% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27700 % Primary Name: MONTEZUMA % Record Type: TAVG % Country: United States % State: GA % Latitude: 32.29030 +/- 0.00005 % Longitude: -84.03140 +/- 0.00005 % Elevation (m): 99.70 +/- 0.05 % # of Months: 184 % % Alternate Names: MONTEZUMA 1 NE % % IDs: coop - 95979 % ghcnd - USC00095979 % ncdc - 20004804 % nws - MTZG1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: dc588122b971d431bec35e84b66672f0 % Raw Data Hash: fb779b38cb0f498c4ff5caf834b09531 % Adj Data Hash: adb4cddabd72ba3f83e6da1f5dab415d % % 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 1938 12 NaN NaN NaN NaN NaN NaN 8.078 -0.434 1939 1 NaN NaN NaN NaN NaN NaN 9.318 1.836 1939 2 NaN NaN NaN NaN NaN NaN 11.647 2.607 1939 3 NaN NaN NaN NaN NaN NaN 14.902 1.820 1939 4 NaN NaN NaN NaN NaN NaN 17.243 -0.535 1939 5 NaN NaN NaN NaN NaN NaN 21.228 -0.763 1939 6 NaN NaN NaN NaN NaN NaN 26.736 1.337 1939 7 NaN NaN NaN NaN NaN NaN 27.160 0.255 1939 8 NaN NaN NaN NaN NaN NaN 25.906 -0.738 1939 9 NaN NaN NaN NaN NaN NaN 25.356 1.517 1939 10 NaN NaN NaN NaN NaN NaN 18.897 1.185 1939 11 NaN NaN NaN NaN NaN NaN 11.381 -1.124 1939 12 10.278 0.731 0 0 10.300 0.753 8.896 0.385 1940 1 2.389 -6.128 0 0 2.367 -6.150 1.164 -6.318 1940 2 8.889 -1.187 0 0 8.867 -1.209 7.272 -1.769 1940 3 13.333 -0.783 0 0 13.312 -0.805 11.942 -1.139 1940 4 16.889 -1.924 0 0 16.836 -1.977 16.616 -1.162 1940 5 21.556 -1.471 0 0 21.502 -1.524 20.821 -1.170 1940 6 26.889 0.455 0 0 26.892 0.458 25.635 0.236 1940 7 26.333 -1.607 0 0 26.361 -1.579 25.829 -1.076 1940 8 28.000 0.321 0 0 27.978 0.299 26.461 -0.183 1940 9 23.444 -1.430 0 0 23.391 -1.484 23.051 -0.788 1940 10 NaN NaN NaN NaN NaN NaN 17.944 0.232 1940 11 13.444 -0.095 0 0 13.492 -0.047 12.656 0.152 1940 12 12.056 2.509 0 0 12.078 2.531 10.272 1.760 1941 1 10.000 1.483 0 0 9.978 1.461 8.088 0.606 1941 2 7.278 -2.798 0 0 7.256 -2.820 5.628 -3.413 1941 3 11.222 -2.895 0 0 11.201 -2.916 9.932 -3.149 1941 4 19.778 0.965 0 0 19.725 0.912 18.826 1.048 1941 5 24.222 1.196 0 0 24.169 1.143 22.756 0.765 1941 6 26.667 0.233 0 0 26.670 0.236 25.960 0.561 1941 7 27.444 -0.496 0 0 27.472 -0.468 26.951 0.046 1941 8 28.389 0.710 0 0 28.367 0.688 27.557 0.913 1941 9 26.556 1.681 0 0 26.502 1.628 25.605 1.766 1941 10 23.556 4.809 0 0 23.553 4.806 21.433 3.721 1941 11 14.333 0.794 0 0 14.381 0.841 12.894 0.390 1941 12 11.000 1.453 0 0 11.022 1.475 9.772 1.261 1942 1 9.889 1.372 0 0 9.867 1.350 7.097 -0.385 1942 2 8.278 -1.798 0 0 8.256 -1.820 5.753 -3.287 1942 3 13.833 -0.283 0 0 13.812 -0.305 12.578 -0.504 1942 4 19.222 0.409 0 0 19.169 0.356 18.122 0.344 1942 5 23.389 0.363 0 0 23.335 0.309 21.835 -0.156 1942 6 26.444 0.010 0 0 26.447 0.013 25.908 0.509 1942 7 27.667 -0.273 0 0 27.695 -0.245 27.531 0.626 1942 8 27.333 -0.346 0 0 27.311 -0.368 26.211 -0.433 1942 9 24.778 -0.096 0 0 24.724 -0.150 24.078 0.239 1942 10 19.778 1.031 0 0 19.775 1.028 17.870 0.158 1942 11 15.333 1.794 0 0 15.381 1.841 13.933 1.428 1942 12 10.944 1.398 0 0 10.967 1.420 8.656 0.144 1943 1 11.111 2.594 0 0 11.089 2.572 9.074 1.592 1943 2 11.111 1.035 0 0 11.089 1.013 9.242 0.201 1943 3 13.889 -0.228 0 0 13.867 -0.250 12.109 -0.972 1943 4 19.000 0.187 0 0 18.947 0.134 17.389 -0.389 1943 5 NaN NaN NaN NaN NaN NaN 22.698 0.707 1943 6 27.778 1.344 0 0 27.781 1.347 27.322 1.923 1943 7 27.444 -0.496 0 0 27.472 -0.468 27.060 0.155 1943 8 27.722 0.043 0 0 27.700 0.021 27.504 0.860 1943 9 23.833 -1.041 0 0 23.780 -1.095 22.893 -0.946 1943 10 18.111 -0.636 0 0 18.108 -0.639 16.441 -1.271 1943 11 11.722 -1.817 0 0 11.770 -1.770 11.520 -0.984 1943 12 9.111 -0.436 0 0 9.133 -0.413 8.096 -0.416 1944 1 NaN NaN NaN NaN NaN NaN 7.628 0.146 1944 2 13.222 3.146 0 0 13.200 3.124 11.557 2.516 1944 3 15.444 1.328 0 0 15.423 1.306 13.619 0.537 1944 4 17.778 -1.035 0 0 17.725 -1.088 16.999 -0.779 1944 5 23.611 0.585 0 0 23.558 0.531 22.808 0.817 1944 6 28.167 1.733 0 0 28.170 1.736 27.326 1.927 1944 7 26.778 -1.162 0 0 26.806 -1.134 26.054 -0.851 1944 8 26.278 -1.401 0 0 26.256 -1.424 25.984 -0.661 1944 9 24.889 0.015 0 0 24.835 -0.039 24.879 1.040 1944 10 NaN NaN NaN NaN NaN NaN 17.422 -0.290 1944 11 12.333 -1.206 0 0 12.381 -1.159 11.905 -0.599 1944 12 8.333 -1.213 0 0 8.356 -1.191 6.630 -1.881 1945 1 9.333 0.816 0 0 9.311 0.794 7.409 -0.073 1945 2 12.556 2.480 0 0 12.533 2.457 10.622 1.581 1945 3 19.056 4.939 0 0 19.034 4.917 18.006 4.925 1945 4 20.222 1.409 0 0 20.169 1.356 19.440 1.662 1945 5 21.333 -1.693 0 0 21.280 -1.746 20.545 -1.446 1945 6 26.500 0.066 0 0 26.503 0.069 26.482 1.083 1945 7 26.889 -1.051 0 0 26.917 -1.023 26.480 -0.425 1945 8 26.944 -0.735 0 0 26.922 -0.757 26.241 -0.403 1945 9 25.778 0.904 0 0 25.724 0.850 25.626 1.786 1945 10 18.389 -0.358 0 0 18.386 -0.361 16.894 -0.817 1945 11 NaN NaN NaN NaN NaN NaN 13.497 0.993 1945 12 6.056 -3.491 0 0 6.078 -3.469 5.238 -3.273 1946 1 10.278 1.761 0 0 10.256 1.739 8.730 1.248 1946 2 11.889 1.813 0 0 11.867 1.791 10.003 0.963 1946 3 16.889 2.772 0 0 16.867 2.750 16.121 3.040 1946 4 19.556 0.742 0 0 19.502 0.689 18.825 1.047 1946 5 22.500 -0.526 0 0 22.446 -0.580 21.554 -0.437 1946 6 26.000 -0.434 0 0 26.003 -0.431 25.175 -0.224 1946 7 26.667 -1.273 0 0 26.695 -1.245 26.194 -0.711 1946 8 26.722 -0.957 0 0 26.700 -0.979 25.955 -0.689 1946 9 23.389 -1.485 0 0 23.335 -1.539 23.050 -0.789 1946 10 17.889 -0.858 0 0 17.886 -0.861 17.247 -0.465 1946 11 16.500 2.960 0 0 16.548 3.008 15.998 3.494 1946 12 11.111 1.564 0 0 11.133 1.587 10.489 1.977 1947 1 11.944 3.427 0 0 11.922 3.405 10.023 2.541 1947 2 7.667 -2.409 0 0 7.645 -2.431 5.653 -3.388 1947 3 11.111 -3.006 0 0 11.090 -3.027 9.399 -3.682 1947 4 20.167 1.354 0 0 20.114 1.300 19.562 1.784 1947 5 22.222 -0.804 0 0 22.169 -0.857 21.688 -0.303 1947 6 25.778 -0.656 0 0 25.781 -0.653 25.120 -0.279 1947 7 25.167 -2.773 0 0 25.195 -2.745 25.320 -1.585 1947 8 26.556 -1.124 0 0 26.533 -1.146 26.416 -0.228 1947 9 24.778 -0.096 0 0 24.724 -0.150 24.755 0.916 1947 10 21.500 2.753 0 0 21.497 2.750 19.662 1.950 1947 11 NaN NaN NaN NaN NaN NaN 11.148 -1.357 1947 12 10.333 0.787 0 0 10.356 0.809 8.415 -0.096 1948 1 6.278 -2.239 0 0 6.256 -2.261 4.829 -2.653 1948 2 12.222 2.146 0 0 12.200 2.124 9.687 0.646 1948 3 16.167 2.050 0 0 16.145 2.028 15.034 1.952 1948 4 20.889 2.076 0 0 20.836 2.023 19.750 1.972 1948 5 23.667 0.641 0 0 23.613 0.587 22.484 0.493 1948 6 27.111 0.677 0 0 27.114 0.680 26.374 0.975 1948 7 27.333 -0.607 0 0 27.361 -0.579 27.009 0.104 1948 8 26.778 -0.901 0 0 26.756 -0.924 25.948 -0.696 1948 9 23.889 -0.985 0 0 23.835 -1.039 23.187 -0.652 1948 10 16.667 -2.080 0 0 16.664 -2.083 15.678 -2.034 1948 11 15.444 1.905 0 0 15.492 1.953 14.880 2.376 1948 12 11.333 1.787 0 0 11.356 1.809 10.376 1.864 1949 1 13.500 4.983 0 0 13.478 4.961 12.379 4.897 1949 2 13.667 3.591 0 0 13.645 3.569 12.194 3.153 1949 3 13.778 -0.339 0 0 13.756 -0.361 12.880 -0.202 1949 4 17.778 -1.035 0 0 17.725 -1.088 16.774 -1.004 1949 5 23.167 0.141 0 0 23.113 0.087 22.243 0.252 1949 6 25.556 -0.878 0 0 25.559 -0.875 25.069 -0.330 1949 7 27.444 -0.496 0 0 27.472 -0.468 27.142 0.237 1949 8 26.611 -1.068 0 0 26.589 -1.090 26.120 -0.524 1949 9 24.278 -0.596 0 0 24.224 -0.650 23.222 -0.617 1949 10 21.833 3.087 0 0 21.830 3.084 20.177 2.466 1949 11 11.889 -1.651 0 0 11.937 -1.603 11.573 -0.931 1949 12 11.222 1.676 0 0 11.244 1.698 9.408 0.897 1950 1 16.722 8.205 0 0 16.700 8.183 14.162 6.680 1950 2 13.167 3.091 0 0 13.145 3.069 11.177 2.136 1950 3 12.500 -1.617 0 0 12.478 -1.638 11.549 -1.532 1950 4 16.778 -2.035 0 0 16.725 -2.088 16.038 -1.740 1950 5 24.778 1.752 0 0 24.724 1.698 23.331 1.340 1950 6 26.833 0.399 0 0 26.836 0.402 26.374 0.975 1950 7 26.222 -1.718 0 0 26.250 -1.690 25.811 -1.094 1950 8 26.333 -1.346 0 0 26.311 -1.368 25.855 -0.789 1950 9 23.500 -1.374 0 0 23.446 -1.428 22.911 -0.928 1950 10 20.222 1.476 0 0 20.219 1.473 19.069 1.358 1950 11 10.444 -3.095 0 0 10.492 -3.047 10.435 -2.069 1950 12 6.944 -2.602 0 0 6.967 -2.580 5.800 -2.712 1951 1 10.167 1.650 0 0 10.145 1.627 8.487 1.005 1951 2 11.111 1.035 0 0 11.089 1.013 9.272 0.231 1951 3 14.611 0.494 0 1 14.664 0.547 13.354 0.272 1951 4 17.611 -1.202 0 0 17.740 -1.073 17.069 -0.709 1951 5 21.611 -1.415 0 0 21.741 -1.285 21.309 -0.682 1951 6 26.778 0.344 0 0 26.770 0.336 26.227 0.828 1951 7 27.389 -0.551 0 0 27.321 -0.619 26.928 0.023 1951 8 28.222 0.543 0 0 28.276 0.597 27.825 1.181 1951 9 24.889 0.015 0 0 25.020 0.146 24.881 1.042 1951 10 20.056 1.309 0 0 20.063 1.316 19.208 1.496 1951 11 10.167 -3.373 0 0 10.051 -3.489 10.693 -1.812 1951 12 12.556 3.009 0 0 