% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32818 % Primary Name: LACONIA % Record Type: TAVG % Country: United States % State: IN % Latitude: 38.05000 +/- 0.00005 % Longitude: -86.13330 +/- 0.00005 % Elevation (m): 167.64 +/- 0.15 % # of Months: 39 % % Alternate Names: Missing Station ID - 124698 % % IDs: coop - 124698 % ghcnd - USC00124698 % ncdc - 30002977 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 3b6b3899a8727e634cd02a8cc08da95f % Raw Data Hash: 2fe36f107435e50157ac9eb7ae4b4016 % Adj Data Hash: aa0a705e9f306eb8e9b9416f4c43ec36 % % 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 1892 1 NaN NaN NaN NaN NaN NaN -3.074 -3.329 1892 2 NaN NaN NaN NaN NaN NaN 4.394 2.227 1892 3 NaN NaN NaN NaN NaN NaN 4.473 -2.856 1892 4 NaN NaN NaN NaN NaN NaN 12.865 -0.543 1892 5 NaN NaN NaN NaN NaN NaN 17.529 -0.812 1892 6 NaN NaN NaN NaN NaN NaN 24.106 1.359 1892 7 NaN NaN NaN NaN NaN NaN 24.016 -0.744 1892 8 NaN NaN NaN NaN NaN NaN 23.390 -0.721 1892 9 NaN NaN NaN NaN NaN NaN 19.825 -0.823 1892 10 NaN NaN NaN NaN NaN NaN 13.407 -0.395 1892 11 NaN NaN NaN NaN NaN NaN 5.376 -2.194 1892 12 NaN NaN NaN NaN NaN NaN 0.697 -1.911 1893 1 -4.606 -5.208 0 0 -4.606 -5.208 -5.207 -5.463 1893 2 2.163 -0.351 0 0 2.163 -0.351 1.899 -0.267 1893 3 6.667 -1.009 0 0 6.667 -1.009 6.495 -0.834 1893 4 13.632 -0.122 1 0 NaN NaN 14.268 0.859 1893 5 17.500 -1.188 0 0 17.500 -1.188 16.630 -1.711 1893 6 23.463 0.369 0 0 23.463 0.369 22.721 -0.026 1893 7 27.276 2.169 0 0 27.276 2.169 25.598 0.838 1893 8 24.211 -0.246 0 0 24.211 -0.246 23.299 -0.813 1893 9 21.056 0.062 0 0 21.056 0.062 21.004 0.357 1893 10 12.921 -1.227 0 0 12.921 -1.227 13.181 -0.620 1893 11 5.963 -1.954 0 0 5.963 -1.954 6.307 -1.263 1893 12 3.226 0.271 0 0 3.226 0.271 3.042 0.433 1894 1 2.685 2.083 0 0 2.685 2.083 2.903 2.647 1894 2 0.893 -1.620 0 0 0.893 -1.620 1.136 -1.031 1894 3 9.333 1.658 0 0 9.333 1.658 9.807 2.478 1894 4 12.593 -1.162 0 0 12.593 -1.162 12.986 -0.423 1894 5 17.867 -0.820 0 0 17.867 -0.820 17.160 -1.181 1894 6 NaN NaN NaN NaN NaN NaN 23.416 0.668 1894 7 25.394 0.288 0 0 25.394 0.288 23.967 -0.793 1894 8 NaN NaN NaN NaN NaN NaN 24.330 0.218 1894 9 NaN NaN NaN NaN NaN NaN 21.978 1.330 1894 10 NaN NaN NaN NaN NaN NaN 13.549 -0.253 1894 11 5.345 -2.572 0 0 5.345 -2.572 5.747 -1.823 1894 12 3.716 0.761 0 0 3.716 0.761 3.032 0.423 1895 1 -2.261 -2.863 0 0 -2.261 -2.863 -2.342 -2.598 1895 2 -4.345 -6.858 0 0 -4.345 -6.858 -4.706 -6.872 1895 3 5.944 -1.731 0 0 5.944 -1.731 6.359 -0.970 1895 4 14.042 0.287 0 0 14.042 0.287 13.836 0.427 1895 5 NaN NaN NaN NaN NaN NaN 17.038 -1.303 1895 6 NaN NaN NaN NaN NaN NaN 23.733 0.985 1895 7 24.516 -0.590 0 0 24.516 -0.590 23.102 -1.658 1895 8 24.259 -0.198 0 0 24.259 -0.198 24.051 -0.060 1895 9 22.611 1.617 0 0 22.611 1.617 22.700 2.053 1895 10 10.341 -3.808 0 0 10.341 -3.808 10.163 -3.638 1895 11 6.820 -1.097 0 0 6.820 -1.097 7.309 -0.261 1895 12 NaN NaN NaN NaN NaN NaN 3.221 0.612 1896 1 1.559 0.957 0 0 1.559 0.957 0.970 0.715 1896 2 NaN NaN NaN NaN NaN NaN 1.620 -0.547 1896 3 NaN NaN NaN NaN NaN NaN 4.104 -3.225 1896 4 NaN NaN NaN NaN NaN NaN 17.390 3.982 1896 5 NaN NaN NaN NaN NaN NaN 21.205 2.863 1896 6 23.907 0.814 0 0 23.907 0.814 22.550 -0.197 1896 7 25.735 0.628 0 0 25.735 0.628 24.543 -0.217 1896 8 24.892 0.435 0 0 24.892 0.435 24.260 0.148 1896 9 NaN NaN NaN NaN NaN NaN 20.005 -0.643 1896 10 12.204 -1.944 0 0 12.204 -1.944 11.965 -1.837 1896 11 NaN NaN NaN NaN NaN NaN 9.373 1.802 1896 12 3.763 0.808 0 0 3.763 0.808 3.571 0.962 1897 1 -1.022 -1.624 0 0 -1.022 -1.624 -1.529 -1.785 1897 2 2.718 0.205 0 0 2.718 0.205 2.717 0.550 1897 3 8.389 0.713 0 0 8.389 0.713 8.897 1.568 1897 4 NaN NaN NaN NaN NaN NaN 12.705 -0.704 1897 5 NaN NaN NaN NaN NaN NaN 15.380 -2.962 1897 6 NaN NaN NaN NaN NaN NaN 22.611 -0.137 1897 7 26.487 1.381 0 0 26.487 1.381 24.943 0.182 1897 8 NaN NaN NaN NaN NaN NaN 23.562 -0.550 1897 9 NaN NaN NaN NaN NaN NaN 22.182 1.534 1897 10 NaN NaN NaN NaN NaN NaN 16.515 2.713 1897 11 NaN NaN NaN NaN NaN NaN 8.218 0.648 1897 12 NaN NaN NaN NaN NaN NaN 2.841 0.233 1898 1 NaN NaN NaN NaN NaN NaN 3.010 2.754 1898 2 NaN NaN NaN NaN NaN NaN 1.697 -0.470 1898 3 NaN NaN NaN NaN NaN NaN 9.675 2.346 1898 4 NaN NaN NaN NaN NaN NaN 10.795 -2.614 1898 5 NaN NaN NaN NaN NaN NaN 18.859 0.518 1898 6 NaN NaN NaN NaN NaN NaN 23.917 1.169 1898 7 NaN NaN NaN NaN NaN NaN 25.034 0.274