% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31719 % Primary Name: REGNIER % Record Type: TAVG % Country: United States % State: OK % Latitude: 36.93377 +/- 0.00878 % Longitude: -102.63333 +/- 0.00833 % Elevation (m): 1225.40 +/- 0.25 % # of Months: 38 % % IDs: coop - 347534 % ghcnd - USC00347534 % ncdc - 20015083 % ncdc - 20015084 % nws - RGNO2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 05876474a51e0e52ff1667bff55cac5b % Raw Data Hash: 7ea3dd2fc77a961f551a523ac3d4b7fb % Adj Data Hash: 979dd40e4fab2eea41770331c5012a4b % % 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 1 NaN NaN NaN NaN NaN NaN 0.696 0.038 1942 2 NaN NaN NaN NaN NaN NaN 0.460 -2.348 1942 3 NaN NaN NaN NaN NaN NaN 4.340 -1.581 1942 4 NaN NaN NaN NaN NaN NaN 11.275 0.206 1942 5 NaN NaN NaN NaN NaN NaN 15.486 -0.800 1942 6 NaN NaN NaN NaN NaN NaN 20.900 -0.753 1942 7 NaN NaN NaN NaN NaN NaN 23.224 -0.722 1942 8 NaN NaN NaN NaN NaN NaN 22.003 -0.858 1942 9 NaN NaN NaN NaN NaN NaN 17.407 -1.413 1942 10 NaN NaN NaN NaN NaN NaN 12.107 -0.739 1942 11 NaN NaN NaN NaN NaN NaN 8.226 2.429 1942 12 NaN NaN NaN NaN NaN NaN 3.589 1.615 1943 1 6.102 3.439 0 0 6.102 3.439 1.780 1.122 1943 2 NaN NaN NaN NaN NaN NaN 5.403 2.594 1943 3 NaN NaN NaN NaN NaN NaN 4.802 -1.119 1943 4 NaN NaN NaN NaN NaN NaN 13.667 2.598 1943 5 NaN NaN NaN NaN NaN NaN 14.948 -1.337 1943 6 NaN NaN NaN NaN NaN NaN 22.064 0.410 1943 7 NaN NaN NaN NaN NaN NaN 24.093 0.147 1943 8 NaN NaN NaN NaN NaN NaN 24.704 1.844 1943 9 NaN NaN NaN NaN NaN NaN 18.657 -0.162 1943 10 NaN NaN NaN NaN NaN NaN 12.470 -0.377 1943 11 NaN NaN NaN NaN NaN NaN 5.262 -0.535 1943 12 NaN NaN NaN NaN NaN NaN -0.900 -2.874 1944 1 5.402 2.739 1 0 NaN NaN -0.565 -1.223 1944 2 6.578 1.765 0 2 6.578 1.765 2.731 -0.078 1944 3 6.992 -0.934 0 0 6.992 -0.934 4.549 -1.372 1944 4 NaN NaN NaN NaN NaN NaN 8.802 -2.267 1944 5 17.386 -0.905 0 0 17.386 -0.905 15.488 -0.798 1944 6 26.183 2.525 0 0 26.183 2.525 21.192 -0.461 1944 7 NaN NaN NaN NaN NaN NaN 23.146 -0.801 1944 8 30.286 5.420 1 0 NaN NaN 23.369 0.509 1944 9 24.503 3.678 0 0 24.503 3.678 18.734 -0.086 1944 10 16.831 1.980 1 0 NaN NaN 13.596 0.749 1944 11 11.602 3.801 1 0 NaN NaN 6.235 0.438 1944 12 1.093 -2.885 0 0 1.093 -2.885 1.531 -0.443 1945 1 1.802 -0.861 0 0 1.802 -0.861 1.014 0.356 1945 2 NaN NaN NaN NaN NaN NaN 3.805 0.996 1945 3 7.834 -0.092 1 0 NaN NaN 6.965 1.044 1945 4 5.821 -7.253 0 0 5.821 -7.253 8.686 -2.383 1945 5 15.316 -2.975 1 0 NaN NaN 16.402 0.116 1945 6 19.234 -4.424 0 0 19.234 -4.424 20.213 -1.441 1945 7 25.696 -0.255 0 0 25.696 -0.255 23.343 -0.603 1945 8 27.473 2.608 1 0 NaN NaN 23.578 0.717 1945 9 21.670 0.845 0 0 21.670 0.845 18.761 -0.059 1945 10 15.554 0.703 0 0 15.554 0.703 13.572 0.726 1945 11 9.280 1.479 0 0 9.280 1.479 7.286 1.489 1945 12 2.877 -1.102 1 0 NaN NaN 1.450 -0.524 1946 1 4.937 2.274 0 0 4.937 2.274 1.042 0.384 1946 2 6.188 1.374 1 0 NaN NaN 3.834 1.025 1946 3 10.927 3.002 0 0 10.927 3.002 7.429 1.508 1946 4 17.583 4.509 0 0 17.583 4.509 14.928 3.859 1946 5 15.300 -2.991 0 0 15.300 -2.991 14.411 -1.875 1946 6 24.084 0.426 0 0 24.084 0.426 22.662 1.009 1946 7 26.407 0.456 0 0 26.407 0.456 24.616 0.670 1946 8 NaN NaN NaN NaN NaN NaN 23.045 0.184 1946 9 NaN NaN NaN NaN NaN NaN 19.369 0.549 1946 10 NaN NaN NaN NaN NaN NaN 13.107 0.260 1946 11 NaN NaN NaN NaN NaN NaN 4.566 -1.230 1946 12 NaN NaN NaN NaN NaN NaN 5.203 3.229 1947 1 NaN NaN NaN NaN NaN NaN 0.685 0.027 1947 2 NaN NaN NaN NaN NaN NaN 1.548 -1.261 1947 3 NaN NaN NaN NaN NaN NaN 4.250 -1.671 1947 4 10.657 -2.417 0 0 10.657 -2.417 10.073 -0.996 1947 5 16.144 -2.146 0 0 16.144 -2.146 15.552 -0.734 1947 6 22.921 -0.737 0 0 22.921 -0.737 20.892 -0.761 1947 7 25.803 -0.148 0 0 25.803 -0.148 23.936 -0.010 1947 8 26.281 1.416 1 0 NaN NaN 23.473 0.613 1947 9 23.660 2.835 0 0 23.660 2.835 20.823 2.003 1947 10 17.389 2.538 0 0 17.389 2.538 15.635 2.789 1947 11 5.546 -2.256 1 0 NaN NaN 3.055 -2.742 1947 12 2.576 -1.403 0 0 2.576 -1.403 1.275 -0.698 1948 1 NaN NaN NaN NaN NaN NaN -0.989 -1.647 1948 2 NaN NaN NaN NaN NaN NaN -0.022 -2.831 1948 3 NaN NaN NaN NaN NaN NaN 1.364 -4.557 1948 4 NaN NaN NaN NaN NaN NaN 13.491 2.422 1948 5 NaN NaN NaN NaN NaN NaN 16.038 -0.248 1948 6 NaN NaN NaN NaN NaN NaN 21.376 -0.277 1948 7 NaN NaN NaN NaN NaN NaN 24.119 0.173 1948 8 NaN NaN NaN NaN NaN NaN 22.892 0.032 1948 9 NaN NaN NaN NaN NaN NaN 20.216 1.396 1948 10 NaN NaN NaN NaN NaN NaN 13.160 0.314 1948 11 NaN NaN NaN NaN NaN NaN 3.987 -1.810 1948 12 NaN NaN NaN NaN NaN NaN 3.596 1.622