% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 7798 % Primary Name: SIBLEY'S COVE % Record Type: TAVG % Country: Canada % Latitude: 48.05000 +/- 0.00500 % Longitude: -53.10000 +/- 0.00500 % Elevation (m): 12.00 +/- 0.50 % # of Months: 93 % % IDs: ghcnd - CA008403667 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: e043ca523aabd5ee9655a3f573546a57 % Raw Data Hash: 461e0f9b2a146f855aaab327b636f820 % Adj Data Hash: 05305c0a1c7514544a0b9d02a2cca03e % % 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 11 NaN NaN NaN NaN NaN NaN 4.340 0.998 1988 12 NaN NaN NaN NaN NaN NaN -2.812 -1.052 1989 1 NaN NaN NaN NaN NaN NaN -4.731 -0.970 1989 2 NaN NaN NaN NaN NaN NaN -5.402 -1.618 1989 3 NaN NaN NaN NaN NaN NaN -3.688 -2.400 1989 4 NaN NaN NaN NaN NaN NaN 2.739 0.565 1989 5 NaN NaN NaN NaN NaN NaN 8.005 1.596 1989 6 NaN NaN NaN NaN NaN NaN 12.140 0.813 1989 7 NaN NaN NaN NaN NaN NaN 15.798 0.152 1989 8 NaN NaN NaN NaN NaN NaN 17.117 1.204 1989 9 NaN NaN NaN NaN NaN NaN 13.266 0.939 1989 10 NaN NaN NaN NaN NaN NaN 6.650 -0.692 1989 11 4.483 1.084 0 0 4.483 1.084 4.191 0.849 1989 12 -3.435 -1.732 0 0 -3.435 -1.732 -4.513 -2.753 1990 1 -3.726 -0.022 0 0 -3.726 -0.022 -3.538 0.223 1990 2 -8.598 -4.871 0 0 -8.598 -4.871 -7.656 -3.872 1990 3 -4.113 -2.882 0 0 -4.113 -2.882 -3.932 -2.644 1990 4 3.683 1.451 0 0 3.683 1.451 2.964 0.789 1990 5 4.508 -1.958 0 0 4.508 -1.958 5.036 -1.372 1990 6 11.792 0.407 0 0 11.792 0.407 11.603 0.276 1990 7 14.202 -1.502 0 0 14.202 -1.502 14.668 -0.978 1990 8 17.694 1.723 0 0 17.694 1.723 17.289 1.376 1990 9 13.675 1.290 0 0 13.675 1.290 13.023 0.696 1990 10 9.105 1.706 0 0 9.105 1.706 8.945 1.603 1990 11 3.583 0.184 0 0 3.583 0.184 3.666 0.324 1990 12 -0.145 1.558 0 0 -0.145 1.558 -0.802 0.959 1991 1 -7.565 -3.861 0 0 -7.565 -3.861 -7.094 -3.333 1991 2 -5.277 -1.550 0 0 -5.277 -1.550 -4.385 -0.600 1991 3 -0.992 0.239 0 0 -0.992 0.239 -0.471 0.817 1991 4 0.467 -1.765 0 0 0.467 -1.765 1.255 -0.919 1991 5 4.726 -1.740 0 0 4.726 -1.740 4.978 -1.430 1991 6 8.908 -2.477 0 0 8.908 -2.477 9.312 -2.015 1991 7 13.710 -1.994 0 0 13.710 -1.994 13.912 -1.734 1991 8 13.774 -2.196 0 0 13.774 -2.196 14.260 -1.653 1991 9 11.667 -0.718 0 0 11.667 -0.718 11.804 -0.523 1991 10 7.879 0.480 0 0 7.879 0.480 7.683 0.342 1991 11 4.417 