% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 163160 % Primary Name: EAST LIVERPOOL WB AP % Record Type: TAVG % Country: United States % State: OH % Latitude: 40.68330 +/- 0.00005 % Longitude: -80.63330 +/- 0.00005 % Elevation (m): 355.10 +/- 0.05 % # of Months: 102 % % IDs: coop - 332433 % ghcnd - USW00014823 % gsod - 999999-14823 % ncdc - 20015466 % wban - 14823 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Global Summary of the Day % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: a3a37c6f1673d0f465338322344f6ca6 % Raw Data Hash: 6df2ac70eb354a0dd9c7b5547d1e98ef % Adj Data Hash: 9e11bc8a74d47ae8ea63b85ddf18f097 % % 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 1939 4 NaN NaN NaN NaN NaN NaN 7.474 -1.835 1939 5 NaN NaN NaN NaN NaN NaN 16.175 1.079 1939 6 NaN NaN NaN NaN NaN NaN 21.345 1.323 1939 7 NaN NaN NaN NaN NaN NaN 21.590 -0.570 1939 8 NaN NaN NaN NaN NaN NaN 21.911 0.480 1939 9 NaN NaN NaN NaN NaN NaN 19.737 1.958 1939 10 NaN NaN NaN NaN NaN NaN 12.311 1.090 1939 11 NaN NaN NaN NaN NaN NaN 4.296 -0.844 1939 12 NaN NaN NaN NaN NaN NaN 0.538 1.418 1940 1 NaN NaN NaN NaN NaN NaN -9.279 -5.675 1940 2 NaN NaN NaN NaN NaN NaN -2.975 -0.607 1940 3 NaN NaN NaN NaN NaN NaN 0.116 -2.835 1940 4 7.444 -1.610 0 0 7.444 -1.610 7.056 -2.253 1940 5 14.222 -0.620 0 0 14.222 -0.620 13.821 -1.275 1940 6 20.389 0.621 0 0 20.389 0.621 20.217 0.196 1940 7 21.889 -0.017 0 0 21.889 -0.017 22.058 -0.102 1940 8 21.222 0.046 0 0 21.222 0.046 21.147 -0.284 1940 9 15.667 -1.858 0 0 15.667 -1.858 16.325 -1.454 1940 10 10.333 -0.633 0 0 10.333 -0.633 10.648 -0.572 1940 11 4.222 -0.664 0 0 4.222 -0.664 4.745 -0.396 1940 12 2.778 3.911 0 0 2.778 3.911 1.741 2.621 1941 1 -2.444 1.413 0 0 -2.444 1.413 -3.048 0.556 1941 2 -4.111 -1.488 0 0 -4.111 -1.488 -4.457 -2.088 1941 3 -1.444 -4.142 0 0 -1.444 -4.142 -0.798 -3.749 1941 4 12.222 3.167 0 0 12.222 3.167 12.153 2.844 1941 5 15.222 0.380 0 0 15.222 0.380 15.626 0.530 1941 6 20.000 0.233 0 0 20.000 0.233 20.516 0.495 1941 7 22.111 0.205 0 0 22.111 0.205 22.792 0.632 1941 8 19.167 -2.010 0 0 19.167 -2.010 20.214 -1.216 1941 9 18.111 0.586 0 0 18.111 0.586 19.277 1.498 1941 10 13.000 2.033 0 0 13.000 2.033 13.453 2.232 1941 11 5.667 0.780 0 0 5.667 0.780 6.523 1.382 1941 12 1.889 3.023 0 0 1.889 3.023 2.039 2.918 1942 1 -3.000 