% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31498 % Primary Name: MERCEY HOT SPRINGS % Record Type: TAVG % Country: United States % State: CA % Latitude: 36.70000 +/- 0.00005 % Longitude: -120.86670 +/- 0.00005 % Elevation (m): 356.90 +/- 0.05 % # of Months: 131 % % IDs: coop - 45550 % ghcnd - USC00045550 % ncdc - 20002266 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: ec96ca12d8dd8691a6e1883d4cdc915d % Raw Data Hash: c8d10d9f05ac593d235af5e3519bb3a8 % Adj Data Hash: 2c0ebf61beefbc84f78889eddd4e5fe1 % % 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 1931 9 NaN NaN NaN NaN NaN NaN 18.884 -0.577 1931 10 NaN NaN NaN NaN NaN NaN 16.155 -0.044 1931 11 NaN NaN NaN NaN NaN NaN 10.297 -1.704 1931 12 NaN NaN NaN NaN NaN NaN 8.144 -0.987 1932 1 NaN NaN NaN NaN NaN NaN 7.301 -1.545 1932 2 NaN NaN NaN NaN NaN NaN 9.149 -1.136 1932 3 NaN NaN NaN NaN NaN NaN 11.705 0.771 1932 4 NaN NaN NaN NaN NaN NaN 11.876 -0.616 1932 5 NaN NaN NaN NaN NaN NaN 15.390 0.043 1932 6 NaN NaN NaN NaN NaN NaN 18.034 -0.248 1932 7 NaN NaN NaN NaN NaN NaN 20.242 -0.431 1932 8 NaN NaN NaN NaN NaN NaN 19.905 -0.631 1932 9 22.400 1.008 1 0 NaN NaN 20.278 0.817 1932 10 16.111 -2.019 0 0 16.111 -2.019 16.246 0.047 1932 11 11.667 -2.265 0 0 11.667 -2.265 14.196 2.195 1932 12 3.222 -7.840 0 0 3.222 -7.840 6.629 -2.502 1933 1 3.389 -7.387 0 0 3.389 -7.387 6.421 -2.424 1933 2 5.778 -6.438 0 0 5.778 -6.438 8.254 -2.031 1933 3 10.556 -2.309 0 0 10.556 -2.309 10.674 -0.260 1933 4 12.889 -1.534 0 0 12.889 -1.534 11.909 -0.583 1933 5 15.056 -2.222 0 0 15.056 -2.222 13.024 -2.323 1933 6 20.278 0.065 0 0 20.278 0.065 16.745 -1.537 1933 7 29.000 6.396 0 0 29.000 6.396 21.275 0.602 1933 8 27.889 5.421 0 0 27.889 5.421 20.926 0.389 1933 9 21.500 0.108 0 0 21.500 0.108 18.072 -1.390 1933 10 21.722 3.592 0 0 21.722 3.592 18.172 1.973 1933 11 12.111 -1.821 0 0 12.111 -1.821 13.146 1.144 1933 12 7.444 -3.618 0 0 7.444 -3.618 9.173 0.042 1934 1 6.111 -4.665 0 0 6.111 -4.665 9.523 0.678 1934 2 9.444 -2.771 0 0 9.444 -2.771 11.806 1.521 1934 3 14.222 1.358 0 0 14.222 1.358 14.607 3.673 1934 4 17.667 3.243 0 0 17.667 3.243 15.051 2.558 1934 5 19.722 2.445 0 0 19.722 2.445 16.991 1.644 1934 6 21.611 1.398 0 0 21.611 1.398 17.021 -1.261 1934 7 27.944 5.341 0 0 27.944 5.341 20.795 0.122 1934 8 27.389 4.921 0 0 27.389 4.921 20.642 0.106 1934 9 25.667 4.274 0 0 25.667 4.274 19.987 0.526 1934 10 -17.778 -35.908 1 0 NaN NaN 16.200 0.000 1934 11 -17.778 -31.710 1 0 NaN NaN 12.731 0.730 1934 12 -17.778 -28.840 1 0 NaN NaN 9.398 0.267 1935 1 6.056 -4.720 0 0 6.056 -4.720 8.520 -0.325 1935 2 7.667 -4.549 0 0 7.667 -4.549 10.459 0.174 1935 3 7.667 -5.198 0 0 7.667 -5.198 8.462 -2.471 1935 4 14.000 -0.423 0 0 14.000 -0.423 12.686 0.194 1935 5 17.667 0.389 0 0 17.667 0.389 15.007 -0.340 1935 6 24.500 4.287 0 0 24.500 4.287 