% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34644 % Primary Name: LAKE WILENOR % Record Type: TAVG % Country: United States % State: CA % Latitude: 39.60000 +/- 0.00005 % Longitude: -121.53330 +/- 0.00005 % Elevation (m): 61.00 +/- 0.05 % # of Months: 59 % % IDs: coop - 44722 % ghcnd - USC00044722 % ncdc - 20002955 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 13ee081adad4f08fb17664096364e3ba % Raw Data Hash: 004c28a43547a8cfe6a46b0592c0cd60 % Adj Data Hash: afabb95103d7fbb44207d102d9d1737c % % 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 1942 1 NaN NaN NaN NaN NaN NaN 2.495 -0.290 1942 2 NaN NaN NaN NaN NaN NaN 3.201 -1.485 1942 3 NaN NaN NaN NaN NaN NaN 5.202 -0.815 1942 4 NaN NaN NaN NaN NaN NaN 7.846 -0.903 1942 5 NaN NaN NaN NaN NaN NaN 10.637 -2.498 1942 6 NaN NaN NaN NaN NaN NaN 16.322 -1.187 1942 7 NaN NaN NaN NaN NaN NaN 22.096 0.747 1942 8 NaN NaN NaN NaN NaN NaN 20.726 0.203 1942 9 NaN NaN NaN NaN NaN NaN 17.638 -0.145 1942 10 NaN NaN NaN NaN NaN NaN 13.760 1.133 1942 11 NaN NaN NaN NaN NaN NaN 7.192 0.135 1942 12 NaN NaN NaN NaN NaN NaN 4.347 0.884 1943 1 7.111 1.668 0 0 7.111 1.668 3.637 0.853 1943 2 5.030 -2.315 1 0 NaN NaN 5.863 1.177 1943 3 9.600 0.924 1 0 NaN NaN 6.594 0.577 1943 4 12.750 1.342 1 0 NaN NaN 10.042 1.293 1943 5 16.087 0.294 0 0 16.087 0.294 13.874 0.739 1943 6 17.007 -3.161 0 0 17.007 -3.161 14.425 -3.085 1943 7 23.853 -0.154 0 0 23.853 -0.154 21.676 0.327 1943 8 21.565 -1.617 0 0 21.565 -1.617 18.794 -1.729 1943 9 22.850 2.408 0 0 22.850 2.408 19.852 2.069 1943 10 14.940 -0.345 0 0 14.940 -0.345 12.625 -0.003 1943 11 11.827 2.111 0 0 11.827 2.111 7.981 0.923 1943 12 7.859 1.738 1 0 NaN NaN 3.771 0.308 1944 1 6.356 0.913 0 0 6.356 0.913 2.672 -0.113 1944 2 5.467 -1.877 0 0 5.467 -1.877 3.602 -1.084 1944 3 9.826 1.150 0 0 9.826 1.150 5.681 -0.336 1944 4 8.747 -2.661 0 0 8.747 -2.661 6.792 -1.958 1944 5 15.279 -0.514 0 0 15.279 -0.514 13.174 0.040 1944 6 16.438 -3.729 0 0 16.438 -3.729 14.643 -2.867 1944 7 22.545 -1.462 0 0 22.545 -1.462 20.519 -0.830 1944 8 23.232 0.051 0 0 23.232 0.051 19.828 -0.695 1944 9 23.225 2.783 0 0 23.225 2.783 19.234 1.451 1944 10 16.990 1.705 0 0 16.990 1.705 14.187 1.560 1944 11 8.290 -1.425 0 0 8.290 -1.425 5.259 -1.798 1944 12 8.600 2.478 0 0 8.600 2.478 4.481 1.018 1945 1 6.534 1.091 0 0 6.534 1.091 3.056 0.271 1945 2 7.343 -0.002 0 0 7.343 -0.002 5.348 0.662 