% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 19770 % Primary Name: BIALOGORA % Record Type: TAVG % Country: Poland % Latitude: 54.83300 +/- 0.00050 % Longitude: 17.93300 +/- 0.00050 % Elevation (m): 30.00 +/- 0.05 % # of Months: 17 % % IDs: gsod - 121390-99999 % usaf - 121390 % % Sources: Global Summary of the Day % % Site Hash: 0d3d563f00213ffe793a659827b3606d % Raw Data Hash: 65dd3495afadcb4400b271239f96968e % Adj Data Hash: fd7e7d2ae7813632e2797b09c4e3ac70 % % 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 2005 12 NaN NaN NaN NaN NaN NaN 3.762 0.905 2006 1 NaN NaN NaN NaN NaN NaN -1.688 -1.674 2006 2 NaN NaN NaN NaN NaN NaN -0.835 0.192 2006 3 NaN NaN NaN NaN NaN NaN -1.060 -1.974 2006 4 NaN NaN NaN NaN NaN NaN 4.913 0.647 2006 5 NaN NaN NaN NaN NaN NaN 9.480 1.039 2006 6 NaN NaN NaN NaN NaN NaN 14.337 1.233 2006 7 NaN NaN NaN NaN NaN NaN 19.516 3.860 2006 8 NaN NaN NaN NaN NaN NaN 17.373 1.241 2006 9 NaN NaN NaN NaN NaN NaN 16.426 2.967 2006 10 NaN NaN NaN NaN NaN NaN 13.044 3.286 2006 11 NaN NaN NaN NaN NaN NaN 9.274 3.037 2006 12 6.885 3.722 1 0 NaN NaN 8.619 5.763 2007 1 NaN NaN NaN NaN NaN NaN 5.477 5.490 2007 2 NaN NaN NaN NaN NaN NaN 0.456 1.482 2007 3 NaN NaN NaN NaN NaN NaN 5.500 4.587 2007 4 NaN NaN NaN NaN NaN NaN 6.782 2.516 2007 5 NaN NaN NaN NaN NaN NaN 10.802 2.361 2007 6 NaN NaN NaN NaN NaN NaN 15.360 2.256 2007 7 17.172 1.209 0 0 17.172 1.209 15.342 -0.314 2007 8 17.889 1.450 0 0 17.889 1.450 17.247 1.115 2007 9 13.840 0.074 0 0 13.840 0.074 13.260 -0.199 2007 10 10.070 0.006 1 0 NaN NaN 9.865 0.107 2007 11 4.313 -2.231 0 0 4.313 -2.231 6.229 -0.008 2007 12 3.298 0.135 0 0 3.298 0.135 5.477 2.620 2008 1 3.158 2.865 1 0 NaN NaN 4.181 4.195 2008 2 3.793 4.513 1 0 NaN NaN 4.394 5.420 2008 3 4.971 3.752 1 0 NaN NaN 3.278 2.365 2008 4 7.306 2.733 1 0 NaN NaN 6.073 1.807 2008 5 11.165 2.418 0 0 11.165 2.418 9.905 1.464 2008 6 15.023 1.613 0 0 15.023 1.613 13.976 0.871 2008 7 17.362 1.400 1 0 NaN NaN 16.362 0.706 2008 8 17.676 1.237 0 0 17.676 1.237 16.728 0.595 2008 9 13.676 -0.089 0 0 13.676 -0.089 13.131 -0.328 2008 10 11.656 1.592 1 0 NaN NaN 10.907 1.149 2008 11 NaN NaN NaN NaN NaN NaN 7.830 1.593 2008 12 NaN NaN NaN NaN NaN NaN 4.806 1.949 2009 1 NaN NaN NaN NaN NaN NaN 1.396 1.409 2009 2 NaN NaN NaN NaN NaN NaN -0.055 0.972 2009 3 NaN NaN NaN NaN NaN NaN 2.478 1.565 2009 4 NaN NaN NaN NaN NaN NaN 7.432 3.165 2009 5 NaN NaN NaN NaN NaN NaN 9.453 1.012 2009 6 NaN NaN NaN NaN NaN NaN 12.514 -0.590 2009 7 NaN NaN NaN NaN NaN NaN 16.788 1.132 2009 8 NaN NaN NaN NaN NaN NaN 17.445 1.312 2009 9 NaN NaN NaN NaN NaN NaN 14.716 1.257 2009 10 NaN NaN NaN NaN NaN NaN 8.344 -1.415