% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 132956 % Primary Name: VOESLAU-FLUGFELD % Record Type: TAVG % Country: Austria % Latitude: 47.96700 +/- 0.00050 % Longitude: 16.26700 +/- 0.00050 % Elevation (m): 233.00 +/- 0.05 % # of Months: 35 % % IDs: gsod - 111810-99999 % usaf - 111810 % % Sources: Global Summary of the Day % % Site Hash: d5849dcec69effe55b30046b31d956c8 % Raw Data Hash: e13d7b2376b64d82a7b04f2da7b2a30c % Adj Data Hash: fb33470296ec26d51dee8b5d73e9ced4 % % 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 2 NaN NaN NaN NaN NaN NaN -5.734 -4.307 1940 3 NaN NaN NaN NaN NaN NaN 1.218 -1.263 1940 4 NaN NaN NaN NaN NaN NaN 7.241 0.129 1940 5 NaN NaN NaN NaN NaN NaN 10.473 -1.454 1940 6 NaN NaN NaN NaN NaN NaN 15.215 -0.305 1940 7 NaN NaN NaN NaN NaN NaN 15.742 -1.138 1940 8 NaN NaN NaN NaN NaN NaN 13.882 -2.396 1940 9 NaN NaN NaN NaN NaN NaN 12.644 -0.279 1940 10 NaN NaN NaN NaN NaN NaN 7.354 -0.240 1940 11 NaN NaN NaN NaN NaN NaN 4.457 2.094 1940 12 NaN NaN NaN NaN NaN NaN -6.632 -4.465 1941 1 NaN NaN NaN NaN NaN NaN -5.983 -2.300 1941 2 1.550 0.313 0 0 1.550 0.313 -1.174 0.253 1941 3 5.616 0.470 0 0 5.616 0.470 3.109 0.629 1941 4 6.913 -2.864 1 0 NaN NaN 5.822 -1.289 1941 5 11.933 -2.660 0 0 11.933 -2.660 9.135 -2.792 1941 6 18.372 0.187 0 0 18.372 0.187 15.451 -0.069 1941 7 18.699 -0.847 1 0 NaN NaN 16.698 -0.183 1941 8 18.511 -0.433 1 0 NaN NaN 15.238 -1.040 1941 9 13.698 -1.889 1 0 NaN NaN 10.975 -1.948 1941 10 10.767 0.508 1 0 NaN NaN 6.724 -0.870 1941 11 1.417 -3.611 1 0 NaN NaN -0.089 -2.452 1941 12 2.021 1.523 0 0 2.021 1.523 -1.898 0.269 1942 1 -9.833 -8.816 0 0 -9.833 -8.816 -10.644 -6.962 1942 2 -3.705 -4.942 0 0 -3.705 -4.942 -5.123 -3.695 1942 3 2.920 -2.225 1 0 NaN NaN 1.092 -1.388 1942 4 7.704 -2.073 0 0 7.704 -2.073 5.691 -1.420 1942 5 14.062 -0.530 1 0 NaN NaN 12.258 0.331 1942 6 17.427 -0.759 0 0 17.427 -0.759 15.090 -0.430 1942 7 17.959 -1.587 1 0 NaN NaN 15.919 -0.961 1942 8 19.031 0.087 1 0 NaN NaN 16.621 0.343 1942 9 18.898 3.310 1 0 NaN NaN 16.070 3.147 1942 10 12.516 2.257 1 0 NaN NaN 9.939 2.345 1942 11 4.353 -0.676 1 0 NaN NaN 1.746 -0.618 1942 12 2.361 1.863 0 0 2.361 1.863 -0.580 1.586 1943 1 -1.297 -0.280 1 0 NaN NaN -6.070 -2.388 1943 2 4.759 3.522 0 0 4.759 3.522 1.537 2.965 1943 3 7.783 2.637 1 0 NaN NaN 4.480 1.999 1943 4 11.289 1.512 0 0 11.289 1.512 8.328 1.217 1943 5 14.618 0.026 0 0 14.618 0.026 11.234 -0.693 1943 6 17.111 -1.074 0 0 17.111 -1.074 13.856 -1.665 1943 7 19.637 0.091 1 0 NaN NaN 16.531 -0.350 1943 8 21.164 2.221 1 0 NaN NaN 18.210 1.931 1943 9 17.896 2.308 1 0 NaN NaN 14.288 1.365 1943 10 12.767 2.507 1 0 NaN NaN 9.403 1.808 1943 11 4.002 -1.026 0 0 4.002 -1.026 1.235 -1.128 1943 12 2.519 2.020 1 0 NaN NaN -1.115 1.052 1944 1 NaN NaN NaN NaN NaN NaN -0.240 3.443 1944 2 NaN NaN NaN NaN NaN NaN -2.504 -1.077 1944 3 NaN NaN NaN NaN NaN NaN -0.338 -2.818 1944 4 NaN NaN NaN NaN NaN NaN 7.676 0.564 1944 5 NaN NaN NaN NaN NaN NaN 10.688 -1.239 1944 6 NaN NaN NaN NaN NaN NaN 13.964 -1.556 1944 7 NaN NaN NaN NaN NaN NaN 16.356 -0.525 1944 8 NaN NaN NaN NaN NaN NaN 18.469 2.191 1944 9 NaN NaN NaN NaN NaN NaN 12.232 -0.690 1944 10 NaN NaN NaN NaN NaN NaN 8.078 0.484 1944 11 NaN NaN NaN NaN NaN NaN 1.991 -0.372 1944 12 NaN NaN NaN NaN NaN NaN -3.046 -0.880