% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30903 % Primary Name: GREEN MOUNTAIN % Record Type: TAVG % Country: United States % State: AR % Latitude: 36.03330 +/- 0.00005 % Longitude: -92.20000 +/- 0.00005 % Elevation (m): 335.90 +/- 0.05 % # of Months: 183 % % Alternate Names: GREEN MTN % % IDs: coop - 32952 % ghcnd - USC00032952 % ncdc - 20000716 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: feccbb64745f026da6e064604d862ad9 % Raw Data Hash: c5685c62c398ac3646773f82681f8fab % Adj Data Hash: 3c27a5f4c5a7cecb159d7b07bf9f468f % % 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 1936 7 NaN NaN NaN NaN NaN NaN 27.973 1.943 1936 8 NaN NaN NaN NaN NaN NaN 27.907 2.720 1936 9 NaN NaN NaN NaN NaN NaN 24.186 2.903 1936 10 NaN NaN NaN NaN NaN NaN 14.528 -0.397 1936 11 NaN NaN NaN NaN NaN NaN 7.078 -1.356 1936 12 NaN NaN NaN NaN NaN NaN 5.270 1.678 1937 1 NaN NaN NaN NaN NaN NaN 2.277 0.750 1937 2 NaN NaN NaN NaN NaN NaN 3.704 -0.334 1937 3 NaN NaN NaN NaN NaN NaN 6.487 -2.322 1937 4 NaN NaN NaN NaN NaN NaN 14.490 -0.405 1937 5 NaN NaN NaN NaN NaN NaN 19.730 0.424 1937 6 NaN NaN NaN NaN NaN NaN 24.323 0.697 1937 7 25.423 -1.098 1 0 NaN NaN 25.306 -0.724 1937 8 27.778 2.099 0 0 27.187 1.508 26.802 1.615 1937 9 21.444 -0.330 0 0 20.722 -1.052 20.806 -0.477 1937 10 15.444 0.028 0 0 14.614 -0.802 13.894 -1.031 1937 11 8.389 -0.536 0 0 7.614 -1.311 6.805 -1.628 1937 12 3.333 -0.750 0 0 2.709 -1.374 2.544 -1.048 1938 1 3.778 1.759 0 0 3.223 1.205 2.217 0.691 1938 2 8.833 4.304 0 0 8.266 3.737 7.901 3.863 1938 3 14.222 4.922 0 0 13.683 4.383 13.318 4.509 1938 4 15.556 0.169 0 0 15.083 -0.304 15.159 0.264 1938 5 19.500 -0.298 0 0 19.034 -0.764 19.185 -0.121 1938 6 22.889 -1.229 0 0 22.376 -1.741 22.594 -1.033 1938 7 26.722 0.200 1 0 NaN NaN 26.456 0.425 1938 8 30.852 5.173 0 0 30.261 4.582 27.090 1.903 1938 9 NaN NaN NaN NaN NaN NaN 22.521 1.238 1938 10 20.667 5.250 0 0 19.836 4.420 17.098 2.174 1938 11 10.333 1.408 0 0 9.559 0.634 8.584 0.150 1938 12 6.111 2.028 0 0 5.487 1.403 4.076 0.484 1939 1 7.111 5.093 0 0 6.557 4.538 4.921 3.394 1939 2 4.333 -0.196 0 0 3.766 -0.763 3.456 -0.581 1939 3 12.222 2.922 0 0 11.683 2.383 10.295 1.486 1939 4 14.222 -1.165 0 0 13.749 -1.637 13.477 -1.418 1939 5 19.778 -0.020 0 0 19.312 -0.486 19.153 -0.153 1939 6 24.000 -0.118 0 0 23.487 -0.630 24.207 0.581 1939 7 26.667 0.145 0 0 26.126 -0.396 26.451 0.420 1939 8 25.778 0.099 0 0 25.187 -0.492 24.761 -0.426 1939 9 26.944 5.170 0 0 26.222 4.448 24.926 3.643 1939 10 18.778 3.362 0 0 17.947 2.531 16.756 1.831 