% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30909 % Primary Name: KILBYS GAP % Record Type: TAVG % Country: United States % State: NC % Latitude: 36.03333 +/- 0.00833 % Longitude: -81.18333 +/- 0.00833 % Elevation (m): 470.00 +/- 0.05 % # of Months: 99 % % IDs: coop - 314641 % ncdc - 20013945 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 9a35767a11f053b085d22bb49524d76f % Raw Data Hash: f5e0bf01996557125d90b8cc16bd96de % Adj Data Hash: a48d797c9cc20c1488e6d1c8d372c4b2 % % 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 1937 3 NaN NaN NaN NaN NaN NaN 5.720 -1.085 1937 4 NaN NaN NaN NaN NaN NaN 11.471 -0.491 1937 5 NaN NaN NaN NaN NaN NaN 16.166 -0.289 1937 6 NaN NaN NaN NaN NaN NaN 21.165 1.175 1937 7 NaN NaN NaN NaN NaN NaN 21.548 -0.387 1937 8 NaN NaN NaN NaN NaN NaN 22.232 0.647 1937 9 NaN NaN NaN NaN NaN NaN 17.664 -0.802 1937 10 NaN NaN NaN NaN NaN NaN 10.614 -1.833 1937 11 NaN NaN NaN NaN NaN NaN 5.700 -1.586 1937 12 NaN NaN NaN NaN NaN NaN 2.247 -0.727 1938 1 NaN NaN NaN NaN NaN NaN 1.896 0.377 1938 2 NaN NaN NaN NaN NaN NaN 5.598 2.936 1938 3 13.611 4.730 0 0 13.376 4.495 10.203 3.398 1938 4 14.778 0.739 0 0 14.542 0.503 12.439 0.476 1938 5 19.111 0.580 0 0 18.876 0.344 16.563 0.108 1938 6 21.222 -0.845 0 0 20.987 -1.080 19.015 -0.976 1938 7 23.556 -0.455 0 0 23.320 -0.691 21.624 -0.310 1938 8 24.611 0.950 0 0 24.376 0.714 22.441 0.856 1938 9 21.111 0.569 0 0 20.876 0.333 19.037 0.571 1938 10 16.111 1.587 0 0 15.876 1.352 12.849 0.402 1938 11 11.333 1.971 0 0 11.098 1.735 8.943 1.657 1938 12 4.889 -0.161 0 0 4.653 -0.397 2.574 -0.399 1939 1 6.111 2.516 0 0 5.876 2.280 3.131 1.612 1939 2 7.222 2.484 0 0 6.987 2.249 5.292 2.631 1939 3 10.667 1.786 0 0 10.431 1.550 8.466 1.662 1939 4 13.611 -0.428 0 0 13.376 -0.664 11.276 -0.687 1939 5 18.778 0.247 0 0 18.542 0.011 16.414 -0.041 1939 6 24.278 2.211 0 0 24.042 1.975 22.115 2.124 1939 7 23.333 -0.677 0 0 23.098 -0.913 21.856 -0.078 1939 8 23.333 -0.328 0 0 23.098 -0.564 21.476 -0.109 1939 9 22.222 1.680 0 0 21.987 1.444 20.088 1.622 1939 10 16.722 2.198 0 0 16.487 1.963 14.082 1.634 1939 11 8.778 -0.585 0 0 8.542 -0.820 6.323 -0.963 1939 12 6.167 1.117 0 0 5.931 0.881 3.807 0.833 1940 1 -1.667 -5.262 0 0 -1.902 -5.498 -4.556 -6.075 1940 2 4.778 0.040 0 0 4.542 -0.196 1.821 -0.840 1940 3 7.444 -1.436 0 0 7.209 -1.672 5.084 -1.720 1940 4 13.389 -0.650 0 0 13.153 -0.886 11.039 -0.924 1940 5 18.222 -0.309 0 0 17.987 -0.544 15.231 -1.224 1940 6 22.778 0.711 0 0 22.542 0.475 20.391 0.401 1940 7 23.444 -0.566 0 0 23.209 -0.802 21.169 -0.765 1940 8 22.889 -0.773 0 0 22.653 -1.008 20.965 -0.620 1940 9 19.167 -1.376 0 0 18.931 -1.611 17.057 -1.410 1940 10 15.556 1.032 0 0 15.320 0.796 12.643 0.195 1940 11 8.944 -0.418 0 0 8.709 -0.654 7.220 -0.067 1940 12 6.667 1.617 0 0 6.431 1.381 5.219 2.246 1941 1 NaN NaN NaN NaN NaN NaN 1.863 0.344 1941 2 2.500 -2.238 0 0 2.264 -2.473 -0.807 -3.469 1941 3 6.000 -2.881 0 0 5.764 -3.116 3.238 -3.566 1941 4 15.667 1.628 0 0 15.431 1.392 13.341 1.379 1941 5 20.278 1.747 0 0 20.042 1.511 17.062 0.607 1941 6 22.500 0.433 0 0 22.264 0.198 20.274 0.284 1941 7 24.000 -0.011 0 0 23.764 -0.246 22.182 0.247 1941 8 24.000 0.339 0 0 23.764 0.103 22.296 0.711 1941 9 22.222 1.680 0 0 21.987 1.444 19.938 1.472 1941 10 18.167 3.643 0 0 17.931 3.407 15.827 3.379 1941 11 10.056 0.693 0 0 9.820 0.457 7.854 0.568 