% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33848 % Primary Name: LAWSHE % Record Type: TAVG % Country: United States % State: OH % Latitude: 38.96670 +/- 0.00005 % Longitude: -83.48330 +/- 0.00005 % Elevation (m): 274.32 +/- 0.15 % # of Months: 33 % % Alternate Names: Missing Station ID - 334440 % % IDs: coop - 334440 % ghcnd - USC00334440 % ncdc - 12004009 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 76c52642780f2b540189db2178da308b % Raw Data Hash: 4ced951c7949635ed32f715dba41cb55 % Adj Data Hash: 8a1063840df498def6f7a2e9c407a0df % % 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 1907 1 NaN NaN NaN NaN NaN NaN 1.233 3.093 1907 2 NaN NaN NaN NaN NaN NaN -2.526 -2.275 1907 3 NaN NaN NaN NaN NaN NaN 9.432 4.219 1907 4 NaN NaN NaN NaN NaN NaN 6.643 -4.771 1907 5 NaN NaN NaN NaN NaN NaN 13.695 -3.262 1907 6 NaN NaN NaN NaN NaN NaN 19.243 -2.293 1907 7 NaN NaN NaN NaN NaN NaN 22.989 -0.532 1907 8 NaN NaN NaN NaN NaN NaN 21.132 -1.626 1907 9 NaN NaN NaN NaN NaN NaN 19.476 0.253 1907 10 NaN NaN NaN NaN NaN NaN 9.953 -2.516 1907 11 NaN NaN NaN NaN NaN NaN 4.777 -1.410 1907 12 NaN NaN NaN NaN NaN NaN 1.096 0.439 1908 1 -0.429 0.727 0 0 -0.429 0.727 -1.486 0.375 1908 2 0.176 -0.277 1 0 NaN NaN -1.661 -1.410 1908 3 9.045 3.128 0 0 9.045 3.128 7.861 2.649 1908 4 12.992 0.873 0 0 12.992 0.873 11.829 0.414 1908 5 18.300 0.639 0 0 18.300 0.639 17.436 0.479 1908 6 21.518 -0.722 0 0 21.518 -0.722 21.042 -0.494 1908 7 24.194 -0.032 0 0 24.194 -0.032 23.552 0.030 1908 8 22.939 -0.524 0 0 22.939 -0.524 22.235 -0.524 1908 9 19.670 -0.257 0 0 19.670 -0.257 20.398 1.175 1908 10 12.181 -0.993 0 0 12.181 -0.993 12.362 -0.107 1908 11 6.477 -0.415 0 0 6.477 -0.415 6.384 0.197 1908 12 2.118 0.756 0 0 2.118 0.756 1.408 0.750 1909 1 2.303 3.459 0 0 2.303 3.459 0.499 2.359 1909 2 3.870 3.416 0 0 3.870 3.416 2.441 2.692 1909 3 5.463 -0.454 0 0 5.463 -0.454 4.246 -0.967 1909 4 12.083 -0.035 0 0 12.083 -0.035 10.961 -0.454 1909 5 16.640 -1.021 0 0 16.640 -1.021 15.512 -1.445 1909 6 22.682 0.441 0 0 22.682 0.441 21.991 0.454 1909 7 22.465 -1.761 0 0 22.465 -1.761 21.519 -2.003 1909 8 23.097 -0.366 0 0 23.097 -0.366 22.422 -0.336 1909 9 18.340 -1.587 0 0 18.340 -1.587 18.083 -1.140 1909 10 9.594 -3.580 0 0 9.594 -3.580 9.468 -3.001 1909 11 10.393 3.502 0 0 10.393 3.502 10.435 4.248 1909 12 -2.316 -3.678 0 0 -2.316 -3.678 -3.163 -3.820 1910 1 -0.737 0.419 0 0 -0.737 0.419 -2.252 -0.391 1910 2 -1.607 -2.060 0 0 -1.607 -2.060 -3.212 -2.961 1910 3 10.019 4.103 0 0 10.019 4.103 9.900 4.687 1910 4 11.843 -0.275 0 0 11.843 -0.275 11.603 0.189 1910 5 14.531 -3.131 0 0 14.531 -3.131 13.792 -3.165 1910 6 19.600 -2.641 0 0 19.600 -2.641 19.347 -2.190 1910 7 24.213 -0.013 0 0 24.213 -0.013 23.330 -0.191 1910 8 22.165 -1.298 0 0 22.165 -1.298 21.869 -0.889 1910 9 20.187 0.259 1 0 NaN NaN 20.061 0.838 1910 10 NaN NaN NaN NaN NaN NaN 14.246 1.777 1910 11 NaN NaN NaN NaN NaN NaN 3.272 -2.915 1910 12 NaN NaN NaN NaN NaN NaN -3.076 -3.733 1911 1 NaN NaN NaN NaN NaN NaN 0.703 2.564 1911 2 NaN NaN NaN NaN NaN NaN 2.020 2.271 1911 3 NaN NaN NaN NaN NaN NaN 4.472 -0.741 1911 4 NaN NaN NaN NaN NaN NaN 9.657 -1.757 1911 5 NaN NaN NaN NaN NaN NaN 19.334 2.377 1911 6 NaN NaN NaN NaN NaN NaN 22.151 0.614 1911 7 NaN NaN NaN NaN NaN NaN 23.374 -0.147 1911 8 NaN NaN NaN NaN NaN NaN 23.050 0.292 1911 9 NaN NaN NaN NaN NaN NaN 21.030 1.807