.016 -0.827 1968 7 27.000 -1.950 0 0 26.991 -1.959 26.963 -1.821 1968 8 28.167 -0.619 0 0 28.141 -0.645 28.236 -0.383 1968 9 23.667 -2.037 0 0 23.621 -2.082 23.937 -1.601 1968 10 20.167 0.039 0 0 20.114 -0.013 20.574 0.612 1968 11 12.778 -1.429 0 0 12.718 -1.489 12.913 -1.128 1968 12 9.611 -0.704 0 0 9.530 -0.786 10.014 -0.136 1969 1 10.500 1.817 0 0 10.394 1.711 10.151 1.633 1969 2 10.778 -0.111 0 0 10.671 -0.217 10.349 -0.374 1969 3 11.056 -3.887 0 0 10.973 -3.970 10.794 -3.983 1969 4 19.222 -0.217 0 0 19.168 -0.271 19.413 0.139 1969 5 22.889 -0.417 0 0 22.859 -0.446 22.388 -0.752 1969 6 27.000 -0.008 0 0 26.988 -0.020 26.922 0.079 1969 7 30.944 1.995 0 0 30.935 1.985 30.387 1.603 1969 8 29.389 0.604 0 0 29.363 0.578 29.429 0.810 1969 9 26.000 0.296 0 0 25.955 0.251 25.762 0.224 1969 10 20.556 0.428 0 0 20.503 0.376 20.084 0.122 1969 11 13.833 -0.374 0 0 13.774 -0.433 13.581 -0.461 1969 12 10.889 0.574 0 0 10.807 0.492 11.344 1.194 1970 1 6.722 -1.961 0 0 6.617 -2.066 5.816 -2.702 1970 2 10.944 0.056 0 0 10.838 -0.051 10.234 -0.489 1970 3 12.722 -2.220 0 0 12.639 -2.303 12.404 -2.372 1970 4 20.056 0.616 0 0 20.002 0.563 20.075 0.802 1970 5 22.667 -0.639 0 0 22.637 -0.668 22.050 -1.090 1970 6 26.389 -0.619 0 0 26.377 -0.631 26.348 -0.494 1970 7 28.556 -0.394 0 0 28.546 -0.403 28.403 -0.381 1970 8 29.722 0.937 0 0 29.696 0.911 29.438 0.818 1970 9 26.167 0.463 0 0 26.121 0.418 26.001 0.463 1970 10 18.556 -1.572 0 0 18.503 -1.624 18.341 -1.621 1970 11 13.278 -0.929 0 0 13.218 -0.989 12.788 -1.253 1970 12 13.722 3.407 0 0 13.641 3.325 14.197 4.047 1971 1 12.056 3.373 0 0 11.950 3.267 11.182 2.665 1971 2 11.278 0.389 0 0 11.171 0.283 11.150 0.427 1971 3 14.833 -0.109 0 0 14.750 -0.192 14.507 -0.270 1971 4 19.000 -0.439 0 0 18.946 -0.493 18.989 -0.284 1971 5 22.667 -0.639 0 0 22.637 -0.668 22.649 -0.491 1971 6 NaN NaN NaN NaN NaN NaN 27.955 1.113 1971 7 29.000 0.050 0 0 28.991 0.041 29.193 0.409 1971 8 26.833 -1.952 0 0 26.807 -1.978 26.730 -1.890 1971 9 26.000 0.296 0 0 25.955 0.251 25.736 0.198 1971 10 22.000 1.873 0 0 21.947 1.820 21.540 1.578 1971 11 14.611 0.404 0 0 14.552 0.344 14.673 0.631 1971 12 13.722 3.407 0 0 13.641 3.325 13.439 3.289 1972 1 10.222 1.539 0 0 10.117 1.434 9.586 1.068 1972 2 12.056 1.167 0 0 11.949 1.060 11.507 0.784 1972 3 17.389 2.447 0 0 17.306 2.364 17.147 2.370 1972 4 20.833 1.394 0 0 20.779 1.340 20.971 1.698 1972 5 22.889 -0.417 0 0 22.859 -0.446 22.678 -0.461 1972 6 27.000 -0.008 0 0 26.988 -0.020 27.316 0.474 1972 7 27.278 -1.672 0 0 27.268 -1.681 27.258 -1.526 1972 8 