% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33774 % Primary Name: ALPENA 1 NW % Record Type: TAVG % Country: United States % State: WV % Latitude: 38.91670 +/- 0.00005 % Longitude: -79.66670 +/- 0.00005 % Elevation (m): 921.10 +/- 0.05 % # of Months: 148 % % Alternate Names: ALPENA % % IDs: coop - 460143 % ghcnd - USC00460143 % ncdc - 20021523 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 733c105c52013dd7d5fa47f68b67bb87 % Raw Data Hash: 2ce2302e68b28618ef85e793fe439555 % Adj Data Hash: 84a001e94cab28109400d2304700ecf9 % % 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 1928 10 NaN NaN NaN NaN NaN NaN 12.022 1.035 1928 11 NaN NaN NaN NaN NaN NaN 6.173 0.793 1928 12 NaN NaN NaN NaN NaN NaN 0.437 0.471 1929 1 NaN NaN NaN NaN NaN NaN -2.452 -0.344 1929 2 NaN NaN NaN NaN NaN NaN -2.858 -1.927 1929 3 NaN NaN NaN NaN NaN NaN 6.914 2.893 1929 4 NaN NaN NaN NaN NaN NaN 11.501 1.535 1929 5 NaN NaN NaN NaN NaN NaN 14.194 -1.057 1929 6 NaN NaN NaN NaN NaN NaN 18.703 -0.826 1929 7 NaN NaN NaN NaN NaN NaN 20.985 -0.698 1929 8 NaN NaN NaN NaN NaN NaN 19.245 -1.829 1929 9 NaN NaN NaN NaN NaN NaN 18.185 0.673 1929 10 8.554 -0.955 1 0 NaN NaN 9.704 -1.283 1929 11 3.695 -0.206 0 0 3.742 -0.158 5.415 0.035 1929 12 1.305 2.818 0 0 1.330 2.843 1.038 1.072 1930 1 -0.037 3.550 0 0 -0.055 3.532 -0.860 1.248 1930 2 1.925 4.334 0 0 1.867 4.276 2.132 3.062 1930 3 1.624 -0.918 0 0 1.574 -0.968 3.468 -0.553 1930 4 7.110 -1.377 0 0 7.125 -1.362 9.847 -0.119 1930 5 13.635 -0.136 0 0 13.771 -0.000 15.893 0.642 1930 6 16.653 -1.396 0 0 16.947 -1.103 19.371 -0.158 1930 7 19.177 -1.027 0 0 19.583 -0.621 22.286 0.603 1930 8 17.394 -2.202 0 0 17.773 -1.823 20.447 -0.627 1930 9 17.407 1.374 0 0 17.642 1.609 20.146 2.634 1930 10 7.343 -2.165 1 0 NaN NaN 9.207 -1.780 1930 11 2.618 -1.282 0 0 2.666 -1.235 5.043 -0.337 1930 12 -2.911 -1.399 0 0 -2.886 -1.373 -2.209 -2.175 1931 1 -2.111 1.476 0 0 -2.129 1.458 -0.680 1.428 1931 2 -0.056 2.354 0 0 -0.114 2.296 0.259 1.189 1931 3 -0.444 -2.986 0 0 -0.494 -3.036 1.641 -2.380 1931 4 6.889 -1.598 0 0 6.904 -1.583 9.177 -0.789 1931 5 12.556 -1.216 0 0 12.692 -1.080 14.739 -0.512 1931 6 17.111 -0.939 0 0 17.405 -0.645 19.612 0.083 1931 7 20.833 0.629 0 0 21.239 1.035 23.374 1.690 1931 8 18.000 -1.595 0 0 18.379 -1.216 20.782 -0.293 1931 9 17.056 1.023 0 0 17.291 1.258 20.124 2.612 1931 10 10.889 1.381 0 0 10.990 1.481 12.423 1.436 1931 11 8.333 