% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39991 % Primary Name: CLAYTON % Record Type: TAVG % Country: United States % State: ID % Latitude: 44.26670 +/- 0.00005 % Longitude: -114.48330 +/- 0.00005 % Elevation (m): 1725.47 +/- 0.15 % # of Months: 43 % % Alternate Names: Missing Station ID - 101853 % % IDs: coop - 101853 % ghcnd - USC00101853 % ncdc - 12001555 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: bddd9f6646ad0eef740c38d6cb552adf % Raw Data Hash: 904c1e95e33ef049823b5fee67bee24a % Adj Data Hash: a2d38cc19fd788d449ed33848d42f0cc % % 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 0.418 -1.533 1937 5 NaN NaN NaN NaN NaN NaN 8.946 1.653 1937 6 NaN NaN NaN NaN NaN NaN 10.339 -1.316 1937 7 NaN NaN NaN NaN NaN NaN 17.454 1.437 1937 8 NaN NaN NaN NaN NaN NaN 14.628 -0.198 1937 9 NaN NaN NaN NaN NaN NaN 11.342 1.208 1937 10 NaN NaN NaN NaN NaN NaN 6.317 2.166 1937 11 NaN NaN NaN NaN NaN NaN -2.262 1.033 1937 12 NaN NaN NaN NaN NaN NaN -7.091 1.569 1938 1 NaN NaN NaN NaN NaN NaN -8.591 1.515 1938 2 NaN NaN NaN NaN NaN NaN -6.106 0.768 1938 3 NaN NaN NaN NaN NaN NaN -4.946 -1.294 1938 4 7.164 3.293 1 0 NaN NaN 2.355 0.405 1938 5 9.056 -0.157 0 0 9.056 -0.157 6.572 -0.721 1938 6 14.598 1.024 0 0 14.598 1.024 11.570 -0.085 1938 7 17.202 -0.735 0 0 17.202 -0.735 15.471 -0.546 1938 8 16.360 -0.386 1 0 NaN NaN 14.319 -0.507 1938 9 13.937 1.883 0 0 13.937 1.883 12.392 2.258 1938 10 6.765 0.694 0 0 6.765 0.694 5.208 1.058 1938 11 NaN NaN NaN NaN NaN NaN -6.251 -2.956 1938 12 -4.443 2.296 1 0 NaN NaN -7.036 1.624 1939 1 -5.778 2.408 0 0 -5.778 2.408 -8.271 1.836 1939 2 -8.857 -3.903 0 0 -8.857 -3.903 -10.267 -3.393 1939 3 -0.560 1.173 0 0 -0.560 1.173 -3.408 0.244 1939 4 6.580 2.709 0 0 6.580 2.709 3.904 1.953 1939 5 10.217 1.004 1 0 NaN NaN 8.944 1.651 1939 6 11.263 -2.311 0 0 11.263 -2.311 9.276 -2.379 1939 7 18.048 0.111 0 0 18.048 0.111 16.771 0.754 1939 8 16.184 -0.562 0 0 16.184 -0.562 15.470 0.644 1939 9 11.682 -0.372 1 0 NaN NaN 10.338 0.204 1939 10 6.400 0.330 0 0 6.400 0.330 5.144 0.994 1939 11 -0.231 1.145 0 0 -0.231 1.145 -0.927 2.368 1939 12 NaN NaN NaN NaN NaN NaN -3.919 4.741 1940 1 -6.421 1.766 0 0 -6.421 1.766 -8.869 1.238 1940 2 -4.353 0.601 1 0 NaN NaN -4.805 2.069 1940 3 1.444 3.176 0 0 1.444 3.176 -1.526 2.126 1940 4 6.318 2.447 0 0 6.318 2.447 3.158 1.207 1940 5 11.524 2.311 0 0 11.524 2.311 9.655 2.362 1940 6 16.147 2.572 0 0 16.147 2.572 13.467 1.812 1940 7 17.823 -0.115 0 0 17.823 -0.115 16.947 0.930 1940 8 17.444 0.697 0 0 17.444 0.697 16.080 1.254 1940 9 12.137 0.083 0 0 12.137 0.083 10.162 0.028 1940 10 7.323 1.252 0 0 7.323 1.252 6.250 2.099 1940 11 -3.647 -2.271 0 0 -3.647 -2.271 -5.243 -1.948 1940 12 -5.450 1.290 1 0 NaN NaN -6.448 2.212 1941 1 -4.151 4.035 1 0 NaN NaN -8.375 1.731 1941 2 -3.436 1.517 1 0 NaN NaN -4.620 2.254 1941 3 2.281 4.013 1 0 NaN NaN -1.566 2.086 1941 4 5.137 1.266 0 0 5.137 1.266 2.413 0.462 1941 5 9.423 0.210 0 0 9.423 0.210 8.271 0.978 1941 6 NaN NaN NaN NaN NaN NaN 10.781 -0.873 1941 7 NaN NaN NaN NaN NaN NaN 16.692 0.675 1941 8 NaN NaN NaN NaN NaN NaN 14.132 -0.694 1941 9 NaN NaN NaN NaN NaN NaN 6.914 -3.219 1941 10 NaN NaN NaN NaN NaN NaN 4.135 -0.015 1941 11 NaN NaN NaN NaN NaN NaN -1.519 1.777 1941 12 -5.530 1.210 1 0 NaN NaN -7.171 1.489 1942 1 -12.019 -3.832 1 0 NaN NaN -11.795 -1.689 1942 2 -9.357 -4.403 0 0 -9.357 -4.403 -10.539 -3.665 1942 3 -3.156 -1.424 0 0 -3.156 -1.424 -6.377 -2.725 1942 4 5.516 1.645 1 0 NaN NaN 3.335 1.384 1942 5 NaN NaN NaN NaN NaN NaN 5.177 -2.116 1942 6 NaN NaN NaN NaN NaN NaN 9.014 -2.640 1942 7 NaN NaN NaN NaN NaN NaN 17.039 1.022 1942 8 NaN NaN NaN NaN NaN NaN 15.208 0.381 1942 9 NaN NaN NaN NaN NaN NaN 10.335 0.201 1942 10 NaN NaN NaN NaN NaN NaN 5.636 1.486 1942 11 NaN NaN NaN NaN NaN NaN -3.527 -0.232 1942 12 -5.955 0.785 1 0 NaN NaN -8.195 0.464 1943 1 -9.248 -1.061 0 0 -9.248 -1.061 -10.937 -0.831 1943 2 NaN NaN NaN NaN NaN NaN -6.780 0.094 1943 3 NaN NaN NaN NaN NaN NaN -7.191 -3.539 1943 4 NaN NaN NaN NaN NaN NaN 4.910 2.959 1943 5 NaN NaN NaN NaN NaN NaN 6.035 -1.258 1943 6 NaN NaN NaN NaN NaN NaN 8.898 -2.756 1943 7 NaN NaN NaN NaN NaN NaN 16.226 0.209 1943 8 NaN NaN NaN NaN NaN NaN 14.483 -0.343 1943 9 NaN NaN NaN NaN NaN NaN 11.705 1.571 1943 10 NaN NaN NaN NaN NaN NaN 5.617 1.466 1943 11 NaN NaN NaN NaN NaN NaN -1.912 1.383 1943 12 NaN NaN NaN NaN NaN NaN -7.334 1.326 1944 1 NaN NaN NaN NaN NaN NaN -11.051 -0.944