18.783 0.501 1935 7 25.056 2.452 0 0 25.056 2.452 20.018 -0.655 1935 8 27.000 4.533 0 0 27.000 4.533 20.656 0.120 1935 9 22.667 1.274 0 0 22.667 1.274 19.919 0.458 1935 10 15.889 -2.241 0 0 15.889 -2.241 15.355 -0.844 1935 11 10.667 -3.265 0 0 10.667 -3.265 10.445 -1.556 1935 12 9.056 -2.006 0 0 9.056 -2.006 9.586 0.455 1936 1 9.667 -1.109 0 0 9.667 -1.109 10.235 1.390 1936 2 10.222 -1.993 0 0 10.222 -1.993 10.107 -0.177 1936 3 13.000 0.135 0 0 13.000 0.135 11.892 0.959 1936 4 15.778 1.355 0 0 15.778 1.355 13.389 0.897 1936 5 20.889 3.611 0 0 20.889 3.611 16.520 1.173 1936 6 24.111 3.898 0 0 24.111 3.898 18.778 0.496 1936 7 29.778 7.174 0 0 29.778 7.174 21.613 0.940 1936 8 28.333 5.866 0 0 28.333 5.866 20.870 0.333 1936 9 24.667 3.274 0 0 24.667 3.274 20.227 0.765 1936 10 19.111 0.981 0 0 19.111 0.981 17.332 1.132 1936 11 13.389 -0.543 0 0 13.389 -0.543 12.704 0.703 1936 12 7.222 -3.840 0 0 7.222 -3.840 8.642 -0.489 1937 1 2.833 -7.943 0 0 2.833 -7.943 4.864 -3.981 1937 2 7.556 -4.660 0 0 7.556 -4.660 8.943 -1.342 1937 3 10.111 -2.753 0 0 10.111 -2.753 10.567 -0.367 1937 4 14.222 -0.201 0 0 14.222 -0.201 11.718 -0.775 1937 5 21.111 3.833 0 0 21.111 3.833 15.754 0.407 1937 6 22.500 2.287 0 0 22.500 2.287 18.413 0.130 1937 7 NaN NaN NaN NaN NaN NaN 21.363 0.690 1937 8 26.889 4.421 0 0 26.889 4.421 20.774 0.237 1937 9 23.556 2.163 0 0 23.556 2.163 19.917 0.456 1937 10 19.056 0.925 0 0 19.056 0.925 17.407 1.208 1937 11 12.889 -1.043 0 0 12.889 -1.043 13.011 1.010 1937 12 9.444 -1.618 0 0 9.444 -1.618 10.607 1.476 1938 1 6.778 -3.998 0 0 6.778 -3.998 9.629 0.784 1938 2 9.111 -3.104 0 0 9.111 -3.104 10.164 -0.120 1938 3 9.111 -3.753 0 0 9.111 -3.753 9.362 -1.572 1938 4 13.222 -1.201 0 0 13.222 -1.201 12.187 -0.306 1938 5 19.556 2.278 0 0 19.556 2.278 15.363 0.016 1938 6 24.722 4.509 0 0 24.722 4.509 18.054 -0.229 1938 7 26.222 3.618 0 0 26.222 3.618 21.026 0.353 1938 8 25.667 3.199 0 0 25.667 3.199 20.213 -0.323 1938 9 23.556 2.163 0 0 23.556 2.163 20.112 0.650 1938 10 16.778 -1.352 0 0 16.778 -1.352 15.793 -0.406 1938 11 10.444 -3.488 0 0 10.444 -3.488 11.056 -0.945 1938 12 8.111 -2.951 0 0 8.111 -2.951 10.539 1.407 1939 1 7.389 -3.387 0 0 7.389 -3.387 8.981 0.136 1939 2 7.667 -4.549 0 0 7.667 -4.549 8.129 -2.155 1939 3 12.333 -0.531 0 0 12.333 -0.531 10.291 -0.643 1939 4 17.889 3.466 0 0 17.889 3.466 14.366 1.873 1939 5 20.000 2.722 0 0 20.000 2.722 15.722 0.375 1939 6 24.111 3.898 0 0 24.111 3.898 18.019 -0.264 1939 7 28.000 5.396 0 0 28.000 5.396 20.923 0.250 1939 8 27.389 4.921 0 0 27.389 4.921 20.835 0.298 1939 9 23.667 2.274 0 0 23.667 2.274 21.015 1.553 1939 10 17.333 -0.797 0 0 17.333 -0.797 16.742 0.542 1939 11 13.556 -0.376 0 0 13.556 -0.376 13.355 1.354 1939 12 10.222 -0.840 0 0 10.222 -0.840 11.176 2.045 1940 1 8.222 -2.554 0 0 8.222 -2.554 10.841 1.996 1940 2 