% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 2564 % Primary Name: FOB DWYER % Record Type: TAVG % Country: Afghanistan % State: CA % Latitude: 33.70000 +/- 0.00050 % Longitude: -117.83300 +/- 0.00050 % Elevation (m): 16.50 +/- 0.05 % # of Months: 107 % % IDs: gsod - 690160-93114 % icao - KNTK % usaf - 690160 % wban - 93114 % % Sources: Global Summary of the Day % % Site Hash: f3baf3a3b9839e4e2ad893945d531a97 % Raw Data Hash: 902da5a2ffcebb8b548db1814195f371 % Adj Data Hash: 0a3139d3324c939dda546b6bd3784df0 % % 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 12 NaN NaN NaN NaN NaN NaN 13.331 -0.566 1989 1 NaN NaN NaN NaN NaN NaN 12.727 -0.558 1989 2 NaN NaN NaN NaN NaN NaN 12.984 -0.488 1989 3 NaN NaN NaN NaN NaN NaN 14.161 0.939 1989 4 NaN NaN NaN NaN NaN NaN 16.705 2.815 1989 5 NaN NaN NaN NaN NaN NaN 15.368 0.110 1989 6 NaN NaN NaN NaN NaN NaN 16.524 -0.336 1989 7 NaN NaN NaN NaN NaN NaN 19.340 0.340 1989 8 NaN NaN NaN NaN NaN NaN 18.693 -1.069 1989 9 NaN NaN NaN NaN NaN NaN 19.862 0.014 1989 10 NaN NaN NaN NaN NaN NaN 18.194 -0.006 1989 11 NaN NaN NaN NaN NaN NaN 17.601 1.601 1989 12 13.552 -2.126 0 0 13.286 -2.392 15.032 1.135 1990 1 13.220 -1.845 0 0 12.955 -2.111 13.884 0.599 1990 2 12.472 -2.781 0 0 12.206 -3.047 12.433 -1.039 1990 3 14.900 -0.103 0 0 14.634 -0.369 13.288 0.067 1990 4 18.009 2.338 0 0 17.743 2.072 15.199 1.309 1990 5 19.022 1.982 0 0 18.756 1.716 15.652 0.394 1990 6 22.265 3.623 0 0 21.999 3.357 18.271 1.411 1990 7 24.353 3.572 0 0 24.087 3.307 20.426 1.427 1990 8 23.125 1.582 0 0 22.860 1.316 19.406 -0.357 1990 9 23.087 1.457 0 0 22.821 1.192 20.770 0.922 1990 10 20.991 1.010 0 0 20.725 0.744 20.149 1.949 1990 11 16.839 -0.942 0 0 16.573 -1.208 17.117 1.117 1990 12 12.810 -2.868 0 0 12.544 -3.134 13.143 -0.754 1991 1 16.043 0.977 0 0 15.777 0.711 14.080 0.795 1991 2 17.770 2.517 0 0 17.504 2.251 15.619 2.148 1991 3 15.857 0.854 0 0 15.591 0.588 11.778 -1.444 1991 4 18.485 2.814 0 0 18.219 2.548 14.210 0.320 1991 5 17.566 0.527 0 0 17.300 0.261 14.398 -0.860 1991 6 19.181 0.540 0 0 18.916 0.274 15.275 -1.585 1991 7 21.066 0.286 0 0 20.800 0.020 17.614 -1.386 1991 8 22.029 0.485 0 0 21.763 0.219 18.747 -1.015 1991 9 21.837 0.207 0 0 21.571 -0.058 19.918 0.070 1991 10 20.747 0.766 0 0 20.481 0.500 19.903 1.703 1991 11 16.991 -0.791 0 0 16.725 -1.056 17.201 1.201 1991 12 13.737 -1.942 0 0 