1.017 0 0 4.417 1.017 4.715 1.374 1991 12 -2.718 -1.015 0 0 -2.718 -1.015 -3.571 -1.811 1992 1 -5.685 -1.982 0 0 -5.685 -1.982 -5.363 -1.602 1992 2 NaN NaN NaN NaN NaN NaN -4.842 -1.058 1992 3 -2.871 -1.640 0 0 -2.871 -1.640 -2.387 -1.099 1992 4 0.283 -1.949 0 0 0.283 -1.949 0.051 -2.124 1992 5 7.000 0.534 0 0 7.000 0.534 6.386 -0.023 1992 6 10.958 -0.427 0 0 10.958 -0.427 10.887 -0.440 1992 7 13.306 -2.397 0 0 13.306 -2.397 13.146 -2.500 1992 8 15.839 -0.132 0 0 15.839 -0.132 15.028 -0.885 1992 9 13.392 1.007 0 0 13.392 1.007 12.771 0.444 1992 10 7.645 0.246 0 0 7.645 0.246 6.868 -0.474 1992 11 0.125 -3.274 0 0 0.125 -3.274 0.479 -2.863 1992 12 -2.347 -0.644 0 0 -2.347 -0.644 -2.784 -1.023 1993 1 -7.105 -3.402 0 0 -7.105 -3.402 -6.558 -2.798 1993 2 -6.500 -2.773 0 0 -6.500 -2.773 -5.123 -1.339 1993 3 -2.887 -1.657 0 0 -2.887 -1.657 -2.163 -0.875 1993 4 2.083 -0.149 0 0 2.083 -0.149 2.403 0.228 1993 5 5.355 -1.111 0 0 5.355 -1.111 6.168 -0.241 1993 6 NaN NaN NaN NaN NaN NaN 9.577 -1.751 1993 7 12.855 -2.849 0 0 12.855 -2.849 13.243 -2.403 1993 8 15.621 -0.350 0 0 15.621 -0.350 14.798 -1.115 1993 9 NaN NaN NaN NaN NaN NaN 12.111 -0.217 1993 10 6.984 -0.415 0 0 6.984 -0.415 6.304 -1.038 1993 11 2.850 -0.549 0 0 2.850 -0.549 2.693 -0.649 1993 12 0.911 2.614 0 0 0.911 2.614 -0.191 1.569 1994 1 -4.968 -1.264 0 0 -4.968 -1.264 -4.581 -0.820 1994 2 -9.268 -5.541 0 0 -9.268 -5.541 -8.374 -4.590 1994 3 -2.105 -0.874 0 0 -2.105 -0.874 -1.652 -0.364 1994 4 2.992 0.760 0 0 2.992 0.760 2.455 0.281 1994 5 5.944 -0.523 0 0 5.944 -0.523 6.090 -0.318 1994 6 11.617 0.232 0 0 11.617 0.232 11.429 0.101 1994 7 16.911 1.208 0 0 16.911 1.208 16.731 1.085 1994 8 18.105 2.134 0 0 18.105 2.134 17.405 1.492 1994 9 12.283 -0.101 0 0 12.283 -0.101 11.952 -0.375 1994 10 8.839 1.440 0 0 8.839 1.440 8.112 0.770 1994 11 3.650 0.251 0 0 3.650 0.251 3.566 0.224 1994 12 -1.927 -0.224 0 0 -1.927 -0.224 -2.943 -1.182 1995 1 -3.032 0.671 0 0 -3.032 0.671 -2.880 0.880 1995 2 -5.509 -1.782 0 0 -5.509 -1.782 -5.231 -1.446 1995 3 -1.734 -0.503 0 0 -1.734 -0.503 -1.746 -0.458 1995 4 1.750 -0.482 0 0 1.750 -0.482 2.024 -0.151 1995 5 3.887 -2.579 0 0 3.887 -2.579 5.432 -0.977 1995 6 11.133 -0.252 0 0 11.133 -0.252 10.842 -0.485 1995 7 16.024 0.321 0 0 16.024 0.321 15.497 -0.149 1995 8 