% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40967 % Primary Name: TIMBERLINE LODGE % Record Type: TAVG % Country: United States % State: OR % Latitude: 45.34000 +/- 0.01500 % Longitude: -121.70000 +/- 0.00833 % Elevation (m): 1812.50 +/- 0.55 % # of Months: 156 % % IDs: coop - 358530 % ghcnd - USC00358530 % ncdc - 20016362 % wban - 24275 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 4591bee799aef22fb53e3698fa66f84b % Raw Data Hash: 35ca1599f076c655dde8ce5235f9d155 % Adj Data Hash: 79f07fff7aae258f906a109d50043052 % % 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 12 NaN NaN NaN NaN NaN NaN 1.716 2.090 1938 1 NaN NaN NaN NaN NaN NaN -0.461 1.436 1938 2 NaN NaN NaN NaN NaN NaN 0.881 -0.449 1938 3 NaN NaN NaN NaN NaN NaN 2.842 -0.673 1938 4 NaN NaN NaN NaN NaN NaN 7.350 0.562 1938 5 NaN NaN NaN NaN NaN NaN 11.376 0.346 1938 6 NaN NaN NaN NaN NaN NaN 15.516 0.802 1938 7 NaN NaN NaN NaN NaN NaN 19.864 1.750 1938 8 NaN NaN NaN NaN NaN NaN 16.342 -1.288 1938 9 NaN NaN NaN NaN NaN NaN 16.759 2.520 1938 10 NaN NaN NaN NaN NaN NaN 8.976 0.524 1938 11 NaN NaN NaN NaN NaN NaN 1.051 -1.602 1938 12 -1.333 3.113 0 0 -1.960 2.486 0.931 1.304 1939 1 -1.833 4.137 0 0 -2.347 3.624 0.923 2.820 1939 2 -4.222 -1.480 0 0 -4.244 -1.501 0.446 -0.885 1939 3 1.111 1.670 0 0 1.476 2.034 4.388 0.874 1939 4 5.333 2.618 0 0 5.847 3.132 8.051 1.262 1939 5 7.722 0.765 0 0 8.307 1.350 12.139 1.109 1939 6 5.778 -4.864 0 0 6.257 -4.384 12.986 -1.728 1939 7 14.500 0.459 0 0 14.578 0.537 18.683 0.569 1939 8 16.778 3.221 0 0 16.498 2.941 18.439 0.809 1939 9 12.000 1.834 0 0 11.756 1.590 15.070 0.831 1939 10 6.222 1.843 0 0 6.116 1.737 9.454 1.002 1939 11 4.556 5.975 0 0 4.245 5.665 3.827 1.174 1939 12 0.000 4.446 0 0 -0.627 3.819 2.713 3.086 1940 1 -1.556 4.415 0 0 -2.069 3.901 -1.814 0.084 1940 2 -2.222 0.520 0 0 -2.244 0.499 3.089 1.759 1940 3 1.111 1.670 0 0 1.476 2.034 5.799 2.284 1940 4 1.556 -1.160 0 0 2.070 -0.646 7.450 0.662 1940 5 8.111 1.154 0 0 8.695 1.739 13.081 2.051 1940 6 12.667 2.025 0 0 13.146 2.504 16.461 1.747 1940 7 13.333 -0.708 0 0 13.411 -0.630 18.312 0.198 1940 8 15.556 1.998 0 0 15.276 1.719 18.209 0.579 1940 9 10.444 0.278 0 0 10.200 0.034 15.670 1.432 1940 10 5.889 1.509 0 0 5.783 1.403 10.282 1.829 1940 11 0.556 1.975 0 0 0.245 1.665 0.714 -1.939 1940 12 -0.333 4.113 0 0 -0.960 3.486 0.406 0.780 1941 1 0.000 5.970 0 0 -0.513 5.457 -0.850 1.048 1941 2 0.167 2.909 0 0 0.145 2.887 3.221 1.890 1941 3 2.444 3.003 0 0 2.809 3.367 6.149 2.635 1941 4 2.944 0.229 0 0 3.458 0.743 8.268 1.479 1941 5 4.667 -2.290 0 0 5.251 -1.706 11.175 0.145 1941 6 7.389 -3.253 0 0 7.868 -2.773 14.035 -0.679 1941 7 16.222 2.181 0 0 16.300 2.259 20.565 2.451 1941 8 12.467 -1.090 0 0 12.188 -1.370 17.751 0.121 1941 9 5.778 -4.388 0 0 5.534 -4.632 12.571 -1.668 1941 10 4.778 0.398 0 0 4.672 0.292 8.510 0.058 1941 11 2.722 4.142 0 0 2.412 3.832 3.882 1.229 1941 12 -1.889 2.557 0 0 -2.516 1.930 1.209 1.582 1942 1 -2.000 3.970 0 0 -2.513 3.457 -5.446 -3.549 1942 2 -3.778 -1.035 0 0 -3.800 -1.057 1.692 0.362 1942 3 -1.667 -1.108 0 0 -1.302 -0.744 3.332 -0.182 1942 4 0.889 -1.827 0 0 1.403 -1.313 7.337 0.548 1942 5 2.333 -4.624 0 0 2.918 -4.039 10.164 -0.865 1942 6 5.444 -5.197 0 0 5.924 -4.718 13.173 -1.542 1942 7 13.667 -0.375 0 0 13.745 -0.296 18.996 0.882 1942 8 14.889 1.332 0 0 14.609 1.052 18.943 1.313 1942 9 12.389 2.223 0 0 12.145 1.979 15.660 1.421 1942 10 7.333 2.954 0 0 7.227 2.848 9.959 1.506 1942 11 -1.278 0.142 0 0 -1.588 -0.168 1.554 -1.099 1942 12 -1.556 2.891 0 0 -2.182 2.264 1.067 1.441 1943 1 -3.778 2.193 0 0 -4.291 1.679 -5.540 -3.643 1943 2 0.500 3.242 0 0 0.478 3.221 1.668 0.337 1943 3 -2.611 -2.053 0 0 -2.247 -1.688 2.352 -1.162 1943 4 2.222 -0.493 0 0 2.736 0.021 7.901 1.112 1943 5 2.222 -4.735 0 0 2.807 -4.150 9.546 -1.484 1943 6 6.000 -4.641 0 0 6.479 -4.162 12.793 -1.921 1943 7 12.667 -1.375 0 0 12.745 -1.296 18.272 0.158 1943 8 11.111 -2.446 0 0 10.832 -2.726 16.143 -1.487 1943 9 14.444 4.278 0 0 14.200 4.034 16.265 2.026 1943 10 5.111 0.731 0 0 5.005 0.625 9.022 0.570 1943 11 4.000 5.420 0 0 3.690 5.109 2.681 0.028 1943 12 0.611 5.057 0 0 -0.016 4.430 -0.591 -0.217 1944 1 -1.944 4.026 0 0 -2.458 3.512 -2.093 -0.196 1944 2 -4.333 -1.591 0 0 -4.355 -1.613 1.565 0.234 1944 3 -2.500 -1.942 0 0 -2.135 -1.577 2.857 -0.658 1944 4 0.222 -2.493 0 0 0.736 -1.979 6.346 -0.442 1944 5 4.000 -2.957 0 0 4.584 -2.373 10.977 -0.053 1944 6 6.667 -3.975 0 0 7.146 -3.496 13.656 -1.059 1944 7 13.222 -0.819 0 0 13.300 -0.741 18.454 0.340 1944 8 12.167 -1.391 0 0 11.887 -1.670 17.033 -0.597 1944 9 11.222 1.056 0 0 10.978 0.812 15.727 1.488 1944 10 9.611 5.231 0 0 9.505 5.125 11.278 2.825 1944 11 -0.333 1.086 0 0 -0.644 0.776 2.019 -0.634 1944 12 0.000 4.446 0 0 -0.627 3.819 -1.557 -1.184 1945 1 -0.833 