% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36930 % Primary Name: CLEVELAND SHAKER HEIGHTS % Record Type: TAVG % Country: United States % State: OH % Latitude: 41.46670 +/- 0.00005 % Longitude: -81.56670 +/- 0.00005 % Elevation (m): 299.00 +/- 0.05 % # of Months: 127 % % Alternate Names: CLEVELAND SHAKER HEI % CLEVELAND SHAKER HTS % % IDs: coop - 331653 % ghcnd - USC00331653 % ncdc - 20015607 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 06c49fcef87f20b134111def6eec982d % Raw Data Hash: 03169164c44b72723b37e26858e8b1c0 % Adj Data Hash: 25b8b5f23ac0928ca2c6747b6795ff17 % % 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 1941 12 NaN NaN NaN NaN NaN NaN 2.039 2.918 1942 1 NaN NaN NaN NaN NaN NaN -3.346 0.258 1942 2 NaN NaN NaN NaN NaN NaN -4.749 -2.380 1942 3 NaN NaN NaN NaN NaN NaN 4.351 1.400 1942 4 NaN NaN NaN NaN NaN NaN 11.566 2.257 1942 5 NaN NaN NaN NaN NaN NaN 16.021 0.925 1942 6 NaN NaN NaN NaN NaN NaN 20.768 0.747 1942 7 NaN NaN NaN NaN NaN NaN 22.231 0.071 1942 8 NaN NaN NaN NaN NaN NaN 20.742 -0.689 1942 9 NaN NaN NaN NaN NaN NaN 17.594 -0.185 1942 10 NaN NaN NaN NaN NaN NaN 12.059 0.838 1942 11 NaN NaN NaN NaN NaN NaN 5.903 0.763 1942 12 -3.111 -2.572 0 0 -2.947 -2.407 -3.173 -2.293 1943 1 -3.465 -0.201 0 0 -3.324 -0.060 -3.236 0.368 1943 2 -1.722 0.306 0 0 -1.650 0.378 -1.917 0.452 1943 3 1.444 -1.847 0 0 1.490 -1.802 2.400 -0.551 1943 4 5.667 -3.983 0 0 5.706 -3.943 6.301 -3.008 1943 5 14.556 -0.881 0 0 14.535 -0.901 14.816 -0.280 1943 6 22.333 1.972 0 0 22.228 1.867 22.623 2.602 1943 7 22.667 0.166 0 0 22.550 0.049 22.416 0.256 1943 8 21.667 -0.104 0 0 21.607 -0.164 21.167 -0.264 1943 9 16.444 -1.675 0 0 16.435 -1.684 16.518 -1.261 1943 10 10.667 -0.894 0 0 10.699 -0.862 9.972 -1.248 1943 11 4.333 -1.148 0 0 4.438 -1.043 3.916 -1.225 1943 12 -1.389 -0.850 0 0 -1.224 -0.685 -2.398 -1.518 1944 1 -0.556 2.708 0 0 -0.415 2.849 -1.229 2.375 1944 2 -1.333 0.695 0 0 -1.261 0.767 -1.979 0.390 1944 3 1.000 -2.292 0 0 1.045 -2.246 1.723 -1.228 1944 4 7.222 -2.427 0 0 7.262 -2.387 7.897 -1.412 1944 5 17.889 2.453 0 0 17.868 2.432 18.432 3.336 1944 6 21.944 1.583 0 0 21.840 1.478 21.629 1.607 1944 7 23.056 0.555 0 0 22.939 0.438 22.290 0.130 1944 8 23.222 1.451 0 0 23.162 1.391 22.101 0.670 1944 9 17.944 -0.175 0 0 17.935 -0.184 17.581 -0.198 1944 10 11.111 -0.450 0 0 11.143 -0.418 10.813 -0.408 1944 11 6.333 0.852 0 0 6.438 0.957 6.009 0.868 1944 12 -3.000 -2.461 0 0 -2.835 -2.296 -4.038 -3.159 1945 1 -6.778 -3.514 0 0 -6.637 -3.373 -7.684 -4.080 1945 2 -1.444 0.584 0 0 -1.372 0.656 -2.155 0.214 1945 3 9.000 5.708 0 0 9.045 5.754 9.096 6.145 1945 4 11.000 1.351 0 0 11.040 1.390 11.361 2.052 1945 5 12.444 -2.992 0 0 12.424 -3.013 12.321 -2.775 1945 6 18.667 -1.695 0 0 18.562 -1.800 18.956 -1.065 1945 7 21.556 -0.945 