4.433 0 0 8.381 4.480 10.029 4.650 1931 12 3.556 5.068 0 0 3.581 5.094 3.955 3.988 1932 1 4.000 7.587 0 0 3.982 7.569 4.489 6.597 1932 2 2.778 5.187 0 0 2.720 5.129 2.890 3.821 1932 3 -0.500 -3.042 0 0 -0.550 -3.092 1.143 -2.878 1932 4 7.778 -0.709 0 0 7.793 -0.694 9.008 -0.958 1932 5 13.111 -0.661 0 0 13.247 -0.525 15.019 -0.232 1932 6 17.167 -0.883 0 0 17.460 -0.589 19.598 0.069 1932 7 18.889 -1.315 0 0 19.295 -0.909 21.535 -0.148 1932 8 18.111 -1.484 0 0 18.490 -1.105 21.129 0.055 1932 9 14.556 -1.477 0 0 14.791 -1.242 18.048 0.536 1932 10 9.889 0.381 0 0 9.990 0.481 11.095 0.108 1932 11 2.944 -0.956 0 0 2.992 -0.909 4.240 -1.139 1932 12 1.722 3.235 0 0 1.748 3.260 1.002 1.036 1933 1 2.000 5.587 0 0 1.982 5.569 2.621 4.729 1933 2 -0.778 1.632 0 0 -0.836 1.574 -0.512 0.419 1933 3 1.333 -1.209 0 0 1.284 -1.258 2.594 -1.427 1933 4 8.444 -0.043 0 0 8.460 -0.027 10.518 0.552 1933 5 15.222 1.450 0 0 15.358 1.586 16.523 1.272 1933 6 17.556 -0.494 0 0 17.849 -0.201 20.359 0.830 1933 7 18.444 -1.760 0 0 18.851 -1.354 21.246 -0.437 1933 8 17.944 -1.651 0 0 18.324 -1.272 20.786 -0.289 1933 9 17.667 1.634 0 0 17.902 1.869 19.667 2.156 1933 10 9.444 -0.064 0 0 9.545 0.037 10.427 -0.561 1933 11 2.167 -1.734 0 0 2.214 -1.687 4.216 -1.163 1933 12 2.000 3.513 0 0 2.025 3.538 1.319 1.353 1934 1 0.056 3.642 0 0 0.038 3.624 0.453 2.561 1934 2 -6.778 -4.368 0 0 -6.836 -4.426 -7.099 -6.169 1934 3 1.667 -0.875 0 0 1.617 -0.925 2.223 -1.798 1934 4 8.889 0.402 0 0 8.904 0.417 9.973 0.007 1934 5 13.333 -0.439 0 0 13.469 -0.303 15.732 0.481 1934 6 19.000 0.950 0 0 19.294 1.244 21.778 2.250 1934 7 21.167 0.962 0 0 21.573 1.369 23.803 2.119 1934 8 18.278 -1.318 0 0 18.657 -0.938 20.388 -0.687 1934 9 15.944 -0.088 0 0 16.179 0.147 18.654 1.143 1934 10 9.222 -0.286 0 0 9.323 -0.185 10.729 -0.259 1934 11 5.444 1.544 0 0 5.492 1.591 7.244 1.864 1934 12 -1.778 -0.265 0 0 -1.752 -0.240 -0.889 -0.855 1935 1 -1.000 2.587 0 0 -1.018 2.569 -2.019 0.089 1935 2 -1.111 1.298 0 0 -1.169 1.240 -1.297 -0.366 1935 3 6.500 3.958 0 0 6.450 3.908 7.407 3.386 1935 4 6.056 -2.431 0 0 6.071 -2.416 8.144 -1.822 1935 5 11.833 -1.939 0 0 11.969 -1.803 13.204 -2.047 1935 6 16.167 -1.883 0 0 16.460 -1.589 18.834 -0.695 1935 7 20.333 0.129 0 0 20.739 0.535 22.808 1.125 1935 8 18.778 -0.818 0 0 19.157 -0.438 21.302 0.228 1935 9 15.556 -0.477 0 0 15.791 -0.242 16.817 -0.694 1935 10 9.833 0.325 0 0 9.934 0.426 11.062 0.074 