% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29194 % Primary Name: SIERRA PH % Record Type: TAVG % Country: United States % State: CA % Latitude: 34.20000 +/- 0.00005 % Longitude: -117.66670 +/- 0.00005 % Elevation (m): 915.01 +/- 0.15 % # of Months: 61 % % Alternate Names: Missing Station ID - 48213 % % IDs: coop - 48213 % ghcnd - USC00048213 % ncdc - 20001778 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: ea923c09d77d78695a04f50530774246 % Raw Data Hash: eaca94f0f19c9e791f92c8321929ff03 % Adj Data Hash: c9c9c1560872d230d12135f342b63e6a % % 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 1932 1 NaN NaN NaN NaN NaN NaN 5.269 -2.363 1932 2 NaN NaN NaN NaN NaN NaN 8.946 -0.987 1932 3 NaN NaN NaN NaN NaN NaN 12.951 0.921 1932 4 NaN NaN NaN NaN NaN NaN 15.355 -0.031 1932 5 NaN NaN NaN NaN NaN NaN 19.442 -0.490 1932 6 NaN NaN NaN NaN NaN NaN 23.864 -0.972 1932 7 NaN NaN NaN NaN NaN NaN 27.881 -0.870 1932 8 NaN NaN NaN NaN NaN NaN 26.889 -0.873 1932 9 NaN NaN NaN NaN NaN NaN 25.183 0.812 1932 10 NaN NaN NaN NaN NaN NaN 18.239 -0.146 1932 11 NaN NaN NaN NaN NaN NaN 14.400 2.473 1932 12 NaN NaN NaN NaN NaN NaN 5.575 -2.348 1933 1 7.034 1.754 0 0 7.034 1.754 5.736 -1.897 1933 2 8.152 0.571 0 0 8.152 0.571 7.323 -2.610 1933 3 11.545 1.868 0 0 11.545 1.868 12.185 0.155 1933 4 11.087 -1.946 0 0 11.087 -1.946 13.922 -1.463 1933 5 11.737 -5.842 0 0 11.737 -5.842 16.731 -3.201 1933 6 17.610 -4.873 0 0 17.610 -4.873 23.704 -1.131 1933 7 23.600 -2.799 0 0 23.600 -2.799 29.902 1.151 1933 8 22.885 -2.524 0 0 22.885 -2.524 27.551 -0.211 1933 9 19.302 -2.717 0 0 19.302 -2.717 23.899 -0.473 1933 10 19.555 3.523 0 0 19.555 3.523 21.285 2.900 1933 11 15.502 5.927 0 0 15.502 5.927 13.949 2.021 1933 12 11.302 5.731 0 0 11.302 5.731 8.796 0.873 1934 1 12.216 6.936 0 0 12.216 6.936 9.677 2.044 1934 2 10.723 3.142 0 0 10.723 3.142 11.998 2.065 1934 3 16.761 7.084 0 0 16.761 7.084 17.064 5.034 1934 4 15.890 2.857 0 0 15.890 2.857 18.859 3.473 1934 5 17.027 -0.552 0 0 17.027 -0.552 22.262 2.330 1934 6 15.432 -7.051 0 0 15.432 -7.051 22.345 -2.490 1934 7 22.974 -3.425 0 0 22.974 -3.425 29.415 0.664 1934 8 22.734 -2.675 0 0 22.734 -2.675 27.886 0.124 1934 9 20.520 -1.499 0 0 20.520 -1.499 24.662 0.291 1934 10 17.753 1.721 0 0 17.753 1.721 19.430 1.045 1934 11 13.323 3.749 0 0 13.323 3.749 12.917 0.990 1934 12 11.413 5.842 0 0 11.413 5.842 9.052 1.129 1935 1 9.144 3.864 