% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 171460 % Primary Name: TOQUOP WASH NEVADA % Record Type: TAVG % Country: United States % State: NV % Latitude: 36.91330 +/- 0.00005 % Longitude: -114.19500 +/- 0.00005 % Elevation (m): 745.50 +/- 0.50 % # of Months: 92 % % IDs: ghcnd - USR0000NTOQ % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 83613b6b780e2fcb361f803ea185c510 % Raw Data Hash: dfb1a969c447e44e9c4b90aa56b0bcec % Adj Data Hash: 91ed96b6bc953c98693fa35b71fbdcce % % 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 1989 6 NaN NaN NaN NaN NaN NaN 18.820 -0.309 1989 7 NaN NaN NaN NaN NaN NaN 24.863 1.642 1989 8 NaN NaN NaN NaN NaN NaN 20.978 -1.064 1989 9 NaN NaN NaN NaN NaN NaN 17.789 0.127 1989 10 NaN NaN NaN NaN NaN NaN 11.547 0.148 1989 11 NaN NaN NaN NaN NaN NaN 5.810 1.410 1989 12 NaN NaN NaN NaN NaN NaN 1.077 1.054 1990 1 NaN NaN NaN NaN NaN NaN 0.149 0.878 1990 2 NaN NaN NaN NaN NaN NaN 0.402 -1.534 1990 3 NaN NaN NaN NaN NaN NaN 6.259 1.792 1990 4 NaN NaN NaN NaN NaN NaN 10.564 2.054 1990 5 NaN NaN NaN NaN NaN NaN 13.406 -0.378 1990 6 29.966 2.481 1 0 NaN NaN 19.963 0.834 1990 7 31.097 -0.480 0 0 31.097 -0.480 23.894 0.674 1990 8 29.306 -1.091 0 0 29.306 -1.091 21.482 -0.560 1990 9 27.358 1.341 0 0 27.358 1.341 19.139 1.476 1990 10 20.318 0.563 0 0 20.318 0.563 12.477 1.079 1990 11 12.708 -0.047 0 0 12.708 -0.047 4.647 0.247 1990 12 4.581 -3.798 0 0 4.581 -3.798 -4.287 -4.310 1991 1 7.352 -0.276 0 0 7.352 -0.276 -1.145 -0.416 1991 2 13.882 3.590 0 0 13.882 3.590 5.304 3.367 1991 3 10.356 -2.467 0 0 10.356 -2.467 2.313 -2.154 1991 4 16.338 -0.527 0 0 16.338 -0.527 7.051 -1.459 1991 5 20.226 -1.914 0 0 20.226 -1.914 11.457 -2.327 1991 6 26.315 -1.169 0 0 26.315 -1.169 17.457 -1.672 1991 7 31.855 0.279 0 0 31.855 0.279 23.580 0.359 1991 8 30.600 0.202 0 0 30.600 0.202 22.109 0.067 1991 9 27.415 1.397 0 0 27.415 1.397 18.317 0.655 1991 10 21.835 2.081 0 0 21.835 2.081 13.142 1.743 1991 11 12.218 -0.537 0 0 12.218 -0.537 4.080 -0.320 1991 12 8.653 0.274 0 0 8.653 0.274 0.116 0.093 1992 1 8.031 0.403 0 0 8.031 0.403 -0.617 0.111 1992 2 12.228 1.935 0 0 12.228 1.935 4.408 2.472 1992 3 13.021 0.198 0 0 13.021 0.198 5.524 1.057 1992 4 19.430 2.565 0 0 19.430 2.565 12.081 3.571 1992 5 23.842 1.702 0 0 23.842 1.702 15.606 1.822 1992 6 27.443 -0.041 0 0 27.443 -0.041 18.470 -0.659 1992 7 30.231 -1.346 0 0 30.231 -1.346 21.974 -1.246 1992 8 31.484 1.086 0 0 31.484 1.086 22.393 0.351 1992 9 27.877 1.859 0 0 27.877 1.859 18.658 0.996 1992 10 21.369 1.615 0 0 21.369 1.615 13.656 2.257 1992 11 10.837 -1.919 0 0 10.837 -1.919 2.204 -2.196 1992 12 5.608 -2.771 0 0 5.608 -2.771 -2.444 -2.467 1993 1 7.042 -0.585 0 0 7.042 -0.585 -0.735 -0.007 1993 2 8.975 -1.317 0 0 8.975 -1.317 0.762 -1.174 1993 3 13.967 1.144 1 0 NaN NaN 6.298 1.831 1993 4 18.100 1.235 0 0 18.100 1.235 9.177 0.668 1993 5 NaN NaN NaN NaN NaN NaN 14.747 0.963 1993 6 27.352 -0.133 0 0 27.352 -0.133 17.175 -1.954 1993 7 30.844 -0.733 0 0 30.844 -0.733 21.922 -1.299 1993 8 29.913 -0.485 0 0 29.913 -0.485 21.366 -0.676 1993 9 26.332 0.314 0 0 26.332 0.314 17.779 0.117 1993 10 19.947 0.192 0 0 19.947 0.192 11.574 