0 0 21.439 -1.062 21.665 -0.494 1945 8 21.222 -0.549 0 0 21.162 -0.609 21.278 -0.153 1945 9 18.778 0.658 0 0 18.769 0.649 19.289 1.510 1945 10 10.611 -0.950 0 0 10.643 -0.918 10.360 -0.861 1945 11 6.000 0.519 0 0 6.104 0.623 5.983 0.843 1945 12 -3.611 -3.072 0 0 -3.447 -2.907 -4.282 -3.402 1946 1 -1.111 2.152 0 0 -0.970 2.293 -2.098 1.506 1946 2 -0.667 1.362 0 0 -0.595 1.434 -1.567 0.802 1946 3 9.444 6.153 0 0 9.490 6.198 9.484 6.532 1946 4 9.000 -0.649 0 0 9.040 -0.610 8.952 -0.357 1946 5 14.056 -1.381 0 0 14.035 -1.401 14.012 -1.083 1946 6 19.778 -0.584 0 0 19.673 -0.689 19.380 -0.642 1946 7 22.111 -0.389 0 0 21.994 -0.506 21.552 -0.608 1946 8 19.556 -2.216 0 0 19.496 -2.276 18.885 -2.546 1946 9 19.111 0.992 0 0 19.102 0.982 18.597 0.818 1946 10 NaN NaN NaN NaN NaN NaN 13.555 2.334 1946 11 7.611 2.130 0 0 7.715 2.235 7.456 2.316 1946 12 1.111 1.650 0 0 1.276 1.815 0.670 1.549 1947 1 0.444 3.708 0 0 0.585 3.849 0.029 3.633 1947 2 -5.111 -3.083 0 0 -5.039 -3.011 -6.309 -3.940 1947 3 -0.111 -3.403 0 0 -0.066 -3.357 -0.300 -3.251 1947 4 8.222 -1.427 0 0 8.262 -1.387 9.471 0.162 1947 5 13.389 -2.047 0 0 13.368 -2.068 13.289 -1.807 1947 6 19.500 -0.862 0 0 19.395 -0.967 19.258 -0.763 1947 7 20.778 -1.722 0 0 20.661 -1.839 20.241 -1.919 1947 8 24.611 2.840 0 0 24.551 2.780 24.411 2.980 1947 9 19.000 0.881 0 0 18.991 0.871 18.773 0.994 1947 10 16.111 4.550 0 0 16.143 4.582 15.300 4.080 1947 11 3.556 -1.925 0 0 3.660 -1.821 3.833 -1.307 1947 12 -0.389 0.150 0 0 -0.224 0.315 -1.173 -0.293 1948 1 -6.000 -2.737 0 0 -5.859 -2.596 -7.593 -3.990 1948 2 -1.889 0.140 0 0 -1.817 0.212 -2.513 -0.145 1948 3 4.000 0.708 0 0 4.045 0.754 4.662 1.710 1948 4 11.389 1.740 0 0 11.429 1.779 11.836 2.527 1948 5 13.333 -2.103 0 0 13.313 -2.124 13.695 -1.401 1948 6 20.222 -0.140 0 0 20.117 -0.244 19.799 -0.223 1948 7 23.500 1.000 0 0 23.383 0.883 22.363 0.203 1948 8 21.500 -0.271 0 0 21.440 -0.331 21.064 -0.366 1948 9 18.944 0.825 0 0 18.935 0.816 18.367 0.588 1948 10 10.167 -1.394 0 0 10.199 -1.362 9.540 -1.681 1948 11 8.167 2.686 0 0 8.271 2.790 8.129 2.989 1948 12 1.111 1.650 0 0 1.276 1.815 0.287 1.166 1949 1 1.833 5.097 0 0 1.974 5.238 1.197 4.801 1949 2 1.278 3.306 0 0 1.350 3.378 0.980 3.349 1949 3 3.889 0.597 0 0 3.934 0.643 3.649 0.698 1949 4 9.000 -0.649 0 0 9.040 -0.610 8.543 -0.766 1949 5 17.000 1.564 0 0 16.979 1.543 15.881 0.785 1949 6 23.389 3.027 0 0 23.284 2.922 22.389 2.368 1949 7 25.000 2.500 0 0 24.883 2.383 24.322 2.162 1949 8 22.667 0.896 0 0 22.607 0.836 21.971 0.540 1949 9 17.056 -1.064 0 0 17.046 -1.073 15.757 -2.022 1949 10 15.167 3.606 0 0 15.199 3.638 14.142 2.921 1949 11 5.167 -0.314 0 0 5.271 -0.210 5.479 0.339 1949 12 1.722 2.261 0 0 1.887 2.426 0.936 1.816 1950 1 2.722 5.986 0 0 2.863 6.127 2.651 6.255 1950 2 -1.278 0.751 0 0 -1.206 