% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40895 % Primary Name: STARKEY % Record Type: TAVG % Country: United States % State: OR % Latitude: 45.23330 +/- 0.00005 % Longitude: -118.45000 +/- 0.00005 % Elevation (m): 1036.90 +/- 0.05 % # of Months: 108 % % IDs: coop - 358079 % ghcnd - USC00358079 % ncdc - 20016277 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 01f007996cc59cc17cd4256b8e051bae % Raw Data Hash: e0475bb70e51b5c7c448cd73fb601e41 % Adj Data Hash: 2ea69e103fddccdaf55eb1dfda13e4d0 % % 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 11 NaN NaN NaN NaN NaN NaN 5.808 2.201 1937 12 NaN NaN NaN NaN NaN NaN 2.829 2.457 1938 1 NaN NaN NaN NaN NaN NaN 0.979 2.191 1938 2 NaN NaN NaN NaN NaN NaN 2.499 0.130 1938 3 NaN NaN NaN NaN NaN NaN 4.738 -0.260 1938 4 NaN NaN NaN NaN NaN NaN 8.873 0.261 1938 5 NaN NaN NaN NaN NaN NaN 13.031 -0.056 1938 6 NaN NaN NaN NaN NaN NaN 17.796 0.691 1938 7 NaN NaN NaN NaN NaN NaN 22.674 1.763 1938 8 NaN NaN NaN NaN NaN NaN 19.081 -0.975 1938 9 NaN NaN NaN NaN NaN NaN 18.820 2.971 1938 10 NaN NaN NaN NaN NaN NaN 10.760 1.059 1938 11 -10.444 -10.527 1 0 NaN NaN 1.973 -1.634 1938 12 -2.992 0.160 0 0 -2.992 0.160 1.738 1.366 1939 1 -2.260 2.476 0 0 -2.260 2.476 2.158 3.370 1939 2 -3.145 -1.990 0 0 -3.145 -1.990 1.273 -1.096 1939 3 3.818 2.343 0 0 3.818 2.343 5.646 0.647 1939 4 9.018 3.929 0 0 9.018 3.929 9.854 1.242 1939 5 11.482 1.918 1 0 NaN NaN 14.452 1.365 1939 6 12.575 -1.007 0 0 12.575 -1.007 15.545 -1.560 1939 7 NaN NaN NaN NaN NaN NaN 21.666 0.755 1939 8 17.277 0.745 0 0 17.277 0.745 20.929 0.873 1939 9 NaN NaN NaN NaN NaN NaN 16.645 0.796 1939 10 6.778 0.600 0 0 6.778 0.600 10.434 0.732 1939 11 2.111 2.028 0 0 2.111 2.028 4.329 0.723 1939 12 1.278 4.429 0 0 1.278 4.429 4.184 3.813 1940 1 -1.778 2.958 0 0 -1.778 2.958 -0.841 0.371 1940 2 1.111 2.266 0 0 1.111 2.266 4.453 2.085 1940 3 4.944 3.469 0 0 4.944 3.469 7.120 2.122 1940 4 6.833 1.744 0 0 6.833 1.744 9.171 0.558 1940 5 11.333 1.769 0 0 11.333 1.769 15.010 1.923 1940 6 14.667 1.085 0 0 14.667 1.085 18.725 1.620 1940 7 16.833 -0.554 0 0 16.833 -0.554 21.389 0.478 1940 8 15.667 -0.866 0 0 15.667 -0.866 20.351 0.295 1940 9 13.889 1.563 0 0 13.889 1.563 17.572 1.724 1940 10 8.889 2.711 0 0 8.889 2.711 11.922 2.220 1940 11 -1.611 -1.694 0 0 -1.611 -1.694 0.785 -2.822 1940 12 -0.944 2.207 0 0 -0.944 2.207 1.555 1.183 1941 1 -0.444 4.291 0 0 -0.444 4.291 0.312 1.525 1941 2 1.389 2.544 0 0 1.389 2.544 4.301 1.933 1941 3 4.444 2.969 0 0 4.444 2.969 