1941 12 6.778 1.728 0 0 6.542 1.492 5.076 2.102 1942 1 3.778 0.182 0 0 3.542 -0.053 0.998 -0.521 1942 2 2.611 -2.127 0 0 2.376 -2.362 -0.386 -3.048 1942 3 9.611 0.730 0 0 9.376 0.495 7.412 0.608 1942 4 15.778 1.739 0 0 15.542 1.503 13.381 1.419 1942 5 18.333 -0.198 0 0 18.098 -0.433 16.680 0.226 1942 6 22.278 0.211 0 0 22.042 -0.025 20.827 0.836 1942 7 24.611 0.600 0 0 24.376 0.365 22.449 0.514 1942 8 22.389 -1.273 0 4 22.650 -1.012 21.041 -0.545 1942 9 19.889 -0.653 0 0 20.150 -0.393 18.611 0.145 1942 10 15.056 0.532 0 0 15.316 0.792 13.186 0.738 1942 11 9.556 0.193 0 0 9.816 0.454 8.696 1.410 1942 12 3.778 -1.272 0 0 4.038 -1.012 2.358 -0.616 1943 1 5.111 1.516 0 0 5.372 1.776 3.575 2.056 1943 2 5.889 1.151 0 0 6.150 1.412 2.936 0.275 1943 3 7.333 -1.547 0 0 7.594 -1.287 5.793 -1.012 1943 4 12.167 -1.872 0 0 12.427 -1.612 10.616 -1.346 1943 5 19.111 0.580 0 0 19.372 0.841 17.334 0.879 1943 6 24.389 2.322 0 0 24.650 2.583 22.506 2.516 1943 7 22.778 -1.233 0 0 23.038 -0.972 21.777 -0.157 1943 8 23.889 0.227 0 0 24.150 0.488 22.517 0.932 1943 9 18.556 -1.987 0 0 18.816 -1.726 17.109 -1.358 1943 10 14.222 -0.302 0 0 14.483 -0.041 11.948 -0.500 1943 11 8.778 -0.585 0 0 9.038 -0.324 6.765 -0.521 1943 12 5.111 0.061 0 0 5.372 0.322 2.953 -0.021 1944 1 4.611 1.016 0 0 4.872 1.276 2.436 0.917 1944 2 6.222 1.484 0 0 6.483 1.745 4.484 1.823 1944 3 8.056 -0.825 0 0 8.316 -0.565 6.624 -0.181 1944 4 13.000 -1.039 0 0 13.261 -0.778 11.308 -0.654 1944 5 20.000 1.469 0 0 20.261 1.730 18.005 1.551 1944 6 23.222 1.155 0 0 23.483 1.416 21.455 1.465 1944 7 22.222 -1.789 0 0 22.483 -1.528 21.060 -0.874 1944 8 21.944 -1.717 0 0 22.205 -1.456 21.044 -0.541 1944 9 20.000 -0.542 0 0 20.261 -0.282 19.158 0.692 1944 10 14.333 -0.191 0 0 14.594 0.070 12.444 -0.003 1944 11 7.611 -1.752 0 0 7.872 -1.491 6.578 -0.708 1944 12 1.444 -3.606 0 0 1.705 -3.345 0.770 -2.204 1945 1 4.333 0.738 0 0 4.594 0.999 1.524 0.005 1945 2 6.222 1.484 0 0 6.483 1.745 3.784 1.122 1945 3 14.667 5.786 0 0 14.927 6.047 12.246 5.441 1945 4 16.167 2.128 0 0 16.427 2.388 13.780 1.817 1945 5 17.111 -1.420 0 0 17.372 -1.159 14.791 -1.664 1945 6 22.889 0.822 0 0 23.150 1.083 20.390 0.400 1945 7 24.222 0.211 0 0 24.483 0.472 21.910 -0.024 1945 8 23.444 -0.217 0 0 23.705 0.044 21.497 -0.088 1945 9 21.833 1.291 0 0 22.094 1.552 20.559 2.093 1945 10 14.778 0.254 0 0 15.038 0.515 12.158 -0.290 1945 11 10.667 1.304 0 0 10.927 1.565 8.428 1.141 1945 12 1.944 -3.106 0 0 2.205 -2.845 -0.186 -3.160 1946 1 NaN NaN NaN NaN NaN NaN 2.734 1.215 1946 2 6.500 1.762 0 0 6.761 2.023 3.792 1.131 1946 3 13.222 4.341 0 0 13.483 4.602 11.011 4.206 1946 4 15.000 0.961 0 0 15.261 1.222 13.659 1.696 1946 5 17.222 -1.309 0 0 17.483 -1.048 15.575 -0.880 1946 6 22.222 0.155 0 0 22.483 0.416 20.027 0.037 1946 7 22.833 -1.177 0 0 23.094 -0.917 21.753 -0.182 1946 8 NaN NaN NaN NaN NaN NaN 20.037 -1.548 1946 9 NaN NaN NaN NaN NaN NaN 18.193 -0.273 1946 10 NaN NaN NaN NaN NaN NaN 13.067 0.619 1946 11 NaN NaN NaN NaN NaN NaN 10.320 3.034 1946 12 NaN NaN NaN NaN NaN NaN 5.000 2.027 1947 1 NaN NaN NaN NaN NaN NaN 5.031 3.511 1947 2 NaN NaN NaN NaN NaN NaN -2.061 -4.722 1947 3 NaN NaN NaN NaN NaN NaN 2.285 -4.520 1947 4 NaN NaN NaN NaN NaN NaN 13.585 1.622 1947 5 NaN NaN NaN NaN NaN NaN 16.071 -0.384 1947 6 NaN NaN NaN NaN NaN NaN 19.594 -0.397 1947 7 NaN NaN NaN NaN NaN NaN 19.939 -1.996