% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29372 % Primary Name: FREDERICK OKLAHOMA AAF % Record Type: TAVG % Country: United States % State: OK % Latitude: 34.36600 +/- 0.00050 % Longitude: -99.00000 +/- 0.00050 % Elevation (m): 377.00 +/- 0.05 % # of Months: 31 % % IDs: gsod - 749093-99999 % icao - FDR % usaf - 749093 % % Sources: Global Summary of the Day % % Site Hash: 769f573a9e16608033d6b6d2c7ab642b % Raw Data Hash: 0881984c4b7803c15124e215b7a69a15 % Adj Data Hash: 38ecc7b6558d8b2b1982304f8f332760 % % 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 1942 4 NaN NaN NaN NaN NaN NaN 17.222 0.397 1942 5 NaN NaN NaN NaN NaN NaN 20.547 -1.030 1942 6 NaN NaN NaN NaN NaN NaN 26.555 -0.084 1942 7 NaN NaN NaN NaN NaN NaN 28.276 -0.838 1942 8 NaN NaN NaN NaN NaN NaN 27.405 -0.939 1942 9 NaN NaN NaN NaN NaN NaN 22.156 -1.759 1942 10 NaN NaN NaN NaN NaN NaN 16.826 -0.733 1942 11 NaN NaN NaN NaN NaN NaN 12.010 1.769 1942 12 NaN NaN NaN NaN NaN NaN 5.622 0.115 1943 1 NaN NaN NaN NaN NaN NaN 4.179 0.589 1943 2 NaN NaN NaN NaN NaN NaN 8.965 2.503 1943 3 NaN NaN NaN NaN NaN NaN 8.192 -2.727 1943 4 23.082 5.798 1 0 NaN NaN 18.877 2.052 1943 5 19.792 -2.244 0 0 19.792 -2.244 19.468 -2.109 1943 6 27.600 0.503 0 0 27.600 0.503 27.260 0.622 1943 7 30.608 1.035 0 0 30.608 1.035 29.676 0.562 1943 8 32.495 3.691 0 0 32.495 3.691 31.618 3.274 1943 9 24.557 0.185 0 0 24.557 0.185 23.789 -0.125 1943 10 17.783 -0.235 0 0 17.783 -0.235 16.983 -0.576 1943 11 10.754 0.054 0 0 10.754 0.054 9.928 -0.313 1943 12 4.163 -1.803 0 0 4.163 -1.803 3.832 -1.675 1944 1 5.125 1.077 0 0 5.125 1.077 4.528 0.939 1944 2 8.513 1.591 1 0 NaN NaN 7.577 1.114 1944 3 10.030 -1.347 0 0 10.030 -1.347 9.423 -1.496 1944 4 15.883 -1.401 0 0 15.883 -1.401 15.537 -1.288 1944 5 21.814 -0.222 0 0 21.814 -0.222 21.562 -0.015 1944 6 27.785 0.688 0 0 27.785 0.688 27.555 0.916 1944 7 28.842 -0.730 0 0 28.842 -0.730 28.515 -0.600 1944 8 29.787 0.984 0 0 29.787 0.984 29.236 0.891 1944 9 24.070 -0.302 0 0 24.070 -0.302 23.463 -0.452 1944 10 18.735 0.717 0 0 18.735 0.717 18.200 0.641 1944 11 12.130 1.430 0 0 12.130 1.430 11.383 1.142 1944 12 4.014 -1.951 0 0 4.014 -1.951 3.901 -1.606 1945 1 4.860 0.812 0 0 4.860 0.812 4.296 0.706 1945 2 6.652 -0.269 1 0 NaN NaN 6.018 -0.444 1945 3 13.106 1.728 0 0 13.106 1.728 12.337 1.418 1945 4 14.893 -2.391 0 0 14.893 -2.391 14.605 -2.220 1945 5 21.271 -0.765 0 0 21.271 -0.765 20.897 -0.680 1945 6 26.128 -0.970 0 0 26.128 -0.970 25.949 -0.690 1945 7 26.996 -2.576 0 0 26.996 -2.576 27.084 -2.030 1945 8 28.056 -0.748 0 0 28.056 -0.748 27.690 -0.655 1945 9 24.215 -0.158 0 0 24.215 -0.158 23.891 -0.023 1945 10 16.884 -1.134 0 0 16.884 -1.134 16.927 -0.633 1945 11 NaN NaN NaN NaN NaN NaN 11.959 1.718 1945 12 NaN NaN NaN NaN NaN NaN 3.894 -1.613 1946 1 NaN NaN NaN NaN NaN NaN 3.862 0.272 1946 2 NaN NaN NaN NaN NaN NaN 8.718 2.256 1946 3 NaN NaN NaN NaN NaN NaN 13.315 2.396 1946 4 NaN NaN NaN NaN NaN NaN 19.522 2.697 1946 5 NaN NaN NaN NaN NaN NaN 19.997 -1.580 1946 6 NaN NaN NaN NaN NaN NaN 25.964 -0.674 1946 7 NaN NaN NaN NaN NaN NaN 29.712 0.598 1946 8 NaN NaN NaN NaN NaN NaN 28.938 0.594 1946 9 NaN NaN NaN NaN NaN NaN 22.613 -1.301 1946 10 NaN NaN NaN NaN NaN NaN 18.422 0.863