% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 136719 % Primary Name: MOENCHENGLADBACH % Record Type: TAVG % Country: Germany % Latitude: 51.23300 +/- 0.00050 % Longitude: 6.50000 +/- 0.00050 % Elevation (m): 38.00 +/- 0.05 % # of Months: 49 % % IDs: gsod - 104030-99999 % usaf - 104030 % % Sources: Global Summary of the Day % % Site Hash: 80cddca7e623f278a2b3eac704421098 % Raw Data Hash: cd37f8dc968c563c336345c0b7f756f1 % Adj Data Hash: 2c5b487fe2eca28f362dd8d4fb91205f % % 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 10 NaN NaN NaN NaN NaN NaN 10.387 0.764 1937 11 NaN NaN NaN NaN NaN NaN 4.050 -0.839 1937 12 NaN NaN NaN NaN NaN NaN 0.846 -1.037 1938 1 NaN NaN NaN NaN NaN NaN 2.775 2.071 1938 2 NaN NaN NaN NaN NaN NaN 1.896 0.260 1938 3 NaN NaN NaN NaN NaN NaN 8.276 3.591 1938 4 NaN NaN NaN NaN NaN NaN 5.386 -2.618 1938 5 NaN NaN NaN NaN NaN NaN 10.866 -1.565 1938 6 NaN NaN NaN NaN NaN NaN 16.224 0.606 1938 7 NaN NaN NaN NaN NaN NaN 16.500 -0.616 1938 8 NaN NaN NaN NaN NaN NaN 17.531 0.731 1938 9 NaN NaN NaN NaN NaN NaN 14.801 0.724 1938 10 9.001 -1.853 1 0 NaN NaN 9.228 -0.396 1938 11 9.183 3.063 1 0 NaN NaN 8.089 3.200 1938 12 6.914 3.800 1 0 NaN NaN -0.229 -2.112 1939 1 5.161 3.227 1 0 NaN NaN 3.818 3.115 1939 2 3.491 0.625 1 0 NaN NaN 2.604 0.968 1939 3 5.800 -0.116 1 0 NaN NaN 3.656 -1.029 1939 4 12.395 3.161 1 0 NaN NaN 8.894 0.890 1939 5 13.441 -0.220 1 0 NaN NaN 11.234 -1.197 1939 6 18.680 1.832 1 0 NaN NaN 16.559 0.941 1939 7 18.685 0.338 1 0 NaN NaN 16.745 -0.372 1939 8 18.384 0.353 1 0 NaN NaN 17.465 0.665 1939 9 15.439 0.131 0 0 15.439 0.131 13.965 -0.112 1939 10 8.471 -2.383 0 0 8.471 -2.383 7.592 -2.031 1939 11 8.004 1.884 0 0 8.004 1.884 7.047 2.158 1939 12 1.210 -1.905 0 0 1.210 -1.905 0.272 -1.612 1940 1 -6.027 -7.961 0 0 -6.027 -7.961 -6.794 -7.498 1940 2 -0.268 -3.134 1 0 NaN NaN -0.786 -2.422 1940 3 6.004 0.088 0 0 6.004 0.088 5.037 0.351 1940 4 10.211 0.977 0 0 10.211 0.977 8.275 0.271 1940 5 14.747 1.086 0 0 14.747 1.086 12.989 0.558 1940 6 17.978 1.130 0 0 17.978 1.130 16.591 0.973 1940 7 17.346 -1.001 0 0 17.346 -1.001 15.711 -1.405 1940 8 16.670 -1.360 0 0 16.670 -1.360 14.834 -1.966 1940 9 14.076 -1.232 0 0 14.076 -1.232 13.079 -0.999 1940 10 9.373 -1.481 0 0 9.373 -1.481 8.429 -1.195 1940 11 7.115 0.995 0 0 7.115 0.995 6.278 1.389 1940 12 0.156 -2.958 0 0 0.156 -2.958 -0.988 -2.872 1941 1 -2.152 -4.086 0 0 -2.152 -4.086 -3.145 -3.849 1941 2 2.319 -0.547 0 0 2.319 -0.547 1.190 -0.445 1941 3 6.090 0.174 0 0 6.090 0.174 5.431 0.746 1941 4 8.137 -1.097 0 0 8.137 -1.097 6.336 -1.668 1941 5 10.984 -2.677 0 0 10.984 -2.677 9.328 -3.103 1941 6 18.207 1.360 0 0 18.207 1.360 16.741 1.124 1941 7 20.577 2.230 0 0 20.577 2.230 18.505 1.388 1941 8 16.134 -1.896 0 0 16.134 -1.896 14.888 -1.912 1941 9 15.081 -0.226 0 0 15.081 -0.226 13.787 -0.290 1941 10 10.143 -0.711 0 0 10.143 -0.711 8.987 -0.637 1941 11 4.696 -1.423 0 0 4.696 -1.423 3.735 -1.154 1941 12 4.177 1.063 0 0 4.177 1.063 2.873 0.989 1942 1 -5.052 -6.986 0 0 -5.052 -6.986 -5.809 -6.513 1942 2 -3.927 -6.793 0 0 -3.927 -6.793 -4.869 -6.505 1942 3 4.685 -1.231 0 0 4.685 -1.231 4.314 -0.372 1942 4 10.374 1.140 0 0 10.374 1.140 8.814 0.810 1942 5 13.456 -0.206 0 0 13.456 -0.206 12.235 -0.196 1942 6 16.141 -0.707 0 0 16.141 -0.707 14.780 -0.838 1942 7 17.194 -1.154 0 0 17.194 -1.154 16.017 -1.099 1942 8 19.701 1.670 0 0 19.701 1.670 17.899 1.099 1942 9 16.674 1.366 0 0 16.674 1.366 15.394 1.317 1942 10 12.789 1.934 0 0 12.789 1.934 11.928 2.304 1942 11 NaN NaN NaN NaN NaN NaN 4.274 -0.615 1942 12 NaN NaN NaN NaN NaN NaN 3.389 1.506 1943 1 NaN NaN NaN NaN NaN NaN 1.975 1.271 1943 2 NaN NaN NaN NaN NaN NaN 3.598 1.962 1943 3 NaN NaN NaN NaN NaN NaN 6.524 1.838 1943 4 NaN NaN NaN NaN NaN NaN 9.831 1.827 1943 5 NaN NaN NaN NaN NaN NaN 13.386 0.955 1943 6 NaN NaN NaN NaN NaN NaN 14.283 -1.334 1943 7 NaN NaN NaN NaN NaN NaN 17.639 0.522 1943 8 NaN NaN NaN NaN NaN NaN 17.700 0.900 1943 9 NaN NaN NaN NaN NaN NaN 13.742 -0.335 1943 10 NaN NaN NaN NaN NaN NaN 10.805 1.181