% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37580 % Primary Name: KNAPP CREEK % Record Type: TAVG % Country: United States % State: NY % Latitude: 42.00000 +/- 0.00005 % Longitude: -78.51670 +/- 0.00005 % Elevation (m): 723.00 +/- 0.05 % # of Months: 133 % % IDs: coop - 304450 % ghcnd - USC00304450 % ncdc - 20019617 % wban - 94722 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 52a9709b6e10fc65b9a10c32d444c72b % Raw Data Hash: 6a3fcc5578ab42b18152c562901833f7 % Adj Data Hash: 9a3be7058da77ea618f680efa32aa248 % % 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 1936 5 NaN NaN NaN NaN NaN NaN 14.264 1.254 1936 6 NaN NaN NaN NaN NaN NaN 18.488 0.072 1936 7 NaN NaN NaN NaN NaN NaN 21.456 0.534 1936 8 NaN NaN NaN NaN NaN NaN 20.688 0.686 1936 9 NaN NaN NaN NaN NaN NaN 17.180 1.097 1936 10 NaN NaN NaN NaN NaN NaN 10.242 0.336 1936 11 NaN NaN NaN NaN NaN NaN 1.517 -2.345 1936 12 NaN NaN NaN NaN NaN NaN -1.144 1.495 1937 1 NaN NaN NaN NaN NaN NaN -1.174 4.228 1937 2 NaN NaN NaN NaN NaN NaN -3.149 1.488 1937 3 NaN NaN NaN NaN NaN NaN -2.530 -2.853 1937 4 NaN NaN NaN NaN NaN NaN 6.393 -0.523 1937 5 12.859 1.344 0 0 12.859 1.344 13.181 0.171 1937 6 NaN NaN NaN NaN NaN NaN 18.403 -0.012 1937 7 NaN NaN NaN NaN NaN NaN 21.326 0.405 1937 8 19.479 0.973 0 0 19.479 0.973 21.930 1.929 1937 9 12.000 -2.588 0 0 12.000 -2.588 15.138 -0.945 1937 10 6.000 -2.411 0 0 6.000 -2.411 8.296 -1.610 1937 11 1.056 -1.311 0 0 1.056 -1.311 3.757 -0.105 1937 12 -5.222 -1.088 0 0 -5.222 -1.088 -4.256 -1.617 1938 1 -6.000 0.897 0 0 -6.000 0.897 -5.698 -0.296 1938 2 -3.278 2.855 0 0 -3.278 2.855 -2.638 1.999 1938 3 2.444 3.616 0 0 2.444 3.616 3.491 3.167 1938 4 6.444 1.024 0 0 6.444 1.024 8.058 1.143 1938 5 11.333 -0.182 0 0 11.333 -0.182 12.413 -0.597 1938 6 16.444 -0.476 0 0 16.444 -0.476 18.230 -0.185 1938 7 19.667 0.240 0 0 19.667 0.240 21.496 0.575 1938 8 20.000 1.494 0 0 20.000 1.494 21.733 1.732 1938 9 12.500 -2.088 0 0 12.500 -2.088 14.326 -1.758 1938 10 10.000 1.589 0 0 10.000 1.589 10.740 0.834 1938 11 3.167 0.800 0 0 3.167 0.800 4.934 1.073 1938 12 -3.889 0.245 0 0 -3.889 0.245 -2.434 0.205 1939 1 -4.889 2.008 0 0 -4.889 2.008 -4.684 0.718 1939 2 -4.444 1.688 0 0 -4.444 1.688 -3.736 0.902 1939 3 -1.833 -0.662 0 0 -1.833 -0.662 -0.760 -1.084 1939 4 4.111 -1.309 0 0 4.111 -1.309 5.154 -1.762 1939 5 14.333 2.818 0 0 14.333 2.818 13.947 0.937 1939 6 17.167 0.247 0 0 17.167 0.247 18.796 0.381 1939 7 19.111 -0.315 0 0 19.111 -0.315 20.952 0.031 1939 8 19.889 1.383 0 0 19.889 1.383 21.340 1.338 1939 9 15.111 0.523 0 0 15.111 0.523 17.007 0.924 1939 10 9.000 0.589 0 0 9.000 0.589 10.155 0.249 1939 11 0.778 -1.589 0 0 0.778 -1.589 2.390 -1.472 1939 12 -3.126 1.008 0 0 -3.126 1.008 -1.609 1.030 1940 1 -11.000 -4.103 0 0 -11.000 -4.103 -9.473 -4.071 1940 2 -5.778 0.355 0 0 -5.778 0.355 -5.329 -0.691 1940 3 -4.500 -3.329 0 0 -4.500 -3.329 -3.329 -3.652 1940 4 3.111 -2.309 0 0 3.111 -2.309 4.862 -2.054 1940 5 11.889 0.374 0 0 11.889 0.374 12.384 -0.626 1940 6 16.444 -0.476 0 0 16.444 -0.476 17.806 -0.609 1940 7 19.333 -0.093 0 0 19.333 -0.093 20.711 -0.210 1940 8 17.222 -1.284 0 0 17.222 -1.284 19.285 -0.716 1940 9 13.444 -1.144 0 0 13.444 -1.144 15.024 -1.059 1940 10 6.833 -1.577 0 0 6.833 -1.577 8.129 -1.777 1940 11 0.889 -1.478 0 0 0.889 -1.478 3.558 -0.303 1940 12 -1.944 2.189 0 0 -1.944 2.189 -1.340 1.298 1941 1 -6.889 0.008 0 0 -6.889 0.008 -5.478 -0.076 1941 2 -7.389 -1.257 0 0 -7.389 -1.257 -5.908 -1.271 1941 3 -4.889 -3.717 0 0 -4.889 -3.717 -3.096 -3.420 1941 4 9.556 4.135 0 0 9.556 4.135 9.709 2.794 1941 5 12.889 1.374 0 0 12.889 1.374 13.452 0.442 1941 6 17.444 0.524 0 0 17.444 0.524 19.263 0.848 1941 7 19.889 0.463 0 0 19.889 0.463 21.857 0.935 1941 8 17.444 -1.062 0 0 17.444 -1.062 18.752 -1.250 1941 9 15.889 1.301 0 0 15.889 1.301 17.473 1.390 1941 10 9.889 1.478 0 0 9.889 1.478 11.339 1.433 1941 11 3.333 0.967 0 0 3.333 0.967 5.840 1.978 1941 12 -2.222 1.912 0 0 -2.222 1.912 -0.875 1.763 1942 1 -6.778 0.119 0 0 -6.778 0.119 -5.426 -0.024 1942 2 -8.833 -2.701 0 0 -8.833 -2.701 -7.281 -2.644 1942 3 -0.056 1.116 0 0 -0.056 1.116 1.855 1.532 1942 4 8.778 3.357 0 0 8.778 3.357 9.642 2.727 1942 5 13.167 1.652 0 0 13.167 1.652 14.311 1.301 1942 6 17.111 0.191 0 0 17.111 0.191 18.714 0.298 1942 7 18.222 -1.204 0 0 18.222 -1.204 20.480 -0.441 1942 8 17.111 -1.395 0 0 17.111 -1.395 19.514 -0.487 1942 9 13.889 -0.699 0 0 13.889 -0.699 16.104 0.020 1942 10 9.000 0.589 0 0 9.000 0.589 10.621 0.715 1942 11 1.556 -0.811 0 0 1.556 -0.811 4.241 0.380 1942 12 -6.722 -2.588 0 0 -6.722 -2.588 -5.328 -2.689 1943 1 -7.111 -0.214 0 0 -7.111 -0.214 -6.869 -1.467 1943 2 -5.556 0.577 0 0 -5.556 0.577 -4.140 0.497 1943 3 -1.333 -0.162 0 0 -1.333 -0.162 -0.261 -0.584 1943 4 1.611 -3.809 0 0 1.611 -3.809 3.519 -3.397 1943 5 11.722 0.207 0 0 11.722 0.207 12.342 -0.668 1943 6 19.667 2.747 0 0 19.667 2.747 20.603 2.187 1943 7 19.444 0.018 0 0 19.444 0.018 21.066 0.145 1943 8 18.556 0.049 0 0 18.556 0.049 19.740 -0.261 1943 9 13.778 -0.810 0 0 13.778 -0.810 15.147 -0.937 1943 10 7.389 -1.022 0 0 7.389 -1.022 8.644 -1.262 1943 11 0.000 -2.367 0 0 0.000 -2.367 2.574 -1.288 1943 12 -5.389 -1.255 0 0 -5.389 -1.255 -4.410 -1.771 1944 1 -3.778 3.119 0 0 -3.778 3.119 -2.657 2.745 1944 2 -5.833 0.299 0 0 -5.833 0.299 -4.794 -0.156 1944 3 -3.444 -2.273 0 0 -3.444 -2.273 -1.207 -1.530 1944 4 3.278 -2.143 0 0 3.278 -2.143 4.707 -2.208 1944 5 15.889 4.374 0 0 15.889 4.374 16.189 3.179 1944 6 17.222 0.302 0 0 17.222 0.302 19.241 0.826 1944 7 19.333 -0.093 0 0 19.333 -0.093 21.263 0.342 1944 8 19.222 0.716 0 0 19.222 0.716 21.213 1.212 1944 9 13.722 -0.866 0 0 13.722 -0.866 16.360 0.277 1944 10 7.056 -1.355 0 0 7.056 -1.355 9.276 -0.630 1944 11 2.056 -0.311 0 0 2.056 -0.311 4.953 1.091 1944 12 -6.667 -2.533 0 0 -6.667 -2.533 -5.664 -3.025 1945 1 -11.111 -4.214 0 0 -11.111 -4.214 -10.132 -4.730 1945 2 -5.222 0.910 0 0 -5.222 0.910 -4.439 0.198 1945 3 5.000 6.171 0 0 5.000 6.171 6.458 6.134 1945 4 7.556 2.135 0 0 7.556 2.135 9.713 2.797 1945 5 8.889 -2.626 0 0 8.889 -2.626 10.027 -2.983 1945 6 15.667 -1.253 0 0 15.667 -1.253 17.126 -1.289 1945 7 18.444 -0.982 0 0 18.444 -0.982 20.359 -0.563 1945 8 18.056 -0.451 0 0 18.056 -0.451 19.840 -0.161 1945 9 14.889 0.301 0 0 14.889 0.301 17.276 1.193 1945 10 7.111 -1.300 0 0 7.111 -1.300 9.169 -0.737 1945 11 1.778 -0.589 0 0 1.778 -0.589 4.463 0.601 1945 12 -7.222 -3.088 0 0 -7.222 -3.088 -5.984 -3.346 1946 1 -5.556 1.342 0 0 -5.556 1.342 -4.011 1.391 1946 2 -6.556 -0.423 0 0 -6.556 -0.423 -5.081 -0.444 1946 3 5.556 6.727 0 0 5.556 6.727 6.410 6.086 1946 4 4.889 -0.532 0 0 4.889 -0.532 6.766 -0.150 1946 5 11.056 -0.459 0 0 11.056 -0.459 12.078 -0.932 1946 6 15.556 -1.365 0 0 15.556 -1.365 17.447 -0.968 1946 7 18.556 -0.871 0 0 18.556 -0.871 20.409 -0.513 1946 8 15.667 -2.840 0 0 15.667 -2.840 17.826 -2.175 1946 9 15.444 0.856 0 0 15.444 0.856 16.993 0.910 1946 10 11.778 3.367 0 0 11.778 3.367 12.650 2.744 1946 11 4.111 1.745 0 0 4.111 1.745 6.216 2.355 1946 12 -3.167 0.967 0 0 -3.167 0.967 -1.666 0.973 1947 1 -3.611 3.286 0 0 -3.611 3.286 -2.464 2.938 1947 2 -9.000 -2.868 0 0 -9.000 -2.868 -7.038 -2.401 1947 3 -3.889 -2.717 0 0 -3.889 -2.717 -1.814 -2.138 1947 4 5.000 -0.420 0 0 5.000 -0.420 6.518 -0.398 1947 5 10.444 -1.071 0 0 10.444 -1.071 11.557 -1.453 1947 6 16.222 -0.698 0 0 16.222 -0.698 17.778 -0.637 1947 7 17.778 -1.649 0 0 17.778 -1.649 20.097 -0.824 1947 8 21.222 2.716 0 0 21.222 2.716 22.807 2.806 1947 9 14.778 0.190 0 0 14.778 0.190 17.035 0.952 1947 10 13.222 4.811 0 0 13.222 4.811 14.150 4.244 1947 11 0.056 -2.311 0 0 0.056 -2.311 2.676 -1.185 1947 12 -4.778 -0.644 0 0 -4.778 -0.644 -3.707 -1.069 1948 1 -10.000 -3.103 0 0 -10.000 -3.103 -8.826 -3.424 1948 2 -5.667 0.466 0 0 -5.667 0.466 -5.410 -0.773 1948 3 0.389 1.560 0 0 0.389 1.560 1.047 0.723 1948 4 7.278 1.857 0 0 7.278 1.857 9.080 2.165 1948 5 10.667 -0.848 0 0 10.667 -0.848 11.216 -1.794 1948 6 16.500 -0.420 0 0 16.500 -0.420 17.804 -0.611 1948 7 19.224 -0.202 0 0 19.224 -0.202 21.269 0.347 1948 8 NaN NaN NaN NaN NaN NaN 20.170 0.169 1948 9 NaN NaN NaN NaN NaN NaN 17.178 1.095 1948 10 NaN NaN NaN NaN NaN NaN 8.771 -1.135 1948 11 NaN NaN NaN NaN NaN NaN 7.444 3.583 1948 12 NaN NaN NaN NaN NaN NaN -1.574 1.065 1949 1 NaN NaN NaN NaN NaN NaN -1.667 3.735 1949 2 NaN NaN NaN NaN NaN NaN -1.337 3.300 1949 3 NaN NaN NaN NaN NaN NaN 0.897 0.573 1949 4 NaN NaN NaN NaN NaN NaN 7.038 0.122 1949 5 NaN NaN NaN NaN NaN NaN 13.665 0.655 1949 6 NaN NaN NaN NaN NaN NaN 21.293 2.877 1949 7 NaN NaN NaN NaN NaN NaN 22.891 1.969