% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36903 % Primary Name: WOOD RIVER JUNCTION % Record Type: TAVG % Country: United States % State: RI % Latitude: 41.43330 +/- 0.00005 % Longitude: -71.70000 +/- 0.00005 % Elevation (m): 14.90 +/- 0.05 % # of Months: 118 % % IDs: coop - 379327 % ghcnd - USC00379327 % ncdc - 20017284 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 52ba633a6dc4aaf94a91be4704f0b04c % Raw Data Hash: 3528f2b6ea2cbcd9feda8e85764c81dd % Adj Data Hash: 4ed12b8abb2a5271f64a6847f080f81f % % 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 1937 4 NaN NaN NaN NaN NaN NaN 7.471 -0.733 1937 5 NaN NaN NaN NaN NaN NaN 14.502 1.026 1937 6 NaN NaN NaN NaN NaN NaN 18.599 0.070 1937 7 NaN NaN NaN NaN NaN NaN 21.907 0.110 1937 8 NaN NaN NaN NaN NaN NaN 23.144 1.599 1937 9 NaN NaN NaN NaN NaN NaN 17.156 -0.978 1937 10 NaN NaN NaN NaN NaN NaN 11.758 -0.937 1937 11 NaN NaN NaN NaN NaN NaN 7.869 0.200 1937 12 NaN NaN NaN NaN NaN NaN 0.953 -0.796 1938 1 NaN NaN NaN NaN NaN NaN -0.568 0.148 1938 2 NaN NaN NaN NaN NaN NaN 1.032 1.428 1938 3 NaN NaN NaN NaN NaN NaN 4.890 1.618 1938 4 8.178 1.387 0 0 8.178 1.387 9.296 1.092 1938 5 11.758 -0.305 0 0 11.758 -0.305 12.401 -1.075 1938 6 17.415 0.299 0 0 17.415 0.299 17.964 -0.565 1938 7 21.206 0.823 0 0 21.206 0.823 21.874 0.078 1938 8 21.569 1.437 0 0 21.569 1.437 22.728 1.183 1938 9 14.916 -1.806 0 0 14.916 -1.806 16.974 -1.160 1938 10 12.250 0.968 0 0 12.250 0.968 13.915 1.220 1938 11 6.120 -0.137 0 0 6.120 -0.137 8.899 1.230 1938 12 1.008 0.672 0 0 1.008 0.672 2.196 0.448 1939 1 -2.813 -0.684 0 0 -2.813 -0.684 -0.592 0.124 1939 2 0.050 1.858 0 0 0.050 1.858 1.553 1.949 1939 3 1.045 -0.814 0 0 1.045 -0.814 2.439 -0.832 1939 4 6.131 -0.660 0 0 6.131 -0.660 7.001 -1.203 1939 5 12.631 0.568 0 0 12.631 0.568 13.845 0.369 1939 6 17.020 -0.096 0 0 17.020 -0.096 18.393 -0.136 1939 7 20.293 -0.091 0 0 20.293 -0.091 21.317 -0.480 1939 8 21.329 1.197 0 0 21.329 1.197 22.989 1.444 1939 9 15.005 -1.716 0 0 15.005 -1.716 17.893 -0.241 1939 10 9.339 -1.943 1 0 NaN NaN 12.526 -0.169 1939 11 1.191 -5.066 0 0 1.191 -5.066 6.103 -1.566 1939 12 -1.166 -1.502 0 0 -1.166 -1.502 1.748 -0.001 1940 1 -7.618 -5.489 0 0 -7.618 -5.489 -4.570 -3.854 1940 2 -2.516 -0.707 0 0 -2.516 -0.707 -0.494 -0.098 1940 3 -1.522 -3.381 0 0 -1.522 -3.381 0.493 -2.778 1940 4 NaN NaN NaN NaN NaN NaN 6.066 -2.138 1940 5 13.122 1.059 0 0 13.122 1.059 12.784 -0.692 1940 6 NaN NaN NaN NaN NaN NaN 17.274 -1.255 1940 7 20.894 0.510 0 0 20.894 0.510 21.313 -0.484 1940 8 18.497 -1.635 0 0 18.497 -1.635 19.436 -2.109 1940 9 15.394 -1.328 0 0 15.394 -1.328 