1935 11 5.222 1.322 0 0 5.269 1.369 7.088 1.708 1935 12 -5.444 -3.932 0 4 -5.469 -3.956 -4.046 -4.013 1936 1 -4.722 -1.135 0 0 -4.705 -1.118 -5.098 -2.990 1936 2 -3.444 -1.035 0 0 -3.388 -0.979 -4.987 -4.057 1936 3 4.556 2.014 0 0 4.604 2.062 6.009 1.988 1936 4 6.556 -1.931 0 0 6.541 -1.947 7.963 -2.003 1936 5 15.111 1.339 0 0 14.979 1.207 16.248 0.997 1936 6 19.611 1.561 0 0 19.325 1.276 19.484 -0.044 1936 7 20.222 0.018 0 0 19.827 -0.377 22.210 0.527 1936 8 20.222 0.627 0 0 19.853 0.258 22.441 1.367 1936 9 17.111 1.078 0 0 16.882 0.850 19.277 1.765 1936 10 10.667 1.158 0 0 10.569 1.060 11.821 0.833 1936 11 2.444 -1.456 0 0 2.398 -1.502 4.257 -1.122 1936 12 1.167 2.679 0 0 1.142 2.655 0.441 0.474 1937 1 4.278 7.865 0 0 4.295 7.882 3.246 5.354 1937 2 -1.778 0.632 0 0 -1.721 0.688 -1.122 -0.191 1937 3 0.333 -2.209 0 0 0.382 -2.160 2.168 -1.853 1937 4 7.667 -0.820 0 0 7.652 -0.835 8.864 -1.102 1937 5 NaN NaN NaN NaN NaN NaN 14.794 -0.457 1937 6 NaN NaN NaN NaN NaN NaN 20.147 0.618 1937 7 NaN NaN NaN NaN NaN NaN 21.255 -0.428 1937 8 NaN NaN NaN NaN NaN NaN 22.261 1.187 1937 9 NaN NaN NaN NaN NaN NaN 16.039 -1.472 1937 10 NaN NaN NaN NaN NaN NaN 9.364 -1.624 1937 11 NaN NaN NaN NaN NaN NaN 4.563 -0.816 1937 12 NaN NaN NaN NaN NaN NaN -1.175 -1.142 1938 1 NaN NaN NaN NaN NaN NaN -1.412 0.696 1938 2 NaN NaN NaN NaN NaN NaN 2.235 3.165 1938 3 NaN NaN NaN NaN NaN NaN 7.129 3.108 1938 4 9.722 1.235 0 0 9.707 1.220 10.997 1.031 1938 5 12.889 -0.883 0 0 12.757 -1.015 14.484 -0.767 1938 6 16.333 -1.716 0 0 16.048 -2.002 18.310 -1.219 1938 7 19.667 -0.538 0 0 19.272 -0.933 21.941 0.258 1938 8 19.889 0.294 0 0 19.520 -0.075 22.012 0.938 1938 9 15.778 -0.255 0 0 15.549 -0.484 16.965 -0.547 1938 10 9.889 0.381 0 0 9.791 0.283 11.340 0.353 1938 11 5.333 1.433 0 0 5.287 1.387 6.447 1.067 1938 12 -0.944 0.568 0 0 -0.969 0.544 -0.403 -0.369 1939 1 0.222 3.809 0 0 0.240 3.827 -0.088 2.020 1939 2 1.944 4.354 0 0 2.001 4.410 1.469 2.399 1939 3 5.056 2.514 0 0 5.104 2.562 5.460 1.439 1939 4 7.222 -1.265 0 0 7.207 -1.280 8.541 -1.425 1939 5 14.222 0.450 0 0 14.090 0.318 16.087 0.836 1939 6 19.444 1.395 0 0 19.159 1.109 20.587 1.058 1939 7 18.667 -1.538 0 0 18.272 -1.933 20.564 -1.119 1939 8 19.000 -0.595 0 0 18.631 -0.964 21.556 0.482 1939 9 17.111 1.078 0 0 16.882 0.850 18.925 1.414 1939 10 10.389 0.881 0 0 10.291 0.783 11.551 0.564 1939 11 3.222 -0.678 0 0 3.176 -0.724 4.668 -0.711 1939 12 