% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 14180 % Primary Name: OBERPFAFFENHOFEN GERMANY AD % Record Type: TAVG % Country: Germany % Latitude: 48.08300 +/- 0.00050 % Longitude: 11.26600 +/- 0.00050 % Elevation (m): 580.00 +/- 0.05 % # of Months: 36 % % IDs: gsod - 749538-99999 % usaf - 749538 % % Sources: Global Summary of the Day % % Site Hash: dcc6ea4c98ede90a85053dff6d882e14 % Raw Data Hash: beaf6ec3ff03695700332a0ff2892d2a % Adj Data Hash: d952a206f9f2bf017144b3742d250601 % % 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 1945 8 NaN NaN NaN NaN NaN NaN 13.081 -0.284 1945 9 NaN NaN NaN NaN NaN NaN 10.771 0.199 1945 10 NaN NaN NaN NaN NaN NaN 5.494 -0.056 1945 11 NaN NaN NaN NaN NaN NaN -0.640 -1.046 1945 12 NaN NaN NaN NaN NaN NaN -3.055 0.535 1946 1 NaN NaN NaN NaN NaN NaN -5.546 -0.817 1946 2 NaN NaN NaN NaN NaN NaN -1.312 1.894 1946 3 NaN NaN NaN NaN NaN NaN 1.875 1.515 1946 4 NaN NaN NaN NaN NaN NaN 6.911 2.803 1946 5 NaN NaN NaN NaN NaN NaN 10.673 1.849 1946 6 NaN NaN NaN NaN NaN NaN 11.469 -0.749 1946 7 NaN NaN NaN NaN NaN NaN 15.101 1.144 1946 8 15.683 -0.500 1 0 NaN NaN 13.511 0.146 1946 9 14.815 1.425 0 0 14.815 1.425 11.578 1.006 1946 10 6.843 -1.524 0 0 6.843 -1.524 4.156 -1.394 1946 11 2.422 -0.801 0 0 2.422 -0.801 0.271 -0.135 1946 12 -3.170 -2.397 0 0 -3.170 -2.397 -5.833 -2.243 1947 1 -6.095 -4.184 0 0 -6.095 -4.184 -8.323 -3.594 1947 2 -5.258 -4.869 0 0 -5.258 -4.869 -6.652 -3.446 1947 3 4.547 1.370 0 0 4.547 1.370 1.675 1.316 1947 4 10.196 3.271 1 0 NaN NaN 6.680 2.572 1947 5 14.068 2.427 0 0 14.068 2.427 11.099 2.275 1947 6 16.889 1.853 0 0 16.889 1.853 14.001 1.783 1947 7 18.733 1.959 0 0 18.733 1.959 15.839 1.882 1947 8 18.403 2.221 0 0 18.403 2.221 15.509 2.144 1947 9 16.722 3.333 0 0 16.722 3.333 13.238 2.666 1947 10 7.077 -1.290 0 0 7.077 -1.290 5.321 -0.229 1947 11 5.389 2.166 0 0 5.389 2.166 2.165 1.759 1947 12 0.283 1.056 0 0 0.283 1.056 -3.367 0.223 1948 1 2.731 4.643 0 0 2.731 4.643 -0.868 3.861 1948 2 0.125 0.513 0 0 0.125 0.513 -2.933 0.273 1948 3 5.604 2.427 0 0 5.604 2.427 3.668 3.309 1948 4 9.174 2.249 0 0 9.174 2.249 5.513 1.405 1948 5 14.211 2.570 0 0 14.211 2.570 10.486 1.662 1948 6 14.659 -0.377 0 0 14.659 -0.377 11.238 -0.981 1948 7 15.009 -1.765 0 0 15.009 -1.765 11.691 -2.266 1948 8 16.400 0.217 0 0 16.400 0.217 13.293 -0.072 1948 9 13.439 0.049 0 0 13.439 0.049 10.686 0.114 1948 10 8.841 0.473 0 0 8.841 0.473 6.328 0.778 1948 11 3.413 0.190 0 0 3.413 0.190 1.474 1.068 1948 12 -1.527 -0.754 0 0 -1.527 -0.754 -3.786 -0.196 1949 1 -0.518 1.394 0 0 -0.518 1.394 -3.316 1.413 1949 2 -0.417 -0.028 0 0 -0.417 -0.028 -2.611 0.595 1949 3 0.948 -2.229 0 0 0.948 -2.229 -1.513 -1.872 1949 4 10.306 3.380 1 0 NaN NaN 7.167 3.058 1949 5 11.529 -0.113 0 0 11.529 -0.113 8.272 -0.552 1949 6 14.311 -0.725 0 0 14.311 -0.725 11.413 -0.805 1949 7 17.803 1.029 0 0 17.803 1.029 14.718 0.762 1949 8 NaN NaN NaN NaN NaN NaN 13.781 0.416 1949 9 NaN NaN NaN NaN NaN NaN 13.226 2.653 1949 10 NaN NaN NaN NaN NaN NaN 7.774 2.225 1949 11 NaN NaN NaN NaN NaN NaN 0.028 -0.378 1949 12 NaN NaN NaN NaN NaN NaN -1.442 2.148 1950 1 NaN NaN NaN NaN NaN NaN -4.925 -0.196 1950 2 NaN NaN NaN NaN NaN NaN -0.526 2.680 1950 3 NaN NaN NaN NaN NaN NaN 2.089 1.729 1950 4 NaN NaN NaN NaN NaN NaN 3.073 -1.035 1950 5 NaN NaN NaN NaN NaN NaN 10.807 1.983 1950 6 NaN NaN NaN NaN NaN NaN 14.803 2.584 1950 7 NaN NaN NaN NaN NaN NaN 16.226 2.270