% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29021 % Primary Name: EAU CLAIRE % Record Type: TAVG % Country: United States % State: SC % Latitude: 34.01670 +/- 0.00005 % Longitude: -81.06670 +/- 0.00005 % Elevation (m): 106.68 +/- 0.15 % # of Months: 67 % % Alternate Names: Missing Station ID - 382630 % % IDs: coop - 382630 % ghcnd - USC00382630 % ncdc - 12004893 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 4308f27b5be9ae968924a104420db3b7 % Raw Data Hash: 4480603e15985248a3b9a54d044800df % Adj Data Hash: 86e2874b03154f93e180561324ee5a13 % % 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 1940 6 NaN NaN NaN NaN NaN NaN 24.774 0.512 1940 7 NaN NaN NaN NaN NaN NaN 25.546 -0.594 1940 8 NaN NaN NaN NaN NaN NaN 25.437 -0.326 1940 9 NaN NaN NaN NaN NaN NaN 22.027 -0.488 1940 10 NaN NaN NaN NaN NaN NaN 16.512 0.402 1940 11 NaN NaN NaN NaN NaN NaN 11.180 0.311 1940 12 NaN NaN NaN NaN NaN NaN 8.139 1.683 1941 1 NaN NaN NaN NaN NaN NaN 6.030 0.569 1941 2 NaN NaN NaN NaN NaN NaN 3.985 -2.905 1941 3 NaN NaN NaN NaN NaN NaN 7.939 -3.118 1941 4 NaN NaN NaN NaN NaN NaN 17.355 1.155 1941 5 NaN NaN NaN NaN NaN NaN 21.754 1.112 1941 6 24.497 -1.123 1 0 NaN NaN 24.564 0.301 1941 7 26.587 -0.911 0 0 26.587 -0.911 26.054 -0.087 1941 8 26.207 -0.913 1 0 NaN NaN 26.431 0.668 1941 9 24.673 0.801 0 0 24.673 0.801 24.314 1.799 1941 10 22.127 4.659 0 0 22.127 4.659 20.173 4.063 1941 11 12.823 0.597 0 0 12.823 0.597 11.523 0.655 1941 12 9.492 1.679 0 0 9.492 1.679 8.076 1.620 1942 1 7.653 0.834 0 0 7.653 0.834 5.537 0.076 1942 2 5.773 -2.475 0 0 5.773 -2.475 3.933 -2.957 1942 3 13.098 0.684 0 0 13.098 0.684 11.374 0.318 1942 4 17.630 0.072 0 0 17.630 0.072 17.403 1.203 1942 5 21.540 -0.459 0 0 21.540 -0.459 20.612 -0.029 1942 6 25.758 0.138 0 0 25.758 0.138 25.292 1.030 1942 7 27.442 -0.056 0 0 27.442 -0.056 26.719 0.579 1942 8 25.537 -1.584 0 0 25.537 -1.584 25.119 -0.644 1942 9 23.925 0.052 0 0 23.925 0.052 23.006 0.491 1942 10 18.184 0.716 0 0 18.184 0.716 16.535 0.425 1942 11 14.073 1.847 0 0 14.073 1.847 12.195 1.327 1942 12 7.645 -0.168 0 0 7.645 -0.168 5.755 -0.701 1943 1 9.297 2.478 0 0 9.297 2.478 7.151 1.690 1943 2 10.350 2.102 0 0 10.350 2.102 7.536 0.646 1943 3 12.331 -0.083 0 0 12.331 -0.083 9.799 -1.257 1943 4 17.127 -0.432 0 0 17.127 -0.432 15.648 -0.552 1943 5 22.708 0.708 0 0 22.708 0.708 21.221 0.579 1943 6 27.577 1.956 0 0 27.577 1.956 26.600 2.338 1943 7 27.027 -0.471 0 0 27.027 -0.471 25.644 -0.497 1943 8 27.061 -0.060 0 0 27.061 -0.060 26.577 0.814 1943 9 21.783 -2.089 0 0 21.783 -2.089 21.110 -1.405 1943 10 16.684 -0.784 0 0 16.684 -0.784 15.088 -1.022 1943 11 11.188 -1.038 0 0 11.188 -1.038 10.029 -0.839 1943 12 7.826 0.013 0 0 7.826 0.013 6.584 0.129 1944 1 7.523 0.703 0 0 7.523 0.703 5.833 0.371 1944 2 11.348 3.100 1 0 NaN NaN 8.898 2.008 1944 3 12.498 0.084 0 0 12.498 0.084 10.704 -0.352 1944 4 17.592 0.033 0 0 17.592 0.033 15.788 -0.413 1944 5 23.177 1.178 0 0 23.177 1.178 21.819 1.177 1944 6 27.148 1.528 0 0 27.148 1.528 26.202 1.939 1944 7 25.516 -1.982 0 0 25.516 -1.982 24.993 -1.147 1944 8 25.382 -1.739 0 0 25.382 -1.739 24.800 -0.963 1944 9 24.254 0.382 0 0 24.254 0.382 23.513 0.998 1944 10 17.090 -0.378 0 0 17.090 -0.378 15.995 -0.115 1944 11 11.393 -0.833 0 0 11.393 -0.833 10.337 -0.531 1944 12 5.498 -2.315 0 0 5.498 -2.315 4.081 -2.375 1945 1 7.258 0.439 0 0 7.258 0.439 5.630 0.169 1945 2 10.313 2.064 0 0 10.313 2.064 7.939 1.049 1945 3 18.182 5.768 0 0 18.182 5.768 16.227 5.171 1945 4 19.584 2.026 0 0 19.584 2.026 18.059 1.859 1945 5 20.302 -1.698 0 0 20.302 -1.698 18.779 -1.863 1945 6 26.357 0.736 0 0 26.357 0.736 25.049 0.787 1945 7 26.748 -0.750 0 0 26.748 -0.750 25.914 -0.226 1945 8 25.911 -1.210 0 0 25.911 -1.210 24.943 -0.820 1945 9 24.997 1.124 0 0 24.997 1.124 24.215 1.700 1945 10 17.131 -0.337 0 0 17.131 -0.337 15.567 -0.544 1945 11 13.345 1.119 0 0 13.345 1.119 11.921 1.053 1945 12 5.324 -2.489 0 0 5.324 -2.489 3.343 -3.112 1946 1 8.998 2.179 0 0 8.998 2.179 6.477 1.015 1946 2 10.357 2.109 0 0 10.357 2.109 7.808 0.918 1946 3 16.439 4.025 0 0 16.439 4.025 14.708 3.652 1946 4 18.357 0.798 0 0 18.357 0.798 17.324 1.123 1946 5 21.635 -0.364 0 0 21.635 -0.364 19.924 -0.718 1946 6 25.602 -0.019 0 0 25.602 -0.019 24.300 0.038 1946 7 26.085 -1.413 0 0 26.085 -1.413 25.282 -0.859 1946 8 25.515 -1.606 0 0 25.515 -1.606 24.627 -1.136 1946 9 22.777 -1.096 0 0 22.777 -1.096 22.068 -0.447 1946 10 17.600 0.132 0 0 17.600 0.132 16.201 0.091 1946 11 14.987 2.760 0 0 14.987 2.760 13.878 3.010 1946 12 10.606 2.793 0 0 10.606 2.793 8.642 2.187 1947 1 NaN NaN NaN NaN NaN NaN 8.016 2.555 1947 2 NaN NaN NaN NaN NaN NaN 3.149 -3.741 1947 3 NaN NaN NaN NaN NaN NaN 6.945 -4.111 1947 4 NaN NaN NaN NaN NaN NaN 17.858 1.658 1947 5 NaN NaN NaN NaN NaN NaN 20.574 -0.068 1947 6 NaN NaN NaN NaN NaN NaN 23.801 -0.462 1947 7 NaN NaN NaN NaN NaN NaN 24.134 -2.006 1947 8 NaN NaN NaN NaN NaN NaN 26.017 0.254 1947 9 NaN NaN NaN NaN NaN NaN 23.349 0.834 1947 10 NaN NaN NaN NaN NaN NaN 17.927 1.816 1947 11 NaN NaN NaN NaN NaN NaN 9.559 -1.310 1947 12 NaN NaN NaN NaN NaN NaN 6.155 -0.301