1939 11 8.278 -0.647 0 0 7.503 -1.422 7.241 -1.192 1939 12 8.556 4.472 0 0 7.931 3.848 5.385 1.793 1940 1 -2.285 -4.303 1 0 NaN NaN -5.702 -7.229 1940 2 4.755 0.225 1 0 NaN NaN 2.838 -1.200 1940 3 9.444 0.144 0 0 8.905 -0.395 7.973 -0.836 1940 4 14.444 -0.942 0 0 13.972 -1.415 13.797 -1.099 1940 5 18.667 -1.131 0 0 18.200 -1.597 17.416 -1.890 1940 6 23.611 -0.507 0 0 23.099 -1.019 23.381 -0.245 1940 7 25.556 -0.966 0 0 25.014 -1.507 24.788 -1.242 1940 8 24.889 -0.790 0 0 24.298 -1.381 24.361 -0.827 1940 9 21.667 -0.108 0 0 20.944 -0.830 20.425 -0.857 1940 10 19.655 4.239 0 0 18.824 3.408 16.972 2.047 1940 11 8.444 -0.481 0 0 7.670 -1.255 7.580 -0.854 1940 12 7.222 3.139 0 0 6.598 2.514 5.953 2.361 1941 1 5.056 3.037 0 0 4.501 2.483 3.727 2.200 1941 2 3.333 -1.196 0 0 2.766 -1.763 2.546 -1.492 1941 3 7.389 -1.911 0 0 6.849 -2.451 6.545 -2.264 1941 4 15.889 0.502 0 0 15.416 0.029 16.570 1.675 1941 5 21.611 1.814 0 0 21.145 1.347 20.343 1.037 1941 6 24.000 -0.118 0 0 23.487 -0.630 23.947 0.320 1941 7 26.556 0.034 0 0 26.014 -0.507 26.729 0.699 1941 8 26.111 0.432 0 0 25.520 -0.159 26.134 0.946 1941 9 23.111 1.337 0 0 22.389 0.614 22.829 1.546 1941 10 18.556 3.139 0 0 17.725 2.309 18.412 3.487 1941 11 9.778 0.853 0 0 9.003 0.078 8.269 -0.165 1941 12 7.278 3.194 0 0 6.654 2.570 5.317 1.725 1942 1 2.778 0.759 0 0 2.223 0.205 0.672 -0.855 1942 2 3.889 -0.640 0 0 3.322 -1.208 2.614 -1.424 1942 3 11.000 1.700 0 0 10.460 1.160 9.775 0.966 1942 4 16.333 0.947 0 0 15.860 0.474 15.823 0.927 1942 5 19.278 -0.520 0 0 18.812 -0.986 18.455 -0.851 1942 6 24.167 0.049 0 0 23.654 -0.464 23.995 0.368 1942 7 27.167 0.645 0 0 26.626 0.104 26.605 0.575 1942 8 24.444 -1.234 0 0 23.853 -1.825 24.195 -0.992 1942 9 20.556 -1.219 0 0 19.833 -1.941 20.462 -0.821 1942 10 16.444 1.028 0 0 15.614 0.198 15.480 0.555 1942 11 12.778 3.853 0 0 12.003 3.078 10.433 1.999 1942 12 4.222 0.139 0 0 3.598 -0.486 3.362 -0.230 1943 1 NaN NaN NaN NaN NaN NaN 2.729 1.202 1943 2 8.444 3.915 0 0 7.877 3.348 6.125 2.087 1943 3 7.778 -1.522 0 0 7.238 -2.062 5.639 -3.169 1943 4 18.000 2.613 0 0 17.527 2.140 15.488 0.593 1943 5 20.333 0.536 0 0 19.867 0.070 19.911 0.605 1943 6 26.111 1.993 0 0 25.599 1.481 25.229 1.602 1943 7 29.000 2.478 0 0 28.459 1.937 27.184 1.154 1943 8 30.333 4.654 0 0 29.742 4.063 27.308 2.121 1943 9 22.278 0.503 0 0 21.555 -0.219 20.002 -1.281 1943 10 16.444 1.028 0 0 15.614 0.198 14.578 -0.347 1943 11 8.944 0.019 0 0 8.170 -0.755 7.879 -0.555 1943 12 3.778 -0.306 0 0 3.154 -0.930 2.334 -1.258 1944 1 5.278 3.259 0 0 