17.124 -1.010 1940 10 7.761 -3.521 0 0 7.761 -3.521 10.359 -2.336 1940 11 4.609 -1.648 0 0 4.609 -1.648 7.400 -0.269 1940 12 0.748 0.412 0 0 0.748 0.412 2.823 1.074 1941 1 -3.313 -1.184 0 0 -3.313 -1.184 -1.595 -0.879 1941 2 -2.429 -0.620 0 0 -2.429 -0.620 -1.201 -0.806 1941 3 -0.327 -2.185 0 0 -0.327 -2.185 0.743 -2.529 1941 4 9.091 2.300 0 0 9.091 2.300 10.629 2.426 1941 5 13.648 1.585 0 0 13.648 1.585 14.178 0.702 1941 6 17.710 0.594 0 0 17.710 0.594 18.275 -0.254 1941 7 21.189 0.805 0 0 21.189 0.805 21.373 -0.424 1941 8 19.129 -1.003 0 0 19.129 -1.003 20.657 -0.887 1941 9 16.608 -0.113 0 0 16.608 -0.113 18.656 0.521 1941 10 11.548 0.266 0 0 11.548 0.266 14.092 1.397 1941 11 5.592 -0.665 0 0 5.592 -0.665 9.461 1.792 1941 12 1.108 0.772 0 0 1.108 0.772 3.033 1.285 1942 1 -3.681 -1.552 0 0 -3.681 -1.552 -1.306 -0.590 1942 2 -2.823 -1.015 0 0 -2.823 -1.015 -1.774 -1.379 1942 3 3.880 2.021 0 0 3.880 2.021 4.918 1.646 1942 4 7.950 1.159 0 0 7.950 1.159 9.178 0.974 1942 5 15.327 3.264 0 0 15.327 3.264 15.150 1.674 1942 6 18.600 1.484 0 0 18.600 1.484 18.604 0.075 1942 7 21.048 0.665 0 0 21.048 0.665 21.596 -0.200 1942 8 19.765 -0.368 0 0 19.765 -0.368 20.779 -0.766 1942 9 16.628 -0.093 0 0 16.628 -0.093 18.096 -0.038 1942 10 10.761 -0.521 0 0 10.761 -0.521 13.242 0.547 1942 11 4.532 -1.725 0 0 4.532 -1.725 8.102 0.433 1942 12 -2.868 -3.203 0 0 -2.868 -3.203 -0.793 -2.541 1943 1 -3.324 -1.196 0 0 -3.324 -1.196 -1.463 -0.747 1943 2 -2.057 -0.249 0 0 -2.057 -0.249 -0.257 0.138 1943 3 1.792 -0.067 0 0 1.792 -0.067 2.760 -0.512 1943 4 5.110 -1.681 0 0 5.110 -1.681 5.797 -2.406 1943 5 13.205 1.142 0 0 13.205 1.142 13.540 0.064 1943 6 20.232 3.115 0 0 20.232 3.115 20.531 2.002 1943 7 21.547 1.163 0 0 21.547 1.163 21.850 0.054 1943 8 19.860 -0.272 0 0 19.860 -0.272 21.413 -0.132 1943 9 16.102 -0.620 0 0 16.102 -0.620 17.738 -0.396 1943 10 10.126 -1.156 0 0 10.126 -1.156 12.361 -0.333 1943 11 3.469 -2.788 0 0 3.469 -2.788 7.166 -0.503 1943 12 -3.271 -3.607 0 0 -3.271 -3.607 -0.606 -2.354 1944 1 -1.934 0.195 0 0 -1.934 0.195 0.293 1.009 1944 2 -3.057 -1.249 0 0 -3.057 -1.249 -0.831 -0.436 1944 3 0.921 -0.938 0 0 0.921 -0.938 1.880 -1.391 1944 4 6.090 -0.701 0 0 6.090 -0.701 6.798 -1.405 1944 5 15.815 3.751 0 0 15.815 3.751 15.477 2.001 1944 6 19.160 2.044 0 0 19.160 2.044 18.793 0.264 1944 7 21.717 1.333 0 0 21.717 1.333 22.508 0.711 1944 8 21.970 1.838 0 0 21.970 1.838 22.608 1.063 1944 9 17.355 0.633 0 0 17.355 0.633 18.837 0.702 1944 10 10.461 -0.821 0 0 10.461 -0.821 12.097 -0.598 1944 11 5.375 -0.882 0 0 5.375 -0.882 7.519 -0.150 1944 12 -1.950 -2.286 0 0 -1.950 -2.286 -0.127 -1.876 1945 1 -4.479 -2.350 0 0 -4.479 -2.350 -3.389 -2.673 1945 2 NaN NaN NaN NaN NaN NaN -0.503 -0.107 1945 3 6.046 4.188 0 0 6.046 4.188 7.559 4.288 1945 4 10.771 3.980 0 0 10.771 3.980 10.877 2.673 1945 5 11.906 -0.157 0 0 11.906 -0.157 12.147 -1.329 1945 6 18.312 1.195 0 0 18.312 1.195 18.373 -0.156 1945 7 22.329 1.945 0 0 22.329 1.945 21.578 -0.218 1945 8 20.290 0.158 0 0 20.290 0.158 20.670 -0.874 1945 9 19.163 2.442 0 0 19.163 2.442 19.835 1.700 1945 10 9.768 -1.514 0 0 9.768 -1.514 11.989 -0.706 1945 11 6.157 -0.100 0 0 6.157 -0.100 8.763 1.094 1945 12 -4.260 -4.595 0 0 -4.260 -4.595 -1.500 -3.248 1946 1 -2.044 0.084 0 0 -2.044 0.084 0.040 0.756 1946 2 -2.552 -0.744 0 0 -2.552 -0.744 -1.141 -0.746 1946 3 5.794 3.935 0 0 5.794 3.935 7.434 4.162 1946 4 6.343 -0.448 0 0 6.343 -0.448 7.561 -0.642 1946 5 12.656 0.593 0 0 12.656 0.593 12.997 -0.479 1946 6 17.421 0.305 0 0 17.421 0.305 17.628 -0.901 1946 7 20.576 0.192 0 0 20.576 0.192 20.909 -0.888 1946 8 19.107 -1.025 0 0 19.107 -1.025 19.651 -1.894 1946 9 17.315 0.593 0 0 17.315 0.593 18.842 0.708 1946 10 12.745 1.463 0 0 12.745 1.463 14.575 1.880 1946 11 6.600 0.343 1 0 NaN NaN 10.198 2.529 1946 12 0.205 -0.131 0 0 0.205 -0.131 2.392 0.644 1947 1 -0.030 2.099 0 0 -0.030 2.099 2.048 2.764 1947 2 -2.516 -0.708 0 0 -2.516 -0.708 -1.706 -1.311 1947 3 0.585 -1.273 0 0 0.585 -1.273 2.162 -1.109 1947 4 5.821 -0.970 0 0 5.821 -0.970 7.791 -0.413 1947 5 11.730 -0.333 0 0 11.730 -0.333 12.557 -0.918 1947 6 15.955 -1.161 0 0 15.955 -1.161 16.991 -1.538 1947 7 21.484 1.100 0 0 21.484 1.100 21.979 0.182 1947 8 21.592 1.460 0 0 21.592 1.460 22.210 0.665 1947 9 16.435 -0.287 0 0 16.435 -0.287 18.464 0.329 1947 10 12.782 1.500 0 0 12.782 1.500 15.262 2.567 1947 11 3.935 -2.322 0 0 3.935 -2.322 6.721 -0.948 1947 12 NaN NaN NaN NaN NaN NaN 0.023 -1.726 1948 1 -5.323 -3.194 0 0 -5.323 -3.194 -3.766 -3.050 1948 2 -4.307 -2.499 0 0 -4.307 -2.499 -2.506 -2.110 1948 3 2.580 0.721 0 0 2.580 0.721 3.520 0.249 1948 4 7.531 0.740 0 0 7.531 0.740 7.993 -0.210 1948 5 12.769 0.706 0 0 12.769 0.706 12.470 -1.006 1948 6 NaN NaN NaN NaN NaN NaN 17.340 -1.189 1948 7 NaN NaN NaN NaN NaN NaN 21.855 0.059 1948 8 NaN NaN NaN NaN NaN NaN 21.849 0.305 1948 9 NaN NaN NaN NaN NaN NaN 18.399 0.265 1948 10 NaN NaN NaN NaN NaN NaN 12.263 -0.432 1948 11 NaN NaN NaN NaN NaN NaN 10.805 3.135 1948 12 NaN NaN NaN NaN NaN NaN 2.531 0.783 1949 1 NaN NaN NaN NaN NaN NaN 3.251 3.967 1949 2 NaN NaN NaN NaN NaN NaN 2.520 2.915 1949 3 NaN NaN NaN NaN NaN NaN 4.079 0.807 1949 4 NaN NaN NaN NaN NaN NaN 9.536 1.332 1949 5 NaN NaN NaN NaN NaN NaN 13.848 0.372