7.037 2.039 1941 4 6.667 1.577 0 0 6.667 1.577 9.702 1.089 1941 5 10.444 0.881 0 0 10.444 0.881 13.149 0.062 1941 6 12.778 -0.804 0 0 12.778 -0.804 16.051 -1.054 1941 7 17.667 0.279 0 0 17.667 0.279 22.966 2.055 1941 8 15.889 -0.644 0 0 15.889 -0.644 20.028 -0.027 1941 9 10.000 -2.326 0 0 10.000 -2.326 13.855 -1.994 1941 10 6.778 0.600 0 0 6.778 0.600 9.440 -0.261 1941 11 2.833 2.750 0 0 2.833 2.750 5.226 1.620 1941 12 -0.556 2.596 0 0 -0.556 2.596 2.628 2.256 1942 1 -5.667 -0.931 0 0 -5.667 -0.931 -5.126 -3.914 1942 2 -3.111 -1.956 0 0 -3.111 -1.956 2.281 -0.088 1942 3 1.111 -0.364 0 0 1.111 -0.364 4.444 -0.554 1942 4 6.778 1.688 0 0 6.778 1.688 9.413 0.800 1942 5 8.333 -1.231 0 0 8.333 -1.231 12.124 -0.963 1942 6 11.000 -2.582 0 0 11.000 -2.582 14.998 -2.107 1942 7 16.611 -0.776 0 0 16.611 -0.776 21.740 0.829 1942 8 15.667 -0.866 0 0 15.667 -0.866 21.271 1.215 1942 9 11.556 -0.770 0 0 11.556 -0.770 16.773 0.924 1942 10 7.667 1.489 0 0 7.667 1.489 11.241 1.540 1942 11 1.556 1.472 0 0 1.556 1.472 3.027 -0.580 1942 12 -1.889 1.263 0 0 -1.889 1.263 1.830 1.459 1943 1 -6.500 -1.764 0 0 -6.500 -1.764 -4.579 -3.366 1943 2 -0.889 0.266 0 0 -0.889 0.266 2.762 0.394 1943 3 0.444 -1.031 0 0 0.444 -1.031 3.449 -1.549 1943 4 7.444 2.355 0 0 7.444 2.355 9.850 1.238 1943 5 7.111 -2.453 0 0 7.111 -2.453 11.238 -1.849 1943 6 10.333 -3.248 0 0 10.333 -3.248 14.370 -2.735 1943 7 15.778 -1.610 0 0 15.778 -1.610 20.938 0.027 1943 8 14.000 -2.532 0 0 14.000 -2.532 18.699 -1.357 1943 9 12.833 0.508 0 0 12.833 0.508 17.452 1.603 1943 10 7.333 1.155 0 0 7.333 1.155 10.409 0.708 1943 11 2.000 1.917 0 0 2.000 1.917 3.375 -0.231 1943 12 -2.667 0.485 0 0 -2.667 0.485 -0.057 -0.429 1944 1 -4.778 -0.042 0 0 -4.778 -0.042 -1.420 -0.208 1944 2 -1.889 -0.734 0 0 -1.889 -0.734 2.187 -0.181 1944 3 0.556 -0.920 0 0 0.556 -0.920 3.575 -1.423 1944 4 5.556 0.466 0 0 5.556 0.466 8.444 -0.168 1944 5 8.778 -0.786 0 0 8.778 -0.786 13.338 0.251 1944 6 11.444 -2.137 0 0 11.444 -2.137 15.859 -1.246 1944 7 15.333 -2.054 0 0 15.333 -2.054 21.009 0.098 1944 8 14.333 -2.199 0 0 14.333 -2.199 19.242 -0.813 1944 9 12.611 0.286 0 0 12.611 0.286 17.138 1.290 1944 10 8.556 2.378 0 0 8.556 2.378 12.401 2.700 1944 11 -0.889 -0.972 0 0 -0.889 -0.972 2.650 -0.957 1944 12 -5.611 -2.460 0 0 -5.611 -2.460 -0.930 -1.302 1945 1 -2.333 2.402 0 0 -2.333 2.402 0.918 2.130 1945 2 -0.500 0.655 0 0 -0.500 0.655 4.080 1.712 1945 3 1.111 -0.364 0 0 1.111 -0.364 3.923 -1.075 1945 4 5.278 0.188 0 0 5.278 0.188 7.283 -1.330 1945 5 