0 0 9.144 3.864 7.721 0.089 1935 2 10.705 3.125 0 0 10.705 3.125 10.676 0.743 1935 3 8.085 -1.592 0 0 8.085 -1.592 9.629 -2.401 1935 4 12.140 -0.893 0 0 12.140 -0.893 15.121 -0.264 1935 5 12.661 -4.918 0 0 12.661 -4.918 18.437 -1.495 1935 6 19.375 -3.108 0 0 19.375 -3.108 25.768 0.933 1935 7 21.144 -5.255 0 0 21.144 -5.255 27.835 -0.917 1935 8 22.768 -2.642 0 0 22.768 -2.642 27.685 -0.077 1935 9 21.472 -0.547 0 0 21.472 -0.547 25.441 1.070 1935 10 15.060 -0.972 0 0 15.060 -0.972 17.671 -0.714 1935 11 11.802 2.227 0 0 11.802 2.227 10.718 -1.209 1935 12 10.744 5.173 0 0 10.744 5.173 8.433 0.510 1936 1 10.356 5.077 0 0 10.356 5.077 9.002 1.369 1936 2 7.952 0.371 1 0 NaN NaN 9.496 -0.438 1936 3 12.337 2.660 0 0 12.337 2.660 13.373 1.343 1936 4 13.243 0.211 0 0 13.243 0.211 17.009 1.623 1936 5 16.127 -1.452 0 0 16.127 -1.452 21.197 1.265 1936 6 20.138 -2.344 0 0 20.138 -2.344 25.738 0.903 1936 7 24.155 -2.244 0 0 24.155 -2.244 29.500 0.748 1936 8 23.666 -1.743 0 0 23.666 -1.743 28.087 0.325 1936 9 21.032 -0.987 0 0 21.032 -0.987 24.304 -0.068 1936 10 16.703 0.671 0 0 16.703 0.671 18.550 0.165 1936 11 14.550 4.975 0 0 14.550 4.975 12.961 1.034 1936 12 9.769 4.199 0 0 9.769 4.199 7.543 -0.380 1937 1 2.173 -3.107 1 0 NaN NaN 1.851 -5.781 1937 2 8.293 0.712 0 0 8.293 0.712 8.585 -1.348 1937 3 10.250 0.573 0 0 10.250 0.573 11.061 -0.969 1937 4 12.882 -0.151 0 0 12.882 -0.151 14.967 -0.418 1937 5 15.039 -2.540 0 0 15.039 -2.540 20.755 0.823 1937 6 18.628 -3.854 0 0 18.628 -3.854 24.647 -0.189 1937 7 23.152 -3.247 0 0 23.152 -3.247 29.370 0.619 1937 8 23.524 -1.885 0 0 23.524 -1.885 28.560 0.798 1937 9 21.955 -0.064 0 0 21.955 -0.064 26.233 1.861 1937 10 18.476 2.444 0 0 18.476 2.444 19.982 1.598 1937 11 12.937 3.362 0 0 12.937 3.362 13.321 1.393 1937 12 11.868 6.297 0 0 11.868 6.297 10.175 2.252 1938 1 11.211 5.931 0 0 11.211 5.931 9.670 2.037 1938 2 NaN NaN NaN NaN NaN NaN 8.980 -0.953 1938 3 NaN NaN NaN NaN NaN NaN 10.180 -1.850 1938 4 NaN NaN NaN NaN NaN NaN 15.436 0.051 1938 5 NaN NaN NaN NaN NaN NaN 19.631 -0.301 1938 6 NaN NaN NaN NaN NaN NaN 24.247 -0.588 1938 7 NaN NaN NaN NaN NaN NaN 28.638 -0.114 1938 8 NaN NaN NaN NaN NaN NaN 27.664 -0.098 1938 9 NaN NaN NaN NaN NaN NaN 26.052 1.680 1938 10 NaN NaN NaN NaN NaN NaN 17.608 -0.776 1938 11 NaN NaN NaN NaN NaN NaN 10.320 -1.607 1938 12 NaN NaN NaN NaN NaN NaN 9.726 1.803 1939 1 NaN NaN NaN NaN NaN NaN 8.000 0.368