% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 161503 % Primary Name: SILVER LAKE CAA AP % Record Type: TAVG % Country: United States % State: CA % Latitude: 35.33333 +/- 0.00833 % Longitude: -116.09579 +/- 0.01254 % Elevation (m): 281.45 +/- 0.50 % # of Months: 145 % % Alternate Names: Missing Station ID - 48250 % SILVER LAKE AP % % IDs: coop - 48250 % ghcnd - USW00023192 % gsod - 999999-23192 % ncdc - 20002029 % wban - 23192 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Global Summary of the Day % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: a9cdba4881184d121bf80b3c38222c1a % Raw Data Hash: d8638bd352345969424dd39960ab703c % Adj Data Hash: 377017cdee4c96d73405cab3152e419a % % 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 1939 10 NaN NaN NaN NaN NaN NaN 18.133 -0.251 1939 11 NaN NaN NaN NaN NaN NaN 14.110 2.183 1939 12 NaN NaN NaN NaN NaN NaN 10.642 2.719 1940 1 NaN NaN NaN NaN NaN NaN 9.587 1.955 1940 2 NaN NaN NaN NaN NaN NaN 10.271 0.338 1940 3 NaN NaN NaN NaN NaN NaN 13.640 1.610 1940 4 NaN NaN NaN NaN NaN NaN 16.316 0.931 1940 5 NaN NaN NaN NaN NaN NaN 22.200 2.268 1940 6 NaN NaN NaN NaN NaN NaN 26.511 1.676 1940 7 NaN NaN NaN NaN NaN NaN 28.168 -0.583 1940 8 NaN NaN NaN NaN NaN NaN 28.047 0.285 1940 9 NaN NaN NaN NaN NaN NaN 23.158 -1.214 1940 10 21.667 -0.145 0 0 21.728 -0.084 19.195 0.810 1940 11 11.611 -3.743 0 0 11.784 -3.570 11.136 -0.791 1940 12 9.889 -1.461 0 0 10.115 -1.236 9.575 1.652 1941 1 10.056 -1.004 0 0 10.239 -0.820 8.600 0.967 1941 2 13.778 0.417 0 0 13.866 0.505 11.285 1.352 1941 3 15.222 -0.235 0 0 15.222 -0.235 11.810 -0.220 1941 4 17.056 -1.757 0 0 16.990 -1.822 13.105 -2.280 1941 5 25.222 1.863 0 0 25.106 1.747 20.643 0.711 1941 6 28.278 0.015 0 0 28.131 -0.132 22.843 -1.992 1941 7 33.278 1.099 0 0 33.134 0.955 28.539 -0.213 1941 8 30.444 -0.745 0 0 30.335 -0.854 25.487 -2.275 1941 9 25.444 -2.354 0 0 25.402 -2.397 21.673 -2.698 1941 10 18.444 -3.368 0 0 18.506 -3.306 16.287 -2.097 1941 11 13.111 -2.243 0 0 13.284 -2.070 12.791 0.864 1941 12 9.278 -2.073 0 0 9.503 -1.847 7.874 -0.049 1942 1 9.111 -1.949 0 0 9.295 -1.765 8.572 0.940 1942 2 10.389 -2.972 0 0 10.477 -2.884 8.444 -1.490 1942 3 13.667 -1.790 0 0 13.666 -1.791 11.125 -0.905 1942 4 19.889 1.076 0 0 19.823 1.011 14.602 -0.783 1942 5 24.111 0.752 0 0 23.995 0.636 18.791 -1.141 