10.111 0.547 0 0 10.111 0.547 13.516 0.429 1945 6 12.722 -0.860 0 0 12.722 -0.860 15.615 -1.490 1945 7 18.000 0.612 0 0 18.000 0.612 21.781 0.870 1945 8 17.333 0.801 0 0 17.333 0.801 20.674 0.618 1945 9 12.111 -0.214 0 0 12.111 -0.214 14.722 -1.126 1945 10 8.167 1.989 0 0 8.167 1.989 11.284 1.583 1945 11 0.778 0.695 0 0 0.778 0.695 3.473 -0.134 1945 12 -4.222 -1.071 0 0 -4.222 -1.071 -0.094 -0.465 1946 1 -3.889 0.847 0 0 -3.889 0.847 0.765 1.978 1946 2 -2.500 -1.345 0 0 -2.500 -1.345 3.420 1.051 1946 3 2.389 0.914 0 0 2.389 0.914 5.168 0.170 1946 4 6.111 1.022 0 0 6.111 1.022 8.988 0.375 1946 5 9.389 -0.175 0 0 9.389 -0.175 13.828 0.740 1946 6 11.944 -1.637 0 0 11.944 -1.637 15.563 -1.542 1946 7 16.167 -1.221 0 0 16.167 -1.221 20.784 -0.127 1946 8 15.667 -0.866 0 0 15.667 -0.866 20.263 0.207 1946 9 11.333 -0.992 0 0 11.333 -0.992 14.997 -0.852 1946 10 4.111 -2.067 0 0 4.111 -2.067 7.760 -1.942 1946 11 NaN NaN NaN NaN NaN NaN 2.024 -1.583 1946 12 NaN NaN NaN NaN NaN NaN 2.206 1.834 1947 1 -8.749 -4.014 1 0 NaN NaN -2.482 -1.269 1947 2 NaN NaN NaN NaN NaN NaN 4.272 1.904 1947 3 1.125 -0.350 1 0 NaN NaN 6.810 1.811 1947 4 NaN NaN NaN NaN NaN NaN 9.477 0.864 1947 5 NaN NaN NaN NaN NaN NaN 16.173 3.086 1947 6 11.278 -2.304 0 0 11.278 -2.304 15.569 -1.536 1947 7 15.111 -2.276 0 0 15.111 -2.276 20.547 -0.364 1947 8 NaN NaN NaN NaN NaN NaN 18.903 -1.152 1947 9 NaN NaN NaN NaN NaN NaN 16.604 0.755 1947 10 NaN NaN NaN NaN NaN NaN 11.011 1.309 1947 11 0.078 -0.005 1 0 NaN NaN 3.771 0.164 1947 12 -0.557 2.594 1 0 NaN NaN 2.008 1.636 1948 1 NaN NaN NaN NaN NaN NaN -0.577 0.636 1948 2 -3.810 -2.655 1 0 NaN NaN 1.143 -1.226 1948 3 0.548 -0.927 1 0 NaN NaN 3.207 -1.792 1948 4 6.804 1.715 1 0 NaN NaN 6.753 -1.860 1948 5 11.324 1.760 1 0 NaN NaN 11.938 -1.149 1948 6 15.503 1.922 1 0 NaN NaN 18.296 1.191 1948 7 13.833 -3.554 0 0 13.833 -3.554 18.990 -1.921 1948 8 14.167 -2.366 1 0 NaN NaN 18.601 -1.455 1948 9 11.204 -1.122 1 0 NaN NaN 15.031 -0.818 1948 10 NaN NaN NaN NaN NaN NaN 9.113 -0.589 1948 11 NaN NaN NaN NaN NaN NaN 3.383 -0.224 1948 12 NaN NaN NaN NaN NaN NaN -2.210 -2.581 1949 1 NaN NaN NaN NaN NaN NaN -9.871 -8.659 1949 2 NaN NaN NaN NaN NaN NaN 0.598 -1.770 1949 3 NaN NaN NaN NaN NaN NaN 4.828 -0.170 1949 4 NaN NaN NaN NaN NaN NaN 10.190 1.577 1949 5 NaN NaN NaN NaN NaN NaN 15.296 2.209 1949 6 NaN NaN NaN NaN NaN NaN 16.433 -0.672 1949 7 NaN NaN NaN NaN NaN NaN 19.973 -0.938 1949 8 NaN NaN NaN NaN NaN NaN 19.787 -0.268 1949 9 NaN NaN NaN NaN NaN NaN 16.743 0.894