% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 171821 % Primary Name: BURMA SPRING NEVADA % Record Type: TAVG % Country: United States % State: NV % Latitude: 41.21860 +/- 0.00005 % Longitude: -117.40030 +/- 0.00005 % Elevation (m): 1386.80 +/- 0.50 % # of Months: 91 % % IDs: ghcnd - USR0000NBUR % % Sources: Global Historical Climatology Network - Daily % % Site Hash: b4033d579a063bd1b7685e02028cfe10 % Raw Data Hash: 33f97d5621bde6d7180fcd0a28b2ee49 % Adj Data Hash: 88a943ee81f2506e0087f938c84b1be8 % % 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 1988 8 NaN NaN NaN NaN NaN NaN 20.427 0.444 1988 9 NaN NaN NaN NaN NaN NaN 14.717 -0.399 1988 10 NaN NaN NaN NaN NaN NaN 13.391 4.314 1988 11 NaN NaN NaN NaN NaN NaN 2.249 -0.390 1988 12 NaN NaN NaN NaN NaN NaN -3.204 -1.552 1989 1 NaN NaN NaN NaN NaN NaN -5.723 -3.364 1989 2 NaN NaN NaN NaN NaN NaN -2.539 -3.141 1989 3 NaN NaN NaN NaN NaN NaN 4.289 1.593 1989 4 NaN NaN NaN NaN NaN NaN 8.954 2.573 1989 5 NaN NaN NaN NaN NaN NaN 11.450 -0.098 1989 6 NaN NaN NaN NaN NaN NaN 16.580 0.160 1989 7 NaN NaN NaN NaN NaN NaN 22.552 1.128 1989 8 19.703 -2.040 1 0 NaN NaN 18.486 -1.497 1989 9 17.133 0.257 0 0 17.133 0.257 15.089 -0.027 1989 10 10.111 -0.726 0 0 10.111 -0.726 8.933 -0.144 1989 11 4.683 0.284 0 0 4.683 0.284 2.973 0.334 1989 12 1.315 1.206 0 0 1.315 1.206 -0.527 1.125 1990 1 0.576 1.174 0 0 0.576 1.174 -0.693 1.665 1990 2 -0.614 -2.976 0 0 -0.614 -2.976 -1.357 -1.959 1990 3 6.410 1.954 0 0 6.410 1.954 4.150 1.454 1990 4 11.883 3.742 0 0 11.883 3.742 9.593 3.211 1990 5 11.444 -1.865 0 0 11.444 -1.865 10.437 -1.112 1990 6 18.593 0.412 0 0 18.593 0.412 16.163 -0.258 1990 7 23.715 0.530 0 0 23.715 0.530 22.151 0.727 1990 8 22.363 0.620 0 0 22.363 0.620 19.646 -0.337 1990 9 20.485 3.608 0 0 20.485 3.608 17.832 2.715 1990 10 11.252 0.415 0 0 11.252 0.415 9.870 0.793 1990 11 3.688 -0.711 0 0 3.688 -0.711 2.219 -0.420 1990 12 -6.160 -6.268 0 0 -6.160 -6.268 -7.427 -5.774 1991 1 -1.447 -0.848 0 0 -1.447 -0.848 -2.946 -0.587 1991 2 6.418 4.056 0 0 6.418 4.056 5.236 4.634 1991 3 3.474 -0.982 0 0 3.474 -0.982 1.764 -0.931 1991 4 6.548 -1.593 0 0 6.548 -1.593 4.633 -1.748 1991 5 9.527 -3.781 0 0 9.527 -3.781 8.747 -2.801 1991 6 16.128 -2.053 0 0 16.128 -2.053 14.283 -2.138 1991 7 24.252 1.067 0 0 24.252 1.067 22.558 1.134 1991 8 23.443 1.700 0 0 23.443 1.700 20.772 0.789 1991 9 18.882 2.005 0 0 18.882 2.005 16.447 1.331 1991 10 12.358 1.521 0 0 12.358 1.521 10.673 1.596 1991 11 4.293 -0.106 0 0 4.293 -0.106 2.818 0.179 1991 12 -0.032 -0.140 0 0 -0.032 -0.140 -1.367 0.285 1992 1 -0.042 0.556 0 0 -0.042 0.556 -1.372 0.986 1992 2 5.129 2.767 0 0 5.129 2.767 4.415 3.813 1992 3 7.806 3.351 0 0 7.806 3.351 5.478 2.782 1992 4 12.047 3.905 0 0 12.047 3.905 9.790 3.408 1992 5 18.606 5.298 0 0 18.606 5.298 16.314 4.766 1992 6 19.288 1.107 0 0 19.288 1.107 16.722 0.301 1992 7 22.113 -1.071 0 0 22.113 -1.071 20.449 -0.975 1992 8 23.634 1.891 0 0 23.634 1.891 20.785 0.803 1992 9 18.337 1.460 0 0 18.337 1.460 15.808 0.692 1992 10 12.792 1.955 0 0 12.792 1.955 11.311 2.234 1992 11 2.368 -2.031 0 0 2.368 -2.031 