0.111 1.624 0 0 0.086 1.599 1.109 1.143 1940 1 -8.889 -5.302 0 0 -8.871 -5.285 -8.364 -6.256 1940 2 -2.333 0.076 0 0 -2.277 0.132 -1.271 -0.341 1940 3 0.444 -2.098 0 0 0.493 -2.049 1.638 -2.383 1940 4 6.444 -2.043 0 0 6.429 -2.058 7.987 -1.979 1940 5 11.778 -1.994 0 0 11.645 -2.127 14.452 -0.799 1940 6 18.278 0.228 0 0 17.992 -0.058 19.804 0.275 1940 7 18.889 -1.315 0 0 18.494 -1.710 21.142 -0.541 1940 8 18.667 -0.929 0 0 18.298 -1.297 19.986 -1.088 1940 9 13.222 -2.810 0 0 12.994 -3.039 15.715 -1.796 1940 10 9.111 -0.397 0 0 9.013 -0.495 10.383 -0.604 1940 11 3.444 -0.456 0 0 3.398 -0.502 5.610 0.231 1940 12 3.222 4.735 0 0 3.197 4.710 2.971 3.005 1941 1 -2.167 1.420 0 0 -2.149 1.438 -2.178 -0.071 1941 2 -4.778 -2.368 0 0 -4.721 -2.312 -3.517 -2.587 1941 3 -1.667 -4.209 0 0 -1.618 -4.160 0.272 -3.749 1941 4 8.778 0.291 0 0 8.763 0.276 12.475 2.509 1941 5 10.944 -2.828 0 0 10.812 -2.960 15.362 0.111 1941 6 15.833 -2.216 0 0 15.548 -2.502 19.411 -0.118 1941 7 20.222 0.018 0 0 19.827 -0.377 22.002 0.318 1941 8 18.444 -1.151 0 0 18.076 -1.520 20.191 -0.883 1941 9 16.889 0.856 0 0 16.660 0.628 18.770 1.258 1941 10 12.667 3.158 0 0 12.569 3.060 13.859 2.872 1941 11 5.111 1.210 0 0 5.065 1.164 6.782 1.402 1941 12 2.333 3.846 0 0 2.309 3.821 2.237 2.270 1942 1 -2.556 1.031 0 0 -2.538 1.049 -2.209 -0.101 1942 2 -4.667 -2.257 0 0 -4.610 -2.201 -3.340 -2.410 1942 3 3.722 1.180 0 0 3.771 1.229 5.238 1.217 1942 4 9.778 1.291 0 0 9.763 1.276 11.710 1.744 1942 5 14.556 0.784 0 0 14.423 0.651 16.502 1.251 1942 6 18.722 0.672 0 0 18.436 0.387 20.247 0.718 1942 7 19.889 -0.315 0 0 19.494 -0.710 22.006 0.322 1942 8 18.889 -0.706 0 0 18.520 -1.075 20.385 -0.689 1942 9 15.556 -0.477 0 0 15.327 -0.706 17.457 -0.055 1942 10 10.722 1.214 0 0 10.624 1.116 11.972 0.985 1942 11 4.889 0.988 0 0 4.843 0.942 6.390 1.010 1942 12 -2.667 -1.154 0 0 -2.691 -1.179 -2.288 -2.254 1943 1 NaN NaN NaN NaN NaN NaN -0.574 1.534 1943 2 NaN NaN NaN NaN NaN NaN -0.713 0.217 1943 3 NaN NaN NaN NaN NaN NaN 3.539 -0.482 1943 4 NaN NaN NaN NaN NaN NaN 7.358 -2.608 1943 5 NaN NaN NaN NaN NaN NaN 16.226 0.975 1943 6 NaN NaN NaN NaN NaN NaN 22.704 3.175 1943 7 NaN NaN NaN NaN NaN NaN 21.632 -0.051 1943 8 NaN NaN NaN NaN NaN NaN 21.307 0.232 1943 9 NaN NaN NaN NaN NaN NaN 16.105 -1.407 1943 10 NaN NaN NaN NaN NaN NaN 9.963 -1.024 1943 11 NaN NaN NaN NaN NaN NaN 4.606 -0.774 1943 12 NaN NaN NaN NaN NaN NaN -1.366 -1.332