1945 3 5.711 -2.964 0 0 5.711 -2.964 3.648 -2.369 1945 4 12.417 1.009 0 0 12.417 1.009 8.886 0.136 1945 5 13.431 -2.362 0 0 13.431 -2.362 12.049 -1.086 1945 6 19.932 -0.236 0 0 19.932 -0.236 16.952 -0.557 1945 7 25.639 1.632 0 0 25.639 1.632 22.779 1.430 1945 8 22.931 -0.251 0 0 22.931 -0.251 20.163 -0.360 1945 9 22.213 1.772 0 0 22.213 1.772 18.788 1.005 1945 10 16.832 1.546 0 0 16.832 1.546 14.319 1.692 1945 11 7.812 -1.904 0 0 7.812 -1.904 6.201 -0.856 1945 12 5.744 -0.378 0 0 5.744 -0.378 3.251 -0.212 1946 1 5.576 0.133 0 0 5.576 0.133 2.795 0.010 1946 2 NaN NaN NaN NaN NaN NaN 3.194 -1.493 1946 3 7.773 -0.903 0 0 7.773 -0.903 5.547 -0.471 1946 4 12.400 0.992 0 0 12.400 0.992 10.023 1.273 1946 5 15.171 -0.622 0 0 15.171 -0.622 13.508 0.373 1946 6 17.800 -2.368 0 0 17.800 -2.368 15.948 -1.561 1946 7 23.111 -0.896 0 0 23.111 -0.896 21.480 0.131 1946 8 23.519 0.338 0 0 23.519 0.338 20.817 0.294 1946 9 20.348 -0.093 0 0 20.348 -0.093 17.682 -0.101 1946 10 12.411 -2.875 0 0 12.411 -2.875 10.535 -2.093 1946 11 NaN NaN NaN NaN NaN NaN 5.581 -1.476 1946 12 7.598 1.477 0 0 7.598 1.477 4.259 0.796 1947 1 6.132 0.689 0 0 6.132 0.689 2.063 -0.722 1947 2 9.159 1.814 0 0 9.159 1.814 6.906 2.220 1947 3 10.413 1.737 0 0 10.413 1.737 7.330 1.312 1947 4 13.640 2.232 0 0 13.640 2.232 10.242 1.493 1947 5 18.435 2.642 0 0 18.435 2.642 16.064 2.929 1947 6 18.752 -1.416 0 0 18.752 -1.416 16.428 -1.081 1947 7 NaN NaN NaN NaN NaN NaN 19.594 -1.754 1947 8 20.311 -2.870 0 0 20.311 -2.870 18.837 -1.686 1947 9 22.387 1.945 0 0 22.387 1.945 19.205 1.422 1947 10 13.485 -1.800 0 0 13.485 -1.800 12.507 -0.121 1947 11 8.453 -1.262 0 0 8.453 -1.262 5.116 -1.941 1947 12 6.716 0.595 0 0 6.716 0.595 3.104 -0.360 1948 1 NaN NaN NaN NaN NaN NaN 5.418 2.633 1948 2 5.334 -2.010 0 0 5.334 -2.010 3.124 -1.562 1948 3 5.797 -2.879 0 0 5.797 -2.879 3.387 -2.630 1948 4 NaN NaN NaN NaN NaN NaN 6.304 -2.446 1948 5 NaN NaN NaN NaN NaN NaN 10.682 -2.453 1948 6 NaN NaN NaN NaN NaN NaN 16.482 -1.027 1948 7 NaN NaN NaN NaN NaN NaN 20.276 -1.073 1948 8 NaN NaN NaN NaN NaN NaN 18.816 -1.707 1948 9 NaN NaN NaN NaN NaN NaN 17.554 -0.229 1948 10 NaN NaN NaN NaN NaN NaN 13.015 0.387 1948 11 NaN NaN NaN NaN NaN NaN 6.455 -0.602 1948 12 NaN NaN NaN NaN NaN NaN 0.645 -2.818 1949 1 NaN NaN NaN NaN NaN NaN -2.176 -4.961 1949 2 NaN NaN NaN NaN NaN NaN 1.452 -3.234 1949 3 NaN NaN NaN NaN NaN NaN 4.487 -1.530