5.137 0 0 -1.347 4.624 0.372 2.269 1945 2 -3.278 -0.535 0 0 -3.300 -0.557 2.709 1.379 1945 3 -4.333 -3.775 0 0 -3.969 -3.410 2.266 -1.248 1945 4 -1.556 -4.271 0 0 -1.042 -3.757 5.619 -1.169 1945 5 4.667 -2.290 0 0 5.251 -1.706 11.619 0.589 1945 6 6.111 -4.530 0 0 6.590 -4.051 13.659 -1.055 1945 7 14.444 0.403 0 0 14.523 0.481 19.156 1.042 1945 8 14.722 1.165 0 0 14.443 0.885 18.402 0.772 1945 9 8.444 -1.722 0 0 8.200 -1.966 13.362 -0.877 1945 10 7.111 2.731 0 0 7.005 2.625 9.862 1.410 1945 11 -2.722 -1.302 0 0 -3.033 -1.613 1.946 -0.707 1945 12 -2.667 1.780 0 0 -3.293 1.153 -0.713 -0.340 1946 1 -4.000 1.970 0 0 -4.513 1.457 0.014 1.912 1946 2 -4.333 -1.591 0 0 -4.355 -1.613 2.231 0.901 1946 3 -2.333 -1.775 0 0 -1.969 -1.410 3.299 -0.215 1946 4 1.333 -1.382 0 0 1.847 -0.868 6.610 -0.178 1946 5 6.556 -0.401 0 0 7.140 0.183 12.272 1.242 1946 6 5.556 -5.086 0 0 6.035 -4.607 13.115 -1.599 1946 7 12.667 -1.375 0 0 12.745 -1.296 17.903 -0.211 1946 8 14.778 1.221 0 0 14.498 0.941 17.784 0.154 1946 9 8.778 -1.388 0 0 8.534 -1.632 13.486 -0.752 1946 10 0.944 -3.435 0 0 0.838 -3.541 6.550 -1.902 1946 11 -1.667 -0.247 0 0 -1.977 -0.557 0.925 -1.728 1946 12 -1.444 3.002 0 0 -2.071 2.375 1.261 1.634 1947 1 -3.889 2.081 0 0 -4.402 1.568 -2.649 -0.752 1947 2 0.556 3.298 0 0 0.534 3.276 3.544 2.213 1947 3 1.444 2.003 0 0 1.809 2.367 5.501 1.987 1947 4 2.000 -0.716 0 0 2.514 -0.202 8.026 1.238 1947 5 7.444 0.488 0 0 8.029 1.072 13.856 2.826 1947 6 6.000 -4.641 0 0 6.479 -4.162 13.362 -1.352 1947 7 11.111 -2.930 0 0 11.189 -2.852 17.304 -0.810 1947 8 10.944 -2.613 0 0 10.665 -2.892 16.259 -1.371 1947 9 10.667 0.501 0 0 10.422 0.256 14.950 0.711 1947 10 3.167 -1.213 0 0 3.061 -1.319 8.876 0.424 1947 11 -0.944 0.475 0 0 -1.255 0.165 3.466 0.813 1947 12 -1.556 2.891 0 0 -2.182 2.264 1.405 1.778 1948 1 -1.333 4.637 0 0 -1.847 4.124 -1.203 0.694 1948 2 -4.778 -2.035 0 0 -4.800 -2.057 -0.066 -1.396 1948 3 -3.833 -3.275 0 0 -3.469 -2.910 1.835 -1.679 1948 4 -1.889 -4.604 0 0 -1.375 -4.090 4.733 -2.055 1948 5 2.333 -4.624 0 0 2.918 -4.039 10.136 -0.894 1948 6 9.444 -1.197 0 0 9.924 -0.718 16.206 1.492 1948 7 11.222 -2.819 0 1 10.992 -3.049 16.523 -1.590 1948 8 10.722 -2.835 0 0 11.547 -2.011 15.978 -1.652 1948 9 8.111 -2.055 0 0 8.831 -1.335 13.194 -1.045 1948 10 5.833 1.454 0 0 6.146 1.766 7.891 -0.561 1948 11 -2.556 -1.136 0 0 -1.640 -0.221 2.027 -0.626 1948 12 -6.944 -2.498 0 0 -5.096 -0.650 -2.587 -2.214 1949 1 -6.889 -0.919 0 0 -5.375 0.595 -9.043 -7.146 1949 2 -5.111 -2.369 0 0 -5.047 -2.305 -0.552 -1.882 1949 3 -1.500 -0.942 0 0 -2.575 -2.016 3.051 -0.464 1949 4 2.889 0.173 0 0 1.373 -1.342 7.829 1.040 1949 5 5.778 -1.179 0 0 4.055 -2.902 12.746 1.717 1949 6 7.667 -2.975 0 0 6.254 -4.388 14.070 -0.644 1949 7 11.556 -2.486 0 0 11.325 -2.716 17.179 -0.935 1949 8 11.778 -1.779 0 0 12.602 -0.955 17.131 -0.499 1949 9 11.722 1.556 0 0 12.442 2.276 15.184 0.945 1949 10 3.667 -0.713 0 0 3.979 -0.400 6.462 -1.990 1949 11 5.333 6.753 0 0 6.248 7.668 5.088 2.435 1949 12 -4.778 -0.332 0 0 -2.929 1.517 0.652 1.025 1950 1 -8.611 -2.641 0 0 -7.097 -1.127 -9.520 -7.622 1950 2 -4.056 -1.313 0 0 -3.991 -1.249 -1.049 -2.379 1950 3 -3.722 -3.164 0 0 -4.797 -4.239 2.027 -1.487 1950 4 -2.556 -5.271 0 0 -4.071 -6.787 4.951 -1.837 1950 5 NaN NaN NaN NaN NaN NaN 9.887 -1.143 1950 6 8.222 -2.419 0 0 6.809 -3.832 14.085 -0.630 1950 7 14.056 0.014 0 0 13.825 -0.216 18.257 0.143 1950 8 14.944 1.387 0 0 15.769 2.212 18.609 0.979 1950 9 13.778 3.612 0 0 14.498 4.332 15.160 0.922 1950 10 3.556 -0.824 0 0 3.868 -0.511 7.907 -0.545 1950 11 0.111 1.531 0 0 1.026 2.446 2.976 0.323 1950 12 0.722 5.168 0 0 2.571 7.017 2.293 2.667 1951 1 -6.056 -0.085 0 0 -4.542 1.429 -1.973 -0.076 1951 2 -3.222 -0.480 0 0 -3.158 -0.416 1.369 0.039 1951 3 -4.278 -3.719 0 0 -5.353 -4.794 1.060 -2.455 1951 4 3.723 1.008 0 0 2.208 -0.508 7.568 0.780 1951 5 4.360 -2.597 0 0 2.637 -4.320 11.160 0.130 1951 6 9.455 -1.186 0 0 8.042 -2.600 15.252 0.538 1951 7 13.596 -0.445 1 0 NaN NaN 18.397 0.284 1951 8 13.086 -0.471 0 0 13.911 0.353 16.994 -0.636 1951 9 12.077 1.911 0 0 12.797 2.631 15.233 0.994 1951 10 3.444 -0.935 0 0 3.757 -0.622 8.014 -0.438 1951 11 -0.500 0.920 0 0 0.415 1.835 2.072 -0.581 1951 12 -3.035 1.412 1 0 NaN NaN -1.869 -1.496 1952 1 NaN NaN NaN NaN NaN NaN -4.677 -2.779 1952 2 NaN NaN NaN NaN NaN NaN 1.297 -0.034 1952 3 NaN NaN NaN NaN NaN NaN 2.420 -1.095 1952 4 NaN NaN NaN NaN NaN NaN 7.436 0.647 1952 5 NaN NaN NaN NaN NaN NaN 11.466 0.436 1952 6 NaN NaN NaN NaN NaN NaN 13.266 -1.448 1952 7 NaN NaN NaN NaN NaN NaN 18.808 0.694 1952 8 NaN NaN NaN NaN NaN NaN 17.780 0.150 1952 9 NaN NaN NaN NaN NaN NaN 16.092 1.853 1952 10 NaN NaN NaN NaN NaN NaN 11.818 3.365 1952 11 NaN NaN NaN NaN NaN NaN -0.336 -2.989 1952 12 NaN NaN NaN NaN NaN NaN -0.013 0.361