10.278 -1.938 0 0 10.278 -1.938 11.468 1.183 1940 3 NaN NaN NaN NaN NaN NaN 12.316 1.382 1940 4 NaN NaN NaN NaN NaN NaN 13.451 0.958 1940 5 21.222 3.945 0 0 21.222 3.945 16.416 1.069 1940 6 26.611 6.398 0 0 26.611 6.398 19.434 1.152 1940 7 26.389 3.785 0 0 26.389 3.785 20.607 -0.066 1940 8 26.444 3.977 0 0 26.444 3.977 20.355 -0.181 1940 9 21.056 -0.337 0 0 21.056 -0.337 19.061 -0.401 1940 10 18.444 0.314 0 0 18.444 0.314 16.625 0.426 1940 11 11.556 -2.376 0 0 11.556 -2.376 11.654 -0.347 1940 12 11.111 0.049 0 0 11.111 0.049 11.718 2.587 1941 1 10.111 -0.665 0 0 10.111 -0.665 10.430 1.585 1941 2 11.278 -0.938 0 0 11.278 -0.938 11.832 1.548 1941 3 12.333 -0.531 0 0 12.333 -0.531 12.130 1.197 1941 4 12.556 -1.868 0 0 12.556 -1.868 11.559 -0.933 1941 5 19.333 2.056 0 0 19.333 2.056 16.500 1.153 1941 6 21.778 1.565 0 0 21.778 1.565 17.325 -0.957 1941 7 27.389 4.785 0 0 27.389 4.785 21.039 0.366 1941 8 24.000 1.533 0 0 24.000 1.533 19.842 -0.695 1941 9 21.000 -0.392 0 0 21.000 -0.392 18.508 -0.953 1941 10 16.278 -1.852 0 0 16.278 -1.852 15.284 -0.915 1941 11 12.667 -1.265 0 0 12.667 -1.265 13.381 1.380 1941 12 9.222 -1.840 0 0 9.222 -1.840 10.104 0.972 1942 1 7.444 -3.331 0 0 7.444 -3.331 9.977 1.132 1942 2 7.944 -4.271 0 0 7.944 -4.271 9.268 -1.017 1942 3 10.278 -2.587 0 0 10.278 -2.587 10.273 -0.660 1942 4 13.722 -0.701 0 0 13.722 -0.701 11.995 -0.497 1942 5 16.167 -1.111 0 0 16.167 -1.111 14.246 -1.101 1942 6 22.778 2.565 0 0 22.778 2.565 17.642 -0.640 1942 7 27.556 4.952 0 0 27.556 4.952 21.383 0.710 1942 8 26.778 4.310 0 0 26.778 4.310 20.320 -0.217 1942 9 22.111 0.719 0 0 22.111 0.719 18.825 -0.636 1942 10 18.667 0.536 0 0 18.667 0.536 16.861 0.661 1942 11 11.556 -2.376 0 0 11.556 -2.376 12.273 0.272 1942 12 9.667 -1.395 0 0 9.667 -1.395 9.468 0.337 1943 1 7.944 -2.831 0 0 7.944 -2.831 9.282 0.437 1943 2 10.278 -1.938 0 0 10.278 -1.938 11.431 1.147 1943 3 12.333 -0.531 0 0 12.333 -0.531 12.066 1.133 1943 4 14.778 0.355 0 0 14.778 0.355 13.351 0.858 1943 5 20.000 2.722 0 0 20.000 2.722 16.253 0.906 1943 6 20.333 0.120 0 0 20.333 0.120 16.568 -1.714 1943 7 26.556 3.952 0 0 26.556 3.952 20.251 -0.422 1943 8 24.333 1.866 0 0 24.333 1.866 19.051 -1.486 1943 9 24.000 2.608 0 0 24.000 2.608 20.314 0.852 1943 10 17.056 -1.075 0 0 17.056 -1.075 16.057 -0.143 1943 11 NaN NaN NaN NaN NaN NaN 13.098 1.097 1943 12 NaN NaN NaN NaN NaN NaN 9.903 0.772 1944 1 NaN NaN NaN NaN NaN NaN 9.490 0.645 1944 2 NaN NaN NaN NaN NaN NaN 9.088 -1.197 1944 3 NaN NaN NaN NaN NaN NaN 11.085 0.151 1944 4 NaN NaN NaN NaN NaN NaN 11.061 -1.432 1944 5 NaN NaN NaN NaN NaN NaN 15.097 -0.250 1944 6 NaN NaN NaN NaN NaN NaN 16.618 -1.664 1944 7 NaN NaN NaN NaN NaN NaN 19.221 -1.452 1944 8 NaN NaN NaN NaN NaN NaN 19.801 -0.735 1944 9 NaN NaN NaN NaN NaN NaN 20.089 0.627 1944 10 NaN NaN NaN NaN NaN NaN 17.079 0.879