% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33571 % Primary Name: LAWERENCEVILLE IL % Record Type: TAVG % Country: United States % State: IL % Latitude: 38.76600 +/- 0.00050 % Longitude: -87.60000 +/- 0.00050 % Elevation (m): 131.00 +/- 0.05 % # of Months: 38 % % IDs: gsod - 749075-99999 % icao - LMV % usaf - 749075 % % Sources: Global Summary of the Day % % Site Hash: 61de233525ebe6606859864cbfaed731 % Raw Data Hash: 1393d820a86e99abbcc37693a00f64ce % Adj Data Hash: 800b2ba25382829f5f9afd1f61e95d09 % % 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 1942 1 NaN NaN NaN NaN NaN NaN -2.433 0.203 1942 2 NaN NaN NaN NaN NaN NaN -1.871 -1.585 1942 3 NaN NaN NaN NaN NaN NaN 6.726 1.516 1942 4 NaN NaN NaN NaN NaN NaN 14.066 1.977 1942 5 NaN NaN NaN NaN NaN NaN 17.470 -0.084 1942 6 NaN NaN NaN NaN NaN NaN 22.763 0.249 1942 7 NaN NaN NaN NaN NaN NaN 24.727 0.241 1942 8 NaN NaN NaN NaN NaN NaN 22.856 -0.600 1942 9 NaN NaN NaN NaN NaN NaN 19.276 -0.553 1942 10 NaN NaN NaN NaN NaN NaN 13.805 0.655 1942 11 NaN NaN NaN NaN NaN NaN 7.919 1.762 1942 12 NaN NaN NaN NaN NaN NaN -1.716 -1.997 1943 1 0.248 1.758 1 0 NaN NaN -1.512 1.124 1943 2 2.766 1.926 0 0 2.766 1.926 1.219 1.505 1943 3 3.941 -2.395 0 0 3.941 -2.395 3.014 -2.196 1943 4 11.691 -1.524 0 0 11.691 -1.524 10.879 -1.210 1943 5 18.541 -0.139 0 0 18.541 -0.139 17.178 -0.376 1943 6 25.548 1.909 0 0 25.548 1.909 24.699 2.185 1943 7 26.853 1.242 0 0 26.853 1.242 25.194 0.709 1943 8 26.892 2.311 0 0 26.892 2.311 24.921 1.466 1943 9 19.054 -1.901 0 0 19.054 -1.901 17.948 -1.881 1943 10 13.783 -0.493 0 0 13.783 -0.493 12.868 -0.282 1943 11 5.276 -2.007 0 0 5.276 -2.007 4.663 -1.494 1943 12 -0.443 -1.850 0 0 -0.443 -1.850 -1.079 -1.360 1944 1 1.740 3.250 0 0 1.740 3.250 0.208 2.844 1944 2 3.301 2.461 1 0 NaN NaN 1.188 1.474 1944 3 4.853 -1.482 0 0 4.853 -1.482 3.673 -1.536 1944 4 12.113 -1.102 0 0 12.113 -1.102 11.307 -0.782 1944 5 21.308 2.628 0 0 21.308 2.628 20.107 2.553 1944 6 25.959 2.320 0 0 25.959 2.320 24.712 2.199 1944 7 26.396 0.785 0 0 26.396 0.785 24.828 0.342 1944 8 24.975 0.393 0 0 24.975 0.393 23.939 0.484 1944 9 20.663 -0.291 1 0 NaN NaN 20.011 0.182 1944 10 14.140 -0.136 0 0 14.140 -0.136 13.296 0.146 1944 11 7.972 0.689 0 0 7.972 0.689 7.263 1.106 1944 12 -1.661 -3.069 0 0 -1.661 -3.069 -2.940 -3.221 1945 1 -2.023 -0.513 0 0 -2.023 -0.513 -4.495 -1.859 1945 2 1.282 0.442 0 0 1.282 0.442 0.245 0.531 1945 3 11.907 5.571 0 0 11.907 5.571 11.067 5.858 1945 4 13.565 0.350 0 0 13.565 0.350 12.712 0.623 1945 5 16.038 -2.643 0 0 16.038 -2.643 14.727 -2.828 1945 6 21.565 -2.075 0 0 21.565 -2.075 20.839 -1.674 1945 7 24.482 -1.129 0 0 24.482 -1.129 23.051 -1.435 1945 8 23.887 -0.694 0 0 23.887 -0.694 22.862 -0.594 1945 9 20.848 -0.106 0 0 20.848 -0.106 20.614 0.785 1945 10 13.283 -0.993 0 0 13.283 -0.993 12.274 -0.876 1945 11 7.596 0.313 0 0 7.596 0.313 6.883 0.726 1945 12 -2.172 -3.579 0 0 -2.172 -3.579 -3.285 -3.567 1946 1 0.326 1.836 0 0 0.326 1.836 -1.389 1.247 1946 2 -4.671 -5.511 1 0 NaN NaN 1.565 1.851 1946 3 NaN NaN NaN NaN NaN NaN 12.040 6.831 1946 4 NaN NaN NaN NaN NaN NaN 13.481 1.392 1946 5 NaN NaN NaN NaN NaN NaN 15.563 -1.992 1946 6 NaN NaN NaN NaN NaN NaN 22.586 0.072 1946 7 NaN NaN NaN NaN NaN NaN 24.228 -0.258 1946 8 NaN NaN NaN NaN NaN NaN 20.912 -2.544 1946 9 NaN NaN NaN NaN NaN NaN 19.694 -0.134 1946 10 NaN NaN NaN NaN NaN NaN 15.415 2.265 1946 11 NaN NaN NaN NaN NaN NaN 8.640 2.483 1946 12 NaN NaN NaN NaN NaN NaN 3.188 2.907 1947 1 NaN NaN NaN NaN NaN NaN 0.621 3.257 1947 2 NaN NaN NaN NaN NaN NaN -4.427 -4.142