% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32049 % Primary Name: ANNVILLE % Record Type: TAVG % Country: United States % State: KY % Latitude: 37.28330 +/- 0.00005 % Longitude: -83.88330 +/- 0.00005 % Elevation (m): 360.36 +/- 64.90 % # of Months: 34 % % Alternate Names: Missing Station ID - 150174 % % IDs: coop - 150174 % ghcnd - USC00150174 % ncdc - 20008249 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: a2a1ca933e57763e1c6bbd2dfbaa2533 % Raw Data Hash: 393be8e68f40e4803216261186769cce % Adj Data Hash: 942562aba9c34d5a3dc097b7de5da3b0 % % 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 1937 12 NaN NaN NaN NaN NaN NaN 0.925 -1.473 1938 1 NaN NaN NaN NaN NaN NaN 1.060 0.749 1938 2 NaN NaN NaN NaN NaN NaN 5.641 3.701 1938 3 NaN NaN NaN NaN NaN NaN 10.716 3.673 1938 4 NaN NaN NaN NaN NaN NaN 14.246 1.418 1938 5 NaN NaN NaN NaN NaN NaN 17.621 -0.113 1938 6 NaN NaN NaN NaN NaN NaN 20.860 -0.950 1938 7 NaN NaN NaN NaN NaN NaN 24.084 0.183 1938 8 NaN NaN NaN NaN NaN NaN 24.337 0.944 1938 9 NaN NaN NaN NaN NaN NaN 20.619 0.588 1938 10 NaN NaN NaN NaN NaN NaN 13.977 0.760 1938 11 NaN NaN NaN NaN NaN NaN 8.329 1.095 1938 12 -2.317 -4.617 1 0 NaN NaN 2.089 -0.309 1939 1 3.389 3.176 0 0 3.389 3.176 2.749 2.438 1939 2 4.222 2.381 0 0 4.222 2.381 4.098 2.158 1939 3 8.444 1.499 0 0 8.444 1.499 8.509 1.466 1939 4 10.222 -2.508 0 0 10.222 -2.508 11.331 -1.497 1939 5 17.778 0.142 0 0 17.778 0.142 18.230 0.496 1939 6 22.944 1.233 0 0 22.944 1.233 23.459 1.649 1939 7 23.444 -0.358 0 0 23.444 -0.358 23.618 -0.283 1939 8 22.444 -0.850 0 0 22.444 -0.850 23.264 -0.129 1939 9 21.167 1.234 0 0 21.167 1.234 22.497 2.466 1939 10 14.389 1.270 0 0 14.389 1.270 14.792 1.575 1939 11 5.111 -2.025 0 0 5.111 -2.025 5.891 -1.343 1939 12 2.500 0.200 0 0 2.500 0.200 3.017 0.619 1940 1 -6.111 -6.324 0 0 -6.111 -6.324 -6.480 -6.791 1940 2 2.611 0.770 0 0 2.611 0.770 0.921 -1.018 1940 3 5.778 -1.167 0 0 5.778 -1.167 5.643 -1.400 1940 4 11.500 -1.230 0 0 11.500 -1.230 11.425 -1.403 1940 5 15.778 -1.858 0 0 15.778 -1.858 15.838 -1.896 1940 6 21.556 -0.156 0 0 21.556 -0.156 22.063 0.253 1940 7 22.889 -0.914 0 0 22.889 -0.914 23.389 -0.511 1940 8 25.889 2.594 0 0 25.889 2.594 23.389 -0.004 1940 9 17.556 -2.377 0 0 17.556 -2.377 18.573 -1.457 1940 10 13.611 0.493 0 0 13.611 0.493 13.904 0.687 1940 11 6.667 -0.469 0 0 6.667 -0.469 7.331 0.097 1940 12 5.333 3.033 0 0 5.333 3.033 5.376 2.977 1941 1 1.778 1.565 0 0 1.778 1.565 1.014 0.703 1941 2 -0.444 -2.286 0 0 -0.444 -2.286 -1.045 -2.985 1941 3 3.722 -3.223 0 0 3.722 -3.223 3.430 -3.613 1941 4 14.278 1.548 0 0 14.278 1.548 14.755 1.927 1941 5 17.889 0.253 0 0 17.889 0.253 18.298 0.564 1941 6 22.056 0.344 0 0 22.056 0.344 22.541 0.731 1941 7 24.556 0.753 0 0 24.556 0.753 24.656 0.756 1941 8 NaN NaN NaN NaN NaN NaN 23.693 0.300 1941 9 19.762 -0.171 1 0 NaN NaN 22.006 1.976 1941 10 16.889 3.770 0 0 16.889 3.770 16.496 3.279 1941 11 NaN NaN NaN NaN NaN NaN 7.441 0.207 1941 12 NaN NaN NaN NaN NaN NaN 5.051 2.653 1942 1 NaN NaN NaN NaN NaN NaN -0.799 -1.110 1942 2 NaN NaN NaN NaN NaN NaN -0.930 -2.869 1942 3 NaN NaN NaN NaN NaN NaN 8.270 1.227 1942 4 NaN NaN NaN NaN NaN NaN 13.885 1.057 1942 5 NaN NaN NaN NaN NaN NaN 17.654 -0.080 1942 6 NaN NaN NaN NaN NaN NaN 22.926 1.116 1942 7 NaN NaN NaN NaN NaN NaN 24.318 0.418 1942 8 NaN NaN NaN NaN NaN NaN 22.829 -0.564 1942 9 NaN NaN NaN NaN NaN NaN 19.696 -0.335 1942 10 NaN NaN NaN NaN NaN NaN 13.747 0.530