1942 6 30.889 2.626 0 0 30.742 2.479 24.546 -0.290 1942 7 35.944 3.766 0 0 35.800 3.622 30.405 1.654 1942 8 33.333 2.144 0 0 33.224 2.035 27.747 -0.015 1942 9 27.333 -0.465 0 0 27.291 -0.508 23.431 -0.941 1942 10 21.667 -0.145 0 0 21.728 -0.084 19.058 0.674 1942 11 14.111 -1.243 0 0 14.284 -1.070 13.189 1.262 1942 12 10.056 -1.295 0 0 10.281 -1.069 9.409 1.486 1943 1 9.556 -1.504 0 0 9.739 -1.320 8.484 0.851 1943 2 12.722 -0.638 0 0 12.810 -0.550 11.242 1.309 1943 3 16.889 1.432 0 0 16.888 1.431 13.217 1.187 1943 4 21.722 2.910 0 0 21.657 2.844 16.815 1.430 1943 5 26.389 3.030 0 0 26.273 2.913 21.188 1.256 1943 6 28.056 -0.207 0 0 27.909 -0.354 22.591 -2.244 1943 7 33.611 1.432 0 0 33.467 1.288 28.382 -0.369 1943 8 31.889 0.700 0 0 31.779 0.590 27.108 -0.654 1943 9 29.444 1.646 0 0 29.402 1.603 26.011 1.640 1943 10 21.667 -0.145 0 0 21.728 -0.084 19.245 0.860 1943 11 12.333 -3.021 0 0 12.506 -2.848 12.277 0.350 1943 12 9.500 -1.850 0 0 9.726 -1.625 7.773 -0.150 1944 1 7.889 -3.171 0 0 8.073 -2.987 7.186 -0.446 1944 2 9.556 -3.805 0 0 9.644 -3.717 7.729 -2.204 1944 3 14.667 -0.790 0 0 14.666 -0.791 11.032 -0.998 1944 4 18.111 -0.701 0 0 18.046 -0.767 13.750 -1.635 1944 5 24.556 1.197 0 0 24.439 1.080 19.233 -0.699 1944 6 26.778 -1.485 0 0 26.631 -1.632 20.989 -3.846 1944 7 32.556 0.377 0 0 32.411 0.233 26.938 -1.813 1944 8 32.556 1.366 0 0 32.446 1.257 27.275 -0.487 1944 9 28.778 0.979 0 0 28.735 0.936 24.809 0.437 1944 10 22.556 0.744 0 0 22.617 0.805 19.207 0.823 1944 11 13.333 -2.021 0 0 13.506 -1.848 10.637 -1.290 1944 12 9.111 -2.239 0 0 9.337 -2.014 8.385 0.462 1945 1 8.944 -2.115 0 0 9.128 -1.932 7.940 0.307 1945 2 12.111 -1.249 0 0 12.199 -1.161 9.927 -0.006 1945 3 12.889 -2.568 0 0 12.888 -2.569 9.196 -2.834 1945 4 19.444 0.632 0 0 19.379 0.567 15.056 -0.330 1945 5 24.889 1.530 0 0 24.773 1.413 19.203 -0.729 1945 6 29.389 1.126 0 0 29.242 0.979 23.557 -1.278 1945 7 35.222 3.044 0 0 35.078 2.899 29.838 1.087 1945 8 31.500 0.311 0 0 31.391 0.201 27.105 -0.657 1945 9 29.000 1.201 0 0 28.957 1.159 25.095 0.723 1945 10 21.333 -0.479 0 0 21.394 -0.417 19.085 0.700 1945 11 12.667 -2.688 0 0 12.840 -2.515 11.391 -0.536 1945 12 7.222 -4.128 0 0 7.448 -3.902 7.148 -0.776 1946 1 8.556 -2.504 0 0 8.739 -2.320 7.826 0.193 1946 2 10.444 -2.916 0 0 10.533 -2.828 8.848 -1.085 1946 3 15.000 -0.457 0 0 