0.823 -1.754 0.615 1950 3 0.111 -3.180 0 0 0.156 -3.135 0.933 -2.018 1950 4 NaN NaN NaN NaN NaN NaN 6.589 -2.720 1950 5 16.675 1.239 1 0 NaN NaN 15.185 0.089 1950 6 20.500 0.138 0 0 20.395 0.033 19.348 -0.673 1950 7 20.611 -1.889 0 1 20.889 -1.611 20.544 -1.616 1950 8 21.444 -0.327 0 0 21.587 -0.184 20.342 -1.088 1950 9 17.833 -0.286 0 0 17.855 -0.264 17.104 -0.675 1950 10 13.722 2.161 0 0 13.646 2.085 12.885 1.664 1950 11 3.000 -2.481 0 0 2.752 -2.729 3.290 -1.850 1950 12 -3.444 -2.905 0 0 -3.836 -3.297 -4.219 -3.339 1951 1 -0.333 2.930 0 0 -0.669 2.595 -1.799 1.805 1951 2 -1.056 0.973 0 0 -1.227 0.801 -1.724 0.645 1951 3 3.667 0.375 0 0 3.559 0.267 3.460 0.509 1951 4 8.944 -0.705 0 0 8.850 -0.799 8.555 -0.754 1951 5 15.778 0.341 0 0 15.827 0.391 15.403 0.307 1951 6 19.611 -0.751 0 0 19.860 -0.501 20.151 0.130 1951 7 21.389 -1.111 0 0 21.667 -0.833 21.864 -0.296 1951 8 20.389 -1.382 0 0 20.532 -1.239 20.582 -0.848 1951 9 17.111 -1.008 0 0 17.133 -0.986 17.078 -0.701 1951 10 13.278 1.717 0 0 13.201 1.640 12.962 1.741 1951 11 2.500 -2.981 0 0 2.252 -3.229 2.284 -2.857 1951 12 -0.056 0.484 0 0 -0.447 0.092 -1.083 -0.204 1952 1 0.556 3.819 0 0 0.220 3.484 -0.487 3.117 1952 2 -0.056 1.973 0 0 -0.227 1.801 -0.508 1.860 1952 3 2.222 -1.069 0 0 2.115 -1.177 2.687 -0.264 1952 4 9.333 -0.316 0 0 9.239 -0.410 10.042 0.733 1952 5 14.278 -1.159 0 0 14.327 -1.109 13.802 -1.294 1952 6 22.778 2.416 0 0 23.027 2.665 22.003 1.981 1952 7 24.611 2.111 0 0 24.889 2.389 23.719 1.559 1952 8 22.056 0.284 0 0 22.198 0.427 21.164 -0.267 1952 9 18.056 -0.064 0 0 18.078 -0.042 17.882 0.102 1952 10 9.500 -2.061 0 0 9.424 -2.137 8.769 -2.452 1952 11 6.278 0.797 0 0 6.030 0.549 6.711 1.570 1952 12 2.500 3.039 0 0 2.109 2.648 0.698 1.577 1953 1 1.056 4.319 0 0 0.720 3.984 0.209 3.813 1953 2 1.556 3.584 0 0 1.384 3.413 0.054 2.423 1953 3 4.389 1.097 0 0 4.281 0.990 4.526 1.574 1953 4 7.167 -2.483 0 0 7.072 -2.577 7.915 -1.394 1953 5 16.278 0.841 0 0 16.327 0.891 16.339 1.243 1953 6 21.944 1.583 0 0 22.194 1.832 21.134 1.112 1953 7 NaN NaN NaN NaN NaN NaN 22.358 0.199 1953 8 NaN NaN NaN NaN NaN NaN 21.723 0.293 1953 9 NaN NaN NaN NaN NaN NaN 18.170 0.391 1953 10 -17.778 -29.339 1 0 NaN NaN 12.382 1.161 1953 11 7.667 2.186 0 0 7.418 1.938 6.674 1.533 1953 12 NaN NaN NaN NaN NaN NaN 0.641 1.521 1954 1 NaN NaN NaN NaN NaN NaN -2.570 1.034 1954 2 NaN NaN NaN NaN NaN NaN 1.241 3.610 1954 3 NaN NaN NaN NaN NaN NaN 2.054 -0.897 1954 4 NaN NaN NaN NaN NaN NaN 12.544 3.235 1954 5 NaN NaN NaN NaN NaN NaN 12.855 -2.241 1954 6 NaN NaN NaN NaN NaN NaN 21.022 1.001 1954 7 NaN NaN NaN NaN NaN NaN 21.656 -0.503 1954 8 NaN NaN NaN NaN NaN NaN 20.871 -0.560 1954 9 NaN NaN NaN NaN NaN NaN 18.946 1.167 1954 10 NaN NaN NaN NaN NaN NaN 12.712 1.492 1954 11 NaN NaN NaN NaN NaN NaN 5.395 0.254