4.723 2.705 3.233 1.706 1944 2 7.556 3.026 0 0 6.988 2.459 6.380 2.342 1944 3 9.000 -0.300 0 0 8.460 -0.840 7.921 -0.888 1944 4 13.889 -1.498 0 0 13.416 -1.971 13.860 -1.036 1944 5 20.222 0.425 0 0 19.756 -0.041 20.081 0.775 1944 6 26.000 1.882 0 0 25.487 1.370 25.369 1.743 1944 7 27.333 0.812 0 0 26.792 0.270 25.932 -0.098 1944 8 25.556 -0.123 0 0 24.964 -0.714 25.439 0.252 1944 9 22.833 1.059 0 0 22.111 0.336 21.817 0.534 1944 10 18.000 2.584 0 0 17.170 1.753 15.782 0.857 1944 11 10.222 1.297 0 0 9.448 0.523 9.170 0.736 1944 12 1.500 -2.584 0 0 0.876 -3.208 0.750 -2.842 1945 1 2.556 0.537 0 0 2.001 -0.017 1.153 -0.374 1945 2 4.556 0.026 0 0 3.988 -0.541 3.910 -0.128 1945 3 13.667 4.367 0 0 13.127 3.827 12.656 3.847 1945 4 15.556 0.169 0 0 15.083 -0.304 15.526 0.630 1945 5 17.444 -2.353 0 0 16.978 -2.819 16.960 -2.346 1945 6 22.222 -1.896 0 0 21.710 -2.408 22.314 -1.313 1945 7 25.833 -0.688 0 0 25.292 -1.230 24.542 -1.488 1945 8 26.222 0.543 0 0 25.631 -0.048 24.923 -0.264 1945 9 22.111 0.337 0 0 21.389 -0.386 21.758 0.475 1945 10 16.556 1.139 0 0 15.725 0.309 14.607 -0.318 1945 11 11.000 2.075 0 0 10.226 1.300 9.828 1.394 1945 12 1.722 -2.361 0 0 1.098 -2.986 0.695 -2.897 1946 1 3.667 1.648 0 0 3.112 1.094 2.700 1.173 1946 2 8.667 4.137 0 0 8.100 3.570 6.536 2.498 1946 3 14.222 4.922 0 0 13.683 4.383 13.129 4.321 1946 4 17.333 1.947 0 0 16.861 1.474 16.721 1.826 1946 5 NaN NaN NaN NaN NaN NaN 17.395 -1.911 1946 6 23.333 -0.784 0 0 22.821 -1.297 23.310 -0.316 1946 7 26.667 0.145 0 0 26.126 -0.396 26.303 0.272 1946 8 24.833 -0.846 0 0 24.242 -1.437 24.102 -1.086 1946 9 21.944 0.170 0 0 21.222 -0.552 20.658 -0.625 1946 10 18.611 3.195 0 0 17.781 2.364 15.884 0.959 1946 11 10.444 1.519 0 0 9.670 0.745 10.293 1.859 1946 12 8.556 4.472 0 0 7.931 3.848 6.748 3.156 1947 1 3.611 1.593 0 4 4.345 2.327 3.412 1.885 1947 2 1.685 -2.844 1 0 NaN NaN 0.387 -3.651 1947 3 5.857 -3.443 1 0 NaN NaN 4.676 -4.133 1947 4 NaN NaN NaN NaN NaN NaN 15.223 0.328 1947 5 18.500 -1.298 0 0 19.091 -0.706 17.979 -1.327 1947 6 22.889 -1.229 0 0 23.555 -0.562 23.660 0.034 1947 7 NaN NaN NaN NaN NaN NaN 24.266 -1.764 1947 8 29.500 3.821 0 0 30.294 4.615 28.219 3.032 1947 9 NaN NaN NaN NaN NaN NaN 22.881 1.599 1947 10 NaN NaN NaN NaN NaN NaN 18.412 3.487 1947 11 7.222 -1.703 0 0 8.313 -0.612 6.869 -1.565 1947 12 3.722 -0.361 0 0 4.570 0.486 4.541 0.948 1948 1 -1.556 -3.574 0 0 -0.821 -2.840 -1.649 -3.176 1948 2 3.111 -1.418 0 0 3.866 -0.663 2.971 -1.067 1948 3 7.278 -2.022 0 0 7.988 -1.312 8.053 -0.756 1948 4 20.333 4.947 0 0 