0.175 1993 11 10.312 -2.444 0 0 10.312 -2.444 2.642 -1.757 1993 12 8.143 -0.236 0 0 8.143 -0.236 -0.078 -0.101 1994 1 9.463 1.836 0 0 9.463 1.836 1.815 2.543 1994 2 7.955 -2.337 0 0 7.955 -2.337 0.894 -1.042 1994 3 15.681 2.858 0 0 15.681 2.858 7.142 2.674 1994 4 18.005 1.140 0 0 18.005 1.140 9.343 0.833 1994 5 22.706 0.567 0 0 22.706 0.567 14.444 0.659 1994 6 30.832 3.347 0 0 30.832 3.347 21.723 2.594 1994 7 32.748 1.172 0 0 32.748 1.172 24.599 1.378 1994 8 32.161 1.764 0 0 32.161 1.764 23.565 1.523 1994 9 27.433 1.416 0 0 27.433 1.416 18.919 1.257 1994 10 18.639 -1.116 0 0 18.639 -1.116 10.637 -0.762 1994 11 8.465 -4.290 0 0 8.465 -4.290 0.181 -4.218 1994 12 8.556 0.177 0 0 8.556 0.177 0.539 0.516 1995 1 8.017 0.390 0 0 8.017 0.390 0.445 1.173 1995 2 14.255 3.963 0 0 14.255 3.963 6.955 5.019 1995 3 12.755 -0.068 0 0 12.755 -0.068 4.698 0.231 1995 4 15.458 -1.407 0 0 15.458 -1.407 7.377 -1.132 1995 5 19.613 -2.526 0 0 19.613 -2.526 11.109 -2.676 1995 6 25.398 -2.086 0 0 25.398 -2.086 15.946 -3.183 1995 7 31.308 -0.268 0 0 31.308 -0.268 22.530 -0.691 1995 8 32.160 1.762 0 0 32.160 1.762 23.010 0.968 1995 9 28.098 2.081 0 0 28.098 2.081 19.187 1.525 1995 10 20.587 0.833 0 0 20.587 0.833 12.568 1.169 1995 11 15.972 3.216 0 0 15.972 3.216 7.966 3.566 1995 12 10.005 1.626 0 0 10.005 1.626 1.812 1.788 1996 1 8.398 0.771 0 0 8.398 0.771 1.073 1.802 1996 2 12.179 1.886 0 0 12.179 1.886 4.608 2.672 1996 3 14.311 1.488 0 0 14.311 1.488 5.768 1.301 1996 4 19.085 2.220 0 0 19.085 2.220 9.708 1.198 1996 5 24.102 1.962 0 0 24.102 1.962 15.348 1.563 1996 6 29.543 2.059 0 0 29.543 2.059 20.913 1.784 1996 7 33.153 1.577 0 0 33.153 1.577 24.903 1.683 1996 8 32.550 2.152 0 0 32.550 2.152 23.498 1.456 1996 9 25.898 -0.119 0 0 25.898 -0.119 17.268 -0.394 1996 10 18.774 -0.980 0 0 18.774 -0.980 10.864 -0.535 1996 11 13.122 0.366 0 0 13.122 0.366 5.119 0.719 1996 12 8.384 0.005 0 0 8.384 0.005 1.101 1.078 1997 1 7.666 0.039 0 0 7.666 0.039 -0.101 0.627 1997 2 10.213 -0.080 0 0 10.213 -0.080 1.964 0.028 1997 3 16.244 3.421 0 0 16.244 3.421 7.372 2.904 1997 4 16.867 0.002 0 0 16.867 0.002 7.646 -0.863 1997 5 26.290 4.151 0 0 26.290 4.151 16.416 2.632 1997 6 27.922 0.437 0 0 27.922 0.437 18.900 -0.229 1997 7 30.456 -1.120 0 0 30.456 -1.120 22.385 -0.835 1997 8 31.402 1.004 0 0 31.402 1.004 22.642 0.599 1997 9 27.268 1.250 0 0 27.268 1.250 18.417 0.754 1997 10 18.992 -0.763 0 0 18.992 -0.763 11.435 0.036 1997 11 13.277 0.521 0 0 13.277 0.521 5.613 1.213 1997 12 7.821 -0.558 0 0 7.821 -0.558 -0.604 -0.628 1998 1 8.881 1.253 0 0 8.881 1.253 1.902 2.631 1998 2 9.060 -1.232 1 0 NaN NaN 1.255 -0.682 1998 3 NaN NaN NaN NaN NaN NaN 4.398 -0.069 1998 4 NaN NaN NaN NaN NaN NaN 6.611 -1.898 1998 5 NaN NaN NaN NaN NaN NaN 11.591 -2.193 1998 6 NaN NaN NaN NaN NaN NaN 15.998 -3.131 1998 7 NaN NaN NaN NaN NaN NaN 23.664 0.443 1998 8 NaN NaN NaN NaN NaN NaN 23.122 1.080 1998 9 NaN NaN NaN NaN NaN NaN 17.646 -0.016 1998 10 NaN NaN NaN NaN NaN NaN 10.313 -1.086 1998 11 NaN NaN NaN NaN NaN NaN 4.811 0.411 1998 12 NaN NaN NaN NaN NaN NaN 0.082 0.059 1999 1 NaN NaN NaN NaN NaN NaN 2.206 2.934 1999 2 NaN NaN NaN NaN NaN NaN 3.543 1.607