% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 16066 % Primary Name: ROME ITALY/CIAMPINO AB % Record Type: TAVG % Country: Italy % Latitude: 41.80000 +/- 0.05000 % Longitude: 12.60000 +/- 0.05000 % Elevation (m): 129.00 +/- 0.05 % # of Months: 31 % % IDs: gsod - 749515-99999 % usaf - 749515 % % Sources: Global Summary of the Day % % Site Hash: 3bc93ed3b78da40699e614102192d287 % Raw Data Hash: f9cc48c416a96db5ee9c01ebbdfbb926 % Adj Data Hash: a7f5858979775c73b2e33fdbd6290ff1 % % 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 1943 12 NaN NaN NaN NaN NaN NaN 12.923 1.534 1944 1 NaN NaN NaN NaN NaN NaN 9.952 -0.071 1944 2 NaN NaN NaN NaN NaN NaN 8.555 -1.604 1944 3 NaN NaN NaN NaN NaN NaN 8.910 -2.304 1944 4 NaN NaN NaN NaN NaN NaN 13.649 0.495 1944 5 NaN NaN NaN NaN NaN NaN 17.292 0.415 1944 6 NaN NaN NaN NaN NaN NaN 20.586 0.037 1944 7 NaN NaN NaN NaN NaN NaN 22.954 -0.306 1944 8 NaN NaN NaN NaN NaN NaN 25.016 1.148 1944 9 NaN NaN NaN NaN NaN NaN 21.979 0.343 1944 10 NaN NaN NaN NaN NaN NaN 16.786 -0.850 1944 11 NaN NaN NaN NaN NaN NaN 13.740 -0.484 1944 12 6.928 -3.949 1 0 NaN NaN 11.259 -0.130 1945 1 4.948 -4.562 0 0 4.948 -4.562 7.720 -2.303 1945 2 7.859 -1.788 0 0 7.859 -1.788 9.994 -0.166 1945 3 10.283 -0.418 0 0 10.283 -0.418 11.303 0.089 1945 4 14.626 1.985 0 0 14.626 1.985 14.593 1.440 1945 5 20.319 3.954 0 0 20.319 3.954 19.278 2.401 1945 6 24.452 4.415 0 0 24.452 4.415 22.915 2.366 1945 7 26.254 3.507 0 0 26.254 3.507 24.716 1.456 1945 8 25.016 1.661 0 0 25.016 1.661 24.741 0.874 1945 9 20.644 -0.479 0 0 20.644 -0.479 21.441 -0.195 1945 10 15.532 -1.591 0 0 15.532 -1.591 16.417 -1.219 1945 11 10.378 -3.333 0 0 10.378 -3.333 13.262 -0.962 1945 12 8.613 -2.264 0 0 8.613 -2.264 11.436 0.046 1946 1 6.903 -2.607 0 0 6.903 -2.607 9.937 -0.085 1946 2 NaN NaN NaN NaN NaN NaN 10.669 0.509 1946 3 10.484 -0.218 0 0 10.484 -0.218 11.054 -0.160 1946 4 14.302 1.661 0 0 14.302 1.661 14.059 0.905 1946 5 17.855 1.490 0 0 17.855 1.490 17.359 0.482 1946 6 21.446 1.410 0 0 21.446 1.410 20.588 0.038 1946 7 24.993 2.246 0 0 24.993 2.246 23.837 0.577 1946 8 25.025 1.670 0 0 25.025 1.670 25.259 1.391 1946 9 23.607 2.484 0 0 23.607 2.484 23.706 2.069 1946 10 16.966 -0.158 0 0 16.966 -0.158 17.452 -0.184 1946 11 13.293 -0.419 0 0 13.293 -0.419 14.880 0.656 1946 12 7.263 -3.614 0 0 7.263 -3.614 9.943 -1.447 1947 1 5.708 -3.802 0 0 5.708 -3.802 8.139 -1.884 1947 2 10.111 0.464 0 0 10.111 0.464 11.600 1.440 1947 3 13.167 2.465 0 0 13.167 2.465 13.969 2.755 1947 4 14.361 1.720 0 0 14.361 1.720 14.283 1.129 1947 5 18.980 2.615 0 0 18.980 2.615 17.780 0.903 1947 6 23.180 3.143 0 0 23.180 3.143 21.851 1.302 1947 7 26.185 3.437 0 0 26.185 3.437 24.616 1.357 1947 8 NaN NaN NaN NaN NaN NaN 25.541 1.674 1947 9 NaN NaN NaN NaN NaN NaN 22.480 0.843 1947 10 NaN NaN NaN NaN NaN NaN 17.562 -0.074 1947 11 NaN NaN NaN NaN NaN NaN 15.556 1.333 1947 12 NaN NaN NaN NaN NaN NaN 10.924 -0.466 1948 1 NaN NaN NaN NaN NaN NaN 12.259 2.236 1948 2 NaN NaN NaN NaN NaN NaN 9.965 -0.195 1948 3 NaN NaN NaN NaN NaN NaN 12.259 1.045 1948 4 NaN NaN NaN NaN NaN NaN 13.817 0.664 1948 5 NaN NaN NaN NaN NaN NaN 17.794 0.917 1948 6 NaN NaN NaN NaN NaN NaN 19.613 -0.936 1948 7 NaN NaN NaN NaN NaN NaN 20.779 -2.481