12.502 2.955 10.320 1.808 1952 1 13.389 4.872 0 0 13.443 4.925 11.629 4.147 1952 2 11.167 1.091 0 0 11.221 1.145 10.083 1.042 1952 3 14.611 0.494 0 0 14.664 0.547 13.051 -0.030 1952 4 17.056 -1.758 0 0 17.185 -1.628 17.101 -0.677 1952 5 23.056 0.029 0 0 23.186 0.160 22.573 0.582 1952 6 28.278 1.844 0 0 28.270 1.836 28.303 2.904 1952 7 28.889 0.949 0 0 28.821 0.881 28.160 1.255 1952 8 27.167 -0.513 0 0 27.221 -0.459 26.798 0.154 1952 9 23.667 -1.208 0 0 23.798 -1.077 23.217 -0.622 1952 10 17.167 -1.580 0 0 17.174 -1.573 15.688 -2.023 1952 11 13.611 0.072 0 0 13.495 -0.045 12.761 0.256 1952 12 9.000 -0.547 0 0 8.946 -0.601 7.560 -0.952 1953 1 11.500 2.983 0 0 11.554 3.037 9.639 2.157 1953 2 11.056 0.980 0 0 11.109 1.034 9.605 0.564 1953 3 15.722 1.605 0 0 15.775 1.658 14.458 1.377 1953 4 17.556 -1.258 0 0 17.685 -1.128 16.753 -1.025 1953 5 25.222 2.196 0 0 25.352 2.326 24.062 2.071 1953 6 27.667 1.233 0 0 27.659 1.225 26.403 1.004 1953 7 27.222 -0.718 0 0 27.154 -0.786 26.642 -0.262 1953 8 27.556 -0.124 0 0 27.610 -0.070 26.734 0.090 1953 9 24.167 -0.708 0 0 24.298 -0.577 23.428 -0.411 1953 10 19.833 1.087 0 0 19.841 1.094 18.313 0.602 1953 11 12.778 -0.762 0 0 12.662 -0.878 12.080 -0.425 1953 12 9.833 0.287 0 0 9.779 0.233 8.349 -0.162 1954 1 10.556 2.038 0 0 10.609 2.092 9.140 1.658 1954 2 13.000 2.924 0 0 13.054 2.978 11.168 2.128 1954 3 14.889 0.772 0 0 14.941 0.825 13.361 0.280 1954 4 21.278 2.465 0 0 21.407 2.594 20.293 2.515 1954 5 20.333 -2.693 1 0 NaN NaN 19.390 -2.601 1954 6 28.333 1.899 0 0 28.326 1.892 26.692 1.294 1954 7 29.278 1.338 0 0 29.210 1.270 28.141 1.236 1954 8 29.333 1.654 0 0 29.387 1.708 28.507 1.863 1954 9 27.056 2.181 0 0 27.186 2.312 26.312 2.473 1954 10 19.944 1.198 0 0 19.952 1.205 18.509 0.797 1954 11 12.222 -1.317 0 0 12.106 -1.433 11.230 -1.274 1954 12 8.278 -1.269 0 0 8.224 -1.323 7.833 -0.679 1955 1 8.611 0.094 0 0 8.665 0.148 7.184 -0.298 1955 2 10.889 0.813 0 0 10.943 0.867 9.759 0.719 1955 3 15.500 1.383 0 0 15.553 1.436 15.267 2.186 1955 4 22.111 3.298 0 0 22.240 3.427 19.604 1.826 1955 5 23.500 0.474 0 0 23.630 0.604 23.217 1.226 1955 6 24.667 -1.767 0 0 24.659 -1.775 23.493 -1.906 1955 7 27.611 -0.329 0 0 27.543 -0.397 26.843 -0.062 1955 8 28.111 0.432 0 0 28.165 0.486 27.369 0.725 1955 9 -17.778 -42.652 1 0 NaN NaN 24.625 0.786 1955 10 NaN NaN NaN NaN NaN NaN 16.876 -0.836 1955 11 NaN NaN NaN NaN NaN NaN 11.964 -0.541 1955 12 NaN NaN NaN NaN NaN NaN 7.715 -0.796 1956 1 NaN NaN NaN NaN NaN NaN 6.477 -1.005 1956 2 NaN NaN NaN NaN NaN NaN 11.702 2.661 1956 3 NaN NaN NaN NaN NaN NaN 13.037 -0.044 1956 4 NaN NaN NaN NaN NaN NaN 17.115 -0.663 1956 5 NaN NaN NaN NaN NaN NaN 23.062 1.071 1956 6 NaN NaN NaN NaN NaN NaN 25.422 0.023 1956 7 NaN NaN NaN NaN NaN NaN 26.730 -0.175 1956 8 NaN NaN NaN NaN NaN NaN 27.439 0.795 1956 9 NaN NaN NaN NaN NaN NaN 22.814 -1.025