28.333 -0.452 0 0 28.307 -0.478 28.034 -0.585 1972 9 27.444 1.741 0 0 27.399 1.695 27.374 1.836 1972 10 20.278 0.150 0 0 20.225 0.098 20.077 0.115 1972 11 10.833 -3.374 0 0 10.774 -3.433 10.893 -3.148 1972 12 7.778 -2.538 0 0 7.696 -2.619 8.136 -2.014 1973 1 7.833 -0.850 0 0 7.728 -0.955 6.443 -2.074 1973 2 10.500 -0.389 0 0 10.394 -0.495 9.383 -1.340 1973 3 16.889 1.947 0 0 16.806 1.864 16.394 1.618 1973 4 17.278 -2.161 0 0 17.224 -2.215 16.854 -2.419 1973 5 22.722 -0.583 0 0 22.693 -0.613 22.070 -1.070 1973 6 25.889 -1.119 0 0 25.877 -1.131 25.800 -1.042 1973 7 28.111 -0.838 0 0 28.102 -0.848 28.215 -0.569 1973 8 27.556 -1.230 0 0 27.530 -1.256 27.158 -1.462 1973 9 25.556 -0.148 0 0 25.510 -0.194 25.647 0.109 1973 10 21.389 1.262 0 0 21.336 1.209 21.202 1.240 1973 11 17.778 3.571 0 0 17.718 3.511 17.722 3.680 1973 12 10.889 0.574 0 0 10.807 0.492 10.651 0.501 1974 1 9.111 0.428 0 0 9.005 0.323 8.292 -0.225 1974 2 13.000 2.111 0 0 12.894 2.005 11.801 1.078 1974 3 19.222 4.280 0 0 19.139 4.197 18.265 3.488 1974 4 19.778 0.339 0 0 19.724 0.285 19.650 0.376 1974 5 24.722 1.417 0 0 24.693 1.387 24.524 1.384 1974 6 25.611 -1.397 0 0 25.599 -1.409 26.143 -0.699 1974 7 29.222 0.273 0 0 29.213 0.263 28.844 0.060 1974 8 27.833 -0.952 0 0 27.807 -0.978 27.563 -1.056 1974 9 22.333 -3.370 0 0 22.288 -3.416 22.039 -3.499 1974 10 20.278 0.150 0 0 20.225 0.098 20.184 0.222 1974 11 13.833 -0.374 0 0 13.774 -0.433 13.543 -0.499 1974 12 9.833 -0.482 0 0 9.752 -0.564 9.813 -0.337 1975 1 11.722 3.039 0 0 11.617 2.934 10.951 2.434 1975 2 10.389 -0.500 0 0 10.282 -0.606 9.825 -0.899 1975 3 14.056 -0.887 0 0 13.973 -0.970 13.805 -0.971 1975 4 18.889 -0.550 0 0 18.835 -0.604 18.692 -0.581 1975 5 23.111 -0.194 0 0 23.082 -0.224 23.094 -0.046 1975 6 26.167 -0.841 0 0 26.155 -0.853 26.610 -0.232 1975 7 27.944 -1.005 0 0 27.935 -1.015 27.693 -1.091 1975 8 28.222 -0.563 0 0 28.196 -0.589 28.012 -0.608 1975 9 24.278 -1.426 0 0 24.232 -1.471 23.892 -1.646 1975 10 20.389 0.262 0 0 20.336 0.209 20.238 0.276 1975 11 NaN NaN NaN NaN NaN NaN 14.654 0.613 1975 12 NaN NaN NaN NaN NaN NaN 10.367 0.217 1976 1 NaN NaN NaN NaN NaN NaN 8.481 -0.036 1976 2 NaN NaN NaN NaN NaN NaN 14.684 3.961 1976 3 NaN NaN NaN NaN NaN NaN 15.825 1.049 1976 4 NaN NaN NaN NaN NaN NaN 19.338 0.064 1976 5 NaN NaN NaN NaN NaN NaN 20.777 -2.363 1976 6 NaN NaN NaN NaN NaN NaN 25.680 -1.163 1976 7 NaN NaN NaN NaN NaN NaN 26.842 -1.942 1976 8 NaN NaN NaN NaN NaN NaN 27.881 -0.738 1976 9 NaN NaN NaN NaN NaN NaN 24.656 -0.882 1976 10 NaN NaN NaN NaN NaN NaN 15.635 -4.327