% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 22921 % Primary Name: BURGOS-IN-CASTILLA % Record Type: TAVG % Country: Spain % Latitude: 42.33300 +/- 0.00050 % Longitude: -3.70000 +/- 0.00050 % Elevation (m): 854.00 +/- 0.05 % # of Months: 34 % % IDs: gsod - 080760-99999 % usaf - 80760 % % Sources: Global Summary of the Day % % Site Hash: 693f534735ba255ba3d8d9eb0ceb432b % Raw Data Hash: bdf0f0d31726073a22056ba07e2b45a5 % Adj Data Hash: c384d4fcaeca19e832ec01345ba0abe6 % % 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 1972 1 NaN NaN NaN NaN NaN NaN 2.281 -1.179 1972 2 NaN NaN NaN NaN NaN NaN 4.711 -0.014 1972 3 NaN NaN NaN NaN NaN NaN 6.967 -0.046 1972 4 NaN NaN NaN NaN NaN NaN 7.895 -0.916 1972 5 NaN NaN NaN NaN NaN NaN 10.845 -1.600 1972 6 NaN NaN NaN NaN NaN NaN 14.260 -1.667 1972 7 NaN NaN NaN NaN NaN NaN 18.462 -0.397 1972 8 NaN NaN NaN NaN NaN NaN 16.985 -1.760 1972 9 NaN NaN NaN NaN NaN NaN 13.701 -2.523 1972 10 NaN NaN NaN NaN NaN NaN 10.866 -0.678 1972 11 NaN NaN NaN NaN NaN NaN 7.749 1.032 1972 12 NaN NaN NaN NaN NaN NaN 4.394 0.488 1973 1 2.671 -1.579 1 0 NaN NaN 3.081 -0.378 1973 2 2.292 -3.223 1 0 NaN NaN 3.612 -1.113 1973 3 5.578 -2.225 1 0 NaN NaN 5.857 -1.156 1973 4 8.696 -0.904 1 0 NaN NaN 7.809 -1.002 1973 5 13.842 0.606 0 0 13.842 0.606 12.946 0.500 1973 6 16.902 0.185 0 0 16.902 0.185 15.654 -0.272 1973 7 19.136 -0.513 1 0 NaN NaN 18.154 -0.705 1973 8 22.265 2.730 0 0 22.265 2.730 20.457 1.711 1973 9 17.579 0.565 1 0 NaN NaN 16.530 0.306 1973 10 9.958 -2.376 1 0 NaN NaN 10.870 -0.674 1973 11 6.561 -0.947 1 0 NaN NaN 6.564 -0.153 1973 12 2.659 -2.037 1 0 NaN NaN 3.369 -0.537 1974 1 3.337 -0.913 1 0 NaN NaN 5.384 1.924 1974 2 4.346 -1.169 1 0 NaN NaN 4.405 -0.320 1974 3 6.108 -1.695 1 0 NaN NaN 6.733 -0.280 1974 4 7.998 -1.603 0 0 7.998 -1.603 7.717 -1.093 1974 5 13.175 -0.061 1 0 NaN NaN 12.498 0.053 1974 6 16.673 -0.044 1 0 NaN NaN 15.810 -0.116 1974 7 19.601 -0.047 0 0 19.601 -0.047 18.419 -0.440 1974 8 19.404 -0.131 1 0 NaN NaN 18.177 -0.568 1974 9 15.826 -1.187 0 0 15.826 -1.187 15.072 -1.152 1974 10 7.756 -4.577 0 0 7.756 -4.577 8.129 -3.415 1974 11 7.800 0.292 1 0 NaN NaN 7.045 0.328 1974 12 4.474 -0.222 0 0 4.474 -0.222 4.211 0.305 1975 1 5.399 1.149 0 0 5.399 1.149 5.287 1.828 1975 2 6.129 0.614 0 0 6.129 0.614 6.098 1.373 1975 3 4.802 -3.001 1 0 NaN NaN 5.064 -1.949 1975 4 9.046 -0.555 0 0 9.046 -0.555 8.262 -0.548 1975 5 11.693 -1.542 0 0 11.693 -1.542 11.061 -1.384 1975 6 17.188 0.471 0 0 17.188 0.471 15.931 0.004 1975 7 22.656 3.007 0 0 22.656 3.007 19.962 1.103 1975 8 19.910 0.375 1 0 NaN NaN 19.181 0.435 1975 9 16.402 -0.612 1 0 NaN NaN 15.373 -0.851 1975 10 12.622 0.288 0 0 12.622 0.288 12.342 0.799 1975 11 NaN NaN NaN NaN NaN NaN 6.171 -0.547 1975 12 NaN NaN NaN NaN NaN NaN 1.699 -2.207 1976 1 NaN NaN NaN NaN NaN NaN 2.939 -0.520 1976 2 NaN NaN NaN NaN NaN NaN 5.339 0.614 1976 3 NaN NaN NaN NaN NaN NaN 7.171 0.158 1976 4 NaN NaN NaN NaN NaN NaN 7.429 -1.382 1976 5 NaN NaN NaN NaN NaN NaN 13.785 1.340 1976 6 NaN NaN NaN NaN NaN NaN 18.453 2.526 1976 7 NaN NaN NaN NaN NaN NaN 19.288 0.429 1976 8 NaN NaN NaN NaN NaN NaN 18.754 0.008 1976 9 NaN NaN NaN NaN NaN NaN 14.774 -1.449 1976 10 NaN NaN NaN NaN NaN NaN 10.378 -1.166