20.935 5.549 17.488 2.592 1948 5 20.778 0.980 0 0 21.369 1.572 18.268 -1.038 1948 6 26.000 1.882 0 0 26.667 2.549 23.702 0.076 1948 7 24.389 -2.133 0 0 25.102 -1.420 25.586 -0.444 1948 8 22.778 -2.901 0 0 23.572 -2.107 24.473 -0.715 1948 9 23.347 1.573 1 0 NaN NaN 21.203 -0.080 1948 10 NaN NaN NaN NaN NaN NaN 13.565 -1.360 1948 11 8.167 -0.758 0 0 9.258 0.333 8.931 0.497 1948 12 2.278 -1.806 0 0 3.125 -0.958 5.011 1.419 1949 1 2.722 0.704 0 0 3.457 1.438 3.322 1.795 1949 2 5.611 1.082 0 0 6.366 1.837 5.141 1.103 1949 3 6.944 -2.356 0 0 7.655 -1.645 8.187 -0.622 1949 4 13.500 -1.887 0 0 14.102 -1.285 14.342 -0.553 1949 5 20.556 0.758 0 0 21.147 1.349 20.345 1.039 1949 6 25.611 1.493 0 0 26.278 2.160 24.633 1.007 1949 7 26.333 -0.188 0 0 27.046 0.524 26.423 0.393 1949 8 23.056 -2.623 0 0 23.849 -1.829 24.119 -1.069 1949 9 18.667 -3.108 0 0 19.674 -2.101 18.610 -2.673 1949 10 NaN NaN NaN NaN NaN NaN 15.953 1.028 1949 11 NaN NaN NaN NaN NaN NaN 9.472 1.038 1949 12 3.222 -0.861 0 0 4.070 -0.014 5.431 1.839 1950 1 4.000 1.982 0 0 4.734 2.716 5.730 4.203 1950 2 1.944 -2.585 0 0 2.699 -1.830 4.918 0.881 1950 3 NaN NaN NaN NaN NaN NaN 7.175 -1.634 1950 4 9.833 -5.553 0 0 10.435 -4.951 12.766 -2.130 1950 5 18.056 -1.742 0 0 18.647 -1.151 19.155 -0.151 1950 6 23.500 -0.618 0 0 24.167 0.049 23.579 -0.048 1950 7 22.556 -3.966 0 0 23.268 -3.253 23.568 -2.462 1950 8 21.444 -4.234 0 0 22.238 -3.441 22.558 -2.629 1950 9 19.444 -2.330 0 0 20.451 -1.323 19.931 -1.352 1950 10 18.667 3.250 0 0 19.849 4.432 17.729 2.805 1950 11 7.444 -1.481 0 0 8.536 -0.390 6.347 -2.087 1950 12 2.222 -1.861 0 0 3.070 -1.014 1.098 -2.494 1951 1 3.222 1.204 0 0 3.957 1.938 2.339 0.812 1951 2 2.667 -1.863 0 0 3.422 -1.108 4.234 0.196 1951 3 5.500 -3.800 0 0 6.210 -3.090 8.079 -0.730 1951 4 10.611 -4.776 0 0 11.213 -4.174 12.737 -2.158 1951 5 20.556 0.758 0 0 21.147 1.349 18.801 -0.505 1951 6 24.056 -0.062 0 0 24.722 0.604 23.199 -0.427 1951 7 25.667 -0.855 0 0 26.380 -0.142 25.764 -0.267 1951 8 26.000 0.321 0 0 26.794 1.115 25.554 0.367 1951 9 20.667 -1.108 0 0 21.674 -0.101 19.988 -1.295 1951 10 NaN NaN NaN NaN NaN NaN 15.649 0.724 1951 11 NaN NaN NaN NaN NaN NaN 5.209 -3.225 1951 12 NaN NaN NaN NaN NaN NaN 4.173 0.580 1952 1 NaN NaN NaN NaN NaN NaN 5.538 4.011 1952 2 7.222 2.693 0 0 7.977 3.448 6.769 2.731 1952 3 8.722 -0.578 0 0 9.432 0.132 8.053 -0.755 1952 4 12.667 -2.720 0 0 13.269 -2.118 13.551 -1.345 1952 5 21.517 1.719 1 0 NaN NaN 18.802 -0.504 1952 6 26.056 1.938 0 0 26.722 2.604 27.138 3.512 1952 7 26.389 -0.133 0 0 27.102 