0.858 0 0 -3.000 0.858 -3.346 0.258 1942 2 -4.389 -1.766 0 0 -4.389 -1.766 -4.749 -2.380 1942 3 4.056 1.358 0 0 4.056 1.358 4.351 1.400 1942 4 11.333 2.278 0 0 11.333 2.278 11.566 2.257 1942 5 16.056 1.214 0 0 16.056 1.214 16.021 0.925 1942 6 20.444 0.677 0 0 20.444 0.677 20.768 0.747 1942 7 21.556 -0.350 0 0 21.556 -0.350 22.231 0.071 1942 8 20.111 -1.066 0 0 20.111 -1.066 20.742 -0.689 1942 9 16.167 -1.358 0 0 16.167 -1.358 17.594 -0.185 1942 10 12.000 1.033 0 0 12.000 1.033 12.059 0.838 1942 11 5.056 0.169 0 0 5.056 0.169 5.903 0.763 1942 12 -3.278 -2.144 0 0 -3.278 -2.144 -3.173 -2.293 1943 1 -2.333 1.524 0 0 -2.333 1.524 -3.236 0.368 1943 2 -1.778 0.845 0 0 -1.778 0.845 -1.917 0.452 1943 3 2.056 -0.642 0 0 2.056 -0.642 2.400 -0.551 1943 4 5.667 -3.388 0 0 5.667 -3.388 6.301 -3.008 1943 5 15.111 0.269 0 0 15.111 0.269 14.816 -0.280 1943 6 22.000 2.233 0 0 22.000 2.233 22.623 2.602 1943 7 21.833 -0.073 0 0 21.833 -0.073 22.416 0.256 1943 8 20.333 -0.843 0 0 20.333 -0.843 21.167 -0.264 1943 9 15.778 -1.747 0 0 15.778 -1.747 16.518 -1.261 1943 10 9.500 -1.467 0 0 9.500 -1.467 9.972 -1.248 1943 11 2.778 -2.109 0 0 2.778 -2.109 3.916 -1.225 1943 12 -2.778 -1.644 0 0 -2.778 -1.644 -2.398 -1.518 1944 1 -0.500 3.358 0 0 -0.500 3.358 -1.229 2.375 1944 2 -2.111 0.512 0 0 -2.111 0.512 -1.979 0.390 1944 3 0.889 -1.808 0 0 0.889 -1.808 1.723 -1.228 1944 4 7.667 -1.388 0 0 7.667 -1.388 7.897 -1.412 1944 5 18.667 3.825 0 0 18.667 3.825 18.432 3.336 1944 6 20.889 1.121 0 0 20.889 1.121 21.629 1.607 1944 7 21.889 -0.017 0 0 21.889 -0.017 22.290 0.130 1944 8 21.444 0.268 0 0 21.444 0.268 22.101 0.670 1944 9 16.556 -0.970 0 0 16.556 -0.970 17.581 -0.198 1944 10 10.167 -0.800 0 0 10.167 -0.800 10.813 -0.408 1944 11 4.778 -0.109 0 0 4.778 -0.109 6.009 0.868 1944 12 -4.333 -3.200 0 0 -4.333 -3.200 -4.038 -3.159 1945 1 -7.222 -3.364 0 0 -7.222 -3.364 -7.684 -4.080 1945 2 -1.778 0.845 0 0 -1.778 0.845 -2.155 0.214 1945 3 8.778 6.081 0 0 8.778 6.081 9.096 6.145 1945 4 10.944 1.890 0 0 10.944 1.890 11.361 2.052 1945 5 12.111 -2.731 0 0 12.111 -2.731 12.321 -2.775 1945 6 18.889 -0.879 0 0 18.889 -0.879 18.956 -1.065 1945 7 21.444 -0.461 0 0 21.444 -0.461 21.665 -0.494 1945 8 21.056 -0.121 0 0 21.056 -0.121 21.278 -0.153 1945 9 18.667 1.142 0 0 18.667 1.142 19.289 1.510 1945 10 9.778 -1.189 0 0 9.778 -1.189 10.360 -0.861 1945 11 4.889 0.002 0 0 4.889 0.002 5.983 0.843 1945 12 -4.722 -3.589 0 0 -4.722 -3.589 -4.282 -3.402 1946 1 -2.056 1.802 0 0 -2.056 1.802 -2.098 1.506 1946 2 -1.222 1.401 0 0 -1.222 1.401 -1.567 0.802 1946 3 9.222 6.525 0 0 9.222 6.525 9.484 6.532 1946 4 8.556 -0.499 0 0 8.556 -0.499 8.952 -0.357 1946 5 14.222 -0.620 0 0 14.222 -0.620 14.012 -1.083 1946 6 19.000 -0.767 0 0 19.000 -0.767 19.380 -0.642 1946 7 20.778 -1.128 0 0 20.778 -1.128 21.552 -0.608 1946 8 18.222 -2.954 0 0 18.222 -2.954 18.885 -2.546 1946 9 17.944 0.419 0 0 17.944 0.419 18.597 0.818 1946 10 13.111 2.144 0 0 13.111 2.144 13.555 2.334 1946 11 6.667 1.780 0 0 6.667 1.780 7.456 2.316 1946 12 1.000 2.134 0 0 1.000 2.134 0.670 1.549 1947 1 1.056 4.913 0 0 1.056 4.913 0.029 3.633 1947 2 -6.222 -3.599 0 0 -6.222 -3.599 -6.309 -3.940 1947 3 -0.444 -3.142 0 0 -0.444 -3.142 -0.300 -3.251 1947 4 9.444 0.390 0 0 9.444 0.390 9.471 0.162 1947 5 13.111 -1.731 0 0 13.111 -1.731 13.289 -1.807 1947 6 18.778 -0.990 0 0 18.778 -0.990 19.258 -0.763 1947 7 19.778 -2.128 0 0 19.778 -2.128 20.241 -1.919 1947 8 24.111 2.934 0 0 24.111 2.934 24.411 2.980 1947 9 17.722 0.197 0 0 17.722 0.197 18.773 0.994 1947 10 15.389 4.422 0 0 15.389 4.422 15.300 4.080 1947 11 2.944 -1.942 0 0 2.944 -1.942 3.833 -1.307 1947 12 -1.222 -0.089 0 0 -1.222 -0.089 -1.173 -0.293 1948 1 -7.278 -3.420 0 0 -7.278 -3.420 -7.593 -3.990 1948 2 -1.500 1.123 0 0 -1.500 1.123 -2.513 -0.145 1948 3 4.722 2.025 0 0 4.722 2.025 4.662 1.710 1948 4 11.444 2.390 0 0 11.444 2.390 11.836 2.527 1948 5 14.167 -0.675 0 0 14.167 -0.675 13.695 -1.401 1948 6 19.778 0.010 0 0 19.778 0.010 19.799 -0.223 1948 7 22.278 0.372 0 0 22.278 0.372 22.363 0.203 1948 8 21.206 0.030 0 0 21.206 0.030 21.064 -0.366 1948 9 13.357 -4.168 1 0 NaN NaN 18.367 0.588 1948 10 NaN NaN NaN NaN NaN NaN 9.540 -1.681 1948 11 NaN NaN NaN NaN NaN NaN 8.129 2.989 1948 12 NaN NaN NaN NaN NaN NaN 0.287 1.166 1949 1 NaN NaN NaN NaN NaN NaN 1.197 4.801 1949 2 NaN NaN NaN NaN NaN NaN 0.980 3.349 1949 3 NaN NaN NaN NaN NaN NaN 3.649 0.698 1949 4 NaN NaN NaN NaN NaN NaN 8.543 -0.766 1949 5 NaN NaN NaN NaN NaN NaN 15.881 0.785 1949 6 NaN NaN NaN NaN NaN NaN 22.389 2.368 1949 7 NaN NaN NaN NaN NaN NaN 24.322 2.162 1949 8 NaN NaN NaN NaN NaN NaN 21.971 0.540 1949 9 NaN NaN NaN NaN NaN NaN 15.757 -2.022