% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 14274 % Primary Name: HERZO BASE (USA-HP) % Record Type: TAVG % Country: Germany % Latitude: 49.58300 +/- 0.00050 % Longitude: 10.91700 +/- 0.00050 % Elevation (m): 329.00 +/- 0.05 % # of Months: 36 % % IDs: gsod - 106874-99999 % usaf - 106874 % % Sources: Global Summary of the Day % % Site Hash: 619924fe722dbfc4f82791536e7a15cc % Raw Data Hash: 12515f50a71f094b65d65407266901de % Adj Data Hash: adb351dcb62194a52b1bfa88c575c76b % % 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 1940 1 NaN NaN NaN NaN NaN NaN -8.794 -8.117 1940 2 NaN NaN NaN NaN NaN NaN -1.904 -2.747 1940 3 NaN NaN NaN NaN NaN NaN 4.363 -0.151 1940 4 NaN NaN NaN NaN NaN NaN 8.884 0.469 1940 5 NaN NaN NaN NaN NaN NaN 12.968 0.023 1940 6 NaN NaN NaN NaN NaN NaN 16.761 0.411 1940 7 NaN NaN NaN NaN NaN NaN 16.780 -1.207 1940 8 NaN NaN NaN NaN NaN NaN 15.219 -2.240 1940 9 NaN NaN NaN NaN NaN NaN 13.960 -0.351 1940 10 NaN NaN NaN NaN NaN NaN 8.244 -0.859 1940 11 NaN NaN NaN NaN NaN NaN 5.736 1.676 1940 12 NaN NaN NaN NaN NaN NaN -3.631 -4.140 1941 1 -6.370 -6.139 1 0 NaN NaN -4.983 -4.306 1941 2 -0.888 -2.178 1 0 NaN NaN 1.026 0.183 1941 3 4.736 -0.225 1 0 NaN NaN 5.192 0.678 1941 4 7.472 -1.390 1 0 NaN NaN 6.243 -2.172 1941 5 11.089 -2.302 1 0 NaN NaN 9.571 -3.374 1941 6 18.330 1.533 0 0 18.330 1.533 16.778 0.428 1941 7 19.787 1.353 0 0 19.787 1.353 18.657 0.670 1941 8 16.808 -1.098 1 0 NaN NaN 15.920 -1.539 1941 9 13.845 -0.912 0 0 13.845 -0.912 12.845 -1.465 1941 10 8.371 -1.178 0 0 8.371 -1.178 8.357 -0.746 1941 11 1.874 -2.633 0 0 1.874 -2.633 2.389 -1.672 1941 12 0.549 -0.406 0 0 0.549 -0.406 0.962 0.453 1942 1 -8.920 -8.689 0 0 -8.920 -8.689 -8.068 -7.391 1942 2 -5.002 -6.292 0 0 -5.002 -6.292 -5.140 -5.983 1942 3 3.115 -1.846 0 0 3.115 -1.846 3.952 -0.563 1942 4 9.347 0.485 0 0 9.347 0.485 8.583 0.168 1942 5 14.041 0.649 0 0 14.041 0.649 13.010 0.065 1942 6 16.372 -0.424 0 0 16.372 -0.424 15.302 -1.047 1942 7 17.956 -0.477 0 0 17.956 -0.477 17.049 -0.937 1942 8 18.674 0.769 0 0 18.674 0.769 17.963 0.504 1942 9 17.587 2.830 0 0 17.587 2.830 16.636 2.325 1942 10 12.628 3.078 0 0 12.628 3.078 12.189 3.086 1942 11 3.267 -1.240 0 0 3.267 -1.240 3.022 -1.038 1942 12 1.006 0.050 0 0 1.006 0.050 1.226 0.717 1943 1 -1.501 -1.270 1 0 NaN NaN -0.317 0.361 1943 2 3.030 1.741 1 0 NaN NaN 3.198 2.355 1943 3 8.142 3.181 0 0 8.142 3.181 7.027 2.513 1943 4 10.904 2.042 0 0 10.904 2.042 9.889 1.474 1943 5 15.246 1.855 0 0 15.246 1.855 13.433 0.488 1943 6 14.620 -2.176 0 0 14.620 -2.176 14.708 -1.642 1943 7 17.975 -0.458 0 0 17.975 -0.458 18.134 0.147 1943 8 18.987 1.082 0 0 18.987 1.082 19.064 1.605 1943 9 15.631 0.874 0 0 15.631 0.874 14.903 0.592 1943 10 10.815 1.266 0 0 10.815 1.266 10.417 1.314 1943 11 2.981 -1.526 0 0 2.981 -1.526 2.788 -1.273 1943 12 -0.134 -1.090 1 0 NaN NaN 0.388 -0.121 1944 1 NaN NaN NaN NaN NaN NaN 2.627 3.305 1944 2 NaN NaN NaN NaN NaN NaN -1.469 -2.312 1944 3 NaN NaN NaN NaN NaN NaN 1.582 -2.933 1944 4 NaN NaN NaN NaN NaN NaN 9.382 0.967 1944 5 NaN NaN NaN NaN NaN NaN 12.239 -0.706 1944 6 NaN NaN NaN NaN NaN NaN 14.887 -1.463 1944 7 NaN NaN NaN NaN NaN NaN 17.623 -0.364 1944 8 NaN NaN NaN NaN NaN NaN 20.440 2.981 1944 9 NaN NaN NaN NaN NaN NaN 13.523 -0.788 1944 10 NaN NaN NaN NaN NaN NaN 9.003 -0.100 1944 11 NaN NaN NaN NaN NaN NaN 4.103 0.043 1944 12 NaN NaN NaN NaN NaN NaN -0.352 -0.861