15.202 -0.769 0 0 15.202 -0.769 14.752 -1.161 1995 9 12.492 0.107 0 0 12.492 0.107 12.159 -0.168 1995 10 8.581 1.182 0 0 8.581 1.182 8.144 0.802 1995 11 3.717 0.317 0 0 3.717 0.317 4.033 0.691 1995 12 -1.782 -0.079 0 0 -1.782 -0.079 -2.780 -1.020 1996 1 -3.911 -0.208 0 0 -3.911 -0.208 -3.959 -0.198 1996 2 NaN NaN NaN NaN NaN NaN -0.498 3.286 1996 3 -1.427 -0.197 0 0 -1.427 -0.197 -0.915 0.373 1996 4 2.400 0.168 0 0 2.400 0.168 3.063 0.889 1996 5 6.274 -0.192 0 0 6.274 -0.192 6.287 -0.122 1996 6 10.450 -0.935 0 0 10.450 -0.935 10.377 -0.951 1996 7 16.427 0.724 0 0 16.427 0.724 16.000 0.354 1996 8 NaN NaN NaN NaN NaN NaN 16.909 0.995 1996 9 11.133 -1.251 0 0 11.133 -1.251 11.073 -1.254 1996 10 7.129 -0.270 0 0 7.129 -0.270 6.524 -0.817 1996 11 3.617 0.217 0 0 3.617 0.217 3.801 0.459 1996 12 1.548 3.251 0 0 1.548 3.251 0.875 2.635 1997 1 -3.653 0.050 0 0 -3.653 0.050 -3.234 0.527 1997 2 -5.679 -1.952 0 0 -5.679 -1.952 -4.938 -1.153 1997 3 -4.306 -3.076 0 0 -4.306 -3.076 -4.292 -3.004 1997 4 NaN NaN NaN NaN NaN NaN 1.128 -1.046 1997 5 6.121 -0.345 0 0 6.121 -0.345 6.060 -0.349 1997 6 10.308 -1.077 0 0 10.308 -1.077 10.241 -1.087 1997 7 NaN NaN NaN NaN NaN NaN 15.406 -0.240 1997 8 16.065 0.094 0 0 16.065 0.094 15.568 -0.345 1997 9 13.092 0.707 0 0 13.092 0.707 12.601 0.274 1997 10 7.234 -0.165 0 0 7.234 -0.165 6.726 -0.616 1997 11 3.675 0.276 0 0 3.675 0.276 3.127 -0.214 1997 12 -0.540 1.163 0 0 -0.540 1.163 -1.731 0.029 1998 1 NaN NaN NaN NaN NaN NaN -3.253 0.508 1998 2 -1.438 2.290 0 0 -1.438 2.290 -2.136 1.648 1998 3 NaN NaN NaN NaN NaN NaN 0.305 1.593 1998 4 NaN NaN NaN NaN NaN NaN 3.364 1.190 1998 5 NaN NaN NaN NaN NaN NaN 8.193 1.784 1998 6 NaN NaN NaN NaN NaN NaN 11.574 0.246 1998 7 15.420 -0.283 1 0 NaN NaN 16.528 0.882 1998 8 NaN NaN NaN NaN NaN NaN 17.434 1.521 1998 9 NaN NaN NaN NaN NaN NaN 12.181 -0.146 1998 10 NaN NaN NaN NaN NaN NaN 6.831 -0.511 1998 11 NaN NaN NaN NaN NaN NaN 3.594 0.252 1998 12 NaN NaN NaN NaN NaN NaN -1.940 -0.179 1999 1 NaN NaN NaN NaN NaN NaN -2.436 1.324 1999 2 NaN NaN NaN NaN NaN NaN 0.269 4.053 1999 3 NaN NaN NaN NaN NaN NaN 2.715 4.003 1999 4 NaN NaN NaN NaN NaN NaN 3.287 1.113 1999 5 NaN NaN NaN NaN NaN NaN 9.616 3.208 1999 6 NaN NaN NaN NaN NaN NaN 13.151 1.824 1999 7 NaN NaN NaN NaN NaN NaN 16.894 1.248