0.580 27.046 1.016 1952 8 NaN NaN NaN NaN NaN NaN 25.614 0.426 1952 9 NaN NaN NaN NaN NaN NaN 20.243 -1.040 1952 10 NaN NaN NaN NaN NaN NaN 12.046 -2.879 1952 11 NaN NaN NaN NaN NaN NaN 8.235 -0.198 1952 12 NaN NaN NaN NaN NaN NaN 4.308 0.716 1953 1 2.889 0.871 0 0 3.623 1.605 4.664 3.137 1953 2 NaN NaN NaN NaN NaN NaN 5.848 1.810 1953 3 NaN NaN NaN NaN NaN NaN 10.907 2.099 1953 4 NaN NaN NaN NaN NaN NaN 12.985 -1.911 1953 5 NaN NaN NaN NaN NaN NaN 19.592 0.286 1953 6 NaN NaN NaN NaN NaN NaN 27.435 3.809 1953 7 NaN NaN NaN NaN NaN NaN 26.351 0.321 1953 8 NaN NaN NaN NaN NaN NaN 25.479 0.291 1953 9 NaN NaN NaN NaN NaN NaN 22.368 1.085 1953 10 NaN NaN NaN NaN NaN NaN 16.252 1.327 1953 11 NaN NaN NaN NaN NaN NaN 8.357 -0.076 1953 12 NaN NaN NaN NaN NaN NaN 3.112 -0.480 1954 1 NaN NaN NaN NaN NaN NaN 2.241 0.714 1954 2 NaN NaN NaN NaN NaN NaN 8.161 4.123 1954 3 7.167 -2.133 0 2 8.652 -0.648 8.159 -0.649 1954 4 16.111 0.724 0 0 17.489 2.102 18.268 3.373 1954 5 14.833 -4.964 0 0 16.200 -3.598 16.817 -2.489 1954 6 23.000 -1.118 0 0 24.442 0.324 25.424 1.798 1954 7 27.278 0.756 0 0 28.766 2.244 28.762 2.732 1954 8 NaN NaN NaN NaN NaN NaN 28.149 2.961 1954 9 22.722 0.948 0 0 24.505 2.730 23.793 2.510 1954 10 NaN NaN NaN NaN NaN NaN 15.795 0.870 1954 11 NaN NaN NaN NaN NaN NaN 8.686 0.252 1954 12 NaN NaN NaN NaN NaN NaN 4.006 0.414 1955 1 2.462 0.443 1 0 NaN NaN 2.613 1.087 1955 2 1.833 -2.696 0 0 3.364 -1.166 4.051 0.013 1955 3 8.000 -1.300 0 0 9.486 0.186 9.186 0.378 1955 4 16.444 1.058 0 0 17.822 2.435 17.709 2.814 1955 5 20.889 1.091 0 0 22.256 2.458 20.227 0.921 1955 6 22.000 -2.118 0 0 23.442 -0.676 21.364 -2.262 1955 7 26.667 0.145 0 0 28.155 1.633 26.869 0.839 1955 8 25.111 -0.568 0 0 26.680 1.001 25.404 0.216 1955 9 NaN NaN NaN NaN NaN NaN 23.040 1.757 1955 10 NaN NaN NaN NaN NaN NaN 15.091 0.167 1955 11 NaN NaN NaN NaN NaN NaN 7.548 -0.886 1955 12 NaN NaN NaN NaN NaN NaN 2.683 -0.910 1956 1 0.250 -1.768 1 0 NaN NaN 0.578 -0.949 1956 2 5.278 0.749 0 0 6.808 2.279 5.375 1.337 1956 3 NaN NaN NaN NaN NaN NaN 8.729 -0.080 1956 4 NaN NaN NaN NaN NaN NaN 14.186 -0.709 1956 5 NaN NaN NaN NaN NaN NaN 20.659 1.353 1956 6 NaN NaN NaN NaN NaN NaN 23.409 -0.217 1956 7 NaN NaN NaN NaN NaN NaN 26.111 0.081 1956 8 NaN NaN NaN NaN NaN NaN 26.299 1.111 1956 9 NaN NaN NaN NaN NaN NaN 21.195 -0.088 1956 10 NaN NaN NaN NaN NaN NaN 17.520 2.595 1956 11 NaN NaN NaN NaN NaN NaN 8.398 -0.036 1956 12 NaN NaN NaN NaN NaN NaN 6.794 3.202 1957 1 NaN NaN NaN NaN NaN NaN 0.495 -1.032 1957 2 NaN NaN NaN NaN NaN NaN 7.094 3.056