13.471 -2.208 14.124 0.227 1992 1 13.794 -1.272 0 0 13.528 -1.538 14.440 1.155 1992 2 16.437 1.184 0 0 16.171 0.918 15.766 2.295 1992 3 15.853 0.850 0 0 15.587 0.584 13.801 0.580 1992 4 19.728 4.056 0 0 19.462 3.790 16.959 3.068 1992 5 20.799 3.760 0 0 20.533 3.494 17.367 2.109 1992 6 21.150 2.508 0 4 20.854 2.212 17.081 0.221 1992 7 24.038 3.257 0 0 23.742 2.961 19.775 0.776 1992 8 25.041 3.498 0 0 24.745 3.202 21.371 1.609 1992 9 23.243 1.613 0 0 22.947 1.317 21.110 1.262 1992 10 20.787 0.805 0 0 20.491 0.510 19.486 1.286 1992 11 17.241 -0.541 0 0 16.945 -0.836 17.194 1.194 1992 12 12.706 -2.972 0 0 12.410 -3.268 12.966 -0.931 1993 1 14.011 -1.055 0 0 13.715 -1.351 13.845 0.561 1993 2 14.506 -0.747 0 0 14.210 -1.043 13.804 0.332 1993 3 17.022 2.019 0 0 16.726 1.723 15.049 1.828 1993 4 18.467 2.795 0 0 18.171 2.499 15.744 1.854 1993 5 20.631 3.591 0 0 20.335 3.296 16.948 1.690 1993 6 22.087 3.445 0 0 21.791 3.150 17.940 1.079 1993 7 22.283 1.503 0 0 21.987 1.207 18.394 -0.606 1993 8 23.100 1.557 0 0 22.805 1.261 19.077 -0.685 1993 9 21.722 0.093 0 0 21.427 -0.203 19.942 0.094 1993 10 20.627 0.646 0 0 20.332 0.350 19.338 1.138 1993 11 17.120 -0.661 0 0 16.825 -0.957 16.816 0.816 1993 12 14.858 -0.820 0 0 14.563 -1.116 14.423 0.526 1994 1 14.679 -0.387 0 0 14.383 -0.682 15.165 1.881 1994 2 13.877 -1.376 0 0 13.581 -1.672 13.485 0.013 1994 3 16.853 1.850 0 0 16.557 1.554 14.516 1.295 1994 4 17.513 1.841 0 0 17.217 1.546 14.237 0.347 1994 5 18.303 1.263 0 0 18.007 0.968 14.506 -0.752 1994 6 22.144 3.503 0 0 21.849 3.207 17.968 1.108 1994 7 22.468 1.687 0 0 22.172 1.391 18.501 -0.498 1994 8 25.075 3.532 0 0 24.780 3.236 21.198 1.436 1994 9 23.056 1.426 0 0 22.760 1.130 20.780 0.932 1994 10 19.548 -0.433 0 0 19.253 -0.729 18.450 0.250 1994 11 13.759 -4.022 0 0 13.464 -4.318 13.943 -2.057 1994 12 13.158 -2.521 0 0 12.862 -2.816 13.511 -0.386 1995 1 13.344 -1.722 0 0 13.048 -2.017 13.696 0.412 1995 2 15.984 0.731 0 4 16.409 1.156 16.510 3.038 1995 3 15.690 0.687 0 0 16.115 1.112 14.210 0.988 1995 4 16.493 0.821 0 0 16.918 1.246 14.089 0.198 1995 5 16.814 -0.226 0 0 17.239 0.200 13.967 -1.291 1995 6 18.520 -0.121 0 0 18.946 0.304 15.893 -0.967 1995 7 21.473 0.692 0 0 21.898 1.118 19.048 0.049 1995 8 23.066 1.523 0 0 23.492 1.948 20.689 0.927 1995 9 22.681 1.052 0 0 23.107 1.477 21.234 1.386 1995 10 19.654 -0.327 0 0 20.079 0.098 19.361 