15.000 -0.458 11.431 -0.599 1946 4 21.778 2.965 0 0 21.712 2.900 17.481 2.096 1946 5 25.500 2.141 0 0 25.384 2.025 19.708 -0.224 1946 6 31.389 3.126 0 0 31.242 2.979 25.084 0.248 1946 7 33.889 1.710 0 0 33.745 1.566 28.487 -0.265 1946 8 33.556 2.366 0 0 33.446 2.257 27.982 0.220 1946 9 28.778 0.979 0 0 28.735 0.936 25.027 0.655 1946 10 18.667 -3.145 0 0 18.728 -3.084 16.177 -2.208 1946 11 11.111 -4.243 0 0 11.284 -4.070 9.859 -2.068 1946 12 10.111 -1.239 0 0 10.337 -1.014 9.395 1.472 1947 1 7.389 -3.671 0 0 7.573 -3.487 7.311 -0.321 1947 2 12.722 -0.638 0 0 12.810 -0.550 11.968 2.034 1947 3 17.111 1.654 0 0 17.111 1.653 13.313 1.283 1947 4 20.778 1.965 0 0 20.712 1.900 16.404 1.019 1947 5 27.722 4.363 0 0 27.606 4.247 21.952 2.021 1947 6 29.278 1.015 0 0 29.131 0.868 23.732 -1.103 1947 7 33.556 1.377 0 0 33.411 1.233 28.699 -0.053 1947 8 31.667 0.478 0 0 31.557 0.368 26.241 -1.521 1947 9 30.444 2.646 0 0 30.402 2.603 26.370 1.999 1947 10 21.556 -0.256 0 0 21.617 -0.195 18.861 0.476 1947 11 11.944 -3.410 0 0 12.118 -3.237 10.010 -1.917 1947 12 8.389 -2.961 0 0 8.615 -2.736 7.179 -0.744 1948 1 8.889 -2.171 0 0 9.073 -1.987 9.126 1.493 1948 2 10.333 -3.027 0 0 10.421 -2.939 8.636 -1.297 1948 3 12.111 -3.346 0 0 12.111 -3.347 8.993 -3.037 1948 4 19.889 1.076 0 0 19.823 1.011 15.194 -0.191 1948 5 23.944 0.585 0 0 23.828 0.469 18.813 -1.119 1948 6 29.722 1.460 0 0 29.575 1.313 23.579 -1.256 1948 7 33.000 0.821 0 0 32.856 0.677 27.638 -1.114 1948 8 32.222 1.033 0 0 32.113 0.924 26.600 -1.162 1948 9 28.556 0.757 0 0 28.513 0.714 24.828 0.457 1948 10 21.111 -0.701 0 0 21.172 -0.640 18.459 0.074 1948 11 11.944 -3.410 0 0 12.118 -3.237 10.697 -1.230 1948 12 6.944 -4.406 0 0 7.170 -4.180 5.637 -2.286 1949 1 3.333 -7.726 1 0 NaN NaN 2.276 -5.356 1949 2 8.500 -4.861 0 0 8.588 -4.772 6.715 -3.219 1949 3 14.444 -1.013 0 0 14.444 -1.013 10.218 -1.812 1949 4 22.167 3.354 0 0 22.101 3.289 17.217 1.831 1949 5 24.333 0.974 0 0 24.217 0.858 19.157 -0.775 1949 6 31.278 3.015 0 0 31.131 2.868 25.300 0.465 1949 7 34.667 2.488 0 0 34.523 2.344 28.559 -0.193 1949 8 32.167 0.978 0 0 32.057 0.868 26.398 -1.364 1949 9 29.944 2.146 0 0 29.902 2.103 25.705 1.334 1949 10 19.667 -2.145 0 0 19.728 -2.084 17.265 -1.119 1949 11 15.167 -0.188 0 0 15.340 -0.015 15.122 3.195 1949 12 7.389 -3.961 0 0 7.615 -3.736 6.787 -1.136 1950 1 6.722 -4.338 0 0 6.906 -4.154 5.539 -2.094 1950 2 12.833 -0.527 0 0 12.921 -0.439 11.457 1.523 1950 3 16.222 0.765 0 0 16.222 0.765 12.620 0.590 1950 4 22.222 3.410 0 0 22.157 3.344 17.631 2.246 1950 5 25.333 1.974 0 0 25.217 1.858 19.536 -0.396 1950 6 29.500 1.238 0 0 29.353 1.091 23.583 -1.252 1950 7 34.258 2.079 0 0 34.114 1.935 28.934 0.182 1950 8 NaN NaN NaN NaN NaN NaN 27.384 -0.378 1950 9 26.395 -1.404 1 0 NaN NaN 23.380 -0.992 1950 10 23.111 1.299 0 1 22.690 0.878 20.806 2.422 1950 11 16.722 1.368 0 0 15.531 0.176 14.700 2.773 1950 12 11.556 0.205 0 0 10.002 -1.348 11.661 3.738 1951 1 8.500 -2.560 0 0 7.235 -3.825 8.050 0.418 1951 2 11.389 -1.972 0 0 10.783 -2.578 9.522 -0.411 1951 3 15.611 0.154 0 0 15.614 0.157 11.783 -0.247 1951 4 20.111 1.299 0 0 20.561 1.749 15.502 0.117 1951 5 25.167 1.808 0 0 25.968 2.609 20.039 0.108 1951 6 30.111 1.849 0 0 31.122 2.860 23.884 -0.951 1951 7 34.389 2.210 0 0 35.380 3.202 29.344 0.593 1951 8 32.333 1.144 0 0 33.086 1.897 27.007 -0.755 1951 9 29.833 2.035 0 0 30.128 2.329 25.915 1.543 1951 10 19.889 -1.923 0 0 19.468 -2.344 18.344 -0.041 1951 11 14.893 -0.462 1 0 NaN NaN 11.337 -0.590 1951 12 NaN NaN NaN NaN NaN NaN 6.748 -1.175 1952 1 10.385 -0.675 1 0 NaN NaN 5.862 -1.771 1952 2 12.003 -1.358 1 0 NaN NaN 9.652 -0.281 1952 3 NaN NaN NaN NaN NaN NaN 8.713 -3.317 1952 4 19.392 0.579 1 0 NaN NaN 15.155 -0.230 1952 5 25.333 1.974 0 0 26.134 2.775 21.586 1.654 1952 6 26.667 -1.596 0 0 27.678 -0.584 21.849 -2.987 1952 7 32.833 0.655 0 0 33.825 1.646 28.585 -0.166 1952 8 33.824 2.634 1 0 NaN NaN 28.392 0.630 1952 9 29.222 1.424 0 0 29.517 1.718 25.359 0.988 1952 10 24.465 2.653 1 0 NaN NaN 21.584 3.199 1952 11 8.425 -6.929 1 0 NaN NaN 10.022 -1.905 1952 12 9.644 -1.706 1 0 NaN NaN 7.368 -0.555 1953 1 10.830 -0.230 1 0 NaN NaN 10.646 3.013 1953 2 NaN NaN NaN NaN NaN NaN 9.433 -0.501 1953 3 NaN NaN NaN NaN NaN NaN 11.776 -0.254 1953 4 NaN NaN NaN NaN NaN NaN 14.727 -0.659 1953 5 NaN NaN NaN NaN NaN NaN 16.066 -3.866 1953 6 NaN NaN NaN NaN NaN NaN 22.769 -2.066 1953 7 NaN NaN NaN NaN NaN NaN 30.137 1.385 1953 8 NaN NaN NaN NaN NaN NaN 26.608 -1.154 1953 9 NaN NaN NaN NaN NaN NaN 25.332 0.960 1953 10 NaN NaN NaN NaN NaN NaN 18.393 0.009 1953 11 NaN NaN NaN NaN NaN NaN 13.197 1.270 1953 12 NaN NaN NaN NaN NaN NaN 7.927 0.003 1954 1 NaN NaN NaN NaN NaN NaN 8.067 0.434