0.607 -2.032 1992 12 -2.308 -2.416 0 0 -2.308 -2.416 -4.295 -2.642 1993 1 -4.165 -3.566 0 0 -4.165 -3.566 -5.380 -3.022 1993 2 -1.457 -3.819 0 0 -1.457 -3.819 -2.022 -2.624 1993 3 7.120 2.664 0 0 7.120 2.664 4.779 2.083 1993 4 8.382 0.240 0 0 8.382 0.240 6.046 -0.335 1993 5 15.485 2.177 0 0 15.485 2.177 14.019 2.470 1993 6 15.965 -2.216 0 0 15.965 -2.216 13.539 -2.881 1993 7 19.097 -4.087 0 0 19.097 -4.087 17.482 -3.942 1993 8 20.703 -1.039 0 0 20.703 -1.039 18.184 -1.799 1993 9 18.003 1.127 0 0 18.003 1.127 15.363 0.246 1993 10 11.598 0.761 0 0 11.598 0.761 9.943 0.866 1993 11 1.327 -3.073 0 0 1.327 -3.073 -0.195 -2.834 1993 12 0.092 -0.016 0 0 0.092 -0.016 -1.544 0.108 1994 1 1.823 2.422 0 0 1.823 2.422 0.417 2.776 1994 2 0.284 -2.078 0 0 0.284 -2.078 -0.157 -0.759 1994 3 7.476 3.020 0 0 7.476 3.020 5.335 2.639 1994 4 9.473 1.332 0 0 9.473 1.332 7.481 1.099 1994 5 14.376 1.067 0 0 14.376 1.067 13.165 1.617 1994 6 20.250 2.069 0 0 20.250 2.069 17.261 0.840 1994 7 25.250 2.066 0 0 25.250 2.066 23.277 1.853 1994 8 24.939 3.196 0 0 24.939 3.196 21.479 1.497 1994 9 19.138 2.262 0 0 19.138 2.262 16.425 1.309 1994 10 10.002 -0.835 0 0 10.002 -0.835 8.515 -0.561 1994 11 -0.963 -5.363 0 0 -0.963 -5.363 -2.060 -4.699 1994 12 -0.756 -0.865 0 0 -0.756 -0.865 -1.481 0.171 1995 1 2.648 3.247 0 0 2.648 3.247 1.236 3.595 1995 2 6.873 4.511 0 0 6.873 4.511 6.012 5.410 1995 3 4.468 0.012 0 0 4.468 0.012 2.647 -0.048 1995 4 6.522 -1.620 0 0 6.522 -1.620 5.115 -1.266 1995 5 11.077 -2.232 0 0 11.077 -2.232 9.994 -1.555 1995 6 15.202 -2.979 0 0 15.202 -2.979 13.251 -3.170 1995 7 21.553 -1.631 0 0 21.553 -1.631 20.070 -1.354 1995 8 22.184 0.441 0 0 22.184 0.441 19.641 -0.341 1995 9 18.368 1.492 0 0 18.368 1.492 16.191 1.074 1995 10 10.729 -0.108 0 0 10.729 -0.108 9.529 0.452 1995 11 8.305 3.906 0 0 8.305 3.906 6.304 3.665 1995 12 2.274 2.166 0 0 2.274 2.166 0.700 2.352 1996 1 0.802 1.400 0 0 0.802 1.400 0.142 2.501 1996 2 2.118 -0.244 0 0 2.118 -0.244 1.932 1.330 1996 3 5.782 1.326 0 0 5.782 1.326 3.620 0.924 1996 4 8.555 0.413 0 0 8.555 0.413 6.765 0.384 1996 5 12.306 -1.002 0 0 12.306 -1.002 11.269 -0.279 1996 6 19.042 0.861 0 0 19.042 0.861 16.709 0.288 1996 7 25.037 1.853 0 0 25.037 1.853 22.996 1.572 1996 8 23.374 1.632 0 0 23.374 1.632 20.539 0.556 1996 9 16.595 -0.282 0 0 16.595 -0.282 14.006 -1.110 1996 10 10.729 -0.108 0 0 10.729 -0.108 9.045 -0.032 1996 11 5.553 1.154 0 0 5.553 1.154 3.731 1.092 1996 12 1.779 1.671 0 0 1.779 1.671 -0.211 1.441 1997 1 0.365 0.963 0 0 0.365 0.963 -1.253 1.106 1997 2 1.627 -0.735 0 0 1.627 -0.735 0.849 0.247 1997 3 NaN NaN NaN NaN NaN NaN 4.617 1.921 1997 4 NaN NaN NaN NaN NaN NaN 5.235 -1.147 1997 5 NaN NaN NaN NaN NaN NaN 14.321 2.773 1997 6 NaN NaN NaN NaN NaN NaN 15.376 -1.045 1997 7 NaN NaN NaN NaN NaN NaN 20.006 -1.418 1997 8 NaN NaN NaN NaN NaN NaN 20.405 0.423 1997 9 NaN NaN NaN NaN NaN NaN 16.027 0.911 1997 10 NaN NaN NaN NaN NaN NaN 8.931 -0.146 1997 11 NaN NaN NaN NaN NaN NaN 4.002 1.363 1997 12 NaN NaN NaN NaN NaN NaN -2.850 -1.198 1998 1 NaN NaN NaN NaN NaN NaN 1.342 3.701 1998 2 NaN NaN NaN NaN NaN NaN 1.179 0.577