1.161 1995 11 16.915 -0.866 0 0 17.340 -0.441 17.975 1.975 1995 12 14.172 -1.506 0 0 14.597 -1.081 14.725 0.828 1996 1 14.287 -0.779 0 0 14.712 -0.354 14.744 1.460 1996 2 14.891 -0.362 0 0 15.316 0.063 14.845 1.373 1996 3 15.427 0.424 0 0 15.852 0.849 14.087 0.865 1996 4 18.113 2.441 0 0 18.538 2.867 16.304 2.414 1996 5 19.539 2.500 0 0 19.965 2.925 17.038 1.780 1996 6 21.281 2.640 0 0 21.707 3.065 17.757 0.897 1996 7 22.728 1.947 0 0 23.153 2.372 20.032 1.033 1996 8 23.677 2.134 0 0 24.103 2.559 20.893 1.130 1996 9 22.207 0.578 0 0 22.633 1.003 20.207 0.359 1996 10 18.147 -1.834 0 0 18.572 -1.409 17.899 -0.300 1996 11 15.500 -2.281 0 0 15.925 -1.856 16.920 0.920 1996 12 13.179 -2.499 0 0 13.605 -2.074 14.659 0.762 1997 1 13.290 -1.775 0 0 13.716 -1.350 14.238 0.954 1997 2 14.101 -1.152 0 0 14.527 -0.727 13.964 0.493 1997 3 16.971 1.968 0 0 17.397 2.394 15.596 2.375 1997 4 16.606 0.934 0 0 17.031 1.359 15.029 1.138 1997 5 19.998 2.959 0 0 20.424 3.384 18.947 3.689 1997 6 19.880 1.238 0 0 20.305 1.663 17.244 0.384 1997 7 21.194 0.413 0 0 21.619 0.838 18.601 -0.398 1997 8 23.602 2.058 0 0 24.027 2.484 21.033 1.271 1997 9 24.241 2.611 0 0 24.666 3.036 22.851 3.003 1997 10 20.568 0.587 0 0 20.993 1.012 19.635 1.436 1997 11 16.993 -0.789 0 0 17.418 -0.363 17.550 1.550 1997 12 15.099 -0.580 0 0 15.524 -0.154 14.225 0.328 1998 1 14.944 -0.121 0 0 15.370 0.304 14.307 1.023 1998 2 14.554 -0.700 0 0 14.979 -0.274 13.036 -0.436 1998 3 17.045 2.042 0 0 17.470 2.467 13.611 0.389 1998 4 18.593 2.922 0 0 19.019 3.347 13.356 -0.534 1998 5 19.365 2.325 1 0 NaN NaN 14.389 -0.869 1998 6 21.354 2.712 0 0 21.779 3.137 15.975 -0.885 1998 7 25.341 4.560 0 0 25.766 4.986 19.791 0.792 1998 8 26.441 4.897 1 0 NaN NaN 21.940 2.178 1998 9 24.529 2.900 1 0 NaN NaN 20.107 0.259 1998 10 21.518 1.537 1 0 NaN NaN 18.357 0.157 1998 11 NaN NaN NaN NaN NaN NaN 15.727 -0.273 1998 12 NaN NaN NaN NaN NaN NaN 13.505 -0.392 1999 1 NaN NaN NaN NaN NaN NaN 14.524 1.240 1999 2 NaN NaN NaN NaN NaN NaN 13.497 0.025 1999 3 NaN NaN NaN NaN NaN NaN 11.939 -1.283 1999 4 NaN NaN NaN NaN NaN NaN 12.578 -1.312 1999 5 NaN NaN NaN NaN NaN NaN 14.815 -0.443 1999 6 NaN NaN NaN NaN NaN NaN 15.970 -0.891 1999 7 NaN NaN NaN NaN NaN NaN 18.988 -0.011 1999 8 NaN NaN NaN NaN NaN NaN 19.076 -0.686 1999 9 NaN NaN NaN NaN NaN NaN 19.363 -0.485 1999 10 NaN NaN NaN NaN NaN NaN 20.666 2.466