% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36916 % Primary Name: ATLANTIC IOWA CAA % Record Type: TAVG % Country: United States % State: IA % Latitude: 41.45000 +/- 0.00050 % Longitude: -95.06600 +/- 0.00050 % Elevation (m): 353.00 +/- 0.05 % # of Months: 32 % % IDs: gsod - 749113-99999 % icao - AIO % usaf - 749113 % % Sources: Global Summary of the Day % % Site Hash: 675e4972a3d8a123f625bd1c69c95fdb % Raw Data Hash: 8008cd08f36bb1b612f248b652e7b7ab % Adj Data Hash: 073a8a01ffac28e4e3c182130a8e8285 % % 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 1947 6 NaN NaN NaN NaN NaN NaN 20.260 -2.018 1947 7 NaN NaN NaN NaN NaN NaN 23.765 -1.080 1947 8 NaN NaN NaN NaN NaN NaN 27.868 4.270 1947 9 NaN NaN NaN NaN NaN NaN 20.488 1.897 1947 10 NaN NaN NaN NaN NaN NaN 17.655 5.375 1947 11 NaN NaN NaN NaN NaN NaN 1.668 -2.221 1947 12 NaN NaN NaN NaN NaN NaN -1.588 1.249 1948 1 NaN NaN NaN NaN NaN NaN -7.547 -1.003 1948 2 NaN NaN NaN NaN NaN NaN -3.877 -1.077 1948 3 NaN NaN NaN NaN NaN NaN -0.403 -3.194 1948 4 NaN NaN NaN NaN NaN NaN 13.962 3.147 1948 5 NaN NaN NaN NaN NaN NaN 16.671 -0.401 1948 6 22.950 2.024 1 0 NaN NaN 21.723 -0.554 1948 7 23.760 0.266 0 0 23.760 0.266 24.901 0.056 1948 8 22.925 0.678 0 0 22.925 0.678 24.183 0.586 1948 9 19.130 1.889 0 0 19.130 1.889 20.334 1.743 1948 10 9.477 -1.453 0 0 9.477 -1.453 11.947 -0.334 1948 11 3.685 1.147 0 0 3.685 1.147 4.475 0.586 1948 12 -3.301 0.886 0 0 -3.301 0.886 -2.539 0.298 1949 1 -8.450 -0.556 0 0 -8.450 -0.556 -9.129 -2.585 1949 2 -6.925 -2.773 0 0 -6.925 -2.773 -5.889 -3.089 1949 3 1.262 -0.179 0 0 1.262 -0.179 1.935 -0.856 1949 4 9.311 -0.153 0 0 9.311 -0.153 11.148 0.334 1949 5 17.217 1.495 0 0 17.217 1.495 18.332 1.259 1949 6 21.894 0.968 0 0 21.894 0.968 23.038 0.761 1949 7 23.964 0.470 0 0 23.964 0.470 25.074 0.229 1949 8 21.624 -0.623 0 0 21.624 -0.623 23.078 -0.519 1949 9 14.167 -3.074 0 0 14.167 -3.074 15.601 -2.990 1949 10 12.210 1.280 0 0 12.210 1.280 14.172 1.892 1949 11 4.596 2.058 0 0 4.596 2.058 7.107 3.218 1949 12 -2.667 1.521 0 0 -2.667 1.521 -1.593 1.243 1950 1 -7.849 0.045 0 0 -7.849 0.045 -7.774 -1.231 1950 2 -4.921 -0.769 0 0 -4.921 -0.769 -2.769 0.031 1950 3 -0.351 -1.792 0 0 -0.351 -1.792 0.620 -2.171 1950 4 6.091 -3.373 0 0 6.091 -3.373 8.150 -2.664 1950 5 15.086 -0.636 0 0 15.086 -0.636 16.374 -0.699 1950 6 20.085 -0.841 0 0 20.085 -0.841 21.595 -0.682 1950 7 20.323 -3.172 0 0 20.323 -3.172 21.472 -3.373 1950 8 19.106 -3.141 0 0 19.106 -3.141 20.644 -2.954 1950 9 15.874 -1.366 0 0 15.874 -1.366 17.267 -1.324 1950 10 12.771 1.841 0 0 12.771 1.841 15.195 2.915 1950 11 0.367 -2.172 0 0 0.367 -2.172 2.024 -1.865 1950 12 -5.801 -1.614 0 0 -5.801 -1.614 -3.792 -0.956 1951 1 6.921 14.815 1 0 NaN NaN -6.621 -0.078 1951 2 NaN NaN NaN NaN NaN NaN -1.788 1.012 1951 3 NaN NaN NaN NaN NaN NaN -1.050 -3.841 1951 4 NaN NaN NaN NaN NaN NaN 8.010 -2.804 1951 5 NaN NaN NaN NaN NaN NaN 17.005 -0.067 1951 6 NaN NaN NaN NaN NaN NaN 19.101 -3.177 1951 7 NaN NaN NaN NaN NaN NaN 23.261 -1.584 1951 8 NaN NaN NaN NaN NaN NaN 23.109 -0.488 1951 9 NaN NaN NaN NaN NaN NaN 15.926 -2.665 1951 10 NaN NaN NaN NaN NaN NaN 11.959 -0.321 1951 11 NaN NaN NaN NaN NaN NaN 1.023 -2.866 1951 12 NaN NaN NaN NaN NaN NaN -5.632 -2.796 1952 1 NaN NaN NaN NaN NaN NaN -5.495 1.048